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Review

Supernova Neutrinos: Flavour Conversion Mechanisms and New Physics Scenarios

Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
Current address: Particle & Astroparticle Physics Division, Saupfercheckweg 1, 69117 Heidelberg, Germany.
Universe 2024, 10(6), 238; https://doi.org/10.3390/universe10060238
Submission received: 17 April 2024 / Revised: 17 May 2024 / Accepted: 29 May 2024 / Published: 30 May 2024
(This article belongs to the Special Issue Neutrinos across Different Energy Scales)

Abstract

:
A core-collapse supernova (SN) releases almost all of its energy in the form of neutrinos, which provide a unique opportunity to probe the working machinery of an SN. These sites are prone to neutrino–neutrino refractive effects, which can lead to fascinating collective flavour oscillations among neutrinos. This causes rapid neutrino flavour conversions deep inside the SN even for suppressed mixing angles, with intriguing consequences for the explosion mechanism as well as nucleosynthesis. We review the physics of collective oscillations of neutrinos—both slow and fast—along with the well-known resonant flavour conversion effects and discuss the current state-of-the-art of the field. Furthermore, we discuss how neutrinos from an SN can be used to probe novel particle physics properties, extreme values of which are otherwise inaccessible in laboratories.

1. Introduction

The observation of neutrinos originating from the supernova SN1987A stands as a pioneering moment in the realm of multi-messenger physics. This pivotal event involved the detection of neutrino signals several hours before the emergence of visible light. Despite the modest quantity of data, encompassing roughly 30 neutrino events recorded by Kamiokande-II (KII) [1,2], IMB [3,4], and Baksan [5], it has garnered considerable attention within the fields of particle and astroparticle physics, serving as a valuable resource for exploring fundamental questions in the discipline.
The working machinery of a core-collapse supernova (SN) can be briefly described as follows (for detailed reviews, see Refs. [6,7,8,9,10,11,12,13,14]). At the end of nuclear burning, a massive star (more than 8 M ) ends up with an iron core with concentric shells of lighter elements above it. As the iron core grows in mass due to accretion and crosses the Chandrasekhar mass limit, electron degeneracy pressure fails to support it, and a collapse is triggered. The collapse proceeds until nuclear densities are reached, which is when the equation of state becomes stiff and resists further infall, resulting in a core bounce. This launches an energetic shockwave that travels outwards from the core and is responsible for exploding the star.
Simulations suggest that this shockwave is not powerful enough to blow up the star, but rather, it loses energy and stalls at a radius of around 100–200 km from the core [15,16]. As the shock stalls, the compact protoneutron star at the centre begins to grow by accretion of infalling stellar material. In this entire process, a lot of neutrinos are released, which start free-streaming from the neutrinosphere—the surface of the last scattering—at a radius of around 30 km from the core [17]. It is widely believed that the emitted neutrinos deposit their energy in the region behind the shock and re-energise the shockwave causing a successful explosion, also known as the delayed neutrino-heating mechanism of the explosion [18,19]. This scenario is highly sensitive to the neutrino flavour information and hence requires a precise understanding of neutrino flavour oscillations. The question of SN explosion also depends on the SN geometry used in simulations. Initial studies focussed on simplistic spherically symmetric (1D) SN models seldom resulted in an explosion; however, we are now in an era of 3D simulations, which can capture the multidimensional turbulent convection in the SN envelope in detail. This has led to a better understanding of the role played by convection as well as the breaking of spherical symmetry in SN explosions [14].
It is widely acknowledged that investigating neutrinos emitted during the core collapse of a galactic SN offers a unique opportunity to delve into the dynamics of these explosive phenomena. These neutrinos originate from deep inside the supernova and traverse the entire matter envelope before reaching Earth. The composition of neutrino flavours is exquisitely sensitive to the fermion density they encounter during their journey.
Before the turn of the millennium, prevailing scientific belief centred on resonant flavour conversions within the SN, driven by the Mikheyev–Smirnov–Wolfenstein (MSW) effect [20,21,22,23]. This perspective, however, overlooked a fundamental factor: the impact of neutrino self-interactions, a critical element governing neutrino flavour dynamics within a dense medium, as discussed by Pantaleone in two classic papers [24,25]. In regions near the neutrinosphere, where neutrino density is substantial, forward scattering of neutrinos on a background of other neutrinos prevails as the dominant factor in the propagation Hamiltonian [26,27,28,29,30]. These self-interactions manifest as a potential link to the background neutrino density, denoted by n ν . Furthermore, neutral current interactions among neutrinos of different flavours, characterised by their indifference to flavour, also contribute off-diagonal components to this forward-scattering potential. Consequently, neutrinos were found to undergo collective flavour transformation, unveiling a diverse range of phenomena [28,29,30].
Until the first decade of the millennium, the prevailing belief was that these collective oscillations, termed bipolar flavour conversions, would grow with a rate roughly linked to ( Δ m 2 ) n ν , where Δ m 2 represents the neutrino mass-squared difference [29,31,32]. Simplistic toy models indicated that such flavour conversions occurred in the vicinity of the stalled shockwave at approximately 150–200 km from the core. This hinted at their potential involvement in facilitating a shockwave-driven explosion. However, as research progressed, it became evident that moving beyond the initial single-angle approximation, which assumed uniform emission angles for neutrinos of all flavours from a specific neutrinosphere, revealed these flavour conversions to happen at radii too distant from the core to significantly influence the SN explosion mechanism (for a detailed review, see [33]).
More recently, researchers have recognised an entirely distinct phenomenon known as “fast” flavour conversions, which can manifest in the depths of SNe and neutron star mergers [34,35,36,37,38]. This stems from distinct angular distributions of neutrinos and antineutrinos across different flavours. It can thrive in regions inaccessible to other flavour transformation mechanisms. Even for massless neutrinos, small perturbations can amplify with a rate proportional to n ν , and the rate remains almost independent of neutrino masses and mass hierarchy (see [39,40] for a detailed study of the dependence). It is believed that one of the most likely outcomes of such rapid flavour conversions is flavour depolarization, which can lead to the equipartition of neutrino flavours inside an SN. This can have drastic consequences for the explosion mechanism, as well as nucleosynthesis. From a neutrino transport simulation standpoint, such a flavour equipartition implies that neutrino oscillations will not play an important role in the supernova dynamics, hence this can be a huge gain as this partially obliterates the need to include neutrino oscillations into a transport code, which is computationally very expensive. These developments have led to intense research work to assess the effect of these flavour conversions on the SN explosion mechanism (see [41,42] for a recent review). However, we are still far from having a complete picture of the potential impact of these collective oscillations.
The neutrino flux from an SN can be utilised to facilitate an SN as a unique laboratory for scientific exploration [8,43]. The extreme conditions prevailing within these objects provide a rare opportunity to impose stringent constraints on neutrino properties, which often reach extreme values not achievable in terrestrial laboratories. This is exemplified by the limited number of neutrino events detected from SN1987A, which have enabled the imposition of robust constraints on physics beyond the Standard Model. Remarkably, even hypothetical “feebly” interacting particles can be effectively constrained through luminosity arguments derived from supernova observations.
The few neutrino events observed from SN1987A were sufficient to confirm our basic understanding of the working machinery of a core-collapse SN [44,45]. On average, galactic SNe are expected to occur once every 30–50 years, which implies that we need to be prepared for another one anytime in the next few decades. We are in a period of enormous advancement in supernova neutrino detection experiments. Among the currently running experiments, Super-Kamiokande (Japan), with the addition of Gd [46], can detect the highest number of SN neutrino events. Among the liquid scintillator detectors, KamLAND (Japan) [47] offer the best products for the detection of these neutrinos. The IceCube detector at the South Pole does not have enough sensitivity to detect individual events, but it can observe an SN burst as a correlated rise of background noise [48]. Experiments like the Deep Underground Neutrino Experiment (USA) [49], Hyper-Kamiokande (Japan) [50] and Jiangmen Underground Neutrino Observatory (China) [51] offer immense potential in terms of deducing the unknowns of SN neutrino spectra. With improving technologies, even coherent elastic neutrino–nucleus scattering experiments can play a major role in SN neutrino detection [52]. For a more detailed discussion on the aspects of detection, please refer to [13] and references therein.
In this brief review, we summarise the current status of the field, focusing on neutrino oscillation physics, as well as the different probes of new physics that can be achieved from the observation of supernova neutrinos. We would also like to point interested readers to a list of other comprehensive reviews on various aspects of this topic [13,33,41,42,43,53,54,55,56]. This article is organised as follows. In Section 2, we discuss the basic picture of neutrino emission from an SN, followed by a discussion of the governing equations of motion in Section 3. Then we expand on the aspect of neutrino flavour propagation inside an SN, focussing on recent developments in collective oscillations in Section 4. Finally, we describe the various kinds of new physics scenarios that can be tested from the observation of neutrinos from an SN in Section 5 before concluding in Section 6.

2. Supernova Neutrino: Emission Phases and Spectra

It is anticipated that approximately 10 58 neutrinos are emitted from an SN explosion. This emission occurs over a timescale of approximately 10 s, which corresponds to the typical diffusion timescale of neutrinos within the core. The emission of neutrinos is expected to occur in four distinct phases [8,18,19,57]:
  • During the initial collapse phase, preceding the core bounce, a small amount of electron neutrinos is primarily emitted due to processes like beta decay and electron capture.
  • Following the core bounce, approximately 25 milliseconds later, there is a rapid increase in the flux of electron neutrinos known as the “neutronization burst” phase. During this phase, small amounts of electron antineutrinos and other neutrino flavours are also emitted, although their contribution is negligible compared to the flux of electron neutrinos.
  • Subsequently, the “accretion phase” ensues, lasting for approximately a few hundred milliseconds. As the shockwave stalls, matter accumulates onto the core over several hundred milliseconds. During this phase, the star undergoes cooling by emitting neutrinos and antineutrinos of all flavours. Typically, there is an excess of electron neutrinos compared to other species, with a discernible hierarchy in average energies: E ν μ , τ > E ν ¯ e > E ν e .
  • Finally, the “Kelvin–Helmholtz cooling phase” begins, wherein the proto-neutron star at the core cools down by emitting neutrinos over a period of around ten seconds. In this phase, the hierarchy of average energy among neutrino flavours is observed to be less pronounced.
SN simulations fit the neutrino spectra with a “quasi-thermal” spectra, known in the literature as the “alpha-fit” [58,59]:
f ν α ( E ) = 1 E ν ( α + 1 ) ( α + 1 ) Γ ( α + 1 ) E E ν α e ( α + 1 ) E E ν .
Here, Γ ( z ) is the Euler gamma function, and α is the pinching parameter, which gives the deviation from a thermal spectrum, given by
1 1 + α = E 2 E 2 E 2 .
A value of α = 2 corresponds to a Maxwell–Boltzmann spectrum, while α > 2 signifies a pinched spectrum, characterised by suppressed high and low energy tails. Conversely, α < 2 denotes a broadened spectrum. Commonly used simulations typically yield values of α falling within the range 2 α 5 [58]. It is generally expected that for neutrinos, E ν e ( 10 MeV , 12 MeV), for antineutrinos E ν ¯ e ( 12 MeV , 15 MeV ) , while for the non-electron flavour neutrinos, we have E ν μ , τ ( 15 MeV , 18 MeV ) , although the exact values depend on the simulation. The observed hierarchy in the average energies of different neutrino flavours primarily stems from variations in their interaction cross-sections. For example, due to larger cross-section and charged-current interactions with neutrons, which are more abundant than protons, ν e have a lower average energy than ν ¯ e . On the other hand, since ν μ , τ interacts less than ν e and ν ¯ e , their average energy is expected to be higher, hence the hierarchy. While initial studies ignored the presence of muons and taus in SN simulations and assumed a similar spectra for ν μ , τ , more recent simulations have shown that a substantial amount of muons can be present due to the high electron chemical potential and hence cannot be neglected [60]. It has been shown that the addition of muons considerably softens the equation of state of the core and thus facilitates the contraction of the protoneutron star, leading to larger luminosities and average energies for neutrinos.

3. Neutrino Propagation: Equations of Motion

The straightforward approach of applying the Schrödinger equation to address neutrino mixing encounters limitations when dealing with the dynamics of a statistical ensemble of neutrinos engaged in both mixing and scattering within a medium. A more effective approach necessitates the utilisation of the density matrix formalism, which allows for the comprehensive consideration of these effects. Within this framework, it becomes possible to depict the mixing of quantum states among neutrinos, accounting for potential coherence loss resulting from actual collisions. In this section, we will outline the equations of motion using an effective two-flavour setup, consisting of ν e and ν x , where ν x denotes a linear combination of the ν μ ν τ flavours. The generalisation of three flavours is straightforward.
An ensemble of neutrinos and antineutrinos can be characterised by the 2 × 2 density matrices ϱ p , r , t ( ϱ ¯ p , r , t for antineutrinos) [61,62,63,64,65],
ϱ p , r , t = ϱ e e ϱ e x ϱ x e ϱ x x ,
where the diagonal elements of ϱ p , r , t are proportional to the occupation numbers for the corresponding flavours, while the off-diagonal ones give the phase information. At this point, it is crucial to mention that these entries are essentially expectation values of the bilinears of the neutrino fields. This so-called mean-field approximation neglects any possible entanglement among the neutrinos. We will later discuss the implications of relaxing these assumptions.
The evolution of the density matrices ρ p , r , t for momentum p at position r and time t is governed by the equations of motion (EoMs) [65]
t + v p · r ρ p , r , t = i [ Ω p , r , t , ρ p , r , t ] + C [ ρ p , r , t ] ,
where the left-hand side accounts for time dependence and spatial drift caused by free-streaming neutrinos. The Hamiltonian consists of three terms, i.e., Ω p , r , t = Ω vac + Ω MSW + Ω ν ν . These contributions comprise the vacuum term,
Ω vac = ω 2 1 0 0 1 ,
where ω = Δ m 2 / 2 E ; the Mikheyev–Smirnov–Wolfenstein matter potential term is [20,21]
Ω MSW = 2 G F n e 1 0 0 0 ,
where n e denotes the background electron number density and G F is the Fermi constant; and the ν ν self-interaction potential [24,25],
Ω ν ν = 2 G F d 3 q ( 2 π ) 3 ( 1 v p · v q ) ( ρ q , r , t ρ ¯ q , r , t ) .
The self-interaction is usually described in terms of an overall normalisation μ = 2 G F n ν , where n ν is the net neutrino density. A similar equation exists for antineutrinos with a relative change in sign for Ω vac and Ω ref . In addition to this, neutrinos can also undergo inelastic number-changing/preserving collisions, which are of order G F 2 and only relevant deep inside the SN. These collisional processes are denoted symbolically through C [ ρ p , r , t ] .
The solutions to the EoMs govern the flavour evolution of neutrinos inside an SN. These equations constitute a complex set of non-linear, interrelated partial differential equations that encompass three spatial dimensions, three momentum dimensions, and one temporal dimension. As such, they pose a formidable challenge for analytical solutions. Even numerical solutions are arduous to obtain for the entire problem, necessitating simplifications. In the next section, we will delve into the dynamics of the flavour evolution of neutrinos that can be gauged by solving these equations under simplifying assumptions and for toy setups.

4. Neutrino Flavour Conversions inside a Supernova

In this section, we discuss the various flavour conversion mechanisms relevant to SN neutrinos. We begin with resonant adiabatic MSW flavour conversions, which were initially believed to be the major mechanism of flavour conversions inside an SN. Then, we discuss the collective flavour oscillations that were realised at the beginning of the millennium. Finally, we shed some light on fast flavour conversions—a unique type of flavour conversion mechanism operating deep inside the SN.

4.1. Matter-Induced Resonant Flavour Conversions

Resonant flavour conversions of neutrinos arise from coherent forward scattering interactions with background fermions. These interactions primarily involve one power of the Fermi coupling G F , dominating over inelastic and loop processes, which typically entail larger powers of G F [21]. In ordinary matter, which comprises electrons, protons, and neutrons but not muons or taus generally, forward scattering processes lead to charged current (CC) interactions between electron neutrinos and electrons, as well as neutral current (NC) interactions among all neutrino flavours and neutrons, protons, and electrons. In this section, we operate in the limit where the neutrino–neutrino self-interaction term Ω MSW Ω ν ν , which typically happens at larger radii inside an SN, where we observe a decline in neutrino density.
The coherent effects of these processes on neutrinos can be likened to neutrino propagation within an effective potential [20,21,66]. The effective potential due to CC interactions with electron neutrinos is expressed as,
V CC ( r ) = 2 G F n e ( r ) ,
where n e ( r ) represents the local electron density in the medium. Similarly, for NC interactions involving neutrinos and nucleons, the effective potential is denoted as,
V NC ( r ) = G F n n ( r ) 2 ,
where n n ( r ) denotes the local nucleon density in the medium. It is important to note that since NC interactions are flavour-blind, this potential remains the same for all neutrino flavours and can therefore be eliminated by a phase rotation. For antineutrinos, both these effective potentials acquire a relative minus sign.
This alters the dispersion relation of neutrinos in a medium. Within a simple two-flavour framework, it can be shown that for a constant matter density, the oscillation probability can reach a maximum when [20]
Δ m 2 2 E cos 2 ϑ = V CC ,
where Δ m 2 is the mass-squared difference between the two mass eigenstates in vacuum, E is the neutrino energy, and ϑ is the two-flavour mixing angle. This is the MSW (Mikheyev–Smirnov–Wolfenstein) resonance condition and can lead to a maximal mixing in matter, causing large flavour conditions even when ϑ is small. For a varying matter density, flavour propagation is more complicated and depends on whether the matter density changes adiabatically or in a non-adiabatic manner [22].
Numerous investigations have underscored the sensitivity of neutrino spectra to the underlying density profile of a supernova, with a particular emphasis on the MSW resonances [22,23]. Within an SN, the mass-squared differences relevant to solar ( Δ m 2 ) and atmospheric ( Δ m atm 2 ) neutrinos exhibit distinct resonance behaviours, termed the “L-resonance” and “H-resonance”, respectively. Since Δ m 2 > 0 , the “L-resonance” is known to take place for neutrinos for typical SN matter densities around ρ L ( 10 - 100 ) g / cc . On the other hand, the H-resonance, manifesting at matter densities approximately ρ H ( 10 3 - 10 4 ) g / cc , pertains to atmospheric neutrinos in the normal mass ordering (NMO) and antineutrinos in the inverted mass ordering (IMO), owing to the sign of Δ m atm 2 . Global analyses of neutrino data suggest that both resonances are adiabatic, given the substantial mixing angles [67,68]. Extensive investigations have explored these resonant flavour conversions within supernovae, contributing to our understanding of neutrino properties and supernova dynamics [23,69,70,71,72,73,74,75].
The matter effects also offer insights into the propagation of the SN shockwave at later stages [70,76,77,78,79,80,81,82]. Typically, non-adiabaticity in neutrino propagation can surface when abrupt density changes occur at the shockfront, leaving a distinctive mark on flavour transitions. This phenomenon becomes a means to reconstruct the real-time progression of the shockwave. A characteristic manifestation of non-adiabaticity due to shockwave propagation can be observed in the form of energy-dependent dips in neutrino survival probabilities [80]. A few seconds post the core bounce in a supernova, the potential emergence of a reverse shockwave hinges on whether a supersonic neutrino-driven wind intersects with the ejecta. The sensitivity of this phenomenon to the supersonic or subsonic nature of the neutrino-driven wind has been thoroughly explored recently [83].
Nevertheless, the story does not end here. Supernova progenitors harbour an array of hydrodynamic instabilities that materialise behind the shockfront, generating turbulence within the ejecta. This turbulence, often present in aspherical supernova simulations, introduces stochastic fluctuations in matter density [84]. These fluctuations, in turn, exert a non-trivial influence on neutrino flavour evolution. Extensive research has been conducted to investigate neutrino flavour evolution in turbulent media, especially in the context of predicting neutrino spectra from future galactic supernovae [85,86,87,88,89,90,91,92,93,94,95]. The impact of turbulence on neutrino survival probability has been studied assuming power-law fluctuations in the density profile [88]. As the turbulence amplitude increased, a power-law behaviour was observed in the electron neutrino survival probability. This led to an analytical estimate explaining the power-law phenomenon within the framework of the simple turbulence model [86]. Subsequent works employed various techniques, including the rotating wave approximation [91,92,93], to predict the final survival probability and study the dependence of neutrino flavour transition on turbulence amplitude and spectral index [95].
Finally, the neutrinos are also expected to undergo matter effects as they traverse through the Earth to the detector. These effects, aptly dubbed “Earth-matter” effects, can be quite relevant for SN neutrinos [72,96,97,98,99,100]. It was found that the major outcome of this effect is an oscillatory modulation of the (anti)neutrino spectra. This effect increases with the neutrino energy and can be larger than O ( 20 % ) for E ν 20 MeV . The relevant Earth-matter effects can be gauged by comparing the neutrino spectra at different detectors. However, due to the inherent uncertainty concerning the SN neutrino spectra, this effect is expected to be subdominant and only relevant in large upcoming detectors. In fact, it was shown that the Earth-matter effects can be invoked to explain the discrepancy in the SN1987A neutrino events detected by Kamiokande and IMB, as well as explaining the lack of any neutrino events beyond 40 MeV. [96]. Earth-matter effects of SN neutrinos have also been shown to play an important role in Earth tomography with neutrinos [101].

4.2. Slow Collective Flavour Conversions

In the first decade of the millennium, the impact of the neutrino self-interaction term on flavour propagation started to be investigated. The non-linear nature of the governing equations necessitated the introduction of simplifications. One such simplification was the adoption of the single-angle approximation [28,29,30,31,32], where neutrinos and antineutrinos escape from the neutrinosphere with a single angle. This reduces the evolution to one degree of freedom (namely, the line of sight), and hence, either temporal or spatial evolution was considered.
Under these approximations, a simple system of interacting neutrino beams was shown to undergo collective effects in flavour evolution. For μ ω , the system undergoes “synchronized oscillations”, where neutrinos of different energies oscillate with a common frequency with an amplitude proportional to the suppressed mixing angle (initial phase in Figure 1). However, as μ decreases, large amplitude flavour oscillations are known to happen even with tiny mixing angles. The phenomenon, known as “bipolar oscillations”, involves pair conversions between ν e ν ¯ e ν x ν ¯ x . In this scenario, all neutrino energies oscillate with an averaged uniform frequency, approximately proportional to ω μ , where ω has been defined following Equation (5). For monochromatic neutrino beams, the system can be mathematically likened to a pendulum in flavour space, akin to the equivalence between ordinary neutrino oscillations in vacuum or matter and the precession of a spin [31,32]. Depending on the neutrino mass ordering, the gravitational force acting on this flavour pendulum can be directed either upward or downward, rendering specific flavour configurations unstable, much like an inverted pendulum. Bipolar oscillations involve the pendulum’s initial position being in an unstable, inverted state, slightly offset by a small mixing angle, and swinging through the lowest point to the opposite side. Similarly to how the time period of an inverted pendulum depends logarithmically on the initial tilting angle from the vertical, the period of the flavour pendulum oscillations also exhibits a similar logarithmic dependence on the vacuum mixing angle.
The introduction of multi-angle effects also led to the presence of additional instabilities in flavour evolution [35,102]. Nevertheless, during the accretion phase, the influence of multi-angle matter effects was demonstrated to suppress collective oscillations [103]. However, the introduction of temporal pulsations was also shown to negate this multi-angle matter suppression [104].
While bipolar oscillations are periodic, in a real SN, the neutrino number density decreases adiabatically. This was shown to lead to a spectral split, where in IMO, all ν e and ν x within a certain energy range are swapped, whereas in NMO, the swapping occurs beyond a certain energy [29] (see Figure 2). Such a flavour exchange is called a “swap”, whereas the sharp boundaries at either side of the swaps are called “splits”. A simple analytical understanding of the swaps was offered in terms of the neutrino spectra defined using the variable ω [105,106]. Later works revealed the presence of multiple spectral splits in the cooling phase spectra [107,108], which were explanined analytically in terms of of the development of spectral swaps in the difference spectrum g ω , defined as [109]
g ω f ν e ( ω ) f ν x ( ω ) for ω > 0 , f ν ¯ x ( ω ) f ν ¯ e ( ω ) for ω < 0 .
The development of a spectral swap is related to the presence of “spectral crossings”. A crossing is defined as “positive” (“negative”) if g ω changes sign from negative (positive) to positive (negative). The emergence of spectral swaps around a crossing is intricately linked to the conservation of flavour lepton number during bipolar oscillations [109]. According to the equations of motion (EoMs), the quantity d ω g ω remains conserved, hence attaining a value of zero across the spectral swap. Consequently, spectral swaps can only materialise in proximity to a spectral crossing, which is also a necessary and sufficient condition for the flavour pendulum to be unstable. Additionally, three-flavour effects were shown to induce additional splits, which could largely be understood as a sequence of two-flavour splits [110,111,112,113].
It quickly becomes evident that solving this complicated system of non-linear equations necessitates recourse to numerical simulations. However, gaining an intuitive grasp of the inception of these oscillations can be facilitated by interpreting them as an instability within flavour space and subjecting them to a linearised stability analysis [35,114]. In this case, the density matrix is first expanded in the weak interaction basis as
ϱ p , r ( t ) = f ν e + f ν x 2 + f ν e f ν x 2 s p ( t , r ) S p ( t , r ) S p * ( t , r ) s p ( t , r ) ,
where f ν α represents the occupation number of ν α . The real field s p measures the evolution of the occupation number, whereas S p measures the flavour coherence and hence is an indicator of the oscillation dynamics. Coherence dictates that s 2 + | S | 2 = 1 .
Deep inside an SN, the matter density is high enough to assume that s p | S p | holds initially. As a result, Equation (4) can be expanded to linear order in S p . Using these linearised equations, one looks for plane wave solutions of the form S p ( t , r ) = Q p , k e i ( k 0 t k · r ) , where ( k 0 , k ) denote the temporal and the spatial frequency of the flavour wave, respectively. Using this in Equation (4) leads to a dispersion relation relating k 0 and k , given by [115,116]
det [ Π μ ν ] = 0 ,
where
Π μ ν = η μ ν + 0 + E 2 d E 2 π 2 d v 4 π g E , v v μ v ν v α k α .
Here, v μ = ( 1 , v ) denotes the velocity 4-vector of the neutrinos with v = p / | p | , k μ = ( k 0 , k ) , and g E , v is the angle-dependent difference spectrum, similar to what is defined in Equation (11).
If the dispersion relation is solved with an imaginary wave vector k for some real wave number k 0 , the system exhibits spatial instability. Conversely, if the dispersion relation yields an imaginary temporal wave number k 0 for some real spatial wave vector k , the system displays temporal instability. Although this method identifies whether a system is unstable, it does not provide insight into the extent of flavour conversions that may occur.
Instabilities are classified based on the growth rate of unstable modes, denoted by the imaginary part of the wave vector, Im ( k ) . Instabilities with Im ( k ) proportional to ω μ are categorised as slow instabilities, while those with Im ( k ) proportional to μ are termed fast instabilities. Fast instabilities can further be classified as absolute or convective instabilities [116,117,118]. Fast instabilities can reach Im ( k ) O ( 1 ) cm−1 in regions deep within the supernova core, where μ can be on the order of O ( 10 5 ) km−1. Consequently, fast instabilities are often considered to have probable impacts on the stellar dynamics, provided they are initiated deep inside the SN.

4.3. Fast Collective Flavour Conversions

As discussed, flavour conversions are categorised as “fast” if they happen deep inside the supernova at a distance of O ( cm ) from the neutrinosphere. These rapid flavour conversions are mainly governed by the neutrino self-interaction strength ( μ ) and grow with the neutrino density. Therefore, they can take place even for Δ m 2 0 , requiring it only as numerical seeds, and hence are independent of the neutrino mass ordering. These solutions of the non-linear equations of motion were first discussed by Sawyer in a series of works [34,35,36]. This was later confirmed in [37,38], and this rekindled a wave of efforts in understanding the flavour propagation of neutrinos in dense media.
From the linear stability analysis, one can deduce that the condition required for the onset of the fast instability is that there exists at least one angular direction where the flux of ν ¯ e is greater than that of the ν e (under the assumption that ν μ , τ = ν ¯ μ , τ ). This can also happen in scenarios where there is a backward flux of neutrinos. Hence, this is inherently a multi-angle phenomenon. The key to understanding the conditions for these fast conversions relies on the fact that different neutrino flavours start free-streaming at different radii, and hence near the neutrinosphere, they are expected to have different angular distributions (see Figure 3).
This can be formally defined by integrating Equation (11) to give the angular distribution of the flavour lepton number. Initial works in this direction defined the electron lepton number (ELN) as [115]
G v = 2 G F 0 d E E 2 2 π 2 f ν e ( E , v ) f ν ¯ e ( E , v )
under the assumption that the non-electron flavours have the same angular distribution. In terms of this, it has been demonstrated, numerically as well as analytically, that a necessary and sufficient condition for the presence of fast modes, in an effective two-flavour setup, is the requirement of a zero-crossing in the ELN, i.e., the ELN changes sign for some angular modes [119,120,121].
The assumption of equal angular distributions for the non-electron flavours was relaxed in [122,123], which incorporated a stability analysis to study three flavour effects. This led to the definition of a corresponding muon lepton number ( μ LN ) and tau lepton number ( τ LN ) , demonstrating that fast modes essentially depend on the zero-crossing between any two-flavour lepton number and not just the ELN alone. As a result, a positive zero-crossing in the ELN can be removed by another positive zero crossing in the μ LN or the τ LN . Therefore, fast modes can have very different behaviour in the three-flavour setup as compared to a two-flavour setup. Follow-up works confirmed that this difference persists not only at the linear level but also in the non-linear regime, thereby emphasizing the necessity of a three-flavour study [40,124,125].
The discovery of fast flavour conversions deep inside an SN-like toy setup immediately led to a dilemma—if flavour conversions indeed exist deep inside the SN medium, is it still valid to decouple neutrino inelastic collisions from flavour oscillations? It is a well-known fact that collisions can cause scattering-induced decoherence leading to damping of flavour oscillations. This was first investigated using a simple two-neutrino beam model in a 1+1 dimension [126], and it was shown that although collisions are necessary to create the angular crossings required for fast oscillations, they are not strong enough to dampen the flavour conversions. This was followed by a series of works, where the importance of the interplay of neutrino flavour conversions, inelastic collisions and advection was emphasised [127,128,129,130,131,132,133,134,135,136]. More recently, a new class of instabilities, known as “collisional instabilities”, has been found, where inelastic collisions are found to cause flavour instabilities [133,137,138,139,140,141,142,143]. Inelastic collisions can trigger instabilities if the collisional rate changes with energy. Since neutrinos interact more than antineutrinos, this condition seems to be fulfilled in supernova. On the other hand, collisional instabilities have a much lower rate than fast instabilities (of the order of the collisional rate itself), so unless they are triggered in a region where fast instabilities are not, they would generally play a subdominant role; whether this can happen is an open question. While considerable progress has been made in the study of the impact of inelastic collisions on fast flavour conversions, the final verdict is yet to be delivered.
The other major question eluding SN neutrino enthusiasts is regarding the outcome of fast conversions and its impact on SN neutrino spectra. This requires going beyond a linearised analysis and studying the solutions to the equations of motion in the non-linear region [35]. This problem is hard to solve analytically and requires various simplifications to proceed. An attempt at an analytical solution in the non-linear regime was developed in [39], where it was shown that a system of four intersecting neutrino beams undergoing fast oscillations resembles a particle oscillating in a quartic potential well. Ref. [144] studied the evolution of fast modes in the non-linear regime numerically and deduced that it is not necessary for the final survival probability to approach a complete quasi-steady flavour equilibration. Refs. [145,146] demonstrated through analytical as well as numerical techniques that at late times, a system undergoing fast oscillations reaches a steady state and the most likely outcome is a rapid mixture of all flavours, leading to fast flavour depolarization with the conservation of flavour lepton number (see Figure 4, which depicts the depolarisation factor f v D as a function of v ). This was subsequently confirmed in [147,148,149,150,151]. This has been further investigated recently in Ref. [152], which studied the impact of imposing boundary conditions on the final fate of fast flavour conversions and demonstrated that flavour equipartition can be absent if the underlying boundary condition in a given simulation setup is not periodic. A number of other papers have also explored the non-linear regime of fast flavour conversions of neutrinos to understand the final fate of these flavour conversions [129,130,153,154,155,156,157,158,159,160,161,162,163,164]. Finally, studies have also developed the analogy with that of a flavour pendulum, much like in the bipolar (slow-collective) oscillations case [150,159,165,166,167]. In this case, the final fate of fast flavour conversions was shown to be related to the relaxation of the flavour pendulum. Note that, however, these analogies are strictly valid for purely homogeneous systems. The presence of any inhomogeneity can become exponentially enhanced due to fast instabilities. In such a case, the final outcome is expected to be a depolarized state, with flavour changes on very small scales.
The potential impact of fast flavour conversions on supernova dynamics prompted numerous investigations into the occurrence of rapid instabilities in various SN models. An initial exploration in this direction was undertaken in [168], where a specialised examination of the angular distributions of neutrino radiation fields in several spherically symmetric (1D) SN simulations failed to identify any crossings in the electron lepton number (ELN) near the neutrinosphere. However, the presence of a large-scale dipole asymmetry in the ELN emission, described as Lepton-Emission Self-sustained Asymmetry (LESA) [169], has led to the possibility of the presence of an ELN crossing in multi-dimensional SN simulations. This has motivated numerous studies in the search for the conditions of fast conversions in state-of-the-art, self-consistent multidimensional SN models [170,171,172,173,174,175,176,177,178,179,180]. Most of the works rely on the fact that SN simulations generally do not provide the full angular distributions of neutrino flavours but provide the moments of the angular distributions. Hence, the studies focus on optimizing the use of these angular moments to look for conditions conducive to the presence of fast conversions.
Flavour conversions of neutrinos deep inside an SN represent a significant area of uncertainty in a comprehensive, first-principle modelling of the SN dynamics. Our studies over the past decades have unearthed different types of flavour conversion mechanisms operating at different distances from the core, as depicted in Figure 5. Significant progress is being made on the impact of flavour conversions on the explosion dynamics—depending on the extent of flavour conversions, the explosion could be either hindered or assisted [178,181,182], as well as the nucleosynthesis of heavy elements [183,184,185,186,187]. However, we are still far from a complete picture, and the final verdict on the outcome is yet to be out.

4.4. A Comment on Mean-Field Approximation vs. Many-Body Effects

Discussions on the dynamics of collective oscillations have primarily relied on a mean-field approximation, neglecting all quantum correlations among neutrinos. Despite the wide use of this approach, its validity has been a matter of debate in recent years [189,190,191,192,193,194,195]. Hence, it is crucial to assess the applicability of this approximation across various scenarios to ensure the accurate interpretation of results and to delve into the concept of entanglement among the neutrinos within the many-body system. Over the last few years, there has been growing effort in this direction, with the aim of understanding the efficacy of a mean-field treatment of neutrinos in such a dense environment [196,197,198,199,200,201]. We will not go into the details of this discussion, but refer the interested readers to [202] (and references therein) for a more detailed review.

5. New Physics from Supernova Neutrinos

A galactic core-collapse SN can act as the ultimate particle physics laboratory to probe physics beyond the Standard Model [8,203]. The extreme environment allows for probing a wide range of new physics, which cannot otherwise be accessible in terrestrial laboratories. From a phenomenological point of view, new physics inside a supernova can have either of the following effects:
  • It can affect the net luminosity and average energy of the emitted neutrinos and hence the duration of the neutrino emission phase.
  • It can affect the shape/normalisation of the emitted neutrino spectra.
Using a combination of one or both of these effects, strong constraints can be imposed on new physics from a galactic supernova.
The most well-known of the bounds coming from SN1987A is the anomalous cooling bound [8,204,205,206,207]. Neutrinos from SN1987A can be used to constrain the amount of energy that can be transported by any new degree of freedom, weakly coupled to the SM. Such particles, if produced inside a supernova, can lead to new modes of energy loss and hence additional cooling channels. Based on this, a criterion for the maximum luminosity of the new particle was proposed. If the luminosity of the new particle, L 3 × 10 52 erg s 1 for ρ = 3 × 10 14 g / cc and T = 30 MeV , then the duration of the neutrino burst is reduced from the observed 10 s of SN1987A. This argument leads to a bound on the coupling of the new particles. However, the bound cannot be applied for arbitrarily large couplings. For couplings stronger than a certain value, the new particles become trapped and cannot escape the SN core, leading to an exclusion window in the coupling-mass parameter space. On the other hand, for couplings which are too weak, the particles may not be efficiently produced to alter the dynamics of an SN.
This argument has been used to constrain new weakly coupled particles like the axion [205,208,209,210,211,212,213,214], dark gauge bosons charged under new symmetries [215,216,217,218,219], majorons and other light scalars coupled to neutrinos [220,221,222,223,224], and so on. More recently, the cooling argument was refined to include physical effects, which were ignored previously and a detailed prescription was laid down for limits from more updated models of SNe [225,226]. However, note that in cases where there exist significant self-interactions in the dark sectors, these cooling arguments may not apply [227]. Modern SN codes nowadays can perform a complete six-flavour neutrino (antineutrino) transport, which has demonstrated the relevance of muons in simulations [60]. This has led to additional constraints on muon-philic new degrees of freedom [225,228,229]. The dynamics of a core-collapse can also be altered by the decay of bosonic particles into neutrinos [230], or photons [231] deep inside the SN progenitor.
Similar cooling arguments have also been put forth to constrain the mass and mixing of additional species of sterile neutrinos ( ν s ) . It is well-known that sterile neutrinos with masses O ( 100 MeV ) can be produced from different processes inside the SN core [232,233,234]. These sterile neutrinos, if produced, can stream out of the SN, thereby leading to additional cooling, and hence can be constrained. Lower-mass (keV) sterile neutrinos are excellent dark matter candidates. The ν s can be easily produced inside an SN through adiabatic flavour conversion at MSW resonances or through a scattering-induced decoherence [235,236,237,238,239,240]. The usual cooling arguments apply here as well. However, since the ν s is produced from an active neutrino, this in turn affects the forward scattering potential that the propagating neutrinos experience. This leads to feedback, which when taken into account consistently can loosen the bounds of the sterile mass-mixing parameter space [238,240]. However, secret interactions of neutrinos can spoil the party and enhance the production of ν s , which can potentially overcome this feedback effect [239]. Lighter mass ν s (eV scale) can be produced from active neutrinos directly via resonant MSW transitions at densities that can affect the heating of low mass SNe and affect their explosion [241,242,243]. For larger mass SNe, the production happens at densities that can affect the active neutrino flux and hence have important consequences for nucleosynthesis [241].
Interactions of neutrinos beyond the SM can also be probed effectively inside an SN. Non-standard interactions (NSI) of neutrinos with matter can lead to additional MSW resonances inside the SN (like the I-resonance [244,245]), thereby altering the neutrino flavour evolution. These interactions can change the neutron–proton ratio, leading to intriguing consequences for nucleosynthesis yields. Similarly, a core-collapse SN is one of the few laboratories where non-standard neutrino self-interactions (NSSI) can be tested [246,247,248]. In fact, a smoking-gun signature of the presence of flavour-violating NSSI will be the presence of spectral splits in the neutronisation burst spectra due to collective oscillations, which do not take place within the SM in this time phase [247]. Furthermore, the presence of neutrinophilic bosons can lead to 2 ν 4 ν processes inside the SN, which reduces the net energy deposited behind the shock, thereby hindering explosion [249]; however, the inclusion of the inverse reaction can counter this effect [250]. Secret interactions of neutrinos have also been argued to extend the duration of the SN neutrino burst [251], but these claims were recently countered in [250]. Secret interactions of neutrinos can also be constrained from their interactions with the cosmic neutrino background, which leads to a dissipation of the neutrino energy below the expected value [249]. Neutrinos from an SN can also be used to probe neutrino–dark matter interactions through their interaction with the DM in the galactic halo [252,253,254,255].
The other direction in which SN neutrinos can contribute immensely is constraining neutrino parameters. The large neutrino flux, combined with the propagation through extreme conditions, allows one to put stringent constraints on neutrino properties. For example, using SN1987A data, time-of-flight constraints were used to set neutrino mass bounds to m ν < 20 eV [256]. Future experiments like DUNE can use the neutronization burst phase to narrow it down to O ( 1 ) eV [257]. Of course, this requires a good estimation of the distance of the next galactic SN, which can be achieved via triangulation [258,259].
The neutronization burst is an excellent tool to probe the neutrino mass-ordering, which is one of the major unknowns in neutrino physics. Deep inside the supernova, neutrinos are generated within regions of exceedingly high local matter densities. Conventional matter effects dictate that the ν e from the burst phase align closely with the instantaneous Hamiltonian eigenstate associated with the highest instantaneous Hamiltonian eigenvalue upon production. Subsequent evolution treats the distinct eigenstates as incoherent, with the adiabatic approximation proving effective owing to the spatial variation in matter density and known neutrino mass-squared differences. Consequently, the neutronization-burst neutrino flux at Earth, when disregarding the minor initial ν x population, can be well approximated by [23]:
f ν e ( E , t ) = 1 4 π R 2 | U eh | 2 Φ ν e ( E , t )
where h denotes the heaviest neutrino mass eigenstate, with h = 3 for the NMO and h = 2 for the IMO, U eh represents the relevant element of the leptonic mixing matrix, while R signifies the distance between Earth and the supernova. Given the negligible production of other flavours during this phase, the ν e flux for the NMO experiences a relative suppression factor of approximately | U e 3 | 2 / | U e 2 | 2 0.1 . This facilitates the determination of the neutrino mass ordering during the neutronization-burst phase [23]. The mass-ordering can also be deduced from timing information in upcoming detectors [260,261].
Finite neutrino masses imply that neutrinos can decay. Neutrinos from an SN can be used to put tight constraints on invisible, visible, and radiative decays of neutrinos [203]. While data from SN1987A constrain the invisible decays to τ / m > 10 5 s / eV [262,263], future galactic SN can narrow it down to τ / m 10 6 s / eV for an SN happening at 10 kpc [264]. Radiative decays of neutrinos can lead to a coincidental γ flare—this has been used to constrain radiative decays to τ / m 10 15 s / eV [203].
The strong magnetic field existing inside an SN can also be used to probe neutrino electromagnetic properties. For Dirac neutrinos, a non-zero intrinsic magnetic moment can give rise to a spin flip for a certain flavour α , i.e., ν α L ν α R , while a transition magnetic moment also flips the flavour, i.e., ν α L ν β R [265]. This conversion process, ν L ν R , leads to faster cooling of the SN and can be used to constrain the magnetic moment μ ν 10 11 μ B [266]. Furthermore, in the presence of a magnetic field, coherent scattering of neutrinos off the background can resonantly enhance these spin-flavour transitions, known as resonant spin-flavour precession (RSFP) [267,268]. Such RSFP can lead to intriguing signatures in the neutronisation spectra [269,270] and can be used to constrain non-zero transverse magnetic moments much better than current laboratory constraints [271]. Neutrino magnetic moments have also been shown to be relevant for collective oscillations [272,273]. One can also constrain the effective neutrino electric charge ( q ν ) from the observation of neutrinos from SN1987A. The presence of galactic and extragalactic magnetic fields may elongate the trajectory of millicharged neutrinos, thereby delaying their arrival time at the Earth beyond the observed period of a few seconds. This constrains q ν e < 2 × 10 15 e for an intergalactic field B = 10 3 μG and a distance of R = 50 kpc , and q ν e < 2 × 10 17 e for a galactic field B = 1 μG and an SN at a distance of R = 10 kpc [274].
The nature of neutrinos is another mystery that has not been solved yet. Depending on whether the lepton number is conserved or not, neutrinos can be Dirac or Majorana. Supernova neutrinos can also be used to pin down the nature of neutrinos in the presence of new physics. For example, studies have shown that for a future galactic SN, using a combination of upcoming experiments like DUNE and HK, one can distinguish between a decaying Dirac and a decaying Majorana neutrino from the neutronization burst flux [264]. Similarly, in the presence of non-zero magnetic moments, Dirac and Majorana can have different signatures in the neutrino flux [271]. However, there also exists the possibility of soft lepton number violation (LNV). The degree of LNV can be gauged by the relative smallness of the Majorana mass term compared to the Dirac mass term for neutrinos. In such a scenario, neutrinos exhibit pseudo-Dirac (or quasi-Dirac) behaviour [275]. The soft nature of LNV ensures that although neutrinos are Majorana, they effectively behave akin to Dirac neutrinos in practical terms. In this scenario, active-sterile neutrino oscillations are driven by a minute mass-squared difference, denoted as δ m 2 , between the mass eigenstates. However, this mass-squared difference is only accessible over astronomically large baselines. Strong constraints can be set on this mass-squared difference from the neutrino events from SN1987A δ m 2 10 20 eV 2 [276,277].
This is just an incomplete list of the different kinds of particle physics constraints one can probe from the observation of supernova neutrinos. Studies have shown that the few neutrino events from SN1987A can also be used to probe the deviations of the equivalence principle [278], the gravitational memory effect [279], the effect of neutrino long-range forces [280,281], consequences of deviations from Lorentz symmetry in the neutrino sector [282], the QCD phase transition [283], and several other exotic ideas that are otherwise difficult to test. This is a testament to the immense potential offered by a future galactic SN to test physics beyond the SM. In conclusion, we would also like to point to the potential of the diffuse supernova neutrino background—a sea of neutrinos from all possible core-collapse supernovae (and failed supernovae) in the Universe—to probe fundamental physics (see [284,285,286] and references therein for a detailed discussion of this aspect).

6. Conclusions

The study of neutrinos from supernovae represents a captivating and multifaceted field of research requiring significant contributions from particle physics and astrophysics. Through decades of theoretical modelling and computational efforts, our understanding of the intricate processes governing neutrino emission, propagation, and interaction within the surroundings has advanced significantly. We have strong reasons to believe that neutrinos play a crucial role in the supernova explosion mechanism, as well as in the formation of heavy elements inside stars. Furthermore, these neutrinos offer the best bet to probe the physics of dense matter existing inside a supernova, which cannot be achieved inside a terrestrial laboratory. As a result, a careful study of these neutrinos is necessary to utilise the full potential of the next galactic supernova.
In this brief review, we discussed the major advancements made in the field and where we stand. While we have made remarkable progress in the understanding of neutrino flavour oscillations in dense environments, we still do not know the exact impact of these effects. The numerical complexity associated with the complete problem necessitates the introduction of simplifications, which can sometimes hide additional flavour instabilities. Previously, the relaxation of such symmetries has led to the discovery of new instabilities associated with neutrino non-radial evolution inside a supernova. A recent example is that of fast pairwise flavour conversions, which was missed due to the assumption of equal angular distributions for neutrinos and antineutrinos. These rapid flavour conversions, occurring deep inside a supernova, are almost independent of the neutrino mass and mixing and hence unsuppressed due to matter effects. Recent studies indicate that these fast oscillations eventually lead to an almost flavour equilibration deep inside the supernova; however, further studies are required to confirm this idea. As a result, there has been a surge in research efforts aimed at evaluating the impact of these flavour conversions on the mechanism of supernova explosions.
We also highlighted how the neutrino flux from a supernova allows for imposing stringent constraints on neutrino properties, which are typically unattainable in terrestrial laboratories. This advocates for a core-collapse supernova as the ultimate laboratory for particle physics. Therefore, the study of supernova neutrinos remains a vibrant and fruitful avenue of exploration, offering invaluable insights into the fundamental nature of matter and the dynamics of stellar evolution.

Funding

This research received no external funding.

Data Availability Statement

Data sharing is not applicable.

Acknowledgments

We would like to thank Basudeb Dasgupta, Georg Raffelt and Irene Tamborra for a careful reading of the manuscript and insightful comments. We also acknowledge the hospitality of the Network for Neutrinos, Nuclear Astrophysics, and Symmetries (N3AS) Physics Frontier Center of UC Berkeley where part of this review was completed.

Conflicts of Interest

The author declares no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
SNsupernova
MSWMikheyev–Smirnov–Wolfenstein
CCcharged current
NCneutral current
ELNelectron lepton number
μLNmuon lepton number
τLNtau lepton number
SMStandard Model
NSInon-standard interactions
NSSInon-standard self-interactions
LNVlepton-number violation

References

  1. Hirata, K.; Kajita, T.; Koshiba, M.; Nakahata, M.; Oyama, Y.; Sato, N.; Suzuki, A.; Takita, M.; Totsuka, Y.; Kifune, T.; et al. Observation of a Neutrino Burst from the Supernova SN 1987a. Phys. Rev. Lett. 1987, 58, 1490–1493. [Google Scholar] [CrossRef] [PubMed]
  2. Hirata, K.S.; Kajita, T.; Koshiba, M.; Nakahata, M.; Oyama, Y.; Sato, N.; Suzuki, A.; Takita, M.; Totsuka, Y.; Kifune, T.; et al. Observation in the Kamiokande-II Detector of the Neutrino Burst from Supernova SN 1987a. Phys. Rev. D 1988, 38, 448–458. [Google Scholar] [CrossRef] [PubMed]
  3. Bionta, R.M.; Blewitt, G.; Bratton, C.B.; Casper, D.; Ciocio, A.; Claus, R.; Cortez, B.; Crouch, M.; Dye, S.T.; Errede, S.; et al. Observation of a Neutrino Burst in Coincidence with Supernova SN 1987a in the Large Magellanic Cloud. Phys. Rev. Lett. 1987, 58, 1494. [Google Scholar] [CrossRef] [PubMed]
  4. Bratton, C.B.; Casper, D.; Ciocio, A.; Claus, R.; Crouch, M.; Dye, S.T.; Errede, S.; Gajewski, W.; Goldhaber, M.; Haines, T.J.; et al. Angular Distribution of Events From Sn1987a. Phys. Rev. D 1988, 37, 3361. [Google Scholar] [CrossRef] [PubMed]
  5. Alekseev, E.N.; Alekseeva, L.N.; Krivosheina, I.V.; Volchenko, V.I. Detection of the Neutrino Signal From SN1987A in the LMC Using the Inr Baksan Underground Scintillation Telescope. Phys. Lett. B 1988, 205, 209–214. [Google Scholar] [CrossRef]
  6. Bethe, H.A. Supernova mechanisms. Rev. Mod. Phys. 1990, 62, 801–866. [Google Scholar] [CrossRef]
  7. Mezzacappa, A. Ascertaining the core collapse supernova mechanism: The State of the Art and the Road Ahead. Ann. Rev. Nucl. Part. Sci. 2005, 55, 467–515. [Google Scholar] [CrossRef]
  8. Raffelt, G.G. Stars as Laboratories for Fundamental Physics; The University of Chicago Press: Chicago, IL, USA, 1996. [Google Scholar]
  9. Kotake, K.; Sato, K.; Takahashi, K. Explosion mechanism, neutrino burst, and gravitational wave in core-collapse supernovae. Rep. Prog. Phys. 2006, 69, 971–1144. [Google Scholar] [CrossRef]
  10. Woosley, S.; Janka, T. The physics of core-collapse supernovae. Nat. Phys. 2005, 1, 147. [Google Scholar] [CrossRef]
  11. Janka, H.T.; Langanke, K.; Marek, A.; Martinez-Pinedo, G.; Mueller, B. Theory of Core-Collapse Supernovae. Phys. Rep. 2007, 442, 38–74. [Google Scholar] [CrossRef]
  12. Janka, H.T. Explosion Mechanisms of Core-Collapse Supernovae. Ann. Rev. Nucl. Part. Sci. 2012, 62, 407–451. [Google Scholar] [CrossRef]
  13. Mirizzi, A.; Tamborra, I.; Janka, H.T.; Saviano, N.; Scholberg, K.; Bollig, R.; Hudepohl, L.; Chakraborty, S. Supernova Neutrinos: Production, Oscillations and Detection. Riv. Nuovo Cim. 2016, 39, 1–112. [Google Scholar] [CrossRef]
  14. Burrows, A.; Vartanyan, D. Core-Collapse Supernova Explosion Theory. Nature 2021, 589, 29–39. [Google Scholar] [CrossRef] [PubMed]
  15. Baade, W.; Zwicky, F. On Super-novae. Proc. Natl. Acad. Sci. USA 1934, 20, 254–259. [Google Scholar] [CrossRef] [PubMed]
  16. Brown, G.E.; Bethe, H.A.; Baym, G. Supernova theory. Nucl. Phys. 1982, A375, 481–532. [Google Scholar] [CrossRef]
  17. Burrows, A. Neutrinos From Supernova Explosions. Ann. Rev. Nucl. Part. Sci. 1990, 40, 181–212. [Google Scholar] [CrossRef]
  18. Colgate, S.A.; White, R.H. The Hydrodynamic Behavior of Supernovae Explosions. Astrophys. J. 1966, 143, 626. [Google Scholar] [CrossRef]
  19. Bethe, H.A.; Wilson, J.R. Revival of a stalled supernova shock by neutrino heating. Astrophys. J. 1985, 295, 14–23. [Google Scholar] [CrossRef]
  20. Mikheev, S.P.; Smirnov, A.Y. Resonance Amplification of Oscillations in Matter and Spectroscopy of Solar Neutrinos. Sov. J. Nucl. Phys. 1985, 42, 913–917. [Google Scholar]
  21. Wolfenstein, L. Neutrino Oscillations in Matter. Phys. Rev. 1978, D17, 2369–2374. [Google Scholar] [CrossRef]
  22. Kuo, T.K.; Pantaleone, J.T. Nonadiabatic Neutrino Oscillations in Matter. Phys. Rev. 1989, D39, 1930. [Google Scholar] [CrossRef] [PubMed]
  23. Dighe, A.S.; Smirnov, A.Y. Identifying the neutrino mass spectrum from the neutrino burst from a supernova. Phys. Rev. 2000, D62, 033007. [Google Scholar] [CrossRef]
  24. Pantaleone, J.T. Neutrino oscillations at high densities. Phys. Lett. 1992, B287, 128–132. [Google Scholar] [CrossRef]
  25. Pantaleone, J.T. Neutrino flavor evolution near a supernova’s core. Phys. Lett. 1995, B342, 250–256. [Google Scholar] [CrossRef]
  26. Kostelecky, V.A.; Samuel, S. Selfmaintained coherent oscillations in dense neutrino gases. Phys. Rev. 1995, D52, 621–627. [Google Scholar] [CrossRef] [PubMed]
  27. Samuel, S. Bimodal coherence in dense selfinteracting neutrino gases. Phys. Rev. 1996, D53, 5382–5393. [Google Scholar] [CrossRef] [PubMed]
  28. Duan, H.; Fuller, G.M.; Qian, Y.Z. Collective neutrino flavor transformation in supernovae. Phys. Rev. 2006, D74, 123004. [Google Scholar] [CrossRef]
  29. Duan, H.; Fuller, G.M.; Carlson, J.; Qian, Y.Z. Simulation of Coherent Non-Linear Neutrino Flavor Transformation in the Supernova Environment. 1. Correlated Neutrino Trajectories. Phys. Rev. 2006, D74, 105014. [Google Scholar] [CrossRef]
  30. Duan, H.; Fuller, G.M.; Carlson, J.; Qian, Y.Z. Coherent Development of Neutrino Flavor in the Supernova Environment. Phys. Rev. Lett. 2006, 97, 241101. [Google Scholar] [CrossRef]
  31. Hannestad, S.; Raffelt, G.G.; Sigl, G.; Wong, Y.Y.Y. Self-induced conversion in dense neutrino gases: Pendulum in flavour space. Phys. Rev. 2006, D74, 105010, Erratum in Phys. Rev. D 2007, 76, 029901. [Google Scholar] [CrossRef]
  32. Duan, H.; Fuller, G.M.; Carlson, J.; Qian, Y.Z. Analysis of Collective Neutrino Flavor Transformation in Supernovae. Phys. Rev. 2007, D75, 125005. [Google Scholar] [CrossRef]
  33. Duan, H.; Fuller, G.M.; Qian, Y.Z. Collective Neutrino Oscillations. Ann. Rev. Nucl. Part. Sci. 2010, 60, 569–594. [Google Scholar] [CrossRef]
  34. Sawyer, R.F. Speed-up of neutrino transformations in a supernova environment. Phys. Rev. 2005, D72, 045003. [Google Scholar] [CrossRef]
  35. Sawyer, R.F. The multi-angle instability in dense neutrino systems. Phys. Rev. D 2009, 79, 105003. [Google Scholar] [CrossRef]
  36. Sawyer, R.F. Neutrino cloud instabilities just above the neutrino sphere of a supernova. Phys. Rev. Lett. 2016, 116, 081101. [Google Scholar] [CrossRef] [PubMed]
  37. Chakraborty, S.; Hansen, R.S.; Izaguirre, I.; Raffelt, G. Self-induced neutrino flavor conversion without flavor mixing. JCAP 2016, 1603, 042. [Google Scholar] [CrossRef]
  38. Dasgupta, B.; Mirizzi, A.; Sen, M. Fast neutrino flavor conversions near the supernova core with realistic flavor-dependent angular distributions. JCAP 2017, 1702, 019. [Google Scholar] [CrossRef]
  39. Dasgupta, B.; Sen, M. Fast Neutrino Flavor Conversion as Oscillations in a Quartic Potential. Phys. Rev. 2018, D97, 023017. [Google Scholar] [CrossRef]
  40. Shalgar, S.; Tamborra, I. Dispelling a myth on dense neutrino media: Fast pairwise conversions depend on energy. JCAP 2021, 01, 014. [Google Scholar] [CrossRef]
  41. Tamborra, I.; Shalgar, S. New Developments in Flavor Evolution of a Dense Neutrino Gas. Ann. Rev. Nucl. Part. Sci. 2021, 71, 165–188. [Google Scholar] [CrossRef]
  42. Richers, S.; Sen, M. Fast Flavor Transformations. In Handbook of Nuclear Physics; Tanihata, I., Toki, H., Kajino, T., Eds.; Springer: Singapore, 2022; pp. 1–17. [Google Scholar] [CrossRef]
  43. Horiuchi, S.; Kneller, J.P. What can be learned from a future supernova neutrino detection? J. Phys. 2018, G45, 043002. [Google Scholar] [CrossRef]
  44. Fiorillo, D.F.G.; Heinlein, M.; Janka, H.T.; Raffelt, G.; Vitagliano, E.; Bollig, R. Supernova simulations confront SN 1987A neutrinos. Phys. Rev. D 2023, 108, 083040. [Google Scholar] [CrossRef]
  45. Li, S.W.; Beacom, J.F.; Roberts, L.F.; Capozzi, F. Old Data, New Forensics: The First Second of SN 1987A Neutrino Emission. Phys. Rev. D 2024, 109, 083025. [Google Scholar] [CrossRef]
  46. Abe, K.; Bronner, C.; Hayato, Y.; Hiraide, K.; Ikeda, M.; Imaizumi, S.; Kameda, J.; Kanemura, Y.; Kataoka, Y.; Miki, S.; et al. First gadolinium loading to Super-Kamiokande. Nucl. Instrum. Meth. A 2022, 1027, 166248. [Google Scholar] [CrossRef]
  47. Abe, S.; Asami, S.; Eizuka, M.; Futagi, S.; Gando, A.; Gando, Y.; Gima, T.; Goto, A.; Hachiya, T.; Hata, K.; et al. Search for supernova neutrinos and constraint on the galactic star formation rate with the KamLAND data. Astrophys. J. 2022, 934, 85. [Google Scholar] [CrossRef]
  48. Köpke, L.; IceCube Collaboration. Supernova Neutrino Detection with IceCube. J. Phys. Conf. Ser. 2011, 309, 012029. [Google Scholar] [CrossRef]
  49. Abi, B.; Acciarri, R.; Acero, M.A.; Adamov, G.; Adams, D.; Adinolfi, M.; Ahmad, Z.; Ahmed, J.; Alion, T.; Monsalve, S.A.; et al. Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics. arXiv 2020, arXiv:2002.03005. [Google Scholar]
  50. Abe, K.; Abe, K.; Aihara, H.; Aimi, A.; Akutsu, R.; Andreopoulos, C.; Anghel, I.; Anthony, L.H.; Antonova, M.; Ashida, Y.; et al. Hyper-Kamiokande Design Report. arXiv 2018, arXiv:1805.04163. [Google Scholar]
  51. An, F.; An, G.; An, Q.; Antonelli, V.; Baussan, E.; Beacom, J.; Bezrukov, L.; Blyth, S.; Brugnera, R.; Avanzini, M.B.; et al. Neutrino Physics with JUNO. J. Phys. G 2016, 43, 030401. [Google Scholar] [CrossRef]
  52. Pattavina, L.; Ferreiro Iachellini, N.; Tamborra, I. Neutrino observatory based on archaeological lead. Phys. Rev. D 2020, 102, 063001. [Google Scholar] [CrossRef]
  53. Chakraborty, S.; Hansen, R.S.; Izaguirre, I.; Raffelt, G. Self-induced flavor conversion of supernova neutrinos on small scales. JCAP 2016, 1601, 028. [Google Scholar] [CrossRef]
  54. Fuller, G.M.; Haxton, W.C.; Grohs, E.B. Chapter 8: Neutrinos in Stellar Astrophysics. In The Encyclopedia of Cosmology; World Scientific: Singapore, 2023; pp. 367–431. [Google Scholar] [CrossRef]
  55. Volpe, M.C. Neutrinos from dense environments: Flavor mechanisms, theoretical approaches, observations, and new directions. arXiv 2023, arXiv:2301.11814. [Google Scholar]
  56. Capozzi, F.; Saviano, N. Neutrino Flavor Conversions in High-Density Astrophysical and Cosmological Environments. Universe 2022, 8, 94. [Google Scholar] [CrossRef]
  57. Burrows, A. On detecting stellar collapse with neutrinos. ApJ 1984, 283, 848–852. [Google Scholar] [CrossRef]
  58. Keil, M.T.; Raffelt, G.G.; Janka, H.T. Monte Carlo study of supernova neutrino spectra formation. Astrophys. J. 2003, 590, 971–991. [Google Scholar] [CrossRef]
  59. Tamborra, I.; Muller, B.; Hudepohl, L.; Janka, H.T.; Raffelt, G. High-resolution supernova neutrino spectra represented by a simple fit. Phys. Rev. D 2012, 86, 125031. [Google Scholar] [CrossRef]
  60. Bollig, R.; Janka, H.T.; Lohs, A.; Martinez-Pinedo, G.; Horowitz, C.J.; Melson, T. Muon Creation in Supernova Matter Facilitates Neutrino-driven Explosions. Phys. Rev. Lett. 2017, 119, 242702. [Google Scholar] [CrossRef]
  61. Raffelt, G.; Sigl, G.; Stodolsky, L. Quantum statistics in particle mixing phenomena. Phys. Rev. D 1992, 45, 1782–1788. [Google Scholar] [CrossRef]
  62. Raffelt, G.; Sigl, G.; Stodolsky, L. NonAbelian Boltzmann equation for mixing and decoherence. Phys. Rev. Lett. 1993, 70, 2363–2366, Erratum in Phys. Rev. Lett. 2007, 98, 069902. [Google Scholar] [CrossRef]
  63. Dolgov, A.D. Neutrinos in the Early Universe. Sov. J. Nucl. Phys. 1981, 33, 700–706. [Google Scholar]
  64. Barbieri, R.; Dolgov, A. Neutrino oscillations in the early universe. Nucl. Phys. B 1991, 349, 743–753. [Google Scholar] [CrossRef]
  65. Sigl, G.; Raffelt, G. General kinetic description of relativistic mixed neutrinos. Nucl. Phys. B 1993, 406, 423–451. [Google Scholar] [CrossRef]
  66. Kuo, T.K.; Pantaleone, J.T. Neutrino Oscillations in Matter. Rev. Mod. Phys. 1989, 61, 937. [Google Scholar] [CrossRef]
  67. Available online: http://www.nu-fit.org/?q=node/8 (accessed on 1 April 2024).
  68. Esteban, I.; Gonzalez-Garcia, M.C.; Maltoni, M.; Martinez-Soler, I.; Schwetz, T. Updated fit to three neutrino mixing: Exploring the accelerator-reactor complementarity. JHEP 2017, 01, 087. [Google Scholar] [CrossRef]
  69. Fuller, G.M.; Mayle, R.W.; Wilson, J.R.; Schramm, D.N. Resonant neutrino oscillations and stellar collapse. APJ 1987, 322, 795–803. [Google Scholar] [CrossRef]
  70. Lunardini, C.; Smirnov, A.Y. Probing the neutrino mass hierarchy and the 13 mixing with supernovae. JCAP 2003, 0306, 009. [Google Scholar] [CrossRef]
  71. Dighe, A.S.; Keil, M.T.; Raffelt, G.G. Detecting the neutrino mass hierarchy with a supernova at IceCube. JCAP 2003, 0306, 005. [Google Scholar] [CrossRef]
  72. Dighe, A.S.; Keil, M.T.; Raffelt, G.G. Identifying earth matter effects on supernova neutrinos at a single detector. JCAP 2003, 0306, 006. [Google Scholar] [CrossRef]
  73. Dighe, A.S.; Kachelriess, M.; Raffelt, G.G.; Tomas, R. Signatures of supernova neutrino oscillations in the earth mantle and core. JCAP 2004, 0401, 004. [Google Scholar] [CrossRef]
  74. Barger, V.; Huber, P.; Marfatia, D. Supernova neutrinos can tell us the neutrino mass hierarchy independently of flux models. Phys. Lett. 2005, B617, 167–173. [Google Scholar] [CrossRef]
  75. Fogli, G.L.; Lisi, E.; Mirizzi, A.; Montanino, D. Revisiting nonstandard interaction effects on supernova neutrino flavor oscillations. Phys. Rev. 2002, D66, 013009. [Google Scholar] [CrossRef]
  76. Schirato, R.C.; Fuller, G.M. Connection between supernova shocks, flavor transformation, and the neutrino signal. arXiv 2002, arXiv:astro-ph/0205390. [Google Scholar]
  77. Takahashi, K.; Sato, K.; Dalhed, H.E.; Wilson, J.R. Shock propagation and neutrino oscillation in supernova. Astropart. Phys. 2003, 20, 189–193. [Google Scholar] [CrossRef]
  78. Fogli, G.L.; Lisi, E.; Montanino, D.; Mirizzi, A. Analysis of energy and time dependence of supernova shock effects on neutrino crossing probabilities. Phys. Rev. 2003, D68, 033005. [Google Scholar] [CrossRef]
  79. Fogli, G.L.; Lisi, E.; Mirizzi, A.; Montanino, D. Probing supernova shock waves and neutrino flavor transitions in next-generation water-Cerenkov detectors. JCAP 2005, 0504, 002. [Google Scholar] [CrossRef]
  80. Tomas, R.; Kachelriess, M.; Raffelt, G.; Dighe, A.; Janka, H.T.; Scheck, L. Neutrino signatures of supernova shock and reverse shock propagation. JCAP 2004, 0409, 015. [Google Scholar] [CrossRef]
  81. Dasgupta, B.; Dighe, A. Phase effects in neutrino conversions during a supernova shock wave. Phys. Rev. 2007, D75, 093002. [Google Scholar] [CrossRef]
  82. Galais, S.; Kneller, J.; Volpe, C.; Gava, J. Shockwaves in Supernovae: New Implications on the Diffuse Supernova Neutrino Background. Phys. Rev. 2010, D81, 053002. [Google Scholar] [CrossRef]
  83. Friedland, A.; Mukhopadhyay, P. Near-critical supernova outflows and their neutrino signatures. Phys. Lett. B 2022, 834, 137403. [Google Scholar] [CrossRef]
  84. Radice, D.; Abdikamalov, E.; Ott, C.D.; Mösta, P.; Couch, S.M.; Roberts, L.F. Turbulence in Core-Collapse Supernovae. J. Phys. G 2018, 45, 053003. [Google Scholar] [CrossRef]
  85. Fogli, G.L.; Lisi, E.; Mirizzi, A.; Montanino, D. Damping of supernova neutrino transitions in stochastic shock-wave density profiles. JCAP 2006, 06, 012. [Google Scholar] [CrossRef]
  86. Friedland, A.; Gruzinov, A. Neutrino signatures of supernova turbulence. arXiv 2006, arXiv:astro-ph/0607244. [Google Scholar]
  87. Kneller, J.P.; Volpe, C. Turbulence effects on supernova neutrinos. Phys. Rev. D 2010, 82, 123004. [Google Scholar] [CrossRef]
  88. Borriello, E.; Chakraborty, S.; Janka, H.T.; Lisi, E.; Mirizzi, A. Turbulence patterns and neutrino flavor transitions in high-resolution supernova models. JCAP 2014, 1411, 030. [Google Scholar] [CrossRef]
  89. Lund, T.; Kneller, J.P. Combining collective, MSW, and turbulence effects in supernova neutrino flavor evolution. Phys. Rev. D 2013, 88, 023008. [Google Scholar] [CrossRef]
  90. Kneller, J.P.; Kabadi, N.V. Sensitivity of neutrinos to the supernova turbulence power spectrum: Point source statistics. Phys. Rev. D 2015, 92, 013009. [Google Scholar] [CrossRef]
  91. Patton, K.M.; Kneller, J.P.; McLaughlin, G.C. Stimulated neutrino transformation through turbulence on a changing density profile and application to supernovae. Phys. Rev. D 2015, 91, 025001. [Google Scholar] [CrossRef]
  92. Yang, Y.; Kneller, J.P. Neutrino Flavour Evolution Through Fluctuating Matter. J. Phys. G 2018, 45, 045201. [Google Scholar] [CrossRef]
  93. Kneller, J.P.; de los Reyes, M. The effect of core-collapse supernova accretion phase turbulence on neutrino flavor evolution. J. Phys. G 2017, 44, 084008. [Google Scholar] [CrossRef]
  94. Abbar, S. Turbulence Fingerprint on Collective Oscillations of Supernova Neutrinos. Phys. Rev. D 2021, 103, 045014. [Google Scholar] [CrossRef]
  95. Mukhopadhyay, M.; Sen, M. On probing turbulence in core-collapse supernovae in upcoming neutrino detectors. JCAP 2024, 03, 040. [Google Scholar] [CrossRef]
  96. Lunardini, C.; Smirnov, A.Y. Neutrinos from SN1987A, earth matter effects and the LMA solution of the solar neutrino problem. Phys. Rev. D 2001, 63, 073009. [Google Scholar] [CrossRef]
  97. Lunardini, C.; Smirnov, A.Y. Supernova neutrinos: Earth matter effects and neutrino mass spectrum. Nucl. Phys. B 2001, 616, 307–348. [Google Scholar] [CrossRef]
  98. Mirizzi, A.; Raffelt, G.G.; Serpico, P.D. Earth matter effects in supernova neutrinos: Optimal detector locations. JCAP 2006, 05, 012. [Google Scholar] [CrossRef]
  99. Dasgupta, B.; Dighe, A.; Mirizzi, A. Identifying neutrino mass hierarchy at extremely small theta(13) through Earth matter effects in a supernova signal. Phys. Rev. Lett. 2008, 101, 171801. [Google Scholar] [CrossRef] [PubMed]
  100. Borriello, E.; Chakraborty, S.; Mirizzi, A.; Serpico, P.D.; Tamborra, I. (Down-to-)Earth matter effect in supernova neutrinos. Phys. Rev. D 2012, 86, 083004. [Google Scholar] [CrossRef]
  101. Hajjar, R.; Mena, O.; Palomares-Ruiz, S. Earth tomography with supernova neutrinos at future neutrino detectors. Phys. Rev. D 2023, 108, 083011. [Google Scholar] [CrossRef]
  102. Raffelt, G.; Sarikas, S.; de Sousa Seixas, D. Axial Symmetry Breaking in Self-Induced Flavor Conversion of Supernova Neutrino Fluxes. Phys. Rev. Lett. 2013, 111, 091101, Erratum in Phys. Rev. Lett. 2014, 113, 239903. [Google Scholar] [CrossRef] [PubMed]
  103. Chakraborty, S.; Fischer, T.; Mirizzi, A.; Saviano, N.; Tomas, R. No collective neutrino flavor conversions during the supernova accretion phase. Phys. Rev. Lett. 2011, 107, 151101. [Google Scholar] [CrossRef]
  104. Dasgupta, B.; Mirizzi, A. Temporal Instability Enables Neutrino Flavor Conversions Deep Inside Supernovae. Phys. Rev. D 2015, 92, 125030. [Google Scholar] [CrossRef]
  105. Raffelt, G.G.; Smirnov, A.Y. Adiabaticity and spectral splits in collective neutrino transformations. Phys. Rev. 2007, D76, 125008. [Google Scholar] [CrossRef]
  106. Raffelt, G.G.; Smirnov, A.Y. Self-induced spectral splits in supernova neutrino fluxes. Phys. Rev. 2007, D76, 081301, Erratum in Phys. Rev. D 2008, 77, 029903. [Google Scholar] [CrossRef]
  107. Fogli, G.L.; Lisi, E.; Marrone, A.; Mirizzi, A. Collective neutrino flavor transitions in supernovae and the role of trajectory averaging. JCAP 2007, 0712, 010. [Google Scholar] [CrossRef]
  108. Fogli, G.L.; Lisi, E.; Marrone, A.; Mirizzi, A.; Tamborra, I. Low-energy spectral features of supernova (anti)neutrinos in inverted hierarchy. Phys. Rev. 2008, D78, 097301. [Google Scholar] [CrossRef]
  109. Dasgupta, B.; Dighe, A.; Raffelt, G.G.; Smirnov, A.Y. Multiple Spectral Splits of Supernova Neutrinos. Phys. Rev. Lett. 2009, 103, 051105. [Google Scholar] [CrossRef] [PubMed]
  110. Dasgupta, B.; Dighe, A.; Mirizzi, A.; Raffelt, G.G. Spectral split in prompt supernova neutrino burst: Analytic three-flavor treatment. Phys. Rev. 2008, D77, 113007. [Google Scholar] [CrossRef]
  111. Dasgupta, B.; Dighe, A. Collective three-flavor oscillations of supernova neutrinos. Phys. Rev. 2008, D77, 113002. [Google Scholar] [CrossRef]
  112. Friedland, A. Self-refraction of supernova neutrinos: Mixed spectra and three-flavor instabilities. Phys. Rev. Lett. 2010, 104, 191102. [Google Scholar] [CrossRef] [PubMed]
  113. Choubey, S.; Dasgupta, B.; Dighe, A.; Mirizzi, A. Signatures of collective and matter effects on supernova neutrinos at large detectors. arXiv 2010, arXiv:1008.0308. [Google Scholar]
  114. Banerjee, A.; Dighe, A.; Raffelt, G. Linearized flavor-stability analysis of dense neutrino streams. Phys. Rev. 2011, D84, 053013. [Google Scholar] [CrossRef]
  115. Izaguirre, I.; Raffelt, G.; Tamborra, I. Fast Pairwise Conversion of Supernova Neutrinos: A Dispersion-Relation Approach. Phys. Rev. Lett. 2017, 118, 021101. [Google Scholar] [CrossRef] [PubMed]
  116. Capozzi, F.; Dasgupta, B.; Lisi, E.; Marrone, A.; Mirizzi, A. Fast flavor conversions of supernova neutrinos: Classifying instabilities via dispersion relations. Phys. Rev. 2017, D96, 043016. [Google Scholar] [CrossRef]
  117. Capozzi, F.; Raffelt, G.; Stirner, T. Fast Neutrino Flavor Conversion: Collective Motion vs. Decoherence. JCAP 2019, 09, 002. [Google Scholar] [CrossRef]
  118. Yi, C.; Ma, L.; Martin, J.D.; Duan, H. The dispersion relation of the fast neutrino oscillation wave. arXiv 2019, arXiv:1901.01546. [Google Scholar] [CrossRef]
  119. Abbar, S.; Duan, H. Fast neutrino flavor conversion: Roles of dense matter and spectrum crossing. arXiv 2017, arXiv:1712.07013v1. [Google Scholar] [CrossRef]
  120. Dasgupta, B. Collective Neutrino Flavor Instability Requires a Crossing. Phys. Rev. Lett. 2022, 128, 081102. [Google Scholar] [CrossRef] [PubMed]
  121. Morinaga, T. Fast neutrino flavor instability and neutrino flavor lepton number crossings. arXiv 2021, arXiv:2103.15267. [Google Scholar] [CrossRef]
  122. Chakraborty, M.; Chakraborty, S. Three flavor neutrino conversions in supernovae: Slow & fast instabilities. JCAP 2020, 2001, 005. [Google Scholar] [CrossRef]
  123. Capozzi, F.; Chakraborty, M.; Chakraborty, S.; Sen, M. Fast flavor conversions in supernovae: The rise of mu-tau neutrinos. Phys. Rev. Lett. 2020, 125, 251801. [Google Scholar] [CrossRef]
  124. Shalgar, S.; Tamborra, I. Three flavor revolution in fast pairwise neutrino conversion. Phys. Rev. D 2021, 104, 023011. [Google Scholar] [CrossRef]
  125. Capozzi, F.; Chakraborty, M.; Chakraborty, S.; Sen, M. Supernova fast flavor conversions in 1+1D: Influence of mu-tau neutrinos. Phys. Rev. D 2022, 106, 083011. [Google Scholar] [CrossRef]
  126. Capozzi, F.; Dasgupta, B.; Mirizzi, A.; Sen, M.; Sigl, G. Collisional triggering of fast flavor conversions of supernova neutrinos. Phys. Rev. Lett. 2019, 122, 091101. [Google Scholar] [CrossRef] [PubMed]
  127. Shalgar, S.; Tamborra, I. A change of direction in pairwise neutrino conversion physics: The effect of collisions. Phys. Rev. D 2021, 103, 063002. [Google Scholar] [CrossRef]
  128. Martin, J.D.; Carlson, J.; Cirigliano, V.; Duan, H. Fast flavor oscillations in dense neutrino media with collisions. Phys. Rev. D 2021, 103, 063001. [Google Scholar] [CrossRef]
  129. Sasaki, H.; Takiwaki, T. A detailed analysis of the dynamics of fast neutrino flavor conversions with scattering effects. PTEP 2022, 2022, 073E01. [Google Scholar] [CrossRef]
  130. Sigl, G. Simulations of fast neutrino flavor conversions with interactions in inhomogeneous media. Phys. Rev. D 2022, 105, 043005. [Google Scholar] [CrossRef]
  131. Shalgar, S.; Tamborra, I. Neutrino flavor conversion, advection, and collisions: Toward the full solution. Phys. Rev. D 2023, 107, 063025. [Google Scholar] [CrossRef]
  132. Hansen, R.S.L.; Shalgar, S.; Tamborra, I. Enhancement or damping of fast neutrino flavor conversions due to collisions. Phys. Rev. D 2022, 105, 123003. [Google Scholar] [CrossRef]
  133. Padilla-Gay, I.; Tamborra, I.; Raffelt, G.G. Neutrino fast flavor pendulum. II. Collisional damping. Phys. Rev. D 2022, 106, 103031. [Google Scholar] [CrossRef]
  134. Akaho, R.; Liu, J.; Nagakura, H.; Zaizen, M.; Yamada, S. Collisional and fast neutrino flavor instabilities in two-dimensional core-collapse supernova simulation with Boltzmann neutrino transport. Phys. Rev. D 2024, 109, 023012. [Google Scholar] [CrossRef]
  135. Fiorillo, D.F.G.; Padilla-Gay, I.; Raffelt, G.G. Collisions and collective flavor conversion: Integrating out the fast dynamics. Phys. Rev. D 2024, 109, 063021. [Google Scholar] [CrossRef]
  136. Shalgar, S.; Tamborra, I. Do Neutrinos Become Flavor Unstable Due to Collisions with Matter in the Supernova Decoupling Region? arXiv 2023, arXiv:2307.10366. [Google Scholar] [CrossRef]
  137. Johns, L. Collisional Flavor Instabilities of Supernova Neutrinos. Phys. Rev. Lett. 2023, 130, 191001. [Google Scholar] [CrossRef] [PubMed]
  138. Johns, L.; Xiong, Z. Collisional instabilities of neutrinos and their interplay with fast flavor conversion in compact objects. Phys. Rev. D 2022, 106, 103029. [Google Scholar] [CrossRef]
  139. Xiong, Z.; Wu, M.R.; Martínez-Pinedo, G.; Fischer, T.; George, M.; Lin, C.Y.; Johns, L. Evolution of collisional neutrino flavor instabilities in spherically symmetric supernova models. Phys. Rev. D 2023, 107, 083016. [Google Scholar] [CrossRef]
  140. Lin, Y.C.; Duan, H. Collision-induced flavor instability in dense neutrino gases with energy-dependent scattering. Phys. Rev. D 2023, 107, 083034. [Google Scholar] [CrossRef]
  141. Xiong, Z.; Johns, L.; Wu, M.R.; Duan, H. Collisional flavor instability in dense neutrino gases. Phys. Rev. D 2023, 108, 083002. [Google Scholar] [CrossRef]
  142. Liu, J.; Nagakura, H.; Akaho, R.; Ito, A.; Zaizen, M.; Yamada, S. Universality of the neutrino collisional flavor instability in core-collapse supernovae. Phys. Rev. D 2023, 108, 123024. [Google Scholar] [CrossRef]
  143. Kato, C.; Nagakura, H.; Johns, L. Collisional flavor swap with neutrino self-interactions. arXiv 2023, arXiv:2309.02619. [Google Scholar] [CrossRef]
  144. Abbar, S.; Volpe, M.C. On Fast Neutrino Flavor Conversion Modes in the Nonlinear Regime. Phys. Lett. 2019, B790, 545–550. [Google Scholar] [CrossRef]
  145. Bhattacharyya, S.; Dasgupta, B. Fast Flavor Depolarization of Supernova Neutrinos. Phys. Rev. Lett. 2021, 126, 061302. [Google Scholar] [CrossRef]
  146. Bhattacharyya, S.; Dasgupta, B. Late-time behavior of fast neutrino oscillations. Phys. Rev. D 2020, 102, 063018. [Google Scholar] [CrossRef]
  147. Wu, M.R.; George, M.; Lin, C.Y.; Xiong, Z. Collective fast neutrino flavor conversions in a 1D box: Initial conditions and long-term evolution. Phys. Rev. D 2021, 104, 103003. [Google Scholar] [CrossRef]
  148. Richers, S.; Willcox, D.E.; Ford, N.M.; Myers, A. Particle-in-cell Simulation of the Neutrino Fast Flavor Instability. Phys. Rev. D 2021, 103, 083013. [Google Scholar] [CrossRef]
  149. Richers, S.; Willcox, D.; Ford, N. Neutrino fast flavor instability in three dimensions. Phys. Rev. D 2021, 104, 103023. [Google Scholar] [CrossRef]
  150. Bhattacharyya, S.; Dasgupta, B. Elaborating the Ultimate Fate of Fast Collective Neutrino Flavor Oscillations. arXiv 2022, arXiv:2205.05129. [Google Scholar] [CrossRef]
  151. Zaizen, M.; Nagakura, H. Simple method for determining asymptotic states of fast neutrino-flavor conversion. Phys. Rev. D 2023, 107, 103022. [Google Scholar] [CrossRef]
  152. Cornelius, M.; Shalgar, S.; Tamborra, I. Perturbing fast neutrino flavor conversion. JCAP 2024, 02, 038. [Google Scholar] [CrossRef]
  153. Johns, L.; Nagakura, H.; Fuller, G.M.; Burrows, A. Fast oscillations, collisionless relaxation, and spurious evolution of supernova neutrino flavor. Phys. Rev. D 2020, 102, 103017. [Google Scholar] [CrossRef]
  154. Xiong, Z.; Qian, Y.Z. Stationary solutions for fast flavor oscillations of a homogeneous dense neutrino gas. Phys. Lett. B 2021, 820, 136550. [Google Scholar] [CrossRef]
  155. Abbar, S.; Capozzi, F. Suppression of fast neutrino flavor conversions occurring at large distances in core-collapse supernovae. JCAP 2022, 03, 051. [Google Scholar] [CrossRef]
  156. Richers, S.; Duan, H.; Wu, M.R.; Bhattacharyya, S.; Zaizen, M.; George, M.; Lin, C.Y.; Xiong, Z. Code comparison for fast flavor instability simulations. Phys. Rev. D 2022, 106, 043011. [Google Scholar] [CrossRef]
  157. Nagakura, H.; Zaizen, M. Time-Dependent and Quasisteady Features of Fast Neutrino-Flavor Conversion. Phys. Rev. Lett. 2022, 129, 261101. [Google Scholar] [CrossRef] [PubMed]
  158. Zaizen, M.; Nagakura, H. Characterizing quasisteady states of fast neutrino-flavor conversion by stability and conservation laws. Phys. Rev. D 2023, 107, 123021. [Google Scholar] [CrossRef]
  159. Fiorillo, D.F.G.; Raffelt, G.G. Flavor solitons in dense neutrino gases. Phys. Rev. D 2023, 107, 123024. [Google Scholar] [CrossRef]
  160. Abbar, S.; Wu, M.R.; Xiong, Z. Physics-informed neural networks for predicting the asymptotic outcome of fast neutrino flavor conversions. Phys. Rev. D 2024, 109, 043024. [Google Scholar] [CrossRef]
  161. Abbar, S.; Harada, A.; Nagakura, H. Machine Learning-Based Detection of Non-Axisymmetric Fast Neutrino Flavor Instabilities in Core-Collapse Supernovae. arXiv 2024, arXiv:2401.10915. [Google Scholar]
  162. Fiorillo, D.F.G.; Raffelt, G.G.; Sigl, G. Inhomogeneous Kinetic Equation for Mixed Neutrinos: Tracing the Missing Energy. arXiv 2024, arXiv:2401.05278. [Google Scholar]
  163. Fiorillo, D.F.G.; Raffelt, G. Fast flavor conversions at the edge of instability. arXiv 2024, arXiv:2403.12189. [Google Scholar]
  164. Xiong, Z.; Wu, M.R.; George, M.; Lin, C.Y. Robust integration of fast flavor conversions in classical neutrino transport. arXiv 2024, arXiv:2403.17269. [Google Scholar]
  165. Johns, L.; Nagakura, H.; Fuller, G.M.; Burrows, A. Neutrino oscillations in supernovae: Angular moments and fast instabilities. Phys. Rev. D 2020, 101, 043009. [Google Scholar] [CrossRef]
  166. Padilla-Gay, I.; Tamborra, I.; Raffelt, G.G. Neutrino Flavor Pendulum Reloaded: The Case of Fast Pairwise Conversion. Phys. Rev. Lett. 2022, 128, 121102. [Google Scholar] [CrossRef] [PubMed]
  167. Fiorillo, D.F.G.; Raffelt, G.G. Slow and fast collective neutrino oscillations: Invariants and reciprocity. Phys. Rev. D 2023, 107, 043024. [Google Scholar] [CrossRef]
  168. Tamborra, I.; Huedepohl, L.; Raffelt, G.; Janka, H.T. Flavor-dependent neutrino angular distribution in core-collapse supernovae. Astrophys. J. 2017, 839, 132. [Google Scholar] [CrossRef]
  169. Tamborra, I.; Hanke, F.; Janka, H.T.; Mueller, B.; Raffelt, G.G.; Marek, A. Self-sustained asymmetry of lepton-number emission: A new phenomenon during the supernova shock-accretion phase in three dimensions. Astrophys. J. 2014, 792, 96. [Google Scholar] [CrossRef]
  170. Dasgupta, B.; Mirizzi, A.; Sen, M. Simple method of diagnosing fast flavor conversions of supernova neutrinos. Phys. Rev. 2018, D98, 103001. [Google Scholar] [CrossRef]
  171. Glas, R.; Janka, H.T.; Capozzi, F.; Sen, M.; Dasgupta, B.; Mirizzi, A.; Sigl, G. Fast Neutrino Flavor Instability in the Neutron-star Convection Layer of Three-dimensional Supernova Models. Phys. Rev. D 2020, 101, 063001. [Google Scholar] [CrossRef]
  172. Nagakura, H.; Johns, L. Constructing angular distributions of neutrinos in core-collapse supernovae from zeroth and first moments calibrated by full Boltzmann neutrino transport. Phys. Rev. D 2021, 103, 123025. [Google Scholar] [CrossRef]
  173. Abbar, S. Searching for Fast Neutrino Flavor Conversion Modes in Core-collapse Supernova Simulations. JCAP 2020, 05, 027. [Google Scholar] [CrossRef]
  174. Abbar, S.; Capozzi, F.; Glas, R.; Janka, H.T.; Tamborra, I. On the characteristics of fast neutrino flavor instabilities in three-dimensional core-collapse supernova models. Phys. Rev. D 2021, 103, 063033. [Google Scholar] [CrossRef]
  175. Capozzi, F.; Abbar, S.; Bollig, R.; Janka, H.T. Fast neutrino flavor conversions in one-dimensional core-collapse supernova models with and without muon creation. arXiv 2020, arXiv:2012.08525. [Google Scholar] [CrossRef]
  176. Nagakura, H.; Johns, L. New method for detecting fast neutrino flavor conversions in core-collapse supernova models with two-moment neutrino transport. Phys. Rev. D 2021, 104, 063014. [Google Scholar] [CrossRef]
  177. Nagakura, H.; Johns, L.; Burrows, A.; Fuller, G.M. Where, when, and why: Occurrence of fast-pairwise collective neutrino oscillation in three-dimensional core-collapse supernova models. Phys. Rev. D 2021, 104, 083025. [Google Scholar] [CrossRef]
  178. Ehring, J.; Abbar, S.; Janka, H.T.; Raffelt, G.; Tamborra, I. Fast neutrino flavor conversion in core-collapse supernovae: A parametric study in 1D models. Phys. Rev. D 2023, 107, 103034. [Google Scholar] [CrossRef]
  179. Abbar, S.; Nagakura, H. Detecting fast neutrino flavor conversions with machine learning. Phys. Rev. D 2024, 109, 023033. [Google Scholar] [CrossRef]
  180. Froustey, J.; Richers, S.; Grohs, E.; Flynn, S.D.; Foucart, F.; Kneller, J.P.; McLaughlin, G.C. Neutrino fast flavor oscillations with moments: Linear stability analysis and application to neutron star mergers. Phys. Rev. D 2024, 109, 043046. [Google Scholar] [CrossRef]
  181. Dasgupta, B.; O’Connor, E.P.; Ott, C.D. The Role of Collective Neutrino Flavor Oscillations in Core-Collapse Supernova Shock Revival. Phys. Rev. 2012, D85, 065008. [Google Scholar] [CrossRef]
  182. Ehring, J.; Abbar, S.; Janka, H.T.; Raffelt, G.; Tamborra, I. Fast Neutrino Flavor Conversions Can Help and Hinder Neutrino-Driven Explosions. Phys. Rev. Lett. 2023, 131, 061401. [Google Scholar] [CrossRef] [PubMed]
  183. Fujimoto, S.i.; Nagakura, H. Explosive nucleosynthesis with fast neutrino-flavour conversion in core-collapse supernovae. Mon. Not. R. Astron. Soc. 2022, 519, 2623–2629. [Google Scholar] [CrossRef]
  184. Xiong, Z.; Sieverding, A.; Sen, M.; Qian, Y.Z. Potential Impact of Fast Flavor Oscillations on Neutrino-driven Winds and Their Nucleosynthesis. Astrophys. J. 2020, 900, 144. [Google Scholar] [CrossRef]
  185. Fischer, T.; Guo, G.; Langanke, K.; Martinez-Pinedo, G.; Qian, Y.Z.; Wu, M.R. Neutrinos and nucleosynthesis of elements. Prog. Part. Nucl. Phys. 2024, 137, 104107. [Google Scholar] [CrossRef]
  186. Balantekin, A.B.; Cervia, M.J.; Patwardhan, A.V.; Surman, R.; Wang, X. Collective neutrino oscillations and heavy-element nucleosynthesis in supernovae: Exploring potential effects of many-body neutrino correlations. arXiv 2023, arXiv:2311.02562. [Google Scholar] [CrossRef]
  187. Friedland, A.; Mukhopadhyay, P.; Patwardhan, A.V. Successful νp-process in neutrino-driven outflows in core-collapse supernovae. arXiv 2023, arXiv:2312.03208. [Google Scholar]
  188. Sen, M. New Aspects of Supernova Neutrino Flavor Conversions: In the Standard Model and Beyond. Ph.D. Thesis, Tata Institute of Fundamental Research, Mumbai, India, 2018. [Google Scholar]
  189. Friedland, A.; Lunardini, C. Do many particle neutrino interactions cause a novel coherent effect? JHEP 2003, 10, 043. [Google Scholar] [CrossRef]
  190. Friedland, A.; Lunardini, C. Neutrino flavor conversion in a neutrino background: Single particle versus multiparticle description. Phys. Rev. D 2003, 68, 013007. [Google Scholar] [CrossRef]
  191. Balantekin, A.B.; Pehlivan, Y. Neutrino-Neutrino Interactions and Flavor Mixing in Dense Matter. J. Phys. G 2007, 34, 47–66. [Google Scholar] [CrossRef]
  192. Pehlivan, Y.; Balantekin, A.B.; Kajino, T.; Yoshida, T. Invariants of Collective Neutrino Oscillations. Phys. Rev. D 2011, 84, 065008. [Google Scholar] [CrossRef]
  193. Volpe, C.; Väänänen, D.; Espinoza, C. Extended evolution equations for neutrino propagation in astrophysical and cosmological environments. Phys. Rev. D 2013, 87, 113010. [Google Scholar] [CrossRef]
  194. Väänänen, D.; Volpe, C. Linearizing neutrino evolution equations including neutrino-antineutrino pairing correlations. Phys. Rev. D 2013, 88, 065003. [Google Scholar] [CrossRef]
  195. Serreau, J.; Volpe, C. Neutrino-antineutrino correlations in dense anisotropic media. Phys. Rev. D 2014, 90, 125040. [Google Scholar] [CrossRef]
  196. Birol, S.; Pehlivan, Y.; Balantekin, A.B.; Kajino, T. Neutrino Spectral Split in the Exact Many Body Formalism. Phys. Rev. D 2018, 98, 083002. [Google Scholar] [CrossRef]
  197. Patwardhan, A.V.; Cervia, M.J.; Baha Balantekin, A. Eigenvalues and eigenstates of the many-body collective neutrino oscillation problem. Phys. Rev. D 2019, 99, 123013. [Google Scholar] [CrossRef]
  198. Cervia, M.J.; Patwardhan, A.V.; Balantekin, A.B.; Coppersmith, t.S.N.; Johnson, C.W. Entanglement and collective flavor oscillations in a dense neutrino gas. Phys. Rev. D 2019, 100, 083001. [Google Scholar] [CrossRef]
  199. Rrapaj, E. Exact solution of multiangle quantum many-body collective neutrino-flavor oscillations. Phys. Rev. C 2020, 101, 065805. [Google Scholar] [CrossRef]
  200. Roggero, A. Entanglement and many-body effects in collective neutrino oscillations. Phys. Rev. D 2021, 104, 103016. [Google Scholar] [CrossRef]
  201. Patwardhan, A.V.; Cervia, M.J.; Balantekin, A.B. Spectral splits and entanglement entropy in collective neutrino oscillations. Phys. Rev. D 2021, 104, 123035. [Google Scholar] [CrossRef]
  202. Patwardhan, A.V.; Cervia, M.J.; Rrapaj, E.; Siwach, P.; Balantekin, A.B. Many-Body Collective Neutrino Oscillations: Recent Developments. In Handbook of Nuclear Physics; Tanihata, I., Toki, H., Kajino, T., Eds.; Springer: Singapore, 2023; pp. 1–16. [Google Scholar] [CrossRef]
  203. Raffelt, G.G. Particle physics from stars. Ann. Rev. Nucl. Part. Sci. 1999, 49, 163–216. [Google Scholar] [CrossRef]
  204. Ellis, J.R.; Olive, K.A. Constraints on Light Particles From Supernova Sn1987a. Phys. Lett. B 1987, 193, 525. [Google Scholar] [CrossRef]
  205. Raffelt, G.; Seckel, D. Bounds on Exotic Particle Interactions from SN 1987a. Phys. Rev. Lett. 1988, 60, 1793. [Google Scholar] [CrossRef] [PubMed]
  206. Turner, M.S. Axions from SN1987A. Phys. Rev. Lett. 1988, 60, 1797–1800. [Google Scholar] [CrossRef]
  207. Burrows, A.; Ressell, M.T.; Turner, M.S. Axions and SN1987A: Axion trapping. Phys. Rev. D 1990, 42, 3297–3309. [Google Scholar] [CrossRef] [PubMed]
  208. Dolan, M.J.; Ferber, T.; Hearty, C.; Kahlhoefer, F.; Schmidt-Hoberg, K. Revised constraints and Belle II sensitivity for visible and invisible axion-like particles. JHEP 2017, 12, 094, Erratum in JHEP 2021, 03, 190. [Google Scholar] [CrossRef]
  209. Chang, J.H.; Essig, R.; McDermott, S.D. Supernova 1987A Constraints on Sub-GeV Dark Sectors, Millicharged Particles, the QCD Axion, and an Axion-like Particle. JHEP 2018, 09, 051. [Google Scholar] [CrossRef]
  210. Carenza, P.; Fischer, T.; Giannotti, M.; Guo, G.; Martínez-Pinedo, G.; Mirizzi, A. Improved axion emissivity from a supernova via nucleon-nucleon bremsstrahlung. JCAP 2019, 10, 016, Erratum in JCAP 2020, 05, E01. [Google Scholar] [CrossRef]
  211. Carenza, P.; Fore, B.; Giannotti, M.; Mirizzi, A.; Reddy, S. Enhanced Supernova Axion Emission and its Implications. Phys. Rev. Lett. 2021, 126, 071102. [Google Scholar] [CrossRef]
  212. Lucente, G.; Carenza, P.; Fischer, T.; Giannotti, M.; Mirizzi, A. Heavy axion-like particles and core-collapse supernovae: Constraints and impact on the explosion mechanism. JCAP 2020, 12, 008. [Google Scholar] [CrossRef]
  213. Calore, F.; Carenza, P.; Giannotti, M.; Jaeckel, J.; Lucente, G.; Mirizzi, A. Supernova bounds on axionlike particles coupled with nucleons and electrons. Phys. Rev. D 2021, 104, 043016. [Google Scholar] [CrossRef]
  214. Caputo, A.; Raffelt, G. Astrophysical Axion Bounds: The 2024 Edition. In Proceedings of the 1st Training School of the COST Action COSMIC WISPers (CA21106), Lecce, Italy, 11–14 September 2023. [Google Scholar] [CrossRef]
  215. Rrapaj, E.; Reddy, S. Nucleon-nucleon bremsstrahlung of dark gauge bosons and revised supernova constraints. Phys. Rev. C 2016, 94, 045805. [Google Scholar] [CrossRef]
  216. Chang, J.H.; Essig, R.; McDermott, S.D. Revisiting Supernova 1987A Constraints on Dark Photons. JHEP 2017, 01, 107. [Google Scholar] [CrossRef]
  217. Sung, A.; Guo, G.; Wu, M.R. Supernova Constraint on Self-Interacting Dark Sector Particles. Phys. Rev. D 2021, 103, 103005. [Google Scholar] [CrossRef]
  218. Caputo, A.; Millar, A.J.; O’Hare, C.A.J.; Vitagliano, E. Dark photon limits: A handbook. Phys. Rev. D 2021, 104, 095029. [Google Scholar] [CrossRef]
  219. Cerdeño, D.G.; Cermeño, M.; Farzan, Y. Constraints from the duration of supernova neutrino burst on on-shell light gauge boson production by neutrinos. Phys. Rev. D 2023, 107, 123012. [Google Scholar] [CrossRef]
  220. Farzan, Y. Bounds on the coupling of the Majoron to light neutrinos from supernova cooling. Phys. Rev. D 2003, 67, 073015. [Google Scholar] [CrossRef]
  221. Brune, T.; Päs, H. Massive Majorons and constraints on the Majoron-neutrino coupling. Phys. Rev. D 2019, 99, 096005. [Google Scholar] [CrossRef]
  222. Heurtier, L.; Zhang, Y. Supernova Constraints on Massive (Pseudo)Scalar Coupling to Neutrinos. JCAP 2017, 02, 042. [Google Scholar] [CrossRef]
  223. Diamond, M.; Fiorillo, D.F.G.; Marques-Tavares, G.; Vitagliano, E. Axion-sourced fireballs from supernovae. Phys. Rev. D 2023, 107, 103029, Erratum in Phys. Rev. D 2023, 108, 049902. [Google Scholar] [CrossRef]
  224. Antel, C.; Battaglieri, M.; Beacham, J.; Boehm, C.; Buchmüller, O.; Calore, F.; Carenza, P.; Chauhan, B.; Cladè, P.; Coloma, P.; et al. Feebly-interacting particles: FIPs 2022 Workshop Report. Eur. Phys. J. C 2023, 83, 1122. [Google Scholar] [CrossRef]
  225. Caputo, A.; Raffelt, G.; Vitagliano, E. Muonic boson limits: Supernova redux. Phys. Rev. D 2022, 105, 035022. [Google Scholar] [CrossRef]
  226. Caputo, A.; Raffelt, G.; Vitagliano, E. Radiative transfer in stars by feebly interacting bosons. JCAP 2022, 08, 045. [Google Scholar] [CrossRef]
  227. Fiorillo, D.F.G.; Vitagliano, E. Self-interacting dark sectors in supernovae are fluid. arXiv 2024, arXiv:2404.07714. [Google Scholar]
  228. Bollig, R.; DeRocco, W.; Graham, P.W.; Janka, H.T. Muons in Supernovae: Implications for the Axion-Muon Coupling. Phys. Rev. Lett. 2020, 125, 051104, Erratum in Phys. Rev. Lett. 2021, 126, 189901. [Google Scholar] [CrossRef] [PubMed]
  229. Croon, D.; Elor, G.; Leane, R.K.; McDermott, S.D. Supernova Muons: New Constraints on Z’ Bosons, Axions and ALPs. JHEP 2021, 01, 107. [Google Scholar] [CrossRef]
  230. Fiorillo, D.F.G.; Raffelt, G.G.; Vitagliano, E. Strong Supernova 1987A Constraints on Bosons Decaying to Neutrinos. Phys. Rev. Lett. 2023, 131, 021001. [Google Scholar] [CrossRef] [PubMed]
  231. Caputo, A.; Janka, H.T.; Raffelt, G.; Vitagliano, E. Low-Energy Supernovae Severely Constrain Radiative Particle Decays. Phys. Rev. Lett. 2022, 128, 221103. [Google Scholar] [CrossRef] [PubMed]
  232. Mastrototaro, L.; Mirizzi, A.; Serpico, P.D.; Esmaili, A. Heavy sterile neutrino emission in core-collapse supernovae: Constraints and signatures. JCAP 2020, 01, 010. [Google Scholar] [CrossRef]
  233. Carenza, P.; Lucente, G.; Mastrototaro, L.; Mirizzi, A.; Serpico, P.D. Comprehensive constraints on heavy sterile neutrinos from core-collapse supernovae. Phys. Rev. D 2024, 109, 063010. [Google Scholar] [CrossRef]
  234. Brdar, V.; de Gouvêa, A.; Li, Y.Y.; Machado, P.A.N. Neutrino magnetic moment portal and supernovae: New constraints and multimessenger opportunities. Phys. Rev. D 2023, 107, 073005. [Google Scholar] [CrossRef]
  235. Raffelt, G.G.; Zhou, S. Supernova bound on keV-mass sterile neutrinos reexamined. Phys. Rev. D 2011, 83, 093014. [Google Scholar] [CrossRef]
  236. Argüelles, C.A.; Brdar, V.; Kopp, J. Production of keV Sterile Neutrinos in Supernovae: New Constraints and Gamma Ray Observables. Phys. Rev. D 2019, 99, 043012. [Google Scholar] [CrossRef]
  237. Syvolap, V.; Ruchayskiy, O.; Boyarsky, A. Resonance production of keV sterile neutrinos in core-collapse supernovae and lepton number diffusion. Phys. Rev. D 2022, 106, 015017. [Google Scholar] [CrossRef]
  238. Suliga, A.M.; Tamborra, I.; Wu, M.R. Tau lepton asymmetry by sterile neutrino emission–Moving beyond one-zone supernova models. JCAP 2019, 12, 019. [Google Scholar] [CrossRef]
  239. Chen, Y.M.; Sen, M.; Tangarife, W.; Tuckler, D.; Zhang, Y. Core-collapse supernova constraint on the origin of sterile neutrino dark matter via neutrino self-interactions. JCAP 2022, 11, 014. [Google Scholar] [CrossRef]
  240. Suliga, A.M.; Tamborra, I.; Wu, M.R. Lifting the core-collapse supernova bounds on keV-mass sterile neutrinos. JCAP 2020, 08, 018. [Google Scholar] [CrossRef]
  241. Tamborra, I.; Raffelt, G.G.; Hudepohl, L.; Janka, H.T. Impact of eV-mass sterile neutrinos on neutrino-driven supernova outflows. JCAP 2012, 1201, 013. [Google Scholar] [CrossRef]
  242. Franarin, T.; Davis, J.H.; Fairbairn, M. Prospects for detecting eV-scale sterile neutrinos from a galactic supernova. JCAP 2018, 09, 002. [Google Scholar] [CrossRef]
  243. Tang, J.; Wang, T.; Wu, M.R. Constraining sterile neutrinos by core-collapse supernovae with multiple detectors. JCAP 2020, 10, 038. [Google Scholar] [CrossRef]
  244. Esteban-Pretel, A.; Tomas, R.; Valle, J.W.F. Probing non-standard neutrino interactions with supernova neutrinos. Phys. Rev. D 2007, 76, 053001. [Google Scholar] [CrossRef]
  245. Esteban-Pretel, A.; Tomas, R.; Valle, J.W.F. Interplay between collective effects and non-standard neutrino interactions of supernova neutrinos. Phys. Rev. D 2010, 81, 063003. [Google Scholar] [CrossRef]
  246. Blennow, M.; Mirizzi, A.; Serpico, P.D. Nonstandard neutrino-neutrino refractive effects in dense neutrino gases. Phys. Rev. 2008, D78, 113004. [Google Scholar] [CrossRef]
  247. Das, A.; Dighe, A.; Sen, M. New effects of non-standard self-interactions of neutrinos in a supernova. JCAP 2017, 1705, 051. [Google Scholar] [CrossRef]
  248. Dighe, A.; Sen, M. Nonstandard neutrino self-interactions in a supernova and fast flavor conversions. Phys. Rev. 2018, D97, 043011. [Google Scholar] [CrossRef]
  249. Shalgar, S.; Tamborra, I.; Bustamante, M. Core-collapse supernovae stymie secret neutrino interactions. Phys. Rev. D 2021, 103, 123008. [Google Scholar] [CrossRef]
  250. Fiorillo, D.F.G.; Raffelt, G.G.; Vitagliano, E. Large Neutrino Secret Interactions Have a Small Impact on Supernovae. Phys. Rev. Lett. 2024, 132, 021002. [Google Scholar] [CrossRef] [PubMed]
  251. Chang, P.W.; Esteban, I.; Beacom, J.F.; Thompson, T.A.; Hirata, C.M. Toward Powerful Probes of Neutrino Self-Interactions in Supernovae. Phys. Rev. Lett. 2023, 131, 071002. [Google Scholar] [CrossRef] [PubMed]
  252. Carpio, J.A.; Kheirandish, A.; Murase, K. Time-delayed neutrino emission from supernovae as a probe of dark matter-neutrino interactions. JCAP 2023, 04, 019. [Google Scholar] [CrossRef]
  253. Das, A.; Sen, M. Boosted dark matter from diffuse supernova neutrinos. Phys. Rev. D 2021, 104, 075029. [Google Scholar] [CrossRef]
  254. Lin, Y.H.; Wu, W.H.; Wu, M.R.; Wong, H.T.K. Searching for Afterglow: Light Dark Matter Boosted by Supernova Neutrinos. Phys. Rev. Lett. 2023, 130, 111002. [Google Scholar] [CrossRef] [PubMed]
  255. Das, A.; Herbermann, T.; Sen, M.; Takhistov, V. Energy-dependent Boosted Dark Matter from Diffuse Supernova Neutrino Background. arXiv 2024, arXiv:2403.15367. [Google Scholar]
  256. Kernan, P.J.; Krauss, L.M. Yet another paper on SN1987A: Large angle oscillations and the electron-neutrino mass. Nucl. Phys. B 1995, 437, 243–256. [Google Scholar] [CrossRef]
  257. Pompa, F.; Capozzi, F.; Mena, O.; Sorel, M. Absolute ν Mass Measurement with the DUNE Experiment. Phys. Rev. Lett. 2022, 129, 121802. [Google Scholar] [CrossRef]
  258. Hansen, R.S.L.; Lindner, M.; Scholer, O. Timing the neutrino signal of a Galactic supernova. Phys. Rev. D 2020, 101, 123018. [Google Scholar] [CrossRef]
  259. Linzer, N.B.; Scholberg, K. Triangulation Pointing to Core-Collapse Supernovae with Next-Generation Neutrino Detectors. Phys. Rev. D 2019, 100, 103005. [Google Scholar] [CrossRef]
  260. Serpico, P.D.; Chakraborty, S.; Fischer, T.; Hudepohl, L.; Janka, H.T.; Mirizzi, A. Probing the neutrino mass hierarchy with the rise time of a supernova burst. Phys. Rev. 2012, D85, 085031. [Google Scholar] [CrossRef]
  261. Brdar, V.; Xu, X.J. Timing and multi-channel: Novel method for determining the neutrino mass ordering from supernovae. JCAP 2022, 08, 067. [Google Scholar] [CrossRef]
  262. Frieman, J.A.; Haber, H.E.; Freese, K. Neutrino Mixing, Decays and Supernova Sn1987a. Phys. Lett. B 1988, 200, 115–121. [Google Scholar] [CrossRef]
  263. Iváñez Ballesteros, P.; Volpe, M.C. SN1987A and neutrino non-radiative decay. Phys. Lett. B 2023, 847, 138252. [Google Scholar] [CrossRef]
  264. de Gouvêa, A.; Martinez-Soler, I.; Sen, M. Impact of neutrino decays on the supernova neutronization-burst flux. Phys. Rev. D 2020, 101, 043013. [Google Scholar] [CrossRef]
  265. Pal, P.B.; Wolfenstein, L. Radiative Decays of Massive Neutrinos. Phys. Rev. D 1982, 25, 766. [Google Scholar] [CrossRef]
  266. Barbieri, R.; Mohapatra, R.N. Limit on the Magnetic Moment of the Neutrino from Supernova SN 1987a Observations. Phys. Rev. Lett. 1988, 61, 27. [Google Scholar] [CrossRef]
  267. Lim, C.S.; Marciano, W.J. Resonant Spin - Flavor Precession of Solar and Supernova Neutrinos. Phys. Rev. D 1988, 37, 1368–1373. [Google Scholar] [CrossRef]
  268. Akhmedov, E.K. Resonant Amplification of Neutrino Spin Rotation in Matter and the Solar Neutrino Problem. Phys. Lett. B 1988, 213, 64–68. [Google Scholar] [CrossRef]
  269. Ando, S.; Sato, K. A Comprehensive study of neutrino spin flavor conversion in supernovae and the neutrino mass hierarchy. JCAP 2003, 10, 001. [Google Scholar] [CrossRef]
  270. Akhmedov, E.K.; Fukuyama, T. Supernova prompt neutronization neutrinos and neutrino magnetic moments. JCAP 2003, 12, 007. [Google Scholar] [CrossRef]
  271. Jana, S.; Porto-Silva, Y.P.; Sen, M. Exploiting a future galactic supernova to probe neutrino magnetic moments. JCAP 2022, 09, 079. [Google Scholar] [CrossRef]
  272. de Gouvea, A.; Shalgar, S. Effect of Transition Magnetic Moments on Collective Supernova Neutrino Oscillations. JCAP 2012, 10, 027. [Google Scholar] [CrossRef]
  273. Abbar, S. Collective Oscillations of Majorana Neutrinos in Strong Magnetic Fields and Self-induced Flavor Equilibrium. Phys. Rev. D 2020, 101, 103032. [Google Scholar] [CrossRef]
  274. Giunti, C.; Studenikin, A. Neutrino electromagnetic interactions: A window to new physics. Rev. Mod. Phys. 2015, 87, 531. [Google Scholar] [CrossRef]
  275. Wolfenstein, L. Different Varieties of Massive Dirac Neutrinos. Nucl. Phys. B 1981, 186, 147–152. [Google Scholar] [CrossRef]
  276. Martinez-Soler, I.; Perez-Gonzalez, Y.F.; Sen, M. Signs of pseudo-Dirac neutrinos in SN1987A data. Phys. Rev. D 2022, 105, 095019. [Google Scholar] [CrossRef]
  277. Sen, M. Constraining pseudo-Dirac neutrinos from a galactic core-collapse supernova. arXiv 2022, arXiv:2205.13291. [Google Scholar]
  278. Guzzo, M.M.; Nunokawa, H.; Tomas, R. Testing the principle of equivalence by supernova neutrinos. Astropart. Phys. 2002, 18, 277–286. [Google Scholar] [CrossRef]
  279. Mukhopadhyay, M.; Lunardini, C.; Timmes, F.X.; Zuber, K. Presupernova neutrinos: Directional sensitivity and prospects for progenitor identification. Astrophys. J. 2020, 899, 153. [Google Scholar] [CrossRef]
  280. Reddy, S.; Zhou, D. Dark lepton superfluid in protoneutron stars. Phys. Rev. D 2022, 105, 023026. [Google Scholar] [CrossRef]
  281. Ghosh, M.; Grossman, Y.; Tangarife, W.; Xu, X.J.; Yu, B. Neutrino forces in neutrino backgrounds. JHEP 2023, 02, 092. [Google Scholar] [CrossRef]
  282. Chakraborty, S.; Mirizzi, A.; Sigl, G. Testing Lorentz invariance with neutrino bursts from supernova neutronization. Phys. Rev. 2013, D87, 017302. [Google Scholar] [CrossRef]
  283. Dasgupta, B.; Fischer, T.; Horiuchi, S.; Liebendorfer, M.; Mirizzi, A.; Sagert, I.; Schaffner-Bielich, J. Detecting the QCD phase transition in the next Galactic supernova neutrino burst. Phys. Rev. D 2010, 81, 103005. [Google Scholar] [CrossRef]
  284. Beacom, J.F. The Diffuse Supernova Neutrino Background. Ann. Rev. Nucl. Part. Sci. 2010, 60, 439–462. [Google Scholar] [CrossRef]
  285. De Gouvêa, A.; Martinez-Soler, I.; Perez-Gonzalez, Y.F.; Sen, M. Fundamental physics with the diffuse supernova background neutrinos. Phys. Rev. D 2020, 102, 123012. [Google Scholar] [CrossRef]
  286. Ando, S.; Ekanger, N.; Horiuchi, S.; Koshio, Y. Diffuse neutrino background from past core-collapse supernovae. arXiv 2023, arXiv:2306.16076. [Google Scholar] [CrossRef]
Figure 1. An example setup of interacting neutrino beams showing bipolar collective oscillations. The survival probability of one of the beams is plotted as a function of time in units of ω .
Figure 1. An example setup of interacting neutrino beams showing bipolar collective oscillations. The survival probability of one of the beams is plotted as a function of time in units of ω .
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Figure 2. Spectral swap in the two mass orderings. Here, “e” refers to ν e , whereas “x” refers to ν x .
Figure 2. Spectral swap in the two mass orderings. Here, “e” refers to ν e , whereas “x” refers to ν x .
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Figure 3. Schematic diagram of the neutrino angular distributions near the neutrinosphere, showing different flavours having different distributions. Neutrino flavours that decouple earlier have a more forward-peaked angular distribution, while those that decouple later are more isotropic. This leads to a zero-crossing in the ELN. Figure adapted from Ref. [38].
Figure 3. Schematic diagram of the neutrino angular distributions near the neutrinosphere, showing different flavours having different distributions. Neutrino flavours that decouple earlier have a more forward-peaked angular distribution, while those that decouple later are more isotropic. This leads to a zero-crossing in the ELN. Figure adapted from Ref. [38].
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Figure 4. The depolarisation factor f v D as a function of v . It varies between 0 (no-depolarisation) and 0.5 (complete depolarisation), whereas 0.5 f v D 1 indicates a net flavour conversion. Figure adapted from Ref. [145].
Figure 4. The depolarisation factor f v D as a function of v . It varies between 0 (no-depolarisation) and 0.5 (complete depolarisation), whereas 0.5 f v D 1 indicates a net flavour conversion. Figure adapted from Ref. [145].
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Figure 5. Schematic diagram denoting different regions of flavour conversion inside an SN envelope. Figure adapted from Ref. [188].
Figure 5. Schematic diagram denoting different regions of flavour conversion inside an SN envelope. Figure adapted from Ref. [188].
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Sen, M. Supernova Neutrinos: Flavour Conversion Mechanisms and New Physics Scenarios. Universe 2024, 10, 238. https://doi.org/10.3390/universe10060238

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Sen M. Supernova Neutrinos: Flavour Conversion Mechanisms and New Physics Scenarios. Universe. 2024; 10(6):238. https://doi.org/10.3390/universe10060238

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Sen, Manibrata. 2024. "Supernova Neutrinos: Flavour Conversion Mechanisms and New Physics Scenarios" Universe 10, no. 6: 238. https://doi.org/10.3390/universe10060238

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