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Article

Simulations and Modeling of Intermediate Luminosity Optical Transients and Supernova Impostors

Department of Physics, Ariel University, P.O. Box 3, Ariel 40700, Israel
Galaxies 2018, 6(3), 82; https://doi.org/10.3390/galaxies6030082
Submission received: 23 June 2018 / Revised: 30 July 2018 / Accepted: 30 July 2018 / Published: 1 August 2018
(This article belongs to the Special Issue Asymmetric Planetary Nebulae VII)

Abstract

:
More luminous than classical novae, but less luminous than supernovae, lies the exotic stellar eruptions known as Intermediate luminosity optical transients (ILOTs). They are divided into a number of sub-groups depending on the erupting progenitor and the properties of the eruption. A large part of the ILOTs is positioned on the slanted Optical Transient Stripe (OTS) in the Energy-Time Diagram (ETD) that shows their total energy vs. duration of their eruption. We describe the different kinds of ILOTs that populate the OTS and other parts of the ETD. The high energy part of the OTS hosts the supernova impostors—giant eruptions (GE) of very massive stars. We show the results of the 3D hydrodynamical simulations of GEs that expose the mechanism behind these GEs and present new models for recent ILOTs. We discuss the connection between different kinds of ILOTs and suggest that they have a common energy source—gravitational energy released by mass transfer. We emphasize similarities between Planetary Nebulae (PNe) and ILOTs, and suggest that some PNe were formed in an ILOT event. Therefore, simulations used for GEs can be adapted for PNe, and used to learn about the influence of the ILOT events on the central star of the planetary nebula.

1. Introduction

Intermediate luminosity optical transients (ILOTs) are exotic transients which fall in between the luminosities of novae and supernovae (SN). The group consists of many different astronomical eruptions that, at first, appear to look different from one another but are found to have shared properties. The ILOTs are discussed in this paper and many more are classified according to their total energy and eruption timescale (see Section 2) using a tool named the energy-time diagram (ETD). Most ILOTs reside on the optical transient stripe (OTS) on the ETD that gives us information about the power involved in the eruption and its magnitude. Figure 1 shows the ETD with many ILOTs positioned on the OTS. An extended version can be found on http://phsites.technion.ac.il/soker/ilot-club/. The different kinds of ILOTs are described in Section 3. In Section 4, we discuss simulations for the massive kind of ILOTs and its relevance to the study of Planetary Nebulae (PNe). Our summary and discussion appear in Section 5.

2. Common Properties of ILOTs

In reference [7], we noticed that when scaling the time axis for ILOTs of the three kinds, there is an amazing similarity in the light curve surfaces. From the peak or peaks of the light cuve, the decline in the optical bands with time is similar over almost four magnitudes. This could not be a coincidence, and a common physical mechanism must have been involved in all ILOTs, one that resulted in a similar decline.
The high-accretion-powered ILOT (HAPI) model is a model that aims to focus on the shared properties of many of the ILOTs. In its present state, the model accounts for the source and the amount of energy involved in the events and their timescales. The step of obtaining the exact decline rates of the events has not yet been performed and is currently in progress.
The HAPI model was built on the premise that the luminosity of an ILOT comes from the gravitational energy of accreted mass that is partially channeled to radiation. The radiation is eventually emitted in the visible spectrum, possibly after scattering and/or absorption and re-emission.
To quantitatively obtain the power of the transients, we started by defining M a and R a as the mass and radius (respectively) of star ‘a’, which accretes the mass. Star ‘b’ is the one that supplies the mass to the accretion; it is possibly a destructed MS star, as in Luminous Red Novae (LRN), or alternatively, an evolved star in an unstable evolutionary phase during which it loses a huge amount of mass, as in the giant eruptions (GEs) of η Car. The average total gravitational power is obtained by multiplying the average accretion rate and the potential well of the accreting star:
L G = G M a M a ˙ R a .
The accreted mass may form an accretion disk or a thick accretion belt around star ‘a’. In the case of a merger event, this belt consists of the destructed star. The accretion time should be longer than the viscosity time scale for the accreted mass to lose its angular momentum, so it can be actually accreted. The viscosity timescale is scaled according to
t visc R a 2 ν 73 α 0.1 1 H / R a 0.1 1 C s / v ϕ 0.1 1 R a 5 R 3 / 2 M a 8 M 1 / 2 days ,
where H is the thickness of the disk, C s is the sound speed, α is the disk viscosity parameter, ν = α C s H is the viscosity of the disk, and v ϕ is the Keplerian velocity. M a and R a are scaled in Equation (2) according to the parameters of V838 Mon [8]. For these parameters, the ratio of viscosity to the Keplerian timescale is χ t visc / t K 160 .
The accreted mass is determined by the details of the binary interaction process and varies for different objects. It is scaled by by M acc = η a M a . As we have learnt from modeled systems (e.g., V838 Mon, V 1309 Sco, η Car), η a 0.1 with a large variation. The value of η a 0.1 can be understood as follows. If the MS star collides with a star and tidally disrupts it, as in the model for V838 Mon [9,10], the destructed star is likely to be less massive than the accretor M acc < M b 0.3 M a . In another possible case, an evolved star loses a huge amount of mass, but the accretor gains only a small fraction of the ejected mass, as in the great eruption of η Car.
The viscosity time scale gives an upper limit for the rate of accretion:
M a ˙ < η a M a t visc 4 η a 0.1 α 0.1 H / R a 0.1 C s / v ϕ 0.1 R a 5 R 3 / 2 M a 8 M 3 / 2 M yr 1 .
The maximum gravitational power is, therefore,
L G < L max = G M a M a ˙ R a 7.7 × 10 41 η a 0.1 χ 160 1 R a 5 R 5 / 2 M a 8 M 5 / 2 erg s 1 ,
where the parameters of the viscosity time scale are replaced with the ratio of the viscosity to the Keplerian time ( χ ).
The top line of the OTS is calculated according to Equation (4), and describes a supper-Eddington luminosity. The top line might be crossed by some ILOTs if the accretion efficiency ( η ) is higher or if the parameters of the accreting star are different. For most of the ILOTs, the accretion efficiency is lower; hence, they are located below that line, giving rise to the relatively large width of the OTS. The uncertainty in η a is not small, but rarely crosses 1. Therefore, one does not expect to find objects above the upper limit indicated by the top line of the OTS very frequently. We also note that the above estimate was performed with the expressions relevant to a thin disk, and a thick disk may need different treatment. More accurate treatment requires hydrodynamic simulations together with radiation transfer to obtain the radiation emitted in each waveband.

3. Types of ILOTs

In recent years, the literature has been far from consistent in referring to transient events. Since many ILOTs are being discovered, the time has arrived for everyone to converge on one naming scheme that will eliminate any ambiguity. In reference [11], we picked up the gauntlet and suggested a complete set of names for the new types of transients. Since then, there have been developments in the field, and new types have been suggested. Therefore, we hereby update the classification scheme of ILOTs.
A. Type I ILOTs. Type I ILOTs is the term for the combination of the three groups listed below: ILRT, LRN, and SN impostors (GEs of LBV). These events share many common physical processes. In particular, they are powered by gravitational energy released in a high-accretion rate event, according to the high-accretion-powered ILOT (HAPI) model discussed below. The condition for an ILOT to be classified as type I is that the observing direction is such that the ILOT is not obscured from the observer by an optically thick medium.
  • ILRT: Intermediate Luminosity Red Transients. Events involving evolved stars, such as Asymptotic Giant Branch (AGB) stars and similar objects, such as stars on the Red Giant Branch (RGB). The scenario which leads to these events is most probably a companion which accretes mass and the gravitational energy of the accreted mass supplies the energy of the eruption. Examples include NGC 300 OT, SN 2008S, and M31LRN 2015 (note the self-contradiction in the names of the last two transients).
  • GEs: Giant Eruptions. Eruptive events of Luminous Blue Variables (LBVs) or other kinds of very massive stars (VMS), also known as SN impostors. We note that the weaker eruptions of LBVs, known as S Dor eruptions, are not included. From all ILOTs, these GEs are the ones with the highest energy. The energy released in one or in a sequence of these GEs can reach a few × 10 49 erg. Examples include the seventeenth century GE of P Cyg, the nineteenth century GEs of η Car, and the pre-explosion eruptions of SN 2009ip. ILRTs are the low mass relatives of LBV GEs.
  • LRN (or RT): Luminous Red Novae or Red Transients or Merger-Bursts. Refers to a quite diverse group. These transients are powered by a complete merger of two stars. The eruption can be preceded by a characteristic merger light-curve, as was observed for V1309 Sco. During the eruption, the observer sees a process of destruction of the less compressed star onto the denser star which is accompanied by the release of gravitational energy that powers the transient. Examples for LRN include V838 Mon and V1309 Sco and possibly, the more massive eruption NGC 4490-OT.
B. Type II ILOTs. Since most ILOTs are non-spherically-symmetric eruptions, it is possible that the same event would be observed differently only because it has a different orientation in the sky. In a recent work, reference [12], a new type of binary-powered ILOT was suggested, referred to as Type II ILOT. For Type II ILOTs, the line of sight to the observer intersects a thick dust torus or shell which hides or severely attenuates a direct view of the binary system or the photosphere of the merger product. Type II ILOT may take place in the presence of a strong binary interaction such as a periastron passage in an eccentric orbit causing strong tidal effects that trigger the eruption of a star which is unstable it its outer layers. The interaction leads to an axisymmetrical mass ejection which significantly departs from spherical symmetry. This is much like the morphologies of many planetary nebulae (e.g., references [13,14,15,16,17]). In most cases, the obscuring matter would reside in equatorial directions. The binary system will be obscured to the observer in the optical and IR bands as long as the dust has not dissipated. The type II ILOT is accompanied by some polar mass ejection that may also form dust. The dust in the polar directions reprocesses the radiation that arrives from the central source, and by doing so, enables the observation of the type II ILOT which becomes much fainter. A possible example is the outburst observed from the red supergiant N6946-BH1 in 2009 [18].
C. Proposed scenarios for ILOTs. Other types of ILOTs have been suggested to exist and populate empty regions of the ETD.
  • Weaker Mergerburst between a planet and a brown dwarf (BD). It was suggested that in such a scenario the planet is shredded into a disk around the BD, and the energy from accretion lead to an outburst [5]. The destruction of the planet before it plunges into the BD may occur since its average density is smaller than the average density of the BD it encounters. The planet must enter the tidal radius of the BD for the scenario to be applicable. That may occur if the planet is in a highly eccentric orbit and gets perturbed. Once the planet is destructed as a result of the sequence of events, the remnant of the merger will resamble other LRNs, but on a shorter time scale and smaller energy. Nevertheless, this process is super Eddington. Mergerbursts between a planet and a BD occupy the lower part of the OTS on the ETD.
  • Weak Outburst of a Young Stellar Object (YSO). In reference [6], it was suggested that the unusual outburst of the YSO ASASSN-15qi [19] is an ILOT event, similar in many respects to LRN events, such as V838 Mon, but much fainter and of lower total energy. The erupting system was young, but unlike the LRN, the secondary object that was tidally destroyed onto the primary main sequence (MS) star that was suggested to be a Saturn-like planet instead of a low mass MS companion. Such ILOTs are unusual in the sense that they have low power and reside below the OTS. These outbursts are related to FUor outbursts (e.g., reference [20]), which are pre-MS that experience an extreme change in magnitude with slow (years) decline and spectral type. They can be regarded as the more energetic counterparts of the EXor class of outburst, of which EX Lupis is a prototype [21]. These are pre-MS variables that show flares of a few months to a few years and of several magnitudes of amplitude as a result of episodic mass accretion. Another transient, ASASSN-13db [22], may also be a related object.
  • ILOT which created a Planetary Nebulae (PN). In reference [4] we identified some intriguing similarities between PNe and ILOTs: (a) a linear velocity–distance relation; (b) a bipolar structure; (c) a total kinetic energy of ≈ 10 46 10 49 erg. We therefore suggest that some PNe may have formed in an ILOT event lasting a few months (a short “lobe-forming” event). The power source is similar, namely, mass accretion onto a MS companion from the AGB (or ExAGB). The velocity of the fastest gas parcels in such an outburst will be in the order of the escape speed of the MS star, namely a few × 100 km s 1 , though most of the gas is expected to interact with the AGB wind and slow down to a few × 10 km s 1 . Examples include the PN NGC 6302, the pre-PNe OH231.8+4.2, M1-92, and the IRAS 22036+5306. This process was demonstrated in simulations [23], in which a very short impulsive mass ejection event from a binary system, namely an ILOT, developed a PN with clumpy lobes, quite similar to NGC 6302.

4. GEs in Very Massive Stars

As mentioned above, the most energetic ILOTs are the GEs of LBVs. There is some controversy about the identification of the stars which undergo GE with LBVs, so for safety, we will refer to them as Very Massive Stars or VMS.
GEs in VMSs may occur as a result of an interaction with a binary [24]. A similar process is involved in other types of ILOTs, as discussed above. GE in VMSs may create an accretion disk around the companion, which, in turn, blows jets that shape the ambient gas into bipolar lobes. The mechanism that causes the eruption has an interesting similarity to asymmetric PNe. Many PNe are formed by binary interactions and jets, a process that was suggested two decades ago [25,26,27]. This process has been observed in PPNe, with examples ranging from the discovery of the butterfly-shaped PPN IRAS 17106-3046 that shows a disk and a bipolar outflow [28], and Hen 2-90 with bipolar morphology and indication of a disk-jet operation [29], to recent detailed observations of the PPN IRAS 16342-3814 that allowed constraints to be out on the mass accretion rate and the accretion channel [30]. Many more examples can be found in reference [31]. Numerical simulations have shown that jets from a companion can interact with the wind of the AGB to form a bipolar PN [32], or a multi-polar PN [33], and more modern simulations have even demonstrated the formation of a ‘messy’ PN lacking any type of symmetry, also known as a highly irregular PN, and other simulations have emphasized the large variety of morphological features that can be formed by jets [34,35].
In reference [36], we used the hydro code FLASH [37] to model the response of a massive star to a high mass loss episode. The hydro simulation started with the results of a run of a modified version of the 1D stellar evolution code MESA [38,39,40,41] in which we obtained a model of an evolved VMS. The MESA obtained stellar model had properties similar to those of η Car. We hydrodynamically simulated a GE with the FLASH code using two approaches: (1) manually removal of a layer from the star, taking the energy required for the process inner layers; and (2) transferring energy from the VMS core to outer layers, which, in turn, caused a spontaneous mass loss. We found that the star developed a strong wind, powered by pulsation in the inner parts of the star. The strong eruptive mass loss phase lasted for a few years, followed by centuries of continually weakening mass loss. Figure 2 shows the resulting mass loss rate over time after the initiation of the GE. The three different lines indicate different simulations with different amount sof mass removed from the VMS. After about two centuries, the mass loss rate of the star declined quite dramatically. The explanation for this behavior is the change in the stellar structure as a response to the huge mass loss in the simulated GE and the two hundred years of high mass loss that followed. At a certain time, the structure became such that the mechanism that accelerated the wind—non-adiabatic κ -mechanism pulsations induced near the iron-bump—stopped being efficient. At that point, the rate of mass loss decreased. The decline in the observed rate of mass loss rate has been observed in η Car over the last two decades. Variations in the spectral properties of the star, especially near the periastron passage and across the spectroscopic event, have taught us that this change-of-state has been happening [42,43,44]. However the reason for it was, at first, unknown until the simulations in reference [36] revealed the physical mechanisms and demonstrated its work.
In follow up simulations we were able to use super-high resolution to simulate a GE in 3D for the first time. The purpose of doing so was to investigate multidimensional effects that cannot be completely or at all addressed otherwise, namely, convection and mixing, rotation, turbulence, hydrodynamical instabilities, meridional currents, tides, and especially, multi-dimensional pulsation. These effects are known to considerably influence the stellar properties, and therefore, we expect them to have significant impacts on how a VMS recovers from a GE.
Figure 3 shows the stellar properties as a function of time after the GE. In the 3D simulations, we found that the pulsations behaved much more chaotically and were much less coherent than in the 1D simulations. The three spatial degrees of freedom in the 3D simulation engendered destructive interference of the pulsations (the chance of creating a constructive interference is low) that damped the waves before they reached the surface and ejected mass. As a result, the mass-loss rate obtained after the GE was smaller (Figure 2), and during the period spanning the first few years after the eruption, the VMS reached an almost stable hydrostatic equilibrium.
In reference [24], we suggested that major LBV eruptions are triggered by binary interactions. The possibly most problematic example to be considered as a refute of our claim is P Cygni, as it was previously believed to be a single star which underwent such an GE in the seventeenth century. However, reference [45] showed that even the GEs of P Cygni presented evidence of a binary interaction, printed in the varying time gaps between its consequent eruptions in the seventeenth century. Recently, reference [46] used observations of P Cygni spanning over seven decades along with signal processing methods to identify a periodicity in the stellar luminosity. The period they found is a possible indication for the presence of the companion suggested by reference [45] on the basis of theoretical arguments. This gives support to the conjecture that probably all major eruptions in VMSs are triggered by interactions with a secondary star.

5. Summary and Discussion

We discussed different types of ILOTs and categorized them in a manner that gives order to the confused nomenclature in the field. We reviewed commonalities between these types and the HAPI model that suggest they are all gravitationally powered. We showed simulations of the most massive and energetic outbursts that consist of the ILOTs group, the GEs in VMSs. The simulations explained the mechanism for this as being the strong mass loss after the GEs, which accounts for the change of state in the mass loss more than 100 years after the eruption.
Since the physical process for GE in VMSs and many asymmetric PNe—accretion onto a secondary star and jet launching—is similar, hydrodynamical simulations performed for one of them, can relatively easy be adapted and used for the other. The simulations presented here for the recovery of a VMS after a GE can be modified to simulate how the AGB star responds to a large mass loss event as a result of interaction with a companion star. Simulations have so far only modeled the AGB wind, or, at best, the outer layers of the AGB only, and not the entire star. Since, for VMSs, the timescales of the GEs are years to decades, and the recovery time is in the order of centuries, it would be plausible to predict that AGB stars also experience a recovery face that affects their centers, later to become the central star of Planetary Nebulae.

Funding

This research received no external funding.

Acknowledgments

I thank Noam Soker, Amir Michaelis and anonymous referees for helpful comments. I acknowledge Support from the the Authority for Research & Development and the Rector of Ariel University. This work used the Extreme Science and Engineering Discovery Environment (XSEDE) TACC/Stampede2 through allocation TG-AST150018. This work used resources of the Cy-Tera Project, co-funded by the European Regional Development Fund and the Rep. of Cyprus through the Research Promotion Foundation.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
AGBAsymptotic Giant Branch
ASASSNAll-Sky Automated Survey for Supernovae
BDBrown Dwarf
CSPNCentral Star of Planetary Nebula
ETDEnergy-Time Diagram
GEGiant Eruption
HAPIHigh Accretion Powered ILOT
ILOTIntermediate Luminosity Optical Transient
ILRTIntermediate Luminosity Red Transient
LBVLuminous Blue Variable
LRNLuminous Red Nova
MESAModules for Experiments in Stellar Astrophysics
MSMain Sequence
OTSOptical Transient Stripe
PNPlanetary Nebulae
SNSupernova
VMSVery Massive Star
YSOYoung Stellar Object

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Figure 1. Intermediate luminosity optical transients (ILOTs) on the energy-time diagram (ETD). The abscissa represents the eruption timescale, usually the time for Δ V = 3 mag. The ordinate represents the eruption energy. The blue empty circles represent the total (radiated + kinetic) energy. The black asterisk represents the total available energy (modeled value for some ILOTs). The optical transient stripe is populated by ILOT events powered by gravitational energy or complete merger events or vigorous mass transfer events. Novae models are marked with a green line [1] with red crosses [2] or with diamonds [3]. The four horizontal lines show Planetary Nebulae (PNe) and Proto Planetary Nebulae (PPNe). that might have been formed by ILOT events [4]. Merger models of a planet with a planet or a brown dwarf (BD) star [5] are presented on the left, along with models we added for smaller merging planet with a mass of 0.1 M J . The lower-left part (hatched in green) is our extension for younger objects [6], including ASASSN-15qi (red square), where the planets are of lower density and can more easily undergo tidal destruction.
Figure 1. Intermediate luminosity optical transients (ILOTs) on the energy-time diagram (ETD). The abscissa represents the eruption timescale, usually the time for Δ V = 3 mag. The ordinate represents the eruption energy. The blue empty circles represent the total (radiated + kinetic) energy. The black asterisk represents the total available energy (modeled value for some ILOTs). The optical transient stripe is populated by ILOT events powered by gravitational energy or complete merger events or vigorous mass transfer events. Novae models are marked with a green line [1] with red crosses [2] or with diamonds [3]. The four horizontal lines show Planetary Nebulae (PNe) and Proto Planetary Nebulae (PPNe). that might have been formed by ILOT events [4]. Merger models of a planet with a planet or a brown dwarf (BD) star [5] are presented on the left, along with models we added for smaller merging planet with a mass of 0.1 M J . The lower-left part (hatched in green) is our extension for younger objects [6], including ASASSN-15qi (red square), where the planets are of lower density and can more easily undergo tidal destruction.
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Figure 2. Mass-loss rate as a function of time for runs using the 120 M VMS model and approaching 1 for initiating a GE. The three different lines indicate different simulations with different amounts of mass removed from the VMS. Two of the runs (the blue and black lines) show a change of state in the mass loss rate of about ≈130 and ≈190 years (respectively) after the GE started. The simulations reproduced the decline in mass loss observed in η Car in previous years, (∼175 years after its great eruption), during which the rate of mass loss has been declining by a factor of 2–4 (and possibly, continues to decline).
Figure 2. Mass-loss rate as a function of time for runs using the 120 M VMS model and approaching 1 for initiating a GE. The three different lines indicate different simulations with different amounts of mass removed from the VMS. Two of the runs (the blue and black lines) show a change of state in the mass loss rate of about ≈130 and ≈190 years (respectively) after the GE started. The simulations reproduced the decline in mass loss observed in η Car in previous years, (∼175 years after its great eruption), during which the rate of mass loss has been declining by a factor of 2–4 (and possibly, continues to decline).
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Figure 3. Results of one of our 3D simulations showing the recovery of a non-rotating VMS of 120 M after removing an outer layer of 6 M according to approach 2 (as a result of extracting energy from the core). From top to bottom, the panels show the stellar radius, effective temperature, luminosity, mass, Eddington ratio, and mass-loss rate. The temperature, radius, and luminosity were calculated at an optical depth of τ = 3 . This figure can be compared to the right panel of Figure 3 in [36] which shows the equivalent 1D simulation. In this 3D simulation, the first few years after the eruption bring the star to an almost stable hydrostatic equilibrium. The mass-loss rate is roughly two orders of magnitude smaller than that in the 1D simulation. Although the results of this preliminary work are still under study, they are probably due to the lower coherency of the pulsations in the 3D, compared to the 1D, simulation. The three spatial degrees of freedom engender destructive interference of the pulsations that damp the waves before they reach the surface and eject mass.
Figure 3. Results of one of our 3D simulations showing the recovery of a non-rotating VMS of 120 M after removing an outer layer of 6 M according to approach 2 (as a result of extracting energy from the core). From top to bottom, the panels show the stellar radius, effective temperature, luminosity, mass, Eddington ratio, and mass-loss rate. The temperature, radius, and luminosity were calculated at an optical depth of τ = 3 . This figure can be compared to the right panel of Figure 3 in [36] which shows the equivalent 1D simulation. In this 3D simulation, the first few years after the eruption bring the star to an almost stable hydrostatic equilibrium. The mass-loss rate is roughly two orders of magnitude smaller than that in the 1D simulation. Although the results of this preliminary work are still under study, they are probably due to the lower coherency of the pulsations in the 3D, compared to the 1D, simulation. The three spatial degrees of freedom engender destructive interference of the pulsations that damp the waves before they reach the surface and eject mass.
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Kashi, A. Simulations and Modeling of Intermediate Luminosity Optical Transients and Supernova Impostors. Galaxies 2018, 6, 82. https://doi.org/10.3390/galaxies6030082

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Kashi A. Simulations and Modeling of Intermediate Luminosity Optical Transients and Supernova Impostors. Galaxies. 2018; 6(3):82. https://doi.org/10.3390/galaxies6030082

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Kashi, Amit. 2018. "Simulations and Modeling of Intermediate Luminosity Optical Transients and Supernova Impostors" Galaxies 6, no. 3: 82. https://doi.org/10.3390/galaxies6030082

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