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Engineering Proceedings
Volume 18
Issue 1
10.3390/engproc2022018042
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Proceeding Paper

Coarse Grain Spectral Analysis for the Low-Amplitude Signature of Multiperiodic Stellar Pulsators †

by
Sebastià Barceló Forteza
1,*,
Javier Pascual-Granado
2,
Juan Carlos Suárez
1,
Antonio García Hernández
1 and
Mariel Lares-Martiz
2
1
Department of Theoretical Physics and Cosmology, University of Granada (UGR), 18071 Granada, Spain
2
Instituto de Astrofísica de Andalucía (CSIC), Glorieta de la Astronomía s/n, 18008 Granada, Spain
*
Author to whom correspondence should be addressed.
†
Presented at the 8th International Conference on Time Series and Forecasting, Gran Canaria, Spain, 27–30 June 2022.
Eng. Proc. 2022, 18(1), 42; https://doi.org/10.3390/engproc2022018042
Published: 22 August 2022
(This article belongs to the Proceedings of The 8th International Conference on Time Series and Forecasting)
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Abstract

Coarse Grain Spectral Analysis (CGSA) can explain the possible multiscaling nature of the thousands of low-amplitude peaks observed in the power spectra of some pulsating stars. Space-based observations allowed for the scientific community to find this kind of structure thanks to their long-duration, high-photometric precision and duty cycle compared to observations from the ground. Although these time series are far from perfect (outliers, trends, gaps, etc.), we used our own data preprocessing method, known as the 2K+1 stage interpolation method, to improve the background noise up to a factor 14, avoiding spurious effects. We applied both techniques, the 2K+1 stage method and the CGSA analysis, to shed some light on a real problem regarding stellar seismology: finding the physical nature of the low-amplitude signature for multiperiodic stellar pulsators.
Keywords: time series analysis; data preprocessing methods; spectrum analysis; multiscaling; applications in real problem (stellar seismology) time series analysis; data preprocessing methods; spectrum analysis; multiscaling; applications in real problem (stellar seismology)

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MDPI and ACS Style

Barceló Forteza, S.; Pascual-Granado, J.; Suárez, J.C.; García Hernández, A.; Lares-Martiz, M. Coarse Grain Spectral Analysis for the Low-Amplitude Signature of Multiperiodic Stellar Pulsators. Eng. Proc. 2022, 18, 42. https://doi.org/10.3390/engproc2022018042

AMA Style

Barceló Forteza S, Pascual-Granado J, Suárez JC, García Hernández A, Lares-Martiz M. Coarse Grain Spectral Analysis for the Low-Amplitude Signature of Multiperiodic Stellar Pulsators. Engineering Proceedings. 2022; 18(1):42. https://doi.org/10.3390/engproc2022018042

Chicago/Turabian Style

Barceló Forteza, Sebastià, Javier Pascual-Granado, Juan Carlos Suárez, Antonio García Hernández, and Mariel Lares-Martiz. 2022. "Coarse Grain Spectral Analysis for the Low-Amplitude Signature of Multiperiodic Stellar Pulsators" Engineering Proceedings 18, no. 1: 42. https://doi.org/10.3390/engproc2022018042

APA Style

Barceló Forteza, S., Pascual-Granado, J., Suárez, J. C., García Hernández, A., & Lares-Martiz, M. (2022). Coarse Grain Spectral Analysis for the Low-Amplitude Signature of Multiperiodic Stellar Pulsators. Engineering Proceedings, 18(1), 42. https://doi.org/10.3390/engproc2022018042

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