Mode Classification in Fast-Rotating Stars using a Convolutional Neural Network: Model-Based Regular Patterns in $\delta$ Scuti Stars
| Autor: | George C. Angelou, Daniel R. Reese, Guglielmo Costa, G. M. Mirouh |
|---|---|
| Přispěvatelé: | Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA (UMR_8109)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Physics
Work (thermodynamics) 010308 nuclear & particles physics Oscillation Mode (statistics) Astronomy and Astrophysics Astrophysics 01 natural sciences Convolutional neural network Spectral line Stars Astrophysics - Solar and Stellar Astrophysics Space and Planetary Science 0103 physical sciences sort Astrophysics::Solar and Stellar Astrophysics [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] 010303 astronomy & astrophysics Scaling ComputingMilieux_MISCELLANEOUS |
| Zdroj: | Monthly Notices of the Royal Astronomical Society: Letters Monthly Notices of the Royal Astronomical Society: Letters, Oxford Journals, 2019, 483 (1), pp.L28-L32. ⟨10.1093/mnrasl/sly212⟩ |
| ISSN: | 1745-3933 |
| DOI: | 10.1093/mnrasl/sly212⟩ |
| Popis: | Oscillation modes in fast-rotating stars can be split into several subclasses, each with their own properties. To date, seismology of these stars cannot rely on regular pattern analysis and scaling relations. However, recently there has been the promising discovery of large separations observed in spectra of fast-rotating $\delta$ Scuti stars: they were attributed to the island-mode subclass, and linked to the stellar mean density through a scaling law. In this work, we investigate the relevance of this scaling relation by computing models of fast-rotating stars and their oscillation spectra. In order to sort the thousands of oscillation modes thus obtained, we train a convolutional neural network isolating the island modes with 96\% accuracy. Arguing that the observed large separation is systematically smaller than the asymptotic one, we retrieve the observational $\Delta\nu - \overline{\rho}$ scaling law. This relation will be used to drive forward modelling efforts, and is a first step towards mode identification and inversions for fast-rotating stars. Comment: 6 pages, 6 figures, accepted for publication in Monthly Notices of the Royal Astronomical Society Letters |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|