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Helioseismology has enabled us to better understand the solar interior, while also allowing us to better constrain solar models. But now is a tremendous epoch for asteroseismology as space missions dedicated to studying stellar oscillations…

Solar and Stellar Astrophysics · Physics 2015-05-14 S. Mathur , R. A. Garcia , C. Regulo , O. L. Creevey , J. Ballot , D. Salabert , T. Arentoft , P. -O. Quirion , W. J. Chaplin , H. Kjeldsen

Asteroseismology involves using the resonant frequencies of a star to infer details about its internal structure and evolutionary state. Oscillation frequencies are most useful when accompanied by accurate measurements of the more…

Astrophysics · Physics 2007-05-23 Timothy R. Bedding

Time-resolved photometry of tens of thousands of red giant stars from space missions like Kepler and K2 has created the need for automated asteroseismic analysis methods. The first and most fundamental step in such analysis, is to identify…

Solar and Stellar Astrophysics · Physics 2018-05-28 Marc Hon , Dennis Stello , Joel C. Zinn

Recent and forthcoming advances in instrumentation, and giant new surveys, are creating astronomical data sets that are not amenable to the methods of analysis familiar to astronomers. Traditional methods are often inadequate not merely…

Instrumentation and Methods for Astrophysics · Physics 2024-01-30 Meyer Z. Pesenson , Isaac Z. Pesenson , Bruce McCollum

We develop a novel method based on machine learning principles to achieve optimal initiation of CPU-intensive computations for forward asteroseismic modeling in a multi-D parameter space. A deep neural network is trained on a precomputed…

Solar and Stellar Astrophysics · Physics 2019-08-29 Luc Hendriks , Conny Aerts

Asteroseismology is well-established in astronomy as the gold standard for determining precise and accurate fundamental stellar properties like masses, radii, and ages. Several tools have been developed for asteroseismic analyses but many…

Solar and Stellar Astrophysics · Physics 2021-09-08 Ashley Chontos , Daniel Huber , Maryum Sayeed , Pavadol Yamsiri

The asteroseismic analysis of stellar power density spectra is often computationally expensive. The models used in the analysis may use several dozen parameters to accurately describe features in the spectra caused by oscillation modes and…

Solar and Stellar Astrophysics · Physics 2023-08-23 M. B. Nielsen , G. R. Davies , W. J. Chaplin , W. H Ball , J. M. J. Ong , E. Hatt , B. P. Jones , M. Logue

We describe the application of data mining algorithms to research problems in astronomy. We posit that data mining has always been fundamental to astronomical research, since data mining is the basis of evidence-based discovery, including…

Instrumentation and Methods for Astrophysics · Physics 2009-11-04 Kirk Borne

Observations of stellar activity cycles provide an opportunity to study magnetic dynamos under many different physical conditions. Space-based asteroseismology missions will soon yield useful constraints on the interior conditions that…

Astrophysics · Physics 2009-06-23 T. S. Metcalfe , W. A. Dziembowski , P. G. Judge , M. Snow

We propose a new kind of seismic diagram, based on the determination of the locations of sharp acoustic features inside a star. We show that by combining the information about the position of the base of the convective envelope or the…

Astrophysics · Physics 2010-12-09 Anwesh Mazumdar

Owing to the remarkable photometric precision of space observatories like Kepler, stellar and planetary systems beyond our own are now being characterized en masse for the first time. These characterizations are pivotal for endeavors such…

Solar and Stellar Astrophysics · Physics 2017-04-03 Earl P. Bellinger , George C. Angelou , Saskia Hekker , Sarbani Basu , Warrick Ball , Elisabeth Guggenberger

We discuss how recent advances in observations, theory and numerical simulations have allowed the stellar community to progress in its understanding of stellar convection, rotation and magnetism and to assess the degree to which the Sun and…

Solar and Stellar Astrophysics · Physics 2015-03-24 A. S. Brun , R. A. Garcia , G. Houdek , D. Nandy , M. Pinsonneault

The Kepler space telescope yielded unprecedented data for the study of solar-like oscillations in other stars. The large samples of multi-year observations posed an enormous data analysis challenge that has only recently been surmounted.…

Today, asteroseismology is entering in its golden age thanks to the observations provided by the CoRoT and Kepler space missions. In particular, we will make significant progresses in the understanding of the structure and evolution of…

Solar and Stellar Astrophysics · Physics 2011-01-04 R. A. Garcia

Why bother with asteroseismology while studying exoplanets? There are several answers to this question. Asteroseismology and exoplanetary sciences have much in common and the synergy between the two opens up new aspects in both fields.…

Solar and Stellar Astrophysics · Physics 2017-03-08 A. Moya

Constraining stellar models using asteroseismic and spectroscopic observations is a powerful method for precisely determining the fundamental properties of stars in different kinematic components of our galaxy. We use spectroscopy and…

Solar and Stellar Astrophysics · Physics 2026-03-05 Christopher J. Lindsay , J. M. Joel Ong , Sarbani Basu , Samuel Grunblatt , Marc Hon

Data assimilation addresses the general problem of how to combine model-based predictions with partial and noisy observations of the process in an optimal manner. This survey focuses on sequential data assimilation techniques using…

Numerical Analysis · Mathematics 2019-08-15 Sebastian Reich

Star-galaxy classification is one of the most fundamental data-processing tasks in survey astronomy, and a critical starting point for the scientific exploitation of survey data. For bright sources this classification can be done with…

Instrumentation and Methods for Astrophysics · Physics 2013-07-30 Marc Henrion , Daniel J. Mortlock , David J. Hand , Axel Gandy

Data assimilation is a central problem in many geophysical applications, such as weather forecasting. It aims to estimate the state of a potentially large system, such as the atmosphere, from sparse observations, supplemented by prior…

Machine Learning · Computer Science 2024-06-24 Matthieu Blanke , Ronan Fablet , Marc Lelarge
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