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A method is developed for fitting theoretically predicted astronomical spectra to an observed spectrum. Using a hierarchical Bayesian principle, the method takes both systematic and statistical measurement errors into account, which has not…

Astrophysics · Physics 2008-11-26 Z. Shkedy , L. Decin , G. Molenberghs , C. Aerts

We present results using 2-D spectral imagery and photometry obtained with the Hubble Space Telescope (HST) for the starburst H II region, NGC 604, in nearby galaxy M33. The spectral imagery was acquired with the Space Telescope Imaging…

Astrophysics · Physics 2009-11-07 Fred C. Bruhweiler , Cherie L. Miskey , Margaret Smith Neubig

We present a study of the metal-poor (~6% Z_sun) massive (>8 M_sun) main-sequence star population in the star-forming dwarf galaxy Sextans A. By modeling near-UV to near-IR photometry of individual stars using the Bayesian Extinction and…

In this work, we explore several ways to detect possible exocomet transits in the TESS (The Transiting Exoplanet Survey Satellite) light curves. The first one has been presented in our previous work, a machine learning approach based on the…

Earth and Planetary Astrophysics · Physics 2026-02-04 D. V. Dobrycheva , I. V. Kulyk , D. R. Karakuts , M. Yu. Vasylenko , Ya. V. Pavlenko , O. S. Shubina , I. V. Luk'yanyk

Existing and upcoming instrumentation is collecting large amounts of astrophysical data, which require efficient and fast analysis techniques. We present a deep neural network architecture to analyze high-resolution stellar spectra and…

We use synthetic model spectra to investigate the potential of near-ultraviolet (3000-4050 \r{A}) observations of massive O-type stars. We highlight the He I $\lambda$3188 and He II $\lambda$3203 pair as a potential temperature diagnostic…

Solar and Stellar Astrophysics · Physics 2023-10-30 Chris Evans , Wagner Marcolino , Jean-Claude Bouret , Miriam Garcia

Aims. The aim is to derive accurate stellar distances and extinctions for young stars of our survey in the Galactic anticenter direction using the Str\"omgren photometric system. This will allow a detailed mapping of the stellar density and…

Solar and Stellar Astrophysics · Physics 2014-09-05 Maria Monguió , Francesca Figueras , Preben Grosbøl

We present precise photometric estimates of stellar parameters, including effective temperature, metallicity, luminosity classification, distance, and stellar age, for nearly 26 million stars using the methodology developed in the first…

The NASA Transiting Exoplanet Survey Satellite (TESS) is observing tens of millions of stars with time spans ranging from $\sim$ 27 days to about 1 year of continuous observations. This vast amount of data contains a wealth of information…

CONTEXT: The spectral analysis of hot, massive stars is a fundamental astrophysical method to obtain their intrinsic properties and their feedback. Quantitative spectroscopy for hot, massive stars requires detailed numerical modeling of the…

Aims. Having established the binary status of nineteen O-type stars located in four Cygnus OB associations, we now determine their fundamental parameters to constrain their properties and their evolutionary status. We also investigate their…

Solar and Stellar Astrophysics · Physics 2015-06-24 L. Mahy , G. Rauw , M. De Becker , P. Eenens , C. A. Flores

The Large Synoptic Survey Telescope will complete its survey in 2022 and produce terabytes of imaging data each night. To work with this massive onset of data, automated algorithms to classify astronomical light curves are crucial. Here, we…

Instrumentation and Methods for Astrophysics · Physics 2019-09-12 Tatiana Gabruseva , Sergey Zlobin , Peter Wang

The Transiting Exoplanet Survey Satellite (TESS) mission has provided photometric light curves for stars across nearly the entire sky. This allows for the application of asteroseismology to a pool of potential solar-like oscillators that is…

In the context of the space-based mission CoRoT, devoted to asteroseismology and search for planet transits, we analyse the accuracy of fundamental stellar parameters (mass, radius, luminosity) that can be obtained from asteroseismological…

Solar and Stellar Astrophysics · Physics 2015-05-13 C. Mulet-Marquis , I. Baraffe , S. Aigrain , F. Pont

The plethora of spectra of OB-type stars in observatory archives and the much larger numbers to come from the WEAVE and 4MOST spectroscopic facilities require efficient, but also accurate and precise methods for (semi)automatic quantitative…

Solar and Stellar Astrophysics · Physics 2026-04-06 P. Aschenbrenner , N. Przybilla

Machine learning allows efficient extraction of physical properties from stellar spectra that have been obtained by large surveys. The viability of ML approaches has been demonstrated for spectra covering a variety of wavelengths and…

Context: During the past years photometric surveys, later complemented by follow-up radial-velocity measurements, have revealed the presence of several new extra-solar transiting planets, in very short period orbits. Many of the host stars…

Astrophysics · Physics 2009-11-11 N. C Santos , F. Pont , C. Melo , G. Israelian , F. Bouchy , M. Mayor , C. Moutou , D. Queloz , S. Udry , T. Guillot

Context. Current implementations of mass loss for hot, massive stars in stellar evolution models include a sharp increase in mass loss when blue supergiants become cooler than Teff 20-22kK. This drastic mass-loss jump has been motivated by…

Asteroseismology has the capability of delivering stellar properties which would otherwise be inaccessible, such as radii, masses and thus ages of stars. When coupling this information with classical determinations of stellar parameters,…

Solar and Stellar Astrophysics · Physics 2015-06-22 Luca Casagrande

Determining the physical parameters of pulsating variable stars such as RR Lyrae is essential for understanding their internal structure, pulsation mechanisms, and evolutionary state. In this study, we present a machine learning framework…

Solar and Stellar Astrophysics · Physics 2025-07-08 Nitesh Kumar , Harinder P. Singh , Oleg Malkov , Santosh Joshi , Kefeng Tan , Philippe Prugniel , Anupam Bhardwaj