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In the era of large time-domain spectro-photometric surveys, surface variations such as starspots, chemical inhomogeneities, pulsations, rotational distortions, and binary interactions can now be directly detected and modelled. Accurately…

Solar and Stellar Astrophysics · Physics 2025-11-17 M. Jabłońska , T. Różański , L. Casagrande , H. Shah , P. A. Kołaczek-Szymański , M. Rychlicki , Yuan-Sen Ting

I describe an approach to fitting and comparison of radio spectra based on Bayesian analysis and realised using a new implementation of the nested sampling algorithm. Such an approach improves on the commonly used maximum-likelihood fitting…

Instrumentation and Methods for Astrophysics · Physics 2009-12-14 Bojan Nikolic

Stellar spectral interpolation is critical technique employed by fitting software to derive the physical parameters of stars. This approach is necessary because on-the-go generation of synthetic stellar spectra is not possible due to the…

Solar and Stellar Astrophysics · Physics 2025-04-30 Nitesh Kumar , Philippe Prugniel , Harinder P. Singh

Data-driven models of stellar spectra are useful tools to study non-stellar information, such as the Diffuse Interstellar Bands (DIBs) caused by intervening interstellar material. Using $\sim 55000$ spectra of $\sim 17000$ red clump stars…

Astrophysics of Galaxies · Physics 2024-02-08 Kevin A. McKinnon , Melissa K. Ness , Constance M. Rockosi , Puragra Guhathakurta

Data and analysis methodology used for the SDSS/APOGEE Data Releases 13 and 14 are described, highlighting differences from the DR12 analysis presented in Holtzman (2015). Some improvement in the handling of telluric absorption and…

In this paper we describe the FIT\textit{spec} code, a data mining tool for the automatic fitting of synthetic stellar spectra. The program uses a database of 27\,000 {\sc cmfgen} models of stellar atmospheres arranged in a six-dimensional…

Aims: We provide an open-source code allowing an easy, intuitive, and robust normalisation of spectra. Methods: We developed RASSINE, a Python code for normalising merged 1D spectra through the concepts of convex hulls. The code uses six…

Solar and Stellar Astrophysics · Physics 2020-08-12 Michael Cretignier , Jérémie Francfort , Xavier Dumusque , Romain Allart , Francesco Pepe

We present literature on abundance determinations in planetary nebulae (PN) as well as public tools that can be used to derive them. Concerning direct methods to derive abundances we discuss in some depth such issues as reddening…

Astrophysics of Galaxies · Physics 2023-12-05 Grazyna Stasinska

Interstellar molecules, which play an important role in astrochemistry, are identified using observed spectral lines. Despite the advent of spectral analysis tools in the past decade, the identification of spectral lines remains a tedious…

Astrophysics of Galaxies · Physics 2025-02-07 Yisheng Qiu , Tianwei Zhang , Thomas Möller , XueJian Jiang , Zihao Song , Huaxi Chen , Donghui Quan

Data-driven models, which apply machine learning to infer physical properties from large quantities of data, have become increasingly important for extracting stellar properties from spectra. In general, these methods have been applied to…

Solar and Stellar Astrophysics · Physics 2024-02-09 Logan Sizemore , Diego Llanes , Marina Kounkel , Brian Hutchinson , Keivan G. Stassun , Vedant Chandra

The advent of large-scale spectroscopic surveys underscores the need to develop robust techniques for determining stellar properties ("labels", i.e., physical parameters and elemental abundances). However, traditional spectroscopic methods…

Earth and Planetary Astrophysics · Physics 2019-05-15 Aida Behmard , Erik A. Petigura , Andrew W. Howard

In the past years we have made great efforts to reduce the statistical and systematic uncertainties in stellar parameter and chemical abundance determinations of early B-type stars. Both the construction of robust model atoms for non-LTE…

Solar and Stellar Astrophysics · Physics 2009-02-18 Maria-Fernanda Nieva , Norbert Przybilla

Spectroscopy of planetary nebulae (PNe) provides the means to investigate s-process enrichments of neutron(n)-capture elements that cannot be detected in asymptotic giant branch (AGB) stars. However, accurate abundance determinations of…

Parameterized partial differential equations (PDEs) underpin the mathematical modeling of complex systems in diverse domains, including engineering, healthcare, and physics. A central challenge in using PDEs for real-world applications is…

Machine Learning · Computer Science 2026-04-07 Xuyang Li , Mahdi Masmoudi , Rami Gharbi , Nizar Lajnef , Vishnu Naresh Boddeti

Gaia measures the five astrometric parameters for stars in the Milky Way, but only four of them (positions and proper motion, but not parallax) are well measured beyond a few kpc from the Sun. Modern spectroscopic surveys such as APOGEE…

Astrophysics of Galaxies · Physics 2019-08-21 Henry W. Leung , Jo Bovy

The detection and subsequent characterisation of exoplanets are intimately linked to the characteristics of their host star. Therefore, it is necessary to study the star in detail in order to understand the formation history and…

Solar and Stellar Astrophysics · Physics 2018-07-18 M. G. Soto , J. S. Jenkins

We present MINESweeper, a tool to measure stellar parameters by jointly fitting observed spectra and broadband photometry to model isochrones and spectral libraries. This approach enables the measurement of spectrophotometric distances, in…

Solar and Stellar Astrophysics · Physics 2020-09-02 Phillip A. Cargile , Charlie Conroy , Benjamin D. Johnson , Yuan-Sen Ting , Ana Bonaca , Aaron Dotter , Joshua S. Speagle

New generation large-aperture telescopes, multi-object spectrographs, and large format detectors are making it possible to acquire very large samples of stellar spectra rapidly. In this context, traditional star-by-star spectroscopic…