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Context. As increasingly more spectroscopic data are being delivered by medium- and high-resolving power multi-object spectrographs, more automatic stellar parameter determination softwares are being developed. The quality of the spectra…

Solar and Stellar Astrophysics · Physics 2012-09-04 Helene Posbic , David Katz , Elisabetta Caffau , Piercarlo Bonifacio , Ana Gomez , Luca Sbordone , Frederic Arenou

The performance of electron energy-loss spectrometers can often be limited by their electron-optical aberrations. Due to recent developments in high energy-resolution and momentum-resolved electron energy loss spectroscopy (EELS), there is…

Materials Science · Physics 2023-02-28 Yueming Guo , Andrew R. Lupini

(Aims) We present a number of improvements to the MILES library and stellar population models. We correct some small errors in the radial velocities of the stars, measure the spectral resolution of the library and models more accurately,…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-28 J. Falcón-Barroso , P. Sánchez-Blázquez , A. Vazdekis , E. Ricciardelli , N. Cardiel , A. J. Cenarro , J. Gorgas , R. F. Peletier

We developed a tool that measures equivalent widths of various lines in low resolution optical spectra, and it was applied to stellar spectra obtained as part of SDSS-V and LAMOST programs. These lines, such as Li I which directly indicates…

We describe a scheme to extract linearly supporting (LSU) features from stellar spectra to automatically estimate the atmospheric parameters $T_{eff}$, log$~g$, and [Fe/H]. "Linearly supporting" means that the atmospheric parameters can be…

Solar and Stellar Astrophysics · Physics 2019-03-20 Xiangru Li , Yu Lu , Georges Comte , Ali Luo , Yongheng Zhao , Yongjun Wang

Band gap variations in thin film structures, across grain boundaries, and in embedded nanoparticles are of increasing interest in the materials science community. As many common experimental techniques for measuring band gaps do not have…

Materials Science · Physics 2018-10-22 Cecilie S. Granerød , Wei Zhan , Øystein Prytz

Implicit Neural representations (INRs) are widely used for scientific data reduction and visualization by modeling the function that maps a spatial location to a data value. Without any prior knowledge about the spatial distribution of…

Graphics · Computer Science 2024-02-22 Haoyu Li , Han-Wei Shen

The growth of sky surveys and the large amount of stellar spectra in the current databases, has generated the necessity of developing new methods to estimate atmospheric parameters, a fundamental task on stellar research. In this work we…

Instrumentation and Methods for Astrophysics · Physics 2022-06-27 Miguel Flores R. , Luis J. Corral , Celia R. Fierro-Santillán

This paper addresses alternative procedures to the ESO supplied pipeline procedures for the reduction of UVES spectra of two quasar spectra to determine the value of the fundamental constant mu = Mp/Me at early times in the universe. The…

Astrophysics · Physics 2009-11-13 Rodger I. Thompson , Jill Bechtold , John H. Black , C. J. A. P. Martins

A key aspect in the determination of stellar properties is the comparison of observational constraints with predictions from stellar models. Asteroseismic Inference on a Massive Scale (AIMS) is an open source code that uses Bayesian…

We report a study exploring how the use of deep neural networks with astronomical Big Data may help us find and uncover new insights into underlying phenomena: through our experiments towards unsupervised knowledge extraction from…

Solar and Stellar Astrophysics · Physics 2024-10-15 Nima Sedaghat , Brianna M. Smart , J. Bryce Kalmbach , Erin L. Howard , Hamidreza Amindavar

Measuring scattered light is central to many laser-based gas diagnostic techniques, e.g., coherent anti-Stokes Raman spectroscopy (CARS) and filtered Rayleigh scattering (FRS). To produce quantitative measurements with such techniques, a…

Computational Physics · Physics 2020-05-18 Gregory J. Hunt , Cody R. Ground , Robin L. Hunt

Most observations of absorption lines from interstellar and intergalactic matter have sufficient resolution to show most of the structure at differing radial velocities of the absorber. In analyzing the lines, however, it is important to…

Astrophysics · Physics 2008-11-26 Edward B. Jenkins

This paper describes methods for evaluating automatic speech recognition (ASR) systems in comparison with human perception results, using measures derived from linguistic distinctive features. Error patterns in terms of manner, place and…

Computation and Language · Computer Science 2016-12-14 Xiang Kong , Jeung-Yoon Choi , Stefanie Shattuck-Hufnagel

Implicit neural representation (INR) has become the standard approach for arbitrary-scale image super-resolution (ASSR). To date, no empirical study has systematically examined the effectiveness of existing methods, nor investigated the…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Tayyab Nasir , Daochang Liu , Ajmal Mian

Space-based projects are providing a wealth of high-quality asteroseismic data, including frequencies for a large number of stars showing solar-like oscillations. These data open the prospect for precise determinations of key stellar…

Solar and Stellar Astrophysics · Physics 2015-05-20 P. -O. Quirion , J. Christensen-Dalsgaard , T. Arentoft

The Word Error Rate (WER) is the common measure of accuracy for Automatic Speech Recognition (ASR). Transcripts are usually pre-processed by substituting specific characters to account for non-semantic differences. As a result of this…

Computation and Language · Computer Science 2024-09-20 Korbinian Kuhn , Verena Kersken , Gottfried Zimmermann

We derive analytic estimates for the ability with which one can obtain precise, empirical stellar masses and radii via single-lined eclipsing binaries (EBs) in the era of {\it Gaia\/} and {\it TESS}. Including stars that host transiting…

Solar and Stellar Astrophysics · Physics 2018-08-08 Daniel J. Stevens , B. Scott Gaudi , Keivan G. Stassun

Modern large-scale photometric surveys have provided us with multi-band photometries of billions of stars. Determining the stellar atmospheric parameters, such as the effective temperature (\teff) and metallicities (\feh), absolute…

Solar and Stellar Astrophysics · Physics 2023-07-11 Mingxu Sun , Bingqiu Chen , Helong Guo , He Zhao , Ming Yang , Wenyuan Cui

We present tests of a new method to simultaneously estimate stellar population and emission line (EL) properties of galaxies out of S-PLUS photometry. The technique uses the AlStar code, updated with an empirical prior which greatly…