English
Related papers

Related papers: GALA cookbook

200 papers

For modeling the spectra of exoplanets one must know their atmospheric composition. This is necessary because the abundance of molecules, atoms, ions and condensates is needed to construct the total cross-section for the interaction between…

Instrumentation and Methods for Astrophysics · Physics 2024-10-30 Elise Lei , Paul Mollière

Multiresolution Analysis (MRA) is a mathematical method that is based on working on a problem at different scales. One of its applications is medical imaging where processing at multiple scales, based on the concept of Gaussian and…

Computer Vision and Pattern Recognition · Computer Science 2014-08-21 Moritz Schmid , Oliver Reiche , Christian Schmitt , Frank Hannig , Jürgen Teich

We investigate the evolutionary history of the Universe's metal content focusing on the chemical abundance of several elements (N, O, S, Si, Fe, Cr, Zn) taken from observational data and predictions from chemical evolution models. The…

Astrophysics · Physics 2007-05-23 Gustavo A. Lanfranchi , Amancio C. S. Friaca

We describe the Cool Opacity-sampling Dynamic EXtended (CODEX) atmosphere models of Mira variable stars, and examine in detail the physical and numerical approximations that go in to the model creation. The CODEX atmospheric models are…

Astrophysics · Physics 2009-11-13 M. J. Ireland , M. Scholz , P. R. Wood

Context. An increasing number of high-resolution stellar spectra is available today thanks to many past and ongoing extensive spectroscopic surveys. Consequently, the scientific community needs automatic procedures to derive atmospheric…

Instrumentation and Methods for Astrophysics · Physics 2014-10-01 S. Blanco-Cuaresma , C. Soubiran , U. Heiter , P. Jofré

Machine learning techniques offer a precious tool box for use within astronomy to solve problems involving so-called big data. They provide a means to make accurate predictions about a particular system without prior knowledge of the…

Instrumentation and Methods for Astrophysics · Physics 2019-01-01 J. Elliott , R. S. de Souza , A. Krone-Martins , E. Cameron , E. E. O. Ishida , J. Hilbe

We describe a unique approach to economizing the solution to the general chemical equilibrium and equation-of-state problem for late-type stars, including diatomic and polyatomic molecules, that is fast, accurate, and suitable for…

Solar and Stellar Astrophysics · Physics 2022-06-08 C. Ian Short , Philip D. Bennett

Stars' chemical signatures provide invaluable insights into stellar cluster formation. This study utilized the Weisfeiler-Lehman (WL) Graph Kernel to examine a 15-dimensional elemental abundance space. Through simulating chemical…

Astrophysics of Galaxies · Physics 2023-06-27 Yuan-Sen Ting , Bhavesh Sharma

The comparison of chemical abundances in the neutral gas of galaxies to photospheric abundances of old and young stars, ionized gas abundances, and abundances in galactic halos can trace the chemical enrichment of the universe through…

APOGEE and GALAH are two high resolution multi-object spectroscopic surveys that provide fundamental stellar parameters and multiple elemental abundance estimates for about half a million stars in the Milky Way. Both surveys observe in…

The GALAH survey is a large high-resolution spectroscopic survey using the newly commissioned HERMES spectrograph on the Anglo-Australian Telescope. The HERMES spectrograph provides high-resolution (R ~28,000) spectra in four passbands for…

Large grids of synthetic spectra covering a widespread range of stellar parameters are mandatory for different stellar and (extra-)Galactic physics applications. Such large grids can be used for the automatic parametrisation of stellar…

Solar and Stellar Astrophysics · Physics 2015-06-05 P. de Laverny , A. Recio-Blanco , C. C. Worley , B. Plez

The Galaxy And Mass Assembly (GAMA) survey is a multiwavelength photometric and spectroscopic survey, using the AAOmega spectrograph on the Anglo-Australian Telescope to obtain spectra for up to ~300000 galaxies over 280 square degrees, to…

We present the Materials Learning Algorithms (MALA) package, a scalable machine learning framework designed to accelerate density functional theory (DFT) calculations suitable for large-scale atomistic simulations. Using local descriptors…

We present an extended theoretical library of over 800 synthetic stellar spectra, covering energy distribution in the optical range (lambda = 3500-7000 angstrom), at inverse resolution R=500000. The library, based on the ATLAS9 model…

Astrophysics · Physics 2007-05-23 E. Bertone , A. Buzzoni , L. H. Rodriguez-Merino , M. Chavez

Anomaly synthesis strategies can effectively enhance unsupervised anomaly detection. However, existing strategies have limitations in the coverage and controllability of anomaly synthesis, particularly for weak defects that are very similar…

Computer Vision and Pattern Recognition · Computer Science 2024-07-15 Qiyu Chen , Huiyuan Luo , Chengkan Lv , Zhengtao Zhang
‹ Prev 1 3 4 5 6 7 10 Next ›