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Autore principale: Prieto, Carlos Allende
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2503.17627
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author Prieto, Carlos Allende
author_facet Prieto, Carlos Allende
contents As the multiplexing power of spectroscopic instruments increases, so does the need for automated analysis. In practice, the bottleneck for speed is the calculation of model spectra to evaluate the likelihood of candidate parameters. This presentation gives an overview of the steps required for automating spectroscopic analyses, focusing on the speedups achievable by precomputing regular grids of synthetic spectra for on-the-fly interpolation, and a new technique based on precomputed irregular grids capable of tackling problems with much higher dimensionality, as in the case when we are interested in deriving the abundances of multiple elements. Accuracy, ease of use and portability will be discussed.
format Preprint
id arxiv_https___arxiv_org_abs_2503_17627
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Automated Methods for Abundance Determination
Prieto, Carlos Allende
Solar and Stellar Astrophysics
Instrumentation and Methods for Astrophysics
As the multiplexing power of spectroscopic instruments increases, so does the need for automated analysis. In practice, the bottleneck for speed is the calculation of model spectra to evaluate the likelihood of candidate parameters. This presentation gives an overview of the steps required for automating spectroscopic analyses, focusing on the speedups achievable by precomputing regular grids of synthetic spectra for on-the-fly interpolation, and a new technique based on precomputed irregular grids capable of tackling problems with much higher dimensionality, as in the case when we are interested in deriving the abundances of multiple elements. Accuracy, ease of use and portability will be discussed.
title Automated Methods for Abundance Determination
topic Solar and Stellar Astrophysics
Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2503.17627