Stellar atmosphere interpolator for empirical and synthetic spectra
Nikolay Podorvanyuk, Igor Chilingarian, Ivan Katkov

TL;DR
This paper introduces a new stellar atmosphere interpolator that combines empirical and synthetic spectra to create comprehensive stellar population models, validated through galaxy spectrum fitting.
Contribution
The paper presents a novel interpolator integrating observed and synthetic spectra for improved stellar population modeling.
Findings
Successful interpolation across parameter space
Accurate fitting of galaxy spectra from SDSS
Enhanced coverage of stellar parameters
Abstract
We present a new stellar atmosphere interpolator which we will use to compute stellar population models based on empirical and/or synthetic spectra. We combined observed and synthetic stellar spectra in order to achieve more or less uniform coverage of the (T_eff , log g, [Fe/H]) parameter space. We validated our semi-empirical stellar population models by fitting spectra of early-type galaxies from the SDSS survey
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
