SDSS-IV MaStar: [α/Fe] for the MaNGA Stellar Library from synthetic model spectra

<p>We calculate the &alpha;-enhancement ratio [&alpha;/Fe] for the Mapping Nearby Galaxies at APO (MaNGA) Stellar Library (MaStar) while also fitting for the fundamental atmospheric parameters effective temperature, surface gravity, and metallicity &ndash;&nbsp;<em>T</...

Full description

Bibliographic Details
Main Authors: Hill, L, Thomas, D, Maraston, C, Yan, R, Lazarz, D, Chen, Y-P, Stringfellow, GS, Cappellari, M, Holtzman, JA, Imig, J, Bizyaev, D, Law, DR, Stassun, KG, Drory, N
Format: Journal article
Language:English
Published: Oxford University Press 2022
_version_ 1797108886083207168
author Hill, L
Thomas, D
Maraston, C
Yan, R
Lazarz, D
Chen, Y-P
Stringfellow, GS
Cappellari, M
Holtzman, JA
Imig, J
Bizyaev, D
Law, DR
Stassun, KG
Drory, N
author_facet Hill, L
Thomas, D
Maraston, C
Yan, R
Lazarz, D
Chen, Y-P
Stringfellow, GS
Cappellari, M
Holtzman, JA
Imig, J
Bizyaev, D
Law, DR
Stassun, KG
Drory, N
author_sort Hill, L
collection OXFORD
description <p>We calculate the &alpha;-enhancement ratio [&alpha;/Fe] for the Mapping Nearby Galaxies at APO (MaNGA) Stellar Library (MaStar) while also fitting for the fundamental atmospheric parameters effective temperature, surface gravity, and metallicity &ndash;&nbsp;<em>T</em><sub>eff</sub>, log&nbsp;<em>g</em>, [Fe/H]. This approach builds upon a previous catalogue of stellar parameters, whereby only the fundamental atmospheric parameters are fit with solar-scaled models. Here, we use the same Markov Chain Monte Carlo method with the additional free parameter [&alpha;/Fe]. Using the full spectral fitting code pPXF, we are able to fit multiple lines sensitive to [&alpha;/Fe] for a more robust measurement. Quality flags based on the convergence of the sampler, errors in [&alpha;/Fe] and a cut in the &chi;<sup>2</sup>&nbsp;of the model fit are used to clean the final catalogue, returning 17&nbsp;214 spectra and values in the range of &minus;0.25 &lt; [&alpha;/Fe] &lt; 0.48. Comparing our calculated [&alpha;/Fe] with literature values reveals a degeneracy in cool stars with log&nbsp;<em>g</em>&nbsp;&ge; &sim;4; this comparison is then used to create an alternative and calibrated parameter set. We also plot the final catalogue in an [Fe/H] versus [&alpha;/Fe] diagram and recover the expected result of increasing [&alpha;/Fe] with decreasing [Fe/H] for Milky Way disc-halo stars. We apply our method to a subsample of spectra of uniform resolution and higher signal to noise that finds that our results are independent of this higher signal to noise. In the context of stellar population models, we are able to cover a parameter space for the creation of intermediate to old age models at solar-scaled [&alpha;/Fe], high [Fe/H] and enhanced [&alpha;/Fe], low [Fe/H].</p>
first_indexed 2024-03-07T07:34:17Z
format Journal article
id oxford-uuid:01fb56b2-8cc8-48af-a318-8a938b46790d
institution University of Oxford
language English
last_indexed 2024-03-07T07:34:17Z
publishDate 2022
publisher Oxford University Press
record_format dspace
spelling oxford-uuid:01fb56b2-8cc8-48af-a318-8a938b46790d2023-03-02T11:55:53ZSDSS-IV MaStar: [α/Fe] for the MaNGA Stellar Library from synthetic model spectraJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:01fb56b2-8cc8-48af-a318-8a938b46790dEnglishSymplectic ElementsOxford University Press2022Hill, LThomas, DMaraston, CYan, RLazarz, DChen, Y-PStringfellow, GSCappellari, MHoltzman, JAImig, JBizyaev, DLaw, DRStassun, KGDrory, N<p>We calculate the &alpha;-enhancement ratio [&alpha;/Fe] for the Mapping Nearby Galaxies at APO (MaNGA) Stellar Library (MaStar) while also fitting for the fundamental atmospheric parameters effective temperature, surface gravity, and metallicity &ndash;&nbsp;<em>T</em><sub>eff</sub>, log&nbsp;<em>g</em>, [Fe/H]. This approach builds upon a previous catalogue of stellar parameters, whereby only the fundamental atmospheric parameters are fit with solar-scaled models. Here, we use the same Markov Chain Monte Carlo method with the additional free parameter [&alpha;/Fe]. Using the full spectral fitting code pPXF, we are able to fit multiple lines sensitive to [&alpha;/Fe] for a more robust measurement. Quality flags based on the convergence of the sampler, errors in [&alpha;/Fe] and a cut in the &chi;<sup>2</sup>&nbsp;of the model fit are used to clean the final catalogue, returning 17&nbsp;214 spectra and values in the range of &minus;0.25 &lt; [&alpha;/Fe] &lt; 0.48. Comparing our calculated [&alpha;/Fe] with literature values reveals a degeneracy in cool stars with log&nbsp;<em>g</em>&nbsp;&ge; &sim;4; this comparison is then used to create an alternative and calibrated parameter set. We also plot the final catalogue in an [Fe/H] versus [&alpha;/Fe] diagram and recover the expected result of increasing [&alpha;/Fe] with decreasing [Fe/H] for Milky Way disc-halo stars. We apply our method to a subsample of spectra of uniform resolution and higher signal to noise that finds that our results are independent of this higher signal to noise. In the context of stellar population models, we are able to cover a parameter space for the creation of intermediate to old age models at solar-scaled [&alpha;/Fe], high [Fe/H] and enhanced [&alpha;/Fe], low [Fe/H].</p>
spellingShingle Hill, L
Thomas, D
Maraston, C
Yan, R
Lazarz, D
Chen, Y-P
Stringfellow, GS
Cappellari, M
Holtzman, JA
Imig, J
Bizyaev, D
Law, DR
Stassun, KG
Drory, N
SDSS-IV MaStar: [α/Fe] for the MaNGA Stellar Library from synthetic model spectra
title SDSS-IV MaStar: [α/Fe] for the MaNGA Stellar Library from synthetic model spectra
title_full SDSS-IV MaStar: [α/Fe] for the MaNGA Stellar Library from synthetic model spectra
title_fullStr SDSS-IV MaStar: [α/Fe] for the MaNGA Stellar Library from synthetic model spectra
title_full_unstemmed SDSS-IV MaStar: [α/Fe] for the MaNGA Stellar Library from synthetic model spectra
title_short SDSS-IV MaStar: [α/Fe] for the MaNGA Stellar Library from synthetic model spectra
title_sort sdss iv mastar α fe for the manga stellar library from synthetic model spectra
work_keys_str_mv AT hilll sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT thomasd sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT marastonc sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT yanr sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT lazarzd sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT chenyp sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT stringfellowgs sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT cappellarim sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT holtzmanja sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT imigj sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT bizyaevd sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT lawdr sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT stassunkg sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra
AT droryn sdssivmastarafeforthemangastellarlibraryfromsyntheticmodelspectra