Carbon- and Oxygen-rich stars in MaStar: identification and classification

Author:

Hill Lewis1ORCID,Maraston Claudia1ORCID,Thomas Daniel12ORCID,Yan Renbin3ORCID,Chen Yanping4,Stringfellow Guy S5ORCID,Lane Richard R6ORCID,Fernández-Trincado José G7ORCID

Affiliation:

1. Institute of Cosmology, University of Portsmouth , Burnaby Road, Portsmouth PO1 3FX , UK

2. School of Mathematics and Physics, University of Portsmouth , Lion Gate Building, Portsmouth PO1 3HF , UK

3. Department of Physics, The Chinese University of Hong Kong , Sha Tin, NT, Hong Kong , China

4. Center for Astrophysics and Space Science, New York University Abu Dhabi , Abu Dhabi P.O. Box 129188 , United Arab Emirates

5. Center for Astrophysics and Space Astronomy, University of Colorado , 389 UCB, Boulder, CO 80309-0389 , USA

6. Centro de Investigación en Astronomía, Universidad Bernardo O’Higgins , Avenida Viel 1497, Santiago , Chile

7. Instituto de Astronomía, Universidad Católica del Norte , Av. Angamos 0610, Antofagasta , Chile

Abstract

ABSTRACT Carbon- and Oxygen-rich stars populating the Thermally Pulsing Asymptotic Giant Branch (TP-AGB) phase of stellar evolution are relevant contributors to the spectra of ∼1 Gyr old populations. Atmosphere models for these types are uncertain, due to complex molecules and mass-loss effects. Empirical spectra are then crucial, but samples are small due to the short (∼3 Myr) TP-AGB lifetime. Here we exploit the vastness of the MaNGA Stellar library MaStar (∼60 000 spectra) to identify C and O-rich type stars. We define an optical colour selection with cuts of (g − r) > 2 and (g − i) < 1.55(g − r) − 0.07, calibrated with known C- and O-rich spectra. This identifies C- and O-rich stars along clean, separated sequences. An analogue selection is found in V, R, I  bands. Our equation identifies C-rich and O-rich spectra with predictive performance metric F1-scores of 0.72 and 0.74 (over 1), respectively. We finally identify 41 C- and 87 O-rich type AGB stars in MaStar, 5 and 49 of which do not have a SIMBAD counterpart. We also detect a sample of non-AGB, dwarf C-stars. We further design a fitting procedure to classify the spectra into broad spectral types, by using as fitting templates empirical C- and O-rich spectra. We find remarkably good fits for the majority of candidates and categorize them into C- and O-rich bins following existing classifications, which correlate to effective temperature. Our selection models can be applied to large photometric surveys (e.g. Euclid, Rubin). The classified spectra will facilitate future evolutionary population synthesis models.

Funder

STFC

CUHK

Alfred P. Sloan Foundation

U.S. Department of Energy Office of Science

Publisher

Oxford University Press (OUP)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3