首页    期刊浏览 2024年07月08日 星期一
登录注册

文章基本信息

  • 标题:S TEP AR: an automatic code to infer stellar atmospheric parameters
  • 本地全文:下载
  • 作者:H. M. Tabernero ; E. Marfil ; D. Montes
  • 期刊名称:Astronomy & Astrophysics
  • 印刷版ISSN:0004-6361
  • 电子版ISSN:1432-0746
  • 出版年度:2019
  • 卷号:628
  • 页码:1-12
  • DOI:10.1051/0004-6361/201935465
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Context.STEPARis an automatic code written in Python 3.X designed to compute the stellar atmospheric parametersTeff, logg, [Fe/H], andξof FGK-type stars by means of the equivalent width (EW) method. This code has already been extensively tested in different spectroscopic studies of FGK-type stars with several spectrographs and against thousands ofGaia-ESO Survey UVES U580 spectra of late-type, low-mass stars as one of its 13 pipelines.Aims.We describe the code that we tested against a library of well characterisedGaiabenchmark stars. We also release the code to the community and provide the link for download.Methods.We carried out the required EW determination of Fe Iand Fe IIspectral lines using the automatic tool TAME. STEPARimplements a grid of MARCS model atmospheres and the MOOG radiative transfer code to compute stellar atmospheric parameters by means of a Downhill Simplex minimisation algorithm.Results.We show the results of the benchmark star test and also discuss the limitations of the EW method, and hence the code. In addition, we find a small internal scatter for the benchmark stars of 9 ± 32 K inTeff, 0.00 ± 0.07 dex in logg, and 0.00 ± 0.03 dex in [Fe/H]. Finally, we advise against using STEPARon double-lined spectroscopic binaries or spectra withR <  30 000,S/N <  20, orvsini >  15 km s−1, and on stars later than K4 or earlier than F6.
  • 关键词:entechniques: spectroscopicmethods: data analysisstars: fundamental parameters
国家哲学社会科学文献中心版权所有