期刊
ASTRONOMY & ASTROPHYSICS
卷 664, 期 -, 页码 -出版社
EDP SCIENCES S A
DOI: 10.1051/0004-6361/202243939
关键词
techniques: photometric; catalogs; surveys; stars: fundamental parameters
资金
- INAF Main Stream grant [1.05.01.86.22]
- ASI (Agenzia Spaziale Italiana) [ASI 2014-049-R.0, ARS/96/77, ARS/98/92, ARS/99/81, I/R/32/00, I/R/117/01, COFIS-OF06-01, ASI I/016/07/0, ASI I/037/08/0, ASI I/058/10/0, ASI 2014-025-R.0, ASI 2014-025-R.1.2015, ASI 2018-24-HH.0]
- Alfred P. Sloan Foundation
- US Department of Energy Office of Science
- Center for High-Performance Computing at the University of Utah
- Brazilian Participation Group
- Carnegie Institution for Science
- Carnegie Mellon University
- Center for Astrophysics - Harvard & Smithsonian (CfA)
- Chilean Participation Group
- French Participation Group
- Instituto de Astrofisica de Canarias
- Johns Hopkins University
- Kavli Institute for the Physics and Mathematics of the Universe (IPMU) / University of Tokyo
- Korean Participation Group
- Lawrence Berkeley National Laboratory
- Leibniz Institut fuer Astrophysik Potsdam (AIP)
- Max-Planck-Institut fuer Astronomie (MPIA Heidelberg)
- Max-Planck-Institut fuer Astrophysik (MPA Garching)
- Max-Planck-Institut fuer Extraterrestrische Physik (MPE)
- National Astronomical Observatories of China
- New Mexico State University
- New York University
- University of Notre Dame
- Observatorio Nacional / MCTI
- Ohio State University
- Pennsylvania State University
- Shanghai Astronomical Observatory
- United Kingdom Participation Group
- Universidad Nacional Autonoma de Mexico
- University of Arizona
- University of Colorado Boulder
- University of Oxford
- University of Portsmouth
- University of Utah
- University of Virginia
- University of Washington
- University of Wisconsin
- Vanderbilt University
- Yale University
- Australian Astronomical Observatory [A/2013B/13, A/2014A/25, A/2015A/19, A2017A/18, A2018A/18, A2019A/1, A2019A/15, A/2016B/10, A/2017B/16, A/2018B/15, A/2015A/3, A/2015B/1, A/2015B/19, A/2016A/22, A/2016B/12, A/2017A/14]
- National Development and Reform Commission
- Leibniz Institute for Astrophysics Potsdam (AIP)
- Australian Astronomical Observatory
- Australian National University
- Australian Research Council
- French National Research Agency
- German Research Foundation [SPP 1177, SFB 881]
- European Research Council [ERC-StG 240271]
- Istituto Nazionale di Astrofisica at Padova
- National Science Foundation of the USA [AST-0908326]
- W. M. Keck foundation
- Macquarie University
- Netherlands Research School for Astronomy
- Natural Sciences and Engineering Research Council of Canada
- Slovenian Research Agency
- Swiss National Science Foundation
- Science & Technology Facilities Council of the UK
- Opticon
- Strasbourg Observatory
- University of Basel
- University of Groningen
- University of Heidelberg
- University of Sydney
- National Science Foundation [AST-2034437, AST-1238877]
- Caltech
- IPAC
- Weizmann Institute for Science
- Oskar Klein Center at Stockholm University
- University of Maryland
- Deutsches Elektronen-Synchrotron and Humboldt University
- TANGO Consortium of Taiwan
- University of Wisconsin at Milwaukee
- Trinity College Dublin
- Lawrence Livermore National Laboratories
- IN2P3, France
- National Aeronautics and Space Administration [NNX08AR22G]
- Spanish MINECO [AYA2017-84089]
This study utilizes data from Gaia and other surveys to provide secondary standards in the Johnson-Kron-Cousins system and transformations between different photometric systems. The research findings are important for large-scale studies of stars and astronomical observations.
Context. In the era of large surveys and space missions, it is necessary to rely on large samples of well-characterized stars for inter-calibrating and comparing measurements from different surveys and catalogues. Among the most employed photometric systems, the Johnson-Kron-Cousins has been used for decades and for a large amount of important datasets. Aims. Our goal is to profit from the Gaia EDR3 data, Gaia official cross-match algorithm, and Gaia-derived literature catalogues, to provide a well-characterized and clean sample of secondary standards in the Johnson-Kron-Cousins system, as well as a set of transformations between the main photometric systems and the Johnson-Kron-Cousins one. Methods. Using Gaia as a reference, as well as data from reddening maps, spectroscopic surveys, and variable stars monitoring surveys, we curated and characterized the widely used Landolt and Stetson collections of more than 200 000 secondary standards, employing classical as well as machine learning techniques. In particular, our atmospheric parameters agree significantly better with spectroscopic ones, compared to other machine learning catalogues. We also cross-matched the curated collections with the major photometric surveys to provide a comprehensive set of reliable measurements in the most widely adopted photometric systems. Results. We provide a curated catalogue of secondary standards in the Johnson-Kron-Cousins system that are well-measured and as free as possible from variable and multiple sources. We characterize the collection in terms of astrophysical parameters, distance, reddening, and radial velocity. We provide a table with the magnitudes of the secondary standards in the most widely used photometric systems (ugriz, grizy, Gaia, HIPPARCOS, Tycho, 2MASS). We finally provide a set of 167 polynomial transformations, valid for dwarfs and giants, metal-poor and metal-rich stars, to transform UBVRI magnitudes in the above photometric systems and vice-versa.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据