The BAyesian STellar algorithm (BASTA): a fitting tool for stellar studies, asteroseismology, exoplanets, and Galactic archaeology

被引：40

作者：

Borsen-Koch, V. Aguirre ^{[1
]}

Rorsted, J. L. ^{[1
]}

Justesen, A. B. ^{[1
]}

Stokholm, A. ^{[1
,2
]}

Verma, K. ^{[1
]}

Winther, M. L. ^{[1
]}

Knudstrup, E. ^{[1
]}

Nielsen, K. B. ^{[1
,3
]}

Sahlholdt, C. ^{[1
,4
]}

Larsen, J. R. ^{[1
]}

Cassisi, S. ^{[5
,6
]}

Serenelli, A. M. ^{[7
,8
]}

Casagrande, L. ^{[9
]}

Christensen-Dalsgaard, J. ^{[1
]}

Davies, G. R. ^{[1
,10
]}

Ferguson, J. W. ^{[11
]}

Lund, M. N. ^{[1
]}

Weiss, A. ^{[12
]}

White, T. R. ^{[11
,13
]}

机构：

[1] Aarhus Univ, Stellar Astrophys Ctr, Dept Phys & Astron, Ny Munkegade 120, DK-8000 Aarhus C, Denmark

[2] Univ Bologna, Dipartinento Fis & Astron, Via Gobetti 93-2, I-140129 Bologna, Italy

[3] Max Planck Inst Astron, Kiinigstuhl 17, D-69117 Heidelberg, Germany

[4] Lund Observ, Dept Astron & Theoret Phys, Box 43, SE-22100 Lund, Sweden

[5] INAF Astrono Observ Abruzzo, Via M Maggini Sn, I-64100 Teramo, Italy

[6] Ist Nazl Fis Nucl, Sez Pisa, Largo Pontecorvo 3, I-56127 Pisa, Italy

[7] CSIC, Inst Ciencias Espacio ICE, Campus UAB,Carrer Can Mayans S-N, E-08193 Cerdanyola Del Valles, Spain

[8] Inst Estudis Espacials Catalunya IEEC, Gran Capita 4, E-08034 Barcelona, Spain

[9] Australian Natl Univ, Res Sch Astron & Astrophys, Mt Stromlo Observ, Weston, ACT 2611, Australia

[10] Univ Birmingham, Sch Phys & Astron, Birmingham B15 2TT, W Midlands, England

[11] Wichita State Univ, Phys Dept, Wichita, KS 67260 USA

[12] Mar Planck Inst Astrophys, Karl Schwarzschild Str 1, D-85748 Garching, Germany

[13] Univ Sydney, Sch Phys, Sydney Inst Astron SIfA, Sydney, NSW 2006, Australia

来源：

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | 2022年 / 509卷 / 03期

基金：

新加坡国家研究基金会; 欧洲研究理事会;

关键词：

asteroseismology; methods: numerical; methods: statistical; stars: fundamental parameters; SOLAR-LIKE OSCILLATIONS; TESTING SCALING RELATIONS; INITIAL MASS FUNCTION; RED GIANTS; EVOLUTION MODELS; HOT JUPITER; FUNDAMENTAL PROPERTIES; NUCLEAR-REACTIONS; SCREENING FACTORS; MAIN-SEQUENCE;

D O I：

10.1093/mnras/stab2911

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

We introduce the public version of the BAyesian STellar Algorithm (BASTA), an open-source code written in Python to determine stellar properties based on a set of astrophysical observables. BASTA has been specifically designed to robustly combine large data sets that include asteroseismology, spectroscopy, photometry, and astrometry. We describe the large number of asteroseismic observations that can be fit by the code and how these can be combined with atmospheric properties (as well as parallaxes and apparent magnitudes), making it the most complete analysis pipeline available for oscillating main-sequence, subgiant, and red giant stars. BASTA relies on a set of pre-built stellar isochrones or a custom-designed library of stellar tracks, which can be further refined using our interpolation method (both along and across stellar tracks or isochrones). We perform recovery tests with simulated data that reveal levels of accuracy at the few percent level for radii, masses, and ages when individual oscillation frequencies are considered, and show that asteroseismic ages with statistical uncertainties below 10 per cent are within reach if our stellar models are reliable representations of stars. BASTAis extensively documented and includes a suite of examples to support easy adoption and further development by new users.

引用

页码：4344 / 4364

页数：21

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