TY - JOUR
T1 - The BAyesian STellar Algorithm (BASTA)
T2 - a fitting tool for stellar studies, asteroseismology, exoplanets, and Galactic archaeology
AU - Aguirre Børsen-Koch, V.
AU - Rørsted, J. L.
AU - Justesen, A. B.
AU - Stokholm, A.
AU - Verma, K.
AU - Winther, M. L.
AU - Knudstrup, E.
AU - Nielsen, K. B.
AU - Sahlholdt, C.
AU - Larsen, J. R.
AU - Cassisi, S.
AU - Serenelli, A. M.
AU - Casagrande, L.
AU - Christensen-Dalsgaard, J.
AU - Davies, G. R.
AU - Ferguson, J. W.
AU - Lund, M. N.
AU - Weiss, A.
AU - White, T. R.
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
KW - Astrophysics - Solar and Stellar Astrophysics
KW - Astrophysics - Earth and Planetary Astrophysics
KW - Astrophysics - Astrophysics of Galaxies
KW - methods: statistical
KW - asteroseismology
KW - stars: fundamental parameters
KW - methods: numerical
KW - FUNDAMENTAL PROPERTIES
KW - TESTING SCALING RELATIONS
KW - RED GIANTS
KW - MAIN-SEQUENCE
KW - NUCLEAR-REACTIONS
KW - HOT JUPITER
KW - SCREENING FACTORS
KW - SOLAR-LIKE OSCILLATIONS
KW - EVOLUTION MODELS
KW - INITIAL MASS FUNCTION
U2 - 10.1093/mnras/stab2911
DO - 10.1093/mnras/stab2911
M3 - Journal article
SN - 0035-8711
VL - 509
SP - 4344
EP - 4364
JO - Royal Astronomical Society. Monthly Notices
JF - Royal Astronomical Society. Monthly Notices
IS - 3
ER -