J/ApJ/915/19 Data and parameters for subgiant sample (Godoy-Rivera+, 2021)
Testing the limits of precise subgiant characterization with APOGEE and Gaia:
opening a window to unprecedented astrophysical studies.
Godoy-Rivera D., Tayar J., Pinsonneault M.H., Rodriguez Martinez R.,
Stassun K.G., Van Saders J.L., Beaton R.L., Garcia-Hernandez D.A.,
Teske J.K.
<Astrophys. J., 915, 19-19 (2021)>
=2021ApJ...915...19G 2021ApJ...915...19G (SIMBAD/NED BibCode)
ADC_Keywords: Stars, giant ; Effective temperatures ; Extinction ; HR diagrams ;
Rotational velocities ; Stars, ages ; Stars, masses; Optical;
Photometry, infrared; Ultraviolet
Keywords: Subgiant stars
Abstract:
Given their location on the Hertzsprung-Russell (H-R) diagram,
thoroughly characterized subgiant stars can place stringent
constraints on a wide range of astrophysical problems. Accordingly,
they are prime asteroseismic targets for the Transiting Exoplanet
Survey Satellite (TESS) mission. In this work, we infer stellar
properties for a sample of 347 subgiants located in the TESS
Continuous Viewing Zones, which we select based on their likelihood of
showing asteroseismic oscillations. We investigate how well they can
be characterized using classical constraints (photometry, astrometry)
and validate our results using spectroscopic values. We derive
luminosities, effective temperatures, and radii with mean 1σ
random (systematic) uncertainties of 4.5% (2%), 33K (60K), and 2.2%
(2%), as well as more model-dependent quantities such as surface
gravities, masses, and ages. We use our sample to demonstrate that
subgiants are ideal targets for mass and age determination based on
H-R diagram location alone, discuss the advantages of stellar
parameters derived from a detailed characterization over widely
available catalogs, show that the generally used 3D extinction maps
tend to overestimate the extinction for nearby stars (distance
≤500pc), and find a correlation that supports the rotation-activity
connection in post-main-sequence stars. The complementary roles played
by classical and asteroseismic data sets will open a window to
unprecedented astrophysical studies using subgiant stars.
Description:
In this work, we fit spectral energy distributions (SEDs) to the
photometric and spectroscopic data of a sample of subgiants, and
derive precise stellar parameters for them.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
table1.dat 436 347 Target list and data compilation
table2.dat 123 347 Table of stellar parameters derived from SED
fitting using EXOFASTv2
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See also:
IV/38 : TESS Input Catalog - v8.0 (TIC-8) (Stassun+, 2019)
I/345 : Gaia DR2 (Gaia Collaboration, 2018)
II/246 : 2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)
II/328 : AllWISE Data Release (Cutri+ 2013)
II/335 : Revised catalog of GALEX UV sources (GUVcat_AIS GR6+7) (Bianchi+ 2017)
Byte-by-byte Description of file: table1.dat
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Bytes Format Units Label Explanations
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1- 9 I9 --- TIC TIC ID
11- 15 A5 --- Hemis [North/South] Hemisphere
17- 35 I19 --- GaiaDR2 ? GaiaDR2 ID
37- 50 F14.11 mas plx ? Parallax
52- 66 F15.13 mas e_plx ? Parallax error
68- 77 F10.7 mag Gmag ? G band magnitude
79- 95 F17.15 mag e_Gmag ? G band magnitude error
97-106 F10.7 mag BPmag ? BP band magnitude
108-124 F17.15 mag e_BPmag ? BP band magnitude error
126-135 F10.7 mag RPmag ? RP band magnitude
137-153 F17.15 mag e_RPmag ? RP band magnitude error
155-170 A16 --- 2MASS 2MASS ID
172-177 F6.3 mag Jmag ? J band magnitude
179-183 F5.3 mag e_Jmag ? J band magnitude error
185-190 F6.3 mag Hmag H band magnitude
192-196 F5.3 mag e_Hmag H band magnitude error
198-203 F6.3 mag Kmag ? K band magnitude
205-209 F5.3 mag e_Kmag ? K band magnitude error
211-229 A19 --- ALLWISE ALLWISE ID
231-236 F6.3 mag W1mag ? W1 band magnitude
238-242 F5.3 mag e_W1mag ? W1 band magnitude error
244-249 F6.3 mag W2mag ? W2 band magnitude
251-255 F5.3 mag e_W2mag ? W2 band magnitude error
257-262 F6.3 mag W3mag ? W3 band magnitude
264-268 F5.3 mag e_W3mag ? W3 band magnitude error
270-275 F6.3 mag W4mag ? W4 band magnitude
277-281 F5.3 mag e_W4mag ? W4 band magnitude error
283-298 A16 --- GALEX GALEX ID
300-306 F7.4 mag FUVmag ? FUV magnitude
308-313 F6.4 mag e_FUVmag ? FUV magnitude error
315-321 F7.4 mag NUVmag ? NUV magnitude
323-328 F6.4 mag e_NUVmag ? NUV magnitude error
330-346 F17.14 mag NUVexcess ? NUV excess
348-362 F15.13 mag e_NUVexcess ? NUV excess error
364-370 F7.2 K Teff ? Effective temperature
372-379 F8.4 K e_Teff ? Effective temperature error
381-387 F7.5 [cm/s2] logg ? Surface gravity
389-397 F9.7 [cm/s2] e_logg ? logg error
399-404 A6 --- loggCal [MS RC RGB RGB_MS] logg calibration
406-416 F11.8 [-] [M/H] ? Metallicity
418-427 F10.8 [-] e_[M/H] ? Metallicity error
429-436 F8.5 km/s vsini ? Projected rotational velocity
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Byte-by-byte Description of file: table2.dat
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Bytes Format Units Label Explanations
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1- 9 I9 --- TIC TIC ID
11- 13 A3 --- Flagfit [yes/no ] Flag fit
15- 20 F6.3 Lsun Lum ? Luminosity
22- 26 F5.3 Lsun E_Lum ? Luminosity upper error (1)
28- 32 F5.3 Lsun e_Lum ? Luminosity lower error (1)
34- 39 F6.1 K Teff ? Effective temperature
41- 45 F5.1 K E_Teff ? Effective temperature upper error (1)
47- 51 F5.1 K e_Teff ? Effective temperature lower error (1)
53- 57 F5.3 Rsun Rad ? Radius
59- 63 F5.3 Rsun E_Rad ? Radius upper error (1)
65- 69 F5.3 Rsun e_Rad ? Radius lower error (1)
71- 75 F5.3 [cm/s2] logg ? Surface gravity
77- 81 F5.3 [cm/s2] E_logg ? logg upper error (1)
83- 87 F5.3 [cm/s2] e_logg ? logg lower error (1)
89- 93 F5.3 Msun Mass ? Mass
95- 99 F5.3 Msun E_Mass ? Mass upper error (1)
101-105 F5.3 Msun e_Mass ? Mass lower error (1)
107-112 F6.3 Gyr Age ? Age
114-117 F4.2 Gyr E_Age ? Age upper error (1)
119-123 F5.3 Gyr e_Age ? Age lower error (1)
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Note (1): These values correspond to the random errors. For details on the
systematic errors see the caption of Table 2 and Section 3.4.
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Acknowledgements:
Diego Godoy-Rivera, diego.godoy.rivera(at)iac.es
(End) Patricia Vannier [CDS] 01-Feb-2022