J/MNRAS/536/498 Evolution of Sun-like stars (Lehmann+, 2025)
Chemodynamic evolution of Sun-like stars in nearby moving groups.
Lehmann C., Murphy M.T., Liu F., Flynn C.
<Mon. Not. R. Astron. Soc. 536, 498-508 (2025)>
=2025MNRAS.536..498L 2025MNRAS.536..498L (SIMBAD/NED BibCode)
ADC_Keywords: Milky Way ; Stars, G-type ; Abundances ; Stars, ages ; Optical
Keywords: instrumentation: spectrographs - methods: data analysis -
techniques: spectroscopic - stars: fundamental parameters -
stars: solar-type
Abstract:
Sun-like stars are well represented in the solar neighbourhood but are
currently under-utilised, with many studies of chemical and kinematic
evolution focusing on red giants (which can be observed further away)
or turn-off stars (which have well measured ages). Recent surveys
(e.g. GALAH) provide spectra for large numbers of nearby Sun-like
stars, which provides an opportunity to apply our newly developed
method for measuring metallicities, temperatures, and surface
gravities - the epic algorithm - which yields improved ages via
isochrone fitting. We test this on moving groups, by applying it to
the large GALAH DR3 sample. This defines a sample of 72288 solar
analogue targets for which the stellar parameter measurements are most
precise and reliable. These stars are used to estimate, and test the
accuracy and precision of, age measurements derived with the SAMD
isochrone fitting algorithm. Using these ages, we recover the
age-metallicity relationships for nearby (≤1kpc) moving groups,
traced by solar analogues, and analyse them with respect to the
stellar kinematics. In particular, we found that the age-metallicity
relationships of all moving groups follows a particular trend of young
(age<6Gyr) stars having constant metallicity and older (age≥6Gyr)
stars decreasing in metallicity with increasing age. The Hercules
stream carries the highest fraction of metal-rich young stars
(∼0.1dex) in our sample, which is consistent with a migrating
population of stars from the inner Galaxy, and we discuss the possible
causes of this migration in the context of our results.
Description:
Catalogue including values added for a subsample of GALAH DR3 targets
which were used in the paper.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
catalog.dat 214 72288 Value added catalogue
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See also:
J/MNRAS/478/4513 : GALAH Survey DR2 (Buder+, 2018)
J/MNRAS/506/150 : The GALAH+ Survey DR3 (Buder+, 2021)
Byte-by-byte Description of file: catalog.dat
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Bytes Format Units Label Explanations
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1- 15 I15 --- GALAH GALAH DR3 Object ID (sobject_id)
(sobject_id)
17- 20 F4.1 Gyr Agemp ? Age q2_output (age_mp)
22- 27 F6.3 Gyr e_Agemp ? Age lower limit (1sigma) q2_output
(age_ll1s)
29- 34 F6.3 Gyr E_Agemp ? Age upper limit (1sigma) q2_output
(age_ul1s)
36- 41 F6.3 Gyr e2_Agemp ? Age lower limit (2sigma) q2_output
(age_ll2s)
43- 48 F6.3 Gyr E2_Agemp ? Age upper limit (2sigma) q2_output
(age_ul2s)
50- 55 F6.3 Gyr Agemean ? Mean age q2_output (age_mean)
57- 61 F5.3 Gyr e_Agemean ? Standed deviation of mean age q2_output
(age_std)
63- 68 F6.1 K Teff Spectroscopic temperature (teff)
70- 73 F4.1 K e_Teff Spectroscopic temperature uncertainty
(err_teff)
75- 80 F6.4 [cm/s2] logg Spectroscopic surface gravity (logg)
82- 87 F6.4 [cm/s2] e_logg Spectroscopic surface gravity uncertainty
(err_logg)
89- 97 E9.3 [-] [Fe/H] Spectroscopic metallicity (feh)
99-105 F7.5 [-] e_[Fe/H] Spectroscopic metallicity uncertainty
(err_feh)
107-115 E9.3 km/s RV Radial_velocity (RV)
117-120 A4 --- f_RV [F/T] Radial velocity flag (RV_flag)
122-127 F6.1 K Teffnc Photometric effective temperature (teff_nc)
129-132 F4.1 K e_Teffnc Photometric effective temperature
uncertainty (errteffnc)
134-139 F6.4 [cm/s2] loggnc Photometric surface gravity (logg_nc)
141-146 F6.4 [cm/s2] e_loggnc Photometric surface gravity uncertainty
(errloggnc)
148-156 E9.3 [-] [Fe/H]nc Photometric metallicity (feh_nc)
158-164 F7.5 [-] e_[Fe/H]nc Photometric metallicity uncertainty
(errfehnc)
166-169 F4.1 Gyr b_AgeMed ? 5thpercentileage_median (a5_gfunc1)
171-174 F4.1 Gyr b2_AgeMed ? 16thpercentileage_median (a16_gfunc1)
176-179 F4.1 Gyr AgeMed MedianageSAMD (aMedian_gfunc)
181-184 F4.1 Gyr B2_AgeMed ? 84thpercentileage_median (a84_gfunc1)
186-189 F4.1 Gyr B_AgeMed ? 95thpercentileage_median (a95_gfunc1)
191-194 F4.1 Gyr b_AgeMode ? 5thpercentileage_mode (a5_gfunc2)
196-199 F4.1 Gyr b2_AgeMode ? 16thpercentileage_mode (a16_gfunc2)
201-204 F4.1 Gyr AgeMode ? ModeageSAMD (aMode_gfunc)
206-209 F4.1 Gyr B_AgeMode ? 84thpercentileage_mode (a84_gfunc2)
211-214 F4.1 Gyr B2_AgeMode ? 95thpercentileage_mode (a95_gfunc2)
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Acknowledgements:
Christian Lehmann, christian.lehmann(at)geol.lu.se
(End) Patricia Vannier [CDS] 22-Nov-2024