J/ApJ/898/173 Solar analog rotations from Kepler & Gaia (Do Nascimento+, 2020)
Rotation of solar analogs crossmatching Kepler and Gaia DR2.
Do Nascimento J.-D. Jr, de Almeida L., Velloso E.N., Anthony F.,
Barnes S.A., Saar S.H., Meibom S., da Costa J.S., Castro M.,
Yana Galarza J., Lorenzo-Oliveira D., Beck P.G., Melendez J.
<Astrophys. J., 898, 173 (2020)>
=2020ApJ...898..173D 2020ApJ...898..173D
ADC_Keywords: Stars, masses; Abundances, [Fe/H]; Colors; Photometry;
Stars, ages; Stars, G-type; Optical
Keywords: Fundamental parameters of stars; Stellar rotation; Stellar activity;
Stellar photometry; Stellar evolution; Starspots
Abstract:
A major obstacle to interpreting the rotation period distribution for
main-sequence stars from Kepler mission data has been the lack of a
precise evolutionary status for these objects. We address this by
investigating the evolutionary status based on Gaia Data Release 2
parallaxes and photometry for more than 30000 Kepler stars with
rotation period measurements. Many of these are subgiants and should
be excluded in future work on dwarfs. We particularly investigate a
193-star sample of solar analogs and report newly determined rotation
periods for 125 of these. These include 54 stars from a prior sample,
of which we can confirm the periods for 50. The remainder are new, and
10 of them longer than a solar rotation period, suggesting that
Sun-like stars continue to spin down on the main sequence past solar
age. Our sample of solar analogs could potentially serve as a
benchmark for future missions, such as PLAnetary Transits and
Oscillations of stars, and emphasizes the need for additional
astrometric, photometric, and spectroscopic information before
interpreting the stellar populations and results from time series
surveys.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
table2.dat 106 193 Derived masses, rotation periods and summary of
astrophysical parameters for 193 candidate solar
analogs
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See also:
V/133 : Kepler Input Catalog (Kepler Mission Team, 2009)
I/345 : Gaia DR2 (Gaia Collaboration, 2018)
J/A+AS/141/371 : Low-mass stars evolutionary tracks (Girardi+, 2000)
J/ApJ/733/L9 : Stellar rotation for 71 NGC 6811 members (Meibom+, 2011)
J/MNRAS/424/11 : Rotation of field stars from CoRoT data (Affer+, 2012)
J/ApJ/753/90 : Stellar param. of K5 & later type Kepler stars (Mann+, 2012)
J/MNRAS/432/1203 : Rotation periods of M-dwarf stars (McQuillan+, 2013)
J/A+A/557/L10 : Rotation periods of 12000 Kepler stars (Nielsen+, 2013)
J/A+A/560/A4 : Rotation periods of active Kepler stars (Reinhold+, 2013)
J/ApJ/790/L23 : Solar analogs & twins rot. by Kepler (do Nascimento+, 2014)
J/A+A/572/A34 : Pulsating solar-like stars in Kepler (Garcia+, 2014)
J/ApJS/211/24 : Rotation periods of Kepler MS stars (McQuillan+, 2014)
J/ApJS/229/30 : Revised properties of Q1-17 Kepler targets (Mathur+, 2017)
J/MNRAS/474/2094 : Probabilistic stellar rotation periods (Angus+, 2018)
J/ApJ/866/99 : Radii of KIC stars & planets using Gaia DR2 (Berger+, 2018)
J/MNRAS/481/3244 : Chemo-kinematics from MARVELS (Grieves+, 2018)
J/A+A/617/A138 : Revised Gaia Data Release 2 passbands (Weiler, 2018)
J/A+A/621/A21 : Activity of Kepler stars (Reinhold+, 2019)
J/ApJS/244/21 : Surface rotation of Kepler stars. I. (Santos+, 2019)
Byte-by-byte Description of file: table2.dat
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Bytes Format Units Label Explanations
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1- 8 I8 --- KIC [1434277/12735740] Kepler Input Catalog ID
10- 13 F4.2 Msun Mass [0.86/1.03] Derived mass estimate
15- 18 F4.2 Msun E_Mass [0.03/0.07] Uncertainty (upper) on Mass
20- 23 F4.2 Msun e_Mass [0.03/0.07] Uncertainty (lower) on Mass
25- 28 I4 K Teff [5623/5914] Stellar effective temperature
from Berger+ 2018, J/ApJ/866/99
30- 32 I3 K e_Teff [112/118] Uncertainty on Teff
34- 38 F5.2 [-] [Fe/H] [-0.86/0.36] Metallicity from the KSPC DR25
(Mathur+, 2017, J/ApJS/229/30)
40- 43 F4.2 [-] e_[Fe/H] [0.15] Uncertainty on [Fe/H]
45- 49 F5.3 mag BP-RP [0.7/0.9] The (BP-RP) dereddened color
from Gaia DR2 (I/345)
51- 54 F4.1 % FAP [0/28.6] False Alarm Probability
56- 60 I5 10-6 Sph [39/11112] Photometric Activity Indicator
in ppm units
62- 66 F5.2 d PerGLS [0.69/63.92] Period estimate using GLS (1)
68- 72 F5.2 d PerACF [4.41/87.54] Period estimate using ACF (1)
74- 78 F5.2 d PerPDM [4.35/86.88] Period estimate using PDM (1)
80- 84 F5.2 d PerGP [3.35/24.05]? Period estimate using GP (1)
86- 90 F5.2 d Per [4.31/50.05]? Mean rotation period estimate
92- 95 F4.2 d e_Per [0.01/2.6]? Standard error on Per
97-101 I5 Myr Age [190/16000]? Derived age estimate
from gyrochronology
(Barnes 2010ApJ...722..222B 2010ApJ...722..222B)
103-106 I4 Myr e_Age [120/2960]? Uncertainty on Age
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Note (1): Classical numerical algorithms:
ACF = autocorrelation function (e.g., Brockwell & Davis 2002,
Introduction to Time Series and Forecasting (New York: Springer)
GLS = generalized Lomb-Scargle periodograms
(Zechmeister & Kurster 2009A&A...496..577Z 2009A&A...496..577Z)
PDM = phase dispersion minimization analysis
GP = the Gaussian Process
See Figure 4
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History:
From electronic version of the journal
(End) Prepared by [AAS], Emmanuelle Perret [CDS] 08-Dec-2021