J/ApJS/247/44 Mira-like variables from the KELT survey (Arnold+, 2020)
Long-period high-amplitude red variables in the KELT survey.
Arnold R.A., McSwain M.V., Pepper J., Whitelock P.A., Hernitschek N.,
James D.J., Kuhn R.B., Lund M.B., Rodriguez J.E., Siverd R.J., Stassun K.G.
<Astrophys. J. Suppl. Ser., 247, 44 (2020)>
=2020ApJS..247...44A 2020ApJS..247...44A
ADC_Keywords: Stars, variable; Stars, giant; Photometry, RI; Infrared sources;
Surveys
Keywords: Mira variable stars; Long period variable stars; Time series analysis
Abstract:
We present a sample of 4132 Mira-like variables (red variables with
long periods and high amplitudes) in the Kilodegree Extremely Little
Telescope (KELT) survey. Of these, 376 are new Mira-like detections.
We used Two Micron All Sky Survey (2MASS) colors to identify candidate
asymptotic giant branch stars. We searched for photometric variability
among the candidate asymptotic giant branch stars and identified stars
that show periodic variability. We selected variables with high
amplitudes and strong periodic behavior using a Random Forest
classifier. Of the sample of 4132 Mira-like variables, we estimate
that 70% are Miras and 30% are semiregular (SR) variables. We also
adopt the method of using (WRP-WKs) versus (J-Ks) colors in
distinguishing between O-rich and C-rich Miras and find it to be an
improvement over 2MASS colors.
Description:
The observational data used in this study are time-series photometry
taken from the KELT survey (Pepper+ 2007PASP..119..923P 2007PASP..119..923P and
2012PASP..124..230P 2012PASP..124..230P). KELT is a photometric survey consisting of two
small-aperture (42mm), wide-field (26°x26°) telescopes and
began operations in 2005. The KELT survey uses an effective passband
roughly equivalent to a very broad R-band filter. The survey performs
observations in both the northern and southern sky, with the northern
telescope at Winer Observatory in Arizona, United States, and the
southern telescope at the South African Astronomical Observatory near
Sutherland, South Africa. With these two locations, KELT observes over
70% of the sky. The time baselines of KELT observations vary, with
some of the longest up to 10yr.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
table2.dat 257 4132 The Kilodegree Extremely Little Telescope (KELT)
survey Mira-like catalog
lc/* . 4132 Individual light curves
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See also:
B/vsx : AAVSO International Variable Star Index VSX (Watson+, 2006-2014)
B/gcvs : General Catalogue of Variable Stars (Samus+, 2007-2017)
II/246 : 2MASS All-Sky Catalog of Point Sources (Cutri R.M.+, 2003)
II/264 : ASAS Variable Stars in Southern hemisphere (Pojmanski+, 2002-2005)
I/345 : Gaia DR2 (Gaia Collaboration, 2018)
J/AJ/99/784 : IR photometry of LMC long-period variables (Hughes+ 1990)
J/AJ/128/2965 : Red variables in the NSVS (Williams+, 2004)
J/ApJ/628/411 : Identification & analysis of EBs (Devor+, 2005)
J/MNRAS/369/751 : Near-infrared photometry of carbon stars (Whitelock+, 2006)
J/MNRAS/381/1219 : High mass-loss AGB stars in the Galactic Bulge (Ojha+, 2007)
J/MNRAS/386/313 : IR observations of Mira variables (Whitelock+, 2008)
J/AcA/59/239 : VI LCs of LMC long-period variables (Soszynski+, 2009)
J/MNRAS/414/2602 : Automated classification of HIP variables (Dubath+, 2011)
J/AcA/61/217 : VI LCs of SMC long-period variables (Soszynski+, 2011)
J/AJ/145/22 : Simultaneous SiO and H2O maser observations (Kim+, 2013)
J/AcA/63/21 : VI light curves of Galactic LPVs (Soszynski+, 2013)
J/ApJ/788/48 : X-ray through NIR photometry of NGC 2617 (Shappee+, 2014)
J/MNRAS/455/2216 : Outer bulge O-rich Mira's JHKL photometry (Catchpole+, 2016)
J/ApJ/817/73 : QSOs & RR Lyrae in PS1 3π Data (Hernitschek+ 2016)
J/ApJS/227/6 : LCs re-analysis of Mira variables in ASAS (Vogt+, 2016)
J/AJ/153/170 : M33 Synoptic Stellar Survey. II. Miras (Yuan+, 2017)
J/ApJ/857/67 : HST obs. of Mira candidates in NGC 4258 (Huang+, 2018)
J/AJ/155/39 : Variability of TIC sources with KELT (Oelkers+, 2018)
http://keltsurvey.org/ : KELT home page
Byte-by-byte Description of file: table2.dat
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Bytes Format Units Label Explanations
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1- 35 A35 --- KELT-E Eastern KELT file identifier; nan=no source
37- 71 A35 --- KELT-W Western KELT file identifier; nan=no source
73- 77 A5 --- --- [2MASS]
79- 95 A17 --- 2MASS 2MASS identifier (JHHMMSSss+DDMMSSs)
97- 98 I2 h RAh Hour of Right Ascension (J2000)
100-101 I2 min RAm Minute of Right Ascension (J2000)
103-107 F5.2 s RAs Second of Right Ascension (J2000)
109-109 A1 --- DE- Sign of the Declination (J2000)
110-111 I2 deg DEd Degree of Declination (J2000)
113-114 I2 arcmin DEm Arcminute of Declination (J2000)
116-120 F5.2 arcsec DEs Arcsecond of Declination (J2000)
122-131 F10.6 deg GLON [4.4/359] Galactic longitude
133-142 F10.6 deg GLAT [-85.8/86.5] Galactic latitude
144-148 F5.2 mag Rmag [5.8/14.9] KELT R band magnitude
150-154 F5.2 mag Jmag [1/13.8] 2MASS J band magnitude
156-160 F5.2 mag Hmag [-0.1/12.8] 2MASS H band magnitude
162-166 F5.2 mag Ksmag [-0.7/12.7] 2MASS Ks band magnitude
168-171 I4 d Per [53/1328] Period
173-176 I4 d E_Per [54/1548] Upper uncertainty for Per
178-181 I4 d e_Per [52/1108] Lower uncertainty for Per
183-187 F5.2 --- SNLS [0.8/7.9] Lomb-Scargle signal-to-noise
189-189 I1 --- f_2MASS [0/1] Mismatch flag (1)
191-257 A67 --- FileName Name of the file wilt light curve data
in subdirectory lc
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Note (1):
1 = The colors of these stars are likely spurious as most stars in this
region were found to have incorrect 2MASS identifications due to
blending. These stars failed to be corrected for blending via the
procedure described in Section 4.1.
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Byte-by-byte Description of file: lc/*
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Bytes Format Units Label Explanations
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1- 11 F11.6 d JD Julian date (JD-2450000)
13- 23 F11.8 mag Rmag KELT R magnitude
25- 27 F3.1 mag e_Rmag [0.1/0.1] magnitude uncertainty
29- 31 F3.1 mag E/W [0/1] index which signifies if the light curve
data derives from the eastern (0)
or western (1) KELT object
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History:
* 17-Jul-2020: From electronic version of the journal
* 28-Sep-2020: light curves files added (from author,
Robert Arnold, raa314 [at] lehigh.edu)
(End) Prepared by [AAS], Emmanuelle Perret [CDS] 10-Jun-2020