J/AJ/142/155         Variable stars photometry from Dome A         (Wang+, 2011)
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Photometry of variable stars from Dome A, Antarctica.
    Wang L., Macri L.M., Krisciunas K., Wang L., Ashley M.C.B., Cui X.,
    Feng L.-L., Gong X., Lawrence J.S., Liu Q., Luong-Van D., Pennypacker C.R.,
    Shang Z., Storey J.W.V., Yang H., Yang J., Yuan X., York D.G., Zhou X.,
    Zhu Z., Zhu Z.
   <Astron. J., 142, 155 (2011)>
   =2011AJ....142..155W
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ADC_Keywords: Stars, variable ; Photometry, SDSS
Keywords: site testing - stars: variables: general

Abstract:
    Dome A on the Antarctic plateau is likely one of the best observing
    sites on Earth thanks to the excellent atmospheric conditions present
    at the site during the long polar winter night. We present
    high-cadence time-series aperture photometry of 10000 stars with
    i<14.5mag located in a 23deg^2^ region centered on the south celestial
    pole. The photometry was obtained with one of the CSTAR telescopes
    during 128 days of the 2008 Antarctic winter. We used this photometric
    data set to derive site statistics for Dome A and to search for
    variable stars. Thanks to the nearly uninterrupted synoptic coverage,
    we found six times as many variables as previous surveys with similar
    magnitude limits. We detected 157 variable stars, of which 55% were
    unclassified, 27% were likely binaries, and 17% were likely pulsating
    stars. The latter category includes {delta} Scuti, {gamma} Doradus,
    and RR Lyrae variables. One variable may be a transiting exoplanet.


Description:
    An observatory that can operate year round without interruptions is
    required to best capitalize upon the advantages provided by the
    Antarctic plateau. We have built such an observatory at Dome A, called
    PLATO (PLATeau Observatory), and a quad-telescope called CSTAR (the
    Chinese Small Telescope ARray). Observations were conducted from 2008
    March 20 through 2008 July 27; during this interval, more than 287800
    frames were acquired with a total integration time of 1615hr. The
    total amount of raw data collected during the observing season was
    about 350GB. Two groups have carried out independent analyses of the
    data; one at the National Astronomical Observatories of the Chinese
    Academy of Sciences (Zhou et al. 2010PASP..122..347Z) and another at
    Texas A&M University and Beijing Normal University (present work).

File Summary:
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 FileName     Lrecl   Records    Explanations
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ReadMe          80         .    This file
table3.dat      83       157    Variable stars observed
table6.dat      36       639    Fourier analysis of variable star candidates
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See also:
 B/gcvs : General Catalogue of Variable Stars (Samus+ 2007-2012)
 I/305  : The Guide Star Catalog, Version 2.3.2 (GSC2.3) (STScI, 2006)
 J/ApJS/188/473 : Chandra variable guide star catalog (Nichols+, 2010)
 J/A+A/499/967  : Long-term monitoring of {gamma} Dor stars (Cuypers+, 2009)
 J/ApJ/598/597  : Frequency analysis of RR Lyrae (Alcock+, 2003)
 J/AJ/115/1016  : M31B eclipsing binaries and Cepheids (Kaluzny+ 1998)

Byte-by-byte Description of file: table3.dat
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   Bytes Format Units   Label    Explanations
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   1-  6  I6    ---     ID       [572/136863] CSTAR identification
   8- 17  A10   ---     GSC2.3   Identification from Guide Star Catalog (1)
  19- 20  I2    h       RAh      Hour of Right Ascension from GSC2.3 (J2000) (2)
  22- 23  I2    min     RAm      Minute of Right Ascension from GSC2.3 (J2000)
  25- 29  F5.2  s       RAs      Second of Right Ascension from GSC2.3 (J2000)
      31  A1    ---     DE-      [-] Declination sign from GSC2.3 (J2000) (2)
  32- 33  I2    deg     DEd      Degree of Declination from GSC2.3 (J2000)
  35- 36  I2    arcmin  DEm      Arcminute  of Declination from GSC2.3 (J2000)
  38- 41  F4.1  arcsec  DEs      Arcsecond  of Declination from GSC2.3 (J2000)
  43- 47  F5.2  mag     imag     CSTAR mean i band magnitude
  49- 57  F9.6  d       Per      ? Main period
  59- 61  A3    ---   n_Per      Source of period determination (3)
  63- 69  F7.4  d       T0       ? Epoch of minimum light (JD-2454500) (4)
  71- 83  A13   ---     Type     Tentative classification of variable type (5)
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Note (1): The Guide Star Catalog, version 2.3.2 (GSC2.3, Cat. I/305).
     The GSC2.3 identification differs from GSC2.2 preliminary version: 10
     characters, the first four representing the level-6 HTM (Hierarchical
     Triangular Mesh) coded in base 36 (0..9 and A..Z), and the last 6
     represent a zero-filled sequence number assigned to each source upon
     initial detection.
Note (2): If the star is not in GSC2.3, the position is based on the CSTAR
          master image.
Note (3): Code as follows:
    LS = Lomb-Scargle method (Lomb 1976Ap&SS..39..447L; Scargle
          1982ApJ...263..835S);
   BLS = box fitting algorithm (Kovacs et al. 2002A&A...391..369K);
   P04 = Fourier decomposition with Period04 program (Lenz & Breger
          2005CoAst.146...53L).
          See section 5.1 for further explanations.
Note (4): Of primary eclipse or minimum light (JD-2454500), when applicable.
Note (5): Code as follows:
     [A] = variable from All Sky Automated Survey;
     [G] = variable from the General Catalog of Variable Stars (Cat. B/gcvs);
   CW-FO = W Virginis variable, first-overtone pulsator;
 DCEP-FU = Delta Cephei variable,fundamental-mode pulsator;
    DSCT = Delta Scuti variable;
      EC = contact binary;
     ESD = semi-detached binary;
      ED = detached binary;
    GDOR = Gamma Doradus variable;
      LT = long-term trend;
 MISC/SR = Miscellaneous/semi-regular variable;
     RRL = RR Lyrae variable.
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Byte-by-byte Description of file: table6.dat
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  Bytes Format Units  Label  Explanations
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  1-  6  I6    ---    ID     [572/133742] CSTAR identification
  8- 17  F10.6 d-1    Freq   Frequency; in units of cycle/day
 19- 24  F6.2  mmag   Amp    [0.23/281.91] amplitude of the peak
 26- 30  F5.2  ---    S/N    Signal-to-noise ratio of each peak
 32- 36  A5    ---    Notes  Relations between primary and other frequencies (1)
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Note (1): We searched for multiple periods in the time-series photometry of the
     variables using the Period04 program (Lenz & Breger, 2005CoAst.146...53L). 
     We started by identifying the frequency (f1) that displayed the
     highest S/N peak in the periodogram. Next we prewhitened the time
     series (i.e., subtracted off the most significant frequency) and
     searched for the next highest peak in the frequency spectrum. We
     repeated the process until all peaks with S/N>4 were identified.

     For example, consider the variable CSTAR#061353, shown in Figure 17.
     There are three significant peaks in the periodogram, with
     f_i_=44.2879, 44.1690, and 42.1209 cycles/day) and S/Ns of 15.8, 15.7,
     and 15.0, respectively. See section 5.2.
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History:
    From electronic version of the journal

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(End)                Greg Schwarz [AAS], Sylvain Guehenneux [CDS]    11-Mar-2013
