J/MNRAS/462/3616 Gaia SPSS variability monitoring (Marinoni+, 2016)
The Gaia spectrophotometric standard stars survey.
III. Short-term variability monitoring.
Marinoni S., Pancino E., Altavilla G., Bellazzini M., Galleti S.,
Tessicini G., Valentini G., Cocozza G., Ragaini S., Braga V.,
Bragaglia A., Federici L., Schuster W.J, Carrasco J.M., Castro A.,
Figueras F., Jordi C.
<Mon. Not. R. Astron. Soc. 462, 3616 (2016)>
=2016MNRAS.462.3616M 2016MNRAS.462.3616M (SIMBAD/NED BibCode)
ADC_Keywords: Stars, standard ; Stars, variable ; Photometry, UBVRI ;
Photometry, ugriz
Keywords: techniques: photometric - binaries: general -
stars: variables : general
Abstract:
We present the results of the short-term constancy monitoring of
candidate Gaia Spectrophotometric Standard Stars (SPSS). We obtained
time series of typically 1.24 hour - with sampling periods from 1-3
min to a few hours, depending on the case - to monitor the constancy
of our candidate SPSS down to 10mmag, as required for the calibration
of Gaia photometric data. We monitored 162 out of a total of 212 SPSS
candidates. The observing campaign started in 2006 and finished in
2015, using 143 observing nights on nine different instruments
covering both hemispheres. Using differential photometry techniques,
we built light curves with a typical precision of 4 mmag, depending on
the data quality. As a result of our constancy assessment, 150 SPSS
candidates were validated against short term variability, and only 12
were rejected because of variability including some widely used flux
standards such as BD+174708, SA 105-448, 1740346, and HD 37725.
Description:
Best light curves and results of the constancy assessment for the 162
monitored Gaia Spectro-Photometric Standard Star (SPSS) candidates.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
table3.dat 148 162 Results of the SPSS short-term constancy
monitoring campaigns
table2.dat 69 9377 Best light curves for the 162 monitored SPSS
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See also:
J/MNRAS/426/1767 : SPSS I. (Pancino+, 2012)
J/MNRAS/503/3660 : SPSS V. (Pancino+, 2021)
Byte-by-byte Description of file: table3.dat
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Bytes Format Units Label Explanations
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1- 3 I3 --- SPSSid [1/355] The SPSS id
5- 27 A23 --- StarName The SPSS name
29- 30 I2 h RAh Right Ascension (J2000)
32- 33 I2 min RAm Right Ascension (J2000)
35- 39 F5.2 s RAs Right Ascension (J2000)
41 A1 --- DE- Declination sign (J2000)
42- 43 I2 deg DEd Declination (J2000)
45- 46 I2 arcmin DEm Declination (J2000)
48- 52 F5.2 arcsec DEs Declination (J2000)
54- 58 A5 --- SpType Spectral Type
60- 66 A7 --- Inst The instrument used
68 A1 --- Band [BVg] The photometric band used
70- 76 A7 --- SkyQual Sky quality
78- 79 A2 --- l_Amp [<≥ ] Limit flag on Amp (1)
80- 85 F6.4 mag Amp Amplitude (2)
87- 92 F6.4 mag SigPrec Precision of the light curve
94- 95 I2 --- CompStars Number of comparison stars
97-104 A8 --- Verdict Verdict, Accepted or Rejected (3)
106-148 A43 --- Notes Additional comments
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Note (1): indicates whether the following column is an upper (≤ ) or lower (≥)
limit or a determination (=) of the amplitude
Note (2): the minimum tested amplitude in case of constant stars, or the maximum
observed amplitude in case of variable stars
Note (3): specifies whether the star can be used as a Gaia SPSS
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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- 3 I3 --- SPSSid [1/355] The SPSS id
5- 27 A23 --- StarName The SPSS name
29- 35 A7 --- Inst The instrument used
37- 52 F16.8 d HJD Heliocentric Julian Day
54 A1 --- Band [BVg] The photometric band used
56- 62 F7.4 mag Dm The magnitude difference of each point with
respect to the average magnitude of
comparison stars
64- 69 F6.4 mag dm The errors of individual epoch measures for
the SPSS
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Acknowledgements:
Silvia Marinoni, silvia.marinoni(at)asdc.asi.it
References:
Pancino et al., Paper I 2012MNRAS.426.1767P 2012MNRAS.426.1767P, Cat. J/MNRAS/426/1767
Altavilla et al., Paper II 2015AN....336..515A 2015AN....336..515A
Altavilla et al., Paper IV 2021MNRAS.501.2848A 2021MNRAS.501.2848A
Pancino et al., Paper V 2021MNRAS.503.3660P 2021MNRAS.503.3660P, Cat. J/MNRAS/503/3660
(End) Silvia Marinoni [ASDC, Italy], Patricia Vannier [CDS] 10-Nov-2016