J/AJ/153/144 Magnetic CVs spectra and other variable objects (Oliveira+, 2017)
Exploratory spectroscopy of magnetic cataclysmic variables candidates
and other variable objects.
Oliveira A.S., Rodrigues C.V., Cieslinski D., Jablonski F.J.,
Silva K.M.G., Almeida L.A, Rodriguez-Ardila A., Palhares M.S.
<Astron. J. 153, 144 (2017)>
=2017AJ....153..144O 2017AJ....153..144O (SIMBAD/NED BibCode)
ADC_Keywords: Binaries, cataclysmic ; Spectroscopy
Keywords: binaries: close - novae - cataclysmic variables - stars: dwarf novae -
stars: variables: general - techniques: spectroscopic
Abstract:
The increasing number of synoptic surveys made by small robotic
telescopes, such as the photometric Catalina Real-Time Transient
Survey (CRTS), provides a unique opportunity to discover variable
sources and improves the statistical samples of such classes of
objects. Our goal is the discovery of magnetic Cataclysmic Variables
(mCVs). These are rare objects that probe interesting accretion
scenarios controlled by the white-dwarf magnetic field. In particular,
improved statistics of mCVs would help to address open questions on
their formation and evolution. We performed an optical spectroscopy
survey to search for signatures of magnetic accretion in 45 variable
objects selected mostly from the CRTS. In this sample, we found 32
CVs, 22 being mCV candidates, 13 of which were previously unreported
as such. If the proposed classifications are confirmed, it would
represent an increase of 4% in the number of known polars and 12% in
the number of known IPs. A fraction of our initial sample was
classified as extragalactic sources or other types of variable stars
by the inspection of the identification spectra. Despite the inherent
complexity in identifying a source as an mCV, variability-based
selection, followed by spectroscopic snapshot observations, has proved
to be an efficient strategy for their discoveries, being a relatively
inexpensive approach in terms of telescope time.
Description:
This catalog contains the spectra of the 45 variable objects, which
was observed with SOAR 4.1m telescope at Cerro Pachon, Chile, and
the Perkin- Elmer 1.6m telescope at Observatorio do Pico dos Dias
(OPD-LNA/MCTI), locate in Brazopolis-MG, Brasil.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
table1.dat 124 45 List of objects observed
sp/* . 47 Individual spectra of objects observed in ascii
fits/* . 47 Individual spectra as fits files
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See also:
J/ApJ/696/870 : Catalina Real-time Transient Survey (CRTS) (Drake+, 2009)
J/MNRAS/441/1186 : Cataclysmic variables from CRTS (Drake+, 2014)
J/MNRAS/443/3174 : 72 faint CV candidates in CRTS (Breedt+, 2014)
J/A+A/573/A61 : Photometry of new eclipsing CVs (Southworth+, 2015)
J/MNRAS/456/4441 : Cataclysmic variables outburst catalogue (Coppejans+, 2016)
Byte-by-byte Description of file: table1.dat
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Bytes Format Units Label Explanations
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1- 23 A23 --- Name Object name
25- 36 A12 --- SName Abreviation name
37- 38 I2 h RAh Right ascension (J2000)
40- 41 I2 min RAm Right Ascension (J2000)
43- 44 I2 s RAs Right ascension (J2000)
46 A1 --- DE- Declination sign (J2000)
47- 48 I2 deg DEd Declination (J2000)
50- 51 I2 arcmin DEm Declination (J2000)
53- 54 I2 arcsec DEs Declination (J2000)
56- 73 A18 --- Obs.Date ? Date of observation(s)
75- 78 A4 --- Tel ? Telescope used for observations
80- 83 I4 s ExpTime ? Exposure time
85- 88 A4 --- Type Type of objects (1)
90-105 A16 --- FileName Name of the fits spectrum file in
subdirectory fits
107-124 A18 --- FileName2 Name of the second fits spectrum file for
CSS2108-03 and USNO0825-18
in subdirectory fits
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Note (1): Classification type of objects as follows:
P = polar candidate
D = disk system
D/IP = IP candidate
HA = system with high-state accretion disk
N = Nova
RRL = RR Lyrae star
PRG = Mira or low-amplitude Pulsating Red Giants star
E = extragalactic source
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Byte-by-byte Description of file: sp/*
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Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 16 F16.11 0.1nm lambda Wavelength for each pixel
17- 30 E14.7 mW/m2 Flux Spectral flux density
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Acknowledgements:
Matheus Soares Palhares, matheus_spalhares(at)hotmail.com
(End) Matheus Soares Palhares [IP&D, UNIVAP], Patricia Vannier [CDS] 09-Mar-2017