Issue |
A&A
Volume 503, Number 2, August IV 2009
|
|
---|---|---|
Page(s) | 651 - 662 | |
Section | Catalogs and data | |
DOI | https://doi.org/10.1051/0004-6361/200912142 | |
Published online | 02 July 2009 |
Deep census of variable stars in a VLT/VIMOS field
in Carina
,![[*]](/icons/foot_motif.png)
P. Pietrukowicz1,2 - D. Minniti1,3 - J. M. Fernández1,4 - G. Pietrzynski5,6 - M. T. Ruíz7 - W. Gieren5 - R. F. Díaz8 - M. Zoccali1 - M. Hempel1
1 - Departamento de Astronomía y Astrofísica,
Pontificia Universidad Católica de Chile, Av. Vicuña MacKenna 4860,
Casilla 306, Santiago 22, Chile
2 -
Nicolaus Copernicus Astronomical Center, ul. Bartycka 18, 00-716 Warszawa, Poland
3 -
Vatican Observatory, Vatican City State 00120, Italy
4 -
Harvard-Smithsonian Center for Astrophysics, 60 Garden Street,
Cambridge, MA 02138, USA
5 -
Departamento de Astronomía, Universidad de Concepción, Casilla 160 C,
Concepción, Chile
6 -
Warsaw University Observatory, Al. Ujazdowskie 4, 00-478 Warszawa, Poland
7 -
Departamento de Astronomía, Universidad de Chile, Casilla 36-D, Santiago, Chile
8 -
Instituto de Astronomía y Física del Espacio (CONICET-UBA), Buenos Aires, Argentina
Received 24 March 2009 / Accepted 26 May 2009
Abstract
Aims. We searched for variable stars in deep V-band images of a field towards the Galactic plane in Carina.
Methods. The images were taken with the VIMOS instrument at ESO VLT during 4 contiguous nights in April 2005. We detected 348 variables among 50 897 stars in the magnitude range between V=15.4 and V=24.5 mag. After detection, we classified the variables by a direct eye inspection of their light curves.
Results. All variable objects besides 9 OGLE transits in the field are new discoveries. We provide a complete catalog of all variables, which includes eclipsing/ellipsoidal binaries, miscellaneous pulsators (mostly Scuti-type variables), stars with flares, and other (irregular and likely long-period) variables. Only two of the stars in our sample are known to host planets.
Conclusions. Our result has implications for future large variability surveys.
Key words: stars: variables: general - stars: variables: delta Sct - binaries: eclipsing - stars: flare - planetary systems - stars: statistics
1 Introduction
Variable stars provide important information about the nature and evolution
of stars in various regions of our Galaxy. Eclipsing binary stars provide us
information about the masses and radii of stars (see e.g., Popper 1985; Huang & Struve 1956).
For some, i.e. the detached systems, it is possible to measure distances
(Paczynski 1997), which is particularly useful in the case of star clusters
(see e.g., Kaluzny et al. 2007; Bonanos et al. 2006). Pulsating variables, such as Cepheids
and RR Lyrae, serve as such distance indicators (e.g., Benedict et al. 2007; Feast et al. 2008).
The type of pulsators known as Scuti stars offer unique
insight into the internal structure and evolution of main-sequence
objects (Thompson et al. 2003; Goupil et al. 2005).
Following the advent of large-scale wide-field photometric surveys,
the number of new variables has increased rapidly.
The surveys are usually dedicated to the detection of particular objects,
such as transiting extrasolar planets, microlensing events, or gamma ray burst
afterglows, e.g., MACHO (Alcock et al. 2000) and OGLE surveys (Udalski et al. 2003).
Most of the wide-field surveys are conducted with small (less than 0.5 m)
robotic telescopes, such as ASAS (All-Sky Automated Survey, Pojmanski 2001),
and ROTSE (Robotic Optical Transient Search Experiment, Wozniak 2004),
allowing the search for variability only for bright stars (down
to 15 mag in the V band). Until recently, large telescopes, i.e.,
those of 4-10 m in diameter, have focused instead on individual
objects, because of their small fields of view. Practically, there
have been very few long and deep variability surveys. In this paper, we present
the results of searches for variable objects in deep imaging (down to
mag)
of a Galactic field in the constellation of Carina, based on data collected with an 8-m
telescope for 4 continuous nights. Our results show the great potential of
upcoming large visual and near-infrared surveys, such as LSST
(Large Synoptic Survey Telescope, Ivezic et al. 2008), VVV (Vista
Variables in Via Lactea, Ahumada & Minniti 2006), or Pan-STARRS (Kaiser et al. 2002).
![]() |
Figure 1: The seeing during the four observing nights. |
Open with DEXTER |
![]() |
Figure 2: The photometric errors for 12 571 stars from the VIMOS quadrant A2 plotted as a function of V magnitude. |
Open with DEXTER |
![]() |
Figure 3:
Magnitude distribution of all analysed stars (50 897 objects),
all detected variables in the sample (348 objects), all stars classified
as eclipsing/ellipsoidal binaries (148 objects), and all |
Open with DEXTER |
2 Observations and data reduction
Observations were carried out with VIMOS at the Unit Telescope 3 (UT3) of the
European Southern Observatory Very Large Telescope (ESO VLT) located at Paranal
Observatory from April 9 to 12, 2009. VIMOS is an imager and multi-object
spectrograph (LeFevre et al. 2003). Its field of view consists of 4 quadrants of about
each, separated by a cross,
wide.
The CCD size is
pixels with a pixel size of
.
The main goal of the program was to complete photometric follow-up of over 30 OGLE
transiting candidates. Some individual results were published by Fernández et al. (2006),
Díaz et al. (2007), Hoyer et al. (2007), Minniti et al. (2007), Díaz et al. (2008), and Pietrukowicz et al. (2009).
The field analyzed in this paper is one out of four VIMOS fields
monitored during the run, and is the only one which was observed during
4 full nights. Equatorial coordinates of the center of the field are
RA(2000.0) = 1052
56
,
Dec(2000.0) = -61
28
15
,
or
,
.
The field contains 9 OGLE transits,
two of which were confirmed to be caused by planets:
OGLE-TR-111b (Pont et al. 2004) and OGLE-TR-113b (Konacki et al. 2004; Bouchy et al. 2004).
All 4 nights were clear throughout, with sub-arcsecond seeing during most
of the time (see Fig. 1). The dataset consists of 660 images taken only
in the V-band.
The periphery of each quadrant suffers from coma. Therefore, for our
analysis we cut out a slightly smaller area of
pixels,
covering
.
The total field in which we searched
for variable objects equals 186.3 arcmin2.
The photometry was extracted with the help of the Difference Image
Analysis Package (DIAPL) written by Wozniak (2000) and modified
by W. Pych. The package is an implementation
of a method developed by Alard & Lupton (1998). To obtain higher quality
photometry, we divided the field into
pixel subfields.
![]() |
Figure 4: Period distribution ( upper panel) and amplitude distribution ( lower panel) for eclipsing binaries with estimated period. |
Open with DEXTER |
![]() |
Figure 5: Light curves for eclipsing or ellipsoidal variables with estimated periods (part 1 of 3). The identifications and periods in days are given for each object. |
Open with DEXTER |
![]() |
Figure 6: Light curves for eclipsing or ellipsoidal variables with estimated periods (part 2 of 3). |
Open with DEXTER |
![]() |
Figure 7: Light curves for eclipsing or ellipsoidal variables with estimated periods (part 3 of 3). Note that the object V278 is the OGLE transit TR-109 phased with a transiting period of 0.589127 d. |
Open with DEXTER |
Reference frames were constructed by combining 8 or 9 of the highest quality individual images (depending on the quadrant). The profile photometry for the reference frame was extracted with DAOPHOT/ALLSTAR (Stetson 1987). These measurements were used to transform the light curves from differential flux units into instrumental magnitudes, which were later transformed into standard V-band magnitudes by adding an offset derived from V-band magnitudes of the planetary transits located in the field (Minniti et al. 2007; Díaz et al. 2007). The quality of the photometry is illustrated in Fig. 2. In this figure, we plot the standard deviation versus the average magnitude for stars from one of the VIMOS quadrants.
Because of the short period of the observations, we decided to look for
variables initially by direct eye inspection of all 50 897 light curves.
For comparison and more reliable statistics, we performed an independent
period search with the TATRY code (see Schwarzenberg-Czerny 1989,1996). After the
automatic search, we sorted all stars in order of decreasing the variability
(quality) factor generated by the code, and we considered at the most promising
light curves. The total number of detected variables reached 348 objects.
Interestingly, among 175 periodic variables except Scuti
stars, only four additional variables were found, and up to 51 variables were
missed by automatic search compared to the by-eye method.
The missing objects were mostly faint (V>19 mag) low-amplitude
(
mag) stars.
Finally, all detected variables were sorted by increasing right ascension and classified by considering at the shape of the light curves and their possible periods.
3 The variables
Figure 3 shows four histograms representing the magnitude distributions
for all stars, all variables, eclipsing/ellipsoidal binaries, and Scuti
stars, respectively. The distribution for the complete sample of variable
stars peaks at
mag. The number of eclipsing/ellipsoidal
variables starts to decrease below approximately V=19.5 mag, but many
faint objects of this type were still detected because of their high amplitudes.
For
Scuti stars, which have typical amplitudes of 0.02-0.06 mag,
the detection efficiency seems to peak at
mag.
Very few stars of this type were found to be fainter than V=20 mag.
3.1 Eclipsing variables
In Fig. 4, we show the period and amplitude distributions for eclipsing/ellipsoidal
binaries. The distribution for the shortest periods could be fit by a Gaussian with
a mean period of 0.31 d. This value differs slightly from the mean value of 0.277 d
and
d found by Weldrake & Bayliss (2008) for a Galactic plane field in Lupus,
and the value of 0.37 d derived from ASAS data (Paczynski et al. 2006).
From the amplitude distribution, we conclude that about three fourths
of the sample binaries have V amplitudes below 0.7 mag.
The following figures, Figs. 5-7, illustrate phased light curves
for all 121 eclipsing/ellipsoidal variables, for which we were able
to derive accurate periods. We note that the faintest eclipsing variable
found in our data, V050, has a maximum brightness of about 23.3 mag
and an amplitude of 1.4 mag in V. System V009 has the largest
amplitude of 2.23 mag. Variable V149 shows short and shallow eclipses besides
the sinusoidal changes in its brightness. It may be an RS CVn binary,
but more data is needed to answer question about its nature.
Variable V278 corresponds to the transit OGLE-TR-109 phased with the transiting
period of 0.589127 d. The analysis of the photometric data of Fernández et al. (2006),
and the high-resolution spectroscopic data of Pont et al. (2005), leaves the
nature of the object unclear. Two scenarios are possible: OGLE-TR-109
can be either a blend of the star with a background eclipsing binary
or a transiting planet (which is less likely because of its very short period).
In Fig. 8, we present the light curves of stars showing one or two eclipses,
but for which the time-span of our observations was not sufficient to estimate
the period. Some variables in this sample need further explanation. Star V314
is known as the transit OGLE-TR-106 with a period of 2.53585 days (Udalski et al. 2002).
Pont et al. (2005) show that this object is not a transiting planet
but an eclipsing binary whose one of the companions is a low mass
M dwarf with
.
Object V041 changed its brightness by about 0.25 mag showing an unexpected
flat-bottom eclipse during the second night. This eclipse
lasted about 4.5 h, had an amplitude of 0.05 mag,
and suggests a periodicity in the object. The overall shape of the
light curve is indicative of a periodic behavior, too.
Based on the incomplete photometric data, we can only speculate about
the nature of the variable by asking several questions.
Is this object an eclipsing binary containing a primary pulsating star,
or is it just a blend? Was the observed eclipse a transit of
a planetary/low-luminosity object or the secondary eclipse of a binary system?
If it is indeed a true binary, what are the parameters of the components?
More data are needed to find answers in this very interesting case.
The light curve of eclipsing variable V224 features some kind of bumps occurring regularly toward the end of every night. The bumps are caused by the diffraction spikes of a nearby saturated star.
![]() |
Figure 8: Light curves for other eclipsing variables. Note that the object V314 is the OGLE transit TR-106 with an M dwarf star as a component. |
Open with DEXTER |
3.2 Pulsating variables
We classified 99 stars as Scuti type pulsators. Their light
curves are shown in Figs. 9-11. The amplitudes of all the stars except V340
are in the range between 0.015 and 0.230 mag. The variable V340
has an exceptionally large amplitude of about 1.0 mag. We do not attempt
to derive exact periods, since most of the stars are multiperiodic
variables, and hence require more sophisticated analysis, which will be
the subject of future studies.
![]() |
Figure 9:
Light curves for detected |
Open with DEXTER |
![]() |
Figure 10:
Light curves for detected |
Open with DEXTER |
![]() |
Figure 11:
Light curves for detected |
Open with DEXTER |
Results for other pulsating variables are shown in Figs. 12, 13. The periods of the variables range between 0.2307 and 4.1527 days. Variables V010, V018, V038, V049, V086, V098, V102, V160, V222, V251, and V342 are good candidates to be RR Lyrae stars, whereas variables V012, V090, V231, and V339 are probably distant Cepheids. Light curves of miscellaneous variables are shown in Fig. 14. For example, variables V017, V029, V030, V128, V233, V241, and V302 are good long-period candidates.
![]() |
Figure 12: Phased light curves for other pulsating variables with estimated periods (part 1 of 2). The identifications and periods in days are given for each object. |
Open with DEXTER |
![]() |
Figure 13: Phased light curves for other pulsating variables with estimated periods (part 2 of 2). |
Open with DEXTER |
![]() |
Figure 14: Light curves of other variable objects. Most of them are likely long-period variables. |
Open with DEXTER |
Table 1: Photometric information about flares detected in seven stars.
3.3 Stars with flares and planetary transits
Light curves of seven stars with flares are shown in Fig. 15. Table 1 summarizes the photometric information about these stars. The amplitudes of flares in the cases of V007 and V094 are larger than 2.0 mag, while in the other five cases they are smaller than 1.0 mag. The fading part of the flare in V294 shows a kind of knee. Star V033 is periodic with P=1.1625 d (the phased light curve is shown in Fig. 12).
Finally, Fig. 16 presents our own photometry of two planetary transits: OGLE-TR-111 (Pont et al. 2004) and OGLE-TR-113 (Bouchy et al. 2004). Both of them are caused by hot Jupiters. For details of the photometry of the transits, we refer to Pietrukowicz et al. (2009).
![]() |
Figure 15: Stars with flares. Note the the object V033 is also a periodic (very likely pulsating) variable with P=1.1625 d for which phased light curve is illustrated in Fig. 12. |
Open with DEXTER |
![]() |
Figure 16: Two planetary transits: V115 (OGLE-TR-113) and V207 (OGLE-TR-111). |
Open with DEXTER |
Table 2: Number of variables of different types found in the data.
4 Conclusions
A search for variable objects in a VIMOS field targeting the Galactic
plane in Carina has detected of 348 variables among 50 897 stars a
faintness level of V=24.5 mag. Only five of the objects were previously known
to be variable, i.e., OGLE transits TR-106, TR-109, TR-110, TR-111,
and TR-113. The last two transits were confirmed to be caused by hot Jupiters,
while the first three appear to be binary stars. We note that four other
OGLE objects are in the same field (TR-105, TR-108, TR-114, and TR-198),
but no variability was detected for them during our observations.
Table 2 provides statistical information about the variables
found.
About half of the detected variables are eclipsing or ellipsoidal binaries,
while the other half are pulsating variables of different types,
mostly Scuti stars. Based on the numbers in Table 2, one can
say that about seven stars in every 1000 exhibit detectable brightness variations.
On average, three of them are eclipsing/ellipsoidal binaries, while three are
pulsating variables (where two are usually
Scuti stars). Other variable
objects in the sample exhibit changes on longer time scales (of more than 4 days)
or represent transient events (stars with flares and transits).
We emphasize that the VIMOS observations lasted only 4 nights, and we were therefore unable to detect variable objects with longer time scales. Long periods are often present in red giants, which are bright and easily detectable.
There has not been any other such deep and of similar time-span and
time-resolution variability survey so far from the ground. However, we can
compare with other two long-term but shallower ground-based surveys that have been
published. For example, Weldrake & Bayliss (2008) found 494 variables in the sample of 110 372
stars in Lupus, what corresponds to .
The percentage of detected variables
in the ASAS survey (Paczynski et al. 2006) is only 0.29%. There, among 17 000 000
stars, 50 099 were found to vary in brightness. The percentage of variables
detected in our work,
of all the stars in the sample, is much higher
than in the two surveys. Also, one must remember that this is only a lower limit
to the variable detection. A deep Hubble Space Telescope survey dedicated
to finding planetary transits was carried out by Sahu et al. (2006). This database would
sample faint variables in the Galactic bulge, useful for comparison with the
present work.
We decided to search for variables by eye initially because of the short period of the VIMOS observations. It is obvious that this method will be inefficient in the case of hundreds of thousands of stars monitored for hundreds of nights. Our variable star search was later automated, yielding similar results. The present results, including the large number of newly detected variables of different types in a limited field, high quality photometry, and high accuracy of the determined periods, show that ground-based wide-field variability surveys are powerful tools for drawing a more detailed picture of our Galaxy.
Acknowledgements
P.P., D.M., J.M.F., G.P., M.T.R., W.G., M.H. are supported by FONDAP Center for Astrophysics No. 15010003 and BASAL Center for Astrophysics and Associated Technologies PFB06. P.P. was also supported by the Foundation for Polish Science through program MISTRZ. M.Z. and D.M. acknowledge support by Proyecto FONDECYT Regular No. 1085278 and 2090213, respectively. We are grateful to the ESO staff at Paranal Observatory.
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Footnotes
- ... Carina
- Based on observations collected with the Very Large Telescope at Paranal Observatory (ESO Programme 075.C-0427(A), D.M. and J.M.F. visiting observers).
- ...
- Time series tables, period and aplitude table are only available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsweb.u-strasbg.fr/cgi-bin/qcat?J/A+A/503/651
- ... Pych
- The package is available at http://users.camk.edu.pl/pych/DIAPL/
- ...
found
- All photometric data, finding charts, and a large table with equatorial coordinates, periods, magnitudes, and amplitudes of the variables are available via anonymous ftp to ftp.astro.puc.cl/pub/pietruk/VIMOSvar/ or cdsarc.u-strasbg.fr
All Tables
Table 1: Photometric information about flares detected in seven stars.
Table 2: Number of variables of different types found in the data.
All Figures
![]() |
Figure 1: The seeing during the four observing nights. |
Open with DEXTER | |
In the text |
![]() |
Figure 2: The photometric errors for 12 571 stars from the VIMOS quadrant A2 plotted as a function of V magnitude. |
Open with DEXTER | |
In the text |
![]() |
Figure 3:
Magnitude distribution of all analysed stars (50 897 objects),
all detected variables in the sample (348 objects), all stars classified
as eclipsing/ellipsoidal binaries (148 objects), and all |
Open with DEXTER | |
In the text |
![]() |
Figure 4: Period distribution ( upper panel) and amplitude distribution ( lower panel) for eclipsing binaries with estimated period. |
Open with DEXTER | |
In the text |
![]() |
Figure 5: Light curves for eclipsing or ellipsoidal variables with estimated periods (part 1 of 3). The identifications and periods in days are given for each object. |
Open with DEXTER | |
In the text |
![]() |
Figure 6: Light curves for eclipsing or ellipsoidal variables with estimated periods (part 2 of 3). |
Open with DEXTER | |
In the text |
![]() |
Figure 7: Light curves for eclipsing or ellipsoidal variables with estimated periods (part 3 of 3). Note that the object V278 is the OGLE transit TR-109 phased with a transiting period of 0.589127 d. |
Open with DEXTER | |
In the text |
![]() |
Figure 8: Light curves for other eclipsing variables. Note that the object V314 is the OGLE transit TR-106 with an M dwarf star as a component. |
Open with DEXTER | |
In the text |
![]() |
Figure 9:
Light curves for detected |
Open with DEXTER | |
In the text |
![]() |
Figure 10:
Light curves for detected |
Open with DEXTER | |
In the text |
![]() |
Figure 11:
Light curves for detected |
Open with DEXTER | |
In the text |
![]() |
Figure 12: Phased light curves for other pulsating variables with estimated periods (part 1 of 2). The identifications and periods in days are given for each object. |
Open with DEXTER | |
In the text |
![]() |
Figure 13: Phased light curves for other pulsating variables with estimated periods (part 2 of 2). |
Open with DEXTER | |
In the text |
![]() |
Figure 14: Light curves of other variable objects. Most of them are likely long-period variables. |
Open with DEXTER | |
In the text |
![]() |
Figure 15: Stars with flares. Note the the object V033 is also a periodic (very likely pulsating) variable with P=1.1625 d for which phased light curve is illustrated in Fig. 12. |
Open with DEXTER | |
In the text |
![]() |
Figure 16: Two planetary transits: V115 (OGLE-TR-113) and V207 (OGLE-TR-111). |
Open with DEXTER | |
In the text |
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