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Using a small telescope to detect variable stars in Globular Cluster NGC 6779

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Elements of all variables Clement (2001), Wehlau & Sawyer Hogg (1985) ... simbad.u-strasbg.fr/sim-fid.pl. Wehlau A., Sawyer Hogg, H., 1985, Astro J. 90(12) ... – PowerPoint PPT presentation

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Title: Using a small telescope to detect variable stars in Globular Cluster NGC 6779


1
Using a small telescope todetect variable stars
in Globular Cluster NGC 6779
AAVSO Spring Meeting 26 March 2005
  • Jerry D. Horne
  • San Jose, California USA

2
Contents
  • Abstract
  • Known variables in the cluster
  • The Research Study
  • The Equipment
  • The Observations
  • Data Reduction
  • Variable Detection Methods
  • Detected Variables
  • Color-Magnitude Diagrams
  • Conclusions

3
Abstract
  • The nominal feasibility of utilizing small
    instruments, in near-urban environments, to
    detect variable stars in globular clusters is
    demonstrated through the use of modern CCD
    cameras and commercially available image
    processing software.
  • Specifically, a 0.25 meter telescope and a
    camera with a 550 x 752 CCD array was used to
    detect and perform photometry of six of the known
    twelve variable stars in NGC 6779 (M56). Two
    commercial image processing and photometric
    analysis software packages were utilized, and
    multiple variable detection techniques were
    examined. The periods of five variables were
    derived and B-V and V-I color magnitude diagrams
    for the entire cluster were developed.

4
NGC 6779 (M56)
  • R.A. 19 16.6
  • Dec. 30 11
  • Constellation Lyra
  • Distance 32,900 light-years.
  • Diameter 8.8 arc minutes
  • B-V color index of 0.86
  • Visual Brightness 8.3

5
NGC 6779
6
NGC 6779 CCD Image
7
Known Variables
  • Elements of all variables Clement (2001), Wehlau
    Sawyer Hogg (1985) 
  • No. x" y" Max. Min. Epoch
    Period Remarks1
  • 1 44.69 74.10 15.4 16.6 45252.316
    1.510019 Cep,Sp,V,mem
  • 2 18.16 33.09 15.2 15.8 irr
  • 3 25.10 91.69 14.3 15.2 SR
    Sp,V,mem
  • 4 -112.13 -159.46 16.2 16.9 45250.403
    0.423096?, alt 0.734873
  • 5 6.79 -134.78 14.4 15.2 SR
  • 6 - 2.02 37.06 12.9 14.9 42256.734
    90.00 RVTau,Sp,V,mem
  • 7 293.48 -213.24 15.7 16.7
    irr f
  • 8 -97.63 -335.90 16.0 16.9
    irr f
  • 9 177 525 15.7 16.5
    irr f
  • 10 -431.53 88.33 16.8 18.3 45277.308
    0.598890 RR0, f
  • 11 -415.58 283.80 15.6 16.7 45250.331
    0.07562534 SX Phe?f
  • 12 -243.96 - 95.41 16.3 17.3 45582.594
    0.90608 RR0/Cep?

8
A Research Project
  • Relatively few formal studies on M56
  • All performed with 1m-2m telescopes
  • New CCD equipment software
  • Greatly expand the capabilities of smaller scopes
  • Could this work be done with smaller telescopes?
  • Rowe (2000) et al, suggested such possible
    research projects

9
The Equipment Software
  • Meade 10in (254mm) LX200
  • Permanently Mounted
  • Starlight Express MX716 CCD
  • 550 x 720 pixel array
  • Johnson B,V,I Photometric Filters
  • MaximDL/CCD (Ver 4) used for imaging
  • AiP4Win used for data photometric data extraction

10
The Location
  • San Jose, CA 37-20N 121-49W

11
The Observations
  • Taken at f/6.3 and f/10
  • Series of 30-second exposures
  • Images taken primarily for detection
  • Using no filter to maximize photons
  • Other images taken
  • Using Johnson B, V, and I filters
  • All exposures were dark bias subtracted, and
    flat-fielded

12
The Observations
13
Data Reduction
  • For detection, 16 images were stacked and
    aligned.
  • Photometry data was obtained with AIP4WINs
    Extractive Photometry Tool (high sensitivity
    setting)
  • Extraction was also performed using the SPS
    Stellar Photometry Software package
  • Janes and Heasley (1993)
  • Very similar results

14
Photometric Transforms
  • Landolt standard were observed

15
Photometric Transforms
  • Transformation Equations Developed
  • (B-V)s 0.92114(B-V)i - 0.0425
  • (V-I)s 1.2532(B-V)i 2.3506

16
Variable Star Detection
  • Elements of all variables Clement (2001), Wehlau
    Sawyer Hogg (1985) 
  • No. x" y" Max. Min. Epoch
    Period Remarks1
  • 1 44.69 74.10 15.4 16.6 45252.316
    1.510019 Cep,Sp,V,mem
  • 2 18.16 33.09 15.2 15.8 irr
  • 3 25.10 91.69 14.3 15.2 SR
    Sp,V,mem
  • 4 -112.13 -159.46 16.2 16.9 45250.403
    0.423096?, alt 0.734873
  • 5 6.79 -134.78 14.4 15.2 SR
  • 6 - 2.02 37.06 12.9 14.9 42256.734
    90.00 RVTau,Sp,V,mem
  • 7 293.48 -213.24 15.7 16.7
    irr f
  • 8 -97.63 -335.90 16.0 16.9
    irr f
  • 9 177 525 15.7 16.5
    irr f
  • 10 -431.53 88.33 16.8 18.3 45277.308
    0.598890 RR0, f
  • 11 -415.58 283.80 15.6 16.7 45250.331
    0.07562534 SX Phe?f
  • 12 -243.96 - 95.41 16.3 17.3 45582.594
    0.90608 RR0/Cep?

17
Variable Star Detection
  • Given coordinates not accurate enough for
    immediate detection of variables
  • Because the center coordinates and epochs are not
    entirely clear from previous studies,
  • Clement notes the given x-y coordinates can be
    used to aid in identifying the variables, but
    they can not be used for finding the precise
    locations. Clement (2001).
  • Other methods needed

18
Variable Star Detection
  • Several scatter techniques was used to find the
    variables
  • (e.g.) Chi-Square variability statistic, (Saha
    Hoessel 1990)



n number of data points (images) i
image number m magnitude of star
average mag (all images)
s
mag uncertainty
n
n -1
gt 1.75 were identified as possible variable star
candidates
19
Variable Star Detection
  • A computer program was developed that read in the
    text files generated by either SPS or AIP4Win,
    matched stars for each image, and developed the
    variability statistic for each star
  • Two detection cycles were run.
  • The first, concentrating on detecting long period
    and irregular variability was run over all the
    images
  • The second, concentrating on detection the short
    period variables, was run over a consecutive
    three night set of observations
  • Possible candidates were confirmed or eliminated
    using standard differential photometry techniques
    on each image

20
Variable Star Detection
  • Results of Scatter Techniques
  • Large number of false positives were seen
  • Due in part to artifacts from stacking and
    alignment
  • V1, V3, V4, and V6 were easily detected. (large
    chi-square value)
  • V2 and V5 present but with low chi-square value
    (confirmed by differential photometry)

21
Variable Star Detection
  • Another method, Image Subtraction, was attempted
  • using the ISIS program developed by Alard (1999).
  • This technique did not seem as robust in
    determining the faint variables in the images
    from this study, and only V6 was detected via
    this method.

22
Additional Analyses
  • Periods of the detected stars were obtained by
    using the period analysis tool Peranso, from the
    CBA Belgium Observatory
  • Using the Photometric transform equations, B-V
    and V-I indices were determined for the detected
    variables
  • B-V and V-I color-magnitude charts for the entire
    cluster were developed.

23
Detected Variables in NGC 6779
24
Detected Variables in NGC 6779
25
Other Variables in NGC 6779
  • These variables were either not detected, or were
    out of the field of view of the CCD camera for
    this study.
  • Wehlau et al (1985), indicates that variables
    V7, V8, V9, V11 are probable field stars and not
    members of the cluster.
  • Rishels analysis (1981), tends to confirm that
    these stars (at extended distances from the
    cluster), are not part of the cluster membership

26
Color Magnitude Diagrams
V-I 1.4
B-V 1.16
27
Conclusions
  • Six Variables Detected
  • Four variables easily
  • Good agreement with literature on period and
    color indices
  • Cluster Color Magnitude Diagrams consistent

28
Conclusions
  • Much of the work previously done on Globular
    Clusters with larger instruments can be performed
    with much smaller scopes and modern equipment
    and software

29
References (1)
  • Alard, C. Lupton R.H., 1998 ApJ, 503, 325
  • Alard C. 2000, AA, 144, 363
  • Clement, C. M., Muzzin, A., et al, 2001,
    Astronomical Journal, 122, 2587-2599
  • Clement C. 2000, http//www.astro.utoronto.ca/ccle
    ment/cat/clusters.html
  • Davis, H., 1917, PASP 29..210D.
  • Hatzidimitriou D., Antoniou V., et al, 2004, Mon
    Not., R Astron Soc, 348, 1157-1163
  • Janes K., Heasley J., , 1993, PASP 105 527-537
  •  Rawson, D. Macri, L., et al, 1997, ApJ
    490517556
  •  Rishel, B., Sanders W. Schroder R., 1981, Astro.
    Astrophys. Suppl. Ser. 45, 443-450.
  •  Rosenberg A., Aparicio, A, Saviane, I., and
    Piotto, G., 2000, A A, Suppl. Ser. 144, 5-38.

30
References (2)
  • Rowe, J.F., 2000, JAAVSO Preprint
  •  Russeva T., 1999, IBVS 4727.
  •  Russeva T., 2000, IBVS 4846
  •  Saha, A., Hoessel, J. G. 1990, AJ, 99, 97
  •  Shapley H. 1920, ApJ, 52 73
  •  Simbad http//simbad.u-strasbg.fr/sim-fid.pl
  •  Wehlau A., Sawyer Hogg, H., 1985, Astro J.
    90(12).
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