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Variable stars, particularly eclipsing binaries, are very essential astronomical occurence in order to open our knowledge on star properties. Advanced technology <br /> <br /> <br /> <br /> <br /> in astronomical instruments, enriched obeservational technique, and...
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id-itb.:162822017-09-27T11:42:12Z#TITLE_ALTERNATIVE# MAYANGSARI (NIM : 10308004); Pembimbing : Dr. Mahasena Putra, LIDIA Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/16282 Variable stars, particularly eclipsing binaries, are very essential astronomical occurence in order to open our knowledge on star properties. Advanced technology <br /> <br /> <br /> <br /> <br /> in astronomical instruments, enriched obeservational technique, and upgraded both data quality and quantity have broaden our horizon about the special characteristic <br /> <br /> <br /> <br /> <br /> of eclipsing binaries, notably in formation, structure, evolution, and other related studies. Despite these advances, 90% of all bright variable stars (m < 12) have not been discovered (Paczynski 2001). To remedy this lack of data on variable stars, astronomers have initiated astronomical survey projects. For surveys constitute the <br /> <br /> <br /> <br /> <br /> backbone of astronomy, and many breakthrough resulted from them. <br /> <br /> <br /> <br /> <br /> All-Sky Automated Survey (ASAS, Pojmanski 1997) is one of the observing projects whose ultimate goal is the photometric monitoring of variable stars with I < 13. <br /> <br /> <br /> <br /> <br /> Since its first light in 1997, ASAS has collected 50,099 variable stars, with 11,076 of them are classified as eclipsing binary systems (Paczynski et al. 2006). <br /> <br /> <br /> <br /> <br /> Since the number of data points in each ASAS eclipsing binary light curve are sparse, time-wise (unevenly spaced data), period determination of some systems is <br /> <br /> <br /> <br /> <br /> not a straightforward process. Period determination based on Analysis of Variance method (AoV, Schwarzenberg-Czerny 1989) does not always yield the best result. <br /> <br /> <br /> <br /> <br /> Therefor, the present work is focused on the period determination of the eclipsin binaries. For some of such systems, comparisons are drawn between the implementations of Lomb-Scargle algorithm and Phase Dispersion Minimization (PDM) method in determining their periods. Both methods are implemented to 30 ASAS eclipsing binaries to find a better solution. Those 30 ASAS eclipsing binaries are selected systematically and optimized for follow up utilizing small telescope available at Bosscha Observatory, based on their RA, dec, and Vmax. <br /> <br /> <br /> <br /> <br /> We will analyzed the peridicity of the 30 selected objects using computational program, scargle.pro1 (Joern Wilms 2000) for Lomb-Scargle periodogram and pdm.pro2 (Marc W. Buie 1992) for PDM. The period determination process is semi-automatic. The best candidates among statistically possible periods have to be selected under human supervision. Finally, each period analysis method will give its best results. Lomb-scargle algorithm works <br /> <br /> <br /> <br /> <br /> well in sinusoidal light curve, in this case, the contact eclipsing binaries. While PDM is superior when applied to all types of eclipsing binaries. text |
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Variable stars, particularly eclipsing binaries, are very essential astronomical occurence in order to open our knowledge on star properties. Advanced technology <br />
<br />
<br />
<br />
<br />
in astronomical instruments, enriched obeservational technique, and upgraded both data quality and quantity have broaden our horizon about the special characteristic <br />
<br />
<br />
<br />
<br />
of eclipsing binaries, notably in formation, structure, evolution, and other related studies. Despite these advances, 90% of all bright variable stars (m < 12) have not been discovered (Paczynski 2001). To remedy this lack of data on variable stars, astronomers have initiated astronomical survey projects. For surveys constitute the <br />
<br />
<br />
<br />
<br />
backbone of astronomy, and many breakthrough resulted from them. <br />
<br />
<br />
<br />
<br />
All-Sky Automated Survey (ASAS, Pojmanski 1997) is one of the observing projects whose ultimate goal is the photometric monitoring of variable stars with I < 13. <br />
<br />
<br />
<br />
<br />
Since its first light in 1997, ASAS has collected 50,099 variable stars, with 11,076 of them are classified as eclipsing binary systems (Paczynski et al. 2006). <br />
<br />
<br />
<br />
<br />
Since the number of data points in each ASAS eclipsing binary light curve are sparse, time-wise (unevenly spaced data), period determination of some systems is <br />
<br />
<br />
<br />
<br />
not a straightforward process. Period determination based on Analysis of Variance method (AoV, Schwarzenberg-Czerny 1989) does not always yield the best result. <br />
<br />
<br />
<br />
<br />
Therefor, the present work is focused on the period determination of the eclipsin binaries. For some of such systems, comparisons are drawn between the implementations of Lomb-Scargle algorithm and Phase Dispersion Minimization (PDM) method in determining their periods. Both methods are implemented to 30 ASAS eclipsing binaries to find a better solution. Those 30 ASAS eclipsing binaries are selected systematically and optimized for follow up utilizing small telescope available at Bosscha Observatory, based on their RA, dec, and Vmax. <br />
<br />
<br />
<br />
<br />
We will analyzed the peridicity of the 30 selected objects using computational program, scargle.pro1 (Joern Wilms 2000) for Lomb-Scargle periodogram and pdm.pro2 (Marc W. Buie 1992) for PDM. The period determination process is semi-automatic. The best candidates among statistically possible periods have to be selected under human supervision. Finally, each period analysis method will give its best results. Lomb-scargle algorithm works <br />
<br />
<br />
<br />
<br />
well in sinusoidal light curve, in this case, the contact eclipsing binaries. While PDM is superior when applied to all types of eclipsing binaries. |
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MAYANGSARI (NIM : 10308004); Pembimbing : Dr. Mahasena Putra, LIDIA |
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MAYANGSARI (NIM : 10308004); Pembimbing : Dr. Mahasena Putra, LIDIA #TITLE_ALTERNATIVE# |
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MAYANGSARI (NIM : 10308004); Pembimbing : Dr. Mahasena Putra, LIDIA |
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MAYANGSARI (NIM : 10308004); Pembimbing : Dr. Mahasena Putra, LIDIA |
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https://digilib.itb.ac.id/gdl/view/16282 |
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