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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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Main Author: MAYANGSARI (NIM : 10308004); Pembimbing : Dr. Mahasena Putra, LIDIA
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/16282
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:16282
spelling 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
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description 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.
format Final Project
author MAYANGSARI (NIM : 10308004); Pembimbing : Dr. Mahasena Putra, LIDIA
spellingShingle MAYANGSARI (NIM : 10308004); Pembimbing : Dr. Mahasena Putra, LIDIA
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author_facet MAYANGSARI (NIM : 10308004); Pembimbing : Dr. Mahasena Putra, LIDIA
author_sort MAYANGSARI (NIM : 10308004); Pembimbing : Dr. Mahasena Putra, LIDIA
title #TITLE_ALTERNATIVE#
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url https://digilib.itb.ac.id/gdl/view/16282
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