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The discovery and characterization of variable stars in the All-Sky Automated Survey for SuperNovae

Jayasinghe Arachchilage, Tharindu Keshawa
http://orcid.org/0000-0002-6244-477X
http://rave.ohiolink.edu/etdc/view?acc_num=osu1654874527167833

Abstract Details

2022, Doctor of Philosophy, Ohio State University, Astronomy.
While the Universe might at first appear static and unchanging to a casual observer, it is teeming with variable sources and cataclysmic events that mark the births, lives, and deaths of the many and varied objects filling our Universe. In recent years, modern time-domain surveys have revolutionized the study of stellar variability by providing access to time series data for millions of stars in the Milky Way. The All-Sky Automated Survey for SuperNovae (ASAS-SN) monitors the entire visible sky daily using 20 robotic telescopes in Hawaii, Texas, Chile, and South Africa. In addition to the real-time detection of bright supernovae and other transients, archival ASAS-SN data allows for the time series characterization of over 100 million stars. By analyzing the ASAS-SN time series data for ~61 million stars, I made the first homogeneous all-sky catalog of bright variable stars and then uniformly classified them using machine learning techniques. This catalog includes the discovery of ~220,000 new variable stars and ~660,000 variables in total. I present studies that use this catalog combined with information from large scale spectroscopic surveys to study various populations of variable stars. Finally, I present examples of the discovery of rare and unusual variable stars using ASAS-SN, including the most extreme 'heartbeat'' star ever discovered.
Krzysztof Stanek (Advisor)
Todd Thompson (Committee Member)
Christopher Kochanek (Advisor)
481 p.
Astronomy; Astrophysics; Physics
variable stars, stellar astrophysics, time-domain astronomy, ASAS-SN, sky surveys, binary stars, pulsating stars, machine learning

Recommended Citations

Citations

  • Jayasinghe Arachchilage, T. K. (2022). The discovery and characterization of variable stars in the All-Sky Automated Survey for SuperNovae [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1654874527167833

    APA Style (7th edition)

  • Jayasinghe Arachchilage, Tharindu Keshawa. The discovery and characterization of variable stars in the All-Sky Automated Survey for SuperNovae. 2022. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1654874527167833.

    MLA Style (8th edition)

  • Jayasinghe Arachchilage, Tharindu Keshawa. "The discovery and characterization of variable stars in the All-Sky Automated Survey for SuperNovae." Doctoral dissertation, Ohio State University, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=osu1654874527167833

    Chicago Manual of Style (17th edition)

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© 2022, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.