Exoplanets represent a young, rapidly advancing subfield of astrophysics where much is still unknown. It is therefore important to analyze trends among their parameters to learn more about these systems. More complexity is added to these systems with the presence of additional stellar companions. To study these complex systems, one can employ programming languages such as Python to parse databases such as those constructed by TESS and Gaia to bridge the gap between exoplanets and stellar companions. Data can then be analyzed for trends in these multi-star exoplanet systems and in juxtaposition to their single-star counterparts. This research was able to automate the data collection process and the findings generally concluded that most multi-star systems host stars similar in size to the sun that are cooler, less luminous and will therefore have a longer lifetime. In comparison to single star systems, more complex systems were observed to have slightly larger orbital periods, yet smaller planet radii and mass.
","abstract_html":"<p>Exoplanets represent a young, rapidly advancing subfield of astrophysics where much is still unknown. It is therefore important to analyze trends among their parameters to learn more about these systems. More complexity is added to these systems with the presence of additional stellar companions. To study these complex systems, one can employ programming languages such as Python to parse databases such as those constructed by TESS and Gaia to bridge the gap between exoplanets and stellar companions. Data can then be analyzed for trends in these multi-star exoplanet systems and in juxtaposition to their single-star counterparts. This research was able to automate the data collection process and the findings generally concluded that most multi-star systems host stars similar in size to the sun that are cooler, less luminous and will therefore have a longer lifetime. In comparison to single star systems, more complex systems were observed to have slightly larger orbital periods, yet smaller planet radii and mass.</p>","abstract_has_math":false,"creators":["Bailey, Katie E."],"institution":null,"degree_name":"Master of Science - Natural Sciences","degree_level":"Thesis","degree_discipline":"College of Science and Mathematics","degree_department":null,"school":null,"contributors":["Carl Ziegler, Ph.D.","Hector Ochoa, Ph.D.","Joseph Musser, Ph.D."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-05-01T07:00:00Z","date_published":"2023-05-01T07:00:00Z","updated_at":"2026-07-24T04:30:37Z","subjects":["astrophysics","astronomy","physics","exoplanets","python","Other Astrophysics and Astronomy","Programming Languages and Compilers","Stars, Interstellar Medium and the Galaxy","Statistics and Probability"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarworks.sfasu.edu/etds/490","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Carl Ziegler, Ph.D.","Hector Ochoa, Ph.D.","Joseph Musser, Ph.D."]},{"key":"dc:creator","label":"Author","values":["Bailey, Katie E."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2023-05-05T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["College of Science and Mathematics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science - Natural Sciences"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["astrophysics","astronomy","physics","exoplanets","python","Other Astrophysics and Astronomy","Programming Languages and Compilers","Stars, Interstellar Medium and the Galaxy","Statistics and Probability"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarworks.sfasu.edu/etds/490"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Exoplanets represent a young, rapidly advancing subfield of astrophysics where much is still unknown. It is therefore important to analyze trends among their parameters to learn more about these systems. More complexity is added to these systems with the presence of additional stellar companions. To study these complex systems, one can employ programming languages such as Python to parse databases such as those constructed by TESS and Gaia to bridge the gap between exoplanets and stellar companions. Data can then be analyzed for trends in these multi-star exoplanet systems and in juxtaposition to their single-star counterparts. This research was able to automate the data collection process and the findings generally concluded that most multi-star systems host stars similar in size to the sun that are cooler, less luminous and will therefore have a longer lifetime. In comparison to single star systems, more complex systems were observed to have slightly larger orbital periods, yet smaller planet radii and mass.
"]},{"key":"dc:title","label":"Title","values":["Identifying and Analyzing Multi-Star Systems Among TESS Planetary Candidates Using Gaia"]}]}],"canonical_facts":{"dc:contributor":["Carl Ziegler, Ph.D.","Hector Ochoa, Ph.D.","Joseph Musser, Ph.D."],"dc:creator":["Bailey, Katie E."],"dc:date.available":["2023-05-05T07:00:00Z"],"dc:description.abstract":["Exoplanets represent a young, rapidly advancing subfield of astrophysics where much is still unknown. It is therefore important to analyze trends among their parameters to learn more about these systems. More complexity is added to these systems with the presence of additional stellar companions. To study these complex systems, one can employ programming languages such as Python to parse databases such as those constructed by TESS and Gaia to bridge the gap between exoplanets and stellar companions. Data can then be analyzed for trends in these multi-star exoplanet systems and in juxtaposition to their single-star counterparts. This research was able to automate the data collection process and the findings generally concluded that most multi-star systems host stars similar in size to the sun that are cooler, less luminous and will therefore have a longer lifetime. In comparison to single star systems, more complex systems were observed to have slightly larger orbital periods, yet smaller planet radii and mass.
"],"dc:identifier":["https://scholarworks.sfasu.edu/etds/490"],"dc:subject":["astrophysics","astronomy","physics","exoplanets","python","Other Astrophysics and Astronomy","Programming Languages and Compilers","Stars, Interstellar Medium and the Galaxy","Statistics and Probability"],"dc:title":["Identifying and Analyzing Multi-Star Systems Among TESS Planetary Candidates Using Gaia"],"thesis:degree_discipline":["College of Science and Mathematics"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science - Natural Sciences"]},"updated_at":"2026-07-24T04:30:37Z"}