Matthew Wanink
Pronouns: He/him
Research Mentor(s): Mark Reynolds, Associate Research Scientist
Research Mentor School/College/Department: Astronomy, College of Literature, Science, and the Arts
Presentation Date: Thursday, April 22, 2021
Session: Session 5 (3pm-3:50pm)
Breakout Room: Room 15
Presenter: 6
Abstract
Large scale datasets are now being created across multiple wavelength regimes, and are crucial tools in our effort to probe many questions in Astronomy. Herein, we present an effort to identify candidate black hole and neutron star binaries via a cross comparison of the variable stars identified in the GAIA DR2 data release comprising >600 thousand sources and the population of >300 thousand X-ray sources identified by the Chandra X-ray telescope. Data from the GAIA catalog has been filtered to create a table for comparison with the point sources in the Chandra Source Catalog. We will present the results of this comparison and discuss the possibilities of comparing the different data sets. While this project focused on isolating a subset of stars from the GAIA data, the process of doing so and the comparisons made are just the first steps of what can be done with these data sets and what can be done on a much larger scale.
Authors: Matthew Wanink, Mark Reynolds
Research Method: Data Collection and Analysis
