Document Type
Article
Publication Date
2025
Keywords
Gravitational Microlensing (672), Galactic Bulge (2041), Variable stars (1761), Classification (1907), Gravitational microlensing exoplanet detection (2147)
Abstract
The Roman Galactic Bulge Time Domain Survey will complete our census of free-floating and bound exoplanets by detecting microlensing events from timeseries photometry (M. T. Penny et al. 2019). But the literature on classifying microlensing events is limited compared with other types of transients. Building on recent developments in machine learning techniques, this research describes the preparation and training of an eXtreme Gradient Boosting classifier to detect microlensing events in the recent data release from the ROME/REA Survey. We evaluate the classifier’s ability to distinguish microlensing from various other categories of stars, both variable and constant. In this note we discuss the preparation and filtering of the training dataset and present the results of our preliminary model. One unusual feature of this dataset is that it combines data from multiple telescopes, and discuss the impact this has on the training of classifiers.
Recommended Citation
Schweitzer, Alaina; Street, Rachel; Kruszyńska, Katarzyna; and Godines, Daniel, "Classifying Microlensing Events from ROME/REA" (2025). Article, Smith College, Northampton, MA.
https://scholarworks.smith.edu/openpedagogy/1
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Rights
© 2025 The Author(s). Published by the American Astronomical Society.
Version
Author's Accepted Manuscript