New machine learning methods for analyzing expanding stars in the Orion complex

In this poster we present results from applying new machine learning algorithms to stars in Orion. Using new data from Gaia DR3 and SDSS, positions, radial velocities, proper motions, parallaxes, and ages are assembled for available stars in the region. Stars in the sample are clustered into groups based on these characteristics. With current data, we are able to include more details than previous work, which will improve inferences about the past dynamics of stars in Orion.