New machine learning methods for analyzing expanding stars in the Orion complex
- Autor(en)
- Hannah Woodward, Elena D'Onghia, Kashika Mahajan, Moritz Münchmeyer, Cameren Swiggum, Joao Alves
- Abstrakt
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.
- Organisation(en)
- Institut für Astrophysik
- Externe Organisation(en)
- University of Wisconsin, Madison, European Southern Observatory (Germany)
- Journal
- Bulletin of the American Astronomical Society
- Band
- 56
- ISSN
- 0002-7537
- Publikationsdatum
- 07-2024
- Peer-reviewed
- Ja
- ÖFOS 2012
- 103003 Astronomie, 103004 Astrophysik
- Link zum Portal
- https://ucrisportal.univie.ac.at/de/publications/661dab34-3638-4e51-a7b1-3e4664e0d21a