Research & Publications
See all publications: Google Scholar, arXiv, ADS.
A Deep Learning Approach to Galaxy Cluster X-ray Masses.
Michelle Ntampaka, John ZuHone, Daniel Eisenstein, Daisuke Nagai, Alexey Vikhlinin, Lars Hernquist, Federico Marinacci, Dylan Nelson, Ruediger Pakmor, Annalisa Pillepich, Paul Torrey, and Mark Vogelsberger.
arXiv preprint:1810.07703
Machine Learning Applied to the Reionization History of the Universe.
Paul La Plante and Michelle Ntampaka.
arXiv preprint:1810.08211.
The Velocity Distribution Function of Galaxy Clusters as a Cosmological Probe.
Michelle Ntampaka, Hy Trac, Jessi Cisewski, and Layne C. Price.
2017 Astrophysical Journal, 835, 1.
Dynamical Mass Measurements of Contaminated Galaxy Clusters Using Machine Learning.
Michelle Ntampaka, Hy Trac, Dougal J. Sutherland, Sebastien Fromenteau, Barnabas Poczos, and Jeff Schneider.
2016 Astrophysical Journal, 831, 2.
A Machine Learning Approach for Dynamical Mass Measurements of Galaxy Clusters.
Michelle Ntampaka, Hy Trac, Dougal J. Sutherland, Nicholas Battaglia, Barnabas Poczos, and Jeff Schneider.
2015 Astrophysical Journal, 803, 50.
A First Look at Creating Mock Catalogs with Machine Learning Techniques.
Xiaoying Xu, Shirley Ho, Hy Trac, Jeff Schneider, Barnabas Poczos, and Michelle Ntampaka.
2013 Astrophysical Journal, 772, 147.