Search Results for author: L. Hernquist

Found 1 papers, 0 papers with code

A Deep Learning Approach to Galaxy Cluster X-ray Masses

no code implementations17 Oct 2018 M. Ntampaka, J. ZuHone, D. Eisenstein, D. Nagai, A. Vikhlinin, L. Hernquist, F. Marinacci, D. Nelson, R. Pakmor, A. Pillepich, P. Torrey, M. Vogelsberger

Despite our simplifying assumption to neglect spectral information, the resulting mass values estimated by the CNN exhibit small bias in comparison to the true masses of the simulated clusters (-0. 02 dex) and reproduce the cluster masses with low intrinsic scatter, 8% in our best fold and 12% averaging over all.

Cosmology and Nongalactic Astrophysics

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