Publications

Matthew Ho, John Soltis, Arya Farahi, Daisuke Nagai, August Evrard, Michelle Ntampaka (2023). Benchmarks and explanations for deep learning estimates of X-ray galaxy cluster masses. mnras.
Cite DOI arXiv
Matthew Ho, Xiaosheng Zhao, Benjamin Wandelt (2023). Information-Ordered Bottlenecks for Adaptive Semantic Compression. arXiv e-prints.
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John Soltis, Michelle Ntampaka, John F. Wu, John ZuHone, August Evrard, Arya Farahi, Matthew Ho, Daisuke Nagai (2022). A Machine-learning Approach to Enhancing eROSITA Observations. apj.
Cite DOI arXiv
Matthew Ho, Michelle Ntampaka, Markus Michael Rau, Minghan Chen, Alexa Lansberry, Faith Ruehle, Hy Trac (2022). The dynamical mass of the Coma cluster from deep learning. Nature Astronomy.
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M. Aguena, C. Avestruz, C. Combet, S. Fu, R. Herbonnet, A.~I. Malz, M. Penna-Lima, M. Ricci, S.~D.~P. Vitenti, L. Baumont, H. Fan, M. Fong, M. Ho, M. Kirby, C. Payerne, D. Boutigny, B. Lee, B. Liu, T. McClintock, H. Miyatake, C. Sifón, A. Von Der Linden, H. Wu, M. Yoon, LSST Dark Energy Science Collaboration (2021). CLMM: a LSST-DESC cluster weak lensing mass modeling library for cosmology. mnras.
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Matthew Ho, Arya Farahi, Markus Michael Rau, Hy Trac (2021). Approximate Bayesian Uncertainties on Deep Learning Dynamical Mass Estimates of Galaxy Clusters. apj.
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Matthew Ho, Arya Farahi, Markus Michael Rau, Hy Trac (2021). Approximate Bayesian Uncertainties on Deep Learning Dynamical Mass Estimates of Galaxy Clusters. apj.
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Arya Farahi, Matthew Ho, Hy Trac (2020). Aging haloes: implications of the magnitude gap on conditional statistics of stellar and gas properties of massive haloes. mnras.
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Matthew Ho, Markus Michael Rau, Michelle Ntampaka, Arya Farahi, Hy Trac, Barnabás Póczos (2019). A Robust and Efficient Deep Learning Method for Dynamical Mass Measurements of Galaxy Clusters. apj.
Cite DOI arXiv