‪Moonzarin Reza‬ - ‪Google Scholar‬

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Co-authors

Mohammad Ariful HaqueProfessor of Bangladesh University of Engineering and TechnologyVerified email at eee.buet.ac.bd
Louis StrigariProfessor of Physics and Astronomy, Texas A&M University Verified email at tamu.edu
Brian D Nord JrFermilabVerified email at fnal.gov
Aleksandra CiprijanovicWilson Fellow Associate Scientist, Fermi National Accelerator LaboratoryVerified email at fnal.gov

Moonzarin Reza

Moonzarin Reza

Graduate Student, Department of Physics and Astronomy, Texas A&M University

Verified email at tamu.edu

Cosmology Galaxy Clusters Extagalactic Astronomy Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Galaxy Morphology Classification using Automated Machine Learning M Reza Astronomy And Computing 37, 2021	29	2021
Photometric redshift estimation using ExtraTreesRegressor: Galaxies and quasars from low to very high redshifts M Reza, MA Haque Astrophysics and Space Science 365 (3), 50, 2020	12	2020
Estimating Cosmological Constraints from Galaxy Cluster Abundance using Simulation-Based Inference Moonzarin Reza, Yuanyuan Zhang, Brian Nord, Jason Poh, Aleksandra ... ICML 2022: Workshop on Machine Learning for Astrophysics, 0	1*
Creating a Standardized Sample of Milky Way Satellite Galaxy Binary Fraction Measurements LE Strigari, W Cerny, A Drlica-Wagner, AJ Evans, T Fritz, N Kallivayalil, ... HST Proposal, 17056, 2022		2022
Determining dark matter subhalo parameters from baryonic properties using machine learning M Reza		2021
Antimatter in hidden dimensions: a possible origin of dark energy M Reza, SUM Sarker World Scientific News, 238-244, 2019		2019
Gamma ray source classification using machine learning M Reza https://www.researchgate.net/publication …, 0

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