Concepedia

Michelle Ntampaka

MN

11

Publications

346

Citations

10

H-Index

2013

Active since

Affiliations

Johns Hopkins University(Current)

Space Telescope Science Institute

Harvard University Press

Center for Astrophysics Harvard & Smithsonian

Carnegie Mellon University

Michelle Ntampaka is an author at Johns Hopkins University specializing in data science, machine learning, and engineering.

Top concepts

EngineeringData ScienceMachine LearningCosmologyDark MatterComputer ScienceKnowledge DiscoveryObservational CosmologyPhysicsData Mining

Publications per year

2013–2023

11

Publications

11

A MACHINE LEARNING APPROACH FOR DYNAMICAL MASS MEASUREMENTS OF GALAXY CLUSTERS

Michelle Ntampaka, Hy Trac, Danica J. Sutherland et al. · The Astrophysical Journal · 2015 · 75 citations · Full text

DYNAMICAL MASS MEASUREMENTS OF CONTAMINATED GALAXY CLUSTERS USING MACHINE LEARNING

Michelle Ntampaka, Hy Trac, Danica J. Sutherland et al. · The Astrophysical Journal · 2016 · 55 citations · Full text

The Role of Machine Learning in the Next Decade of Cosmology

Michelle Ntampaka, Camille Avestruz, Steven Boada et al. · arXiv (Cornell University) · 2019 · 36 citations · Full text

Astronomy Community, Engineering, Machine Learning +12

Using X-Ray Morphological Parameters to Strengthen Galaxy Cluster Mass Estimates via Machine Learning

Sheridan B Green, Michelle Ntampaka, Daisuke Nagai et al. · The Astrophysical Journal · 2019 · 33 citations · Full text

A deep learning view of the census of galaxy clusters in IllustrisTNG

Yuanyuan Su, Yanbin Zhang, Gongbo Liang et al. · Monthly Notices of the Royal Astronomical Society · 2020 · 31 citations · Full text

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