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Michelle Ntampaka
Carnegie Mellon University
· US
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Area of research
Astronomy and Astrophysics · Instrumentation
Research interest
Research interests include Galaxy, Convolutional neural network, Cluster (spacecraft), Artificial intelligence, Contrast (vision), and Physics.
h-index
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citations
110
works
2
NIH funding
—
primary concept
—
email
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Recent publications
Predicting the impact of feedback on matter clustering with machine learning in CAMELS
Monthly Notices of the Royal Astronomical Society
2023
cited by
26
position: middle
doi
A Deep Learning Approach to Galaxy Cluster X-Ray Masses
DSpace@MIT (Massachusetts Institute of Technology)
2019
cited by
84
position: first
Grants
No grants ingested yet.
Frequent collaborators
Lars Hernquist
· University of Southampton
2
papers (2019–2023)
Shivam Pandey
· New York University
1
papers (2023–2023)
Annalisa Pillepich
· Texas A&M University
1
papers (2019–2019)
Paul Torrey
· Massachusetts Institute of Technology
1
papers (2019–2019)
Leander Thiele
· Princeton University
1
papers (2023–2023)
Francisco Villaescusa-Navarro
· Princeton University
1
papers (2023–2023)
Mark Vogelsberger
· Philipps University of Marburg
1
papers (2019–2019)
Daniel Anglés‐Alcázar
· University of Connecticut
1
papers (2023–2023)
John ZuHone
· Goddard Space Flight Center
1
papers (2019–2019)
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·
1
papers (2023–2023)
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1
papers (2019–2019)
Shy Genel
· Columbia University
1
papers (2023–2023)
Dylan Nelson
· Oregon State University
1
papers (2019–2019)
Rachel S. Somerville
· Flatiron Health (United States)
1
papers (2023–2023)
A. Vikhlinin
· University of Waterloo
1
papers (2019–2019)
Kai Lehman
· Ludwig-Maximilians-Universität München
1
papers (2023–2023)
Rüdiger Pakmor
· Columbia University
1
papers (2019–2019)
Daniel J. Eisenstein
· University of Arizona
1
papers (2019–2019)
Federico Marinacci
· Istituto di Astrofisica Spaziale e Fisica Cosmica di Bologna
1
papers (2019–2019)
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