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Ntampaka, Michelle
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1

Predicting the impact of feedback on matter clustering with..:

Delgado, Ana Maria ; Anglés-Alcázar, Daniel ; Thiele, Leander...
Monthly Notices of the Royal Astronomical Society.  526 (2023)  4 - p. 5306-5325 , 2023
Link: https://doi.org/10.1093/..
 
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2

Benchmarks and explanations for deep learning estimates of ..:

Ho, Matthew ; Soltis, John ; Farahi, Arya...
Monthly Notices of the Royal Astronomical Society.  524 (2023)  3 - p. 3289-3302 , 2023
Link: https://doi.org/10.1093/..
 
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3

Painting baryons on to N-body simulations of galaxy cluster..:

Chadayammuri, Urmila ; Ntampaka, Michelle ; ZuHone, John..
Monthly Notices of the Royal Astronomical Society.  526 (2023)  2 - p. 2812-2829 , 2023
Link: https://doi.org/10.1093/..
 
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4

The dynamical mass of the Coma cluster from deep learning:

Ho, Matthew ; Ntampaka, Michelle ; Rau, Markus Michael...
Nature Astronomy.  6 (2022)  8 - p. 936-941 , 2022
Link: https://doi.org/10.1038/..
 
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5

LoVoCCS. I. Survey Introduction, Data Processing Pipeline, ..:

Fu, Shenming ; Dell'Antonio, Ian ; Chary, Ranga-Ram...
The Astrophysical Journal.  933 (2022)  1 - p. 84 , 2022
Link: https://doi.org/10.3847/..
 
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6

Emulating Sunyaev–Zeldovich images of galaxy clusters using..:

Rothschild, Tibor ; Nagai, Daisuke ; Aung, Han...
Monthly Notices of the Royal Astronomical Society.  513 (2022)  1 - p. 333-344 , 2022
Link: https://doi.org/10.1093/..
 
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7

A Machine-learning Approach to Enhancing eROSITA Observatio..:

Soltis, John ; Ntampaka, Michelle ; Wu, John F....
The Astrophysical Journal.  940 (2022)  1 - p. 60 , 2022
Link: https://doi.org/10.3847/..
 
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8

The Importance of Being Interpretable: Toward an Understand..:

Ntampaka, Michelle ; Vikhlinin, Alexey
The Astrophysical Journal.  926 (2022)  1 - p. 45 , 2022
Link: https://doi.org/10.3847/..
 
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9

Benchmarks and Explanations for Deep Learning Estimates of ..:

Ho, Matthew ; Soltis, John ; Farahi, Arya...
http://arxiv.org/abs/2303.00005.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

Predicting the impact of feedback on matter clustering with..:

Delgado, Ana Maria ; Angles-Alcazar, Daniel ; Thiele, Leander...
http://arxiv.org/abs/2301.02231.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

The early career perspective on the coming decade, astrophy..:

Moravec, Emily ; Czekala, Ian ; Follette, Kate...
Bulletin of the American Astronomical Society.  , 2023
Link: http://hdl.handle.net/10..
 
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12

Painting baryons onto N-body simulations of galaxy clusters..:

Chadayammuri, Urmila ; Ntampaka, Michelle ; ZuHone, John..
http://arxiv.org/abs/2307.16733.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Benchmarks and Explanations for Deep Learning Estimates of ..:

Ho, Matthew ; Soltis, John ; Farahi, Arya...
info:eu-repo/semantics/altIdentifier/arxiv/2303.00005.  , 2023
Link: https://hal.science/hal-..
 
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14

LoVoCCS. I. Survey Introduction, Data Processing Pipeline, ..:

Fu, Shenming ; Dell'Antonio, Ian ; Chary, Ranga Ram...
https://ohioopen.library.ohio.edu/physics-astronomy-oapub/196.  , 2022
Link: https://ohioopen.library..
 
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15

A Machine Learning Approach to Enhancing eROSITA Observatio..:

Soltis, John ; Ntampaka, Michelle ; Wu, John...
http://arxiv.org/abs/2207.14324.  , 2022
Link: http://arxiv.org/abs/220..
 
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