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Paper Citation Record · LEDGER

Galaxy cluster characterization with machine learning techniques

As of 14 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2501.04081.

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pith.paper-citation-record.v1
2501.04081 v1

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Outbound references

Observation b90dcb6b-e9f0-4d40-b4ae-f068c23a8f2e · outbound

This paper cites 2015, TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems.

Galaxy cluster characterization with machine learning techniques 2015, TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems

Reference 1

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This paper cites R., et al.

Galaxy cluster characterization with machine learning techniques R., et al

Reference 2

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This paper cites 2020, A&A, 643, A177, doi: 10.1051/0004-6361/202039083 Astropy Collaboration, Robitaille, T.

Galaxy cluster characterization with machine learning techniques 2020, A&A, 643, A177, doi: 10.1051/0004-6361/202039083 Astropy Collaboration, Robitaille, T

Reference 3

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This paper cites J., Vogelsberger, M., Kannan, R., et al.

Galaxy cluster characterization with machine learning techniques J., Vogelsberger, M., Kannan, R., et al

Reference 4

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Galaxy cluster characterization with machine learning techniques Unresolved cited work

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This paper cites H., Schellenberger, G., et al.

Galaxy cluster characterization with machine learning techniques H., Schellenberger, G., et al

Reference 6

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This paper cites 2013, MNRAS, 428, 1395, doi: 10.1093/mnras/sts120.

Galaxy cluster characterization with machine learning techniques 2013, MNRAS, 428, 1395, doi: 10.1093/mnras/sts120

Reference 7

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This paper cites 2012, MNRAS, 420, 3545, doi: 10.1111/j.1365-2966.2011.20278.x.

Galaxy cluster characterization with machine learning techniques 2012, MNRAS, 420, 3545, doi: 10.1111/j.1365-2966.2011.20278.x

Reference 8

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This paper cites W., Donahue, M., Voit, G.

Galaxy cluster characterization with machine learning techniques W., Donahue, M., Voit, G

Reference 9

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This paper cites 1976, A&A, 49, 137 —.

Galaxy cluster characterization with machine learning techniques 1976, A&A, 49, 137 —

Reference 10

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This paper cites 2015, Keras, https://keras.io.

Galaxy cluster characterization with machine learning techniques 2015, Keras, https://keras.io

Reference 11

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This paper cites 2020, Proceedings of the National Academy of Science, 117, 30055, doi: 10.1073/pnas.1912789117.

Galaxy cluster characterization with machine learning techniques 2020, Proceedings of the National Academy of Science, 117, 30055, doi: 10.1073/pnas.1912789117

Reference 12

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This paper cites 2016, MNRAS, 456, 2566, doi: 10.1093/mnras/stv2839 de Andres, D., Cui, W., Ruppin, F., et al.

Galaxy cluster characterization with machine learning techniques 2016, MNRAS, 456, 2566, doi: 10.1093/mnras/stv2839 de Andres, D., Cui, W., Ruppin, F., et al

Reference 13

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This paper cites 2023, MNRAS, 520, 4000, doi: 10.1093/mnras/stad377.

Galaxy cluster characterization with machine learning techniques 2023, MNRAS, 520, 4000, doi: 10.1093/mnras/stad377

Reference 14

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This paper cites W., Lang, D., & Goodman, J.

Galaxy cluster characterization with machine learning techniques W., Lang, D., & Goodman, J

Reference 15

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This paper cites R., Ji, L., Smith, R.

Galaxy cluster characterization with machine learning techniques R., Ji, L., Smith, R

Reference 16

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Galaxy cluster characterization with machine learning techniques C., Allen, G

Reference 17

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This paper cites Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey.

Galaxy cluster characterization with machine learning techniques Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey

Reference 18

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Galaxy cluster characterization with machine learning techniques E., Reese, E

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Galaxy cluster characterization with machine learning techniques R., Millman, K

Reference 20

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This paper cites Deep Residual Learning for Image Recognition.

Galaxy cluster characterization with machine learning techniques Deep Residual Learning for Image Recognition

Reference 21

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This paper cites 2022, in Handbook of X-ray and Gamma-ray Astrophysics, 5, doi: 10.1007/978-981-16-4544-0 122-1.

Galaxy cluster characterization with machine learning techniques 2022, in Handbook of X-ray and Gamma-ray Astrophysics, 5, doi: 10.1007/978-981-16-4544-0 122-1

Reference 22

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Galaxy cluster characterization with machine learning techniques S., Mittal, R., Reiprich, T

Reference 23

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Galaxy cluster characterization with machine learning techniques Unresolved cited work

Reference 24

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This paper cites The eROSITA Final Equatorial-Depth Survey (eFEDS): A Machine Learning Approach to Infer Galaxy Cluster Masses from eROSITA X-ray Images.

Galaxy cluster characterization with machine learning techniques The eROSITA Final Equatorial-Depth Survey (eFEDS): A Machine Learning Approach to Infer Galaxy Cluster Masses from eROSITA X-ray Images

Reference 25

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This paper cites On the location of X-ray peaks and dominant galaxies in clusters.

Galaxy cluster characterization with machine learning techniques On the location of X-ray peaks and dominant galaxies in clusters

Reference 26

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Galaxy cluster characterization with machine learning techniques 2023, ApJ, 943, 4, doi: 10.3847/1538-4357/aca7c2

Reference 27

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Galaxy cluster characterization with machine learning techniques Chemical Composition of the Intracluster Medium

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Galaxy cluster characterization with machine learning techniques 2018, MNRAS, 480, 5113, doi: 10.1093/mnras/sty2206

Reference 29

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Galaxy cluster characterization with machine learning techniques Unresolved cited work

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Galaxy cluster characterization with machine learning techniques A., Vikhlinin, A., et al

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Galaxy cluster characterization with machine learning techniques R., van Weeren, R

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Galaxy cluster characterization with machine learning techniques W., Hlavacek-Larrondo, J., et al

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Galaxy cluster characterization with machine learning techniques R., Wise, M

Reference 34

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Galaxy cluster characterization with machine learning techniques eROSITA Science Book: Mapping the Structure of the Energetic Universe

Reference 35

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Galaxy cluster characterization with machine learning techniques 2009, Monthly Notices of the Royal Astronomical Society, 399, 1307

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Galaxy cluster characterization with machine learning techniques S., Reiprich, T

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Galaxy cluster characterization with machine learning techniques J., Mathiesen, B., & Evrard, A

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Observation 6cb8635e-1686-40c3-8cba-d0317e1e36c8 · outbound

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Observation 97176d1c-4800-42f0-ac87-76b45a31a691 · outbound

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Observation 513d4561-2f11-4ea8-a95f-8e38589d39f5 · outbound

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Observation b527e0c6-e0ee-40ae-a5a8-1ced8710580f · outbound

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Observation 21346e9b-84dd-453f-8926-e054479a0c55 · outbound

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Observation 671a9757-fdc4-4de8-b9ea-d1e218c90a84 · outbound

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Observation f1b81f22-c493-4577-b10a-e0ff16dc3506 · outbound

This paper cites an unresolved cited work.

Galaxy cluster characterization with machine learning techniques Unresolved cited work

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Observation 890e8a2d-3004-496d-92df-f15aedd83b4c · outbound

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Observation 0ffa8aeb-c47e-4d5b-897b-0ee35ceded62 · outbound

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Observation 40ce2bc2-04df-4567-a94c-590c52822e64 · outbound

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Observation f353855e-c6a5-4e3a-800b-c2f1ea228431 · outbound

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Observation 115eae96-4617-4130-a15a-e68a39e71987 · outbound

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Observation 9c2cb6c5-6eff-467e-b73a-b9c6c62f400d · outbound

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Observation b6ac80e9-d38a-46d2-a397-c09916ded829 · outbound

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Observation 3f7ad47a-f2cc-41c1-86d9-ec108a186b5a · outbound

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Observation 2587f95d-1a87-4577-8958-44ce4ebda2fe · outbound

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Observation e7d5c109-209d-4d79-938d-1a7fd35b195b · outbound

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Observation 8fbeac44-4750-4cf9-b431-9a50006f768a · outbound

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Observation 1f2e8b46-a4e6-414b-9806-64f6371f7c81 · outbound

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Observation 5fe97d13-b12b-4e6c-8017-32836e8d588c · outbound

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Observation 627aa8c2-7485-4f62-bc04-b3331a30dde4 · outbound

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Observation 677236b6-9ea5-47c9-a899-a32bb9091399 · outbound

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Galaxy cluster characterization with machine learning techniques R., et al

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Observation a8f052f8-5b33-4758-99a5-66efbfdc8a51 · outbound

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Observation f4739a45-1205-4552-8d62-47d61fdf725d · outbound

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Observation bb039820-a425-4e04-8071-7f5907d28360 · outbound

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Galaxy cluster characterization with machine learning techniques 2018, MNRAS, 479, 4056, doi: 10.1093/mnras/sty1733

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Observation 0dd0dd65-497c-474a-b870-c089a1990b61 · outbound

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Observation ef470387-38b5-4a98-b9aa-9aeddf92c509 · outbound

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Galaxy cluster characterization with machine learning techniques 2000, ApJ, 542, 914, doi: 10.1086/317016

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Observation 6e674643-7771-4212-bdf7-d6e715a590d6 · outbound

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Observation d4055e64-b491-49f8-aa2c-ccbe60fdc62d · outbound

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Observation 0bb7672f-bdeb-43fc-92df-401c0384c19e · outbound

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Pith citing papers

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