Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks | Paper Citation Record

Observation 2f0fefd7-ff38-41ca-898f-fbf999706d5c · outbound

This paper cites Dark matter and cosmic structure.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Dark matter and cosmic structure

Reference 1

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Observation 86b78880-b9b7-401a-b467-81df51f75585 · outbound

This paper cites Large-scale dark matter simulations.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Large-scale dark matter simulations

Reference 2

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Observation bc2d95b3-1088-4644-b0c0-639396b6e410 · outbound

This paper cites Dark matter halo concentrations: a short review.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Dark matter halo concentrations: a short review

Reference 3

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Observation 28e8b364-1757-474e-99c1-fdf025a262fa · outbound

This paper cites Is the dark-matter halo spin a predictor of galaxy spin and size? Mon.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Is the dark-matter halo spin a predictor of galaxy spin and size? Mon

Reference 4

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Observation abd7c435-faed-447d-8440-11de6c99ebd2 · outbound

This paper cites The formation of galactic discs.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The formation of galactic discs

Reference 5

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Observation e1bd8b5d-4c6a-4ecd-bf3e-c92d0897ab98 · outbound

This paper cites The galaxy size to halo spin relation of disc galaxies in cosmological hydrodynamical simulations.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The galaxy size to halo spin relation of disc galaxies in cosmological hydrodynamical simulations

Reference 6

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Observation 0b6807fb-ffb4-409e-a9dd-ce735fc71e53 · outbound

This paper cites The unusually high dark matter concentration of the galaxy group NGC 1600.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The unusually high dark matter concentration of the galaxy group NGC 1600

Reference 7

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Observation 453d13df-9dc6-4334-9011-3d37621463e0 · outbound

This paper cites An unexpected high concentration for the dark substructure in the gravitational lens SDSSJ0946+1006.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks An unexpected high concentration for the dark substructure in the gravitational lens SDSSJ0946+1006

Reference 8

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Observation 56d99e40-6dca-4622-90a7-258686606aa0 · outbound

This paper cites The overconcentrated dark halo in the strong lens SDSS J0946+1006 is a subhalo: evidence for self interacting dark matter?.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The overconcentrated dark halo in the strong lens SDSS J0946+1006 is a subhalo: evidence for self interacting dark matter?

Reference 9

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Observation b3378e57-ca0d-42b4-9220-b1c8273282f6 · outbound

This paper cites Concentration, spin and shape of dark matter haloes as a function of the cosmological model: WMAP1, WMAP3 and WMAP5 results.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Concentration, spin and shape of dark matter haloes as a function of the cosmological model: WMAP1, WMAP3 and WMAP5 results

Reference 10

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Observation 2d845bce-a56f-4bfe-9d16-94bddead0946 · outbound

This paper cites The mass-concentration- redshift relation of cold dark matter haloes.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The mass-concentration- redshift relation of cold dark matter haloes

Reference 11

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Observation 213e7766-0f1f-4c56-abad-e6dede65e167 · outbound

This paper cites The statistics ofΛ CDM halo concentrations.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The statistics ofΛ CDM halo concentrations

Reference 12

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Observation cccdc2f2-e7db-4998-8948-7d834be49643 · outbound

This paper cites A comparison of simple models for urban morphogenesis.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks A comparison of simple models for urban morphogenesis

Reference 13

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Observation bf246089-0ef7-4d82-be3e-ccd2f0e2b5cc · outbound

This paper cites Dark Matter Halos in the Standard Cosmological Model: Results from the Bolshoi Simulation.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Dark Matter Halos in the Standard Cosmological Model: Results from the Bolshoi Simulation

Reference 14

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Observation 24b6dd42-42ba-460f-8128-64e7b8af6916 · outbound

This paper cites Dark Matter Halo Profiles of Massive Clusters: Theory versus Observations.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Dark Matter Halo Profiles of Massive Clusters: Theory versus Observations

Reference 15

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Observation 20d7b210-a689-4bee-bbf0-c14eac0a8f63 · outbound

This paper cites Cold dark matter haloes in the Planck era: evolution of structural parameters for Einasto and NFW profiles.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Cold dark matter haloes in the Planck era: evolution of structural parameters for Einasto and NFW profiles

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T11:57:13.253453Z

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Observation ccda79f2-bd12-4407-b28f-aedb29c2e7a5 · outbound

This paper cites Halo Profiles and the Concentration-Mass Relation for a ΛCDM Universe.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Halo Profiles and the Concentration-Mass Relation for a ΛCDM Universe

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T11:57:13.263476Z

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Observation f4060561-cf0e-4dc6-8aa8-9367680910be · outbound

This paper cites An Accurate Physical Model for Halo Concentrations.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks An Accurate Physical Model for Halo Concentrations

Reference 18

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Observation e05cfcfa-cf2b-4e39-a965-8c2a88160926 · outbound

This paper cites The Uchuu simulations: Data Release 1 and dark matter halo concentrations.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The Uchuu simulations: Data Release 1 and dark matter halo concentrations

Reference 19

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Observation 57e74781-dc60-4937-bc55-dccc110cb80f · outbound

This paper cites Profiles of dark haloes: evolution, scatter and environment.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Profiles of dark haloes: evolution, scatter and environment

Reference 20

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Observation 903e0235-885f-4dda-bf5a-d03710f233b7 · outbound

This paper cites Concentrations of Dark Halos from Their Assembly Histories.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Concentrations of Dark Halos from Their Assembly Histories

Reference 21

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Observation f294260a-5a5c-4190-97ab-352b56d78c0a · outbound

This paper cites Mass and Redshift Dependence of Dark Halo Structure.Astrophys.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Mass and Redshift Dependence of Dark Halo Structure.Astrophys

Reference 22

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Observation fbdd1294-de17-4f43-9b0c-92d83e342f1c · outbound

This paper cites Accurate Universal Models for the Mass Accretion Histories and Concentrations of Dark Matter Halos.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Accurate Universal Models for the Mass Accretion Histories and Concentrations of Dark Matter Halos

Reference 23

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Observation eb0b2692-fd67-432d-8521-8f0e396d428a · outbound

This paper cites Formation times, mass growth histories and concentrations of dark matter haloes.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Formation times, mass growth histories and concentrations of dark matter haloes

Reference 24

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-10T11:57:14.645308Z

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Observation 12c1afce-c3c2-446b-9c00-b02032a9c835 · outbound

This paper cites Surveying the reach and maturity of machine learning and artificial intelligence in astronomy.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Surveying the reach and maturity of machine learning and artificial intelligence in astronomy

Reference 25

Resolution: verified exact; doi, observed 2026-08-10T11:57:14.025129Z

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Observation b2cee076-ee46-4054-b3ec-c3ee47209600 · outbound

This paper cites Astronomical big data processing using machine learning: A comprehensive review.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Astronomical big data processing using machine learning: A comprehensive review

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T11:57:13.326512Z

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Observation 46b9cd94-52d5-4868-b4f0-f83dddf06b43 · outbound

This paper cites Classifying the large-scale structure of the universe with deep neural networks.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Classifying the large-scale structure of the universe with deep neural networks

Reference 27

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Observation e8ca1ba2-58f4-4a91-ac5d-e5c1705520ab · outbound

This paper cites HIKER: a halo-finding method based on kernel-shift algorithm.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks HIKER: a halo-finding method based on kernel-shift algorithm

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:57:14.604150Z

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Observation 57fdd468-af74-470e-908e-efccf2a13d80 · outbound

This paper cites HInet: Generating Neutral Hydrogen from Dark Matter with Neural Networks.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks HInet: Generating Neutral Hydrogen from Dark Matter with Neural Networks

Reference 29

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Observation 3fadf972-8847-43da-8d0c-22e90e4ec13b · outbound

This paper cites Baryon acoustic oscillations reconstruction using convolutional neural networks.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Baryon acoustic oscillations reconstruction using convolutional neural networks

Reference 30

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Observation 2d04a8d2-17e8-4ef5-939c-19df98acaf8c · outbound

This paper cites First Light and Reionisation Epoch Simulations (FLARES) XVII: Learning the galaxy-halo connection at high redshifts.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks First Light and Reionisation Epoch Simulations (FLARES) XVII: Learning the galaxy-halo connection at high redshifts

Reference 31

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Observation b76e9046-4123-490d-9492-27e1f70cd27d · outbound

This paper cites The cosmological simulation code GADGET-2.Mon.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The cosmological simulation code GADGET-2.Mon

Reference 32

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Observation fd271365-ab5d-4ffb-aef5-6ac249c829e8 · outbound

This paper cites Baryonic Features in the Matter Transfer Function.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Baryonic Features in the Matter Transfer Function

Reference 33

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Observation 298efb77-e51a-4265-9720-96f7056e5ddc · outbound

This paper cites An alternative method to generate pre-initial conditions for cosmological N-body simulations.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks An alternative method to generate pre-initial conditions for cosmological N-body simulations

Reference 34

Resolution: verified exact; doi, observed 2026-08-10T11:57:13.867971Z

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Observation 89640994-f981-4cd0-bd80-516696f9821f · outbound

This paper cites Numerical convergence of pre-initial conditions on dark matter halo properties.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Numerical convergence of pre-initial conditions on dark matter halo properties

Reference 35

Resolution: verified exact; doi, observed 2026-08-10T11:57:13.832790Z

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Observation 449cb1a5-f825-4be7-9d6d-a6127905f10d · outbound

This paper cites The optimal gravitational softening length for cosmological N-body simulations.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The optimal gravitational softening length for cosmological N-body simulations

Reference 36

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Observation 2638cf57-2a83-4585-bc83-f298a5a27764 · outbound

This paper cites The evolution of large-scale structure in a universe dominated by cold dark matter.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The evolution of large-scale structure in a universe dominated by cold dark matter

Reference 37

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Observation 2d5eacb1-2ebe-46e8-a713-4190811874c8 · outbound

This paper cites HBT+: an improved code for finding subhaloes and building merger trees in cosmological simulations.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks HBT+: an improved code for finding subhaloes and building merger trees in cosmological simulations

Reference 38

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Observation 89b42315-b13d-47e5-87bc-25a64172eb14 · outbound

This paper cites Statistical Properties of X-Ray Clusters: Analytic and Numerical Comparisons.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Statistical Properties of X-Ray Clusters: Analytic and Numerical Comparisons

Reference 39

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Observation 3a8e7b16-9b5b-49f6-93cd-b323e31560ce · outbound

This paper cites The Structure of Cold Dark Matter Halos.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The Structure of Cold Dark Matter Halos

Reference 40

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Observation be500658-d909-48f1-9265-6e9acb8125d8 · outbound

This paper cites A Universal Density Profile from Hierarchical Clustering.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks A Universal Density Profile from Hierarchical Clustering

Reference 41

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This paper cites Pytorch: An imperative style, high-performance deep learning library.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Pytorch: An imperative style, high-performance deep learning library

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:57:15.418582Z

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Observation e4edc828-df7e-42ae-a00d-d473d773796e · outbound

This paper cites Rectified linear units improve restricted boltzmann machines.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Rectified linear units improve restricted boltzmann machines

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:57:15.399422Z

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Observation 0bf7040f-d8a6-47d9-93b9-903045f9f9f7 · outbound

This paper cites Learning representations by back-propagating errors.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Learning representations by back-propagating errors

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:57:15.381147Z

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Observation 581fe40a-a469-48d9-8309-178672f2a42c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Adam: A Method for Stochastic Optimization

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T11:57:13.518476Z

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Observation 1ff2b6db-e7e8-42fa-bc1c-b4f1f1850abe · outbound

This paper cites Universal structure of dark matter haloes over a mass range of 20 orders of magnitude.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks Universal structure of dark matter haloes over a mass range of 20 orders of magnitude

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T11:57:13.531792Z

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Observation c7ccad0c-ab25-4f7e-b741-a72f461bfb12 · outbound

This paper cites The abundance of dark matter haloes down to Earth mass.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The abundance of dark matter haloes down to Earth mass

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T11:57:13.540114Z

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Observation be7cba15-0a52-4721-b224-69c7e6077dcf · outbound

This paper cites The mass accretion history of dark matter haloes down to Earth mass.

Prediction of Individual Halo Concentrations Across Cosmic Time Using Neural Networks The mass accretion history of dark matter haloes down to Earth mass

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T11:57:13.546783Z

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