Identifying backsplash galaxies using machine learning | Paper Citation Record

Observation 3fad1cf2-d335-4631-b425-4a23e1e119cd · outbound

This paper cites Probing galaxy evolution in massive clusters using ACT and DES: splashback as a cosmic clock.

Identifying backsplash galaxies using machine learning Probing galaxy evolution in massive clusters using ACT and DES: splashback as a cosmic clock

Reference 1

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Observation f5f4354b-e7b4-4313-9561-bfcfd6b0eaa5 · outbound

This paper cites arXiv e-prints , keywords =.

Identifying backsplash galaxies using machine learning arXiv e-prints , keywords =

Reference 2

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Observation b96e86a6-015b-4d39-89ae-d82e3fce647a · outbound

This paper cites Effect of local and large-scale environments on nuclear activity and star formation.

Identifying backsplash galaxies using machine learning Effect of local and large-scale environments on nuclear activity and star formation

Reference 3

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Observation e20889a3-cae0-4b36-b6c7-d4b2053377bf · outbound

This paper cites The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package.

Identifying backsplash galaxies using machine learning The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:52.128861Z

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Observation b1c641f5-a67f-4f41-8c77-22cc183fc849 · outbound

This paper cites Why does the environmental influence on group and cluster galaxies extend beyond the virial radius?.

Identifying backsplash galaxies using machine learning Why does the environmental influence on group and cluster galaxies extend beyond the virial radius?

Reference 5

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Observation 49757ecd-9a67-4a8f-8878-f8583191a71b · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:52.344256Z

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Observation 76322730-0cc1-43c7-8039-42015262a2af · outbound

This paper cites Differential Galaxy Evolution in Cluster and Field Galaxies at z=0.3.

Identifying backsplash galaxies using machine learning Differential Galaxy Evolution in Cluster and Field Galaxies at z=0.3

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:52.444079Z

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Observation becd80a9-f2bd-4257-a15c-cd95f01fc2df · outbound

This paper cites The Origin of Star Formation Gradients in Rich Galaxy Clusters.

Identifying backsplash galaxies using machine learning The Origin of Star Formation Gradients in Rich Galaxy Clusters

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:52.557544Z

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Observation feb14e1a-5d92-4425-bc4f-4cf28589f1b4 · outbound

This paper cites GASP II. A MUSE view of extreme ram-pressure stripping along the line of sight: kinematics of the jellyfish galaxy JO201.

Identifying backsplash galaxies using machine learning GASP II. A MUSE view of extreme ram-pressure stripping along the line of sight: kinematics of the jellyfish galaxy JO201

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:52.712789Z

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Observation 9e6d2cb8-77bd-42a1-b0f8-36b39d3ba397 · outbound

This paper cites Accretion of Galaxy Groups into Galaxy Clusters.

Identifying backsplash galaxies using machine learning Accretion of Galaxy Groups into Galaxy Clusters

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:52.784213Z

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Observation 1b9775c2-64a8-43b2-acf0-b3ec43bfb52b · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:52.848002Z

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Observation 59a89cb3-282d-46e0-bb85-c3c83a38740d · outbound

This paper cites Convolutional neural network identification of galaxy post-mergers in UNIONS using IllustrisTNG.

Identifying backsplash galaxies using machine learning Convolutional neural network identification of galaxy post-mergers in UNIONS using IllustrisTNG

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:52.981693Z

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Observation fdb70cb1-8b4e-4b19-970a-fcd5e5a5fcaa · outbound

This paper cites an unresolved cited work.

Identifying backsplash galaxies using machine learning Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:53.084484Z

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Observation 7716ecb8-13b3-4867-a4fa-e959910db356 · outbound

This paper cites There and back again: understanding the critical properties of backsplash galaxies.

Identifying backsplash galaxies using machine learning There and back again: understanding the critical properties of backsplash galaxies

Reference 15

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Observation 2d719472-f182-4943-a874-30358f7d881c · outbound

This paper cites The GALEX Ultraviolet Virgo Cluster Survey (GUViCS). IV: The role of the cluster environment on galaxy evolution.

Identifying backsplash galaxies using machine learning The GALEX Ultraviolet Virgo Cluster Survey (GUViCS). IV: The role of the cluster environment on galaxy evolution

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:53.313811Z

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Observation 85d4bd7b-d51d-4171-b3a8-327de1bc7601 · outbound

This paper cites A Virgo Environmental Survey Tracing Ionised Gas Emission (VESTIGE) XV. The Halpha luminosity function of the Virgo cluster.

Identifying backsplash galaxies using machine learning A Virgo Environmental Survey Tracing Ionised Gas Emission (VESTIGE) XV. The Halpha luminosity function of the Virgo cluster

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:53.483089Z

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Observation 9340fd72-151d-4870-8e8c-a5402228bd25 · outbound

This paper cites Machine Learning , keywords =.

Identifying backsplash galaxies using machine learning Machine Learning , keywords =

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:53.604817Z

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Observation 791d22f0-c005-495c-add3-b6f6b6bab004 · outbound

This paper cites an unresolved cited work.

Identifying backsplash galaxies using machine learning Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:53.788823Z

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Observation bce2341e-4dea-4af2-8024-a05b011f1f50 · outbound

This paper cites The Atlas3D project - XV. Benchmark for early-type galaxies scaling relations from 260 dynamical models: mass-to-light ratio, dark matter, Fundamental Plane and Mass Plane.

Identifying backsplash galaxies using machine learning The Atlas3D project - XV. Benchmark for early-type galaxies scaling relations from 260 dynamical models: mass-to-light ratio, dark matter, Fundamental Plane and Mass Plane

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:53.889624Z

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Observation 1412af07-a412-4a5a-8263-497b9ca53767 · outbound

This paper cites A Physically Motivated Framework to Compare Merger Timescales of Isolated Low- and High-Mass Galaxy Pairs Across Cosmic Time.

Identifying backsplash galaxies using machine learning A Physically Motivated Framework to Compare Merger Timescales of Isolated Low- and High-Mass Galaxy Pairs Across Cosmic Time

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:53.991933Z

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Observation ca2e4ca6-674b-470c-b804-8010354b5eea · outbound

This paper cites The GOGREEN Survey: Evidence of an excess of quiescent disks in clusters at $1.0<z<1.4$.

Identifying backsplash galaxies using machine learning The GOGREEN Survey: Evidence of an excess of quiescent disks in clusters at $1.0<z<1.4$

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:54.089316Z

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Observation 68cde874-1e12-4ed9-a0ad-5ec833f74dbc · outbound

This paper cites an unresolved cited work.

Identifying backsplash galaxies using machine learning Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:54.176443Z

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Observation bee3ae14-9300-40c1-bf58-c386c340e24c · outbound

This paper cites Dark matter halo properties of intermediate-z star-forming galaxies.

Identifying backsplash galaxies using machine learning Dark matter halo properties of intermediate-z star-forming galaxies

Reference 24

Resolution: verified exact; doi, observed 2026-08-01T00:45:50.838205Z

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Observation 2755791f-06fa-41fa-86af-fa563fa5c6f6 · outbound

This paper cites Semi-Analytic Galaxies - I. Synthesis of environmental and star-forming regulation mechanisms.

Identifying backsplash galaxies using machine learning Semi-Analytic Galaxies - I. Synthesis of environmental and star-forming regulation mechanisms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:54.398064Z

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Observation e3ae4604-46a9-484e-818b-e8460ee74866 · outbound

This paper cites The Three Hundred project: a large catalogue of theoretically modelled galaxy clusters for cosmological and astrophysical applications.

Identifying backsplash galaxies using machine learning The Three Hundred project: a large catalogue of theoretically modelled galaxy clusters for cosmological and astrophysical applications

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:54.484083Z

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Observation 7f8aa904-9d1f-4704-b477-910aab2492cc · outbound

This paper cites \textsc{The Three Hundred} project: The \textsc{Gizmo-Simba} run.

Identifying backsplash galaxies using machine learning \textsc{The Three Hundred} project: The \textsc{Gizmo-Simba} run

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:54.558296Z

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Observation 1d378b2a-6ca3-45c1-b50d-3b133899c292 · outbound

This paper cites MUFASA: Galaxy Formation Simulations With Meshless Hydrodynamics.

Identifying backsplash galaxies using machine learning MUFASA: Galaxy Formation Simulations With Meshless Hydrodynamics

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:54.613568Z

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Observation ddd8b6a7-011c-4c3f-8211-4f1a5c501bbd · outbound

This paper cites Simba: Cosmological Simulations with Black Hole Growth and Feedback.

Identifying backsplash galaxies using machine learning Simba: Cosmological Simulations with Black Hole Growth and Feedback

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:54.708895Z

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Observation 54ab7dca-4c8a-407d-8dbd-2ec09382eb45 · outbound

This paper cites ROGER: Reconstructing Orbits of Galaxies in Extreme Regions using machine learning techniques.

Identifying backsplash galaxies using machine learning ROGER: Reconstructing Orbits of Galaxies in Extreme Regions using machine learning techniques

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:54.811183Z

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Observation 79743ef5-5cc7-4607-95d3-0a4d453557fd · outbound

This paper cites Clusters' far-reaching influence on narrow-angle tail radio galaxies.

Identifying backsplash galaxies using machine learning Clusters' far-reaching influence on narrow-angle tail radio galaxies

Reference 31

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Observation 33b21b0e-fd78-4fa3-a9dc-1feb7b5387eb · outbound

This paper cites Improving galaxy morphologies for SDSS with Deep Learning.

Identifying backsplash galaxies using machine learning Improving galaxy morphologies for SDSS with Deep Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:54.947509Z

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Observation 8aaad90b-97c2-494e-86cd-aa87db6426e6 · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:55.019525Z

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Observation ff44cee3-848f-4dae-a1ed-593fd3e1a9eb · outbound

This paper cites The IMACS Cluster Building Survey: II. Spectral Evolution of Galaxies in the Epoch of Cluster Assembly.

Identifying backsplash galaxies using machine learning The IMACS Cluster Building Survey: II. Spectral Evolution of Galaxies in the Epoch of Cluster Assembly

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:55.127891Z

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Observation 25d19bb7-3b78-4e98-896b-9cda30e2a234 · outbound

This paper cites ViCTORIA project: The LOFAR HBA Virgo Cluster Survey.

Identifying backsplash galaxies using machine learning ViCTORIA project: The LOFAR HBA Virgo Cluster Survey

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:55.216812Z

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Observation b6a4e203-9dc8-4d70-b320-80c3a0df28bd · outbound

This paper cites Overview of the Euclid mission.

Identifying backsplash galaxies using machine learning Overview of the Euclid mission

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:55.392921Z

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Observation f6751ddd-c1c5-4572-bcda-5fe18cfa49ac · outbound

This paper cites an unresolved cited work.

Identifying backsplash galaxies using machine learning Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:55.461701Z

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Observation 9d6f3c47-3677-4595-a513-e36624a83bdb · outbound

This paper cites Exploring the stellar populations of backsplash galaxies.

Identifying backsplash galaxies using machine learning Exploring the stellar populations of backsplash galaxies

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:55.534719Z

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Observation bc3a08d1-ba50-48bc-9fbc-0e6b808b29d0 · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:55.582106Z

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Observation f44f2580-f073-4d95-89da-d17385197978 · outbound

This paper cites Virgo Filaments V: Disrupting the Baryon Cycle in the NGC 5364 Galaxy Group.

Identifying backsplash galaxies using machine learning Virgo Filaments V: Disrupting the Baryon Cycle in the NGC 5364 Galaxy Group

Reference 40

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Observation 943c45de-420c-43d6-8c6a-84664997ebf8 · outbound

This paper cites The miniJPAS survey: The role of group environment in quenching the star formation.

Identifying backsplash galaxies using machine learning The miniJPAS survey: The role of group environment in quenching the star formation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:55.982091Z

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Observation 1addf14d-3321-4d90-ba47-de397d7c38e1 · outbound

This paper cites , year = 1972, month = aug, volume =.

Identifying backsplash galaxies using machine learning , year = 1972, month = aug, volume =

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:56.093801Z

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Observation ca8c4008-b3cf-4c1e-9348-4c80cfb352d8 · outbound

This paper cites The Three Hundred Project: Backsplash galaxies in simulations of clusters.

Identifying backsplash galaxies using machine learning The Three Hundred Project: Backsplash galaxies in simulations of clusters

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:56.156855Z

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Observation cc175c1a-4449-42eb-8196-39954db94d08 · outbound

This paper cites The Three Hundred project: Galaxy groups do not survive cluster infall.

Identifying backsplash galaxies using machine learning The Three Hundred project: Galaxy groups do not survive cluster infall

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:56.245206Z

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Observation 2dd5d869-596f-4e29-8e8b-da6e7f875db8 · outbound

This paper cites Constraining cosmological parameters using the splashback radius of galaxy clusters.

Identifying backsplash galaxies using machine learning Constraining cosmological parameters using the splashback radius of galaxy clusters

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:56.347405Z

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Observation 2b7e2872-c7ef-4fa6-9bd6-39a017c0b559 · outbound

This paper cites Reconsidering the dynamical states of galaxy clusters using PCA and UMAP.

Identifying backsplash galaxies using machine learning Reconsidering the dynamical states of galaxy clusters using PCA and UMAP

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:56.414529Z

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Observation 50688c77-bab9-4e39-81c6-d1931aba2fff · outbound

This paper cites YZiCS: Preprocessing of dark halos in the hydrodynamic zoom-in simulation of clusters.

Identifying backsplash galaxies using machine learning YZiCS: Preprocessing of dark halos in the hydrodynamic zoom-in simulation of clusters

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:56.467859Z

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Observation 439c0c97-2624-4081-9e52-35ff153202b6 · outbound

This paper cites The Open Journal of Astrophysics , keywords =.

Identifying backsplash galaxies using machine learning The Open Journal of Astrophysics , keywords =

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:56.524975Z

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Observation ee9669e6-a0a4-4350-8b80-4a60aa30bb45 · outbound

This paper cites GIZMO: A New Class of Accurate, Mesh-Free Hydrodynamic Simulation Methods.

Identifying backsplash galaxies using machine learning GIZMO: A New Class of Accurate, Mesh-Free Hydrodynamic Simulation Methods

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:56.571006Z

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Observation bf26bf6b-a0f4-45cc-80ee-38ff31ee3ba5 · outbound

This paper cites The Three Hundred project: connection between star formation quenching and dynamical evolution in and around simulated galaxy clusters.

Identifying backsplash galaxies using machine learning The Three Hundred project: connection between star formation quenching and dynamical evolution in and around simulated galaxy clusters

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:56.709894Z

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Observation 8cc81c88-672c-4253-97e1-3ef7c856fe80 · outbound

This paper cites Intrinsic Alignment in redMaPPer clusters -- II. Radial alignment of satellites toward cluster centers.

Identifying backsplash galaxies using machine learning Intrinsic Alignment in redMaPPer clusters -- II. Radial alignment of satellites toward cluster centers

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:56.856668Z

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Observation 09063952-dbe7-406f-90ae-c356ec26a3d7 · outbound

This paper cites an unresolved cited work.

Identifying backsplash galaxies using machine learning Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:56.987427Z

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Observation 74a83f8d-be3a-4576-aa97-752de20d34fc · outbound

This paper cites GASP IX. Jellyfish galaxies in phase-space: an orbital study of intense ram-pressure stripping in clusters.

Identifying backsplash galaxies using machine learning GASP IX. Jellyfish galaxies in phase-space: an orbital study of intense ram-pressure stripping in clusters

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:57.089060Z

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Observation 066e309b-e1c9-4fde-a4d3-24b9482449ec · outbound

This paper cites Environmental Dependence of Galaxy Merger Rate in {\Lambda}CDM Universe.

Identifying backsplash galaxies using machine learning Environmental Dependence of Galaxy Merger Rate in {\Lambda}CDM Universe

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:57.148459Z

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Observation f8fc5b0b-c78e-45e2-acc1-dfc5b8cb38db · outbound

This paper cites The wide-field, multiplexed, spectroscopic facility WEAVE: Survey design, overview, and simulated implementation.

Identifying backsplash galaxies using machine learning The wide-field, multiplexed, spectroscopic facility WEAVE: Survey design, overview, and simulated implementation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:57.223657Z

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Observation 3ff9f635-728f-454e-8a8d-8b436fce948a · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:57.227276Z

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Observation adaf1d0d-6a0d-4cd8-9afe-e2e716fdd4d9 · outbound

This paper cites The Extended Virgo Cluster Catalog.

Identifying backsplash galaxies using machine learning The Extended Virgo Cluster Catalog

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:57.234321Z

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Observation 7940120a-070d-4f0d-8e43-a11d30285830 · outbound

This paper cites MultiDark simulations: the story of dark matter halo concentrations and density profiles.

Identifying backsplash galaxies using machine learning MultiDark simulations: the story of dark matter halo concentrations and density profiles

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:57.348483Z

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Observation bac5798a-918f-44eb-9135-159e28c2101a · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:57.483881Z

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Observation 6dd764e3-f4eb-4a4e-8f5d-e5d45e31e63d · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:57.573850Z

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Observation ed85c5b7-4c12-4351-bb0d-f590f61e487d · outbound

This paper cites Structure Finding in Cosmological Simulations: The State of Affairs.

Identifying backsplash galaxies using machine learning Structure Finding in Cosmological Simulations: The State of Affairs

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:57.649729Z

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Observation a1ef7a4c-7954-4b61-858b-3ae1efd89f22 · outbound

This paper cites The Three Hundred project: shapes and radial alignment of satellite, infalling, and backsplash galaxies.

Identifying backsplash galaxies using machine learning The Three Hundred project: shapes and radial alignment of satellite, infalling, and backsplash galaxies

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:57.777493Z

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Observation c3678ea7-83e1-4573-b10b-9cd542c5b67e · outbound

This paper cites Ahf: Amiga's Halo Finder.

Identifying backsplash galaxies using machine learning Ahf: Amiga's Halo Finder

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:57.964768Z

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Observation 8c1e2dbc-1c90-40ef-90e8-f74e8ea34100 · outbound

This paper cites Cosmic filaments delay quenching inside clusters.

Identifying backsplash galaxies using machine learning Cosmic filaments delay quenching inside clusters

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Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:58.100425Z

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Observation 95e082d4-6c5c-42b1-8c33-98d18c579de2 · outbound

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Identifying backsplash galaxies using machine learning The clustering of X-ray AGN at 0.5 < z < 4.5: host galaxies dictate dark matter halo mass

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Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:58.256514Z

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Observation 643ccaab-8243-4612-ac17-3b5c9a50d042 · outbound

This paper cites A Comparison of Methods for Determining the Molecular Content of Model Galaxies.

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Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:58.431712Z

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Observation 905e8c2e-8d79-471e-88cc-9176d3398f19 · outbound

This paper cites Mapping and characterisation of cosmic filaments in galaxy cluster outskirts: strategies and forecasts for observations from simulations.

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Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:58.563788Z

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Observation 05d77e57-78b6-454a-a291-8c83cfb41157 · outbound

This paper cites An inventory of galaxies in cosmic filaments feeding galaxy clusters: galaxy groups, backsplash galaxies, and pristine galaxies.

Identifying backsplash galaxies using machine learning An inventory of galaxies in cosmic filaments feeding galaxy clusters: galaxy groups, backsplash galaxies, and pristine galaxies

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:58.729513Z

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Observation 7c888137-66ac-448f-a8d5-98fdf2f33d83 · outbound

This paper cites From voids to filaments: environmental transformations of galaxies in the SDSS.

Identifying backsplash galaxies using machine learning From voids to filaments: environmental transformations of galaxies in the SDSS

Reference 71

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Observation 08fb2548-e752-4639-93d5-43b2899b919e · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:59.064928Z

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Observation 4981b187-ceb1-49a6-a8fd-3754afef3d55 · outbound

This paper cites The origin of HI-deficiency in galaxies on the outskirts of the Virgo cluster. I. How far can galaxies bounce out of clusters?.

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Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:59.177757Z

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Observation a6c4944a-ee45-4de9-8f8d-bb9cd7b814d3 · outbound

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Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:59.303087Z

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Observation 842abdfa-77c7-4d64-9a1d-895ad1d6dc5e · outbound

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Identifying backsplash galaxies using machine learning Machine Learning to identify ICL and BCG in simulated galaxy clusters

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:59.463147Z

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Observation f324ea6d-40cb-4433-bfc4-cd6b149ee105 · outbound

This paper cites Reconstructing Orbits of Galaxies in Extreme Regions (ROGER) III: galaxy evolution patterns in projected phase space around massive X-ray clusters.

Identifying backsplash galaxies using machine learning Reconstructing Orbits of Galaxies in Extreme Regions (ROGER) III: galaxy evolution patterns in projected phase space around massive X-ray clusters

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:59.574931Z

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Observation 6a8fafd2-a157-45bd-9a35-ae1a3aea75f5 · outbound

This paper cites 2010 , doi=.

Identifying backsplash galaxies using machine learning 2010 , doi=

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:59.806106Z

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Observation eaa44126-98b2-4069-ae9e-0bc1bb1754bc · outbound

This paper cites Clusters of Galaxies: Probes of Cosmological Structure and Galaxy Evolution , year = 2004, editor =.

Identifying backsplash galaxies using machine learning Clusters of Galaxies: Probes of Cosmological Structure and Galaxy Evolution , year = 2004, editor =

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T00:44:59.915326Z

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Observation 441e426a-6f99-4cf7-8fdc-a1ce9d3392a5 · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:00.046089Z

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Observation 43de786c-5464-4174-86d4-0f1dd531a009 · outbound

This paper cites Galaxy Harassment and the Evolution of Clusters of Galaxies.

Identifying backsplash galaxies using machine learning Galaxy Harassment and the Evolution of Clusters of Galaxies

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:00.149515Z

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Observation c1da87f1-d23b-4632-8259-c21ba25f0fb4 · outbound

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Identifying backsplash galaxies using machine learning The splashback radius as a physical halo boundary and the growth of halo mass

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:00.331689Z

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Observation 6013e076-b81c-4623-aac6-ce64995dee5e · outbound

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Identifying backsplash galaxies using machine learning A Virgo Environmental Survey Tracing Ionised Gas Emission (VESTIGE): XVI. The ubiquity of truncated star-forming disks across the Virgo cluster environment

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:00.435088Z

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Observation 59acb146-1337-4a10-9f7f-d89c6cef31e7 · outbound

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Identifying backsplash galaxies using machine learning Deep galaxy stellar mass functions as a function of star formation rate in the Virgo cluster environment

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:00.585700Z

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Observation d6e34eab-1ad7-4b66-9a88-2d41e6f64928 · outbound

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Identifying backsplash galaxies using machine learning The Three Hundred Project: The gas disruption of infalling objects in cluster environments

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:00.694644Z

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Observation 0a29ee47-d60f-4c5f-af73-f22ccc367085 · outbound

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Identifying backsplash galaxies using machine learning Galaxy properties in clusters. II. Backsplash Galaxies

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:00.952804Z

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Observation ce0ec242-431a-43f0-ada9-dee847723adf · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:01.116800Z

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Observation ae107987-850a-4193-9d68-964774c1c96c · outbound

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Identifying backsplash galaxies using machine learning The IllustrisTNG Simulations: Public Data Release

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:01.251099Z

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Observation 88059d6f-0824-4e43-8e96-0b2f6600f2ef · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:01.333573Z

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Observation 93a9b1c6-2619-488b-8ce4-710fcc25509a · outbound

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Identifying backsplash galaxies using machine learning Photometry of 15 Clusters

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:01.438419Z

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Observation f7815b07-0481-4514-ae7f-a94dc642a8f8 · outbound

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Identifying backsplash galaxies using machine learning Tracing the Quenching History in Galaxy Clusters in the EAGLE Simulation

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:01.555363Z

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Observation dd7d3166-af57-4890-8bdf-91ec91119e9a · outbound

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Identifying backsplash galaxies using machine learning and Varoquaux, G

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:01.654906Z

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Observation 83d2ebab-fc09-4c05-95c9-0313dd77f361 · outbound

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Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:01.746318Z

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Observation fe49ac57-d2fe-48e3-b53e-4046d1cefe2a · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:01.844910Z

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Observation 4393dcb9-a4e6-4cd4-b5f3-3821ca4cc0ff · outbound

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Identifying backsplash galaxies using machine learning On the quenching of star formation in observed and simulated central galaxies: Evidence for the role of integrated AGN feedback

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:01.899527Z

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Observation a5b95ae5-e1d6-4392-ad54-5c8831710571 · outbound

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Identifying backsplash galaxies using machine learning Planck 2015 results. XIII. Cosmological parameters

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:01.971255Z

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Observation 962204b9-de8d-4499-a238-8f46640975fc · outbound

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Identifying backsplash galaxies using machine learning Dependency of halo concentration on mass, redshift and fossilness in Magneticum hydrodynamic simulations

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:02.058787Z

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Observation d7130ea8-8293-451e-adbc-a7729d00baea · outbound

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Identifying backsplash galaxies using machine learning On the evolution of the HI column density distribution in cosmological simulations

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:02.177837Z

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Observation 9ee14bf5-0c7e-4bbb-8524-3f50b5457d8c · outbound

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Identifying backsplash galaxies using machine learning Phase-space Analysis in the Group and Cluster environment: Time since Infall and Tidal Mass Loss

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:02.283452Z

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Observation 12fbe75b-6064-4dfb-80e2-0964e461c029 · outbound

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Identifying backsplash galaxies using machine learning Ram pressure stripping candidates in the Coma Cluster: Evidence for enhanced star formation

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Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:02.371592Z

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Observation 91fb67bf-caf7-4c71-808d-80481c9d568e · outbound

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Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:02.468815Z

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Observation f943d3fa-5c74-455e-bf15-dcc48662fbc6 · outbound

This paper cites , keywords =.

Identifying backsplash galaxies using machine learning , keywords =

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:02.574431Z

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Observation c7a0f5a6-f9a5-4bc4-9f94-336d4f241e85 · outbound

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Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:02.598286Z

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Observation 37950f28-05ca-4d05-bb44-f21f3b35a968 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-01T00:45:02.640642Z

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