{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:55WVR6ORTDNB54DKRHYHVFEH5N","short_pith_number":"pith:55WVR6OR","schema_version":"1.0","canonical_sha256":"ef6d58f9d198da1ef06a89f07a9487eb577d7108a310837b5b7bf2bb4059e010","source":{"kind":"arxiv","id":"2204.13131","version":2},"attestation_state":"computed","paper":{"title":"Accurate Model of the Projected Velocity Distribution of Galaxies in Dark Matter Halos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Brandon Wolfe, Daisuke Nagai, Eduardo Rozo, Han Aung, Susmita Adhikari","submitted_at":"2022-04-27T18:00:21Z","abstract_excerpt":"We present a percent-level accurate model of the line-of-sight velocity distribution of galaxies around dark matter halos as a function of projected radius and halo mass. The model is developed and tested using synthetic galaxy catalogs generated with the UniverseMachine run on the Multi-Dark Planck 2 N-body simulations. The model decomposes the galaxies around a cluster into three kinematically distinct classes: orbiting, infalling, and interloping galaxies. We demonstrate that: 1) we can statistically distinguish between these three types of galaxies using only projected line-of-sight veloci"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2204.13131","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2022-04-27T18:00:21Z","cross_cats_sorted":[],"title_canon_sha256":"03b69a633af58d3133d660b01b10d34deb574d88b1aac069b384ac1bb55234ba","abstract_canon_sha256":"df6e7692b9104c70f01c6aa3a3f88149ed01048a774dbaf5b97ab2e7fce21237"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:57:53.247850Z","signature_b64":"HMZViXjZu9lWJ09zRdPS+Z+UxSPTA/ZRe0kIzCXZM2ZhQV0WsJLQE5Ixy2IO1qgU2EeLSxdjtl9BwXfQ9S0pBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ef6d58f9d198da1ef06a89f07a9487eb577d7108a310837b5b7bf2bb4059e010","last_reissued_at":"2026-07-05T05:57:53.247326Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:57:53.247326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Accurate Model of the Projected Velocity Distribution of Galaxies in Dark Matter Halos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Brandon Wolfe, Daisuke Nagai, Eduardo Rozo, Han Aung, Susmita Adhikari","submitted_at":"2022-04-27T18:00:21Z","abstract_excerpt":"We present a percent-level accurate model of the line-of-sight velocity distribution of galaxies around dark matter halos as a function of projected radius and halo mass. The model is developed and tested using synthetic galaxy catalogs generated with the UniverseMachine run on the Multi-Dark Planck 2 N-body simulations. The model decomposes the galaxies around a cluster into three kinematically distinct classes: orbiting, infalling, and interloping galaxies. We demonstrate that: 1) we can statistically distinguish between these three types of galaxies using only projected line-of-sight veloci"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.13131","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2204.13131/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2204.13131","created_at":"2026-07-05T05:57:53.247389+00:00"},{"alias_kind":"arxiv_version","alias_value":"2204.13131v2","created_at":"2026-07-05T05:57:53.247389+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.13131","created_at":"2026-07-05T05:57:53.247389+00:00"},{"alias_kind":"pith_short_12","alias_value":"55WVR6ORTDNB","created_at":"2026-07-05T05:57:53.247389+00:00"},{"alias_kind":"pith_short_16","alias_value":"55WVR6ORTDNB54DK","created_at":"2026-07-05T05:57:53.247389+00:00"},{"alias_kind":"pith_short_8","alias_value":"55WVR6OR","created_at":"2026-07-05T05:57:53.247389+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/55WVR6ORTDNB54DKRHYHVFEH5N","json":"https://pith.science/pith/55WVR6ORTDNB54DKRHYHVFEH5N.json","graph_json":"https://pith.science/api/pith-number/55WVR6ORTDNB54DKRHYHVFEH5N/graph.json","events_json":"https://pith.science/api/pith-number/55WVR6ORTDNB54DKRHYHVFEH5N/events.json","paper":"https://pith.science/paper/55WVR6OR"},"agent_actions":{"view_html":"https://pith.science/pith/55WVR6ORTDNB54DKRHYHVFEH5N","download_json":"https://pith.science/pith/55WVR6ORTDNB54DKRHYHVFEH5N.json","view_paper":"https://pith.science/paper/55WVR6OR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2204.13131&json=true","fetch_graph":"https://pith.science/api/pith-number/55WVR6ORTDNB54DKRHYHVFEH5N/graph.json","fetch_events":"https://pith.science/api/pith-number/55WVR6ORTDNB54DKRHYHVFEH5N/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/55WVR6ORTDNB54DKRHYHVFEH5N/action/timestamp_anchor","attest_storage":"https://pith.science/pith/55WVR6ORTDNB54DKRHYHVFEH5N/action/storage_attestation","attest_author":"https://pith.science/pith/55WVR6ORTDNB54DKRHYHVFEH5N/action/author_attestation","sign_citation":"https://pith.science/pith/55WVR6ORTDNB54DKRHYHVFEH5N/action/citation_signature","submit_replication":"https://pith.science/pith/55WVR6ORTDNB54DKRHYHVFEH5N/action/replication_record"}},"created_at":"2026-07-05T05:57:53.247389+00:00","updated_at":"2026-07-05T05:57:53.247389+00:00"}