{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:P453PWJY6JF2HRVGUHAD7JHDOY","short_pith_number":"pith:P453PWJY","schema_version":"1.0","canonical_sha256":"7f3bb7d938f24ba3c6a6a1c03fa4e376159d55d035a50320d112d7d6973c605f","source":{"kind":"arxiv","id":"2406.01527","version":1},"attestation_state":"computed","paper":{"title":"Modelling the redshift-space cluster-galaxy correlation function on Mpc scales with emulation of the pairwise velocity distribution","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"(2) ICC, Andrew Robertson (1), Baojiu Li (2) ((1) JPL, Durham), Eric Huff (1), Katarina Markovic (1)","submitted_at":"2024-06-03T16:57:27Z","abstract_excerpt":"We present a method for modelling the cluster-galaxy correlation function in redshift-space, down to ~ Mpc scales. The method builds upon the so-called Galaxy Infall Kinematics (GIK) model, a parametric model for the pairwise velocities of galaxies with respect to nearby galaxy clusters. We fit the parameters of the GIK model to a suite of simulations run with different cosmologies, and use Gaussian Processes to emulate how the GIK parameters depend upon cosmology. This emulator can then be combined with knowledge of the real-space clustering of clusters and galaxies, to predict the cluster-ga"},"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":"2406.01527","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.CO","submitted_at":"2024-06-03T16:57:27Z","cross_cats_sorted":[],"title_canon_sha256":"203c0dba3403571a68bfe8bc737dcdcbd4d336c976316a81fb0066fd7602d805","abstract_canon_sha256":"32648d78f9e1c5304646890e43fce42a643e4544c597a36ae6e0c8f843ff4aa7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:26:40.756997Z","signature_b64":"jOwRT6xrO/iXZ6NRLBmxRipaPD96pro1P0k5fPJOcDF3BaLPkvuMYUf0jAleuG/HfARX57ij7ooeLBy72cxWCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7f3bb7d938f24ba3c6a6a1c03fa4e376159d55d035a50320d112d7d6973c605f","last_reissued_at":"2026-07-05T08:26:40.756531Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:26:40.756531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Modelling the redshift-space cluster-galaxy correlation function on Mpc scales with emulation of the pairwise velocity distribution","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"(2) ICC, Andrew Robertson (1), Baojiu Li (2) ((1) JPL, Durham), Eric Huff (1), Katarina Markovic (1)","submitted_at":"2024-06-03T16:57:27Z","abstract_excerpt":"We present a method for modelling the cluster-galaxy correlation function in redshift-space, down to ~ Mpc scales. The method builds upon the so-called Galaxy Infall Kinematics (GIK) model, a parametric model for the pairwise velocities of galaxies with respect to nearby galaxy clusters. We fit the parameters of the GIK model to a suite of simulations run with different cosmologies, and use Gaussian Processes to emulate how the GIK parameters depend upon cosmology. This emulator can then be combined with knowledge of the real-space clustering of clusters and galaxies, to predict the cluster-ga"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.01527","kind":"arxiv","version":1},"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/2406.01527/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":"2406.01527","created_at":"2026-07-05T08:26:40.756587+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.01527v1","created_at":"2026-07-05T08:26:40.756587+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.01527","created_at":"2026-07-05T08:26:40.756587+00:00"},{"alias_kind":"pith_short_12","alias_value":"P453PWJY6JF2","created_at":"2026-07-05T08:26:40.756587+00:00"},{"alias_kind":"pith_short_16","alias_value":"P453PWJY6JF2HRVG","created_at":"2026-07-05T08:26:40.756587+00:00"},{"alias_kind":"pith_short_8","alias_value":"P453PWJY","created_at":"2026-07-05T08:26:40.756587+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.26237","citing_title":"First full-shape joint analysis of the two- and three-point correlation functions on real data: $\\Lambda$CDM cosmological constraints from BOSS DR12","ref_index":151,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/P453PWJY6JF2HRVGUHAD7JHDOY","json":"https://pith.science/pith/P453PWJY6JF2HRVGUHAD7JHDOY.json","graph_json":"https://pith.science/api/pith-number/P453PWJY6JF2HRVGUHAD7JHDOY/graph.json","events_json":"https://pith.science/api/pith-number/P453PWJY6JF2HRVGUHAD7JHDOY/events.json","paper":"https://pith.science/paper/P453PWJY"},"agent_actions":{"view_html":"https://pith.science/pith/P453PWJY6JF2HRVGUHAD7JHDOY","download_json":"https://pith.science/pith/P453PWJY6JF2HRVGUHAD7JHDOY.json","view_paper":"https://pith.science/paper/P453PWJY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.01527&json=true","fetch_graph":"https://pith.science/api/pith-number/P453PWJY6JF2HRVGUHAD7JHDOY/graph.json","fetch_events":"https://pith.science/api/pith-number/P453PWJY6JF2HRVGUHAD7JHDOY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P453PWJY6JF2HRVGUHAD7JHDOY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P453PWJY6JF2HRVGUHAD7JHDOY/action/storage_attestation","attest_author":"https://pith.science/pith/P453PWJY6JF2HRVGUHAD7JHDOY/action/author_attestation","sign_citation":"https://pith.science/pith/P453PWJY6JF2HRVGUHAD7JHDOY/action/citation_signature","submit_replication":"https://pith.science/pith/P453PWJY6JF2HRVGUHAD7JHDOY/action/replication_record"}},"created_at":"2026-07-05T08:26:40.756587+00:00","updated_at":"2026-07-05T08:26:40.756587+00:00"}