{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:V2MF3WVNR3AEXLTQHV3S6UPAXP","short_pith_number":"pith:V2MF3WVN","schema_version":"1.0","canonical_sha256":"ae985ddaad8ec04bae703d772f51e0bbfce0961e46bec8d5e8c0180cc9d8be1d","source":{"kind":"arxiv","id":"2009.02765","version":2},"attestation_state":"computed","paper":{"title":"Robust Intensity Mapping Analysis against Foregrounds for the Epoch of Reionization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.GA","astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Jianrong Tan (Tsinghua/UPenn), Meng Zhou (Tsinghua), Yi Mao (Tsinghua)","submitted_at":"2020-09-06T16:12:29Z","abstract_excerpt":"Intensity mapping of the HI 21 cm line and the CO 2.61 mm line from the epoch of reionization has emerged as powerful, complementary, probes of the high-redshift Universe. However, both maps and their cross-correlation are dominated by foregrounds. We propose a new analysis by which the signal is unbiased by foregrounds, i.e. it can be measured without foreground mitigation. We construct the antisymmetric part of the HI-CO cross-correlation, arising because the statistical fluctuations of two fields have different evolution in time. We show that the sign of this new signal can distinguish mode"},"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":"2009.02765","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2020-09-06T16:12:29Z","cross_cats_sorted":["astro-ph.GA","astro-ph.IM"],"title_canon_sha256":"3c8c265e22a0c5dfb266c7c0d76ae62ca3525e44e0fe19d90c7336f157b34c25","abstract_canon_sha256":"4463252757e74359d76dcd59ee67a8ecd3e8e29a823343c55b002b37b7e36000"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:05:27.424185Z","signature_b64":"Kuzhgt27IqRl2foTr1NnZJuLjh4HNJlslMQ63GYbQ/Km+x54ikLpi7pFdbcWut6efpnGy10uA1H7SBMOY6d7Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ae985ddaad8ec04bae703d772f51e0bbfce0961e46bec8d5e8c0180cc9d8be1d","last_reissued_at":"2026-07-05T02:05:27.423712Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:05:27.423712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Robust Intensity Mapping Analysis against Foregrounds for the Epoch of Reionization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.GA","astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Jianrong Tan (Tsinghua/UPenn), Meng Zhou (Tsinghua), Yi Mao (Tsinghua)","submitted_at":"2020-09-06T16:12:29Z","abstract_excerpt":"Intensity mapping of the HI 21 cm line and the CO 2.61 mm line from the epoch of reionization has emerged as powerful, complementary, probes of the high-redshift Universe. However, both maps and their cross-correlation are dominated by foregrounds. We propose a new analysis by which the signal is unbiased by foregrounds, i.e. it can be measured without foreground mitigation. We construct the antisymmetric part of the HI-CO cross-correlation, arising because the statistical fluctuations of two fields have different evolution in time. We show that the sign of this new signal can distinguish mode"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.02765","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/2009.02765/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":"2009.02765","created_at":"2026-07-05T02:05:27.423770+00:00"},{"alias_kind":"arxiv_version","alias_value":"2009.02765v2","created_at":"2026-07-05T02:05:27.423770+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.02765","created_at":"2026-07-05T02:05:27.423770+00:00"},{"alias_kind":"pith_short_12","alias_value":"V2MF3WVNR3AE","created_at":"2026-07-05T02:05:27.423770+00:00"},{"alias_kind":"pith_short_16","alias_value":"V2MF3WVNR3AEXLTQ","created_at":"2026-07-05T02:05:27.423770+00:00"},{"alias_kind":"pith_short_8","alias_value":"V2MF3WVN","created_at":"2026-07-05T02:05:27.423770+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2509.02414","citing_title":"Disentangling Target Lines from Interlopers and Continuum with Neural Networks: A SPHEREx Intensity Mapping Case Study","ref_index":96,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/V2MF3WVNR3AEXLTQHV3S6UPAXP","json":"https://pith.science/pith/V2MF3WVNR3AEXLTQHV3S6UPAXP.json","graph_json":"https://pith.science/api/pith-number/V2MF3WVNR3AEXLTQHV3S6UPAXP/graph.json","events_json":"https://pith.science/api/pith-number/V2MF3WVNR3AEXLTQHV3S6UPAXP/events.json","paper":"https://pith.science/paper/V2MF3WVN"},"agent_actions":{"view_html":"https://pith.science/pith/V2MF3WVNR3AEXLTQHV3S6UPAXP","download_json":"https://pith.science/pith/V2MF3WVNR3AEXLTQHV3S6UPAXP.json","view_paper":"https://pith.science/paper/V2MF3WVN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2009.02765&json=true","fetch_graph":"https://pith.science/api/pith-number/V2MF3WVNR3AEXLTQHV3S6UPAXP/graph.json","fetch_events":"https://pith.science/api/pith-number/V2MF3WVNR3AEXLTQHV3S6UPAXP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V2MF3WVNR3AEXLTQHV3S6UPAXP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V2MF3WVNR3AEXLTQHV3S6UPAXP/action/storage_attestation","attest_author":"https://pith.science/pith/V2MF3WVNR3AEXLTQHV3S6UPAXP/action/author_attestation","sign_citation":"https://pith.science/pith/V2MF3WVNR3AEXLTQHV3S6UPAXP/action/citation_signature","submit_replication":"https://pith.science/pith/V2MF3WVNR3AEXLTQHV3S6UPAXP/action/replication_record"}},"created_at":"2026-07-05T02:05:27.423770+00:00","updated_at":"2026-07-05T02:05:27.423770+00:00"}