{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:3QUTJ3KYXM2EDUJLNEKN5H7HKO","short_pith_number":"pith:3QUTJ3KY","schema_version":"1.0","canonical_sha256":"dc2934ed58bb3441d12b6914de9fe7538fdf8d873c9ed658d487c109e49f6bba","source":{"kind":"arxiv","id":"1611.01721","version":3},"attestation_state":"computed","paper":{"title":"Longitudinal RF capture simulation and BPM signal estimation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.acc-ph","authors_text":"Peng Li, Rui-shi Mao, Shuang Ruan, Tie-Cheng Zhao, Tong Liu, Xiao-Hu Zhang, Xin-Cai Kang, Yan Yin, Yan-Yu Wang, Yao-Yao You, Yong-Chun Feng, You-Jin Yuan, Yu-Cong Chen, Zhi-Guo Xu","submitted_at":"2016-11-06T02:39:54Z","abstract_excerpt":"In this paper, the theoretical aspects behind longitudinal RF capture are reviewed and the capture process is simulated via a program based on this theory. Four kinds of cases with different initial distribution and capture curve are considered, i.e. uniform distribution with adiabatic capture, uniform distribution with non-adiabatic capture, Gaussian distribution with adiabatic capture and Gaussian distribution with non-adiabatic capture. The simulation results are compared each other and discussed, and Gaussian distribution with adiabatic capture is demonstrated having a higher capture effic"},"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":"1611.01721","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.acc-ph","submitted_at":"2016-11-06T02:39:54Z","cross_cats_sorted":[],"title_canon_sha256":"dd99199884a7ae21507753458188b4e213bda2d8a43a327bf955bf019341a12b","abstract_canon_sha256":"1c888e170432822dd9f7667fa3edd045bdf62fd0f0dd49fac1bff61b0cbfd98b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:28.212193Z","signature_b64":"Bg1uie1qi6yvVA4jZKlDB95yjKFStx5fni3T3WnZ755tFFokl/YQkUdHOceRxkP2BRx1NczzcL3BEVXiPoHNCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc2934ed58bb3441d12b6914de9fe7538fdf8d873c9ed658d487c109e49f6bba","last_reissued_at":"2026-05-18T00:58:28.211491Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:28.211491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Longitudinal RF capture simulation and BPM signal estimation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.acc-ph","authors_text":"Peng Li, Rui-shi Mao, Shuang Ruan, Tie-Cheng Zhao, Tong Liu, Xiao-Hu Zhang, Xin-Cai Kang, Yan Yin, Yan-Yu Wang, Yao-Yao You, Yong-Chun Feng, You-Jin Yuan, Yu-Cong Chen, Zhi-Guo Xu","submitted_at":"2016-11-06T02:39:54Z","abstract_excerpt":"In this paper, the theoretical aspects behind longitudinal RF capture are reviewed and the capture process is simulated via a program based on this theory. Four kinds of cases with different initial distribution and capture curve are considered, i.e. uniform distribution with adiabatic capture, uniform distribution with non-adiabatic capture, Gaussian distribution with adiabatic capture and Gaussian distribution with non-adiabatic capture. The simulation results are compared each other and discussed, and Gaussian distribution with adiabatic capture is demonstrated having a higher capture effic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.01721","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"1611.01721","created_at":"2026-05-18T00:58:28.211611+00:00"},{"alias_kind":"arxiv_version","alias_value":"1611.01721v3","created_at":"2026-05-18T00:58:28.211611+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.01721","created_at":"2026-05-18T00:58:28.211611+00:00"},{"alias_kind":"pith_short_12","alias_value":"3QUTJ3KYXM2E","created_at":"2026-05-18T12:29:55.572404+00:00"},{"alias_kind":"pith_short_16","alias_value":"3QUTJ3KYXM2EDUJL","created_at":"2026-05-18T12:29:55.572404+00:00"},{"alias_kind":"pith_short_8","alias_value":"3QUTJ3KY","created_at":"2026-05-18T12:29:55.572404+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/3QUTJ3KYXM2EDUJLNEKN5H7HKO","json":"https://pith.science/pith/3QUTJ3KYXM2EDUJLNEKN5H7HKO.json","graph_json":"https://pith.science/api/pith-number/3QUTJ3KYXM2EDUJLNEKN5H7HKO/graph.json","events_json":"https://pith.science/api/pith-number/3QUTJ3KYXM2EDUJLNEKN5H7HKO/events.json","paper":"https://pith.science/paper/3QUTJ3KY"},"agent_actions":{"view_html":"https://pith.science/pith/3QUTJ3KYXM2EDUJLNEKN5H7HKO","download_json":"https://pith.science/pith/3QUTJ3KYXM2EDUJLNEKN5H7HKO.json","view_paper":"https://pith.science/paper/3QUTJ3KY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1611.01721&json=true","fetch_graph":"https://pith.science/api/pith-number/3QUTJ3KYXM2EDUJLNEKN5H7HKO/graph.json","fetch_events":"https://pith.science/api/pith-number/3QUTJ3KYXM2EDUJLNEKN5H7HKO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3QUTJ3KYXM2EDUJLNEKN5H7HKO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3QUTJ3KYXM2EDUJLNEKN5H7HKO/action/storage_attestation","attest_author":"https://pith.science/pith/3QUTJ3KYXM2EDUJLNEKN5H7HKO/action/author_attestation","sign_citation":"https://pith.science/pith/3QUTJ3KYXM2EDUJLNEKN5H7HKO/action/citation_signature","submit_replication":"https://pith.science/pith/3QUTJ3KYXM2EDUJLNEKN5H7HKO/action/replication_record"}},"created_at":"2026-05-18T00:58:28.211611+00:00","updated_at":"2026-05-18T00:58:28.211611+00:00"}