{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:M6ABDANDXS6LLXHAFXHQHBUPYT","short_pith_number":"pith:M6ABDAND","schema_version":"1.0","canonical_sha256":"67801181a3bcbcb5dce02dcf03868fc4c10019e2a17ced95293d15db704d33fb","source":{"kind":"arxiv","id":"1504.07433","version":1},"attestation_state":"computed","paper":{"title":"PyTransit: Fast and Easy Exoplanet Transit Modelling in Python","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.EP","authors_text":"Hannu Parviainen","submitted_at":"2015-04-28T11:40:53Z","abstract_excerpt":"We present a fast and user friendly exoplanet transit light curve modelling package PyTransit, implementing optimised versions of the Gimen\\'ez and the Mandel & Agol transit models. The package offers an object-oriented Python interface to access the two models implemented natively in Fortran with OpenMP parallelisation. A partial OpenCL version of the quadratic Mandel-Agol model is also included for GPU-accelerated computations. The aim of PyTransit is to facilitate the analysis of photometric time series of exoplanet transits consisting of hundreds of thousands of datapoints, and of multi-pa"},"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":"1504.07433","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.EP","submitted_at":"2015-04-28T11:40:53Z","cross_cats_sorted":[],"title_canon_sha256":"49d90ad4d6e60a9e4154c38fd2d88065818134279834e713c015b1d6ca1d80e0","abstract_canon_sha256":"739ef32d088501e025e7da5392dfeeb403771f652971f1a85629cccdb12d7505"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:17:34.733400Z","signature_b64":"mOQR+1b8xM/32N+ERbAJHAazP9kdpKAFtUHXcG9smXDqmVok1z8P3EJPrElhaSGRf4ZkINuiQUErzRIyTJ1gAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"67801181a3bcbcb5dce02dcf03868fc4c10019e2a17ced95293d15db704d33fb","last_reissued_at":"2026-05-18T02:17:34.732768Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:17:34.732768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PyTransit: Fast and Easy Exoplanet Transit Modelling in Python","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.EP","authors_text":"Hannu Parviainen","submitted_at":"2015-04-28T11:40:53Z","abstract_excerpt":"We present a fast and user friendly exoplanet transit light curve modelling package PyTransit, implementing optimised versions of the Gimen\\'ez and the Mandel & Agol transit models. The package offers an object-oriented Python interface to access the two models implemented natively in Fortran with OpenMP parallelisation. A partial OpenCL version of the quadratic Mandel-Agol model is also included for GPU-accelerated computations. The aim of PyTransit is to facilitate the analysis of photometric time series of exoplanet transits consisting of hundreds of thousands of datapoints, and of multi-pa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.07433","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":""},"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":"1504.07433","created_at":"2026-05-18T02:17:34.732893+00:00"},{"alias_kind":"arxiv_version","alias_value":"1504.07433v1","created_at":"2026-05-18T02:17:34.732893+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.07433","created_at":"2026-05-18T02:17:34.732893+00:00"},{"alias_kind":"pith_short_12","alias_value":"M6ABDANDXS6L","created_at":"2026-05-18T12:29:32.376354+00:00"},{"alias_kind":"pith_short_16","alias_value":"M6ABDANDXS6LLXHA","created_at":"2026-05-18T12:29:32.376354+00:00"},{"alias_kind":"pith_short_8","alias_value":"M6ABDAND","created_at":"2026-05-18T12:29:32.376354+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2606.20224","citing_title":"TOI-2147 b and TOI-6019 b: Two eccentric warm Jupiters detected and characterized with TESS and MaHPS","ref_index":1,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/M6ABDANDXS6LLXHAFXHQHBUPYT","json":"https://pith.science/pith/M6ABDANDXS6LLXHAFXHQHBUPYT.json","graph_json":"https://pith.science/api/pith-number/M6ABDANDXS6LLXHAFXHQHBUPYT/graph.json","events_json":"https://pith.science/api/pith-number/M6ABDANDXS6LLXHAFXHQHBUPYT/events.json","paper":"https://pith.science/paper/M6ABDAND"},"agent_actions":{"view_html":"https://pith.science/pith/M6ABDANDXS6LLXHAFXHQHBUPYT","download_json":"https://pith.science/pith/M6ABDANDXS6LLXHAFXHQHBUPYT.json","view_paper":"https://pith.science/paper/M6ABDAND","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1504.07433&json=true","fetch_graph":"https://pith.science/api/pith-number/M6ABDANDXS6LLXHAFXHQHBUPYT/graph.json","fetch_events":"https://pith.science/api/pith-number/M6ABDANDXS6LLXHAFXHQHBUPYT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M6ABDANDXS6LLXHAFXHQHBUPYT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M6ABDANDXS6LLXHAFXHQHBUPYT/action/storage_attestation","attest_author":"https://pith.science/pith/M6ABDANDXS6LLXHAFXHQHBUPYT/action/author_attestation","sign_citation":"https://pith.science/pith/M6ABDANDXS6LLXHAFXHQHBUPYT/action/citation_signature","submit_replication":"https://pith.science/pith/M6ABDANDXS6LLXHAFXHQHBUPYT/action/replication_record"}},"created_at":"2026-05-18T02:17:34.732893+00:00","updated_at":"2026-05-18T02:17:34.732893+00:00"}