{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:G56S6ICLSIGL6KVAO3JZHTJTYF","short_pith_number":"pith:G56S6ICL","schema_version":"1.0","canonical_sha256":"377d2f204b920cbf2aa076d393cd33c17dcd3b3b177dd0659c63f388ec339356","source":{"kind":"arxiv","id":"1709.03802","version":1},"attestation_state":"computed","paper":{"title":"Ray-tracing 3D dust radiative transfer with DART-Ray: code upgrade and public release","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Adam J. Clarke, Cristina C. Popescu, Giovanni Natale, Jordan J. Thirlwall, J\\\"org Fischera, Mark Rushton, Richard. J. Tuffs, Stefano Pasetto, Victor P. Debattista","submitted_at":"2017-09-12T12:21:46Z","abstract_excerpt":"We present an extensively updated version of the purely ray-tracing 3D dust radiation transfer code DART-Ray. The new version includes five major upgrades : 1) a series of optimizations for the ray-angular density and the scattered radiation source function; 2) the implementation of several data and task parallelizations using hybrid MPI+OpenMP schemes; 3) the inclusion of dust self-heating; 4) the ability to produce surface brightness maps for observers within the models in HEALPix format; 5) the possibility to set the expected numerical accuracy already at the start of the calculation. We te"},"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":"1709.03802","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-09-12T12:21:46Z","cross_cats_sorted":[],"title_canon_sha256":"fb220982974f62e2172404e15abeda58effe178319200d9c93300496bd8f2933","abstract_canon_sha256":"63d6fb58bd2e74b74ed84c6f4a0127c47f8fdf384b5055e5b6759bd014f9a8a7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:28.869176Z","signature_b64":"OjMOwrAYQt7CxLHjG9BcAHe1+bdOEai/Xxj6Vdj26Fg+ei4GoBMusDbaxGFBbphftG6SPvyyB0lWvR2It6NUCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"377d2f204b920cbf2aa076d393cd33c17dcd3b3b177dd0659c63f388ec339356","last_reissued_at":"2026-05-18T00:29:28.868679Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:28.868679Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Ray-tracing 3D dust radiative transfer with DART-Ray: code upgrade and public release","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Adam J. Clarke, Cristina C. Popescu, Giovanni Natale, Jordan J. Thirlwall, J\\\"org Fischera, Mark Rushton, Richard. J. Tuffs, Stefano Pasetto, Victor P. Debattista","submitted_at":"2017-09-12T12:21:46Z","abstract_excerpt":"We present an extensively updated version of the purely ray-tracing 3D dust radiation transfer code DART-Ray. The new version includes five major upgrades : 1) a series of optimizations for the ray-angular density and the scattered radiation source function; 2) the implementation of several data and task parallelizations using hybrid MPI+OpenMP schemes; 3) the inclusion of dust self-heating; 4) the ability to produce surface brightness maps for observers within the models in HEALPix format; 5) the possibility to set the expected numerical accuracy already at the start of the calculation. We te"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.03802","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":"1709.03802","created_at":"2026-05-18T00:29:28.868775+00:00"},{"alias_kind":"arxiv_version","alias_value":"1709.03802v1","created_at":"2026-05-18T00:29:28.868775+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.03802","created_at":"2026-05-18T00:29:28.868775+00:00"},{"alias_kind":"pith_short_12","alias_value":"G56S6ICLSIGL","created_at":"2026-05-18T12:31:15.632608+00:00"},{"alias_kind":"pith_short_16","alias_value":"G56S6ICLSIGL6KVA","created_at":"2026-05-18T12:31:15.632608+00:00"},{"alias_kind":"pith_short_8","alias_value":"G56S6ICL","created_at":"2026-05-18T12:31:15.632608+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/G56S6ICLSIGL6KVAO3JZHTJTYF","json":"https://pith.science/pith/G56S6ICLSIGL6KVAO3JZHTJTYF.json","graph_json":"https://pith.science/api/pith-number/G56S6ICLSIGL6KVAO3JZHTJTYF/graph.json","events_json":"https://pith.science/api/pith-number/G56S6ICLSIGL6KVAO3JZHTJTYF/events.json","paper":"https://pith.science/paper/G56S6ICL"},"agent_actions":{"view_html":"https://pith.science/pith/G56S6ICLSIGL6KVAO3JZHTJTYF","download_json":"https://pith.science/pith/G56S6ICLSIGL6KVAO3JZHTJTYF.json","view_paper":"https://pith.science/paper/G56S6ICL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1709.03802&json=true","fetch_graph":"https://pith.science/api/pith-number/G56S6ICLSIGL6KVAO3JZHTJTYF/graph.json","fetch_events":"https://pith.science/api/pith-number/G56S6ICLSIGL6KVAO3JZHTJTYF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G56S6ICLSIGL6KVAO3JZHTJTYF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G56S6ICLSIGL6KVAO3JZHTJTYF/action/storage_attestation","attest_author":"https://pith.science/pith/G56S6ICLSIGL6KVAO3JZHTJTYF/action/author_attestation","sign_citation":"https://pith.science/pith/G56S6ICLSIGL6KVAO3JZHTJTYF/action/citation_signature","submit_replication":"https://pith.science/pith/G56S6ICLSIGL6KVAO3JZHTJTYF/action/replication_record"}},"created_at":"2026-05-18T00:29:28.868775+00:00","updated_at":"2026-05-18T00:29:28.868775+00:00"}