{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:H6GZTXM3YVQ3UBIBLZB457T7DL","short_pith_number":"pith:H6GZTXM3","schema_version":"1.0","canonical_sha256":"3f8d99dd9bc561ba05015e43cefe7f1aedafc157b1bdf71750f1c8f5157be325","source":{"kind":"arxiv","id":"1412.3451","version":1},"attestation_state":"computed","paper":{"title":"galpy: A Python Library for Galactic Dynamics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.GA","authors_text":"Jo Bovy (IAS)","submitted_at":"2014-12-10T21:00:00Z","abstract_excerpt":"I describe the design, implementation, and usage of galpy, a Python package for galactic-dynamics calculations. At its core, galpy consists of a general framework for representing galactic potentials both in Python and in C (for accelerated computations); galpy functions, objects, and methods can generally take arbitrary combinations of these as arguments. Numerical orbit integration is supported with a variety of Runge-Kutta-type and symplectic integrators. For planar orbits, integration of the phase-space volume is also possible. galpy supports the calculation of action-angle coordinates and"},"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":"1412.3451","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.GA","submitted_at":"2014-12-10T21:00:00Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"14278923bde11ea46f13749e0129151e46b469ec5e76af6b0d4156c0ddf8bd79","abstract_canon_sha256":"e91f75331c585dea85bd4538d34b3e55f12570849af1a2a2c02ffe0e9d51ca5a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:41:19.971340Z","signature_b64":"RTDYuX6CA4Tz1U1ad22Py6JOpblCTgrerulW6OJfPVo0tCgrBO9prsDFZhcFp5+cn3z/lO9qMDe+XIuHNIPMBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f8d99dd9bc561ba05015e43cefe7f1aedafc157b1bdf71750f1c8f5157be325","last_reissued_at":"2026-05-18T01:41:19.970741Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:41:19.970741Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"galpy: A Python Library for Galactic Dynamics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.GA","authors_text":"Jo Bovy (IAS)","submitted_at":"2014-12-10T21:00:00Z","abstract_excerpt":"I describe the design, implementation, and usage of galpy, a Python package for galactic-dynamics calculations. At its core, galpy consists of a general framework for representing galactic potentials both in Python and in C (for accelerated computations); galpy functions, objects, and methods can generally take arbitrary combinations of these as arguments. Numerical orbit integration is supported with a variety of Runge-Kutta-type and symplectic integrators. For planar orbits, integration of the phase-space volume is also possible. galpy supports the calculation of action-angle coordinates and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.3451","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":"1412.3451","created_at":"2026-05-18T01:41:19.970827+00:00"},{"alias_kind":"arxiv_version","alias_value":"1412.3451v1","created_at":"2026-05-18T01:41:19.970827+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.3451","created_at":"2026-05-18T01:41:19.970827+00:00"},{"alias_kind":"pith_short_12","alias_value":"H6GZTXM3YVQ3","created_at":"2026-05-18T12:28:30.664211+00:00"},{"alias_kind":"pith_short_16","alias_value":"H6GZTXM3YVQ3UBIB","created_at":"2026-05-18T12:28:30.664211+00:00"},{"alias_kind":"pith_short_8","alias_value":"H6GZTXM3","created_at":"2026-05-18T12:28:30.664211+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":32,"internal_anchor_count":11,"sample":[{"citing_arxiv_id":"1907.00987","citing_title":"Applying Liouville's Theorem to Gaia Data","ref_index":56,"is_internal_anchor":true},{"citing_arxiv_id":"2605.23746","citing_title":"Gaia-Sausage-Enceladus: Lithium evolution from early red-giant-branch and main-sequence stars","ref_index":13,"is_internal_anchor":true},{"citing_arxiv_id":"2605.23801","citing_title":"Unsupervised Chemo-Dynamical Dissection of the Inner Galactic Halo: Discovery of Five Accreted Substructures with SDSS-V and Gaia","ref_index":9,"is_internal_anchor":true},{"citing_arxiv_id":"2206.14220","citing_title":"The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package","ref_index":20,"is_internal_anchor":true},{"citing_arxiv_id":"2605.21735","citing_title":"Milky Way Mapper decoded abundances -- II: From patterns to paths","ref_index":18,"is_internal_anchor":true},{"citing_arxiv_id":"2605.20487","citing_title":"Milky Way Mapper decoded abundances -- I. Shared disc enrichment patterns","ref_index":7,"is_internal_anchor":true},{"citing_arxiv_id":"2605.20322","citing_title":"Inferring Globular Cluster Initial Mass Function from Stellar Streams","ref_index":5,"is_internal_anchor":true},{"citing_arxiv_id":"2605.18995","citing_title":"Blue Straggler Stars in Old Open Clusters and the Kraft Break","ref_index":228,"is_internal_anchor":true},{"citing_arxiv_id":"2605.19000","citing_title":"Exoplanets in ancient stellar populations: occurrence constraints and hot-Jupiter candidates in the Galactic halo","ref_index":53,"is_internal_anchor":true},{"citing_arxiv_id":"2605.18131","citing_title":"Inferring stellar metallicity and elemental abundances from kinematic and spectroscopic data using machine learning -- Implications for exoplanet host stars","ref_index":4,"is_internal_anchor":true},{"citing_arxiv_id":"2605.11074","citing_title":"Observational Signatures and Constraints on the Intermediate Neutron-Capture Process. The Case of the CEMP star TYC 6044-714-1 (RAVE J094921.8-161722)","ref_index":119,"is_internal_anchor":true},{"citing_arxiv_id":"2506.21410","citing_title":"Sifting for a Stream: The Morphology of the $300S$ Stellar Stream","ref_index":16,"is_internal_anchor":false},{"citing_arxiv_id":"2509.07678","citing_title":"3I/ATLAS: In Search of the Witnesses to Its Voyage","ref_index":7,"is_internal_anchor":false},{"citing_arxiv_id":"2509.09576","citing_title":"Build-up and survival of the disc: From numerical models of galaxy formation to the Milky Way","ref_index":25,"is_internal_anchor":false},{"citing_arxiv_id":"2601.12789","citing_title":"Classical Be Stars and Classical Be Star Binaries from LAMOST DR12","ref_index":11,"is_internal_anchor":false},{"citing_arxiv_id":"2601.22490","citing_title":"SED and Galactic kinematic diagnostics for dormant BH/NS binary candidates","ref_index":9,"is_internal_anchor":false},{"citing_arxiv_id":"2605.14187","citing_title":"The Distribution of Blue Straggler Stars in the Color-Magnitude Diagrams of Old Open Clusters","ref_index":225,"is_internal_anchor":false},{"citing_arxiv_id":"2604.21646","citing_title":"An Old, Low-mass, Metal-poor Hypervelocity Star Candidate Consistent with a Galactic Center Origin","ref_index":6,"is_internal_anchor":false},{"citing_arxiv_id":"2605.12424","citing_title":"Self-consistent dynamical modelling of the Milky Way bar with orbital frequency analysis","ref_index":98,"is_internal_anchor":false},{"citing_arxiv_id":"2605.11074","citing_title":"Observational Signatures and Constraints on the Intermediate Neutron-Capture Process. The Case of the CEMP star TYC 6044-714-1 (RAVE J094921.8-161722)","ref_index":119,"is_internal_anchor":false},{"citing_arxiv_id":"2605.01436","citing_title":"Constraints on Einstein-aether gravity from the precision timing of PSR J1738+0333","ref_index":82,"is_internal_anchor":false},{"citing_arxiv_id":"2605.07511","citing_title":"Dynamical evolution of Milky Way globular clusters on the cosmological timescale II. Terzan 2, 4, and 5 mass loss and collision tracking","ref_index":26,"is_internal_anchor":false},{"citing_arxiv_id":"2605.07392","citing_title":"Mass Production of 2023 KMTNet Microlensing Planets. III: Three Planets from the Subprime Field","ref_index":1,"is_internal_anchor":false},{"citing_arxiv_id":"2604.12494","citing_title":"Multiwavelength Study of Blue Straggler Stars in Tombaugh 2: Evidence for Binary Mass Transfer and Constraints on Cluster Dynamical State","ref_index":18,"is_internal_anchor":false},{"citing_arxiv_id":"2604.14502","citing_title":"The Last Galactic Firework: Timing the last significant merger with stars, globular clusters and $\\omega$Centauri","ref_index":11,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/H6GZTXM3YVQ3UBIBLZB457T7DL","json":"https://pith.science/pith/H6GZTXM3YVQ3UBIBLZB457T7DL.json","graph_json":"https://pith.science/api/pith-number/H6GZTXM3YVQ3UBIBLZB457T7DL/graph.json","events_json":"https://pith.science/api/pith-number/H6GZTXM3YVQ3UBIBLZB457T7DL/events.json","paper":"https://pith.science/paper/H6GZTXM3"},"agent_actions":{"view_html":"https://pith.science/pith/H6GZTXM3YVQ3UBIBLZB457T7DL","download_json":"https://pith.science/pith/H6GZTXM3YVQ3UBIBLZB457T7DL.json","view_paper":"https://pith.science/paper/H6GZTXM3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1412.3451&json=true","fetch_graph":"https://pith.science/api/pith-number/H6GZTXM3YVQ3UBIBLZB457T7DL/graph.json","fetch_events":"https://pith.science/api/pith-number/H6GZTXM3YVQ3UBIBLZB457T7DL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H6GZTXM3YVQ3UBIBLZB457T7DL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H6GZTXM3YVQ3UBIBLZB457T7DL/action/storage_attestation","attest_author":"https://pith.science/pith/H6GZTXM3YVQ3UBIBLZB457T7DL/action/author_attestation","sign_citation":"https://pith.science/pith/H6GZTXM3YVQ3UBIBLZB457T7DL/action/citation_signature","submit_replication":"https://pith.science/pith/H6GZTXM3YVQ3UBIBLZB457T7DL/action/replication_record"}},"created_at":"2026-05-18T01:41:19.970827+00:00","updated_at":"2026-05-18T01:41:19.970827+00:00"}