{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ZIYOCHHTK5WKHVJTCEEUTP7UJW","short_pith_number":"pith:ZIYOCHHT","schema_version":"1.0","canonical_sha256":"ca30e11cf3576ca3d533110949bff44d9ca22a4390adba13568036a7ea268faa","source":{"kind":"arxiv","id":"2408.00922","version":1},"attestation_state":"computed","paper":{"title":"Enhancing weak lensing redshift distribution characterization by optimizing the Dark Energy Survey Self-Organizing Map Photo-z method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"A. Alarcon, A. Amon, A. A. Plazas Malag\\'on, A. Campos, A. Carnero Rosell, A. Choi, A. Drlica-Wagner, A. Fert\\'e, A. J. Ross, A. Navarro-Alsina, A. Pieres, A. Porredon, A. Roodman, B. Flaugher, B. Yanny, B. Yin, C. Chang, C. Davis, C. Doux, C. S\\'anchez, C. To, D. Bacon, D. Brooks, D. Gruen, D. J. James, D. L. Burke, D. L. Hollowood, D. Sanchez Cid, E. Gaztanaga, E. Krause, E. M. Huff, E. Sanchez, E. Sheldon, E. S. Rykoff, E. Suchyta, F. Andrade-Oliveira, F. J. Castander, F. Menanteau, G. Giannini, G. Gutierrez, G. M. Bernstein, G. Tarle, H. Camacho, H. Huang, H. Lin, H. T. Diehl, I. Ferrero, I. Harrison, I. Sevilla-Noarbe, I. Tutusaus, J. Annis, J. Blazek, J. Carretero, J. Cordero, J. DeRose, J. De Vicente, J. Elvin-Poole, J. Frieman, J. Garc\\'ia-Bellido, J. L. Marshall, J. McCullough, J. Mena-Fern\\'andez, J. Myles, J. Prat, J. Sanchez, J. Zuntz, K. Bechtol, K. Eckert, K. Herner, K. Honscheid, K. Kuehn, L. F. Secco, L. N. da Costa, M. Aguena, M. A. Troxel, M. Carrasco Kind, M. Costanzi, M. E. C. Swanson, M. E. S. Pereira, M. Gatti, M. Jarvis, M. Lima, M. Paterno, M. Raveri, M. R. Becker, M. Smith, N. Kuropatkin, N. MacCrann, N. Weaverdyck, O. Alves, O. Friedrich, P. Doel, P.-F. Leget, R. A. Gruendl, R. Cawthon, R. Chen, R. H. Wechsler, R. L. C. Ogando, R. Miquel, R. P. Rollins, R. Rosenfeld, S. Bocquet, S. Dodelson, S. Everett, S. Pandey, S. R. Hinton, S. Samuroff, T. F. Eifler, T. N. Varga, T. Shin, V. Vikram, W. G. Hartley, X. Fang, Y. Zhang","submitted_at":"2024-08-01T21:23:52Z","abstract_excerpt":"Characterization of the redshift distribution of ensembles of galaxies is pivotal for large scale structure cosmological studies. In this work, we focus on improving the Self-Organizing Map (SOM) methodology for photometric redshift estimation (SOMPZ), specifically in anticipation of the Dark Energy Survey Year 6 (DES Y6) data. This data set, featuring deeper and fainter galaxies than DES Year 3 (DES Y3), demands adapted techniques to ensure accurate recovery of the underlying redshift distribution. We investigate three strategies for enhancing the existing SOM-based approach used in DES Y3: 1"},"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":"2408.00922","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2024-08-01T21:23:52Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"1ec4e8f466e46bc0ed73a0adf0408636b6c2af50fc54f6417c37709e7ec1b14f","abstract_canon_sha256":"e82f783a275baf2239bb4dc4e3f7792ceb0a6f76333a7edf7fb5f10d141485c5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:51:24.394138Z","signature_b64":"bXwl0DBV221AEs7bXfot1lMuebbIsxW7ec3/E54SlsjpR1jH6w60+0Bsgju0fB5TW8IZunT0U+67N++DwHYoCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ca30e11cf3576ca3d533110949bff44d9ca22a4390adba13568036a7ea268faa","last_reissued_at":"2026-07-05T08:51:24.393659Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:51:24.393659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Enhancing weak lensing redshift distribution characterization by optimizing the Dark Energy Survey Self-Organizing Map Photo-z method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"A. Alarcon, A. Amon, A. A. Plazas Malag\\'on, A. Campos, A. Carnero Rosell, A. Choi, A. Drlica-Wagner, A. Fert\\'e, A. J. Ross, A. Navarro-Alsina, A. Pieres, A. Porredon, A. Roodman, B. Flaugher, B. Yanny, B. Yin, C. Chang, C. Davis, C. Doux, C. S\\'anchez, C. To, D. Bacon, D. Brooks, D. Gruen, D. J. James, D. L. Burke, D. L. Hollowood, D. Sanchez Cid, E. Gaztanaga, E. Krause, E. M. Huff, E. Sanchez, E. Sheldon, E. S. Rykoff, E. Suchyta, F. Andrade-Oliveira, F. J. Castander, F. Menanteau, G. Giannini, G. Gutierrez, G. M. Bernstein, G. Tarle, H. Camacho, H. Huang, H. Lin, H. T. Diehl, I. Ferrero, I. Harrison, I. Sevilla-Noarbe, I. Tutusaus, J. Annis, J. Blazek, J. Carretero, J. Cordero, J. DeRose, J. De Vicente, J. Elvin-Poole, J. Frieman, J. Garc\\'ia-Bellido, J. L. Marshall, J. McCullough, J. Mena-Fern\\'andez, J. Myles, J. Prat, J. Sanchez, J. Zuntz, K. Bechtol, K. Eckert, K. Herner, K. Honscheid, K. Kuehn, L. F. Secco, L. N. da Costa, M. Aguena, M. A. Troxel, M. Carrasco Kind, M. Costanzi, M. E. C. Swanson, M. E. S. Pereira, M. Gatti, M. Jarvis, M. Lima, M. Paterno, M. Raveri, M. R. Becker, M. Smith, N. Kuropatkin, N. MacCrann, N. Weaverdyck, O. Alves, O. Friedrich, P. Doel, P.-F. Leget, R. A. Gruendl, R. Cawthon, R. Chen, R. H. Wechsler, R. L. C. Ogando, R. Miquel, R. P. Rollins, R. Rosenfeld, S. Bocquet, S. Dodelson, S. Everett, S. Pandey, S. R. Hinton, S. Samuroff, T. F. Eifler, T. N. Varga, T. Shin, V. Vikram, W. G. Hartley, X. Fang, Y. Zhang","submitted_at":"2024-08-01T21:23:52Z","abstract_excerpt":"Characterization of the redshift distribution of ensembles of galaxies is pivotal for large scale structure cosmological studies. In this work, we focus on improving the Self-Organizing Map (SOM) methodology for photometric redshift estimation (SOMPZ), specifically in anticipation of the Dark Energy Survey Year 6 (DES Y6) data. This data set, featuring deeper and fainter galaxies than DES Year 3 (DES Y3), demands adapted techniques to ensure accurate recovery of the underlying redshift distribution. We investigate three strategies for enhancing the existing SOM-based approach used in DES Y3: 1"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.00922","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2408.00922/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":"2408.00922","created_at":"2026-07-05T08:51:24.393719+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.00922v1","created_at":"2026-07-05T08:51:24.393719+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.00922","created_at":"2026-07-05T08:51:24.393719+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZIYOCHHTK5WK","created_at":"2026-07-05T08:51:24.393719+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZIYOCHHTK5WKHVJT","created_at":"2026-07-05T08:51:24.393719+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZIYOCHHT","created_at":"2026-07-05T08:51:24.393719+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2606.11305","citing_title":"Modeling the impact of filter-substrate refraction in the Roman point spread function","ref_index":66,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZIYOCHHTK5WKHVJTCEEUTP7UJW","json":"https://pith.science/pith/ZIYOCHHTK5WKHVJTCEEUTP7UJW.json","graph_json":"https://pith.science/api/pith-number/ZIYOCHHTK5WKHVJTCEEUTP7UJW/graph.json","events_json":"https://pith.science/api/pith-number/ZIYOCHHTK5WKHVJTCEEUTP7UJW/events.json","paper":"https://pith.science/paper/ZIYOCHHT"},"agent_actions":{"view_html":"https://pith.science/pith/ZIYOCHHTK5WKHVJTCEEUTP7UJW","download_json":"https://pith.science/pith/ZIYOCHHTK5WKHVJTCEEUTP7UJW.json","view_paper":"https://pith.science/paper/ZIYOCHHT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.00922&json=true","fetch_graph":"https://pith.science/api/pith-number/ZIYOCHHTK5WKHVJTCEEUTP7UJW/graph.json","fetch_events":"https://pith.science/api/pith-number/ZIYOCHHTK5WKHVJTCEEUTP7UJW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZIYOCHHTK5WKHVJTCEEUTP7UJW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZIYOCHHTK5WKHVJTCEEUTP7UJW/action/storage_attestation","attest_author":"https://pith.science/pith/ZIYOCHHTK5WKHVJTCEEUTP7UJW/action/author_attestation","sign_citation":"https://pith.science/pith/ZIYOCHHTK5WKHVJTCEEUTP7UJW/action/citation_signature","submit_replication":"https://pith.science/pith/ZIYOCHHTK5WKHVJTCEEUTP7UJW/action/replication_record"}},"created_at":"2026-07-05T08:51:24.393719+00:00","updated_at":"2026-07-05T08:51:24.393719+00:00"}