{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:AMN2YW5WH55GWCFQ232L3QBAXY","short_pith_number":"pith:AMN2YW5W","schema_version":"1.0","canonical_sha256":"031bac5bb63f7a6b08b0d6f4bdc020be103edb3580d4a7803c17c8b81c52853a","source":{"kind":"arxiv","id":"2410.14873","version":1},"attestation_state":"computed","paper":{"title":"BEACON -- Automated Aberration Correction for Scanning Transmission Electron Microscopy using Bayesian Optimization","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["physics.ins-det"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Alexander J. Pattison, Colin Ophus, Earl Kirkland, Georgios Varnavides, Jungwon Park, Kunwoo Park, Marcus M. Noack, Peter Ercius, Stephanie M. Ribet","submitted_at":"2024-10-18T21:40:41Z","abstract_excerpt":"Aberration correction is an important aspect of modern high-resolution scanning transmission electron microscopy. Most methods of aligning aberration correctors require specialized sample regions and are unsuitable for fine-tuning aberrations without interrupting on-going experiments. Here, we present an automated method of correcting first- and second-order aberrations called BEACON which uses Bayesian optimization of the normalized image variance to efficiently determine the optimal corrector settings. We demonstrate its use on gold nanoparticles and a hafnium dioxide thin film showing its v"},"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":"2410.14873","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-10-18T21:40:41Z","cross_cats_sorted":["physics.ins-det"],"title_canon_sha256":"ff19d4c3040c503b487848cc6141683ae66dc1ef6ebd061685c53d1eb1e01fd4","abstract_canon_sha256":"9db1817eb0d68bf68a48b90640c7213390365b0d21a0de68ba15be721c404ad3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:22:45.825040Z","signature_b64":"CCQXlHqr92VUJbDMkGEbKDlmmlRkEHMdMS1ghhZ/JvbleCK+xTcBJS67aVBBdItLOilkqr/HLc7WlYk1ksZZAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"031bac5bb63f7a6b08b0d6f4bdc020be103edb3580d4a7803c17c8b81c52853a","last_reissued_at":"2026-07-05T09:22:45.824574Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:22:45.824574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"BEACON -- Automated Aberration Correction for Scanning Transmission Electron Microscopy using Bayesian Optimization","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["physics.ins-det"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Alexander J. Pattison, Colin Ophus, Earl Kirkland, Georgios Varnavides, Jungwon Park, Kunwoo Park, Marcus M. Noack, Peter Ercius, Stephanie M. Ribet","submitted_at":"2024-10-18T21:40:41Z","abstract_excerpt":"Aberration correction is an important aspect of modern high-resolution scanning transmission electron microscopy. Most methods of aligning aberration correctors require specialized sample regions and are unsuitable for fine-tuning aberrations without interrupting on-going experiments. Here, we present an automated method of correcting first- and second-order aberrations called BEACON which uses Bayesian optimization of the normalized image variance to efficiently determine the optimal corrector settings. We demonstrate its use on gold nanoparticles and a hafnium dioxide thin film showing its v"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14873","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/2410.14873/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":"2410.14873","created_at":"2026-07-05T09:22:45.824631+00:00"},{"alias_kind":"arxiv_version","alias_value":"2410.14873v1","created_at":"2026-07-05T09:22:45.824631+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14873","created_at":"2026-07-05T09:22:45.824631+00:00"},{"alias_kind":"pith_short_12","alias_value":"AMN2YW5WH55G","created_at":"2026-07-05T09:22:45.824631+00:00"},{"alias_kind":"pith_short_16","alias_value":"AMN2YW5WH55GWCFQ","created_at":"2026-07-05T09:22:45.824631+00:00"},{"alias_kind":"pith_short_8","alias_value":"AMN2YW5W","created_at":"2026-07-05T09:22:45.824631+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2412.20356","citing_title":"Emittance Minimization for Aberration Correction II: Physics-informed Bayesian Optimization of an Electron Microscope","ref_index":7,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/AMN2YW5WH55GWCFQ232L3QBAXY","json":"https://pith.science/pith/AMN2YW5WH55GWCFQ232L3QBAXY.json","graph_json":"https://pith.science/api/pith-number/AMN2YW5WH55GWCFQ232L3QBAXY/graph.json","events_json":"https://pith.science/api/pith-number/AMN2YW5WH55GWCFQ232L3QBAXY/events.json","paper":"https://pith.science/paper/AMN2YW5W"},"agent_actions":{"view_html":"https://pith.science/pith/AMN2YW5WH55GWCFQ232L3QBAXY","download_json":"https://pith.science/pith/AMN2YW5WH55GWCFQ232L3QBAXY.json","view_paper":"https://pith.science/paper/AMN2YW5W","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2410.14873&json=true","fetch_graph":"https://pith.science/api/pith-number/AMN2YW5WH55GWCFQ232L3QBAXY/graph.json","fetch_events":"https://pith.science/api/pith-number/AMN2YW5WH55GWCFQ232L3QBAXY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AMN2YW5WH55GWCFQ232L3QBAXY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AMN2YW5WH55GWCFQ232L3QBAXY/action/storage_attestation","attest_author":"https://pith.science/pith/AMN2YW5WH55GWCFQ232L3QBAXY/action/author_attestation","sign_citation":"https://pith.science/pith/AMN2YW5WH55GWCFQ232L3QBAXY/action/citation_signature","submit_replication":"https://pith.science/pith/AMN2YW5WH55GWCFQ232L3QBAXY/action/replication_record"}},"created_at":"2026-07-05T09:22:45.824631+00:00","updated_at":"2026-07-05T09:22:45.824631+00:00"}