{"paper":{"title":"Forward Modeling of Dust-Induced Stray Light in Ground-Based Coronagraphs: A Dual-Path Monitoring Approach for High-Precision Inner Corona Observations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"Dual-path lens monitoring and forward modeling remove dust stray light to restore true inner corona signals in ground-based observations.","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.SR","authors_text":"Feiyang Sha, Jun Fang, Mingyu Zhao, Mingzhe Sun, Tengfei Song, Xiande Liu, Xuefei Zhang, Yu Liu","submitted_at":"2026-05-13T04:16:51Z","abstract_excerpt":"High-precision ground-based observations of the inner corona (1.05-2.0 R_sun) are fundamentally constrained by instrumental stray light, particularly the additive background from dynamic dust accumulation on the objective lens. To address this issue, we propose a correction method for the Spectral Imaging Coronagraph (SICG) based on dual-path real-time monitoring and forward physical modeling. By simultaneously imaging the objective lens surface, we obtain deterministic prior information on dust distribution. We construct a physical point-spread function using optical defocus parameters and re"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"After correction, the rms noise in the polar background is reduced by approximately 67% on average, and the signal-to-background ratio improves by a factor of up to 3.7 under heavy contamination conditions. The corrected radial intensity profiles restore the hydrostatic exponential decay corresponding to a plasma temperature of approximately 2.0 MK.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the polar coronal holes provide an independent, uniform constraint sufficient to uniquely determine the dust-scattering model parameters without introducing bias into the corrected streamer structures.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"A forward-modeling correction using real-time lens imaging reduces dust stray-light noise by 67% and restores expected coronal intensity profiles in ground-based data.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Dual-path lens monitoring and forward modeling remove dust stray light to restore true inner corona signals in ground-based observations.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"0ea873e2a248fcfbccaca4789ad71b3ee9c159fee718708d99c5bdc5d27509a8"},"source":{"id":"2605.12979","kind":"arxiv","version":1},"verdict":{"id":"7e0a6d59-4e8f-401c-ad52-a2bedebb5e5f","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-14T18:58:20.856833Z","strongest_claim":"After correction, the rms noise in the polar background is reduced by approximately 67% on average, and the signal-to-background ratio improves by a factor of up to 3.7 under heavy contamination conditions. The corrected radial intensity profiles restore the hydrostatic exponential decay corresponding to a plasma temperature of approximately 2.0 MK.","one_line_summary":"A forward-modeling correction using real-time lens imaging reduces dust stray-light noise by 67% and restores expected coronal intensity profiles in ground-based data.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the polar coronal holes provide an independent, uniform constraint sufficient to uniquely determine the dust-scattering model parameters without introducing bias into the corrected streamer structures.","pith_extraction_headline":"Dual-path lens monitoring and forward modeling remove dust stray light to restore true inner corona signals in ground-based observations."},"references":{"count":32,"sample":[{"doi":"","year":2005,"title":"Aschwanden, M. J. 2005, Physics of the Solar Corona: An Introduction with Problems and Solutions (Chichester, UK: Praxis Publishing Ltd)","work_id":"5a28e92a-089f-4881-abf9-29b626a1888e","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"10.1093/mnras/stad583","year":2023,"title":"2023, MNRAS, 521, 1479, doi: 10.1093/mnras/stad583 de Wijn, A","work_id":"51e526cb-e1a3-4d12-858f-412f2efdc8fc","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"10.1088/0004-637x/700/1/376","year":2009,"title":"DeForest, C. E., Reynolds, C. E., Viall, N. M., & Vourlidas, A. 2009, ApJ, 700, 376, doi: 10.1088/0004-637X/700/1/376","work_id":"b1423ab3-d2a0-425d-8485-4c2e183f1fdc","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"10.1117/12.389366","year":2000,"title":"Elmore, D. F. 2000, Proc. SPIE, 4015, 467, doi: 10.1117/12.389366","work_id":"bc31fdfd-7fc7-4404-93aa-1a03b4a6ebf1","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"10.1117/12.166085","year":1993,"title":"Fineschi, S., Romoli, M., Hoover, R. B., et al. 1993, Proc. SPIE, 2010, 78, doi: 10.1117/12.166085","work_id":"6d74d0e4-b493-42bc-a2c8-10782cc198a3","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":32,"snapshot_sha256":"19c971cae75d072f327c2f765c9591b537cc2585b3cc393c81f8a05094d197a2","internal_anchors":0},"formal_canon":{"evidence_count":2,"snapshot_sha256":"96f02bf35953be5ced0a7b7638f2dacaa68db673c3a332574fc65e5052559269"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}