pith:VOSUS6G4
Forward Modeling of Dust-Induced Stray Light in Ground-Based Coronagraphs: A Dual-Path Monitoring Approach for High-Precision Inner Corona Observations
Dual-path lens monitoring and forward modeling remove dust stray light to restore true inner corona signals in ground-based observations.
arxiv:2605.12979 v1 · 2026-05-13 · astro-ph.SR · astro-ph.IM
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Claims
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.
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.
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.
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| First computed | 2026-05-18T03:09:08.633786Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aba54978dcb462c273ca73566f06038c606298a70c11cd0dad8359f3be601147
Aliases
· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/VOSUS6G4WRRME46KONLG6BQDRR \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: aba54978dcb462c273ca73566f06038c606298a70c11cd0dad8359f3be601147
Canonical record JSON
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