pith:ABEWWNZQ
Constraining FRB Microstructure with Polarised Shot Noise
A shot-noise model of fast radio bursts as many microshots with random polarizations accounts for observed differences in polarization variability across the burst profile.
arxiv:2601.19254 v2 · 2026-01-27 · astro-ph.HE
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\pithnumber{ABEWWNZQUR3LGWRTK6IA2CNEUA}
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Record completeness
Claims
FIRES can reproduce key spectro-polarimetric behaviours seen in these data: scattering suppresses PA variability on the trailing edge, while the leading edge preferentially retains intrinsic structure when sufficient signal-to-noise is present.
That FRB dynamic spectra are well described as the incoherent superposition of Gaussian microshots whose polarization angles are drawn from a distribution whose form and parameters are independent of the emission mechanism.
FIRES models FRBs as incoherent superpositions of Gaussian microshots with varying polarization angles and uses this to reproduce observed PA variability and linear fraction in two CRAFT bursts while mapping allowed regions of microshot number, PA dispersion, and intrinsic polarization.
Formal links
Receipt and verification
| First computed | 2026-05-17T23:39:00.158839Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
00496b3730a476b35a3357900d09a4a033dd646ef32b2558a6960b255f966a33
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ABEWWNZQUR3LGWRTK6IA2CNEUA \
| 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: 00496b3730a476b35a3357900d09a4a033dd646ef32b2558a6960b255f966a33
Canonical record JSON
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"primary_cat": "astro-ph.HE",
"submitted_at": "2026-01-27T06:36:18Z",
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