pith:LM6F2DTU
The High W Challenge: Robust Neutrino Energy Estimators for LArTPCs
A new W²-based neutrino energy estimator using hadronic invariant mass shows the smallest bias and greatest stability against mismodelling in LArTPCs.
arxiv:2511.11149 v3 · 2025-11-14 · physics.data-an · hep-ex
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\pithnumber{LM6F2DTUSLH7VJKVS3GOJVMTLK}
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Record completeness
Claims
We find that the W²-based estimator shows the smallest bias as a function of true neutrino energy and it is particularly stable against the mismodelling of lepton scattering angle and momentum, missing energy, hadronic invariant mass and final state interactions.
That the toy long-baseline oscillation analysis and the assumed mismodelling scenarios sufficiently capture the dominant uncertainties present in real LArTPC data taking and reconstruction.
The W²-based estimator shows the smallest bias versus true neutrino energy and greater stability to mismodelling of scattering and interactions than four common alternatives in LArTPC experiments.
Formal links
Receipt and verification
| First computed | 2026-06-03T01:05:46.356787Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b3c5d0e7492cffaa55596cce4d5935a9c27093167f24fd37ae299fdead969a3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LM6F2DTUSLH7VJKVS3GOJVMTLK \
| 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: 5b3c5d0e7492cffaa55596cce4d5935a9c27093167f24fd37ae299fdead969a3
Canonical record JSON
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