pith:MMMQ5WLJ
Precision Cell Resampling with a Relative and Resonant Aware Metric
A metric using relative transverse momenta and resonance sensitivity lets cell resampling cut negative weights while keeping resonance shapes intact.
arxiv:2605.13237 v1 · 2026-05-13 · hep-ph
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\pithnumber{MMMQ5WLJ57SJN5J7RPNLDIPGAP}
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Record completeness
Claims
With this new metric, negative weights in an event sample can be reduced substantially through cell resampling, while preserving the predicted properties of the resonance with high accuracy.
That the proposed metric, when used for cell resampling, does not introduce biases that distort the resonance properties or other observables beyond what is claimed, even though the metric definition itself involves specific choices for relative momenta and resonance sensitivity.
A resonance-sensitive metric using relative transverse momenta allows cell resampling to reduce negative weights in NLO W+2jets samples while preserving resonance predictions with high accuracy.
References
Receipt and verification
| First computed | 2026-05-18T02:44:49.536216Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
63190ed969efe496f53f8bdab1a1e603fdb01ff91a1dc789ada29bc16a31f046
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MMMQ5WLJ57SJN5J7RPNLDIPGAP \
| 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: 63190ed969efe496f53f8bdab1a1e603fdb01ff91a1dc789ada29bc16a31f046
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "hep-ph",
"submitted_at": "2026-05-13T09:25:15Z",
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