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A data-driven method of pile-up correction for the substructure of massive jets

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Raz Alon, Ehud Duchovni, Gilad Perez, Aliaksandr P. Pranko, Pekka K. Sinervo

High Energy Physics - Phenomenology · Submitted 15 Jan 2011

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We find these corrections to be in good agreement with data on massive jets observed by the CDF collaboration.

how it is stated · asserted 0.99 read the record →

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arXiv ID1101.3002 (version 2)
Pith IDUOCZWEEF, Pith's permanent record of this paper and its review
CitationAliaksandr P. Pranko, Ehud Duchovni, Gilad Perez, Pekka K. Sinervo, Raz Alon. "A data-driven method of pile-up correction for the substructure of massive jets." arXiv:1101.3002 (2011). https://pith.science/paper/UOCZWEEF
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,480 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.19 · human participants 0.01 · controlled comparison 0.09 · randomized assignment 0.01 · states quantitative result 0.06 · compares with prior results 0.61 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

We describe a method to measure and subtract the incoherent component of energy flow arising from multiple interactions from jet shape/substructure observables of ultra-massive jets. The amount subtracted is a function of the jet shape variable of interest and not a universal property. Such a correction is expected to significantly reduce any bias in the corresponding distributions generated by the presence of multiple interactions, and to improve measurement resolution. Since in our method the correction is obtained from the data, it is not subject to uncertainties coming from the use of theoretical calculations and/or Monte Carlo event generators. We derive our correction method for the jet mass, angularity and planar flow. We find these corrections to be in good agreement with data on massive jets observed by the CDF collaboration. Finally, we comment on the linkage with the concept of jet area and jet mass area.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We describe a method to measure and subtract the incoherent component of energy flow arising from multiple interactions from jet shape/substructure observables of ultra-massive jets. contribution 0.89 0.91 0.25 asserted 1.00
s1 The amount subtracted is a function of the jet shape variable of interest and not a universal property. result 0.38 0.54 0.18 asserted 1.00
s2 Such a correction is expected to significantly reduce any bias in the corresponding distributions generated by the presence of multiple interactions, and to improve measurement resolution. interpretation 0.93 0.12 0.29 hedged possibility 0.93
s3 Since in our method the correction is obtained from the data, it is not subject to uncertainties coming from the use of theoretical calculations and/or Monte Carlo event generators. interpretation 0.44 0.72 0.10 asserted 0.99
s4 We derive our correction method for the jet mass, angularity and planar flow. contribution 0.69 0.97 0.07 asserted 1.00
s5 We find these corrections to be in good agreement with data on massive jets observed by the CDF collaboration. result 1.00 0.93 0.21 asserted 0.99
s6 Finally, we comment on the linkage with the concept of jet area and jet mass area. interpretation 0.80 0.45 0.04 unclear 0.92

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from analysis of existing data 0.89.

What was examined, and what was not

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  • arXiv listing abstract v2
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

We describe a method to measure and subtract the incoherent component of energy flow arising from multiple interactions from jet shape/substructure observables of ultra-massive jets. The amount subtracted is a function of the jet shape variable of interest and not a universal property. Such a correction is expected to significantly reduce any bias in the corresponding distributions generated by the presence of multiple interactions, and to improve measurement resolution. Since in our method the correction is obtained from the data, it is not subject to uncertainties coming from the use of theoretical calculations and/or Monte Carlo event generators. We derive our correction method for the jet mass, angularity and planar flow. We find these corrections to be in good agreement with data on massive jets observed by the CDF collaboration. Finally, we comment on the linkage with the concept of jet area and jet mass area.

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References
How the literature uses it

16 arXiv papers cite this in 18 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 8 sentences without a confident label

Uses its method or tool 4 papers
Cites it as background 5 papers

What it cites · 29 sentences without a confident label

Uses data or values from 1 paper
  • We demonstrate our points explicitly using studies of the Midpoint and jet algorithms performed by the CDF collaboration [ref] (the Midpoint results are essentially identical to those obtained with the SISCone algorithm [ref] , as expected since the two algorithms use similar split and merge procedure).

    A practical Seedless Infrared-Safe Cone jet algorithm · Relation with jet areas · 0.80

Compares with 1 paper
  • This is in agreement with the CDF results for the Midpoint, [ref] or Midpoint/SC (Midpoint using search cones) jet algorithms [ref] .

    The anti-k_t jet clustering algorithm · Subtraction method for jet mass · 0.88

Cites as background 4 papers
  • The susceptibility of modern jet algorithms that are infra-red and collinear (IRC) safe to soft and weakly correlated contributions can be elegantly described by the concept of a jet area [ref] .

    Pileup subtraction using jet areas · Introduction · 0.89

  • The susceptibility of modern jet algorithms that are infra-red and collinear (IRC) safe to soft and weakly correlated contributions can be elegantly described by the concept of a jet area [ref] .

    Quantifying the performance of jet definitions for kinematic reconstruction at the LHC · Introduction · 0.89

  • The susceptibility of modern jet algorithms that are infra-red and collinear (IRC) safe to soft and weakly correlated contributions can be elegantly described by the concept of a jet area [ref] .

    Towards Jetography · Introduction · 0.89

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