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Measuring Supersymmetry with Heavy Scalars

High Energy Physics - Phenomenology · Submitted 2 Nov 2010

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

The authors' main claim Provided we observe a sizeable number of events the LHC should be able to determine many model parameters with small enough error bars to for example test unification patterns.

how it is stated · hedged possibility 0.97 read the record →

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arXiv ID1011.0759 (version 1)
Pith IDSPV6S5GC, Pith's permanent record of this paper and its review
CitationDirk Zerwas, Emmanuel Turlay, Michael Rauch, Remi Lafaye, Tilman Plehn. "Measuring Supersymmetry with Heavy Scalars." arXiv:1011.0759 (2010). https://pith.science/paper/SPV6S5GC
Claim paper

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.

Open the compiled record

Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 2,942 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.59 · human participants 0.01 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.07 · compares with prior results 0.09 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Supersymmetry with heavy scalars is a model where at the LHC we have to rely on rate measurements to determine the parameters of the underlying new physics. For this example we show how to properly combine rate measurements with kinematic endpoints, taking into account statistical, systematic and theory uncertainties. Provided we observe a sizeable number of events the LHC should be able to determine many model parameters with small enough error bars to for example test unification patterns.

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 Supersymmetry with heavy scalars is a model where at the LHC we have to rely on rate measurements to determine the parameters of the underlying new physics. background 1.00 0.07 0.10 asserted 1.00
s1 For this example we show how to properly combine rate measurements with kinematic endpoints, taking into account statistical, systematic and theory uncertainties. method 0.64 0.72 0.12 asserted 0.99
s2 Provided we observe a sizeable number of events the LHC should be able to determine many model parameters with small enough error bars to for example test unification patterns. interpretation 0.73 0.14 0.67 hedged possibility 0.97

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from argument 0.70.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
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

Supersymmetry with heavy scalars is a model where at the LHC we have to rely on rate measurements to determine the parameters of the underlying new physics. For this example we show how to properly combine rate measurements with kinematic endpoints, taking into account statistical, systematic and theory uncertainties. Provided we observe a sizeable number of events the LHC should be able to determine many model parameters with small enough error bars to for example test unification patterns.

Human review
References
How the literature uses it

3 arXiv papers cite this in 3 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 · 2 sentences without a confident label

Cites it as background 1 paper

What it cites · 51 sentences without a confident label

Uses the method or tool of 16 papers
  • Like in all SFitter analyses [ref] we follow the Rfit scheme [ref] to combine Gaussian experimental and flat theory errors.

    A New Approach to a Global Fit of the CKM Matrix · Error treatment · 1.00

  • Like in all SFitter analyses [ref] we follow the Rfit scheme [ref] to combine Gaussian experimental and flat theory errors.

    Measuring the Higgs Sector · Error treatment · 1.00

  • Like in all SFitter analyses [ref] we follow the Rfit scheme [ref] to combine Gaussian experimental and flat theory errors.

    Measuring Supersymmetry · Error treatment · 1.00

Uses data or values from 3 papers
Compares with 1 paper
Cites as support 2 papers

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