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High Energy Physics - Phenomenology · arXiv:1509.03613 v1 · submitted 11 Sep 2015

New probes for bino dark matter with coannihilation at the LHC

Hidetoshi Otono

The paper says

“We show that searches performed at the LHC for long-lived particles with displaced vertices offer a powerful method to test this scenario.”

from the abstract · picked out as the main claim by a classifier

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The paper

Abstract

It has been widely known that bino-like dark matter in supersymmetric theories suffers from over-production. The situation can be improved if the gluino or wino has a mass of O(10) GeV heavier than the bino, sufficiently reducing the bino abundance through co-annihilation. In this scenario, the gluino decays to the bino via squark exchange, and the wino decays to the bino via higgsino exchange. In split SUSY models favoured after the Higgs discovery, the intermediate particles in these decays would be much heavier than gauginos, suppressing the decay of the gluino and wino. This, in addition to the small mass differences, results in long lifetimes for the gluino and wino. We show that searches performed at the LHC for long-lived particles with displaced vertices offer a powerful method to test this scenario.

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. No sentence in this record was written by a model.

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

How the main claim is stated: asserted 1.00

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.09 · human participants 0.02 · controlled comparison 0.03 · randomized assignment 0.01 · states quantitative result 0.28 · compares with prior results 0.20 · mentions code or data availability 0.02

The abstract, sentence by sentence

This table labels the abstract only (arXiv listing abstract v1). The number is the probability the classifier gave the label.

SentenceRoleThe authors' own workStates the main conclusionStrength
It has been widely known that bino-like dark matter in supersymmetric theories suffers from over-production. background 1.00 0.03 0.02 asserted 1.00
The situation can be improved if the gluino or wino has a mass of O(10) GeV heavier than the bino, sufficiently reducing the bino abundance through co-annihilation. background 1.00 0.07 0.05 hedged possibility 0.77
In this scenario, the gluino decays to the bino via squark exchange, and the wino decays to the bino via higgsino exchange. background 0.99 0.06 0.03 asserted 1.00
In split SUSY models favoured after the Higgs discovery, the intermediate particles in these decays would be much heavier than gauginos, suppressing the decay of the gluino and wino. background 0.94 0.07 0.03 asserted 0.90
This, in addition to the small mass differences, results in long lifetimes for the gluino and wino. background 0.40 0.19 0.05 asserted 1.00
We show that searches performed at the LHC for long-lived particles with displaced vertices offer a powerful method to test this scenario. contribution 0.93 0.83 0.89 asserted 1.00

What kind of paper the classifier reports this is: method or tool 0.56 · evidence from argument 0.91

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

How the labels were made

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,930 input tokens.

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. This record as JSON

How the literature uses it

1 arXiv paper cite this in 1 sentence

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 whose main result relates to this one's

Found among the papers closest to this one by title and main claim. Pith's classifier compared each pair's main results and a second model family confirmed the relation; checked against two further families, shown conflicts agreed 118 times in 120 and shown same results 218 times in 239. The quoted sentence is the other paper's main claim.

States the same result 1 paper

What it cites · 11 sentences without a confident label

Uses the method or tool of 6 papers

Challenges and discussion

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