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High Energy Physics - Phenomenology · arXiv:hep-ph/0405057 v4 · submitted 6 May 2004

Neutralino dark matter in supergravity theories with non-universal scalar and gaugino masses

D.G. Cerdeno, C. Munoz

The paper says

“In particular, when combined with non-universal scalars, neutralinos close to the present detection limits are possible with a wide range of masses, from over 400 GeV to almost 10 GeV.”

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

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The paper

Abstract

We analyse the direct detection of neutralino dark matter in supergravity scenarios with non-universal soft scalar and gaugino masses. In particular, the neutralino-nucleon cross section is computed and compared with the sensitivity of detectors. We take into account the most recent experimental and astrophysical constraints on the parameter space, including those coming from charge and colour breaking minima. Gaugino non-universalities provide a larger flexibility in the neutralino sector. In particular, when combined with non-universal scalars, neutralinos close to the present detection limits are possible with a wide range of masses, from over 400 GeV to almost 10 GeV. We study the different possibilities which allow to increase or decrease the neutralino mass and explain the properties of those regions in the parameter space with a large cross section.

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: hedged possibility 0.94

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.13 · human participants 0.02 · controlled comparison 0.07 · randomized assignment 0.01 · states quantitative result 0.91 · compares with prior results 0.51 · mentions code or data availability 0.02

The abstract, sentence by sentence

This table labels the abstract only (arXiv listing abstract v4). The number is the probability the classifier gave the label.

SentenceRoleThe authors' own workStates the main conclusionStrength
We analyse the direct detection of neutralino dark matter in supergravity scenarios with non-universal soft scalar and gaugino masses. contribution 1.00 0.92 0.06 asserted 0.84
In particular, the neutralino-nucleon cross section is computed and compared with the sensitivity of detectors. method 0.74 0.91 0.06 asserted 0.99
We take into account the most recent experimental and astrophysical constraints on the parameter space, including those coming from charge and colour breaking minima. method 0.91 0.68 0.04 asserted 0.97
Gaugino non-universalities provide a larger flexibility in the neutralino sector. result 0.52 0.49 0.15 asserted 0.99
In particular, when combined with non-universal scalars, neutralinos close to the present detection limits are possible with a wide range of masses, from over 400 GeV to almost 10 GeV. result 0.99 0.80 0.56 hedged possibility 0.94
We study the different possibilities which allow to increase or decrease the neutralino mass and explain the properties of those regions in the parameter space with a large cross section. contribution 0.96 0.91 0.15 asserted 0.87

What kind of paper the classifier reports this is: theoretical result 0.60 · evidence from simulation or computation 0.94

What was examined, and what was not

Sources read

  • arXiv listing abstract v4

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-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,927 input tokens, $0.0002 reported.

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

Cited by 3 Pith papers
How the literature uses it

9 arXiv papers cite this in 12 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

Cites it as background 4 papers

Challenges and discussion

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