Statistical treatment of detection cross-section uncertainties in the analysis of solar neutrino data

C. Giunti; M.V. Garzelli

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Statistical treatment of detection cross-section uncertainties in the analysis of solar neutrino data

M.V. Garzelli, C. Giunti

High Energy Physics - Phenomenology · Submitted 2 Jun 2000

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

The authors' main claim We show that the resulting allowed regions for the neutrino oscillation parameters are significantly larger than the ones obtained with uncorrelated uncertainties.

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arXiv IDhep-ph/0006026 (version 2)

Pith IDESVPSOJZ, Pith's permanent record of this paper and its review

CitationC. Giunti, M.V. Garzelli. "Statistical treatment of detection cross-section uncertainties in the analysis of solar neutrino data." arXiv:hep-ph/0006026 (2000). https://pith.science/paper/ESVPSOJZ

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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, 2,919 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.12 · human participants 0.02 · controlled comparison 0.46 · randomized assignment 0.01 · states quantitative result 0.09 · compares with prior results 0.94 · mentions code or data availability 0.02.

The abstract, sentence by sentence

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

We propose a modification to the standard statistical treatment of the detection cross-section uncertainties in the analysis of solar neutrino data. We argue that the uncertainties of the energy-averaged cross sections of the different neutrino fluxes in the same experiment should be treated as correlated. We show that the resulting allowed regions for the neutrino oscillation parameters are significantly larger than the ones obtained with uncorrelated uncertainties.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	We propose a modification to the standard statistical treatment of the detection cross-section uncertainties in the analysis of solar neutrino data.	contribution 1.00	0.74	0.06	asserted 0.86
s1	We argue that the uncertainties of the energy-averaged cross sections of the different neutrino fluxes in the same experiment should be treated as correlated.	contribution 0.60	0.32	0.16	asserted 0.88
s2	We show that the resulting allowed regions for the neutrino oscillation parameters are significantly larger than the ones obtained with uncorrelated uncertainties.	result 1.00	0.94	0.80	asserted 1.00

What kind of paper the classifier reports this is: method or tool 0.95 · evidence from analysis of existing data 0.68.

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arXiv listing abstract v2

not examined

full text
figures and tables
references and citing sentences
relations to other papers

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P abstract

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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 propose a modification to the standard statistical treatment of the detection cross-section uncertainties in the analysis of solar neutrino data. We argue that the uncertainties of the energy-averaged cross sections of the different neutrino fluxes in the same experiment should be treated as correlated. We show that the resulting allowed regions for the neutrino oscillation parameters are significantly larger than the ones obtained with uncorrelated uncertainties.

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2 arXiv papers cite this in 2 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 · 1 sentence without a confident label

Uses its method or tool 1 paper

The covariance error matrix $V_S$ takes into account the correlations of theoretical uncertainties, according to the discussions in Refs. [ref] .

Bayesian Constraints on theta_{13} from Solar and KamLAND Neutrino Data · $χ^2$ Analysis · 0.83

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