Improving target neutron momentum reconstruction using <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>MINER</mml:mi><mml:mi>ν</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:math> <mml:math xmlns:mml="http://ww

With the neutrino experiments advancing toward high-precision measurements and greater emphasis on reducing systematic uncertainties, improving the single-pion production models, a major component of the hadronic activity observed in the neutrino oscillation experiments, into the Monte Carlo simulations is crucial. This work presents the predictions of the struck nucleon’s Fermi motion by analyzing the charged-current neutral pion production on carbon nucleus in <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mi>MINER</a:mi><a:mi>ν</a:mi><a:mi mathvariant="normal">A</a:mi></a:math>. A minimal variation of and uro based on their default models shows an improvement in the prediction of single <d:math xmlns:d="http://www.w3.org/1998/Math/MathML" display="inline"><d:msup><d:mi>π</d:mi><d:mn>0</d:mn></d:msup></d:math> production. The prediction describes the data more accurately in the higher-momentum tail; however, discrepancies between the predictions and data below the Fermi peak highlight the limitations in current nuclear models used in the Monte Carlo generators.

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Publication Details

Journal
Physical review. D/Physical review. D.
Published
2025-05-07
DOI
https://doi.org/10.1103/physrevd.111.093002
Citations
4
Primary Topic
Particle physics theoretical and experimental studies
Type
article
Field-Weighted Citation Impact
7.48

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article

Improving target neutron momentum reconstruction using <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>MINER</mml:mi><mml:mi>ν</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:math> <mml:math xmlns:mml="http://ww

R. K. Pradhan, A. Giri, Lalnuntluanga Ralte
4 citations
Physical review. D/Physical review. D.
Particle physics theoretical and experimental studies
7.48
article

Improving target neutron momentum reconstruction using <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>MINER</mml:mi><mml:mi>ν</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:math> <mml:math xmlns:mml="http://ww

R. K. Pradhan, A. Giri, Lalnuntluanga Ralte
article en
4 citations

Abstract

With the neutrino experiments advancing toward high-precision measurements and greater emphasis on reducing systematic uncertainties, improving the single-pion production models, a major component of the hadronic activity observed in the neutrino oscillation experiments, into the Monte Carlo simulations is crucial. This work presents the predictions of the struck nucleon’s Fermi motion by analyzing the charged-current neutral pion production on carbon nucleus in <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mi>MINER</a:mi><a:mi>ν</a:mi><a:mi mathvariant="normal">A</a:mi></a:math>. A minimal variation of and uro based on their default models shows an improvement in the prediction of single <d:math xmlns:d="http://www.w3.org/1998/Math/MathML" display="inline"><d:msup><d:mi>π</d:mi><d:mn>0</d:mn></d:msup></d:math> production. The prediction describes the data more accurately in the higher-momentum tail; however, discrepancies between the predictions and data below the Fermi peak highlight the limitations in current nuclear models used in the Monte Carlo generators.

Physical review. D/Physical review. D.Vol. 111(9)
Tel Aviv University (IL), Indian Institute of Technology Hyderabad (IN)
Department of Science and Technology, Ministry of Science and Technology, India
Openalex Percentile: Top 4%
Particle physics theoretical and experimental studies
7.48
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Improving target neutron momentum reconstruction using <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>MINER</mml:mi><mml:mi>ν</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:math> <mml:math xmlns:mml="http://ww — R. K. Pradhan, A. Giri, et al. · Physical review. D/Physical review. D. (2025) | TGRS Research Map | TGRS