KinFit -- A Kinematic Fitting Package for Hadron Physics Experiments

Fuente: arXiv
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Hauptverfasser: Esmail, Waleed, Rieger, Jana, Taylor, Jenny, Bohman, Malin, Schönning, Karin
Format: Preprint
Veröffentlicht: 2023
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author Esmail, Waleed
Rieger, Jana
Taylor, Jenny
Bohman, Malin
Schönning, Karin
author_facet Esmail, Waleed
Rieger, Jana
Taylor, Jenny
Bohman, Malin
Schönning, Karin
contents A kinematic fitting package, KinFit, based on the Lagrange multiplier technique has been implemented for generic hadron physics experiments. It is particularly suitable for experiments where the interaction point is unknown, such as experiments with extended target volumes. The KinFit package includes vertex finding tools and fitting with kinematic constraints, such as mass hypothesis and four-momentum conservation, as well as combinations of these constraints. The new package is distributed as an open source software via GitHub. This paper presents a comprehensive description of the KinFit package and its features, as well as a benchmark study using Monte Carlo simulations of the $pp\rightarrow pK^+Λ\rightarrow pK^+pπ^-$ reaction. The results show that KinFit improves the parameter resolution and provides an excellent basis for event selection.
format Preprint
id arxiv_https___arxiv_org_abs_2308_09575
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle KinFit -- A Kinematic Fitting Package for Hadron Physics Experiments
Esmail, Waleed
Rieger, Jana
Taylor, Jenny
Bohman, Malin
Schönning, Karin
Data Analysis, Statistics and Probability
Nuclear Experiment
A kinematic fitting package, KinFit, based on the Lagrange multiplier technique has been implemented for generic hadron physics experiments. It is particularly suitable for experiments where the interaction point is unknown, such as experiments with extended target volumes. The KinFit package includes vertex finding tools and fitting with kinematic constraints, such as mass hypothesis and four-momentum conservation, as well as combinations of these constraints. The new package is distributed as an open source software via GitHub. This paper presents a comprehensive description of the KinFit package and its features, as well as a benchmark study using Monte Carlo simulations of the $pp\rightarrow pK^+Λ\rightarrow pK^+pπ^-$ reaction. The results show that KinFit improves the parameter resolution and provides an excellent basis for event selection.
title KinFit -- A Kinematic Fitting Package for Hadron Physics Experiments
topic Data Analysis, Statistics and Probability
Nuclear Experiment
url https://arxiv.org/abs/2308.09575