On $τ$ Spin Use with KKMCee

Spin of $τ$ represents an interesting phenomenology data point in both its production from $e^+ e^-$ collision and its subsequent decay. In precision applications such as Belle-II or FCC, where precision tagging is comparable or better than $0.1 \%$ Monte Carlo applications are usually necessary. \texttt{KKMCee}, the precision Monte Carlo program, is assuring such high precision in a broad energy range. But so far, spin effects were not easy to grasp. We introduce into \texttt{KKMCee}, \texttt{HepMC3} format output, new entries, $τ$ helicity-like information (with weights to evaluate approximation), and $τ$ polarimetric vectors to enable weight calculations to introduce hard interaction additional couplings. The physics details of the introduced implementations are presented, as well as examples of applications and ambiguities evaluation. The most recent updates and the useful codes of our work is provided at \href{https://th.ifj.edu.pl/kkmc-demos/}{https://th.ifj.edu.pl/kkmc-demos/index.html}.

Publication Details

Journal
ArXiv.org
Published
2025-09-04
Primary Topic
Geochemistry and Geologic Mapping
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article

On $τ$ Spin Use with KKMCee

ArXiv.org
Geochemistry and Geologic Mapping
article

On $τ$ Spin Use with KKMCee

article en

Abstract

Spin of $τ$ represents an interesting phenomenology data point in both its production from $e^+ e^-$ collision and its subsequent decay. In precision applications such as Belle-II or FCC, where precision tagging is comparable or better than $0.1 \%$ Monte Carlo applications are usually necessary. \texttt{KKMCee}, the precision Monte Carlo program, is assuring such high precision in a broad energy range. But so far, spin effects were not easy to grasp. We introduce into \texttt{KKMCee}, \texttt{HepMC3} format output, new entries, $τ$ helicity-like information (with weights to evaluate approximation), and $τ$ polarimetric vectors to enable weight calculations to introduce hard interaction additional couplings. The physics details of the introduced implementations are presented, as well as examples of applications and ambiguities evaluation. The most recent updates and the useful codes of our work is provided at \href{https://th.ifj.edu.pl/kkmc-demos/}{https://th.ifj.edu.pl/kkmc-demos/index.html}.

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