<p>Reconstructing the trajectories of charged particles in high-energy physics experiments is a complex task, particularly for long-lived particles. At the future Super Tau-Charm Facility (STCF), such particles are expected to appear in several key benchmark physics processes. A Common Tracking Software was used to reconstruct the trajectories of long-lived particles, revealing that the track-finding performance of the widely used combinatorial Kalman filter is limited by its seeding algorithm. This limitation can be mitigated by guiding the combinatorial Kalman filter using initial tracks provided by the Hough transform. The track-finding performance of the combined Hough transform and combinatorial Kalman filter was evaluated using the process <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41365_2025_1760_Article_IEq1.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="206" /> </InlineMediaObject> <EquationSource Format="TEX">$J/\psi \rightarrow \Lambda (\rightarrow p\pi ^{-})\bar{\Lambda } (\rightarrow \bar{p}\pi ^{+})$</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>J</mi> <mo stretchy="false">/</mo> <mi>ψ</mi> <mo stretchy="false">→</mo> <mi mathvariant="normal">Λ</mi> <mrow> <mo stretchy="false">(</mo> <mo stretchy="false">→</mo> <mi>p</mi> <msup> <mi>π</mi> <mo>-</mo> </msup> <mo stretchy="false">)</mo> </mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">Λ</mi> </mrow> <mrow> <mo stretchy="false">¯</mo> </mrow> </mover> <mrow> <mo stretchy="false">(</mo> <mo stretchy="false">→</mo> <mover accent="true"> <mrow> <mi>p</mi> </mrow> <mrow> <mo stretchy="false">¯</mo> </mrow> </mover> <msup> <mi>π</mi> <mo>+</mo> </msup> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> at STCF.</p>

Studies of track finding for long-lived particles at the Super Tau-Charm Facility

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发表日期：

2025年7月1日

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Hao Li,
Hang Zhou,
Jin Zhang,
Xing-Tao Huang,
Jie Yang,
Xiao-Cong Ai

摘要

Reconstructing the trajectories of charged particles in high-energy physics experiments is a complex task, particularly for long-lived particles. At the future Super Tau-Charm Facility (STCF), such particles are expected to appear in several key benchmark physics processes. A Common Tracking Software was used to reconstruct the trajectories of long-lived particles, revealing that the track-finding performance of the widely used combinatorial Kalman filter is limited by its seeding algorithm. This limitation can be mitigated by guiding the combinatorial Kalman filter using initial tracks provided by the Hough transform. The track-finding performance of the combined Hough transform and combinatorial Kalman filter was evaluated using the process $J/\psi \rightarrow \Lambda (\rightarrow p\pi ^{-})\bar{\Lambda } (\rightarrow \bar{p}\pi ^{+})$ $J / ψ \to Λ (\to p π^{-}) \bar{Λ} (\to \bar{p} π^{+})$ at STCF.