English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The GPU-accelerated track finding method is investigated to track electronsfrom neutrinoless muon decay in the COMET Phase-I experiment. Inside thecylindrical drift chamber, one third of the signal electron trajectories arecomposed of multiple turns where the correct hit assignments to each turnpartition are significant in the track finding. Scanning all possible trackseeds of position and momentum can resolve the hit-to-turn assignment problemwith a high robustness, but requires a huge computational cost: The initialtrack seeds $(\theta,z,p_x,p_y,p_z)$ have broad uncertainties, so there existsmany number of seeds that should be compared. In this article, this problem ofmassive computations are mitigated with 1) the parallel computing ofRunge-Kutta-Nystr\"om track propagation with the GPU, and 2) an initial guesson the seeds using the Hough transform and the detector geometry. Thecomputation speed enhancement compared to the CPU is also presented.

GPU Tracking in the COMET Phase-I Cylindrical Drift Chamber