1 / 7

Comparison of DAQ and TCL Cluster Finders in Track Detection Analysis

This comparison investigates the performance differences between DAQ and TCL cluster finders in track detection analysis, highlighting aspects such as the number of primary and global tracks, RMS distance, track splitting, peak quality for long tracks, and the influence of tracking cuts. The analysis reveals key differences in track detection and quality between the two methods.

riley-rhodes
Download Presentation

Comparison of DAQ and TCL Cluster Finders in Track Detection Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Comparison between DAQ / TCL cluster finders…

  2. DAQ cluster finder gets… • More events with large number of primary tracks • Fewer events with large number of global tracks

  3. DAQ Cluster finder gets… • Smaller RMS distance from global track to hits • More short tracks (more track splitting) • Better peak for long tracks Why? Consistent with wide distribution of tracking cuts in tcl

  4. 2-Hit Resolution (Fabrice Retiere)

  5. Track Splitting (Mercedes Noriega)

  6. Track Merging (Mercedes Noriega)

  7. Correlation Functions (Mercedes Noriega) 3D correlation functions:

More Related