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Feature #1983

Track finding and noise rejection upgrade

Added by Hunt, Christopher almost 5 years ago. Updated almost 5 years ago.

Status:
Open
Priority:
High
Assignee:
Hunt, Christopher
Start date:
13 October 2018
Due date:
% Done:

0%

Estimated time:

Description

Two main goals:
- Implement and test a updated version of pattern recognition with discriminates based on spacepoint NPE only, rather than complicated track finding algorithms
This assumes a cluster or digit level noise rejection has been implemented

- Implement and compare an NPE based noise cut versus an ADC based noise cut to support the new PR algorithm and improve efficiency.

A rough split of work, Durga is looking at the NPE based noise rejected and I have been looking at the ADC based noise rejected. We can keep track of analysis scripts and data in this ticket.

Files

efficiency_analysis.py (15.5 KB) efficiency_analysis.py Data-driven efficiency analysis Hunt, Christopher, 05 November 2018 17:34
tracker_purity_analysis.py (25.7 KB) tracker_purity_analysis.py MC-driven purity analysis Hunt, Christopher, 05 November 2018 17:34
#1

Updated by Hunt, Christopher almost 5 years ago

Attached are the two scripts I have been using to perform the analysis. Durga has a branched version I believe. We should really merge them again I think.

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