-
Notifications
You must be signed in to change notification settings - Fork 30
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Centralized Track-Cluster Matching #1648
Labels
topic: lepton ID
Issues pertinent to electron/muon finding
topic: particle flow
topic: reconstruction
Comments
It makes sense to start with this by porting https://github.com/eic/snippets/blob/main/Calorimetery/MatchClustersToTrackProjections/MatchProjectionsAndClusters.cxx into an EICrecon algorithm. |
6 tasks
I've started to port that to an algorithm, I'll let you know when things are more tested and ready for review |
github-merge-queue bot
pushed a commit
that referenced
this issue
Mar 28, 2025
### Briefly, what does this PR introduce? A centralized algorithm for cluster-track matching which does not rely on any truth issue. ### What kind of change does this PR introduce? - [ ] Bug fix (issue #__) - [X] New feature (issue #1648 ) - [ ] Documentation update - [ ] Other: __ ### Please check if this PR fulfills the following: - [ ] Tests for the changes have been added - [ ] Documentation has been added / updated - [ ] Changes have been communicated to collaborators ### Does this PR introduce breaking changes? What changes might users need to make to their code? ### Does this PR change default behavior? Adds `"TrackClusterMatches` and `BarrelClusters` collections to default output --------- Co-authored-by: EIC Container Build Service <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Dmitry Kalinkin <[email protected]>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Labels
topic: lepton ID
Issues pertinent to electron/muon finding
topic: particle flow
topic: reconstruction
One of the key items identified in the July 2024 UGM is an centralized algorithm to produce track-cluster associations (see the discussions at the UGM and in the Aug. 27th, Sep. 16th, and Oct. 14th Reconstruction WG meetings). This algorithm would function as the starting point for both the eID and PF workflows, and is crucial to excising truth information from the existing eID algorithm.
Describe the solution you'd like
An algorithm which takes in tracks and clusters and produces
Describe alternatives you've considered
n/a
Additional context
This falls into the Reconstruction WG's eID/PFA development program
The text was updated successfully, but these errors were encountered: