[Clas12_software] [EXTERNAL] Data and MC processed with AI-assisted tracking

[Richard Tyson (PGR)]

Hi all,

I've attached a comparison of skim1 trainA, trainB and previous pass1 cooking for the J/Psi di-muon analysis. Due to low stats and high background the fits aren't great but they do seem to indicate an increase in statistics for train B.

Thanks,
Richard
________________________________
From: Clas12_software <clas12_software-bounces at jlab.org> on behalf of Raffaella De Vita <Raffaella.Devita at ge.infn.it>
Sent: 20 August 2021 12:11
To: clas12 software <clas12_software at jlab.org>
Subject: [Clas12_software] [EXTERNAL] Data and MC processed with AI-assisted tracking

Dear All,
Following the discussion at the software meeting of few weeks ago, significant statistics for both real data and MC (sidis) was processed with AI-assisted tracking to allow analyses of different final states and comparison to conventional tracking.

For both real data and MC, two sets of DSTs files were produced, one based on conventional tracking and one based on AI-assisted tracking.

The real data samples from RG-A Fall18 unbending are available in:
/volatile/clas12/users/clas12/mlt11/dst/reconA/
/volatile/clas12/users/clas12/mlt11/dst/reconB/

The MC data samples, in RG-A Fall18 unbending configuration, are available in:
/volatile/clas12/users/devita/mlt11/reconA
/volatile/clas12/users/devita/mlt11/reconB
In these two folders, the nobg and bg folders contain reconstruction outputs with pure sidis events and after merging with 45nA background.

Let me know if you have any question.
Best regards,
        Raffaella

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