[Clas12_software] [EXTERNAL] Data and MC processed with AI-assisted tracking
Daniel Carman
carman at jlab.org
Sat Aug 21 15:18:27 EDT 2021
Folks,
I have compared the new cooking of RG-A fall 2018 inbending data with conventional tracking and AI-assisted
tracking. The results of my study are attached in terms of 4 plots for MM(e’K+) using the skim14 kaon skim
files with the electron in the ECAL.
UL: e’K+(FD) - AI has 19% more events
UR: e’K+(FD)p(FD) - AI has 28% more events
LL: e’K+(FD)p(CD) - AI has 14% more events
LR: e’K+(CD)p(FD) - AI has 18% more events
Here FD implies hadron detection in the Forward Detector and CD implies hadron detection in the Central Detector.
I have used the same run numbers in both studies. I also compared same distributions from the recently cooked files
to the same runs with the original pass-1 cooking for the convention tracking. The number of events for the different
distributions agrees to within a few percent.
Regards,
Daniel
*****************************************************************************
*
* Dr. Daniel Carman e-mail: carman at jlab.org
* Staff Scientist office: (757)-269-5586
* Jefferson Laboratory web: http://userweb.jlab.org/~carman
*
*****************************************************************************
> On Aug 20, 2021, at 5:43 PM, Stepan Stepanyan <stepanya at jlab.org> wrote:
>
> Dear all,
>
> My studies of J/psi yield with new processed 31 runs are not complete, I am missing one run, 5126, for the skim1 of the trainA (reconA) but want to share the results that I have. Attached are 3 distributions of the e+e- invariant mass. The old one is what we have from the pass1 processing, using just the 31 runs that have been processed for the AI-assisted tracking test. The new A is from the trainA (reconA) and the new B is from trainB (reconB). So, B has ~25% more J/psi’s than the pass1, A has about 25% less but, of course, with 1 run missing.
>
> Regards, Stepan
>
>
>
>
> > On Aug 20, 2021, at 7:11 AM, Raffaella De Vita <raffaella.devita at ge.infn.it> wrote:
> >
> > 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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>
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