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

[Nathan Baltzell]

Hello Daniel,

Please use the A/B nomenclature provided and do not arbitrarily assign AI/CONV.

-Nathan


> On Aug 21, 2021, at 3:18 PM, Daniel Carman <carman at jlab.org> wrote:
> 
> 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 <mailto:carman at jlab.org>                   
> * Staff Scientist                 office: (757)-269-5586
> * Jefferson Laboratory       web: http://userweb.jlab.org/~carman <http://userweb.jlab.org/~carman>
> *
> *****************************************************************************
> 
> 
> 
> 
> 
>> On Aug 20, 2021, at 5:43 PM, Stepan Stepanyan <stepanya at jlab.org <mailto: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 <mailto: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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>> 
>> <in_old31_557.pdf><in_newa30_557.pdf><in_newb31_557.pdf>_______________________________________________
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> 
> <ai-conv-study.pdf><smime.p7s>

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