<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">Folks,<div class=""><br class=""></div><div class="">I have compared the new cooking of RG-A fall 2018 inbending data with conventional tracking and AI-assisted</div><div class="">tracking. The results of my study are attached in terms of 4 plots for MM(e’K+) using the skim14 kaon skim</div><div class="">files with the electron in the ECAL.</div><div class=""><br class=""></div><div class="">UL: e’K+(FD) - AI has 19% more events</div><div class="">UR: e’K+(FD)p(FD) - AI has 28% more events</div><div class="">LL: e’K+(FD)p(CD) - AI has 14% more events</div><div class="">LR: e’K+(CD)p(FD) - AI has 18% more events</div><div class=""><br class=""></div><div class="">Here FD implies hadron detection in the Forward Detector and CD implies hadron detection in the Central Detector.</div><div class="">I have used the same run numbers in both studies. I also compared same distributions from the recently cooked files</div><div class="">to the same runs with the original pass-1 cooking for the convention tracking. The number of events for the different</div><div class="">distributions agrees to within a few percent.</div><div class=""><br class=""></div><div class="">Regards,</div><div class="">Daniel</div><div class=""><br class=""><div class="">
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<div><br class=""><blockquote type="cite" class=""><div class="">On Aug 20, 2021, at 5:43 PM, Stepan Stepanyan <<a href="mailto:stepanya@jlab.org" class="">stepanya@jlab.org</a>> wrote:</div><br class="Apple-interchange-newline"><div class="">
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<div class="PlainText">Dear all,<br class="">
<br class="">
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.<br class="">
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Regards, Stepan<br class="">
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> On Aug 20, 2021, at 7:11 AM, Raffaella De Vita <<a href="mailto:raffaella.devita@ge.infn.it" class="">raffaella.devita@ge.infn.it</a>> wrote:<br class="">
> <br class="">
> Dear All,<br class="">
> 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.<br class="">
> <br class="">
> 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.<br class="">
> <br class="">
> The real data samples from RG-A Fall18 unbending are available in:<br class="">
> /volatile/clas12/users/clas12/mlt11/dst/reconA/<br class="">
> /volatile/clas12/users/clas12/mlt11/dst/reconB/<br class="">
> <br class="">
> The MC data samples, in RG-A Fall18 unbending configuration, are available in:<br class="">
> /volatile/clas12/users/devita/mlt11/reconA<br class="">
> /volatile/clas12/users/devita/mlt11/reconB<br class="">
> In these two folders, the nobg and bg folders contain reconstruction outputs with pure sidis events and after merging with 45nA background.<br class="">
> <br class="">
> Let me know if you have any question.<br class="">
> Best regards,<br class="">
> Raffaella<br class="">
> <br class="">
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