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Dan,</div>
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I don't see any fits in your plot. Do you count just the number of the events to compare A and B?</div>
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Thanks,</div>
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Valery</div>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" color="#000000" style="font-size: 11pt;"><b>From:</b> Clas12_software <clas12_software-bounces@jlab.org> on behalf of Nathan Baltzell <baltzell@jlab.org><br>
<b>Sent:</b> Saturday, August 21, 2021 16:42<br>
<b>To:</b> Daniel Carman <carman@jlab.org><br>
<b>Cc:</b> clas12 software <clas12_software@jlab.org>; Raffaella De Vita <raffaella.devita@ge.infn.it><br>
<b>Subject:</b> Re: [Clas12_software] [EXTERNAL] Data and MC processed with AI-assisted tracking</font>
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<div class="" style="word-wrap:break-word; line-break:after-white-space">Hello Daniel,
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<div class="">Please use the A/B nomenclature provided and do not arbitrarily assign AI/CONV.</div>
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<div class="">-Nathan</div>
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<div class="">On Aug 21, 2021, at 3:18 PM, Daniel Carman <<a href="mailto:carman@jlab.org" class="">carman@jlab.org</a>> wrote:</div>
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<div class="" style="word-wrap:break-word; line-break:after-white-space">Folks,
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<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>
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</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>
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<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>
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<div class="">Regards,</div>
<div class="">Daniel</div>
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*****************************************************************************<br class="">
*<br class="">
* Dr. Daniel Carman <a href="mailto:carman@jlab.org" class="">e-mail: carman@jlab.org</a> <br class="">
* Staff Scientist office: (757)-269-5586<br class="">
* Jefferson Laboratory web: <a href="http://userweb.jlab.org/~carman" class="">http://userweb.jlab.org/~carman</a><br class="">
*<br class="">
<div class="">*****************************************************************************</div>
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<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>
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<div class="x_x_PlainText">Dear all,<br class="">
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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="">
> _______________________________________________<br class="">
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> <a href="https://mailman.jlab.org/mailman/listinfo/clas12_software" class="">https://mailman.jlab.org/mailman/listinfo/clas12_software</a><br class="">
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<span id="x_cid:b82c2179-4dc4-4b1c-ab53-65b07a46bb61@namprd09.prod.outlook.com"><ai-conv-study.pdf></span><span id="x_cid:815FC29E6B14F94F9EE5D1E83CD3755D@namprd09.prod.outlook.com"><smime.p7s></span></div>
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