[Clas12_calcom] first draft of pass1 review slides

[silvia]

Hi Gagik,
first of all, the purpose of this set of slides is to summarize the 
conclusions to which we got (Raffaella, you, and I) when we decided 
which network was best for RGC Spring23. So one has to focus on the 
comparison Spring network vs summer network.
This said, if I recall correctly the numbers in slide 50 compare 
with/without AI assisted tracking while the one in slide 53 compares 
with/without denoising.
For the efficiencies above 1, I think it comes from the way I ran the 
aiTracking code, I recall that there is an option to set the "zero" 
point exactly at 1 but I didn't use it to make that plot.
Best regards,
Silvia


On 2025-02-14 12:43, Gagik Gavalian wrote:
> Hi Silvia,
> 
> This may be an irrelevant question, but something strikes me as odd in
> the slides 50 and 53,
> According to slide 50, the gain in single particle reconstruction
> efficiency (for both charges) is about ~12%
> 
> However, on slide 53, at 4 nA, it only shows 2-4% gain in efficiency
> (as far as one can tell from the graph).
> And extrapolated efficiency for 0 nA is above one for the data, which
> I guess normalization was done on AI, so
> it’s the normal procedure.
> However, what’s confusing is that on the MC plots, the efficiency is
> also above one, and it’s not calculated using
> extrapolation, but there is an actual point there. Do we reconstruct
> more tracks in MC when no background is added?
> 
> — Gagik Gavalian
> — Staff Scientist
> — Jefferson Lab
> — email: gavalian at jlab.org
> 
>> On Feb 14, 2025, at 12:06 PM, silvia via Clas12_calcom
>> <clas12_calcom at jlab.org> wrote:
>> 
>> Dear Calcom and RGC,
>> I have prepared a first draft of the slides for the pass1 review:
>> https://box.in2p3.fr/s/BQHfiJnXY6xKmrA
>> If you could please check them, it would be great.
>> Things that will be added shortly:
>> - SIDIS analysis on the test runs
>> - Estimates of computing resources
>> - Back-up slides
>> - whatever has written "to be done" on the slide :-)
>> Thank you all for your contribution!
>> Best regards,
>> Silvia
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