[Clas12_rgb] [EXTERNAL] Re: machine-learning tutorial at the next RGB meeting

Richard Tyson (PGR) r.tyson.1 at research.gla.ac.uk
Mon Jun 14 11:25:51 EDT 2021


Hi all,

I've put together a quick example on using machine learning for PID in java using the deeplearning4j library. You can find this example at https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_rtysonCLAS12_ML-5Fnotebooks_tree_main_DL4J-5FExample&d=DwIFAg&c=CJqEzB1piLOyyvZjb8YUQw&r=p0fOsYOqPes7kSrF0-ldLy8UQdwZWwpYV125WHZsrFE&m=BwBbsEIDFWV-OefkX_wIaWj4lMaKJ-eSyVzXsEJgIRg&s=BaKvatiCs03nvCNd2BvQmD-g7OlyzwJUnZInCUyilfc&e=  . Unfortunately, I'm not that familiar with computing at JLab (or with maven/eclipse) so it would be nice if anyone wanting to learn how to use these tools could try running this by Friday and let me know how they got on! In principle theDL4J_Example repository is an eclipse-workspace so I'm hoping that it won't be too hard to import the maven project it houses (but again would be great to get feedback on this)...

I've also recently given a seminar for our group in Glasgow for which I put together a short example on using machine learning for denoising toy drift chamber data in python, you can try this out following the instructions in the attached slide, it takes 5 minutes. I'd be happy to also discuss this on Friday if people are interested, although I realise we might not have enough time for all this.

Thanks,
Richard

________________________________
From: Clas12_rgb <clas12_rgb-bounces at jlab.org> on behalf of silvia at jlab.org <silvia at jlab.org>
Sent: 13 June 2021 20:13
To: clas12_rgb at jlab.org <clas12_rgb at jlab.org>
Subject: [Clas12_rgb] machine-learning tutorial at the next RGB meeting

Dear all,
following Adam's presentation on the machine-learning-based veto for
protons in the CD, and given the interest of the people attending, we
decided to devite our next RG-B meeting (Friday June 18th, 8:30AM) to a
"tutorial" session on machine learning. It will be hosted by Adam (for the
ROOT-based tutorial) and Richard (for the Java-based tutorial). It will be
a very practical session, to teach how to use the available codes and get
operational quickly.
I think this can be a nice first step towards the sharing of analysis
tools, at least within RG-B - although if anyone from other RG's is
reading this message, they'll be very welcome as well.
I may actually inform the WG leaders of this tutorial session to see if
they think it could be beneficial to advertise it to their groups.
Best regards,
Silvia


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