GSI Helmholtzzentrum für Schwerionenforschung
Software meeting, Tuesday, 11th of November, 14:00 CET
Next software meeting on 11th of November at 14:00 CET. If you plan to show any results or have a topic to discuss, please let us know.
Re: Software meeting, Tuesday, 11th of November, 14:00 CET
Dear Stefano, I would like to discuss with you about new release Oct14 and issue of the double track in the MC truth matching. Please find the material in attached file. Best regards, Donghee
could we have a dedicated sub-session on EMC software. then i would alert certain people as i promised. it would be great if that could take place in the first half of the computing session which, so far, does not overlap with other sessions.
Dear Susan, so far I have received 2 requests, and I think they are enough for a meeting. But we could decide to dedicate the next (25th November) to EMC software. Please let me know the availability of the Emc people for such a date.
StefanoSpataro wrote on Fri, 07 November 2014 09:18 Dear Susan, so far I have received 2 requests, and I think they are enough for a meeting. But we could decide to dedicate the next (25th November) to EMC software. Please let me know the availability of the Emc people for such a date. good idea. i see what i can muster till then.
schadmand wrote on Fri, 07 November 2014 09:00 could we have a dedicated sub-session on EMC software. then i would alert certain people as i promised. it would be great if that could take place in the first half of the computing session which, so far, does not overlap with other sessions. Hi Susan & Stefano, are you talking both about the regular Pandaroot SeeVogh or the Computing Session in Jülich in December? Cheers Ralf
Agenda: a) General Items • Next Collaboration meeting • New Oct14 release • Towards new externals b) Open bugs&forum problems & activities c) Release • (D.Khang) Comparison between Jan14 and Oct14 d) Analysis • (M.Zyzak) KFParticle e) A.o.B. The minutes page here: https://panda-wiki.gsi.de/foswiki/bin/view/Computing/Minutes11Nov2014
Title: Panda Software Description: Community: GSI/FAIR Password: *** Meeting type: Open Meeting (Round Table) Meeting Access Information: SeeVoghRN Application http://research.seevogh.com/joinSRN?meeting=MMMeMn2D2iDMDs9a9uD29M WebStart (Java) http://research.seevogh.com/join?meeting=MMMeMn2D2iDMDs9a9uD29M Mobile App : Meeting ID: 713 0414 or Link: http://research.seevogh.com/join?meeting=MMMeMn2D2iDMDs9a9uD29M Guests Access Information : SeeVoghRN Application http://research.seevogh.com/joinSRN?guest=4007100148096107050000911403 WebStart (Java) http://research.seevogh.com/join?guest=4007100148096107050000911403 Mobile App (only from link) http://research.seevogh.com/join?guest=4007100148096107050000911403 - Phone Bridge ID: 713 0414 Password: 6060
Minutes are ready here: https://panda-wiki.gsi.de/foswiki/bin/view/Computing/Minutes11Nov2014
Hello Stefano and Maksym, in the minutes of the last meeting I saw that an update of another Kalman Filter package is provided. I also read that it exists in a development branch, now. Please, could you say to me where can I acces that code? I am interested in taking a look, for a comparison with genfit2. It would be interesting if that code and genfit2 can run in the same trunk/release revision, so it can be possible to do the proper comparison of the algorithm performance. Thank you for the information, Elisabetta
That Kalman is not meant for tracking but for vertexing. The Kalman for the CA is not yet in the code.
Hi Elisabetta, This is not about a track fitting algorithm, employing the Kalman Filter technique. It is a particle tree fitter, focussing on vertexing & mass constraints. Cheers Ralf
Hi Stefano and Ralf, thank you to answer to my second question. My first question was: where I can have access to that code, as it is said that it is in "development branch"? If there is a link that I can access, I would be interested to take a look. Maybe here I misunderstood something, but are you planning to use different kalman algorithms in pandaroot? or are you planning to try different algorithms, then to choose one? Thank you for your attention, Elisabetta
To question 1), the answer is https://subversion.gsi.de/trac/fairroot/browser/pandaroot/development/mz yzak To question 2), actually we have only one Kalman Filter package in the repository, which is genfit, also a bit obsolete and with problems. If we find a new and better Kalman, it will be good. Currently, the only studies for a new Kalman Filter are the yours with genfit2.
Dear Elisabetta, indeed, the KF Particle package which I presented last week is intended to be used for reconstruction of short lived particles out of the tracks. It can not be used to fit the tracks. Since I worked in PANDA Root, in my current analysis I used genfit to fit the tracks. Our group currently works to put into the repository the CA track finder together with the KF fitter, which we are developing. With best regards, Maksym