1 / 5

ANN ON CALDET

ANN ON CALDET. ANN Work at Athens: See MINOS Collaboration talks G. Tzanakos, “MINOS analysis using neural network techniques” March ‘03 Collab. Meeting, numi0908.html (NUMI-TRANS-GEN-908) G. Tzanakos, “CC analysis: CC and NC event ID with neural nets”

marlo
Download Presentation

ANN ON CALDET

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. ANN ON CALDET • ANN Work at Athens: See MINOS Collaboration talks • G. Tzanakos, “MINOS analysis using neural network techniques” • March ‘03 Collab. Meeting, numi0908.html (NUMI-TRANS-GEN-908) • G. Tzanakos, “CC analysis: CC and NC event ID with neural nets” • June ‘03 Collab. Meeting, numi0936.html (NUMI-TRANS-GEN-936) • Niki Saoulidou, “Nu_e Analysis: nu_muCC/nu_eCC/NC_event ID with ANN” • Sept ‘03 Collab. Meeting, numi0959.html (NUMI-TRANS-GEN-959) NC Analysis meeting, Nov 25, 2003 George Tzanakos, University of Athens

  2. Motivation •    (Disappearance) •   e •   s • The importance of numu/nue/NC separation • cannot be overemphasized

  3. Goals • Use ANN techniques to classify/identify Neutrino Interactions on “event-by-event” basis using topological and physical characteristics of neutrino events derived from MC generated interactions: • CC νμ νe , NC (FD, ND) • QE, SP, DIS (???) • Classify electrons/hadrons/muons (CALDET) • Requirement: MC should be capable of describing very well the neutrino data.

  4. PLAN • Monte Carlo CALDET events for ANN training • Comparative study of MC and data • Identify Discriminating variables • Develop ANN architectures • Produce output functions Need:Access to CALDET data + CALDET MC

  5. (at present) Participants • Athens • Panos Stamoulis, GRA • Miltos Zois, GRA • George Houdalakis, Undergrad • Artemis Gerodimos, Undergrad • Dimitris Drakoulakos, RA • GST • Fermilab • Niki Saoulidou

More Related