'Event classification' diaporamas de présentation

Machine Learning Techniques for HEP Data Analysis with T MVA

Machine Learning Techniques for HEP Data Analysis with T MVA. Andreas H oecker ( * ) (CERN) Seminar, LPNHE Paris , June 20, 2007. ( * ) On behalf of the author team: A. Hoecker, P. Speckmayer, J. Stelzer, F. Tegenfeldt, H. Voss, K. Voss

606 views • 49 slides

Machine Learning Techniques for HEP Data Analysis with T MVA

Machine Learning Techniques for HEP Data Analysis with T MVA. Andreas H oecker ( * ) (CERN) Seminar, LPNHE Paris , June 20, 2007. ( * ) On behalf of the author team: A. Hoecker, P. Speckmayer, J. Stelzer, F. Tegenfeldt, H. Voss, K. Voss

492 views • 49 slides

649 views • 48 slides

Machine Learning Techniques for HEP Data Analysis with T MVA

Machine Learning Techniques for HEP Data Analysis with T MVA. Andreas H oecker ( * ) (CERN) Seminar, LAL Orsay , June 21, 2007. ( * ) On behalf of the author team: A. Hoecker, P. Speckmayer, J. Stelzer, F. Tegenfeldt, H. Voss, K. Voss

486 views • 48 slides

Machine Learning Techniques for HEP Data Analysis with T MVA

584 views • 46 slides

HEP Data Mining with T MVA ? ToolKit for Multivariate Analysis with ROOT ?

584 views • 45 slides

HEP Data Mining with T MVA ? ToolKit for Multivariate Analysis with ROOT ?

554 views • 42 slides

Low x Meeting ISCHIA ISLAND, ITALY September 8-13 2009

DETECTING DIFFRACTIVE INTERACTIONS AT THE LHC. (1) Multivariate classification of diffractive and non-diffractive events at low lumi LHC. (2) Low mass central diffraction at LHCb. Risto Orava University of Helsinki, Helsinki Institute of Physics CERN.

506 views • 36 slides

Palomar-Quest and other modern surveys Some slides borrowed from G. Djorgovsky

Palomar-Quest and other modern surveys Some slides borrowed from G. Djorgovsky. Arne Henden Director, AAVSO arne@aavso.org. Palomar-Quest Digital Synoptic Sky Survey. Uses Palomar 48-inch f/2.5 Samuel Oschin Schmidt Telescope and Quest2 112-CCD, 161 Mpix camera; fully automated operation

408 views • 28 slides

Palomar-Quest and other modern surveys Some slides borrowed from G. Djorgovsky

Palomar-Quest and other modern surveys Some slides borrowed from G. Djorgovsky. Arne Henden Director, AAVSO arne@aavso.org. Palomar-Quest Digital Synoptic Sky Survey. Uses Palomar 48-inch f/2.5 Samuel Oschin Schmidt Telescope and Quest2 112-CCD, 161 Mpix camera; fully automated operation

288 views • 28 slides

Automatic classification of the seismic monitoring data at the Aaknes rock slope, Norway

Automatic classification of the seismic monitoring data at the Aaknes rock slope, Norway. T. Fischer 1,2 , M. Roth 3 , D. Kuehn 3 (1) Institute of Geophysics, Czech Academy of Sciences (2) Faculty of Science, Charles University in Prague (3) NORSAR. Outline. Site characterization

460 views • 24 slides

Bayesian Estimation for Angle Recovery: Event Classification and Reconstruction in Positron Emission Tomography

Bayesian Estimation for Angle Recovery: Event Classification and Reconstruction in Positron Emission Tomography. A.M.K. Foudray, C.S. Levin Department of Radiology and Molecular Imaging Program Stanford University, Stanford, CA 94305 Department of Physics

377 views • 22 slides

ILC DAQ issues

198 views • 11 slides

Summary of Parallel Session on Offline Data Processing J. Urheim Sunday, July 14 2002

Summary of Parallel Session on Offline Data Processing J. Urheim Sunday, July 14 2002. Initial Goals of Processing. Work out the technical aspects FNAL batch farms, set up infrastructure (A. Sousa, H. Rubin) Offline software: performance, robustness

178 views • 9 slides

L1 Database Contents

L1 Database Contents. Seth Digel, for LAT FITS definition group: Masa Hirayama, Sandhi Bansal, Jerry Bonnell, and Guillaume Dubus HEPL/Stanford Univ. 16 July 2003. Outline. Why have this talk? Contents of L1 event summaries What might we need to add What we might do without.

170 views • 7 slides