Mr
Eric LEITE
(Federal University of Rio de Janeiro)
25/02/2010, 14:00
Data Analysis - Algorithms and Tools
Parallel Talk
The ATLAS online filtering (trigger) system comprises three sequential filtering levels and uses information from the three subdetectors (calorimeters, muon system and tracking). The electron/jet channel is very important for triggering system performance as interesting signatures (Higgs, SUSY, etc.) may be found efficiently through decays that produce electrons as final-state particles....
Dr
David Lawrence
(Jefferson Lab)
25/02/2010, 14:25
Data Analysis - Algorithms and Tools
Parallel Talk
The GlueX experiment will gather data at up to 3GB/s into a
level-3 trigger farm, a rate unprecedented at Jefferson
Lab. Monitoring will be done using the cMsg publish/subscribe
system to transport ROOT objects over the network using
the newly developed RootSpy package. RootSpy can be attached
as a plugin to any monitoring program to "publish" its objects
on the network without...
Prof.
Massimo Di Pierro
(DePaul University)
25/02/2010, 14:50
Data Analysis - Algorithms and Tools
Parallel Talk
mc4qcd is a web based collaboration for analysis of Lattice QCD data. Lattice QCD computations consists of a large scale Markov Chain Monte Carlo. Multiple measurements are performed at each MC step. Our system acquires the data by uploading log files, parses them for results of measurements, filters them, mines the data for required information by aggregating results in multiple forms,...
Dr
Joerg Stelzer
(DESY, Germany)
25/02/2010, 15:15
Data Analysis - Algorithms and Tools
Parallel Talk
At the dawn of LHC data taking, multivariate data analysis techniques
have become the core of many physics analyses. TMVA provides easy
access to sophisticated multivariate classifiers and is widely used to
study and deploy these for data selection. Beyond classification, most
multivariate methods in TMVA perform regression optimization which can
be used to predict data corrections, e.g....
Mr
Andrey Lebedev
(GSI, Darmstadt / JINR, Dubna)
25/02/2010, 16:10
Data Analysis - Algorithms and Tools
Parallel Talk
Particle trajectory recognition is an important and challenging task in the Compressed Baryonic Matter (CBM) experiment at the future FAIR accelerator at Darmstadt. The tracking algorithms have to process terabytes of input data produced in particle collisions. Therefore, the speed of the tracking software is extremly important for data analysis. In this contribution, a fast parallel track...
Dr
Gregory Schott
(Karlsruhe Institute of Technology), Dr
Lorenzo Moneta
(CERN)
25/02/2010, 16:35
Data Analysis - Algorithms and Tools
Parallel Talk
RooStats is a project to create advanced statistical tools required for the analysis of
LHC data, with emphasis on discoveries, confidence intervals, and combined measurements.
The idea is to provide the major statistical techniques as a set of C++ classes with coherent interfaces, which can be used on arbitrary model and datasets in a common way. The classes are built on top of RooFit,...
Dr
Michael D. McCool
(Intel/University of Waterloo)
25/02/2010, 17:00
Data Analysis - Algorithms and Tools
Parallel Talk
A great portion of data mining in a high-energy detector experiment is spent in the complementary tasks of track finding and track fitting. These problems correspond, respectively, to
associating a set of measurements to a single particle, and to determining the parameters of the track given a candidate path [Avery 1992]. These parameters usually correspond to
the 5-tuple state of the model...
