Enric Tejedor Saavedra
(CERN)
18/01/2016, 14:00
Data Analysis - Algorithms and Tools
Oral
Data Mining as a Service (DMaaS) is a software and computing infrastructure that allows interactive mining of scientific data in the cloud. It allows users to run advanced data analyses by leveraging the widely adopted Jupyter notebook interface. Furthermore, the system makes it easier to share results and scientific code, access scientific software, produce tutorials and demonstrations as...
Zdenek Hubacek
(Czech Technical University (CZ))
18/01/2016, 14:25
Data Analysis - Algorithms and Tools
Oral
Many physics and performance studies with the ATLAS detector at the Large Hadron Collider require very large samples of simulated events, and producing these using the full GEANT4 detector simulation is highly CPU intensive. Often, a very detailed detector simulation is not needed, and in these cases fast simulation tools can be used to reduce the calorimeter simulation time by a few orders of...
Prof.
Ivan Kisel
(FIAS, Goethe University, Frankfurt am Main)
18/01/2016, 14:50
Data Analysis - Algorithms and Tools
Oral
The future heavy-ion experiment CBM (FAIR/GSI, Darmstadt, Germany) will focus on measurement of very rare probes at interaction rates up to 10 MHz with data flow of up to 1 TB/s. The beam will provide free stream of beam particles without bunch structure. That requires full online event reconstruction and selection not only in space, but also in time, so-called 4D event building and selection....
Alexis Pompili
(Universita e INFN, Bari (IT))
18/01/2016, 15:45
Data Analysis - Algorithms and Tools
Oral
In order to test the computing capabilities of GPUs with respect to traditional CPU cores a high-statistics toy Monte Carlo technique
has been implemented both in ROOT/RooFit and GooFit frameworks with the purpose to estimate the statistical significance of the
structure observed by CMS close to the kinematical boundary of the JPsiPhi invariant mass in the three-body decay B+ to JPsi Phi...
Sebastien Wertz
(Universite Catholique de Louvain (UCL) (BE))
18/01/2016, 16:10
Data Analysis - Algorithms and Tools
Oral
The Matrix Element reweighting Method (MEM) is a powerful multivariate method allowing to maximally exploit the experimental and theoretical information available to an analysis. Several applications of the MEM at LHC experiments are discussed, such as searches for rare processes and measurements of properties of the Standard Model Higgs boson. The MadWeight phase-space generator, allowing for...
Michele Selvaggi
(Universite Catholique de Louvain (UCL) (BE))
18/01/2016, 16:35
Oral
A status of recent developments of the DELPHES C++ fast detector simulation framework will be given. New detector cards for the LHCb detector and prototypes for future e+ e- (ILC, FCC-ee) and p-p colliders at 100 TeV (FCC-hh) have been designed. The particle-flow algorithm has been optimised for high multiplicity environments such as high luminosity and boosted regimes. In addition, several...
