Description
Chairs:
2:00-3:40: Ivan REID
4:05-6:00: Jiahang ZHONG
Su Yong Choi
(Korea University)
08/09/2011, 14:00
Track 2 : Data Analysis - Algorithms and Tools
Parallel talk
We derive a kinematic variable that is sensitive to the mass of the Standard Model Higgs boson (M_H) in the H->WW*->l l nu nu-bar channel using symbolic regression method. Explicit mass reconstruction is not possible in this channel due to the presence of two neutrinos which escape detection. Mass determination problem is that of finding a mass-sensitive function that depends on the measured...
Jiahang Zhong
(Institute of Physics-Academia Sinica)
08/09/2011, 14:25
Track 2 : Data Analysis - Algorithms and Tools
Parallel talk
We present a new approach to simulate Beyond-Standard-Model (BSM) processes which are defined by multiple parameters. In contrast to the traditional grid-scan method where a large number of events are simulated at each point of a sparse grid in the parameter space, this new approach simulates only a few events at each of a selected number of points distributed randomly over the whole parameter...
Mr
Balázs Kégl
(Linear Accelerator Laboratory)
08/09/2011, 14:50
Track 2 : Data Analysis - Algorithms and Tools
Parallel talk
Adaptive Metropolis (AM) is a powerful recent algorithmic tool in numerical Bayesian data analysis. AM builds on a well-known Markov Chain Monte Carlo (MCMC) algorithm but optimizes the rate of convergence to the target distribution by automatically tuning the design parameters of the algorithm on the fly. In our data analysis problem of counting muons in the water Cherenkov signal of the...
Mr
José Manoel de Seixas
(Univ. Federal do Rio de Janeiro (UFRJ))
08/09/2011, 15:15
Track 2 : Data Analysis - Algorithms and Tools
Parallel talk
Electrons and photons are among the most important signatures in ATLAS. Their identification against jets background by the online trigger system relies very much on calorimetry information. The ATLAS online trigger comprises three cascaded levels and the Ringer is an alternative set of algorithms that uses calorimetry information for electron detection at the second trigger level (L2). It is...
Mr
Peralva Sotto-Maior
(Universidade Federal do Rio de Janeiro (UFRJ))
08/09/2011, 16:10
Track 2 : Data Analysis - Algorithms and Tools
Parallel talk
The Barrel Hadronic calorimeter of ATLAS (Tilecal) is a detector used in the reconstruction of hadrons, jets, muons and missing transverse energy from the proton-proton collisions at the Large Hadron Collider (LHC). It comprises 10,000 channels in four readout partitions and each calorimeter cell is made of two readout channels for redundancy. The energy deposited by the particles produced in...
Mr
Peter Koevesarki
(Physikalisches Institut-Universitaet Bonn)
08/09/2011, 16:35
Track 2 : Data Analysis - Algorithms and Tools
Parallel talk
A novel method to estimate probability density functions, suitable for multivariate analyses will be presented. The implemented algorithm can work on relatively large samples, iteratively finding a non-parametric density function with adaptive kernels. With increasing number of sample points the resulting function converges to the real probability density. Specifically, we discuss a...
Andras Laszlo
(CERN, Geneva (on leave of absence from KFKI Research Institute for Particle and Nuclear Physics, Budapest))
08/09/2011, 17:00
Track 2 : Data Analysis - Algorithms and Tools
Parallel talk
A freqently faced task in experimental physics is to measure the probability distribution of some quantity. Often this quantity to be measured is smeared by a non-ideal detector response or by some physical process. The procedure of removing this smearing effect from the measured distribution is called unfolding, and is a delicate problem in signal processing. Due to the numerical...
