10,594 research outputs found
Unified System for Processing Real and Simulated Data in the ATLAS Experiment
The physics goals of the next Large Hadron Collider run include high
precision tests of the Standard Model and searches for new physics. These goals
require detailed comparison of data with computational models simulating the
expected data behavior. To highlight the role which modeling and simulation
plays in future scientific discovery, we report on use cases and experience
with a unified system built to process both real and simulated data of growing
volume and variety.Comment: XVII International Conference Data Analytics and Management in Data
Intensive Domains (DAMDID/RCDL), Obninsk, Russia, October 13 - 16, 201
First Evaluation of the CPU, GPGPU and MIC Architectures for Real Time Particle Tracking based on Hough Transform at the LHC
Recent innovations focused around {\em parallel} processing, either through
systems containing multiple processors or processors containing multiple cores,
hold great promise for enhancing the performance of the trigger at the LHC and
extending its physics program. The flexibility of the CMS/ATLAS trigger system
allows for easy integration of computational accelerators, such as NVIDIA's
Tesla Graphics Processing Unit (GPU) or Intel's \xphi, in the High Level
Trigger. These accelerators have the potential to provide faster or more energy
efficient event selection, thus opening up possibilities for new complex
triggers that were not previously feasible. At the same time, it is crucial to
explore the performance limits achievable on the latest generation multicore
CPUs with the use of the best software optimization methods. In this article, a
new tracking algorithm based on the Hough transform will be evaluated for the
first time on a multi-core Intel Xeon E5-2697v2 CPU, an NVIDIA Tesla K20c GPU,
and an Intel \xphi\ 7120 coprocessor. Preliminary time performance will be
presented.Comment: 13 pages, 4 figures, Accepted to JINS
Massively Parallel Computing and the Search for Jets and Black Holes at the LHC
Massively parallel computing at the LHC could be the next leap necessary to
reach an era of new discoveries at the LHC after the Higgs discovery.
Scientific computing is a critical component of the LHC experiment, including
operation, trigger, LHC computing GRID, simulation, and analysis. One way to
improve the physics reach of the LHC is to take advantage of the flexibility of
the trigger system by integrating coprocessors based on Graphics Processing
Units (GPUs) or the Many Integrated Core (MIC) architecture into its server
farm. This cutting edge technology provides not only the means to accelerate
existing algorithms, but also the opportunity to develop new algorithms that
select events in the trigger that previously would have evaded detection. In
this article we describe new algorithms that would allow to select in the
trigger new topological signatures that include non-prompt jet and black
hole--like objects in the silicon tracker.Comment: 15 pages, 11 figures, submitted to NIM
Sensitivity of IceCube-DeepCore to neutralino dark matter in the MSSM-25
We analyse the sensitivity of IceCube-DeepCore to annihilation of neutralino
dark matter in the solar core, generated within a 25 parameter version of the
minimally supersymmetric standard model (MSSM-25). We explore the
25-dimensional parameter space using scanning methods based on importance
sampling and using DarkSUSY 5.0.6 to calculate observables. Our scans produced
a database of 6.02 million parameter space points with neutralino dark matter
consistent with the relic density implied by WMAP 7-year data, as well as with
accelerator searches. We performed a model exclusion analysis upon these points
using the expected capabilities of the IceCube-DeepCore Neutrino Telescope. We
show that IceCube-DeepCore will be sensitive to a number of models that are not
accessible to direct detection experiments such as SIMPLE, COUPP and XENON100,
indirect detection using Fermi-LAT observations of dwarf spheroidal galaxies,
nor to current LHC searches.Comment: 15 pages, 13 figures. V2: Additional comparisons are made to limits
from Fermi-LAT observations of dwarf spheroidal galaxies and to the 125 GeV
Higgs signal from the LHC. The spectral hardness section has been removed.
Matches version accepted for publication in JCAP. V3: Typos correcte
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