Quartz fibre calorimetry — Monte Carlo simulation Anzivino, G.; Chumarovsky, Yu; Contin, A. ...
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
04/1995, Letnik:
357, Številka:
2
Journal Article
Recenzirano
Calorimeters based on silicon core fibres embedded into an absorber have been simulated by combining the GEANT 3.16 package and a proprietary routine describing Cherenkov photon production in optical ...fibres. The good agreement between simulation results and experimental data allows to study, with a high degree of confidence, the design of a prototype hadronic detector and of different calorimeter configurations to cover the very forward regions of an LHC experiment.
Recent developments in quartz fibre calorimetry Anzivino, G.; Chamorovskii, Yu; Contin, A. ...
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
04/1995, Letnik:
357, Številka:
2
Journal Article
Recenzirano
Results on the light output of different kinds of silica fibres and on energy resolution and electromagnetic shower dimensions in small lead/quartz fibres calorimeter prototypes are presented, ...together with a possible design of a very forward calorimeter for LHC.
Angular dependence of quartz fiber calorimeter response Anzivino, G.; Chamorovskii, Yu; Contin, A. ...
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
06/1995, Letnik:
360, Številka:
1-2
Journal Article
Recenzirano
A small quartz fiber calorimeter prototype with copper absorber has been assembled and tested at ITEP as a first test of a “0 degree” component of the RD-40 R&D program. Calibration and monitoring of ...each tower response was performed using the positions of single photoelectron peaks as well as the response to minimum ionizing particles incident at an angle of 45°. The response of the prototype to 4 GeV electrons as a function of beam angle with respect to the quartz fibers was studied in the range from 0° to 90°. The test results are compared to the GEANT based Monte Carlo (MC) simulations.
In this paper, we discuss the way advanced machine learning techniques allow physicists to perform in-depth studies of the realistic operating modes of the detectors during the stage of their design. ...Proposed approach can be applied to both design concept (CDR) and technical design (TDR) phases of future detectors and existing detectors if upgraded. The machine learning approaches may speed up the verification of the possible detector configurations and will automate the entire detector R\&D, which is often accompanied by a large number of scattered studies. We present the approach of using machine learning for detector R\&D and its optimisation cycle with an emphasis on the project of the electromagnetic calorimeter upgrade for the LHCb detector\cite{lhcls3}. The spatial reconstruction and time of arrival properties for the electromagnetic calorimeter were demonstrated.
Daily operation of a large-scale experiment is a resource consuming task, particularly from perspectives of routine data quality monitoring. Typically, data comes from different sub-detectors and the ...global quality of data depends on the combinatorial performance of each of them. In this paper, the problem of identifying channels in which anomalies occurred is considered. We introduce a generic deep learning model and prove that, under reasonable assumptions, the model learns to identify 'channels' which are affected by an anomaly. Such model could be used for data quality manager cross-check and assistance and identifying good channels in anomalous data samples. The main novelty of the method is that the model does not require ground truth labels for each channel, only global flag is used. This effectively distinguishes the model from classical classification methods. Being applied to CMS data collected in the year 2010, this approach proves its ability to decompose anomaly by separate channels.
The ATLAS and CMS experiments did not find evidence for Supersymmetry using close to 5/fb of published LHC data at a center-of-mass energy of 7 TeV. We combine these LHC data with data on B_s -> mu ...mu (LHCb experiment), the relic density (WMAP and other cosmological data) and upper limits on the dark matter scattering cross sections on nuclei (XENON100 data). The excluded regions in the constrained Minimal Supersymmetric SM (CMSSM) lead to gluinos excluded below 1270 GeV and dark matter candidates below 220 GeV for values of the scalar masses (m_0) below 1500 GeV. For large m_0 values the limits of the gluinos and the dark matter candidate are reduced to 970 GeV and 130 GeV, respectively. If a Higgs mass of 125 GeV is imposed in the fit, the preferred SUSY region is above this excluded region, but the size of the preferred region is strongly dependent on the assumed theoretical error.
Where is SUSY? Beskidt, C; de Boer, W; Kazakov, D I ...
arXiv.org,
02/2012
Paper, Journal Article
Odprti dostop
The direct searches for Superymmetry at colliders can be complemented by direct searches for dark matter (DM) in underground experiments, if one assumes the Lightest Supersymmetric Particle (LSP) ...provides the dark matter of the universe. It will be shown that within the Constrained minimal Supersymmetric Model (CMSSM) the direct searches for DM are complementary to direct LHC searches for SUSY and Higgs particles using analytical formulae. A combined excluded region from LHC, WMAP and XENON100 will be provided, showing that within the CMSSM gluinos below 1 TeV and LSP masses below 160 GeV are excluded (m_{1/2} > 400 GeV) independent of the squark masses.
The pure leptonic decay B_s -> mu mu is strongly suppressed in the Standard Model (SM), but can have large enhancements in Supersymmetry, especially at large values of tanbe. New limits on this decay ...channel from recent LHC data have been used to claim that these limits restrict the SUSY parameter space even more than the direct searches. However, direct searches are hardly dependent on tanbe, while BR(B_s -> mu mu) is proportional to tanbe^6. The relic density constraint requires large tanbe in a large region of the parameter space, which can lead to large values of B_s -> mu mu. Nevertheless, the experimental upper limit on BR(B_s -> mu mu) is not constraining the parameter space of the CMSSM more than the direct searches and the present Higgs limits, if combined with the relic density. We also observe SUSY parameter regions with negative interferences, where the B_s -> mu mu value is up to a factor three below the SM expectation, even at large values of tanbe.
ECONFC0303241:MOET007,2003 Run II at the Fermilab Tevatron Collider started in March 2001, and it will
continue probing the high energy frontier in particle physics until the start
of the LHC at ...CERN. The CDF collaboration at Fermilab has already stored 260 TB
of data and expects to store 1PB of data in the next two years. The HEXCAF
computing farm is being set up at Rutgers University to provide the software
environment, computing resources, and access to data for physicists
participating in the Collaboration. Some job submission, detector data access
and storage of the output results are based on the SAM-GRID tools. To extend
monitoring for these jobs running on the farm a bridge was developed between
the SAM-GRID monitoring tools and the internal farm monitoring. This
presentation will describe the configuration and functionality of the HEXCAF
farm with the emphasis on the monitoring tools. Finally we summarize our
experience of installing and operating a GRID environment on a remote cluster
that is being used for real physics studies in the big running experiment.
