High-energy physics
Sizes and distances in high energy physics
... in high energy physics Vladimir Petrov 1 , 1 Institute for High Energy Physics, NRC Kurchatov Institute, Protvino, Russia ...in high energy ...
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The World Wide Web and High Energy Physics
... progress and evaluate technologies, and to make projections for the future. The goal of the conference series has been to determine how advanced computing and networking can effectively enable high energy ...
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Introduction to neural networks in high energy physics
... The situation is not helped by common explanations which try to draw analogies between artificial neural networks and the human brain, for the brain is an even more complex black box itself. In this introductory text, I ...
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Support vector machines in high-energy physics
... 1 Introduction Multivariate analysis has become an essential tool in high-energy physics analysis. Widely used algo- rithms include Neural Networks (NNs) and boosted decision trees (BDTs). A fairly ...
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Systems-on-Chip (SoC) for applications in High-Energy Physics
... in High-Energy Physics In view of the Time Projection Chamber for the future Linear Collider (LCTPC), a new front-end Application-Speci c Integrated Circuit has been developed: the 16 channels ...
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New Materials for Vacuum Chambers in High Energy Physics
... in high energy particle accelerator where interactions of particles with matter may induce thermal load, material activation, background … The choice of the material of the vacuum chamber is crucial for the ...
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Wireless data transmission for high energy physics applications
... a high bandwidth, a small form factor and an already mature ...for high energy physics application and the developments towards a demonstrator prototype are ...
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Learning invariant representations with applications to high-energy physics
... Each of these points must be considered when applying machine learning to experimental analyses. Behnke et al. (2013) provide a comprehensive overview of the idiosyncrasies of applying machine learning to ...
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Data intensive high energy physics analysis in a distributed cloud
... In this work, we focus on data intensive high energy physics applications where the job reads large sets of input data at higher rates. In particular, we use the analysis application of the BaBar ...
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NATIONAL LABORATORY FOR HIGH ENERGY PHYSICS
... Since 1t 1s difficult to know the bunch area at transition, we estimate 1t from the area at the starting point of acceleration ( P 2 ). From this value and the table of Gumowski's'', t[r] ...
XWHEP : XtremWeb by High Energy Physics
... Lodygensky Laboratoire de l’Accélérateur Linéaire «Recherche en Grille - Grille de Production» Lyon - 13/10/2009 21 Public job Group worker Group job Confidentiality Deployment confin[r] ...
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High Energy Physics and Cosmology as Computation
... ∑ of Ramanujan [19] [20] and the many other results such as our equation No. 31 reported in the present paper. 11. Conclusion Computation lies at the root of the very process of thinking. It is not the last stage of a ...
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MACHINE LEARNING IN HIGH ENERGY PHYSICS
... it means we cannot use training events to estimate quality when classifier's decision rule is too complex and captures details from training data that are not relevant to.. distribution,[r] ...
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High Energy Physics at Berkeley Lab
... Flavor Physics: KamLAND and θ 13 The impressive results from Super Kamiokande on atmospheric neutrinos and from SNO on solar neutrinos were the impetus for new, higher sensitivity measurements of neutrino ...the ...
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Some topics in theoretical high-energy physics
... The standard model of the early universe has re- cently been used to place constraints on the masses and lifetimes of possible nearly-stable heavy neutrino- like particl[r] ...
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Introduction to Statistical Methods for High Energy Physics
... • In particle physics frequency interpretation often most useful, but subjective probability can provide more natural treatment of non-repeatable phenomena:. systematic uncertainties, [r] ...
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2009 European School of High-energy Physics
... higher energy scales) is known, and effective theory is used to simplify calcula- tions or make them possible in the first ...different energy scales can be summed; this makes effective field theories ...
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Bringing high energy physics to the classroom with HY.P.A.T.I.A.
... School physics in most countries revolves around basic and rather old concepts that may be fundamental in understating physics but they are also very far from the cutting edge of modern ...particle ...
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Nonextensive statistical mechanics and high energy physics
... 2 Santa Fe Institute - 1399 Hyde Park Road, Santa Fe, NM 87501, USA Abstract. The use of the celebrated Boltzmann-Gibbs entropy and statistical mechanics is justified for ergodic-like systems. In contrast, complex ...
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Extra dimensions hypothesis in high energy physics
... mixing angle θ, the (inverse) coupling constant of the radion to the trace of the energy-momentum tensor of the SM fields Λ r and the parameter c. Let us consider several interesting subspaces of the parameter ...
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