High Energy Physics (HEP) Data Analysis
Implementation of the SVM algorithm for high energy physics data analysis
... standard analysis tool used by particle physicists all over the ...of data in a very efficient way. Having the data defined as a set of objects, specialized storage methods are used to get direct ...
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Support vector machines in high-energy physics
... the data is noisy and the number of support vectors is therefore ...training data that does not exactly reproduce real ...in physics, new solutions will maybe lead to classifiers that are better than ...
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Learning invariant representations with applications to high-energy physics
... to high-energy ...simulated data to distinguish signal from background events based on variables which are descriptive of the underlying physics of the signal ...modern ...
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Evolution of the Hadoop Platform and Ecosystem for High Energy Physics
... Acknowledgements The authors would like to express their gratitude to former team members that made a sig- nificant contribution to the CERN IT Hadoop service: Dirk Duellmann, Daniel Lanza, Luca Menichetti, Kacper Surdy ...
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Data intensive high energy physics analysis in a distributed cloud
... performance issues between the NRC and UVIC clouds and Amazon. The total amount of memory and CPU of each computational cluster in our clouds are divided evenly into what we call VM slots, where each of these slots can ...
8
Data Access and Analysis of Massive Datasets for High-Energy and Nuclear Physics
... commence data collection and analysis in ...scientific data per year during an expected operational period of 10 ...scientific analysis of the physics data is available in the ...
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Statistical-thermodynamical analysis, using Tsallis statistics, in high energy physics
... spectral data from pp collisions utilising a generalised statistical model, may seem like a questionable ...statistical physics in the analysis of a given physical system, is that the observed system ...
85
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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Introduction to neural networks in high energy physics
... For simplicity we consider the training data set shown in the left panel of figure 1. Data points in this example are fully described by their position in the (x 1 , x 2 )-plane. Let’s assume that the ...
18
Application of a Convolutional Neural Network for image classification for the analysis of collisions in High Energy Physics
... 1 Instituto de Física de Cantabria, IFCA (CSIC-UC) Abstract. The application of deep learning techniques using convolutional neu- ral networks for the classification of particle collisions in High Energy ...
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Real, False and Missed Discoveries in High Energy Physics
... the data analysis, specifying the alternative hypothesis before looking at the data, and keeping track of the probability of being wrong, whether via Bayesian or frequentist ...
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A computing structure for data acquisition in high energy physics
... here, allow an acknowledge packet to be send during the reception of data so that continuous data transmission is possible. During bi-directional communication ackn[r] ...
271
A computing structure for data acquisition in high energy physics
... /*detects acknowledge, detects data and generates the reset /*for the receive shift registers. (Different pins to prototype.[r] ...
263
Wireless data transmission for high energy physics applications
... for high data rates even with simple modulation schemes like On-Off-Keying ...The high frequencies furthermore allow for a high degree of ...
8
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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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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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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