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[PDF] Top 20 Updating Monte Carlo collision generators with LHC data up to √s = 8 TeV

Has 10000 "Updating Monte Carlo collision generators with LHC data up to √s = 8 TeV" found on our website. Below are the top 20 most common "Updating Monte Carlo collision generators with LHC data up to √s = 8 TeV".

Updating Monte Carlo collision generators with LHC data up to √s = 8 TeV

Updating Monte Carlo collision generators with LHC data up to √s = 8 TeV

... fast Monte Carlo collision generator able to reproduce the NSD data up to √ s = 8 ...the data collected up to now, for instance the total average ... See full document

6

Higgs production enhancement in P-P collisions using Monte Carlo techniques at √s = 13 TeV

Higgs production enhancement in P-P collisions using Monte Carlo techniques at √s = 13 TeV

... PYTHIA 8 and POWHEG 1 . 0 Monte Carlo event ...F data set taking into account the effects of uncertainties from ISR and FSR is done in ... See full document

7

Modelling hadronic interactions in cosmic ray Monte Carlo generators

Modelling hadronic interactions in cosmic ray Monte Carlo generators

... Fig. 8 left-hand side, the particle density at mid-rapidity is well reproduced by all the models up to 2 TeV where Tevatron data [40] constrain the results, but at the highest energies in ... See full document

10

Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at root s=7 and 8 TeV

Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at root s=7 and 8 TeV

... This paper is organised as described below. Section 2 briefly reviews the theoretical calculations of Higgs boson production and decay, and the modelling of the Higgs boson signal in Monte Carlo (MC) ... See full document

113

Bayes and Big Data: The Consensus Monte Carlo Algorithm

Bayes and Big Data: The Consensus Monte Carlo Algorithm

... “big data” problems the analyst is in control of the sharding process, so data can be sharded by randomly assigning each observation (or cluster of correlated observations) to a ...large data sets ... See full document

22

Quantum Monte Carlo and Data Management in Grid Middleware

Quantum Monte Carlo and Data Management in Grid Middleware

... We have performed the calculations for 500 particles. The parameters characterizing the trap and the scattering length have been chosen to reach values of the gas parameter where the MGP calculations provide corrections ... See full document

188

Measurements of the Higgs boson production and decay rates and coupling strengths using pp collision data at √s=7 and 8 TeV in the ATLAS experiment

Measurements of the Higgs boson production and decay rates and coupling strengths using pp collision data at $$\sqrt{s}=7$$ s = 7 and 8 TeV in the ATLAS experiment

... R. C. Edgar 89 , W. Edson 2 , N. C. Edwards 46 , W. Ehrenfeld 21 , T. Eifert 30 , G. Eigen 14 , K. Einsweiler 15 , T. Ekelof 166 , M. El Kacimi 135c , M. Ellert 166 , S. Elles 5 , F. Ellinghaus 83 , A. A. Elliot ... See full document

51

On the use of Bayesian Monte-Carlo in evaluation of nuclear data

On the use of Bayesian Monte-Carlo in evaluation of nuclear data

... nuclear data is based on nuclear reaction models and experiments. Various data assimilation procedures exist mainly based on the concept of Bayesian inference which consists in assessing the knowledge of ... See full document

6

Search of New Higgs Boson in B L Model at the LHC Using Monte Carlo Simulation

Search of New Higgs Boson in B L Model at the LHC Using Monte Carlo Simulation

... at LHC us- ing the data produced from simulated collisions between two protons at different center of mass energies by Monte Carlo event generator programs to find new Higgs boson signatures ... See full document

8

Search for flavour changing neutral current top quark decays to qZ in pp collision data collected with the ATLAS detector at √s=8 TeV

Search for flavour changing neutral current top quark decays to qZ in pp collision data collected with the ATLAS detector at √s=8 TeV

... V. Izzo 104a , S. Jabbar 3 , B. Jackson 122 , M. Jackson 74 , P. Jackson 1 , M. R. Jaekel 30 , V. Jain 2 , K. Jakobs 48 , S. Jakobsen 30 , T. Jakoubek 127 , J. Jakubek 128 , D. O. Jamin 114 , D. K. Jana 79 ... See full document

24

Measurement of the charge asymmetry in highly boosted top quark pair production in √s=8 TeV pp collision data collected by the ATLAS experiment

Measurement of the charge asymmetry in highly boosted top-quark pair production in √s=8 TeV pp collision data collected by the ATLAS experiment

... L.J. Armitage 78 , O. Arnaez 31 , H. Arnold 49 , M. Arratia 29 , O. Arslan 22 , A. Artamonov 98 , G. Artoni 121 , S. Artz 85 , S. Asai 156 , N. Asbah 43 , A. Ashkenazi 154 , B. Åsman 147a , 147b , L. ... See full document

20

RESPONSE SURFACE MODELLING OF MONTE-CARLO FIRE DATA

RESPONSE SURFACE MODELLING OF MONTE-CARLO FIRE DATA

... Network modelling has been used to solve fire and smoke protection problems [12,13]. Networks are made up of nodes connected by links. The building is divided into compartments (nodes). The temperature, pressure ... See full document

291

Search for squarks and gluinos with the ATLAS detector in final states with jets and missing transverse momentum using s√=8 TeV proton-proton collision data

Search for squarks and gluinos with the ATLAS detector in final states with jets and missing transverse momentum using s√=8 TeV proton-proton collision data

... purity of the validation event samples selecting background events containing hadronically decaying τ -leptons ranges from 65% to 90%. 6 Event selection Events selected by the trigger are discarded if they contain any ... See full document

52

Search for squarks and gluinos with the ATLAS detector in final states with jets and missing transverse momentum using √s=8 TeV proton-proton collision data

Search for squarks and gluinos with the ATLAS detector in final states with jets and missing transverse momentum using √s=8 TeV proton-proton collision data

... JHEP09(2014)176 5 Event reconstruction Jet candidates are reconstructed using the anti-k T jet clustering algorithm [ 80 , 81 ] with a radius parameter of 0.4. The inputs to this algorithm are the energies of clusters [ ... See full document

52

Monte Carlo Simulations

Monte Carlo Simulations

... ^ĞƌǀŝĐĞĚĞZĞĐŚĞƌĐŚĞƐ ĚĞDĠƚĂůůƵƌŐŝĞ WŚLJƐŝƋƵĞ ^ĂĐůĂLJ. •[r] ... See full document

12

Search for squarks and gluinos with the ATLAS detector in final states with jets and missing transverse momentum using √s = 8 TeV proton-proton collision data

Search for squarks and gluinos with the ATLAS detector in final states with jets and missing transverse momentum using √s = 8 TeV proton-proton collision data

... purity of the validation event samples selecting background events containing hadronically decaying τ -leptons ranges from 65% to 90%. 6 Event selection Events selected by the trigger are discarded if they contain any ... See full document

52

Monte Carlo methods

Monte Carlo methods

... If the prior is also invariant, then the posterior π inherits the same property. π has then as many redundant modes as there are permutations to which it is invariant, and this is undesirable when it comes to marginal ... See full document

21

Monte Carlo Simulation

Monte Carlo Simulation

... Because the payoff of a hedged portfolio has a lower stan- dard deviation than the payoff of an unhedged one, using hedges can reduce the volatility of the value of the portfolio. A delta hedge consists of holding ∆ = ... See full document

54

Monte Carlo Computability

Monte Carlo Computability

... 4. Nash is the problem that maps a bi-matrix game (A, B) ∈ R m×n × R m×n to one of its Nash equilibria [23] and is Las Vegas computable [8]. 5. Sorting stands for the problem SORT 2 : 2 N → 2 N of sorting a binary ... See full document

14

A Monte Carlo Comparison of Tests for Cointegration in Panel Data

A Monte Carlo Comparison of Tests for Cointegration in Panel Data

... Wkh fkdoohqjh lq wdnlqj dgydqwdjh ri wkhvh surshuwlhv lv wkh gl!fxow| lq ghulylqj wkh prphqwv ri wkh frpsoh{ frpelqdwlrqv ri Eurzqldq eulgjhv dqg ixqfwlrqdov ri Eurzqldq prwlrq zklfk riwhq dulvh iurp wkh dv|pswrwlfv lq ... See full document

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