PROCESS DEPENDENCE AND THE SIVERS EFFECT IN INCLUSIVE AND SEMI-INCLUSIVE REACTIONS

2014 ◽  
Vol 25 ◽  
pp. 1460018
Author(s):  
LEONARD GAMBERG ◽  
ZHONG-BO KANG ◽  
ALEXEI PROKUDIN
Keyword(s):  
Experimental Data ◽  
Spin Asymmetry ◽  
Initial State ◽  
Final State ◽  
Proton Proton ◽  
Proton Collisions ◽  
Asymmetry Data ◽  
Final State Interactions ◽  
Inclusive Jet Production ◽  
Proton Proton Collisions

We perform an analysis of the the spin asymmetry for single inclusive jet production in proton-proton collisions collected by AnDY experiment and the Sivers asymmetry data from semi-inclusive deep inelastic scattering experiments. In particular, we consider the role color gauge invariance plays in determining the process-dependence of the Sivers effect. We find that after carefully taking into account the initial-state and final-state interactions between the active parton and the remnant of the polarized hadron, the calculated jet spin asymmetry based on the Sivers functions extracted from HERMES and COMPASS experiments is consistent with the AnDY experimental data. This provides a first indication for the process-dependence of the Sivers effect in different processes. We also make predictions for both direct photon and Drell-Yan spin asymmetry, to further test the process-dependence of the Sivers effect in future experiments.

scholarly journals Forward backward multiplicity correlations: a tool to study properties of the proton-proton collisions

2018 ◽  
Vol 172 ◽  
pp. 05008 ◽  
Author(s):  
Edgar Dominguez-Rosas ◽  
Eleazar Cuautle Flores
Keyword(s):  
Experimental Data ◽  
Hadron Production ◽  
Event Generator ◽  
Proton Proton ◽  
Proton Collisions ◽  
Electron Positron ◽  
Color Reconnection ◽  
Proton Proton Collisions ◽  
Production Mechanisms ◽  
Reconnection Model

Forward-backward multiplicity correlations have been used to study hadron production mechanisms in electron-positron, proton-proton and more recently in leadlead collisions. The experimental results on this correlations and its comparison to different models reveals an incomplete agreement. In this work, we present an study of forward backward multiplicity correlations in proton-proton collisions using PYTHIA event generator, at LHC energies. Detailed analysis is presented in the case of soft and hard QCD processes, incorporating color reconnection model as part of hadronization mechanism and multiple parton interactions effects in the correlations. Our results and its comparison to available experimental data suggest that this kind of correlations are great tools to characterize the events and gives the possibility to disentangle phenomena in hard and soft QCD processes.

scholarly journals A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
A. M. Sirunyan ◽  
◽  
A. Tumasyan ◽  
W. Adam ◽  
F. Ambrogi ◽  
...  
Keyword(s):  
Neural Network ◽  
Multivariate Regression ◽  
Simultaneous Estimation ◽  
Feed Forward Neural Network ◽  
Final State ◽  
Shape Information ◽  
Proton Proton ◽  
Proton Collisions ◽  
B Quarks ◽  
Proton Proton Collisions

AbstractWe describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in proton–proton collisions at an energy of $$\sqrt{s}=13\,\text {TeV} $$ s = 13 TeV at the CERN LHC. The algorithm is trained on a large sample of simulated b jets and validated on data recorded by the CMS detector in 2017 corresponding to an integrated luminosity of 41 $$\,\text {fb}^{-1}$$ fb - 1 . A multivariate regression algorithm based on a deep feed-forward neural network employs jet composition and shape information, and the properties of reconstructed secondary vertices associated with the jet. The results of the algorithm are used to improve the sensitivity of analyses that make use of b jets in the final state, such as the observation of Higgs boson decay to $$\hbox {b}\bar{\hbox {b}}$$ b b ¯ .

scholarly journals Search for a massive resonance decaying to a pair of Higgs bosons in the four b quark final state in proton–proton collisions at s=13TeV

2018 ◽  
Vol 781 ◽  
pp. 244-269 ◽  
Author(s):  
A.M. Sirunyan ◽  
A. Tumasyan ◽  
W. Adam ◽  
F. Ambrogi ◽  
E. Asilar ◽  
...  
Keyword(s):  
Higgs Bosons ◽  
Final State ◽  
Proton Proton ◽  
Proton Collisions ◽  
B Quark ◽  
Proton Proton Collisions

Implementation of the CMS-HIG-18-011 analysis in the MadAnalysis 5 framework (exotic Higgs decays via two pseudoscalars with two muons and two b-jets; 35.9 fb−1)

2020 ◽  
pp. 2141003
Author(s):  
Joon-Bin Lee ◽  
Jehyun Lee
Keyword(s):  
Higgs Boson ◽  
Center Of Mass ◽  
Final State ◽  
Proton Proton ◽  
Proton Collisions ◽  
Center Of Mass Energy ◽  
Cms Experiment ◽  
The Standard Model ◽  
Proton Proton Collisions ◽  
Selection Of

We present the implementation in the MadAnalysis 5 framework of the CMS-HIG-18-011 search for exotic decays of the Standard Model Higgs boson, in which the Higgs boson is assumed to decay into a pair of light pseudoscalar [Formula: see text], that then further decay into a di-muon and di-[Formula: see text]-jet final state. This analysis considers proton-proton collisions at a center-of-mass energy of 13 TeV and data collected by the CMS experiment in 2016, with an integrated luminosity of 35.9 fb[Formula: see text]. We present a selection of recast predictions, obtained with MadAnalysis 5 and Delphes 3, that include a few differential distributions, yields, and efficiencies. We show that they agree at a level of a few percent with public CMS results.

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