Multivariate techniques for identifying diffractive interactions at the LHC
|
|
- Debra Armstrong
- 5 years ago
- Views:
Transcription
1 Multivariate techniques for identifying diffractive interactions at the LHC Mikael Kuusela,,, Eric Malmi,,, Risto Orava,,, Tommi Vatanen,, Helsinki Institute of Physics University of Helsinki CERN Aalto University DIFFRACTION 2010 International Workshop on Diffraction in High-Energy Physics September 15, / 18
2 Motivation Diffraction is usually identified based on rapidity gaps How to define the characteristics of the gap? Fluctuations in QCD background may create rapidity gaps Low gap survival probability at LHC energies With a multivariate approach, one utilizes the full event topology Figure: Probability of finding a rapidity gap larger than η in a non-diffractive inclusive QCD sample generated with SHERPA using cluster hadronization and p T,cut = 500 MeV. (V.A. Khoze et al., arxiv: ) 2 / 18
3 Multivariate Classification of Diffraction Identify different diffractive event classes using several well-understood low-level variables The use of machine learning algorithms allows for automatic determination of optimal event signatures Two approaches Hard classification: each event is exclusively assigned to a certain class Soft classification: each event belongs with some probability to all the event classes We have performed dedicated feasibility studies of both approaches 3 / 18
4 Hard Classification of Diffraction Classification of a diffractive sample generated with Pythia6 and Phojet at 14 TeV Four event classes: SD, DD, CD, ND ND defined as the Pythia6 low-p T production Use forward and central multiplicity and energy flows Corresponding to the CMS (including FSC) and TOTEM detectors Simulated using a Geant3-based model of the forward region of IP5 by Jerry Lämsä Each event is described using 23 variables No explicit information about the rapidity gap or the leading protons Comparison of three hard classification algorithms Multi-layer perceptron neural networks Gene expression programming Support vector machines 4 / 18
5 Classification Results Table: Confusion matrix for neural network, rows correspond to correct event classes and columns to classification results Predicted Class DD SD CD ND Actual DD SD CD ND Purities / 18
6 Findings Table: Average efficiencies of the different algorithms Method <Efficiency> Gene Expression Programming Support Vector Machine Neural Network All algorithms achieved over 90% average efficiencies Diffraction can be efficiently identified using multiplicity and energy flows No need to explicitly look for rapidity gaps For more details, see Kuusela et al. Multivariate techniques for identifying diffractive interactions at the LHC. International Journal of Modern Physics A, 25(8): , / 18
7 Motivation for Soft Classification There are areas of data space where different classes overlap Hard classification produces inevitable classification errors Take a probabilistic approach Estimate the posterior probabilities p(c i x) of an event x to belong to a certain class C i Posterior probabilities can be used to weigh event contributions to physical observables Soft classification is more consistent with the underlying probabilistic quantum mechanics 7 / 18
8 Details of the Study Use a generator level Pythia6 minimum bias sample at 7 TeV (CMS D6T tune) Four event classes: SDL, SDR, DD, ND ND includes also the hard QCD processes Want to estimate the probabilities p(sdl x), p(sdr x), p(dd x), p(nd x) Variables based on geometrical acceptance of detectors at IP5 Charged particle multiplicities in central tracker, T1 and T2 Energy deposits in central, HF, Castor and ZDC calorimeters p T and invariant mass for charged particles within η < 2.5 Each event described by 24 variables Soft classification with the k nearest neightbours (knn) algorithm Dimensionality reduction with linear discriminant analysis (LDA) Comparison to hard classification with neural networks 8 / 18
9 k Nearest Neighbours Algorithm (knn) The knn algorithm: for each event x 1. Find the k nearest neighbours in the training set 2. Count the number of instances k i from each class C i 3. Estimate the posterior probabilities p(c i x) k i k The error rate is guaranteed to approach the Bayes error rate (optimal error rate for known distributions) for some k Soft classification: use probabilities p(c i x) as weights Hard classification: select class based on the highest probability Figure: Illustration of knn classification. For k = 5, p(blue x) = 3/5 and p(red x) = 2/5. 9 / 18
10 Dimensionality Reduction with Linear Discriminant Analysis (LDA) The performance of the knn classifier descreases with increasing dimensionality d (curse of dimensionality) Reduce dimensionality with mapping z = W T x LDA: choose W to maximize between-class distances and to minimize within-class spreads Figure: Illustration of LDA for two classes (Alpaydin, Intoduction to Machine Learning, 2010) 10 / 18
11 Visualization of the Training Sample 4 2 ND DD SDR SDL LDA LDA1 Figure: A two-dimensional visualization of the training sample after dimensionality reduction using LDA. The DD events overlap with both SD and ND events. 11 / 18
12 Multiplicity (DD) DD Multiplicity Count Classified - Pythia Pythia6 Soft knn (k=16) Hard knn (k=16) Neural Network Pythia6 Soft knn (k=16) Hard knn (k=16) Neural Network η η Figure: Left: Charged particle multiplicity distribution for double diffractive (DD) events. Right: Distributions after subtraction of MC truth. Comparison of soft classification (soft knn) and hard classification (hard knn & neural network). 12 / 18
13 Multiplicity (SDL) SDL Multiplicity Count Pythia6 Soft knn (k=16) Hard knn (k=16) Neural Network Classified - Pythia Pythia6 Soft knn (k=16) Hard knn (k=16) Neural Network η η Figure: Left: Charged particle multiplicity distribution for single diffractive events with the diffractive system on the left side (SDL). Right: Distributions after subtraction of MC truth. Comparison of soft classification (soft knn) and hard classification (hard knn & neural network). 13 / 18
14 Multiplicity (ND) ND Multiplicity Count Classified - Pythia Pythia6 Soft knn (k=16) Hard knn (k=16) Neural Network Pythia6 Soft knn (k=16) Hard knn (k=16) Neural Network η η Figure: Left: Charged particle multiplicity distribution for non-diffractive (ND) events. Right: Distributions after subtraction of MC truth. Comparison of soft classification (soft knn) and hard classification (hard knn & neural network). 14 / 18
15 Relative Event Rates Table: Relative event rates of the different categories. Soft knn is able to estimate the rates with high accuracy. Hard classification overestimates the non-diffractive contribution and underestimates all the diffractive classes. ND DD SDR SDL Pythia Soft knn Hard knn Neural Network / 18
16 Train with Pythia, test with Phojet Table: Confusion matrix for soft knn trained and tested with Pythia Predicted Class ND DD SDR SDL Actual ND DD SDR SDL Table: Confusion matrix for soft knn trained with Pythia and tested with Phojet Predicted Class ND DD SDR SDL Actual ND DD SDR SDL / 18
17 Findings Soft classification is able to accurately reconstruct physical distributions Very accurate estimates for relative cross sections Although a really simple algorithm, knn is able to classify diffraction with great efficiency Little dependence on the selection of k Crucial to use dimensionality reduction More advanced soft classification methods (kernel density estimation, non-linear discriminant analysis) did not seem to give advantage over knn 17 / 18
18 Conclusions Multivariate classification methods are a viable alternative to the rapidity gap method Produce very accurate results Use all the available information in an optimal manner Need to select the traning sample carefully Weighting of events based on soft classification seems to improve measurement of physical observables compared to hard classification A natural way to accommodate the DD events which represent a non-reducible physics background 18 / 18
Diffraction at the LHC
Diffraction at the LHC at the boundary of experiment and theory Mikael Mieskolainen, Risto Orava Helsinki Institute of Physics (HIP), University of Helsinki Diffractive and Electromagnetic processes -
More informationAtlas results on diffraction
Atlas results on diffraction Alessia Bruni INFN Bologna, Italy for the ATLAS collaboration Rencontres du Viet Nam 14th Workshop on Elastic and Diffractive Scattering Qui Nhon, 16/12/2011 EDS 2011 Alessia
More informationSOFT QCD AT ATLAS AND CMS
SAHAL YACOOB UNIVERSITY OF CAPE TOWN ON BEHALF OF THE ATLAS AND CMS COLLABORATIONS SOFT QCD AT ATLAS AND CMS 28th Rencontres de Blois INTRODUCTION IN 15 MINUTES 2 Inelastic cross section ATLAS and CMS
More informationDiffraction and rapidity gap measurements with ATLAS
Diffraction and rapidity gap measurements with On behalf of the Collaboration Institute of Physics, Academy of Sciences of the CR E-mail: vlastimil.kus@cern.ch ATL-PHYS-PROC-04-004 08/0/04 Two diffraction
More informationResults from combined CMS-TOTEM data
Department of Physics Engineering, Hacettepe University, Ankara, Turkey The University of Iowa, Iowa City, USA E-mail: Sercan.Sen@cern.ch The combined data taking of the CMS and TOTEM experiments allows
More informationRecent forward physics and diffraction results from CMS
Recent forward physics and diffraction results from CMS Gabor Veres (CERN) on behalf of the CMS Collaboration ISMD 2015 Conference, Wildbad Kreuth, Germany October 5th, 2015 Outline CMS: forward instrumentation
More informationStatus of diffractive models. Robert Ciesielski [The Rockefeller University]
Status of diffractive models Robert Ciesielski [The Rockefeller University] CTEQ Workshop, QCD tool for LHC Physics: From 8 to 14 TeV, what is needed and why FNAL, 14 November, 2013 1 Main processes contributing
More informationForward QCD studies and prospects at the LHC
Forward QCD studies and prospects at the LHC Pierre.VanMechelen@ua.ac.be (*) INT Workshop on Perturbative and Non-Perturbative Aspects of QCD at Collider Energies 1 Seattle, September 13-18, 2010 (*) As
More informationSome studies for ALICE
Some studies for ALICE Motivations for a p-p programme in ALICE Special features of the ALICE detector Preliminary studies of Physics Performances of ALICE for the measurement of some global properties
More informationPrecision RENORM / MBR Predictions for Diffraction at LHC
Precision RENORM / MBR Predictions for Diffraction at LHC Konstantin Goulianos http://physics.rockefeller.edu/dino/my.html Precision predictions? Wow! 1 Basic and combined diffractive CONTENTS processes
More informationTotal Inelastic Cross Section at LHC. Sara Valentinetti, INFN and Univ. of Bologna (Italy) On behalf of ATLAS and CMS
Total Inelastic Cross Section at LHC Sara Valentinetti, INFN and Univ. of Bologna (Italy) On behalf of ATLAS and CMS LC13 Workshop, ECT*, Villa Tambosi, Villazzano (TN), 16-20 Sep 2013 Outline Introduction
More informationReview of LHCb results on MPI, soft QCD and diffraction
Review of LHCb results on MPI, soft QCD and diffraction Marcin Kucharczyk on behalf of LHCb collaboration HNI Krakow EDS Blois 2015, Borgo (Corse), 30.06.2015 Outline LHCb - general purpose forward experiment
More informationFrigyes Nemes (Eötvös University) on behalf of the TOTEM collaboration
Frigyes Nemes (Eötvös University) on behalf of the TOTEM collaboration http://totem.web.cern.ch/totem/ Hadron Structure'13 2013, 29 June 4 July Hadron Structure'13 6/18/2013 Frigyes Nemes, TOTEM 1 Total
More information(Experimental) Soft Diffraction at LHC. Jan Kašpar. ISMD2017, Tlaxcala, Mexico 15 September, 2017
(Experimental) Soft Diffraction at LHC Jan Kašpar ISMD2017, Tlaxcala, Mexico 15 September, 2017 Introduction selected processes: Elastic scattering p + p p + p Single diffraction p + p p + X Double diffraction
More informationTim Martin - University of Birmingham
Tim Martin - University of Birmingham 1 2 Overview Modeling Inelastic Diffraction Diffractive Events in ATLAS Large Rapidity Gaps Interpreting the Data 3 pp Cross Section Double Diff. Central Exclusive
More informationLHC MPI and underlying event results
LHC MPI and underlying event results Marianna Testa (ATLAS) for the ALICE, ATLAS, CMS & LHCb collaborations SM@LHC 2012, Copenhagen, 10-13 April 2012 The Underlying Event Everything in hadron collisions
More informationParticle spectra in Minimum Bias events at 13TeV
Particle spectra in Minimum Bias events at TeV Juan Manuel Grados Luyando on behalf of the CMS collaboration Deutsches Elektronen-Synchrotron, Hamburg MPI@LHC 05 Trieste, Italy Motivation Probe the different
More informationTransverse momentum and pseudorapidity distributions with minimum bias events in CMS at the LHC
Transverse momentum and pseudorapidity distributions with minimum bias events in CMS at the LHC Christof Roland/ MIT For the CMS Collaboration Rencontres de Moriond QCD Session 14 th March, 2010 Moriond
More informationMBR Monte Carlo Simulation in PYTHIA8
The Rockefeller University, 10 York Avenue, New York, NY 06, USA E-mail: robert.ciesielski@rockefeller.edu Konstantin Goulianos The Rockefeller University, 10 York Avenue, New York, NY 06, USA E-mail:
More informationMini-Bias and Underlying Event Studies at CMS
Yuan Chao Department of Physics National Taiwan University 1617 Taipei, TAIWAN 1 Introduction The Tevatron experiments provide us very good information for the quantum chromodynamics (QCD) modelings of
More informationUnderlying Event Measurements at the LHC
14th EDS Blois Workshop Underlying Event Measurements at the LHC Michael Heinrich for the ATLAS and CMS collaborations INSTITUTE OF EXPERIMENTAL PARTICLE PHYSICS (EKP) PHYSICS FACULTY KIT University of
More informationForward Physics Measurements at the LHC
Forward Physics Measurements at the LHC Helsinki Institute of Physics and University of Helsinki P.O. Box 64, 0004 University of Helsinki, Finland E-mail: risto.orava@helsinki.fi A unique experiment is
More informationMeasurement of diffractive and exclusive processes with the ATLAS detector
EPJ Web of Conferences will be set by the publisher DOI: will be set by the publisher c Owned by the authors, published by EDP Sciences, 15 Measurement of diffractive and exclusive processes with the ALAS
More informationForward Physics at LHC
1 Forward Physics at LHC Risto Orava University of Helsinki and Helsinki Institute of Physics Physics Objectives & Background A Case Study at LHC - ATLAS Detectors for the Forward Spectrometer Planned
More informationRecent CMS results in the forward region with the CASTOR detector. Sebastian Baur for the CMS Collaboration
Recent CMS results in the forward region with the CASTOR detector Sebastian Baur for the CMS Collaboration The Forward Instrumentation of CMS 2 Overview CMS has an excellent calorimetric instrumentation
More informationOctober 4, :33 ws-rv9x6 Book Title main page 1. Chapter 1. Measurement of Minimum Bias Observables with ATLAS
October 4, 2018 3:33 ws-rv9x6 Book Title main page 1 Chapter 1 Measurement of Minimum Bias Observables with ATLAS arxiv:1706.06151v2 [hep-ex] 23 Jun 2017 Jiri Kvita Joint Laboratory for Optics, Palacky
More informationResults and Perspectives in Forward Physics with ATLAS
Nuclear Physics B Proceedings Supplement 00 (2015) 1 9 Nuclear Physics B Proceedings Supplement Results and Perspectives in Forward Physics with ATLAS B. Giacobbe on behalf of the ATLAS Collaboration Istituto
More informationMeasurements of the total and inelastic pp cross section with the ATLAS detector at 8 and 13 TeV
Measurements of the total and inelastic pp cross section with the ATLAS detector at 8 and 13 TeV Motivation Measurements of the total and inelastic cross sections and their energy evolution probe the non-perturbative
More informationRecent results on soft QCD topics from ATLAS
Recent results on soft QCD topics from ATLAS Roman Lysák Institute of Physics, Prague on behalf of the ATLAS collaboration Bormio 2016 Overview Understanding of soft-qcd interactions has direct impact
More informationStudies on the definition of inelastic Non-Single Diffractive events
Studies on the definition of inelastic Non-Single Diffractive events Armando Bermúdez Martínez Instituto Superior de Tecnologías y Ciencias Aplicadas (InSTEC), Havana, Cuba Supervisor: Hannes Jung September,
More informationQCD, diffrac,on and forward physics at the LHC
QCD, diffrac,on and forward physics at the LHC Andrew Pilkington IPPP Durham and Manchester Presented at Diffrac.on 2010, Otranto, Italy, September 2010 Overview 1) Introduc,on to LHC in 2010 2) Review
More informationarxiv: v1 [hep-ex] 5 Mar 2017
Recent CMS Results on Diffraction arxiv:703.0604v [hep-ex] 5 Mar 207 Roland Benoît on behalf of the CMS Collaboration DESY - CMS Notkestrasse 85, 22603 Hamburg Germany Abstract Recent CMS results on diffraction
More informationRecent QCD results from ATLAS
Recent QCD results from ATLAS PASCOS 2013 Vojtech Pleskot Charles University in Prague 21.11.2013 Introduction / Outline Soft QCD: Underlying event in jet events @7TeV (2010 data) Hard double parton interactions
More informationIdentification and rejection of pile-up jets at high pseudorapidity with the ATLAS detector
EUROPEAN ORGANISAION FOR NUCLEAR RESEARCH (CERN) Submitted to: EPJC CERN-EP-207-055 8th May 207 arxiv:705.022v [hep-ex] 5 May 207 Identification and rejection of pile-up s at high pseudorapidity with the
More informationDIFFRACTIVE DIJET PRODUCTION AT CDF. Konstantin Goulianos (for the CDF II Collaboration)
DIFFRACTIVE DIJET PRODUCTION AT CDF Konstantin Goulianos (for the CDF II Collaboration) 1 CONTENTS Introduction / motivation Diffractive dijets Summary 2 STUDIES OF DIFFRACTION IN QCD Non-diffractive color-exchange
More informationRadiation background simulation and verification at the LHC: Examples from the ATLAS experiment and its upgrades
at the LHC: Examples from the ATLAS experiment and its upgrades On behalf of the ATLAS Inner Detector University of Sheffield E-mail: Ian.Dawson@cern.ch The high collision rates at the new energy and luminosity
More informationTotal, elastic and inelastic p-p cross sections at the LHC
Total, elastic and inelastic p-p cross sections at the LHC Tomáš Sýkora, Charles University in Prague on behalf of the ATLAS, CMS, LHCb and TOTEM collaborations ICHEP 2016, August 3-10, 2016, Chicago outline
More informationCharmonium production versus multiplicity in PYTHIA8
Hard-Soft correlations in hadronic collisions Steffen Weber Charmonium production versus multiplicity in PYTHIA8 Hard-Soft correlations in hadronic collisions Clermont-Ferrand July 23, 2018 Steffen Weber
More informationJános Sziklai. WIGNER RCP On behalf of the TOTEM Collaboration:
Elastic scattering, total cross-section and charged particle pseudorapidity density in 7 TeV pp reactions measured by the TOTEM Experiment at the LHC János Sziklai WIGNER RCP On behalf of the TOTEM Collaboration:
More informationTotal pp cross section measurements at 2, 7, 8 and 57 TeV
Total pp cross section measurements at 2, 7, 8 and 57 TeV A) One (out of several) theoretical framework B) Topologies of events in σ tot C) Direct measurement of σ inel : 1) cosmic-ray experiments 2) collider
More informationarxiv: v1 [hep-ex] 24 Oct 2017
Production of electroweak bosons in association with jets with the ATLAS detector arxiv:1710.08857v1 [hep-ex] 24 Oct 2017 S. Spagnolo on behalf of the ATLAS Collaboration INFN Lecce and Dip. di Matematica
More informationQCD Studies at LHC with the Atlas detector
QCD Studies at LHC with the Atlas detector Introduction Sebastian Eckweiler - University of Mainz (on behalf of the ATLAS Collaboration) Examples of QCD studies Minimum bias & underlying event Jet-physics
More informationRecent forward physics and diffraction results from CMS
EPJ Web of Conferences will be set by the publisher DOI: will be set by the publisher c Owned by the authors, published by EDP Sciences, 6 Recent forward physics and diffraction results from Gábor Veres
More informationReconstruction and identification of hadronic τ decays with ATLAS
Reconstruction and Identification of Hadronic τ Decays with ATLAS Wolfgang F. Mader 1 1 Institut für Kern- und Teilchenphysik TU Dresden DPG Frühjahrstagung München, March 2009 Outline 1 Introduction 2
More informationDIFFRACTION AT THE LHC
DIFFRACTION AT THE LHC Risto Orava University of Helsinki, Helsinki Institute of Physics, CERN XV Mexican Workshop on Particles and Fields November 5th 2015 1 THE PLAN PART 1: WHAT DIFFRACTION? SIGNATURES
More informationLavinia-Elena Giubega
Lavinia-Elena Giubega *on behalf of LHCb collaboration Horia Hulubei National Institute for Physics and Nuclear Engineering (IFIN-HH), Bucharest, Romania Beach 2018 - XIII International Conference on Beauty,
More informationDiffraction Physics at LHCb
Diffraction Physics at LHCb Michael Schmelling LHCb / MPI for Nuclear Physics The LHCb Experiment Energy Flow Central Exclusive Production New Developments Summary Diffraction Physis at LHCb M. Schmelling,
More informationJet Reconstruction and Energy Scale Determination in ATLAS
Jet Reconstruction and Energy Scale Determination in ATLAS Ariel Schwartzman 3 rd Top Workshop: from the Tevatron to ATLAS Grenoble, 23-Oct-2008 1 Outline ATLAS Calorimeters Calorimeter signal reconstruction:
More informationParticle Flow Algorithms
Particle Flow Algorithms Daniel Jeans, KEK IAS Program on High Energy Physics HKUST Hong Kong January, 2018 introduction and motivation bias towards e+ e- collisions general features of detectors and reconstruction
More informationLow mass diffraction at ATLAS-LHCf
Low mass diffraction at ATLAS-LHCf Qi-Dong hou Nagoya University (JP) France-Japan SAKURA Workshop on small-x physics at the LHC 6..9 Outline Diffractive dissociation A MC study about contribution of diffractive
More informationTESTING THE STANDARD MODEL IN THE FORWARD REGION AT THE LHC
TESTING THE STANDARD MODEL IN THE FORWARD REGION AT THE LHC Ronan McNulty (UCD Dublin) Irish Quantum Foundations, Castletown House, 3,4 th May 2013 Ronan McNulty, Irish Quantum Foundations 2 Outline Theory:
More informationQCD at CDF. Régis Lefèvre IFAE Barcelona On behalf of the CDF Collaboration
QCD at CDF Régis Lefèvre IFAE Barcelona On behalf of the CDF Collaboration Jet Inclusive Cross-Section Underlying event studies Jet Shapes Specific processes _ W+Jets, γ + γ, γ + b/c, b-jet / bb jet Diffraction
More informationRecent Jet Results from the CMS experiment
Recent Jet Results from the CMS experiment Raghav Kunnawalkam Elayavalli ( USA) Nuclear Seminar Monday, February 2nd, 2015 1 Overview https://twiki.cern.ch/twiki/bin/view/cmspublic/ PhysicsResultsHIN Motivations
More informationMeasurements of Proton-Proton Elastic Scattering and Total Cross-Section at the LHC by TOTEM Diffraction 2012 Lanzarote, 15 September
Measurements of Proton-Proton Elastic Scattering and Total Cross-Section at the LHC by TOTEM Diffraction 2012 Lanzarote, 15 September Mario Deile on behalf of the TOTEM Collaboration p. 1 Experimental
More informationMeasurement of the associated production of direct photons and jets with the Atlas experiment at LHC. Michele Cascella
Measurement of the associated production of direct photons and jets with the Atlas experiment at LHC Michele Cascella Graduate Course in Physics University of Pisa The School of Graduate Studies in Basic
More informationLuminosity measurement and K-short production with first LHCb data. Sophie Redford University of Oxford for the LHCb collaboration
Luminosity measurement and K-short production with first LHCb data Sophie Redford University of Oxford for the LHCb collaboration 1 Introduction Measurement of the prompt Ks production Using data collected
More informationAdvanced statistical methods for data analysis Lecture 1
Advanced statistical methods for data analysis Lecture 1 RHUL Physics www.pp.rhul.ac.uk/~cowan Universität Mainz Klausurtagung des GK Eichtheorien exp. Tests... Bullay/Mosel 15 17 September, 2008 1 Outline
More informationMBR Monte Carlo Simulation in PYTHIA8
MBR Monte Carlo Simulation in PYTHIA8 Robert Ciesielski, Konstantin Goulianos The Rockefeller University, 130 York Avenue, New York, NY 10065, USA E-mail: robert.ciesielski@rockefeller.edu, dino@rockefeller.edu
More informationJet reconstruction with first data in ATLAS
University of Victoria, Victoria, BC, Canada E-mail: damir.lelas@cern.ch The algorithms used for jet reconstruction in ATLAS are presented. General performance aspects like jet signal linearity and the
More informationReconstruction in Collider Experiments (Part IX)
Introduction to Hadronic Final State Reconstruction in Collider Experiments Introduction to Hadronic Final State Reconstruction in Collider Experiments (Part IX) Peter Loch University of Arizona Tucson,
More informationMeasurement of charged particle spectra in pp collisions at CMS
Measurement of arged particle spectra in pp collisions at CMS for the CMS Collaboration Eötvös Loránd University, Budapest, Hungary E-mail: krisztian.krajczar@cern. We present the plans of the CMS collaboration
More informationSGN (4 cr) Chapter 5
SGN-41006 (4 cr) Chapter 5 Linear Discriminant Analysis Jussi Tohka & Jari Niemi Department of Signal Processing Tampere University of Technology January 21, 2014 J. Tohka & J. Niemi (TUT-SGN) SGN-41006
More informationPattern Recognition and Machine Learning
Christopher M. Bishop Pattern Recognition and Machine Learning ÖSpri inger Contents Preface Mathematical notation Contents vii xi xiii 1 Introduction 1 1.1 Example: Polynomial Curve Fitting 4 1.2 Probability
More informationMassimo Venaruzzo for the ALICE Collaboration INFN and University of Trieste
Massimo Venaruzzo for the ALICE Collaboration INFN and University of Trieste 16 th International Conference in Quantum Chromo-Dynamics (QCD 2012) Montpellier (2-6 July 2012) Outline Resonances in pp collisions:
More informationQCD at the Tevatron: The Production of Jets & Photons plus Jets
QCD at the Tevatron: The Production of Jets & Photons plus Jets Mike Strauss The University of Oklahoma The Oklahoma Center for High Energy Physics for the CDF and DØD Collaborations APS 2009 Denver, Colorado
More informationMeasurements of Particle Production in pp-collisions in the Forward Region at the LHC
2011 Europhysics Conference on High-Energy Physics, Grenoble Measurements of Particle Production in pp-collisions in the Forward Region at the LHC Thomas Ruf for the LHCb collaboration Introduction Particle
More informationThe rejection of background to the H γγ process using isolation criteria based on information from the electromagnetic calorimeter and tracker.
Available on CMS information server CMS NOTE 22/3 The Compact Muon Solenoid Experiment CMS Note Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland September 9, 22 The rejection of background to
More informationRecent DØ results in Diffractive and Jet Physics
Recent DØ results in Diffractive and Jet Physics * Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510 E-mail: odell@fnal.gov DØ measurements of the inclusive jet cross section and the
More informationMeasurement of jet production in association with a Z boson at the LHC & Jet energy correction & calibration at HLT in CMS
Measurement of jet production in association with a Z boson at the LHC & Jet energy correction & calibration at HLT in CMS Fengwangdong Zhang Peking University (PKU) & Université Libre de Bruxelles (ULB)
More informationPoS(DIS 2013)083. New Results on Diffractive and Exclusive Production from CDF
New Results on Diffractive and Exclusive Production from CDF The Rockefeller University E-mail: dino@rockefeller.edu We present results on central exclusive production of + in pp collisions at s = 9 and
More informationMulti-jet production and jet correlations at CMS
Multi-jet production and jet correlations at Gábor I. Veres on behalf of the Collaboration CERN E-mail: gabor.veres@cern.ch Hadronic jet production at the LHC is an excellent testing ground for QCD. Essential
More informationJet quenching in PbPb collisions in CMS
Jet quenching in PbPb collisions in CMS Bolek Wyslouch École Polytechnique Massachusetts Institute of Technology arxiv:1102.1957 Orsay, February 18, 2011 1 Heavy Ions at the LHC Huge energy jump from RHIC:
More informationPre-Processing and Re-Weighting Jet Images with Different Substructure Variables
Pre-Processing and Re-Weighting Jet Images with Different Substructure Variables Lynn Huynh University of California, Davis Department of Mechanical Engineering CERN Work Project Report CERN, ATLAS, Jet
More informationReport from the LHC Forward Physics Working Group 2014, Kraków
Report from the LHC Forward Physics Working Group MPI@LHC 2014, Kraków Tim Martin On behalf of the LHC Forward Physics Working Group University of Warwick November 5, 2014 Introduction Understanding of
More informationMeasurement of photon production cross sections also in association with jets with the ATLAS detector
Nuclear and Particle Physics Proceedings 00 (07) 6 Nuclear and Particle Physics Proceedings Measurement of photon production cross sections also in association with jets with the detector Sebastien Prince
More informationThe ATLAS Detector at the LHC
The ATLAS Detector at the LHC Results from the New Energy Frontier Cristina Oropeza Barrera Experimental Particle Physics University of Glasgow Somewhere near the Swiss Alps... A Toroidal LHC ApparatuS
More informationQuark-gluon tagging in the forward region of ATLAS at the LHC.
CS229. Fall 2016. Final Project Report. Quark-gluon tagging in the forward region of ATLAS at the LHC. Rob Mina (robmina), Randy White (whiteran) December 15, 2016 1 Introduction In modern hadron colliders,
More informationTop production measurements using the ATLAS detector at the LHC
Top production measurements using the ATLAS detector at the LHC INFN, Sezione di Bologna and University of Bologna E-mail: romano@bo.infn.it This paper is an overview of recent results on top-quark production
More informationRENORM Tensor-Pomeron Diffractive Predictions K. Goulianos
RENORM Tensor-Pomeron Diffractive Predictions Konstantin Goulianos The Rockefeller University (Dino) http://physics.rockefeller.edu/dino/my.html thanks to Tran & Kim! photo credit: Emmanuelle Tran 1 Basic
More informationarxiv: v1 [hep-ex] 21 Aug 2011
arxiv:18.155v1 [hep-ex] 1 Aug 011 Early Searches with Jets with the ATLAS Detector at the LHC University of Chicago, Enrico Fermi Institute E-mail: georgios.choudalakis@cern.ch We summarize the analysis
More informationJet Results in pp and Pb-Pb Collisions at ALICE
Jet Results in pp and Pb-Pb Collisions at ALICE Oliver Busch for the ALICE Collaboration Motivation Jet reconstruction in ALICE Jets in pp Jets in Pb-Pb Hadron triggered recoil jets Motivation Jets originate
More informationPoS(IHEP-LHC-2011)008
in pp collisions at the LHC Sergei Lobanov Joint Institute for Nuclear Research, Dubna, Russian Federation E-mail: Sergey.Lobanov@cern.ch Artem Maevskiy M.V. Lomonosov Moscow State University, Russian
More informationDouble parton scattering studies in CMS
CBPF-Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil E-mail: gilvan@cern.ch he double parton scattering (DPS) process in proton-proton collisions at a center-of-mass energy of 7 and 3 ev
More informationImaging the Proton via Hard Exclusive Production in Diffractive pp Scattering
Exclusive Reactions at High Momentum Transfer Jefferson Lab, Newport News, VA May 21-24, 2007 Imaging the Proton via Hard Exclusive Production in Diffractive pp Scattering Charles Earl Hyde Old Dominion
More informationRENORM Tensor-Pomeron Diffractive Predictions. Konstantin Goulianos
RENORM Tensor-Pomeron Diffractive Predictions Konstantin Goulianos The Rockefeller University (Dino) http://physics.rockefeller.edu/dino/my.html thanks to Tran & Kim! photo credit: Emmanuelle Tran Moriond
More informationMeasurement of muon tagged open heavy flavor production in Pb+Pb collisions at 2.76 TeV with ATLAS
Measurement of muon tagged open heavy flavor production in Pb+Pb collisions at 2.76 TeV with Dennis V. Perepelitsa Columbia University for the Collaboration Quark Matter 2012 Parallel 7A Washington, D.C.,
More informationCharacterization of Jet Charge at the LHC
Characterization of Jet Charge at the LHC Thomas Dylan Rueter, Krishna Soni Abstract The Large Hadron Collider (LHC) produces a staggering amount of data - about 30 petabytes annually. One of the largest
More informationQCD and jets physics at the LHC with CMS during the first year of data taking. Pavel Demin UCL/FYNU Louvain-la-Neuve
QCD and jets physics at the LHC with CMS during the first year of data taking Pavel Demin UCL/FYNU Louvain-la-Neuve February 8, 2006 Bon appétit! February 8, 2006 Pavel Demin UCL/FYNU 1 Why this seminar?
More informationQCD Studies with CMS at LHC. Gunther Roland for the Collaboration
QCD Studies with CMS at LHC Gunther Roland for the Collaboration INT Seattle 5/24/2010 First 7 TeV Collisions: March 30th 2010 2 QCD Studies with CMS pp integrated luminosity ~ 10nb -1 n.b. rates for LHC
More informationMeasurement of multi-jet cross sections in proton proton collisions at a 7 TeV center-of-mass energy
Eur. Phys. J. C (2011) 71:1763 DOI 10.1140/epjc/s10052-011-1763-6 Regular Article - Experimental Physics Measurement of multi-jet cross sections in proton proton collisions at a 7 TeV center-of-mass energy
More informationHow to Measure Top Quark Mass with CMS Detector??? Ijaz Ahmed Comsats Institute of Information Technology, Islamabad
How to Measure Top Quark Mass with CMS Detector??? Ijaz Ahmed Comsats Institute of Information Technology, Islamabad Outlines o o o o o o o High Pt top basic idea Methods for jets selection Top quark mass
More informationPrecision RENORM Tensor-Pomeron Cross Sections K. Goulianos
Precision RENORM Tensor-Pomeron Cross Sections Konstantin Goulianos The Rockefeller University http://physics.rockefeller.edu/dino/my.html 5 th International Conference on New Frontiers in Physics ICNFP2016
More informationMuon reconstruction performance in ATLAS at Run-2
2 Muon reconstruction performance in ATLAS at Run-2 Hannah Herde on behalf of the ATLAS Collaboration Brandeis University (US) E-mail: hannah.herde@cern.ch ATL-PHYS-PROC-205-2 5 October 205 The ATLAS muon
More informationMeasurement of t-channel single top quark production in pp collisions
Measurement of t-channel single top quark production in pp collisions (on behalf of the CMS collaboration) INFN-Napoli & Università della Basilicata E-mail: Francesco.Fabozzi@cern.ch Measurements of t-channel
More informationDouble Parton Scattering in CMS. Deniz SUNAR CERCI Adiyaman University On behalf of the CMS Collaboration Low-x th June 2017 Bari, Italy
Double Parton Scattering in CMS Deniz SUNAR CERCI Adiyaman University On behalf of the CMS Collaboration Low-x 2017 17th June 2017 Bari, Italy Outline Introduction to DPS DPS measurements with CMS 2b +
More informationATLAS jet and missing energy reconstruction, calibration and performance in LHC Run-2
Prepared for submission to JINS International Conference on Instrumentation for Colliding Beam Physics 7 February - March, 7 Budker Institute of Nuclear Physics, Novosibirsk, Russia ALAS jet and missing
More informationTevatron Energy Scan. Energy Dependence of the Underlying Event. Rick Field Craig Group & David Wilson University of Florida
Rick Field Craig Group & David Wilson University of Florida Tevatron Energy Scan Energy Dependence of the Underlying Event Outline of Talk Wine & Cheese talk, October 4, 2002. Studying the underlying event
More informationHard And Soft QCD Physics In ATLAS
Hard And Soft QCD Physics In ALAS Stefanie Adomeit on behalf of the ALAS collaboration International Conference on New Frontiers in Physics - Crete, June -6, QCD Measurements in ALAS at LHC every kind
More informationMin-Bias Data: Jet Evolution and Event Shapes
Min-Bias Data: Jet Evolution and Event Shapes Rick Field and David Stuart July 1, 1999 Abstract The Min-Bias data are used to study the transition between soft and hard collisions. We study this transition
More informationFuture prospects for the measurement of direct photons at the LHC
Future prospects for the measurement of direct photons at the LHC David Joffe on behalf of the and CMS Collaborations Southern Methodist University Department of Physics, 75275 Dallas, Texas, USA DOI:
More information