Introduction to Analysis Example tutorial D. Greenwood For P. Skubic 8/21-22/20141ASP2014 Grid School.

Slides:



Advertisements
Similar presentations
First results from the ATLAS experiment at the LHC
Advertisements

FAWP Fast Analysis With Pythia These notes will be updated as FAWP evolves Current version:
Alessandro Fois Detection of  particles in B meson decay.
STAR Software Walk-Through. Doing analysis in a large collaboration: Overview The experiment: – Collider runs for many weeks every year. – A lot of data.
US The simple user’s interface for ROOT tree analysis N. Terentiev (Carnegie Mellon University) Fermilab Dec.14, 2004.
Jan 17, 2007 Measuring Mass Difference using soft τ P T Slope 1 Measuring Mass Difference at LHC using soft τ P T Slope Alfredo Gurrola in collaboration.
14 User Documents and Examples I SLAC Geant4 Tutorial 3 November 2009 Dennis Wright Geant4 V9.2.p02.
A simulation study of the rapidity distributions of leptons from W boson decays at ATLAS Laura Gilbert.
1 BaBar Collaboration Randall Sobie Institute for Particle Physics University of Victoria.
05/11/2006Prof. dr hab. Elżbieta Richter-Wąs Physics Program of the experiments at L arge H adron C ollider Lecture 5.
17-19 Oct, 2007Geant4 Japan Oct, 2007Geant4 Japan Oct, 2007Geant4 Japan 2007 Geant4 Japan.
ROOT An object oriented HEP analysis framework.. Computing in Physics Physics = experimental science =>Experiments (e.g. at CERN) Planning phase Physics.
CFT Offline Monitoring Michael Friedman. Contents Procedure  About the executable  Notes on how to run Results  What output there is and how to access.
I have made the second half of the poster, first half which is made by tarak will have neutrino information. A patch between the two, telling why we do.
Introduction to Hall-D Software February 27, 2009 David Lawrence - JLab.
Gamma calorimeter for R3B: first simulation results INDEX ● The calGamma Geant4 simulation ( a short introduction ) ● Crystal and geometry selection: –
R 3 B Gamma Calorimeter Agenda. ● Introduction ● Short presentation on the first ● Task definition for R&D period ( )
Introduction to Analysis Example tutorial P. Skubic 8/6-8/20121ASP2012 Grid School.
10/2/2015C.Kourkoumelis,UoA1 WP3 Educational and Outreach Portal C. Kourkoumelis, UoA.
CMS Data Analysis Patrick Mooney Trinity School South Bend, IN Jill Ziegler Hamilton High West Hamilton, NJ Megan Gillian La Lumiere School LaPorte, IN.
User Documents and Examples I Sébastien Incerti Slides thanks to Dennis Wrigth, SLAC.
Implementing a dual readout calorimeter in SLIC and testing Geant4 Physics Hans Wenzel Fermilab Friday, 2 nd October 2009 ALCPG 2009.
Event View G. Watts (UW) O. Harris (UW). Philosophy EventView Goals Object Identification & Interpretation Is that a jet or an electron? Is that jet a.
1 A Preliminary Model Independent Study of the Reaction pp  qqWW  qq ℓ qq at CMS  Gianluca CERMINARA (SUMMER STUDENT)  MUON group.
G.Corti, P.Robbe LHCb Software Week - 19 June 2009 FSR in Gauss: Generator’s statistics - What type of object is going in the FSR ? - How are the objects.
10/31/2015PHYS 3446 DØ Data Analysis with ROOT Venkat (for Dr.Yu)
Minerva, Feb 9, 2011Monika Wielers (RAL)1 Minerva Abreviation for Masterclass INvolving Event Recognition Visualised with Atlantis developed and 1 st used.
STAR Software Walk-Through. Doing analysis in a large collaboration: Overview The experiment: – Collider runs for many weeks every year. – A lot of data.
Alexander Richards, UCL 1 Atlfast and RTT (plus DCube) Christmas Meeting 18/12/2007.
9-13/9/03 Atlas Overview WeekPeter Sherwood 1 Atlfast, Artemis and Atlantis What, Where and How.
CEBAF The Continuous Electron Beam Accelerating Facility(CEBAF) is the central particle accelerator at JLab. CEBAF is capable of producing electron beams.
LHC Physics Analysis and Databases or: “How to discover the Higgs Boson inside a database” Maaike Limper.
David Adams ATLAS DIAL: Distributed Interactive Analysis of Large datasets David Adams BNL August 5, 2002 BNL OMEGA talk.
Top mass error predictions with variable JES for projected luminosities Joshua Qualls Centre College Mentor: Michael Wang.
Experience with CalcHEP H. S. Goh Univ. of Arizona very little West Coast LHC Theory Network -- UC Irvine May
Recap (Just in case you missed it the first time) Z˚ boson Production  By using detectors we are able to observe and analyze the particles being produced.
Update on WH to 3 lepton Analysis And Electron Trigger Efficiencies with Tag And Probe Nishu 1, Suman B. Beri 1, Guillelmo Gomez Ceballos 2 1 Panjab University,
Update G4builder issues Talk written almost entirely by Stan Bentvelsen with a few updates from Christopher Lester ATLAS G4 Workshop December 2000 CAMBRIDGE.
INFSO-RI Enabling Grids for E-sciencE Using of GANGA interface for Athena applications A. Zalite / PNPI.
4/12/05 -Xiaojian Zhang, 1 UIUC paper review Introduction to Bc Event selection The blind analysis The final result The systematic error.
ATLAS Z-Path Masterclass Masterclass Analysis Intro.
Analysis experience at GSIAF Marian Ivanov. HEP data analysis ● Typical HEP data analysis (physic analysis, calibration, alignment) and any statistical.
HI July Exercise and Muon DQM preparation Mihee Jo Mihee Jo / Lab meeting.
Study of B s         Supreet Pal Singh Prof. Kajari Mazumdar Prof. J.B.Singh 1India-CMS Meeting 27th-28th.
Z & W Boson Reconstruction with Monte Carlo Simulations and ATLAS DATA Adam Lowery Supervisor: Dr. Jonas Strandberg Wednesday, August 11, 2010.
H Y P A T I A HYbrid Pupil’s Analysis Tool for Interactions in Atlas
M. Brooks, 28-Mar-02 Heavy/Light meeting 1 Muon Analysis Work Getting Code ready for first data pass - DONE Get ready for second pass on DSTs - muon identification.
CMS Masterclass It’s a time of exciting new discoveries in particle physics! At CERN, the LHC succesfully completed Run I at 8 TeV of collision.
David Adams ATLAS ADA: ATLAS Distributed Analysis David Adams BNL December 15, 2003 PPDG Collaboration Meeting LBL.
Testing Physics Examine at D0 FNAL/Univ. of Illinois Soojin Kwon Advisor: Pushpa Bhat (FNAL) 3 July 2002.
SEARCH FOR DIRECT PRODUCTION OF SUPERSYMMETRIC PAIRS OF TOP QUARKS AT √ S = 8 TEV, WITH ONE LEPTON IN THE FINAL STATE. Juan Pablo Gómez Cardona PhD Candidate.
Geant4 GRID production Sangwan Kim, Vu Trong Hieu, AD At KISTI.
Progress on Simulation Software Hai-Ping Peng(USTC) Xiao-Shuai Qin(IHEP) Xiao-Rong Zhou(USTC) Yu Hu(IHEP) 2014 STC Workshop (ITP) Hai-Ping Peng.
Introduction to Particle Physics II Sinéad Farrington 19 th February 2015.
MAUS Status A. Dobbs CM43 29 th October Contents MAUS Overview Infrastructure Geometry and CDB Detector Updates CKOV EMR KL TOF Tracker Global Tracking.
Grid development at University of Manchester Hardware architecture: - 1 Computer Element and 10 Work nodes Software architecture: - EasyGrid to submit.
Starting Analysis with Athena (Esteban Fullana Torregrosa) Rik Yoshida High Energy Physics Division Argonne National Laboratory.
HYDRA Framework. Setup of software environment Setup of software environment Using the documentation Using the documentation How to compile a program.
Some Odds and Ends About Computational Infrastructure Kyle Gross – Operations Support Manager - Open Science Grid Research Technologies.
Workshop Geant4 Presentation September 14 th, 2007 FASTRAD V3.
MINERVA Z Mass Exercise
Tree based validation tool for track reconstruction
Overview: high-energy computing
Introduction to Analysis Example Tutorial
MET Experience at UF Bobby Scurlock University of Florida
Cadet Lieutenant Amanda Fort USMA Class of 2009 From Stratham, NH
User Documents and Examples I
Data Analysis in Particle Physics
CLAS Simulations for the E5 Data Set
Analyzing CLAS12 Data David Payette.
Presentation transcript:

Introduction to Analysis Example tutorial D. Greenwood For P. Skubic 8/21-22/20141ASP2014 Grid School

Who we are We are DOSAR: Distributed Organization for Scientific and Academic Research You are welcome to join our bi-weekly video (Vidyo) meetings. Send request to be added to DOSAR list to Prof. Greenwood: If you want long-term grid access, you can request membership in the DOSAR VO 8/21-22/20142ASP2014 Grid School

Typical data analysis steps in particle physics Step 1: create files containing simulated data Step 2: analyze simulated data Step 3: collect real data from detector Step 4: analyze real data Step 5: compare simulation with real data – If there is good agreement, limits can be set on existence of new physical states (i.e. particles) – If there is disagreement, further study is needed Possible mistake? Possible new discovery? We will illustrate steps 1, 2 and 4 today 8/21-22/20143ASP2014 Grid School

Notes In particle physics software tools such Madgraph or Isajet (event generators) and GEANT (to simulate our detector response) are used in Step 1 – We will use a simple random generator of Gaussian distribution in Root Typically (almost) the same reconstruction software is used for Step 4 and Step 2 Root is a powerful tool to read and analyze large amounts of data 8/21-22/20144ASP2014 Grid School

Root Documentation Web page: It is useful to click on: Documentation and then select: Reference Guide From there you can look at the documentation and source code for all the Root classes in any version of Root 8/21-22/2014ASP2014 Grid School5

Condor submission script universe=grid grid_resource=gt2 osgitb1.nhn.ou.edu/jobmanager-condor executable=run-root.sh transfer_input_files = run-root.C transfer_executable=True when_to_transfer_output = ON_EXIT log=run-root.log transfer_output_files = root.out,t00.root,t01.root output=run-root.out.$(Cluster).$(Process) error=run-root.err.$(Cluster).$(Process) notification=Never queue 8/21-22/20146ASP2014 Grid School

Step 1: Create simulated data by running Root on the Grid Contents of execution script: run-root.sh #!/bin/bash /usr/local/bin/root -b root.out This command executes Root in batch mode using macro run-root.C and routes output to file root.out 8/21-22/20147ASP2014 Grid School

Step 1: Create simulated data by running Root with macro run-root.C Create TFile 0 for “run 0” (t00.root) Create TTree object (“t0”) to store data in Root – Generate 100 “events” each with Gaussian distributed “Energy” – Fill TTree branches for each event Write TFile 0 Close TFile 0 Repeat above steps to create TFile 1 for “run 1” (t01.root) 8/21-22/20148ASP2014 Grid School

Step 2: Analyze real data on the grid and with Root First we will run a Root macro to read di-muon events and fill a Ttree with associated variables such as energy and transverse momentum The macro also determines the invariant mass of the muon pairs. Finally, we will examine the invariant mass with a Root TBrowser to determine the Zpeak masss 8/21-22/2014ASP2014 Grid School9

readEvents.C Macro from Heather to calculate the invariant mass of the first muon pair in each event and then plot the invariant mass in a histogram. Only looks at events which contain at least two muons where both muons have transverse momentum, pt >20 GeV. The two selected muons have opposite charge. 8/21-22/2014ASP2014 Grid School10

Z-boson Plot A Z-boson is particle that only lives for a very short time before decaying. We can observe a Z-boson by looking at its decay products. The decay modes of the Z are here gauge-higgs-bosons.pdf It decays to two muons and two electrons 3.4% of the time. 8/21-22/2014ASP2014 Grid School11

Determination of the Z boson mass readEvents.C uses the following: – The TLorentzVector class ( is very powerful. – If you have two particles and want to know the properties of the particle which produced them, you can simply add them together: – TLorentzVector Particle1; – TLorentzVector Particle 2; – // set up the properties of particle 1 and particle 2 – TLorentzVector MotherParticle = Particle1 + Particle2; 8/21-22/2014ASP2014 Grid School12

More Information ROOT website: Intro to ROOT: Tutorials: Invariant mass: P1_4.pdf Reference guide for all classes: ATLAS Z cross-section: 8/21-22/2014ASP2014 Grid School13

Step 3: make TSelector TFile f("t00.root"); //open file t0.MakeSelector("s0"); //create TSelector “s0” f.Close(); //close file This creates two files with code: s0.C and s0.h We will modify these files to add a histogram of the Energy variable and use them to process the simulated data on the Grid 8/21-22/201414ASP2014 Grid School

Conclusion After completing Steps you are in principle ready to scale up and make TTree’s with hundreds of variables and create and analyze thousands of files If time permits you can try adding your own features to the existing example by adding variables and histograms, etc. Good luck and have fun!! 8/21-22/201415ASP2014 Grid School