Simulation Work at Nevis Jovan Mitrevski Columbia University DØ Workshop July 10, 2002.

Slides:



Advertisements
Similar presentations
Freiburg Seminar, Sept Sascha Caron Finding the Higgs or something else ideas to improve the discovery ideas to improve the discovery potential at.
Advertisements

Tracey Berry1 Looking into e &  for high energy e/  Dr Tracey Berry Royal Holloway.
1 The ATLAS Missing E T trigger Pierre-Hugues Beauchemin University of Oxford On behalf of the ATLAS Collaboration Pierre-Hugues Beauchemin University.
Digital Filtering Performance in the ATLAS Level-1 Calorimeter Trigger David Hadley on behalf of the ATLAS Collaboration.
INTRODUCTION TO e/ ɣ IN ATLAS In order to acquire the full physics potential of the LHC, the ATLAS electromagnetic calorimeter must be able to identify.
The Silicon Track Trigger (STT) at DØ Beauty 2005 in Assisi, June 2005 Sascha Caron for the DØ collaboration Tag beauty fast …
Alessandro Fois Detection of  particles in B meson decay.
1 N. Davidson E/p single hadron energy scale check with minimum bias events Jet Note 8 Meeting 15 th May 2007.
Recent Electroweak Results from the Tevatron Weak Interactions and Neutrinos Workshop Delphi, Greece, 6-11 June, 2005 Dhiman Chakraborty Northern Illinois.
Top Turns Ten March 2 nd, Measurement of the Top Quark Mass The Low Bias Template Method using Lepton + jets events Kevin Black, Meenakshi Narain.
Kevin Black Meenakshi Narain Boston University
M. Kowalski Search for Neutrino-Induced Cascades in AMANDA II Marek Kowalski DESY-Zeuthen Workshop on Ultra High Energy Neutrino Telescopes Chiba,
Imposing Thresholds on TTs Jovan Mitrevski Columbia University DØ Run 2b L1Cal Group Meeting 12 Dec 2002.
Status of  b Scan Jianchun Wang Syracuse University Representing L b scanners CLEO Meeting 05/11/02.
Saclay, 04 / 11 / 2002 E. Perez 1 Simulation of the performances of the upgraded L1Cal  Short reminder  Performances (jets) (see Jovan’s talk for electron.
New Run IIb L1Cal EM Algorithm Greg Pawloski Rice University Run IIb L1Cal Meeting May 31, 2005.
1 Hadronic In-Situ Calibration of the ATLAS Detector N. Davidson The University of Melbourne.
1 Andrea Bangert, ATLAS SCT Meeting, Monte Carlo Studies Of Top Quark Pair Production Andrea Bangert, Max Planck Institute of Physics, CSC T6.
Real Time 2010Monika Wielers (RAL)1 ATLAS e/  /  /jet/E T miss High Level Trigger Algorithms Performance with first LHC collisions Monika Wielers (RAL)
1 N. Davidson, E. Barberio E/p single hadron energy scale check with minimum bias event Hadronic Calibration Workshop 26 th -27 th April 2007.
H  FTK update Catalin, Tony FTK meeting, 9/7/2006.
1 N. Davidson Calibration with low energy single pions Tau Working Group Meeting 23 rd July 2007.
A Comparison of Three-jet Events in p Collisions to Predictions from a NLO QCD Calculation Sally Seidel QCD’04 July 2004.
February 19th 2009AlbaNova Instrumentation Seminar1 Christian Bohm Instrumentation Physics, SU Upgrading the ATLAS detector Overview Motivation The current.
1 The Study of D and B Meson Semi- leptonic Decay Contributions to the Non-photonic Electrons Xiaoyan Lin CCNU, China/UCLA for the STAR Collaboration 22.
Measurement of Inclusive Jet cross section Miroslav Kop á l University of Oklahoma on behalf of the D Ø collaboration DIS 2004, Štrbské pleso, Slovakia.
Tau Jet Identification in Charged Higgs Search Monoranjan Guchait TIFR, Mumbai India-CMS collaboration meeting th March,2009 University of Delhi.
Energy Flow and Jet Calibration Mark Hodgkinson Artemis Meeting 27 September 2007 Contains work by R.Duxfield,P.Hodgson, M.Hodgkinson,D.Tovey.
Preliminary comparison of ATLAS Combined test-beam data with G4: pions in calorimetric system Andrea Dotti, Per Johansson Physics Validation of LHC Simulation.
Energy Flow Technique and *where I am Lily Have been looking at the technique developed by Mark Hodgkinson, Rob Duxfield of Sheffield. Here is a summary.
W properties AT CDF J. E. Garcia INFN Pisa. Outline Corfu Summer Institute Corfu Summer Institute September 10 th 2 1.CDF detector 2.W cross section measurements.
LHCC Review, CERN, 19/10/99Paul Bright-Thomas, for Alan Watson 1 LVL1 Calorimeter Algorithm Updates Changes since the TDR: Greater “integration” of e/
Faster tracking in hadron collider experiments  The problem  The solution  Conclusions Hans Drevermann (CERN) Nikos Konstantinidis ( Santa Cruz)
LVL1 Workshop, CERN, 16/07/99Alan Watson (by proxy) ATLAS Jet Trigger Algorithm Performance Requirements:  Good jet E T resolution Sharp threshold Minimise.
25 sep Reconstruction and Identification of Hadronic Decays of Taus using the CMS Detector Michele Pioppi – CERN On behalf.
CaloTopoCluster Based Energy Flow and the Local Hadron Calibration Mark Hodgkinson June 2009 Hadronic Calibration Workshop.
1 Performance of a Magnetised Scintillating Detector for a Neutrino Factory Scoping Study Meeting Rutherford Appleton Lab Tuesday 25 th April 2006 M. Ellis.
1 Triggering on Diffraction with the CMS Level-1 Trigger Monika Grothe, U Wisconsin HERA-LHC workshop March 2004 Need highest achievable LHC Lumi, L LHC.
DPF2000, 8/9-12/00 p. 1Richard E. Hughes, The Ohio State UniversityHiggs Searches in Run II at CDF Prospects for Higgs Searches at CDF in Run II DPF2000.
Kelli Hardy Compton Study from Experimental Data.
PFAs – A Critical Look Where Does (my) SiD PFA go Wrong? S. R. Magill ANL ALCPG 10/04/07.
1 EPS2003, Aachen Nikos Varelas ELECTROWEAK & HIGGS PHYSICS AT DØ Nikos Varelas University of Illinois at Chicago for the DØ Collaboration
13 July 2005 ACFA8 Gamma Finding procedure for Realistic PFA T.Fujikawa(Tohoku Univ.), M-C. Chang(Tohoku Univ.), K.Fujii(KEK), A.Miyamoto(KEK), S.Yamashita(ICEPP),
CALOR April Algorithms for the DØ Calorimeter Sophie Trincaz-Duvoid LPNHE – PARIS VI for the DØ collaboration  Calorimeter short description.
Study on search of a SM Higgs (120GeV) produced via VBF and decaying in two hadronic taus V.Cavasinni, F.Sarri, I.Vivarelli.
Monitoring of L1Calo EM Trigger Items: Overview & Midterm Results Hardeep Bansil University of Birmingham Birmingham ATLAS Weekly Meeting 11/11/2010.
ATLAS and the Trigger System The ATLAS (A Toroidal LHC ApparatuS) Experiment is one of the four major experiments operating at the Large Hadron Collider.
Search for High-Mass Resonances in e + e - Jia Liu Madelyne Greene, Lana Muniz, Jane Nachtman Goal for the summer Searching for new particle Z’ --- a massive.
Issues with cluster calibration + selection cuts for TrigEgamma note Hardeep Bansil University of Birmingham Birmingham ATLAS Weekly Meeting 12/08/2010.
Alexei Safonov (Texas A&M University) For the CDF Collaboration.
Calibration of the ZEUS calorimeter for hadrons and jets Alex Tapper Imperial College, London for the ZEUS Collaboration Workshop on Energy Calibration.
A search for the ZZ signal in the 3 lepton channel Azeddine Kasmi Robert Kehoe Southern Methodist University Thanks to: H. Ma, M. Aharrouche.
1 S, Fedele, Student Presentations, 2004/08/04S Amazing Title Slide Reworking the CES Cluster Reconstruction Algorithm By: Steve Fedele Advisor: Pavel.
Update on Diffractive Dijets Hardeep Bansil University of Birmingham 12/07/2013.
06/2006I.Larin PrimEx Collaboration meeting  0 analysis.
L1Calo EM Efficiencies Hardeep Bansil University of Birmingham L1Calo Joint Meeting, Stockholm 29/06/2011.
10 January 2008Neil Collins - University of Birmingham 1 Tau Trigger Performance Neil Collins ATLAS UK Physics Meeting Thursday 10 th January 2008.
Mark OwenManchester Christmas Meeting Jan Search for h ->  with Muons at D  Mark Owen Manchester HEP Group Meeting January 2006 Outline: –Introduction.
ATLAS and the Trigger System The ATLAS (A Toroidal LHC ApparatuS) Experiment [1] is one of the four major experiments operating at the Large Hadron Collider.
I'm concerned that the OS requirement for the signal is inefficient as the charge of the TeV scale leptons can be easily mis-assigned. As a result we do.
 reconstruction and identification in CMS A.Nikitenko, Imperial College. LHC Days in Split 1.
Photon purity measurement on JF17 Di jet sample using Direct photon working Group ntuple Z.Liang (Academia Sinica,TaiWan) 6/24/20161.
American Physical Society Meeting St. Louis, MO April th, 2008 Measuring the top mass at DØ using the Ideogram Method Amnon Harel
Elena Bruna Yale University
Performance of jets algorithms in ATLAS
Venkat Kaushik, Jae Yu University of Texas at Arlington
NIKHEF / Universiteit van Amsterdam
The Silicon Track Trigger (STT) at DØ
Individual Particle Reconstruction
J/Y Simulations for Trigger
Presentation transcript:

Simulation Work at Nevis Jovan Mitrevski Columbia University DØ Workshop July 10, 2002

J. MitrevskiDØ Workshop - July 10, Outline Review of sliding window algorithms Jet algorithm choices ICR detectors’ output in sliding window algorithms: include or not? First look at taus Electron algorithms Summary

J. MitrevskiDØ Workshop - July 10, Sliding Window Algorithms A 0.2  0.2 trigger tower is too small to contain all the jet energy, and furthermore, a jet or electron might fall on the border between two trigger towers. Solution: use a sliding-window algorithm. Electron trigger algorithms must discriminate electrons from jets. Plan is to use hadronic and isolation cuts. Tau trigger algorithms must discriminate tau jets from hadronic jets. One idea is to use jet width; study is just getting under way.

J. MitrevskiDØ Workshop - July 10, Jet Sliding Window Algorithms Regions of Interest (RoIs) consisting of 2  2 or 3  3 grids of trigger towers. Decluster on 3  3 or 5  5 grids of RoI sums. Total reported cluster energy is expanded to a 4  4 or 5  5 grid of TTs, corresponding to a 0.8  0.8 or 1.0  1.0 region in . RoI E T cluster region                           decluster grid (all combinations allowed)

J. MitrevskiDØ Workshop - July 10, Jet Algorithm Choices Studying four sliding window jet algorithms, which are named by the triplet (size of RoI, minimum separation of neighboring RoIs, expansion of RoI region to get E T cluster energy): (2, 0, 1): 2×2 RoI, 3×3 decluster, 4×4 E T region (2, 1, 1): 2×2 RoI, 5×5 decluster, 4×4 E T region (3, -1, 1): 3×3 RoI, 3×3 decluster, 5×5 E T region (3, 0, 1): 3×3 RoI, 5×5 decluster, 5×5 E T region Applied the above algorithms to three types of events: ZH  vvbb, WH  evbb, inclusive t tbar. All were from Michael Hildreth’s run 2b projects with mb=7.5. The WH files are mcp07, while the others are mcp10.

J. MitrevskiDØ Workshop - July 10, E T (trig. cluster) / E T (jccb) For each JCCB jet, select the trig. cluster with the smallest  R. Plots have the following cuts: jetid group certification cuts jccb E T > 10 GeV, tc E T > 1.5 GeV jccb det. |eta| < 3.5  R < 0.25 (0.3) for 2x2 (3x3) RoI WH tt ZH

J. MitrevskiDØ Workshop - July 10, E T (tc) / E T (jccb) vs Eta For each JCCB jet, select the trig. cluster with the smallest  R. Plots have the following cuts: jetid group certification cuts jccb E T > 10 GeV trig. cluster E T > 1.5 GeV  R < 0.25 (0.3) for 2x2 (3x3) RoI WH ZH tt

J. MitrevskiDØ Workshop - July 10, E T (tc) / E T (jccb) vs E T (jccb) E T (tc) / E T (jccb) is a function of E T (jccb), as can be seen in this plot of the four algorithms under consideration and a few variants in a sample of ZH  vvbb events. The E T cluster size has the primary effect. ZH

J. MitrevskiDØ Workshop - July 10, E T (tc) / E T (jccb) high E T, exclude ICR High-E T jets that don’t fall in the ICR result in narrower distributions. Applied cuts: jetid group certification cuts jccb E T > 20 GeV, tc E T > 7 GeV jccb det. |eta| < 0.8 || 1.6 < |eta| < 3.5  R < 0.25 (0.3) for 2x2 (3x3) RoI WH ttZH

J. MitrevskiDØ Workshop - July 10, E T (tc) / E T (jccb) Summary jccb E T > 10 GeV, tc E T > 1.5 GeV, |eta| < 3.5 jccb E T > 10 GeV, tc E T > 1.5 GeV, |eta| < 0.8 || 1.6 < |eta| < 3.5

J. MitrevskiDØ Workshop - July 10, E T (tc) / E T (jccb) Sum. II jccb E T > 20 GeV, tc E T > 7 GeV, |eta| < 3.5 jccb E T > 20 GeV, tc E T > 7 GeV, |eta| < 0.8 || 1.6 < |eta| < 3.5

J. MitrevskiDØ Workshop - July 10, Turn-on Curves All the sliding window algorithms result in similar turn-on curves, significantly better than the current algorithm’s. Applied cuts: jetid group certification cuts jccb det. |eta| < 3.5 WH ZH tt

J. MitrevskiDØ Workshop - July 10, Turn-on Curves The turn-on curve is sharpened if the area around the ICR is excluded. The left picture is the WH plot from before, the right further restricts the jccb detector eta of the jets to |eta| < 0.8 || 1.6 < |eta| < 3.5.

J. MitrevskiDØ Workshop - July 10, Accuracy in Position The accuracy in the position of a jet is important for track matching. Plots reco-tc delta- R. Applied cuts: jetid group certification cuts reco E T > 10 GeV trig. cluster E T > 1.5 GeV WH tt ZH

J. MitrevskiDØ Workshop - July 10, Accuracy in Position for Taus and Electrons The algorithms with the 2×2 RoI have slightly better accuracy in the position than do the algorithms with a 3×3 RoI. For narrow events, such as taus and electrons, the advantage of the 2×2 RoI algorithms increases. The plot on the left is for WH  evbb events where the jetid cuts are not applied, thus including an electron “jet.” The plot on the right is H  tau tau. The jetid cuts are not applied. H  tau tau WH  evbb

J. MitrevskiDØ Workshop - July 10, (3, -1, 1) Double Counting Of the four jet sliding-window algorithms studied, only the one using a 3  3 RoI, 3  3 decluster matrix allows two jets to share RoIs: Situation where the “sig” cell contains a narrow shower (such as an electron) and the “ns” cells both contain noise cause one jet to be considered two. In a sample t tbar file, roughly 15% of the electrons were recognized as two jets. ns sig ns As an aside, all these algorithms can double- count energy if there are two neighboring jets since the 4  4 or 5  5 clusters can overlap.

J. MitrevskiDØ Workshop - July 10, Evidence for Double Counting This plot is of WH  evbb events. It displays the number jet triggers with an E T > 8 GeV within a radius of 0.6 from from an EMPART_Z electron (passing emid cuts) with P T > 15 GeV/c. One trigger is expected, with two occurring on occasion due to a nearby jet.

J. MitrevskiDØ Workshop - July 10, Single Jet Trigger Efficiency (fraction of events that trigger) vs. rate, for single jet triggers, |eta| < 3.5. Assumed luminosity: 5×10 32 cm -2 s -1. WH ZH tt

J. MitrevskiDØ Workshop - July 10, Double Jet Trigger Efficiency (fraction of events that trigger) vs. rate, for double jet triggers (E T cutoff the same for both jets), |eta| < 3.5. Assumed luminosity: 5×10 32 cm -2 s -1. WH ZH tt

J. MitrevskiDØ Workshop - July 10, ICR Question A question that needs to be answered is whether the detectors in the ICR should be used by the L1 calorimeter trigger. Simulation preliminary: trigsim does not model the ICR well, so we need to use trigger towers recreated from the precision readout. Absolute scales are not comparable, but trends provide info:

J. MitrevskiDØ Workshop - July 10, E T (tc) / E T (jccb) vs Eta Including the ICR detectors improves the trigger uniformity. Attempts can be made to tune the ICR response without actually using the detectors. WH tt ZH

J. MitrevskiDØ Workshop - July 10, E T (tc) / E T (jccb) in ICR Not including the ICR detectors results in poor resolution in the ICR, even if some scaling is employed. Plots are of of 0.9 < |eta| < 1.5 WH tt ZH

J. MitrevskiDØ Workshop - July 10, Turn-on Curves Including the ICR detectors improves the turn-on curves. The simple scaling schemes is shown to perform in between the with ICR and the plain without ICR schemes. WH tt ZH

J. MitrevskiDØ Workshop - July 10, Single Jet Trigger Including the ICR detectors improves the efficiency vs. rate curves for single jet triggers. The simple scaling scheme’s effect is minimal, but maybe a better scaling scheme (e.g. scaling before algorithm) will have more of an effect. WH tt ZH

J. MitrevskiDØ Workshop - July 10, Double Jet Trigger Including the ICR detectors improves the efficiency vs. rate curves for double jet triggers. The simple scaling scheme performs in between the with ICR and the plain without ICR scheme. WH tt ZH

J. MitrevskiDØ Workshop - July 10, First Look at Taus The H  tau tau reaction could be important for the discovery of the Higgs. It is difficult to trigger on this reaction with just jet triggers while keeping the rate low:

J. MitrevskiDØ Workshop - July 10, First Look at Taus Tau jets tend to be narrower than hadronic jets. A possible tau trigger could be envisioned that looks for narrow jets, cutting on the ratio E(2×2) / E(4×4). A jet algorithm with a 2×2 RoI makes this easy to do. H  tau tau ZH  vvbb

J. MitrevskiDØ Workshop - July 10, Electron Trigger We have started intensely studying the electron trigger algorithms. Atlas scheme or regular 2×2 sliding window scheme or none of the above? What are appropriate EM and hadronic isolation cuts? Does TT energy saturation need to be handled differently for hadronic cut? First results to come shortly.

J. MitrevskiDØ Workshop - July 10, Summary At Nevis we are undertaking simulation studies to decide: Which jet algorithm to implement—all have similar performance Bigger cluster results in better low energy jet resolution. Smaller cluster and decluster matrix find more jets in busy events as ttbar 2×2 RoI has better accuracy in position. 3×3 RoI must be paired with 5×5 decluster to avoid double-counting, resulting in a very complicated algorithm. 2×2 RoI is more compatible with tau and electron algorithms. Larger decluster results in better energy resolution of found jets. Designs for larger decluster matrix algorithms allow for smaller matrix algorithm to be implemented as a backup, but not visa versa. Should the ICR detectors be included in the algorithms? Can a tau trigger be designed? What electron algorithm should be implemented?

J. MitrevskiDØ Workshop - July 10, Recommendation so Far The (2, 1, 1) algorithm (2×2 RoI, 5×5 decluster, 4×4 E T region) is the one we should design for: More flexible than the (2, 0, 1) algorithm. For example: the (2, 0, 1) algorithm can be implemented in a (2, 1, 1) design, but not visa versa expanding the E T cluster size may be possible. Easier to incorporate alongside the tau and electron algorithms, which are 2×2 in structure, than a 3×3 algorithm is. The only well-performing 3×3 algorithm is the (3, 0, 1), but that is too complicated, and it suffers in busy events due to the large size.