Recent SiD Tracking Studies at CU (and Ancient Outer Tracker Studies at SLAC)
|
|
|
- Evangeline Caldwell
- 9 years ago
- Views:
Transcription
1 Recent SiD Tracking Studies at CU (and Ancient Outer Tracker Studies at SLAC) Steve Wagner, University of Colorado, Boulder I did realistic pattern recognition studies for the SiD Barrel Outer Tracker for Paris 2004 LCWS These studies included the effects of the full (fierce) machine backgrounds (BGs) associated with the warm LC R (cm) TRACKING SYSTEM FOR SD-MAR01 DETECTOR Silicon (SDD or µ-strip) barrel cos(θ) = 0.80 cos(θ) = 0.90 I wrote these up as SLAC-PUB and submitted to the proceedings Si µ-strip Disk Tracker They seem to be totally forgotten now 20 0 CCD Vertex Detector (+ cryostat) cos(θ) = Z (cm) 1
2 Ancient History I used the SDJan03 version of the SiD barrel outer tracker. 5 T field, 5 single sided layers of Si (R i =(20,46.25, 72.5, 98.75, 125) cm) The version of the outer tracker I did the most studies on had long ladders and no z information. Each barrel is split at z =0and read out at its outboard end Near the end of my studies a new variant of the outer tracker appeared. Each 10 cm long wafer on a ladder was read-out separately ( tiled ). This was an attempt to deal with the BGs at the warm machine and still appears in many (all?) of the new detector variations I started out writing stand-alone pat rec for the outer tracker, finding Ks 0 in a pristine detector Was convinced (by others) more immediate problem was just extending inner tracks into fully occupied outer tracker To many people the SiD outer tracker seems like too minimal a detector. Backgrounds and other tracks pile up, making pattern recognition problematic. I said I d see if the problem was tractable 2
3 Code Used For Studies (SODHitAdder) Took tracks (perfect pat rec but realistic resolutions) reco-ed in the vertex det (SODTrackFinder) and projected them out into the outer tracker - added hits and refit tracks May sound like I just used Nick s code but I didn t - wrote my own, including fitter, from scratch in java (actually rewrote a lot I had written in c++ for BaBar) Predates Nick s patt rec code but my patt rec has never been in general (or for that matter, any) release for others to use My code deals with barrel tracking only - Nick s does forward too. But good to have two different algorithms (even if very similar) to beat against each other And mine is definitely prototype code - easy to change if you ve got a new better idea 3
4 p T =50GeV Track in Quadrant of Outer Tracker Worked in JAS2 using SDJan03 MC data (and just ignored the z info that s there for outer tracker hits) MC simulation includes resolution, scattering and E- loss (deltas), interactions (inc. calorimeter splash-back), decays Take trks found and (helix) fit in VXD and project out to outer tracker Add (closest) hit and refit trk at each outer tracker layer 4
5 Adding Outer Tracker Hits to Projected VXD Tracks 50 GeV/c tracks (shown) gobble up outer tracker hits, get better as they go out (σ resid = 490 µm at L1 to σ resid = 74 µm at L5) Will only get a little better with full Kalman fits Run it on clean tracks (1 and 50 GeV/c p T ) projected out and projected back; picks up all hits and fits correctly (eff = 100%) But no one really cares about tracking in trivial evts 5
6 Mix in Hits from s = 500 GeV qq Events Write out outer tracker hits and T(hrust) axis for s = 500 GeV qq evts if T axis of evt in outer tracker barrel evts to work with, about 45 hits in each outer tracker layer Read in hits from qq evts, rotate them in φ so T axis is a pre-determined angle from probe track Mix together outer tracker hits for probe trk and qq hits. Probe trk hits flagged, but only inspected after all pat rec is over 6
7 Rotate qq hits so Thrust Axis at Set Angle to Probe Track Allows to scan eff measurement from more problematic regions (T axis approx center of jet) to easiest (90 o from T axis) Change pat rec algorithm to make 3 trial trks using 3 closest hits in outer tracker L1. Past L1 the trials pick up closest hit in each layer and continuously refit. Trials often share hits past L1 (sharing not allowed in L1) Pick final trk on χ 2 /dof. Also throw preference for more hits into arbitration process (reject L2-L5 duplicates which achieve lower χ 2 /dof because no additional L1 hits available) 7
8 Efficiency for Reco-ing 50 GeV Probe Trk with Hit Adding For green curve, require found trk have all its correct hits (be perfect ). The blue curve is where at most 1 hit in outer tracker is wrong. Often call trks where 1 hit is wrong close; blue curve is perfect+close Purple curve is trks where at least 1 hit in outer tracker is right - area above purple curve is fraction at that angle (to T Fraction = Efficiency axis) where all outer tracker hits are wrong VDX trk has latched onto wrong trk in outer tracker here. VDX trk (short stub) does not have great momentum resolution for high p T trks 8
9 Close Tracks Not Really That Bad Steve Wagner, August 17, 2005 Tracks with 4/5 outer tracker hits right still have all 5 VXD hits right Momentum resolution for these trks is about a factor of 3 worse if track is high p T These are the sort of occurrences that give us unwanted but always observed tails on our measured p T resolution, but still usable (and used) trks A χ 2 comparator to MC truth would consider most of the close trks properly found - I will also, but I won t consider trks with 2/5 outer tracker hits wrong properly found 9
10 Future Project: Hit Arbitration Steve Wagner, August 17, 2005 And at least so far, there s another real trk that wants (produced) the bad hit on the close trk, and the correct hit for this trk is also close by - hit can be arbitrated away later in pat rec to lower global χ 2 This is also the case where it s latched on to completely wrong trks (1-purple curve); there s another trk that wants all those hits Approx 60% of time next best trial to completely bad trk is correct perfect trk, χ 2 a little worse; approx 20% of time next best is correct close trk 10
11 Mix in Pair, γγ and Photon BGs Steve Wagner, August 17, 2005 Hits generated were for 1/2 of barrel - VXD trks have excellent z resolution and know which 1/2 of the outer tracker they re pointing into Take pair and γγ interactions from old files; mix in enough of each to get specific occupancy in L1 correct (calc by Takashi Maruyama for warm LC) Add in photons (random salt-and-pepper) and dial in enough to match correct total occupancy in each layer Total occ by layer for split outer tracker was (0.83,0.27,0.15,0.10,0.08)% Dominated by photon BGs - γγ and pairs only significant in L1 11
12 Project VTX Trk to Outer Tracker and HitAdd in Heavy BG Same algorithm as before For this evt, it was easy. It s a perfect trk all the way out Next best trial trk has χ 2 factor of worse, 2 bad hits (and 3 good ones, shared with best trial track) But not all this easy 12
13 Effect of Full BGs on 50 GeV Tracks Steve Wagner, August 17, 2005 Solid curves are for only qq evt overlaid (shown earlier), dashed curves are with full BGs mixed in also Noticeable effect on perfect eff, but perfect+close eff > 99% over most of solid angle; wrong trk effect still dominates ineff near jet core 13
14 Effect of Full BGs on p T =1GeV Tracks Steve Wagner, August 17, 2005 Eff more uniform for qq evts without BG, but not as high outside jet. May just be an unoptimized windows But effect of BG is quite dramatic, especially on perfect trks Pattern of bad hits is different here (with BGs) than elsewhere. Usually it s L1 bad; here mostly L5 bad 1GeVp T trks almost don t exit outer tracker; they enter L5 at a very steep angle, and have lots of BG to pick from in L5 Here s probably the one place a full Kalman extrapolator, which I haven t written yet, would really help 14
15 But Close p T =1GeV Tracks are Pretty Good Picked-up bad hit (mostly in L5) doesn t effect 1 GeV p T trk as much as high p T trk p T res only degraded 20 30%, probably worse when full Kalman fit done 15
16 Effect of Tiled Outer Tracker on p T =50GeV Tracks Concept is to read out each 10 cm x 10 cm wafer separately rather than chain them together in half-barrels Number of BG hits remains the same, but number of strips really increases Occupancy now (0.276,0.043,0.015,0.008,0.005)% Effs return to near what they were with only qq hits mixed in 16
17 Effect of Tiled Outer Tracker on p T =1GeV Tracks Really helps lower p T trks Occupancy reduced a factor of 16.7 in L5 17
18 Paris Conclusions If willing to define eff as 9/10 hits correct (> 90% of trks have ideal res, < 10% slightly degraded), then eff > 98.5% for tiled detector across jet, indep of p, except for high p T trks in core of jet (< 50 mrad), where eff drops to > 96.5% Dip at 0 o to T axis swapping real trk outer tracker hits (or whole outer tracker trks) between VXD trks. If carry around multiple viable candidate trks with hits, should be able to arbitrate most/all of effect away (not proven yet) Effect overestimated anyway, as probe trk not subject to momentum conservation of entire qq evt - not as many dual high p T trks near jet core in real world 18
19 What I Tried (And Failed) To Do Last Week Tried to migrate to JAS3 and org.lcsim so I could look at new detectors in slcio Wanted to get new expected BG levels in outer tracker and repeat some old studies with new (cold) numbers Was unable to get my old code running even on old sio files in this environment Too many things I needed were missing. Got some explanations yesterday; still need a few more 19
20 What I Did Last Week: Two-Track Resolution Studies Went back to JAS2/hep.lcd and tried to resolve some outstanding questions from Paris studies Stop mixing in BGs, but keep mixing probe track and hits from qq evts Rather than figure out navigation of hits back to MC truth in qq evts, add yet another track s hits (at an arb ang to probe trk) Park probe trk just outside (100 mrad) jet core and sweep other embedded 50 GeV/c trk past it and measure probe trk reco eff 20
21 Can Make Z 0 From Probe and Embedded Tracks Can reconstruct both probe and embedded trk in outer barrel from their VTX trk and hit adding Two 50 GeV tracks at the specific angle (131.5 o ) wrt each other make a (p T =41GeV/c) Z 0 µ + µ decay I call this a faux-z mostly because it covers a tiny amount of available Z 0 phase space But it allows me to define a trking efficiency (or a Z 0 reconstruction eff) without having to resort to arguing whether a close trk is well-enough reconstructed 21
22 Look at faux-z 0 Efficiency vs µ + T Angle Define correctly reco-ed Z 0 as one within ±1.25 GeV (±Γ/2) of nominal mass Note I gave Z 0 no natural width. Reco-ed width is just detector resolution Averaged (over φ) reconstruction eff for these Z 0 (remember, in Z 0 jet jet events - average multiplicity 47) is 99.1% 22
23 What to do at Snowmass? My code isn t very tied to hep.lcd. Can continue port now that I have experts close by. May have results for new detectors by end of next week Get correct BG levels for cold machine from Takashi and turn BGs back on Can try hit arbitration to try to improve two-track resolution Any other suggestions (for the tools I have)? 23
Jet Reconstruction in CMS using Charged Tracks only
Jet Reconstruction in CMS using Charged Tracks only Andreas Hinzmann for the CMS Collaboration JET2010 12 Aug 2010 Jet Reconstruction in CMS Calorimeter Jets clustered from calorimeter towers independent
Tracking/Vertexing/BeamSpot/b-tag Results from First Collisions (TRK-10-001)
Tracking/Vertexing/BeamSpot/b-tag Results from First Collisions (TRK-1-1) Yanyan Gao, Fermilab on behalf of Tracking-Btagging POGs 3 March 21 / CERN CMS General Weekly Meeting: GWM8 Contributors and Acknowledgement
Vertex and track reconstruction with the ALICE Inner Tracking System
Vertex and track reconstruction with the ALICE Inner Tracking System The 5th International Nordic "LHC and Beyond" Workshop St.Petersburg, 8-11 June 2010 Leonardo Milano Univ. & INFN, Torino for the ALICE
Real Time Tracking with ATLAS Silicon Detectors and its Applications to Beauty Hadron Physics
Real Time Tracking with ATLAS Silicon Detectors and its Applications to Beauty Hadron Physics Carlo Schiavi Dottorato in Fisica - XVII Ciclo Outline The ATLAS Experiment The SiTrack Algorithm Application
CMS Tracking Performance Results from early LHC Running
CMS Tracking Performance Results from early LHC Running CMS PAPER TRK-10-001 L. Spiegel, K. Stenson, M. Swartz 1 First Collisions Tracking Paper Provide description of tracker, tracking algorithm, and
Proton tracking for medical imaging and dosimetry
Proton tracking for medical imaging and dosimetry J.Taylor, P.Allport, G.Casse For the PRaVDA Consortium 1 Background and motivation - What is the PRaVDA experiment? - Why are we using Monte Carlo? GEANT4
Track Trigger and Modules For the HLT
CMS L1 Track Trigger for SLHC Anders Ryd for the CMS Track Trigger Task Force Vertex 2009 Sept. 13-18, 2009 L=1035 cm-2s-1 Outline: SLHC trigger challenge Tracking triggers Track trigger modules Simulation
The LHCb Tracking System. Jeroen van Hunen
The LHCb Tracking System Jeroen van Hunen The LHCb Experiment LHCb at Point 8 : a lot of activity! LHCb : a B-physics experiment that is being constructed for : Precision measurements of the CPviolation
Part 4 fitting with energy loss and multiple scattering non gaussian uncertainties outliers
Part 4 fitting with energy loss and multiple scattering non gaussian uncertainties outliers material intersections to treat material effects in track fit, locate material 'intersections' along particle
FTK the online Fast Tracker for the ATLAS upgrade
FTK the online Fast Tracker for the ATLAS upgrade Kostas Kordas Aristotle University of Thessaloniki Annual EESFYE mtg, University of the Aegean, Chios, 25-29 April 2013 Overview ATLAS Trigger and DAQ
Event display for the International Linear Collider Summer student report
Event display for the International Linear Collider Summer student report Stewart Martin-Haugh, supervisor Steve Aplin Physics Computing/IT September 10, 2009 1 Introduction The International Linear Collider
Information about the T9 beam line and experimental facilities
Information about the T9 beam line and experimental facilities The incoming proton beam from the PS accelerator impinges on the North target and thus produces the particles for the T9 beam line. The collisions
Secondary vertex reconstruction from tracking data using the ZEUS-framework t 3-jet reconstruction from ZEUS-data at s = 318 GeV
DESY - ZEUS COLLABORATION SUMMER STUDENT REPORT Secondary vertex reconstruction from tracking data using the ZEUS-framework t 3-jet reconstruction from ZEUS-data at s = 318 GeV Author: Harald VIEMANN Supervisors:
variables to investigate Monte Carlo methods of t t production
Using the M 2 and variables to investigate Monte Carlo methods of t t production Caitlin Jones September 8, 25 Abstract In this project the behaviour of Monte Carlo simulations for the event t t! ` `+b
So you want to create an Email a Friend action
So you want to create an Email a Friend action This help file will take you through all the steps on how to create a simple and effective email a friend action. It doesn t cover the advanced features;
Which calorimeter for FCC detector
Which calorimeter for FCC detector Jean-Claude Brient* Laboratoire Leprince-Ringuet Ecole Polytechnique CNRS Palaiseau J. C. Brient ( LLR) 1 * ECAL contact for ILD and former spokesperson of CALICE FCC
On the Paradox of the Question
On the Paradox of the Question Theodore Sider Analysis 57 (1997): 97 101 Ned Markosian (1997) tells a story in which philosophers have an opportunity to ask an angel a single question. In order to circumvent
Calorimetry in particle physics experiments
Calorimetry in particle physics experiments Unit n. 8 Calibration techniques Roberta Arcidiacono Lecture overview Introduction Hardware Calibration Test Beam Calibration In-situ Calibration (EM calorimeters)
Operation and Performance of the CMS Silicon Tracker
Operation and Performance of the CMS Silicon Tracker Manfred Krammer 1 on behalf of the CMS Tracker Collaboration Institute of High Energy Physics, Austrian Academy of Sciences, Vienna, Austria Abstract.
The Basics of Robot Mazes Teacher Notes
The Basics of Robot Mazes Teacher Notes Why do robots solve Mazes? A maze is a simple environment with simple rules. Solving it is a task that beginners can do successfully while learning the essentials
LESSON 7: IMPORTING AND VECTORIZING A BITMAP IMAGE
LESSON 7: IMPORTING AND VECTORIZING A BITMAP IMAGE In this lesson we ll learn how to import a bitmap logo, transform it into a vector and perform some editing on the vector to clean it up. The concepts
A.Besson, IPHC-Strasbourg
DIGMAPS: a standalone tool to study digitization an overview of a digitizer strategy for CMOS/MAPS sensors A.Besson, IPHC-Strasbourg thanks to A.Geromitsos and J.Baudot Motivations for a CMOS sensor digitizer,
" Y. Notation and Equations for Regression Lecture 11/4. Notation:
Notation: Notation and Equations for Regression Lecture 11/4 m: The number of predictor variables in a regression Xi: One of multiple predictor variables. The subscript i represents any number from 1 through
Measurement of the Mass of the Top Quark in the l+ Jets Channel Using the Matrix Element Method
Measurement of the Mass of the Top Quark in the l+ Jets Channel Using the Matrix Element Method Carlos Garcia University of Rochester For the DØ Collaboration APS Meeting 2007 Outline Introduction Top
IMPROVEMENT OF JET ENERGY RESOLUTION FOR SEGMENTED HCAL USING LAYER WEIGHTING TECHNIQUE
IMPROVEMEN OF JE ENERGY RESOLUION FOR SEGMENED HCAL USING LAYER WEIGHING ECHNIQUE V. Andreev 1, I. Golutvin 2, A. Nikitenko 3,V.Palichik 2 1 Lebedev Physical Institute, Moscow, Russia 2 Joint Institute
π 0 γγ calibration Savrina Daria, ITEP, Moscow SINP MSU, Moscow Victor Egorychev, ITEP, Moscow Ivan Belyaev
π 0 γγ calibration Savrina Daria, ITEP, Moscow SINP MSU, Moscow Ivan Belyaev Victor Egorychev, ITEP, Moscow Loose cuts for π 0 selection One of the ways to improve the calibration procedure is to increase
Club Accounts. 2011 Question 6.
Club Accounts. 2011 Question 6. Anyone familiar with Farm Accounts or Service Firms (notes for both topics are back on the webpage you found this on), will have no trouble with Club Accounts. Essentially
arxiv:1402.0675v1 [physics.ins-det] 4 Feb 2014
Preprint typeset in JINST style - HYPER VERSION Operation and performance of the CMS tracker arxiv:1402.0675v1 [physics.ins-det] 4 Feb 2014 Viktor Veszpremi for the CMS Collaboration a a Wigner Research
Specific Intensity. I ν =
Specific Intensity Initial question: A number of active galactic nuclei display jets, that is, long, nearly linear, structures that can extend for hundreds of kiloparsecs. Many have two oppositely-directed
Copyright (c) 2015 Christopher Small and The Art of Lawyering. All rights reserved.
Copyright (c) 2015 Christopher Small and The Art of Lawyering. All rights reserved. 1 In this special report, I ll be sharing with you the ten biggest mistakes that lawyers make when marketing their law
EUTelescope: tracking software
EUTelescope: tracking software A. Bulgheroni, T. Klimkovich, P. Roloff, A.F. Żarnecki December 3, 2007 Abstract The main goal of the JRA1 within the EUDET project is the construction of new and the improvement
Validation of the MadAnalysis 5 implementation of ATLAS-SUSY-13-05
Validation of the MadAnalysis 5 implementation of ATLAS-SUSY-3-5 Guillaume Chalons (LPSC Grenoble) email: [email protected] October 27, 24 Abstract In this note we summarise our validation of the ATLAS
Top rediscovery at ATLAS and CMS
Top rediscovery at ATLAS and CMS on behalf of ATLAS and CMS collaborations CNRS/IN2P3 & UJF/ENSPG, LPSC, Grenoble, France E-mail: [email protected] We describe the plans and strategies of the
Silicon Sensors for CMS Tracker at High-Luminosity Environment - Challenges in particle detection -
[email protected] Finnish Society for Natural Philosophy, Helsinki, 17 February 2015 Silicon Sensors for CMS Tracker at High-Luminosity Environment - Challenges in particle detection - Timo Peltola
Lesson 26: Reflection & Mirror Diagrams
Lesson 26: Reflection & Mirror Diagrams The Law of Reflection There is nothing really mysterious about reflection, but some people try to make it more difficult than it really is. All EMR will reflect
If A is divided by B the result is 2/3. If B is divided by C the result is 4/7. What is the result if A is divided by C?
Problem 3 If A is divided by B the result is 2/3. If B is divided by C the result is 4/7. What is the result if A is divided by C? Suggested Questions to ask students about Problem 3 The key to this question
Simulation of Neutron Backgrounds from the ILC Extraction Line Beam Dump. Siva Darbha. Office of Science, SULI Program. University of Toronto
SLAC-TN-07-013 August 2007 Simulation of Neutron Backgrounds from the ILC Extraction Line Beam Dump Siva Darbha Office of Science, SULI Program University of Toronto Stanford Linear Accelerator Center
Jan Brzeski s Introductory List-Building
Jan Brzeski s Introductory List-Building Welcome and congratulations on picking up this guide which is going to give your life a totally new meaning. Bold claim right? Well, you ll agree with it after
Shortest Path Algorithms
Shortest Path Algorithms Jaehyun Park CS 97SI Stanford University June 29, 2015 Outline Cross Product Convex Hull Problem Sweep Line Algorithm Intersecting Half-planes Notes on Binary/Ternary Search Cross
Silicon Lab Bonn. Physikalisches Institut Universität Bonn. DEPFET Test System Test Beam @ DESY
Silicon Lab Bonn Physikalisches Institut Universität Bonn DEPFET Test System Test Beam @ DESY H. Krüger, EUDET Brainstorming, 3/4.11.2005 1 SI LAB DEPFET Prototype System DEPFET sensors 64 x 128 pixels,
Bounding the Higgs width at the LHC
Bounding the Higgs width at the LHC Higgs XSWG workshop, June 2014 John Campbell, Fermilab with K. Ellis, C. Williams 1107.5569, 1311.3589, 1312.1628 Reminder of the method This is the essence of the original
Line Tracking Basic Lesson
Line Tracking Basic Lesson Now that you re familiar with a few of the key NXT sensors, let s do something a little more interesting with them. This lesson will show you how to use the Light Sensor to track
Creating Folders and Organizing Your Email
Creating Folders and Organizing Your Email Creating Folders and Organizing Your Email Why create folders for your email in Lotus Notes? Think of Notes as a person, you. Think of your email as USPS mail
HIGH-ENERGY COLLIDER PARAMETERS: e + e Colliders (I)
28. High-energy collider parameters 1 HIGH-ENERGY COLLIDER PARAMETERS: e + e Colliders (I) Updated in early 2012 with numbers received from representatives of the colliders (contact J. Beringer, LBNL).
Goal: Practice writing pseudocode and understand how pseudocode translates to real code.
Lab 7: Pseudocode Pseudocode is code written for human understanding not a compiler. You can think of pseudocode as English code that can be understood by anyone (not just a computer scientist). Pseudocode
This material is excerpted from Software Estimation: Demystifying the Black Art by Steve McConnell (Redmond, Wa.: Microsoft Press).
This material is excerpted from Software Estimation: Demystifying the Black Art by Steve McConnell (Redmond, Wa.: Microsoft Press). 2006 All Rights Reserved. C01605351.fm Page 3 Wednesday, January 25,
The New Mexico Lottery
The New Mexico Lottery 26 February 2014 Lotteries 26 February 2014 1/27 Today we will discuss the various New Mexico Lottery games and look at odds of winning and the expected value of playing the various
Book 3 Cost Estimating in an Agile Development Environment. (early release)
Book 3 Cost Estimating in an Agile Development Environment (early release) Book 3: Cost Estimating in an Agile Development Environment In this third book I ll use the slides I gave at a speech several
The TOTEM experiment at the LHC: results and perspective
The TOTEM experiment at the LHC: results and perspective Edoardo Bossini Università degli studi di Siena and INFN-Pisa (on behalf of the TOTEM collaboration) Trieste, 24 Settembre 2013 OUTLINE: Detector
FPGA Online Tracking Algorithm for the PANDA Straw Tube Tracker
FPGA Online Tracking Algorithm for the PANDA Straw Tube Tracker Yutie Liang, Hua Ye, Martin J Galuska, Thomas Gessler, Wolfgang Kühn, Member, IEEE, Jens Sören Lange, Milan N Wagner, Zhen an Liu, Senior
Chapter 7 Notes - Inference for Single Samples. You know already for a large sample, you can invoke the CLT so:
Chapter 7 Notes - Inference for Single Samples You know already for a large sample, you can invoke the CLT so: X N(µ, ). Also for a large sample, you can replace an unknown σ by s. You know how to do a
Arbs2U Is it right for me? 17 October 2014
17 October 2014 Contents Section 1 Preface... 3 Document Feedback... 3 Section 2 Introducing Arbitrage... 4 A brief discussion on Betting... 4 What is Arbitrage?... 5 What are the risks involved?... 7
A new inclusive secondary vertex algorithm for b-jet tagging in ATLAS
Home Search Collections Journals About Contact us My IOPscience A new inclusive secondary vertex algorithm for b-jet tagging in This content has been downloaded from IOPscience. Please scroll down to see
Dimes to Riches Money Management for Teens in Grades 7-12
Dimes to Riches Money Management for Teens in Grades 7-12 s e e r t n o row g t n s e o yd e n o M t a! h k t n a w b o n a k t u n By now yo Your parents are & Life is getting busy and you need cash for
Module 4: Identifying and Researching Career Options Transcript
Module 4: Identifying and Researching Career Options Transcript Introduction (video clip 1) This module will focus on the second step of the Career Planning Process, which is the step in which you ll figure
Comparison of Generalized Audit Software
Comparison of Generalized Audit Software In today s modern and computerized world even small companies have huge numbers of financial transactions going through the books. As an (external) auditor, it
15 QUESTIONS TO ASK BEFORE HIRING AN SEM AGENCY. Overview. Choosing the Wrong SEM Agency can Destroy your Business!
Overview Choosing the Wrong SEM Agency can Destroy your Business! Choosing a PPC agency to manage your accounts is a business critical task. Search marketing has the potential to drive a large portion
Chapter 7. Functions and onto. 7.1 Functions
Chapter 7 Functions and onto This chapter covers functions, including function composition and what it means for a function to be onto. In the process, we ll see what happens when two dissimilar quantifiers
5IMPROVE OUTBOUND WAYS TO SALES PERFORMANCE: Best practices to increase your pipeline
WAYS TO 5IMPROVE OUTBOUND SALES PERFORMANCE: Best practices to increase your pipeline table of contents Intro: A New Way of Playing the Numbers Game One: Find the decision maker all of them Two: Get ahead
Pristine s Day Trading Journal...with Strategy Tester and Curve Generator
Pristine s Day Trading Journal...with Strategy Tester and Curve Generator User Guide Important Note: Pristine s Day Trading Journal uses macros in an excel file. Macros are an embedded computer code within
The accurate calibration of all detectors is crucial for the subsequent data
Chapter 4 Calibration The accurate calibration of all detectors is crucial for the subsequent data analysis. The stability of the gain and offset for energy and time calibration of all detectors involved
A Java Crib Sheet. First: Find the Command Line
A Java Crib Sheet Unlike JavaScript, which is pretty much ready-to-go on any computer with a modern Web browser, Java might be a more complex affair However, logging some time with Java can be fairly valuable,
each college c i C has a capacity q i - the maximum number of students it will admit
n colleges in a set C, m applicants in a set A, where m is much larger than n. each college c i C has a capacity q i - the maximum number of students it will admit each college c i has a strict order i
Outline. NP-completeness. When is a problem easy? When is a problem hard? Today. Euler Circuits
Outline NP-completeness Examples of Easy vs. Hard problems Euler circuit vs. Hamiltonian circuit Shortest Path vs. Longest Path 2-pairs sum vs. general Subset Sum Reducing one problem to another Clique
5Get rid of hackers and viruses for
Reprint from TechWorld /2007 TEChWoRLd ISSuE 2007 ThEBIG: 5 FIREWaLLS TEChWoRLd ISSuE 2007 ThEBIG: 5 FIREWaLLS TEChWoRLd ISSuE 2007 ThEBIG: 5 FIREWaLLS # # # Load balancing is basically a simple task where
Normality Testing in Excel
Normality Testing in Excel By Mark Harmon Copyright 2011 Mark Harmon No part of this publication may be reproduced or distributed without the express permission of the author. [email protected]
CeSOX sensitivity studies
CeSOX sensitivity studies Ma#hieu VIVIER, Guillaume MENTION CEA- Saclay, DSM/IRFU/SPP CeSOX kick- off meecng Paris, February 5 th CeSOX experimental parameters L/E spectrum modeling and χ 2 Model computes
Lecture 6. Weight. Tension. Normal Force. Static Friction. Cutnell+Johnson: 4.8-4.12, second half of section 4.7
Lecture 6 Weight Tension Normal Force Static Friction Cutnell+Johnson: 4.8-4.12, second half of section 4.7 In this lecture, I m going to discuss four different kinds of forces: weight, tension, the normal
RAVE a Detector-independent Vertex Reconstruction Toolkit
RAVE a Detector-independent Reconstruction Toolkit Wolfgang Waltenberger, Winfried Mitaroff, Fabian Moser Institute of High Energy Physics, Austrian Academy of Sciences A-15 Vienna, Austria, EU Abstract
Introduction to the Monte Carlo method
Some history Simple applications Radiation transport modelling Flux and Dose calculations Variance reduction Easy Monte Carlo Pioneers of the Monte Carlo Simulation Method: Stanisław Ulam (1909 1984) Stanislaw
The Assumption(s) of Normality
The Assumption(s) of Normality Copyright 2000, 2011, J. Toby Mordkoff This is very complicated, so I ll provide two versions. At a minimum, you should know the short one. It would be great if you knew
Brookhaven Magnet Division - Nuclear Physics Program Support Activities
Brookhaven - Nuclear Physics Program Support Activities Spin Program support E-Cooling R&D RIA RHIC Operations Support Funding AGS Warm Siberian Snake AGS Warm Snake Magnetic element designed and built
Delphes, a framework for fast simulation of a general purpose LHC detector
Delphes, a framework for fast simulation of a general purpose LHC detector S. Ovyn and X. Rouby Center for Particle Physics and Phenomenology (CP3) Université catholique de Louvain B-1348 Louvain-la-Neuve,
Getting a Difficult Business Loan Is Easy
Getting a Difficult Business Loan Is Easy Learn How Easy IT Is To Get a Business Loan Even IF You Have Bad Credit And Have Been Turned Down Before Every Winner Has A Coach! John P Fazzio, Your Coach www.winning-advantage.com
Jets energy calibration in ATLAS
Jets energy calibration in ATLAS V.Giangiobbe Università di Pisa INFN sezione di Pisa Supported by the ARTEMIS Research Training Network Workshop sui Monte Carlo, la Fisica e le Simulazioni a LHC V.Giangiobbe
Seven Things You Must Know Before Hiring a DUI Lawyer
Seven Things You Must Know Before Hiring a DUI Lawyer 1 Introduction Some people don t quite understand the severity of getting a DUI. In many cases, your license is instantly taken away and you won t
Why do we need Fundraising Software?
Why do we need Fundraising Software? By Cascade Data Solutions We have very few donors. We can manage a list in Excel. We have QuickBooks for Nonprofits. We don t have the funds in our budget to purchase
p-values and significance levels (false positive or false alarm rates)
p-values and significance levels (false positive or false alarm rates) Let's say 123 people in the class toss a coin. Call it "Coin A." There are 65 heads. Then they toss another coin. Call it "Coin B."
Top-Quark Studies at CMS
Top-Quark Studies at CMS Tim Christiansen (CERN) on behalf of the CMS Collaboration ICHEP 2010, Paris 35th International Conference on High-Energy Physics tt 2 km 22 28 July 2010 Single-top 4 km New Physics
2013 Getting Started Guide
2013 Getting Started Guide The contents of this guide and accompanying exercises were originally created by Nemetschek Vectorworks, Inc. Vectorworks Fundamentals Getting Started Guide Created using: Vectorworks
Test Driven Development
Test Driven Development Introduction Test Driven development (TDD) is a fairly recent (post 2000) design approach that originated from the Extreme Programming / Agile Methodologies design communities.
Monitoring the team s performance
Monitoring the team s performance Why does your team need to be monitored? How can performance be monitored? You should ensure that you monitor only what is really important. In the two BS2 sessions Making
