Run13 MUID Hit Efficiency RIKEN/RBRC Itaru Nakagawa 1.

Slides:



Advertisements
Similar presentations
Lines in the Coordinate Plane
Advertisements

S1,N1 Counters RIKEN/RBRC Itaru Nakagawa. 4/15 ~ 4/29 S1,N1 Counters in MuID square hole. Lay down on the bottom of garage shielding.
Experiments and Variables
MuTr/MuTrig Performance of Run13 RIKEN/RBRC Itaru Nakagawa 1.
Forward Detectors and Measurement of Proton-Antiproton Collision Rates by Zachary Einzig, Mentor Michele Gallinaro INTRODUCTION THE DETECTORS EXPERIMENTAL.
MUID Status: General Detector Health In addition to two disabled HV chains there are four other chains (out of a total of 600) that are largely or totally.
ACORDE REPORT Pedro Podesta UAS Mexico. Geometry ( No changes) Alignment (No changes) QA (No changes ) Shuttle (In progress) To do Outline.
Run10 Preparation Status and Issues Itaru Nakagawa RIKEN/RBRC.
Performance test of STS demonstrators Anton Lymanets 15 th CBM collaboration meeting, April 12 th, 2010.
MuTr HV Optimization RIKEN/RBRC Itaru Nakagawa 1.
Chapter Representing Motion 2.
BigBite Wire Chamber Test Xin Qian Duke University Feb 20th For TRANSVERSITY Collaboration Wire chamber Gas Cerenkov Shower system Scintillator Magnetic.
NSW background studies Max Bellomo, Nektarios Benekos, Niels van Eldik, Andrew Haas, Peter Kluit, Jochen Meyer, Felix Rauscher 1.
Andrew Glenn 4/21/02 Commissioning and Performance of the. Muon Identifier Andrew Glenn (University of Tennessee), for the PHENIX collaboration April APS.
High School Cosmic Ray Projects and Training Basalt High School Math and Science Club October 14, 2004.
Giuseppe Martellotti - 24/02/2014 Performance at high luminosity - efficiency - accidentals - detector layout (contributions from Alessia and Roberta)
NA60 Group meeting, 31 March 2005, Markus Keil1 Update on the pixel efficiencies in the Indium run 2003.
11/23/2015Slide 1 Using a combination of tables and plots from SPSS plus spreadsheets from Excel, we will show the linkage between correlation and linear.
PDT’s  Control Board DSP Software (Sten,HH) u Updated so as to include the wire-length in the module data  Readout u All 6 crates in global run. u 90/94.
Estimation of a Population Mean
7 May 2009Paul Dauncey1 Tracker alignment issues Paul Dauncey.
LIAL HORNSBY SCHNEIDER
CMS WEEK – MARCH06 REVIEW OF MB4 COMMISSIONING DATA Giorgia Mila
MUID Efficiency by HV Method. (2013/06/22 0:18), Cianciolo, Vince wrote: Hi Itaru – The HV method will not necessarily predict lower efficiencies than.
Comparison between simulations and measurements in the LHC with heavy ions T. Mertens, R. Bruce, J.M. Jowett, H. Damerau,F. Roncarolo.
MuID LL1 Study (update) 09/02/2003 Muon Trigger Upgrade Meeting.
Performance of the PHENIX Muon Identifier Introduction Calibration with cosmic rays Performance in Au+Au collisions Summary Hiroki Sato, Kyoto University.
CERN, LIU-SPS ZS Review, 20/02/ Brief review on electron cloud simulations for the SPS electrostatic septum (ZS) G. Rumolo and G. Iadarola in LIU-SPS.
PERFORMANCE OF THE PHENIX SOUTH MUON ARM Kenneth F. Read Oak Ridge National Lab & University of Tennessee for the PHENIX Collaboration Quark Matter 2002.
Insert date here Presentation to 4 th PANI 3 Management Committee PANI 3 Results – Ultrasonic Results.
Muons at CalDet Introduction Track Finder Package ADC Corrections Drift Points Path Length Attenuation Strip-to-Strip Calibration Scintillator Response.
Section 1-1 Points and Lines. Each point in the plane can be associated with an ordered pair of numbers, called the coordinates of the point. Each ordered.
MuID Efficiency Study RIKEN/RBRC Itaru Nakagawa This analysis has been done by Sarah Caussin (ENSICAEN) 1.
Giuseppe Ruggiero CERN Straw Chamber WG meeting 07/02/2011 Spectrometer Reconstruction: Pattern recognition and Efficiency 07/02/ G.Ruggiero - Spectrometer.
Saw Tooth Pattern Dipole Axis Measurements. Vertical Plane Natalia Emelianenko February 2006.
MuID Twopack Efficiencies: Measurements with Cosmic Rays & High Voltage inforamtion.
1Ben ConstanceCTF3 working meeting – 09/01/2012 Known issues Inconsistency between BPMs and BPIs Response of BPIs is non-linear along the pulse Note –
Possible Improvement of MUID Performance Itaru Nakagawa, Seyoung Han (RIKEN, Ewha/RIKEN)
Accidental Coincidences Learning Objectives Understand the difference between real and accidental coincidences in an experiment using  2 scintillators.
(Towards a) Luminosity model for LHC and HL-LHC F. Antoniou, M. Hostettler, Y. Papaphilippou, G. Papotti Acknowledgements: Beam-Beam and Luminosity studies.
Chapter 1 Functions and Their Graphs
LHC Collimation Working Group Monday, 21 March 2016 Analysis of collimator BPMs in the 2015 run A.Valloni, G. Valentino with input from R. Bruce, A. Mereghetti,
Paper 6 Notes. Safety Precautions Many questions will ask about minimising risks here are the most common things: – Live wires should not be touched (electricity)
 “Speed and Velocity”.  Key Questions How do you calculate speed? How can you describe changes in velocity? How can you interpret graphs of distance.
Introduction to Linear Equations
Distance On a coordinate plane Finding the length of a line segment.
Lines in the Coordinate Plane
Y.Papaphilippou Thanks to
From: A fast high-voltage switching multiwire proportional chamber
Muon Alignment: Organization
NIKA Oct 2009 Run: Calibration & Sensitivity
Lines in the Coordinate Plane
Tracking System at CERN 06 and 07 test beams
Slope of a Line (6.1).
1-6 Midpoint and Distance in the Coordinate Plane Warm Up
Lines in the Coordinate Plane
Lines in the Coordinate Plane
Graphing Linear Equations
May Composite all runs, all events.
L4 distance in the complex plane
Finding Lengths of Horizontal Lines on a Coordinate Plane
Graphing.
Lines in the Coordinate Plane
Describing Motion 2.1.
The Distance & Midpoint Formulas
GRADIENTS AND STRAIGHT LINE GRAPHS
西村美紀(東大) 他 MEGIIコラボレーション 日本物理学会 第73回年次大会(2018年) 東京理科大学(野田キャンパス)
Lines in the Coordinate Plane
31/3/2010 Difficult day… but at the end stable beams.
CLEAR’s Inductive Beam Position Monitors
Presentation transcript:

Run13 MUID Hit Efficiency RIKEN/RBRC Itaru Nakagawa 1

MUID Hit Efficiency 1.data driven method 2.HV Method Analysis note 1137Analysis note  V=  I R

HV method basics MUID has voltage sagging circuit in order to protect wires in tube in case of over current draw. The more the current, the more voltage to be dropped. So effective HV at tube will be lower than supplied voltage from power supply. 3 Empirical Formula: 5uA extra current causes typically - 100V voltage sagging.

Procedure Currents for Physics Runs Extract currents per HV chain (typically 20 tubes per HV chain) Subtract baseline currents Baseline currents are taken from cosmic runs (293 runs in Run13) Subtract number of broken wires Evaluate total number of active tubes to calculate average tube current 4 Average Tube Currents for Efficiency

5 Drawing Currents / HV Chain [uA] Run Number Currents per HV Chain Stable baseline Unstable baseline

Baseline Subtracted Current 6 Stable after baseline subtraction

7 Drawing Currents per HV Group Horizontal axis : Luminosity Average Current per Tube [uA] I0I0 I1I1 I2I2

Observered Currents Cross Checks Clear correlation of the drawing current vs. luminosity. Currents are proportional to the geometric distance from the beam pipe. 8 HV Group (Vertical)HV Group (Horizontal) I0I0 I1I1 I2I2 From geometry of HV group, one expect following relations Confirmed most of cases in both Vertical and Horizontal Planes

Current -> Efficiency 9

10 Efficiency

Conclusion MUID hit efficiencies were calculated using HV method to cross check data driven results. Resulting efficiencies calculated by HV method are generally overestimating these of data driven method According to MUID experts, the formula correlates between current and efficiency used in present analysis may not be up-to-date. Updating formula by redoing HV scan using cosmic data may resolve the discrepancy. 11

Problems However intrinsic difference between HV method and data driven is not trivial to make correction. The HV method evaluates average while data driven evaluates instantaneous efficiency. No good way to address this hasn’t been invented/established so far. 12

BACKUP 13

Drawing Currents 14

Baseline Linear Interpolation 15

16 Baseline Subtraction Raw current baseline After baseline subtraction

Broken Wire Estimation Number of Broken Wires are not in any database/records. Typical cases, the broken wires can be estimated by the drawing current during cosmic runs. Expected drawing currents are V*(1+2.5N) where N is number of broken wires and V=4.4kV. I=4.4uA (N=0), I=14uA (N=1), I=25uA (N=2)… 17

Broken Wire Estimation (Good Samples) Broken Wire = 0 Broken Wire = 1 Broken Wire = 2 Drawing Current Run Number

Broken Wire Estimation (Not Clear Samples) Broken Wire = 1 or 2 ?