Transversal calibration of Geiger Cells

Slides:



Advertisements
Similar presentations
LHCb PatVeloTT Performance Adam Webber. Why Upgrade?  Currently we de-focus the beams o LHCb Luminosity ~ 2x10 32 cm -2 s -1 o ~ 1 interaction per bunch.
Advertisements

June 6 th, 2011 N. Cartiglia 1 “Measurement of the pp inelastic cross section using pile-up events with the CMS detector” How to use pile-up.
M. Dracos 1 Double Beta experiment with emulsions?
Error Propagation. Uncertainty Uncertainty reflects the knowledge that a measured value is related to the mean. Probable error is the range from the mean.
1Calice-UK Cambridge 9/9/05D.R. Ward David Ward Compare Feb’05 DESY data with Geant4 and Geant3 Monte Carlos. Work in progress – no definitive conclusions.
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
© Imperial College LondonPage 1 Preliminary Studies of the Tracking Resolution at DESY Hakan Yilmaz.
1 EMCal design MICE collaboration meeting Fermilab Rikard Sandström.
M. Dracos, CEA, 10/04/ Double Beta experiment with emulsions?
1 Psych 5500/6500 Statistics and Parameters Fall, 2008.
CENTRE FOR INNOVATION, RESEARCH AND COMPETENCE IN THE LEARNING ECONOMY Session 2: Basic techniques for innovation data analysis. Part I: Statistical inferences.
The Summery of the NEMO 3 meeting. The topic Discussed 1) Some problems in variation of the gain of the counters and resoulution of the counters (for.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 8: Estimating with Confidence Section 8.1 Confidence Intervals: The.
Statistics and Quantitative Analysis Chemistry 321, Summer 2014.
Measures of Variability In addition to knowing where the center of the distribution is, it is often helpful to know the degree to which individual values.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 8: Estimating with Confidence Section 8.1 Confidence Intervals: The.
Calibration of the ZEUS calorimeter for electrons Alex Tapper Imperial College, London for the ZEUS Collaboration Workshop on Energy Calibration of the.
Rosen07 Two-Photon Exchange Status Update James Johnson Northwestern University & Argonne National Lab For the Rosen07 Collaboration.
SNS neutron background measurements using a portable 3 He LPSD detector.
Optimising Cuts for HLT George Talbot Supervisor: Stewart Martin-Haugh.
ACE Page 1 ACE ACE PresentorInstitution. ACE Page 2 ACE Mass Fractionation in the Composition of Solar Energetic Particles Although it is well known that.
Ch 10 – Intro To Inference 10.1: Estimating with Confidence 10.2 Tests of Significance 10.3 Making Sense of Statistical Significance 10.4 Inference as.
Bob Jacobsen Aug 6, 2002 From Raw Data to Physics From Raw Data to Physics: Reconstruction and Analysis Introduction Sample Analysis A Model Basic Features.
1 Performance of a Magnetised Scintillating Detector for a Neutrino Factory Scoping Study Meeting Rutherford Appleton Lab Tuesday 25 th April 2006 M. Ellis.
VIeme rencontres du Vietnam
Tracking (wire chamber) Shield radon, neutron,  Source foil (40 mg/cm 2 ) Scintillator + PMT 2 modules 2  3 m 2 → 12 m 2 Background < 1 event / month.
NEMO3 analysis and SuperNEMO development Benjamin Richards D14.
Results of the NEMO-3 experiment (Summer 2009) Outline   The  decay  The NEMO-3 experiment  Measurement of the backgrounds   and  results.
Medium baseline neutrino oscillation searches Andrew Bazarko, Princeton University Les Houches, 20 June 2001 LSND: MeVdecay at rest MeVdecay in flight.
Reconstructing energy from HERD beam test data Zheng QUAN IHEP 3 rd HERD work shop Xi’an, 20 Jan
By Matthew Kauer First Year Report – 15 June 07 Measurement of 2b2ν Half-Life of Zr96 and Lightguide Studies for SuperNEMO Calorimeter Matthew Kauer UCL.
Update on Diffractive Dijets Hardeep Bansil University of Birmingham 12/07/2013.
Development of a pad interpolation algorithm using charge-sharing.
G.R.White: F.O.N. T. From Ground Motion studies by A.Seryi et al. (SLAC) ‘Fast’ motion (> few Hz) dominated by cultural noise Concern for structures.
Siena, May A.Tonazzo –Performance of ATLAS MDT chambers /1 Performance of BIL tracking chambers for the ATLAS muon spectrometer A.Baroncelli,
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 8: Estimating with Confidence Section 8.1 Confidence Intervals: The.
TRIUMF laboratory studies Christopher Hearty University of British Columbia/IPP 27-Sep-2010.
ICARUS T600: low energy electrons
SUR-2250 Error Theory.
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Sebastian Kuch University Erlangen-Nürnberg
Tracking results from Au+Au test Beam
Preliminary Study of 214Bi Background in 100Mo foils
Atomic Radius.
Periodic Trends Chemistry 5(C)
Shiva King, UCL Dubna December 2007
By C. Kohn Waterford Agricultural Sciences
Observation of Diffractively Produced W- and Z-Bosons
Data Analysis in Particle Physics
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
SOS Cerenkov Purpose: provide PID for NA Cerenkov efficiency studies
Chapter 8: Estimating with Confidence
Observation of Diffractively Produced W- and Z-Bosons
PHYS 3446 – Lecture #3 Wednesday, Jan. 26, 2005 Dr. Jae Yu
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
PHYS 3446 – Lecture #5 Monday, Feb Dr. Brandt
Double Beta experiment with emulsions?
Objectives 6.1 Estimating with confidence Statistical confidence
Objectives 6.1 Estimating with confidence Statistical confidence
Presentation transcript:

Transversal calibration of Geiger Cells Wire chamber electronics  ADC & TDC Drift_time(ns) = (TDCmax – TDC(anode) × 20) The drift time is also known as the anode time, ta TDCFAST_MIN < TDCFAST < TDCFAST_MIN TDCFAST_MAX = 307 TDCFAST_MIN = 220 Range of TDCFAST_MIN needs calibrating to ensure we are measuring as many Geiger hits as possible Optimized value somewhere between 0 and 220 How to actually use TDC and get something physical out of it i.e. how to get the distance measurements to the anode from the drift time (which comes from these TDC’s) V, I. Tretyak, Prague, Nov 24-26, 2004 Idea: if the value of TDCFAST_MIN decreases, the TDC_FAST distribution (aka TDCanode) is biased to lower values and from the above equation, the drift time increases, thereby increasing the distance travelled by the electron, and the effective size of the Geiger cell. As TDCFAST_MIN increases, the drift time decreases.

Geiger Cell Layout More layers Layer 3 Layer 2 Layer 1 e- Source Foil But in actuality…

Geiger Cell Layout More layers Really an ‘octagonal’ structure: Should really overlap Layer 3 Layer 2 Layer 1 That’s one cell on its own that is hexagonal, the composite structure can be a little more complicated with overlapping e- Source Foil But software not sensitive to size of Geiger cells – it just knows TDC values…

Geiger Cell Layout More layers TDC_FAST_MIN = 220  Too low and you MISS events Layer 3 Layer 2 Layer 1 As far as the software is concerned, the geiger cells are circles, with a radius dictated by the value of TDC_FAST_MIN e- Source Foil Track detected by 2 cells (shaded)

Geiger Cell Layout More layers TDC_FAST_MIN = 0  Too high and you DOUBLE COUNT events Layer 3 Layer 2 Layer 1 e- Source Foil Track detected by 5 cells (shaded)

Number of events originating from layer N. - Includes everything (1 tracks, 2 tracks, etc events) - Just one cut (on energy) Observations: - More events are detected early on Kink (in between layers 4 and 5) due to high levels of radon background Therefore: USE PHASE 2 DATA TO ELIMINATE BACKGROUND (ALS0 VICTOR’S SUGGESTION) USE HIGH ENERGY ELECTRONS > 2MeV Betabeta_2533: Nov 05 Betabeta_4376: Sep 03 Phase 1 data Phase 2 data TDCFAST_MIN = 220 Phase 1 data known for having more background than phase 2 data

Number of HIGH ENERGY events originating from layer N. Still a peak Probably best to initially focus on first block of geiger cells (layers 1-4) Next: just vary TDCFAST_MIN for all layers (equally) and see what impact it has on the total number of tracks detected per run (this is layer independent):

Variation of the mean number of tracks with TDCFAST_MIN Phase 1 For each and every event look at the mean number of tracks per event First observation (see last few pages): you expect the number of n-track events to decrease, peaking at ~ 1, so this mean of ~ 1.2 makes sense This mean is increasing with –TDCFAST_MIN (past 1) so we have more 2,3,4 … track events being registered( thus pushing the mean to higher values) Also expect more 1 track events to pull back the mean but there are more events with 1 track so overall mean will be higher than 1 These tiny fluctuations not due to random error caused by reconstruction phase TDC FAST_MIN 280 260 240 220 200 180 160 140 120 100 80 60 40 20 % (220) 64.7 87.7 96.8 100.0 100.8 101.4 101.8 102.0 102.3 102.5 102.7 102.8 102.9

However, these numbers should not be used to calibrate TDCFAST_MIN as it looks at all events (no cuts) i.e. it looks at everything that NEMO can through at it and averages this mess – which isn’t wise! This is just to give an indication as to what varying TDCFAST_MIN can do

Variation of number of selected events (past cuts) with TDCFAST_MIN Phase 1 Although this is the number of selected events, the cuts ensure that this is equal to the number of tracks (no averaging nonsense now) CUTS APPLIED NOW FINALLY APPLY SOME CUTS Nscin = 1 Ntra = 1 Emin = 2MeV Charge < 0 Assoc - Distribution going in the right direction, but not really flattening off (too many fluctuations) - Doesn’t appear to give us the necessary precision to calibrate TDCFAST_MIN This graph is much more meaningful as it doesn’t average over everything, instead just what we need.

Origin of tracks: in terms of layer CUTS APPLIED Phase 1 __ Total __ Layer 1 __ Layer 2 __ Layer 3 __ Layer 4 __ Layer 5 __ Layer 6 Note: there are no events that originate from the 7th, 8th and 9th layers (such events are not relevant to NEMO)

Close up: CUTS APPLIED Phase 1 Layer 1 Layer 2 Layer 3 Layer 4 Layer 5

Variation of number of selected events (past cuts) with TDCFAST_MIN Phase 2 CUTS APPLIED

Origin of tracks: in terms of layer CUTS APPLIED Phase 2

Close up: CUTS APPLIED Phase 2 Layer 1 Layer 2 Layer 3 Layer 4 Layer 5 Layer 6 NOTE: if TDC value > 220 (i.e. smaller distance), it should have fewer events (but not always – it depends on how low you make it) If TDC value < 220 (i.e. greater distance, it need not have more events but MUST NOT have fewer)

Variation of the number of ‘geiger cells hits’ with TDCFAST_MIN CUTS APPLIED Variation of the number of ‘geiger cells hits’ with TDCFAST_MIN Phase 2 __ all hits __ non associated hits __ hits associated with first track

Summary and what next: - NEMO’s current TDC calibration good - Can expect a 3% increase in number of tracks (globally) - Do not want to calibrate all layers (too much background in between gaps?) Repeat for (i) crossing electron (ii) change TDC_FAST_MIN for each layer