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Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 Beam test 2003Beam test 2003 Goal: charge discrimination algorithm with high efficiency.

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Presentation on theme: "Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 Beam test 2003Beam test 2003 Goal: charge discrimination algorithm with high efficiency."— Presentation transcript:

1 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 Beam test 2003Beam test 2003 Goal: charge discrimination algorithm with high efficiency and low contaminationGoal: charge discrimination algorithm with high efficiency and low contamination Signal characterization for charges from Beryllium to NeonSignal characterization for charges from Beryllium to Neon Probability P Z that a cluster is generated by a particle of charge ZProbability P Z that a cluster is generated by a particle of charge Z Implementation of a probability test for the estimation of the charge associated to a trackImplementation of a probability test for the estimation of the charge associated to a track Status of the workStatus of the work Beam Test Oct 2003: Ion Charge Analysis

2 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 Beam test 2003 Ions of average energy » 10 GeV/n extracted from an Indium beam of 158 GeV/n on a Beryllium target, selected by A/Z ratio: - A/Z = 1.00, 6% of tot. ev., mainly protons - A/Z = 2.00, 77 % of tot. ev., He component is dominant (Be is suppressed) - A/Z = 2.25, 16 % of tot. ev., 9 Be component is dominant - A/Z = 2.35, 1 % of tot. ev., 7 Li component is dominant (He is suppressed)

3 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 Sample selection Calibration ●  ped » 2.5(3) for p(n)-side Clusterizzation ● Seed with Signal/Noise (SN) > 5. ● Neightboring strips with SN > 2. Identification of an event of Z>2 ● One and only one cluster for each ladder/side (only 12 clusters) ● Cluster charge amplitude > helium total charge ● A good probability for  2 of the linear fit between the 6 points of p(n) side

4 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 Cluster amplitude: total charge of a cluster, all strips (  s i ) Impact Point (IP): obtained with a 5 point fit impact point VS cluster amplitude: n-side NeFONCBBe Saturation

5 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 Cluster amplitude: total charge of a cluster, all strips (  s i ) Impact Point (IP): obtained with a 5 point fit impact point VS cluster amplitude: p-side Superposition NeFONCBBe The charge separation will be done with the n-side knowledge...

6 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 n-side:  distribution Three “  regions” ● Readout region:  · 0.15 or  > 0.85 ● Interstrip region: 0.15 <  · 0.35 or 0.65 <  · 0.85 ● Not read strip region: 0.35 <  · 0.65 RRN 104  m  : charge center of gravity between the two higher strips Charge samples ● 3 different charge specta ● Charge peak selection on the sixth ladder

7 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 n-side: signal characterization ● Sixth ladder amplitude selection in a restricted window around the energy loss peaks (first ladder peak selection to study the sixth ladder) ● Study the charge distributions on the other ladders ● Signal characterization with a Landau ­ Gauss + exponential tail ● Low efficiency and great purity samples 7 parameters ● 1 for the position (MPV) ● 4 shape parameters (slope, ,...) ● 2 normalizations

8 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 n-side: purity of the samples ● fit the all charges spectrum of the sixth ladder: the only free parameters are the normalizations of the charge distributions ● integration of the charge contributions around the peaks ● sample purity : » 98% with a Z – 1 contamination of » 1% ● low efficiency B C N contamination of B In the C sample Z – 1 improve the efficiency using a likelihood based test

9 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 n-side: shape parameters ● Shape parameters –  : width of the Gaussian distribution –  : width of the Landau distribution – : slope of the exponential function – w exp : weight of the exponential function (Area exp /Area tot ) ● Given Z and  these parameters are similar for the different ladders (the maximum variation is of the order of »10%) ● MPV values differ from ladder to ladder   w exp

10 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 n-side: shape parameters Nitrogen (readout region) The shape is not so different

11 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 n-side: relative gain ● Ladder to ladder differences are parametrized by a traslation coefficient: ● The parameter G l is independent from Z and   relative gain ● A unique charge parametrization can be used for all the ladders  G 2 » 2% G l function of Z for different ladders (  fixed) G l function of Z for different  (ladder fixed)

12 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 n-side: probability and likelihood Probability distribution on the single ladder ● The probability P Z that a cluster corresponds to a Z ion is defined as: Some Oxygen in the Fluorine sample Likelihood on n ladders ● we want 0 · L · 1, then: – if L(Z) < 10 -50  L(Z) = 10 -50 – L(Z) = 1 + L(Z)/(50¢n) L(Z = 8)

13 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 n-side: likelihood ratio test (6 ladders) Inefficiency (Nitrogen impurity) contamination contamination (Oxygen impurity) inefficiency ● which test for the charge estimation? – Maximum likelihood: has the maximum efficiency – Recursive likelihood ratio: a parametrized contamination Separation between Z and Z – 1 Separation between Z and Z + 1

14 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 n-side: inefficiency and contamination (6 ladders) ● c 1 and c 2 are nearly charge independent ● for c 1 = 0.53 e c 2 = 0.40  efficiency »98% and contamination »1% ● tests have been applied to clean samples (» 98%) tuning c 1 and c 2 ● inefficiency: percentage of not recognized Z events ● contamination: percentage of not–Z events recognized as Z

15 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 n-side: inefficiency and contamination (6 ladders) ● Inefficiency and contamination can be an overestimated because the sample are not clean (there is »1% of Z – 1 events in each Z sample)

16 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 n-side: charge with only one ladder Charge reconstructed with the sixth ladder Charge reconstructed with the likelihood ratio of 5 ladder 100.0060.993 90.0130.9450.041 80.0140.9530.0290.001 70.0110.9580.0270.001 60.010.9610.026 50.0090.9620.0260.001 40.9450.0420.003 Z45678910 ● “real charge” estimated with 5 ladders ● the charge on the last ladder is reconstructed with the maximum likelihood method ● the right charge is reconstructed at » 95% while at »3% is reconstructed as Z – 1 iteration of the charge selection procedure...

17 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 p-side: problems ● superposition of the total charge profile function of I.P. for the different ions ● not linear relation between amplitude and energy deposited [ B. Alpat et al., NIM A 540 (2005) 121–130 ] ● a deformed  distribution (the spatial resolution has a strong systematic component) NeFONCBBe

18 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 p-side: problems p-side ● superposition of the total charge profile function of I.P. for the different ions ● not linear relation between amplitude and energy deposited [ B. Alpat et al., NIM A 540 (2005) 121–130 ] ● a deformed  distribution (the spatial resolution has a strong systematic component)

19 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 p-side: problems HeliumCarbonMRR ● superposition of the total charge profile function of I.P. for the different ions ● not linear relation between amplitude and energy deposited [ B. Alpat et al., NIM A 540 (2005) 121–130 ] ● a deformed  distribution (the spatial resolution has a strong systematic component)

20 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 p-side: strip correction Proof ● A n-cluster is associated to each p-cluster ● On p-side only the seed strip is considered ● Interstrip region: 0.45<  p <0.55 ● On n-side the cluster amplitude is considered ● Combine the information of all the ladder using the relative gain Proposed correction ● a polynomial fit of the seed VS n-side amplitude ● Linearization (hard, soft) ● Correction applied to all the p-cluster strips (the same for all the ladders) no correction soft correction hard correction Hypothesis ● The  deformation could arise from a not linear behaviour in the single strip signal

21 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 p-side:  distribution ● more uniform ● Implantation structure

22 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 p-side: spatial resolution ● ladders allignement ● fit of a 5 point track ● analisys of the residual  x distribution ● evaluation of the spatial resolution (»   x -  fit ) residual

23 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 p-side: charge characterization ● Charge samples are obtained with the n-side likelihood test ● Clean separation in  region is now possible also on p-side ● The ladders differences can be parametrized with a single parameter (relative gain) ● A set of p.d.f. have been calculated for the different ions ● Costruction of a p-side likelihood test

24 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 p-side: test efficiency 90.0050.050.943 80.0950.9030.002 70.1090.8850.0020.001 60.0020.0250.9840.0050.001 50.0120.9610.026 40.9490.05 Z456789 Charge reconstructed with 6 n-side ladders Charge reconstructed with 6 p-side ladders ● the p-side charge is reconstructed with the maximum likelihood method ● the right charge is recognized in » 90% of the events

25 Alberto Oliva INFN/University of Perugia Tracker meeting 24/10/2006 Status of the work  Implementation of a charge discrimination algorithm with high efficiency and low contamination. An AMS-note is in preparation:  Use the algorithm to find fragmentation events and to study their topology  Compare these result with a FLUKA Monte Carlo simulation

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