Drift chambers and pattern recognisation
1 / 28

Drift Chambers and Pattern recognisation - PowerPoint PPT Presentation

  • Uploaded on

Drift Chambers and Pattern recognisation. Fabrizio Cei Pattern recognition ideas INFN & Pisa University Hajime Nishiguchi Kapton foils for DC cathode University of Tokyo Johny Egger DC status and tests PSI. DC Status and Tests. Hood and inner cathodes Print foils p M1 test

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
Download Presentation

PowerPoint Slideshow about ' Drift Chambers and Pattern recognisation' - dysis

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Drift chambers and pattern recognisation
Drift Chambers and Pattern recognisation

  • Fabrizio Cei Pattern recognition ideas INFN & Pisa University

  • Hajime Nishiguchi Kapton foils for DC cathode

    University of Tokyo

  • Johny Egger DC status and tests


Dc status and tests
DC Status and Tests

  • Hood and inner cathodes

  • Print foils

  • pM1 test

    • Drift time measurement

    • Cathode read out

  • Next future

Cathode hood

Delivery and first tests:

second halfof July

Inner cathodes
Inner cathodes

  • measurement of deformation with applied forces

  • simulate forces (level arm) with wires through the gas holes

  • eventually stabilize free edges with tiny foam support(rohacell)

Print foils

Good results of pM1 tests

hood-foil tests with mounting tool

Inner cathode foil mounting test

possible foil pattern deformations

Final design of the foil pattern


if all requests are satisfied by the manufactory

H. Nishiguchi

Kapton foils for DC cathodes


Low-Mass: reduce resolution deterioration due to multiple scattering

Kapton film 12.5 µm thick;

Aluminum deposition 50 nm thick (NOT copper !! )

Accuracy: precise position reconstruction with vernier pad method requires manufacture accuracy ~ ±20 µm and deposition by “Etching”.


Sample foils with3 Japanese companies suffered frommany problems, buta sample foil which satisfies all requests (except cost) was built. Contacts with european factories under way from PSI group.

pM1 test

with the 4 test chambers

Anode 1, 2

plan 0 to 4

digital Scope

8 channels

500 MHz

500 points, 8 bits

Cathodes of anode 2

plan 2,3


8 channels

100 MHz

500 points, 8 bits

24 Cathodes

Anode 1,(2,3)


24 double channels

Anode 3

plan 0 to 4


Read out

DC tilted by a1

No Field

P= 158 & 258 MeV/c

1.00 & .60 Tesla

P= 158 & 258 MeV/c

Dparallel < 1 %

DC tilted by a2

s = .21 ns

Behavior of amplifiers in the 1 Tesla magnetic field

  • no measurable difference on induced test pulses

    • time definition : Dt = .12 ns ( s = .8 ns)

    • pulse integral : DI < .04 % (s = .16 % )

  • -no measurable effect in the magnetic field even with magnetic SMD capacitors and resistances ( contacts)

    • approximate the field distortion with the new „non magnetic“ SMD elements, cables, connectors

Drift time

Subtract y = b1 + b2*(sin[w*(t-t0)]): fit of the 225 first points

pM1 run : w = 2p* 50 MHz

Look for the first n=4,5 adjacent points above threshold

Linear fit of first n signal points and n last background points (=0)


(Fit-measured time) against drifttime

Drift time

t3 against t0

Sqrt( S(Fit-measured time)2 ) = > 2.0 ns2.8 ns(~.1 mm)

1.0 ns < s(Fit-measured time) < 2.1 ns

Difference between 2 colors in t1 shows misalignment of anode w2p1 of ~.1 mm



u1 u2




Cathode readout

Anode has a shielding effect of a few percents

Cathode u1 = n1*Anode * (1+c2 * sin[c3*x] + e * c2*sin2 [c3*x])

Cathode u2 = n2 *Anode * (1-c2 * sin[c3*x] - e * c2*sin2 [c3*x])

Cathode d1 = n3 *Anode * (1+c2 * cos[c3*x] + e * c2*cos2 [c3*x])

Cathode d2 = n4 *Anode * (1-c2 * cos[c3*x] - e * c2*cos2 [c3*x])

e value for traces on 1 side of the anode is the opposite of the value for traces on the other side

e and the cathode normalization factors ni are correlated in the calibration procedure

Calibration procedure not yet optimal : distributions are not flat

0.34 mm < s(Fit-measured value) < .60 mm

0.11 mm < s(Fit-measured value) < .35 mm

June 27

July 8

Cross talks
Cross talks

a) to next plane < 1%

b) To adjacent anode: 1) small on integrals

2) important for timimg

c) to near cathode of adjacent anode: Important

Corrections to b) and c) well defined by measurement of events without signal on the adjacent anode 

„Domino „ read out on all channels is important

1000 points, 500 MHz, 10 bits is ideal

Present and near future plane
Present and near future plane

  • Analysis of pM1 run(rich sample of data)

    • Magnetic field

    • Anode shielding, cross talk

    • Exotic events

  • Tests

    • Foils

    • Amplifiers and prints

    • High rates

  • Ordering

    • Foils

    • Frames and prints

    • Amplifiers and cables

  • Construction

  • Test with first elements(maybe within this year)

Positron Tracker





Medium Prototype

Charge division & Cosmics

Full Prototype



Full Detector (18 DC)







Ideas for pattern recognition

Pattern recognition

problem in MEG:

DC integration

time~ 1 ms

Positron rate on drift chambers~ 5 MHz

Some superimposed

tracks in each DC


Two turns




  • Chambers are formed by two independent sensitive elements;

  • From each of them a three-dimensional information of the

    crossing point(“hit”) can be extracted

    DC signals were already analysed up to this level

  • Wiresandsignal formationnot simulated.

Strategy outline

  • Define a segment of track as two pairs of hits (ora pair and an isolated hit)withintwo adjacent chambers(one wedge);

  • Perform afastandreliable estimation of the positron momentum associated to any segment;

  • Look at any couple of segments which havethe same pair of hits(orthe same isolated hit)as end (one segment) and beginning (the other);

  • Select the couples of segments having compatible momentum components and total momentum;

  • Within this sample, join the couples of segments which satisfy the geometrical requirements for a good track;

  • Save all “tracks” formed by a minimum number of segments (4 or 5);

  • Absolute timing informationnot used (by now).

Not enough time for details; only

Fast momentum estimation


principal component analysis

in quadratic approximation:


to determine ai, bij.

hi = one of the three spatial coordinates of one hit.

Sum overthe hits (3 or 4) in one wedge associated to a segment.

Training by MC events: sample of 5 x 105 Michel positron tracks,

corresponding to ~ (1  3) x 104 tracksin each wedge.

Tracks with  4 segments

Momentum reconstruction in one

segment minus true value

N.B. This is NOT

a momentum reconstruction.



Black: true

Red: estimated





Total momentum

Linking segments

  • Any chamber (except #1 and

  • #17) is a part of two“wedges”

  • we can link two segments in

  • adjacent wedges requiring that

  • they have one common point.

  • Further selections:

  • compatibility of momentum vectors in adjacent segments;

  • compatibility of new segment

    with extrapolated track.

Segments with the same

starting point.

Algorithm performances

Michel positronsin the solid angle covered by the spectrometer or isotropically over the whole detector; no significant differences; positron momentum> 30 MeV;

# of correctly reconstructed tracks

Efficiency = ———————————————

# of generated tracks

A “by-product”: momentum estimation

Not a momentum


but a reasonable

starting point for

more refined tracking

algorithms (like



  • Algorithm looks to work well; e> 95 % for 5 mixed tracks & > 91 % for 10; more efficient for higher momentum tracks (encouraging !).

  • Performances be only slightly(~ 1 %) affected by worsening the

    z resolution or reversing the scanning direction.

  • Technical note soon.

  • Suggestions (to investigated):

    begin the search from outermost radii & try to recover isolated hits.

  • Possible improvements:

    • perform a cuts fine tuning;

    • follow all possible links between segments;

    • use absolute timing information as linking tool;

    • perform a better track extrapolation;

    • include random noise;

    • insert signal propagation in the simulation code …

P m1 tests with four test chambers and various readout digiscope 500 mhz flash other adcs
pM1 testswithfour test chambersand various readout(digiscope 500 MHz, flash & other ADCs ..)

No Field

P= 158 & 258 MeV/c

1.00 & .60 Tesla

P= 158 & 258 MeV/c

Dparallel < 1 %

Measurement of

four DC times

DC tilted by a1

DC tilted by a2

s = .21 ns

Trigger timing resolution