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A fast and precise peak finder

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Title: A fast and precise peak finder


1
A fast and precise peak finder
  • V. Buzuloiu
  • (University POLITEHNICA Bucuresti)

Research Seminar, Fermi
Lab November
2005
2
The problem in HEP
  • When hit, a detector element produces a pulse of
    a known shape, with the peak and time position
    depending on the hit intensity and its instant.
  • By sampling one gets a few samples over the
    duration of the pulse, usually 3-5 samples,
    equally spaced, but randomly shifted relatively
    to the peak.
  • Given these samples the task is to find
  • The maximum value (the peak or amplitude) of the
    pulse
  • The peak position in time, relative to the
    sampling clock
  • The computation of the peak value and time
    position must be done
  • With high precision (e.g. 8 bit precision is
    achieved in 1)
  • In real time, i.e. the computation time must not
    exceed the minimum time interval between two
    consecutive pulses.

Research Seminar, Fermi
Lab November
2005
3
The pulse (know shape)
  • The mathematical description of the pulse-shaped
    signal is a real-valued function defined over a
    finite time slot
  • It can be interpreted as a point in an infinite
    dimensional space

Research Seminar, Fermi
Lab November
2005
4
Pulse sampling
  • When sampled, the signal is represented by a
    point (representative point) in a finite
    dimensional space (3D in this example).
  • The representative point depends on the shift
    between the sampling clock pulses and the signal.
  • If we want to extract a feature of the signal
    from a representative point we have to look for
    an invariant of the whole set of representative
    points.

Research Seminar, Fermi
Lab November
2005
5
Representative curve
  • Let T be the sampling period. Then the
    representative curve is given by shifting the
    samples over an interval 0, T.
  • Any invariant of the representative curve can be
    used to describe a feature of the signal, but
  • The invariant must be easy to compute.
  • The invariant must suit a family of signals,
    corresponding to excitations of different
    intensities.

Research Seminar, Fermi
Lab November
2005
6
The Linear quasi-invariant (1)
  • Assuming the representative curve of a signal is
    a plane curve, then all its points satisfy
  • where v and ai are constant, i1..3
  • ski are the samples in temporal order, k1.p
  • Thus, v is an invariant of the curve, with an
    extremely simple form, suited for fast
    computation.
  • If the signal shaping circuit is a linear one and
    (1) is true for a signal belonging to the family,
    then (1) is true for any signal in the family.
  • For linear shaping circuits it is enough to
    analyze the representation of a standard pulse
    (normalized peak value).
  • Unfortunately (1) does not hold for pulse
    signals, but

Research Seminar, Fermi
Lab November
2005
7
The Linear quasi-invariant (2)
  • We can try a plane which best fits the
    representative curve.
  • The errors of approximating v are quite small a
    few percent.

Research Seminar, Fermi
Lab November
2005
8
The piece-wise linear quasi-invariant (1)
  • If we the error constraints are stronger, the one
    plane approximation is not good enough.
  • The representative curve is in a e- neighborhood
    of the plane if the relative error in v does not
    exceed e.
  • We shall try to fit a few planes, each on a
    segment of the curve, so that for each segment
    the curve remains in an e-neighborhood of the
    corresponding plane.
  • The piece-wise linear filter will thus be

Research Seminar, Fermi
Lab November
2005
9
The piece-wise linear quasi-invariant (2)
Research Seminar, Fermi
Lab November
2005
10
The piece-wise linear quasi-invariant (3)
Research Seminar, Fermi
Lab November
2005
11
Conclusions
  • A precise and efficient method for extracting a
    signal feature has been presented
  • The method is applicable for extracting any
    feature of a signal with a known shape.
  • There is no limitation to 2D signals. The same
    method can be used for determining peak amplitude
    and location on images, with a sub-pixel precision

Research Seminar, Fermi
Lab November
2005
12
References
  • 1 V. Buzuloiu, Real time recovery of the
    amplitude and shift of a pulse from its samples.
    CERN/LAA/RT92-015, April, 1992
  • 2 V. Buzuloiu, A fast and precise peak finder
    for the pulses generated by the future HEP
    detectors. CHEP '92 , Annecy, France - pages
    823-827

Research Seminar, Fermi
Lab November
2005
13
Research Seminar, Fermi
Lab November
2005
14
Research Seminar, Fermi
Lab November
2005
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