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Cosmic Ray Pipe Calibration of 1kt

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Bonsai fits t0 with likelihood. Michael Smy, UC Irvine. Annealing Algorithms: ... Try to understand auto-fit better to incorporate charge pattern into Bonsai ... – PowerPoint PPT presentation

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Title: Cosmic Ray Pipe Calibration of 1kt


1
Cosmic Ray Pipe Calibration of 1kt
K2K Collaboration Meeting Jan. 2004
  • New Data Taken in Summer 2003
  • Improve Event Reconstruction
  • Test of Particle ID (Jeremys Talk)
  • Check of through-m basic plots (see Asias
    Talk)
  • J. Argyriades, J. Griskevich, K. Hayashi,
  • S. Mine, M. B. Smy, M. Tuchscher, J. Zalipska

2
Trigger Counters for Cosmic Ray Pipe
Michael Smy, UC Irvine
3
Summer 2003 New Data
  • Improved (circular) trigger counters
  • Took data at z4m to compare with entering muons
    (0 is center of tank and z is vertical, not beam
    direction)
  • Improved statistics at z2m, z0m, and,
    especially, z-2m (sssllloooowww!!)

Spring 2004 More Data
  • do z2m with high statistics
  • If possible, do z1m, z-1m

Michael Smy, UC Irvine
4
(No Transcript)
5
Bonsai Improved Point Fit Algorithm for 1kt
Michael Smy, UC Irvine
6
  • Timing
  • Charge Pattern
  • Particle ID
  • Timing
  • Charge Pattern

Auto-Fit
MS-Fit
Michael Smy, UC Irvine
7
First Step of Auto-Fit Fit PMT times assuming
all light comes from a single point (point fit)
Michael Smy, UC Irvine
8
Point Fit in Cherenkov Detectors
  • Selection of hit PMTs
  • Definition of goodness variable for a given point
    x based on relative timing alone, NOT charge
    pattern
  • Search detector volume to get close to absolute
    maximum of goodness
  • Fine-tune best-fit point for maximum goodness

Michael Smy, UC Irvine
9
Goodness Definition
  • pfit defines the goodness and chooses t0
    as center of a sliding timing window
  • Bonsai fits t0 with likelihood

Michael Smy, UC Irvine
10
Annealing AlgorithmsFind Absolute Minimum!
  • Analogy with solidification
  • Nature can find global (energy) minimum, if
    system cools slowly enough
  • Usual implementation take sometimes random steps
    uphill (governed by a Boltzmann factor), then
    slowly reduce temperature
  • See Numerical Recipes for more details

Michael Smy, UC Irvine
11
Branch OptimizationNavigating SuccessiveAnnealin
g Iterations
Trace all branches for a range of likelihoods!
A Search Tree
Michael Smy, UC Irvine
12
Bonsai Start Position Where to Grow?
  • Hit Selection (High Charge Hits)
  • Time Ordering
  • Use Suitable Combination of Four each
    combination gives one/two vertex
  • Use Best (Highest Likelihood) Vertex

Michael Smy, UC Irvine
13
Four-Hit Combinations
  • Need to Solve
  • or with
  • Choose
  • and convert to
  • Solve

Michael Smy, UC Irvine
14
Bonsai Results
Michael Smy, UC Irvine
15
Further Improvements and Checks
  • Fit neutrino data and MC with Bonsai check if
    auto-fit gives better results, if started from
    Bonsai-vertex
  • Fit partially contained events, where systematic
    effect (longitudinal vertex pull) is largest
  • Try position average for probability density
    function (possibly with more data from Spring!)
    and check for systematic position dependence
  • Try to understand auto-fit better to incorporate
    charge pattern into Bonsai
  • Maybe allow more early high-charge hits the
    larger the charge asymmetry is in a vertex, so
    that stopping/exit point hits dont pull the
    vertex

Michael Smy, UC Irvine
16
All hits except near exit/stopping point (3m
circle at bottom)
hits near exit/stopping point(1m circle at
bottom)
Michael Smy, UC Irvine
17
Conclusions
  • Improved Cosmic Ray Pipe Hardware
  • Took a lot of data in 2003
  • Want to take more in 2004
  • Data important for several calibrations /
    investigations of systematics
  • Improved point fit vertex resolution and
    systematic pull

Michael Smy, UC Irvine
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