Rolling Search For a GRB Cascade Signal - PowerPoint PPT Presentation

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Rolling Search For a GRB Cascade Signal

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Our Story so far. The Rolling cascade search scans the entire data sample ... is accomplished in 3 steps: ... to distribution produced by a Toy Monte Carlo ... – PowerPoint PPT presentation

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Title: Rolling Search For a GRB Cascade Signal


1
Rolling Search For a GRB Cascade Signal
  • Brennan Hughey
  • March 19, 2005

2
Our Story so far
  • The Rolling cascade search scans the entire data
    sample (year 2001) for a
  • significant clustering of events above background
  • The signal MC spectrum is ?e-produced cascades
    from a Waxman-Bahcall
  • (Band function) spectrum with break energies at
    7.7 X 104 and 1.0 X 107 GeV
  • Background rejection is accomplished in 3 steps
  • The high energy filter is applied cuts on nhits
    and OMs with gt 2 hits
  • Ndird(muon fit)/nhits a loose cut is applied on
    this parameter
  • 6 variable svm cut a support vector machine
    (which functions in a manner
  • similar to a neural network) is used for further
    reduction
  • Total background rejection 106

3
Two Searches
  • BATSE experiment finds two classes of bursts, so
    we have two searches
  • 1 second and 100 seconds

4
Support Vector Machine Selection
  • SVMs were chosen such that the total chance of
    getting a false detection was less than 1 for
    both searches in the whole analysis p value of
    .01 in the event of a detection 1 second search
    svm retains 80 of signal and requires 3 events
    for significance. 100 second search svm retains
    53 of signal and requires 4 events for
    significance.

___ - signal Monte Carlo _____ - real data _ _ _
_ - background MC (dCorsika)
keep
keep
5
Background rates
  • Number of surviving events are shown as a
    function of run number

6
Poissonian Distribution of Events
Chi2 test yields a result of 76 for both plots.
7
Poissonian Distribution of Events
Chi2 test yields a result of 75 for left plot
and 86 for right plot.
8
Check - Bins With 2 Events
Occurrence of bins with 2 events is not
significant, but provides a useful check. Real
data is compared to distribution produced by a
Toy Monte Carlo 18 or more bins with 2 events
will occur gt 5 of the time, so this is a little
on the high side, but not a statistically
significant fluctuation
9
Cascade Effective Volume
  • Use of uncontained events allows effective volume
    greater than detector size (but means no
    directional reconstruction)

10
Neutrino Effective Area
11
Expected Distribution of Detected Signal Energies
12
Comparison Between my Searchand
Satellite-Coincident Searches
  • Disadvantage
  • Requires multiple events for a detection.
  • This means far lower likelihood of getting lucky
    from a faint source 1X10-4 events fluctuates to
    1 way more often than 3, so requires a
    particularly bright event even more than other
    analyses
  • Limit on Waxman-Bahcall style flux from 667
    equivalent sources only 7X10-6 Gev/cm2 s sr
  • (This will look better if a more realistic
    distribution of fluences is used)

13
Comparison Between my Searchand
Satellite-Coincident Searches
  • Advantages
  • Can pick up GRBs missed by satellites
    -particularly useful given that CGRO went down in
    early 2000
  • Can detect ?-ray dark choked bursts as described
    in 2001 Meszaros and Waxman paper
    astro-ph/0103275.
  • Choked bursts would produce ? as normal GRBs
    but photons would fail to escape. Frequency
    unknown but could be as high as 100 times
    conventional GRB rate.
  • Utilizes cascade channel and therefore searches
    all sky rather than 2p (okay, Ignacios analysis
    can do this too)

14
Sphere of Sensitivity
  • Starting with a GRB at redshift of z1
  • Bring closer 2 effects happen
  • Geometric effect Fluence at Earth proportional
    to 1/r2
  • This makes a huge difference in the expected
    event rate.
  • Relativistic effect Spectrum changes shape as it
    moves closer Eb? increases as 1/(1z)2.

15
Sphere of Sensitivity long bursts
16
Sphere of Sensitivity short bursts
17
Coincidences With Other Experiments IPN3
  • With framework already in place, a check for
    temporal coincidence with satellite detections is
    fairly straightforward
  • 81 bursts during livetime from IPN3 catalogs time
    estimates obtained mostly from Konus-Wind
    lightcurves
  • For 100 second search cuts
  • Probability of 2 background events during burst
    times 0.01.
  • Probability of 3 background events during burst
    times 5X10-4.

18
Coincidences With Other Experiments MILAGRO
  • I will also be collaborating with the MILAGRO air
    shower array on AMANDA-MILAGRO coincidence studies

19
Backup Slide cuts
20
Backup Slide
50 TeV 43.43
100 TeV 48.99
300 TeV 56.24
700 TeV 61.01
1100 TeV 64.08

21
Backup Slide cuts
22
Backup Slide cuts
23
Backup Slide ndird cut
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