Title: Rolling Search For a GRB Cascade Signal
1Rolling Search For a GRB Cascade Signal
- Brennan Hughey
- March 19, 2005
2Our 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
-
3Two Searches
- BATSE experiment finds two classes of bursts, so
we have two searches - 1 second and 100 seconds
4Support 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
5Background rates
- Number of surviving events are shown as a
function of run number
6Poissonian Distribution of Events
Chi2 test yields a result of 76 for both plots.
7Poissonian Distribution of Events
Chi2 test yields a result of 75 for left plot
and 86 for right plot.
8Check - 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
9Cascade Effective Volume
- Use of uncontained events allows effective volume
greater than detector size (but means no
directional reconstruction)
10Neutrino Effective Area
11Expected Distribution of Detected Signal Energies
12Comparison 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) -
13Comparison 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)
14Sphere 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.
15Sphere of Sensitivity long bursts
16Sphere of Sensitivity short bursts
17Coincidences 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.
18Coincidences With Other Experiments MILAGRO
- I will also be collaborating with the MILAGRO air
shower array on AMANDA-MILAGRO coincidence studies
19Backup Slide cuts
20Backup Slide
50 TeV 43.43
100 TeV 48.99
300 TeV 56.24
700 TeV 61.01
1100 TeV 64.08
21Backup Slide cuts
22Backup Slide cuts
23Backup Slide ndird cut