1. Erik Strahler UW-Madison 4/27/2008
Searching for Astrophysical Neutrinos in Coincidence with Gamma Ray Bursts Madison GRB Workshop
Erik Strahler
UW-Madison
4/27/2008

2. Outline Data Sample Simulation Event Selection
Sensitivity and Discovery Potential
Unblinding
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MuDAQ GRB Search

3. 05/06 Data Sample
GRBs which triggered the Swift, Hete-II, and/or Integral Satellite in
119 Bursts
AMANDA-II MuDAQ data sample
Sieglinde mass filtering L1
Hit Calibration Modified Crosstalk Cleaning Bad OM Cleaning Good Amplitude, TOT, LE Time Selection JAMS Reconstructed Angle > 70 Degrees L2
Multiplicity Trigger Fired Direct Walk Reconstructed Angle > 80 Degrees L3
Add in L2 Wimp trigger (string triggered events) 16 Iteration Pandel Fit Reconstructed Angle > 80 Degrees
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MuDAQ GRB Search

4. Burst Durations Quantified by the parameter T90
For Swift bursts, provided by Mike Stamatikos
For HETE / Integral, conservative estimates based on light curves
Take Min(Trigger Time, T90 Start Time) to be conservative
Total on-time: s
GRB Trigger Time
t90
Pre-Burst
Post-Burst
dt90 1s
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MuDAQ GRB Search

5. Data Extraction Extract 2 hour intervals centered on each trigger
Blind and separate a 10 minute window around each burst
Blind longer regions for unique bursts A and
11 bursts not filtered, 14 bursts with no data taken
10 min
2 hour
GRB Trigger
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MuDAQ GRB Search

6. Detector Stability Use 2 hour windows for stability studies
7 bursts removed due to stability issues
Final Data Set: 86 Northern Sky GRBS
Event Rates
Rate Distribution
Time between Events
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MuDAQ GRB Search

7. Simulation Processed identically to data
Weighted to average WB prompt emission spectrum
Flux Normalization: 4.5E-9 GeV s-1 sr-1 cm-2
Generator
NUSIM
Energy Range
10^1 – 10^8 GeV
Zenith Range
80 < Zen < 180
Events/File
10000
Photon Sim.
PTD
Ice Model
MAM
AMASIM
Aluminum-opt5
OM Sens
Standard
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MuDAQ GRB Search

8. Background Estimation
Use entire L3 dataset to estimate background
Gives enough statistics for strong background rejection
Scale to the summed GRB on-time
Year
Livetime
L3 Events
2005
199.29
5.21M
2006
186.95
4.89M
on-time background events at L3
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MuDAQ GRB Search

9. Zenith Dependence Data and Signal MC show strong zenith dependence
Optimize cuts as a function of zenith to account for this
Place fake GRBs in 10 degree increments in zenith
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MuDAQ GRB Search

10. Cut Parameters – Space Angle
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MuDAQ GRB Search

11. Cut Parameters - Jkchi 11/16/2018 8:16:52 AM11/16/2018 8:16:52 AM
MuDAQ GRB Search

12. Cut Parameters - Sigma 11/16/2018 8:16:52 AM11/16/2018 8:16:52 AM
MuDAQ GRB Search

13. Cut Optimization Optimize for Model Discovery
5s observation in 90% of experiments
Search for best cuts for summed contribution of all signal events
Tight cuts to remove the summed background
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MuDAQ GRB Search

14. MDP Optimization Space
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MuDAQ GRB Search

15. Optimal Cuts Space Angle Likelihood Ratio
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MuDAQ GRB Search

16. Where x = Zenith[Pandel] and Theta() is the unit step function.
Optimal Cuts
Sigma
Space Angle < 4.6*Theta(120-x) + 3.7*Theta(x-120)
Likelihood Ratio > *Theta(115-x)*(115-x)
Paraboloid Error < *Theta(x-105)*(x-105)
TOT_short + B10 + nB10 < 10 (Flare Checking)
Where x = Zenith[Pandel] and Theta() is the unit step function.
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MuDAQ GRB Search

17. Parameter Distributions
Likelihood Ratio
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MuDAQ GRB Search

18. Parameter Distributions
Paraboloid Sigma
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MuDAQ GRB Search

19. Cut Progression 11/16/2018 8:16:52 AM11/16/2018 8:16:52 AM
MuDAQ GRB Search

20. Cut Progression 11/16/2018 8:16:52 AM11/16/2018 8:16:52 AM
MuDAQ GRB Search

21. Cut Progression 11/16/2018 8:16:52 AM11/16/2018 8:16:52 AM
MuDAQ GRB Search

22. Background Retained per GRB: ~ 10-5
Efficiency
Background Retained per GRB: ~ 10-5
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MuDAQ GRB Search

23. Final Distributions 11/16/2018 8:16:52 AM11/16/2018 8:16:52 AM
MuDAQ GRB Search

24. Final Distributions Total GRB on-time: 5343.825s
Apply final cuts to time scaled background for each individual burst
On Time Scaled (L3)
Final Cut Level
Data
1654.7
0.001
GRB Signal
0.509
0.202
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MuDAQ GRB Search

25. Sensitivity and Discovery Potential
MRF: Flux: 5.4E-8 GeV s-1 sr-1 cm-2
Require 2 on time events for 5s discovery
90% chance to see MDF =
1% chance to see MDF = 1
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MuDAQ GRB Search

26. Systematics Seasonal Variations Azimuthal Dependence Deadtime
Effects “optimal-ness” of cuts
Deadtime
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MuDAQ GRB Search

27. Unblinding Kyler, Ignacio, Teresa have looked at it
I think concerns have been addressed
Presented in Analysis call last week
Need to fix some timing issues raised by Mike
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MuDAQ GRB Search