Progress on the Compton Analysis

1
Progress on the Compton Analysis

• R. S. Holmes, A. Rakhman

2
Compton X-Sect and Asymmetry
3
The DL response function
Other fits 1. 2D polynomial 2. Variable width
Gaussian
Di-Gaussian. Parameters are extrapolated with
polynomials
Extrapolated
4
Observed Compton Spectrum
Integrate response Function folded With theory
5
New Systematic
Appeared when a bug was fixed
Effect is down (at low end) by 2 with new function
6
(No Transcript)
7
Accidental Background on the Tail
Add 10 runs (with same gain)
Linear
Log
Hint of accidentals
8
Accidentals Easy to See on Low Energy Strip
Monte Carlo
Monte Carlo
Data
Pulse shape?
9
Monte Carlo of Accidental
10
Pseudo-Effect of Accidentals
Data
Monte Carlo
11
Sensitivity to Thresholds
This must be understood. We have ideas.
12
New Fit Parameters vs PMT Gain
Gaussian with Variable width
13
Cuts
Parameters versus Polarization of run
14
Polarization vs Run
?2 is getting better. It looks like we
are ultimately statistics limited
15
Jobs

• Make sure that ltADCgtE and that width behaves
  reasonable with E.
• Rewrite code so that it can analyze Monte Carlo
• Model slow PbWO4 response.
• Fix various bugs.

16
(No Transcript)