Changes between Version 35 and Version 36 of Background_Dark_Model

Timestamp:

Apr 5, 2012, 4:32:15 PM (14 years ago)

Author:

watersc1

Comment:

--

Background_Dark_Model

@@ -14 +14 @@
 I reran the g-filter footprint, using all previous improvements with the addition of fixing the gain for every cell of the entire detector to a single value of 1.1.  The same processing and analysis was done, generating a higher number of false positives than the previous (noisemap) reduction:
 
-[[(Image(07_fixedgain.png,400px)]]
+[[Image(07_fixedgain.png,400px)]]
 
 ||Reduction || All N=1 || All N=12 || Good flags N=1 || Good flags N=12 || QF Perfect N=1 || QF Perfect N=12 ||
@@ -21 +21 @@
 However, looking at a plot of the change in false positives for each detector cell as a function of the gain ratio (header quoted gain / chosen fixed gain of 1.1) shows that this increase is largely due to a number of detectors going from a gain less than 1.1 to this fixed gain.  If we preferentially select only those cells that have quoted gains larger than 1.1, we generally see a dramatic improvement in the false detection rate, at only a minor change in the number of 12-detection measurements (red points).
 
-[[(Image(fixedgain_improvement.png,400px)]]
+[[Image(fixedgain_improvement.png,400px)]]
 
 This suggests that making the change to use any quoted gain below a threshold, and clipping all others at that threshold may make an improvement in the false positive rate.