Analysis of startup and shutdown sequences, Campaign 8 Abstract: All SRSRN results are within the limits. The SL SURN exceeded the 8.8 DN limit once and reached it two more times. The LH SURN results exceeded the 17.6 DN limit three times, but not by more than 0.6 DN (i.e. 3% of the limit). The other modules met the SURN limit. As usual, all modules show good stability in SRSRN results (within 1%), but two modules, SH and LL, showed 12% variations in SURN. These results were still within the 20% yellow limit. All modules except LL met the photoresponse stability requirements. In LL, the same two pixels which failed in Campaign 7 failed again. Analysts: Lei Hao & Greg Sloan Procedure version: 2.7 Campaign 8, Startup, Shutdown anneal YEAR 2004 DOY 156 CE1 used for all data collection AORKEY = 9863168 for startup AORKEY = 9862912 for shutdown Number of files = 64 for each No known errors. Steps 2 through 5 run OK. Unruly.pro results for startup (IRS-001): Noise characteristics of the modules (in DN) SUR data SRS data noise pre post noise pre post Module limit anneal anneal limit anneal anneal SL 8.8 8.9 8.8 15.0 12.2 12.3 SH 8.8 7.2 6.9 15.0 12.8 12.8 LL 14.5 12.9 13.6 15.0 13.0 12.9 LH 17.6 18.2 17.7 15.0 13.1 13.1 No middle sequence. Unruly.pro results for shutdown (IRS-003): Noise characteristics of the modules (in DN) SUR data SRS data noise pre post noise pre post Module limit anneal anneal limit anneal anneal SL 8.8 8.5 8.8 15.0 12.2 12.2 SH 8.8 7.7 7.3 15.0 12.8 13.0 LL 14.5 12.0 11.8 15.0 13.0 13.1 LH 17.6 17.4 18.0 15.0 13.1 13.2 The analysis applied the PIRAT procedure unruly.pro to FITS files generated by MIPL. For SUR data, the quoted values are the standard deviation of the read noise map. For SRS data, these are the median of the standard deviation map. Comments: Again all SRSRN data are within limits. The SURN for SL slightly exceed the 8.8 DN limit in the startup pre-anneal data, and in two of the remaining three cases, the data match the limit. LH fails the limit three out of four times, with the peak noise 0.6 DN over the 17.6 DN limit. That's a 3.4% excess. SH and LL have well behaved SURN results. Changes in read noise between anneals and from startup to shutdown: SUR data SRS data pre-ann. post-ann. IRS-003/ pre-ann. post-ann. IRS-003/ Module IRS-003 IRS-001 IRS-001 IRS-003 IRS-001 IRS-001 SL 8.54 8.85 0.96 12.21 12.26 1.00 SH 7.74 6.92 1.12 12.79 12.80 1.00 LL 12.00 13.62 0.88 13.04 12.94 1.01 LH 17.44 17.74 0.98 13.09 13.12 1.00 Comments: The SRSRN results still behaving well, with variations within 1%. The SURN results for SH and LL are worse; both are 12%. Photoresponse stability: all pixels masking dead mask dead/warm module yellow red yellow red yellow red SL 6 6 0 0 0 0 SH 2 2 0 0 0 0 LL 11 6 6 3 2 1 LH 10 6 2 0 0 0 After flagging dead and warm pixels, only one pixel exceeds the red limit: pixel 76,64 in LL. Only one pixel exceeds the yellow limit: pixel 23,119 in LL. Both of these pixels were flagged in Campaign 7. A channel-by-channel analysis of the SURN in SL. The report for Campaign 6 explains the nature of this test. Here we include the three tests which met or exceeded the 8.8 DN limit. activity measurement total SURN ch. 0 ch. 1 ch. 2 ch. 3 IRS-001 pre-anneal 8.94 9.02 8.96 8.96 8.73 IRS-001 post-anneal 8.85 9.13 8.64 9.25 8.33 IRS-003 post-anneal 8.80 8.90 8.98 8.44 8.77 There is no evidence that jailbarring is affecting the SURN results. When comparing results for Campaigns 6 through 8, there is no strong tendency for one channel to fail more than others. In Campaign 6, it looked as though channel 0 might be worse, but this initial result has not been borne out as the sample size grows.