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Pileup trends with source flux and grade selection

Table 6.22 lists the results of our pileup analysis of Phase H data. Column 2 reports the fraction of total events detected for grade selection All-255, defined as the ratio of the total counts detected in the observed spectrum to the expected incident counts from Table 6.21. The following three columns list the counts detected in the primary peak (col. 3), the sum of all the counts detected in the piled peaks (col. 4), and the pileup fraction (col. 5), according to eq. 6.14. In the following, we will refer to the pileup fraction estimated from the XRCF data as the ``measured'' pileup fraction. The same information is contained in the following columns of Table 6.22 for grade selections G02346, G023, and G0.
 
Table 6.22: Pileup Analysis for Phase H Data 
Test Name Detected Events for All - 255   Detected Events for G02346   Detected Events for G023   Detected Events for G0
Frac. of
Events
Peak1 Piled
Peaks
Pileup
Frac.
  Frac. of
Events
Peak1 Piled
Peaks
Pileup
Frac.
  Frac. of
Events
Peak1 Piled
Peaks
Pileup
Frac.
  Frac. of
Events
Peak1 Piled
Peaks
Pileup
Frac.
a) Front-illuminated CCD
                                       
H-IAI-CR-1.001 0.93 18446 1054 0.054   0.90 18004 774 0.041   0.95 17581 575 0.033   0.95 14242 140 0.010
H-IAI-CR-1.003 0.77 17160 3639 0.175   0.68 15826 2500 0.136   0.64 14932 1809 0.108   0.66 12499 434 0.034
H-IAI-CR-1.005 0.51 8218 5563 0.403   0.37 6958 2972 0.300   0.35 6514 1763 0.213   0.30 5404 336 0.059
H-IAI-CR-1.007 0.35 6459 6844 0.514   0.21 5328 2546 0.32   0.18 5021 1235 0.197   0.16 4183 168 0.038
                                       
H-IAI-CR-1.009 0.77 21792 1520 0.065   0.74 21061 1321 0.059   0.78 20860 1079 0.052   0.87 19630 295 0.015
H-IAI-CR-1.011 0.66 15191 3079 0.169   0.59 13842 2438 0.150   0.61 13707 1841 0.118   0.60 12835 531 0.041
                                       
b) Back-illuminated CCD
                                       
H-IAS-CR-1.002 0.89 17461 1161 0.062   0.86 16911 530 0.030   0.85 10936 158 0.014   0.61 4508 11 0.002
H-IAS-CR-1.004 0.76 14355 3553 0.198   0.65 13226 1573 0.106   0.62 8651 473 0.05   0.41 3446 42 0.012
H-IAS-CR-1.006 0.47 7924 6554 0.453   0.28 6554 1935 0.228   0.24 4007 414 0.094   0.14 1484 29 0.020
H-IAS-CR-1.008 0.32 4779 6048 0.559   0.15 3755 1009 0.212   0.11 2201 135 0.058   0.06 776 9 0.012
                                       
H-IAS-CR-1.012 0.77 15573 920 0.056   0.75 15147 512 0.033   0.85 12397 264 0.021   0.85 6552 31 0.005
                                       
From Table 6.22 a number of features are apparent. For increasing source flux, the pileup fraction increases, although in a non-linear fashion, as expected due to the Poisson nature of the pileup phenomenon. This is illustrated in Figures 6.35 and 6.36, where the pileup is plotted versus the incident counts/frame as a function of grade selections for FI and BI chips, respectively.
 
 


Figure 6.35:  Plot of the measured pileup fraction
from phase H data for chip I3 of ACIS-I, versus source flux incident
on the HRMA entrance (Table 2a). Different grade selections are
shown. The dotted curves simply connect the datapoints and are plotted
to guide the eye. For increasing source flux the pileup fraction
increases, with a non-linear trend. For a fixed source flux, the
pileup decreases when events related to the higher grades are
discarded. This also corresponds to throwing away an increasingly
larger fraction of total detected events (Table 6.20a).


 
 

Figure 6.36:  Plot of the measured pileup fraction from phase H data for chip S3 of ACIS-S, versus source flux incident on the HRMA entrance (Table 2b), as a function of grade selection.  The dotted curves simply connect the datapoints and are plotted to guide the eye.  As for FI chip (see Figure 6.23), there is a non-linear trend of increasing pileup for increasing source flux. Discarding the events corresponding to the higher grades lead to a significant reduction of the pileup at the expense of a drastic loss of total events (cfr. Table 2b).


 


For a fixed source flux, the pileup fraction decreases when the higher grades are discarded, as illustrated in Figures 6.35 and 6.36. The decrease in pileup is more dramatic for BI chips than for FI at comparable source fluxes, as expected because of the way the BI chips work. Note also in Figure 6.36 the ``cutoff'' of the pileup at higher fluxes for the BI chip, which is particularly evident for grades G023 and G0. This is possibly related to grade migration at higher fluxes.

The decrease in pileup is accompanied by a loss of total detected events, i.e., going from G02346 to G0 more and more photons are thrown away. For example, at the Al-K$\alpha $ energy and for a source incident flux of $\sim$ 0.05 counts s-1 cm-2 (test H-IAI-CR-1.005), from Tables 6.21 and 6.22a we can see that for the FI chip the pileup is reduced from $\sim$ 40% to 6% going from no grade selection to G0, with a loss of 58% of detected photons. At a slightly lower source flux for the BI chip of $\sim$ 0.04 counts s-1 cm-2 (test H-IAS-CR-1.006), the pileup is reduced from$\sim$ 45% to 2%, losing a larger fraction of events, 89%. We thus conclude that, at least for the FI chip, grade selection can be used for bright sources to reduce efficiently the pileup and still retain enough photons to do some simple spectral analysis.


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Please address comments and questions to Dr. John Nousek ( nousek@astro.psu.edu )