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experiments on pileup
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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
energy and for a source incident flux of
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
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
0.04 counts s-1 cm-2 (test H-IAS-CR-1.006), the pileup
is reduced from
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.



Next:Observed
versus predicted pileup
Up:XRCF
experiments on pileup
Previous:Methodology
and pileup definition
Please address comments and questions to Dr. John Nousek ( nousek@astro.psu.edu
)