Co-57 Count Rates:
Measured vs. Predicted

Derek Hullinger
23 July 2004

Bottom Line First:

The measurement is about 48% higher than the prediction, which is a much larger a discrepancy than that seen with the other 3 sources.

Data sets examined:

    1. arr_x_co57_200_22_030618_6a.fits
    2. arr_x_co57_200_20_030619_2a.fits
    3. arr_x_co57_200_20_030619_3a.fits
    4. arr_x_co57_200_20_030619_8a.fits
    5. arr_x_co57_200_20_030619_9a.fits

    (from /local/data/gcn3c/array_cal_030618/coarse_grid/)

    1. arr_x_co57_200_21_0_0_030404_1.fits
    2. arr_x_co57_200_21_0_south45_030405_14.fits
    3. arr_x_co57_200_21_n25_0_030405_6.fits
    4. arr_x_co57_200_21_n25_0_030405_9.fits

    (from /local/data/gcn3a/array_cal/far_field/)

I) Measured Count Rates (from ground software (gsw) tools):

For each of the above data sets:

    1. ran batgse2dpi with histmode="window" and only including counts above 20 keV
    2. example command:

      batgse2dpi arr_x_co57_200_20_030619_2a.list arr_x_co57_200_20_030619_2a.dpi_window histmode="window" windows="/home/lhea/derek/windows/20kev.window"

    3. ran bathotpix to generate a "good map" file for the windowed dpi
    4. example command:

      bathotpix arr_x_co57_200_20_030619_2a.dpi_window arr_x_co57_200_20_030619_2a.mask2_window detmask="arr_x_co57_200_20_030619_2a.mask_thresh" chatter=3

      arr_x_co57_200_20_030619_2a.mask_thresh is a detector map that excludes all detectors with fewer than 30 counts

    5. ran batclean to remove background from the windowed dpi
    6. example command:

      batclean arr_x_co57_200_20_030619_2a.dpi_window arr_x_co57_200_20_030619_2a.dpi_window_clean arr_x_co57_200_20_030619_2a.src detmask="arr_x_co57_200_20_030619_2a.mask2_window" srcclean=YES outversion="bkgcleaned"

      By default, counts in the dpi are dead-time corrected (that is, they are multiplied by exposure/live-time).

Measured Count Rate (For Each Detector):

C: dead-time corrected counts from windowed dpi (counts*exposure/live_time)

t:   exposure time for the data set

(See the IDL routine used to generate the measured count rate for each detector)

II) Measured Count Rate (From sum_spectra):

For comparison, I also added up the counts/s produced by sum_spectra. sum_spectra gives the counts/s one would expect in a single fully-illuminated detector at the center of the array. As in the (II) above, I added up the counts/s in all channels corresponding to 20 keV and above.

III) Predicted Count Rates:

Predicted Count Rate (For Each Detector):

S:        The number of photons/s of a given energy emitted by the source into 4π

Source used: Co-57-121

According to Nadine’s calibration report (calibhigh.xls):

S122 = 1.41 x 108 photons/s (on 8/18/03)
on 6/19/03, this rate would have been higher by a factor of (1/2)^(-60/272), or 1.65 x 108 photons/s

S136 = 1.79 x 107 photons/s (on 8/18/03)
on 6/19/03, this rate would have been higher by a factor of (1/2)^(-60/272), or 2.08 x 107 photons/s

     r:           distance from the source to the detector

    Photons/s/cm2 incident on a fully-illuminated detector at a distance r from the source.

fatten,E:      the attenutation of photons of energy E through all passive materials between the source and the detectors, including air (which turns out to be a significant attenuator). This attenuation was calculated for the on-axis case, then it was adjusted for each detector to include the cosine effect.

Aeff,E:            Effective area of the detector

0.16 cm2 * QE * (Cosine Correction Factor)

QE = the quantum efficiency of a detector at a particular photon energy and at a particular angle

At 122 keV: QE = 1-exp(-4.655*0.2/cos(atan(sqrt(x*x+y*y)/z))) ≅ 0.61 (for the on-axis case)
At 136 keV: QE = 1-exp(-3.374*0.2/cos(atan(sqrt(x*x+y*y)/z))) ≅ 0.49 (for the on-axis case)

The Cosine Correction Factor is:
cos(atan(sqrt(x*x+y*y)/z))+
min(0.15,0.05*abs(z/x))*cos(atan(sqrt(y*y+z*z)/x))+
min(0.15,0.05*abs(z/y))*cos(atan(sqrt(x*x+z*z)/y))

The edge model included in this factor only applies to non-leading-edge detectors. For that reason, only center detectors are used in the comparison.

x, y, and z are the x-,y-, and z-distances from the source to the detector

fillum:          fraction of photons that are transmitted through the mask

for fully illuminated detectors, this is 1
for fully masked detectors, this is the tranmission of the photons through the lead tile
for a partially-illuminated detector, it is a number between the two

the cleaning process removes un-modulated counts, so the prediction must do that, too. This is done by subtracting from each illumination fraction the transmission of photons through a lead tile onto the center of the array.

(See the IDL routine used to generate the predicted count rate for each detector)

IV) Results:

These are histograms of the measured count rates (using the gsw tools) and predicted count rates from all of the "good" detectors in each run. Only center detectors are included in the histograms.

black: histogram of measured rates derived from gsw tools
red: histogram of predicted rates

The predicted rates are all systematically lower than the measured rates. After the plots, there is a table that compares these rates along with the rates derived from the sum_spectra tool.

arr_x_co57_200_22_030618_6a:

back-of-envelope calculation:

The source is at x=-12.7, y=3.72, z=294.2 (all in cm). For a fully-illuminated detector directly directly below the source, r=294.2 cm, QE122=0.61, QE136=0.49, fatten,122=0.904, fatten,136=0.906, fillum,122=0.978, fillum,136=0.945, and the cosine correction factor is 1.
This would give a count rate of (1.65 x 108)*/(4*π*294.2*294.2)*(0.16)*(0.61)*(0.904)*(0.978) = 13.1 counts/s from the 122 keV line and
(2.08 x 107)*/(4*π*294.2*294.2)*(0.16)*(0.49)*(0.906)*(0.945) = 1.3 counts/s from the 136 keV line, making a total of 14.4 counts/s.

arr_x_co57_200_22_030619_2a:

arr_x_co57_200_22_030619_3a:

arr_x_co57_200_22_030619_8a:

arr_x_co57_200_22_030619_9a:

arr_x_co57_200_21_0_0_030404_1:

arr_x_co57_200_21_0_south45_030405_14:

arr_x_co57_200_21_n25_0_030405_6:

arr_x_co57_200_21_n25_0_030405_9:

The "Max Measured Rate" and the "Max Predicted Rate" columns in this table show the count rates that correspond to the "peak" rates in the histograms. This isn't a perfect way to quantify the maximum rate, but it's not bad.

V) Conclusions:

The predicted rates are much farther from the measured rates than in the case of the other sources (Cd-109, Ba-133, and Am-241). Every explanation I can think of to explain this would only serve to explain why the prediction might be too high, not too low.

Things I double-checked:



Changes from 16 Jun 2003:

Changes from 11 Dec 2003:


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