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EDAX EDS Manual

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THE OPTIMIZATION OF X-RAY COUNT THROUGHPUT<br />

The x-ray count rate is certainly one our most fundamental parameters for determining<br />

optimal spectrum conditions. It is counter-intuitive for most users that increasing the<br />

count rate does not automatically result in a better spectrum or at a minimum in<br />

collecting more counts. The <strong>EDAX</strong> detector amplifier has two time constants (20 µs and<br />

40 µs) which control the amount of time taken to process an x-ray event. While the x<br />

ray is being processed, the detector is “dead” and will not process any additional events.<br />

For each time constant there is a maximum throughput. When it is desirable to have<br />

more counts in a spectrum or in a map, it is always possible to collect the signal for a<br />

longer interval of time, but it is also possible to use a shorter time constant. When the<br />

shorter time constant is employed, the spectrum resolution degrades but for many<br />

applications this is not a serious drawback.<br />

The figure below provides an example of how many counts can be processed in a fixed<br />

interval of time (20 clock seconds). With the longer time constant (“40 tc” or 40 µs),<br />

there are actually fewer counts processed when the count rate was increased from 2000<br />

to 10,000 cps. The same 10,000 cps count rate yielded 6 to 7 times more processed<br />

counts when the shorter time constant (“20 tc” or 20 µs). With the shorter time constant,<br />

doubling the count rate only increased the processed counts by about ¼.<br />

The resolution of the detector degrades noticeably when using the longer time constant<br />

(see figure on the next page), but resolution is not normally a fundamental concern<br />

when we do certain procedures such as collecting x-ray maps, or when the spectra<br />

collected do not have significant overlaps and we are not concerned with low-energy<br />

peaks or their analysis.<br />

<strong>EDAX</strong> Training Course - X-Ray Count Optimization - page 1

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