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Three tests are used to detect source variability within a single observation: the Kolmogorov-Smirnov test and its variant, the Kuiper test, and a Bayesian approach originally suggested by Gregory and Loredo.
We define (text {Pr}{|mathcal {D}|=0}) as the probability that no relay is able to correctly detect the signals transmitted by source terminals, and (text {Pr}{|mathcal {D}|=k}) as the probability that k relays detect source signals correctly.
If the measure is in development, an alternative to deleting the DIF items, may be to substitute similar but DIF-free items either by re-writing, choosing a item with similar item properties or the source of the DIF could be probed by cognitive interviewing or by reviewing the item by groups of experts to detect source of DIF.
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Source detection energy bands are used only in the Detect Pipeline of catalog processing to detect sources, and are chosen to maximize the efficiency of the source detection process for different kinds of sources observed using the back- and front-side illuminated ACIS CCDs.
It can detect sources of carbon dioxide.
Chandra Source Catalog (CSC) master source pipeline processing seeks to automatically detect sources and compute their properties.
In §13.2 we describe the basic recipe one would follow to detect sources in data, without reference to any particular wavelet function.
It has eight-times greater resolution and will be able to detect sources more than 20-times fainter than any previous X-ray telescope.
We describe a method that we have developed and implemented in the software that enables engineers to detect sources of ill conditioning in their models and rectify them.
The software was designed to detect sources in the LOFAR telescope images, but can be used with images from other radio telescopes as well.
Although the pilot project ended in April, Pitkofsky said a patient survey the team developed to detect sources of noise still is being distributed biweekly in a number of nursing units.
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