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XMM-Newton Science Analysis System Page: 1
impoissonize
July 2, 2008
Abstract
This task creates an image whose values are random integers, each obeying a
Poissonian probability distribution about a mean given by the respective pixel value
of the input image.
1 Instruments/Modes
The task is not XMM-specic.
2 Description
For each pixel of the input image, the task generates a random integer. The probability of obtaining a
particular output value follows a Poisson distribution with an average value equal to the value at that
pixel of the input image.
xmmsas 20080701 1801-8.0.0

XMM-Newton Science Analysis System Page: 2
3 Parameters
This section documents the parameters recognized by this task (if any).
Parameter Mand Type Default Constraints
inset yes dataset dummy default
The input image.
outset no dataset image.ds
The output image of random Poissonian values.
tempset no dataset tempimage.ds
Name of a temporary cloned image dataset used while writing the output.
4 Input Files
1. A FITS dataset containing a 2-dimensional image array in the primary extension. The
datatype of the image may be 8-bit integer, 16-bit integer, 32-bit integer, 32-bit real or
64-bit real.
5 Output Files
1. A FITS dataset containing a 2-dimensional image array in the primary extension, the same
size as the input array and containing all of the keywords (except those pertaining to DSS)
of the input. The datatype of this image is 32-bit integer.
6 Algorithm
References
xmmsas 20080701 1801-8.0.0