MOPEX User's Guide - IRSA

MOPEX User’s Guide
Input Type: Determines the type of image to be used as the input for detect. The first choice
is between an "snr" image (SNR Input) or an image based on the original data (Image Input).
Which image within these 2 types depends on the Use PSP to Detect setting in the initial
Apex settings. See the Table below.
If Input Type is chosen to be “snr_input”, then the Gaussnoise module is run on the input to
Detect (e.g. the PSP image) to create the new SNR image. In that case, the Window and
Outlier parameters of Gaussnoise can be set.
Window X: (int) The X size in pixels of the window used to compute the median of the
background. The default value is 45.
Window Y: (int) The Y size in pixels of the window used to compute the median of the
background. The default value is 45.
N Outliers Per Window: (int) The number of outlier pixels (N) being rejected from the X*Y
window when computing the noise.
Output Type: Centroids only output is the normal choice. Centroids and pixels output
allows a complete table (see below).
Minimum Coverage: (float) The minimum value in the coverage map needed for a pixel to
be considered for segmentation.
Ne ighbor Type : Defines what an adjacent pixel means. “Sides only” is the normal choice.
Peaks Radius: (int) Radius in pixels that a pixel must be the maximum in order to be
defined as a peak. 1 is the normal choice.
Max Segmentation Level: (int) Maximum number of segmentation passes. 50 is the normal
choice.
N Edge: (int) 0 is the normal choice.
Probability Threshold: (float) 0.0 is the normal choice.
Additional output files: See “Output”.
Point Source Extraction (APEX) 135
APEX Modules