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MOPEX Online Manual |
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Modules: Detect Radhit
Namelist Trigger: run_detect_radhit
Output Directory Keyword: DMASK_DIR Default Output Directory: <output_dir>/Dmask/ Depends on: Input files Important Notes: This module is not normally required for Spitzer data, as it has already been run by the SSC when creating the BCD frames that users download from the Spitzer archive. If overwrite_Dmasks = 1 is set in the Mosaic namelist, MOPEX will overwrite the input mask files rather than creating new masks. PURPOSE
PARAMETER BLOCK
Segmentation_Threshold = 3, Detection_Max_Area = 3, Radhit_Threshold = 10, &END INPUTSSegmentation_Threshold: (float) The number of sigma above the mean to be used as the initial threshold used for cluster detection. Detection_Max_Area: (int) The maximum number of pixels in a connected area (cluster) which could be classified as radhits. Radhit_Threshold: (float) In order to classify a cluster of pixels as a radhit, at least one of the pixels should be greater than this threshold in sigma. This parameter should be set much higher than the segmentation threshold value. OUTPUTS
DISCUSSIONThe first and most basic method of outlier rejection is the single frame outlier detection that represents spatial filtering of input images. It is performed on the input images. In the automated MIPS and IRAC pipelines, this step is included in the standard BCD processing. It is designed to detect relatively bright and spatially small radhits. The algorithm is a variant of image segmentation, and is based on the idea that when a relatively low detection threshold is applied, for each bright point source a large number of pixels will be detected above the threshold. Bright detections with small areas are, therefore, classified as radhits. The output of this module depends on the trigger overwrite_Dmasks, set in the Global Parameters section of the Mosaic namelist. The default value is 0, which will instruct MOPEX to create new mask files. If set to 1, MOPEX will overwrite the input mask files rather than creating new ones. The input masks are specified in the Input Files part of the namelist, with the keyword DCE_STATUS_MASK_LIST, and are not necessarily actually called *dmask.fits (in fact, we recommend using the IMasks with IRAC data).
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