This appendix orders the configuration parameters described in Appendix I into functional categories.
Parameter | Purpose | Values |
Specifies when to stop iterating. | default : -5 |
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Specifies when to stop iterating. | default : 0.05 |
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Specifies which models to include in the iterative process, and the order in which they are evaluated. | default : (com,gai,ext,flt,ast,noi) |
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Rejects map pixels that receive very few samples. | default : 0.01 |
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Parameter | Purpose | Values |
Diagnostic tool to explore the effects of the map-making process on known sources. | default : <undef> |
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Control the use of the supplied fake map. | default : 1 |
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Create NDFs holding final model values. | default : 0 |
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Create NDFs holding the map created by each iteration. | default : 0 |
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Create NDFs holding the map made form each bolometer. | default : 0 |
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Create NDFs holding the map made form a short chunk of data. | default : 0 |
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Switches on the dumping of various diagnostic information. | default : <undef> |
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Parameter | Purpose | Values |
Speeds up map-making, and reduces memory requirements. | default : -1 |
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Determines how the input time-series data is split into chunks | default : 0 |
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Allows pre-cleaned data to be used. | default : 1 |
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Allows the initial cleaned data to examined or saved for later use. | default : 0 |
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Baseline removal | default : 1 | |
Ensures that bad data from DA system are ignored | default : 0.05 |
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Remove common-mode before the iterative algorithm begins. | default : 0 |
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Control the cleaning of DC steps in bolometer time streams | default : 25.0 |
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Control the cleaning of DC steps in bolometer time streams | default : 30 |
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Control the cleaning of DC steps in bolometer time streams | default : 4 |
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Control the cleaning of DC steps in bolometer time streams | default : 0 |
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Control the cleaning of DC steps in bolometer time streams | default : 50 |
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Controls time-based spike detection within initial data cleaning. | default : 0 |
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Controls time-based spike detection within initial data cleaning. | default : 50 |
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Experimental. | default : 0 |
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Reject bolometers based on their noise. | default : 4 |
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Reject bolometers based on their noise. | default : 0 |
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Reject bolometers based on their noise. | default : 0 |
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Flag data when we’re moving too slowly | default : 30 |
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Flag data when we’re moving too fast | default : 1000 |
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Specifies the highest frequency to be retained by the initial data cleaning. | default : 0 |
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Specifies the largest scale size to be retained by the initial data cleaning. | default : 0 |
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Specifies the smallest largest scale size to be retained by the initial data cleaning. | default : 0 |
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Indicates the shape of the filter. | default : 0 |
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Parameter | Purpose | Values |
Controls the estimate of the common-mode signal | default : 0 |
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Controls the rejection of time slices with inconsistent common-modes. | default : 0 |
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Controls the rejection of bad samples from the COM estimate | default : 0 |
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Controls the rejection of bad samples from the COM estimate | default : 5 |
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Controls the rejection of bad samples from the COM estimate | default : 0.2 |
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Controls flagging of samples that differ from the common-mode. | default : 0 |
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Controls the rejection of bad samples from the COM estimate | default : 5 |
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Controls the rejection of bad samples from the COM estimate | default : 3 |
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Controls the rejection of bad samples from the COM estimate | default : -30.0 |
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Controls the rejection of bad samples from the COM estimate | default : 0.25 |
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Controls the rejection of bad samples from the COM estimate | default : 4 |
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Provides a better estimate of the common-mode ("COM") signal, by excluding samples that fall within fixed regions on the sky specified by an external mask. | default : 0 |
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Improves common-mode estimation by excluding sources within a circle of given radius from the COM estimate. | default : <undef> |
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Improves common-mode estimation by excluding sources in regions containing many data samples. | default : 0 |
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Improve the estimate of the common-mode by excluding samples that correspond to high SNR pixels in the map. | default : 0 |
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Provides alternative method for SNR masking. | default : 0 |
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Improve estimate of the common-mode by increasing the size of the SNR mask without introducing noise. | default : <undef> |
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Controls how multiple COM masks are combined. | default : 1 |
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Prevent the COM mask from changing after a given number of iterations. This can help convergence. | default : 0.0 |
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Parameter | Purpose | Values |
Determines when the noise in each bolometer is estimated. | default : 0 |
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Allow finer estimation of the noise levels in the time-series data. | default : -15 |
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Determines how the noise in each box is found. | default : 1 |
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Parameter | Purpose | Values |
Specifies the largest scale size to be retained by the FLT model. | default : |
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Specifies the largest scale size to be retained by the FLT model on the last iteration. | default : <undef> |
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Indicates the shape of the filter. | default : 0 |
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Controls the flagging of samples that suffer from ringing. | default : 0 |
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Speeds up convergences and reduces ringing by excluding sources within a region specified by an external mask file from the filtering performed by the FLT model. | default : 0 |
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Speeds up convergences and reduces ringing by excluding sources within a circle of given radius from the FLT estimate. | default : <undef> |
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Experimental. | default : 0 |
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Speeds up convergences and reduces ringing by excluding samples that correspond to high SNR pixels in the map. | default : 0 |
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Provides alternative method for SNR masking. | default : 0 |
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Speeds up convergences and reduces ringing by increasing the size of the SNR mask without introducing noise. | default : <undef> |
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Allows FLT masking to be switched off after a given number of iterations. | default : 2 |
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Controls how multiple FLT masks are combined. | default : 1 |
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Prevent the FLT mask from changing after a given number of iterations. This can help convergence. | default : 0.0 |
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May improve convergence by avoiding the filtering of strong sources on the first iteration. | default : 0 |
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Parameter | Purpose | Values |
Controls the extinction values used in the EXT model. | default : auto |
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Controls the extinction values used in the EXT model. | default : adaptive |
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Controls the 450 um extinction values used in the EXT model and the EXTINCTION task. | default : (23.3,-0.018,0.05) |
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Controls the 850 um extinction values used in the EXT model and the EXTINCTION task. | default : (3.71,-0.040,0.202) |
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Controls the extinction values used in the EXT model. | default : <undef> |
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Controls the extinction values used in the EXT model. | default : <undef> |
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Parameter | Purpose | Values |
Removes spikes from the map. | default : 10 |
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Skip subtraction of astronomical signal. | default : 0 |
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Reduces spurious large scale structure in the final map within fixed regions specified by an external mask. | default : 0 |
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Reduces spurious large scale structure in the final map outside a circle of given radius. | default : <undef> |
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Reduces spurious large scale structure in the final map in regions containing few data samples. | default : 0 |
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Reduces spurious large scale structure in the final map within regions of low signal-to-noise. | default : 0.0 |
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Provides alternative method for SNR masking. | default : 0 |
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Can help to remove bowls around sources by increasing the size of the SNR mask without introducing noise. | default : <undef> |
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Can help to remove bowls around sources. | default : 0 |
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Can help to remove bowls around sources. | default : -1.1 |
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Controls how multiple AST masks are combined. | default : 1 |
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Prevent the AST mask from changing after a given number of iterations. This can help convergence. | default : 0.0 |
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Allows AST masking to be switched off after a given number of iterations. | default : 0 |
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Allows flux to be present in masked areas in the final map. | default : 1 |
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