Appendix H
Configuration-parameter descriptions

This appendix describes some of the makemap configuration parameters that are more likely to be of interest to a typical user. Thus parameters relating to experimental or deprecated features, or features that should not normally need to be changed, are not included here. For a complete list of all available configturation parameters, see SUN/258.

 
Alphabetical listing:
See Appendix I for classified listings.

AST.MAPSPIKE – Removes spikes from the map
AST.SKIP – Skip subtraction of astronomical signal
AST.ZERO_CIRCLE – Reduces spurious large scale structure in the final map outside a circle of given radius
AST.ZERO_FREEZE – Prevent the AST mask from changing after a given number of iterations. This can help convergence
AST.ZERO_LOWHITS – Reduces spurious large scale structure in the final map in regions containing few data samples
AST.ZERO_MASK – Reduces spurious large scale structure in the final map within fixed regions specified by an external mask
AST.ZERO_NITER – Allows AST masking to be switched off after a given number of iterations
AST.ZERO_NOTLAST – Allows flux to be present in masked areas in the final map
AST.ZERO_SNR – Reduces spurious large scale structure in the final map within regions of low signal-to-noise
AST.ZERO_SNR_FFCLEAN – Provides alternative method for SNR masking
AST.ZERO_SNR_FWHM – Can help to remove bowls around sources
AST.ZERO_SNR_LOW – Can help to remove bowls around sources
AST.ZERO_SNRLO – Can help to remove bowls around sources by increasing the size of the SNR mask without introducing noise
AST.ZERO_UNION – Controls how multiple AST masks are combined
BADFRAC – Ensures that bad data from DA system are ignored
BOLOMAP – Create NDFs holding the map made form each bolometer
COM.CORR_ABSTOL – Controls the rejection of bad samples from the COM estimate
COM.CORR_TOL – Controls the rejection of bad samples from the COM estimate
COM.FREEZE_FLAGS – Controls flagging of samples that differ from the common-mode
COM.GAIN_ABSTOL – Controls the rejection of bad samples from the COM estimate
COM.GAIN_BOX – Controls the rejection of bad samples from the COM estimate
COM.GAIN_FGOOD – Controls the rejection of bad samples from the COM estimate
COM.GAIN_RAT – Controls the rejection of bad samples from the COM estimate
COM.GAIN_TOL – Controls the rejection of bad samples from the COM estimate
COM.NOFLAG – Controls the rejection of bad samples from the COM estimate
COM.PERARRAY – Controls the estimate of the common-mode signal
COM.SIG_LIMIT – Controls the rejection of time slices with inconsistent common-modes
COM.ZERO_CIRCLE – Improves common-mode estimation by excluding sources within a circle of given radius from the COM estimate
COM.ZERO_FREEZE – Prevent the COM mask from changing after a given number of iterations. This can help convergence
COM.ZERO_LOWHITS – Improves common-mode estimation by excluding sources in regions containing many data samples
COM.ZERO_MASK – 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
COM.ZERO_SNR – Improve the estimate of the common-mode by excluding samples that correspond to high SNR pixels in the map
COM.ZERO_SNR_FFCLEAN – Provides alternative method for SNR masking
COM.ZERO_SNRLO – Improve estimate of the common-mode by increasing the size of the SNR mask without introducing noise
COM.ZERO_UNION – Controls how multiple COM masks are combined
COMPREPROCESS – Remove common-mode before the iterative algorithm begins
DCFITBOX – Control the cleaning of DC steps in bolometer time streams
DCLIMCORR – Control the cleaning of DC steps in bolometer time streams
DCMAXSTEPS – Control the cleaning of DC steps in bolometer time streams
DCSMOOTH – Control the cleaning of DC steps in bolometer time streams
DCTHRESH – Control the cleaning of DC steps in bolometer time streams
DIAG.OUT – Switches on the dumping of various diagnostic information
DOCLEAN – Allows pre-cleaned data to be used
DOWNSAMPSCALE – Speeds up map-making, and reduces memory requirements
EXPORTCLEAN – Allows the initial cleaned data to examined or saved for later use
EXPORTNDF – Create NDFs holding final model values
EXT.CSOTAU – Controls the extinction values used in the EXT model
EXT.FILTERTAU – Controls the extinction values used in the EXT model
EXT.TAUMETHOD – Controls the extinction values used in the EXT model
EXT.TAURELATION.450 – Controls the 450 um extinction values used in the EXT model and the EXTINCTION task
EXT.TAURELATION.850 – Controls the 850 um extinction values used in the EXT model and the EXTINCTION task
EXT.TAUSRC – Controls the extinction values used in the EXT model
FAKEMAP – Diagnostic tool to explore the effects of the map-making process on known sources
FAKESCALE – Control the use of the supplied fake map
FILT_EDGE_LARGESCALE – Specifies the largest scale size to be retained by the initial data cleaning
FILT_EDGE_SMALLSCALE – Specifies the smallest largest scale size to be retained by the initial data cleaning
FILT_EDGELOW – Specifies the highest frequency to be retained by the initial data cleaning
FILT_ORDER – Indicates the shape of the filter
FLAGFAST – Flag data when we re moving too fast
FLAGSLOW – Flag data when we re moving too slowly
FLT.FILT_EDGE_LARGESCALE – Specifies the largest scale size to be retained by the FLT model
FLT.FILT_EDGE_LARGESCALE_LAST – Specifies the largest scale size to be retained by the FLT model on the last iteration
FLT.FILT_ORDER – Indicates the shape of the filter
FLT.NOTFIRST – May improve convergence by avoiding the filtering of strong sources on the first iteration
FLT.RING_BOX1 – Controls the flagging of samples that suffer from ringing
FLT.ZERO_CIRCLE – Speeds up convergences and reduces ringing by excluding sources within a circle of given radius from the FLT estimate
FLT.ZERO_FREEZE – Prevent the FLT mask from changing after a given number of iterations. This can help convergence
FLT.ZERO_LOWHITS – Experimental
FLT.ZERO_MASK – 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
FLT.ZERO_NITER – Allows FLT masking to be switched off after a given number of iterations
FLT.ZERO_SNR – Speeds up convergences and reduces ringing by excluding samples that correspond to high SNR pixels in the map
FLT.ZERO_SNR_FFCLEAN – Provides alternative method for SNR masking
FLT.ZERO_SNRLO – Speeds up convergences and reduces ringing by increasing the size of the SNR mask without introducing noise
FLT.ZERO_UNION – Controls how multiple FLT masks are combined
HITSLIMIT – Rejects map pixels that receive very few samples
ITERMAP – Create NDFs holding the map created by each iteration
MAPTOL – Specifies when to stop iterating
MAXLEN – Determines how the input time-series data is split into chunks
MODELORDER – Specifies which models to include in the iterative process, and the order in which they are evaluated
NOI.BOX_SIZE – Allow finer estimation of the noise levels in the time-series data
NOI.BOX_TYPE – Determines how the noise in each box is found
NOI.CALCFIRST – Determines when the noise in each bolometer is estimated
NOISECLIPHIGH – Reject bolometers based on their noise
NOISECLIPLOW – Reject bolometers based on their noise
NOISECLIPPRECOM – Reject bolometers based on their noise
NUMITER – Specifies when to stop iterating
ORDER – Baseline removal
SHORTMAP – Create NDFs holding the map made form a short chunk of data
SPIKEBOX – Controls time-based spike detection within initial data cleaning
SPIKETHRESH – Controls time-based spike detection within initial data cleaning
WHITEN – Experimental