E Configuration Parameters

These pages describe the values that can be included in the configuration supplied via the CONFIG parameter when running a Smurfcommand.

Smurf Configuration Parameters

ANG0 – Specifies the start of each fitting box
ANGROT – Specifies the orientation of the fixed analyser
APOD – Control the removal of low frequencies from the time-stream data
AST.FILT_DIFF – Reduces spurious large scale structure in the final map - an experimental alternative or addition to AST masking
AST.MAPSPIKE – Removes spikes from the map
AST.MAPSPIKE_FREEZE – Indicates when to stop flagging extra spikes in the map
AST.SKIP – Skip subtraction of astronomical signal
AST.ZERO_ACCUM – Prevents unstable SNR masks halting convergence
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_MASK0 – 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_HIPASS – Flatten map before making SNR mask
AST.ZERO_SNR_LOPASS – Smooths map before making SNR mask
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
CHITOL – Specifies when to stop iterating
CHUNKFACTOR – Specifies the relative calibration of each continuous chunk
CHUNKWEIGHT – Specifies a relative weight for each continuous chunk
CLEANDK. <XXX > – Controls the cleaning of the dark squid signals
COM.BOXCAR – Controls the estimate of the common-mode signal
COM.BOXCARD – Controls the estimate of the common-mode signal
COM.BOXFACT – Controls the estimate of the common-mode signal
COM.BOXMIN – Controls the estimate of the common-mode signal
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.FILL – Controls the estimate of the common-mode signal
COM.FIT_BOX – Controls the estimate of the common-mode signal
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_IS_ONE – Controls the estimate of the common-mode signal
COM.GAIN_POSITIVE – Controls the estimate of the common-mode signal
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.NITER – Controls the estimate of the common-mode signal
COM.NOFLAG – Controls the rejection of bad samples from the COM estimate
COM.NOREMOVE – Controls the estimate of the common-mode signal
COM.NOTFIRST – Controls the estimate of the common-mode signal
COM.NSIGMA – Controls the estimate of the common-mode signal
COM.OFFSET_IS_ZERO – Controls the estimate of the common-mode signal
COM.OLDALG – Controls the estimate of the common-mode signal
COM.PERARRAY – Controls the estimate of the common-mode signal
COM.PERARRAY_LAST – Controls the estimate of the common-mode signal on the last iteration
COM.SIG_LIMIT – Controls the rejection of time slices with inconsistent common-modes
COM.SIG_WING – Controls the rejection of time slices with inconsistent common-modes
COM.WEIGHT – Controls the estimate of the common-mode signal
COM.ZERO_ACCUM – Prevents unstable SNR masks halting convergence
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_MASK0 – Reduces spurious large scale structure in the final map within fixed regions specified by an external mask
COM.ZERO_NITER – Allows COM masking to be switched off after a given number of iterations
COM.ZERO_NOTLAST – Prevent COM masking being performed on the last iteration
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_SNR_HIPASS – FLatten map before making SNR mask
COM.ZERO_SNR_LOPASS – Smooths map before making SNR mask
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
CYCLEMAP – Produce cycle-folded maps to visualize periodic signals
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
DECONVMCE – Diagnostic tool for checking effects of MCE filter
DELAY – A diagnostic tool to check for time delays in bolometer data streams
DIAG.APPEND – Qualifies the required dignostic information
DIAG.ARRAY – Qualifies the required dignostic information
DIAG.ASTHITS – Qualifies the required dignostic information
DIAG.BOLO – Qualifies the required dignostic information
DIAG.BTABLE – Qualifies the required dignostic information
DIAG.CLEANED – Qualifies the required dignostic information
DIAG.CUBE – Qualifies the required dignostic information
DIAG.LASTONLY – Qualifies the required dignostic information
DIAG.MAP – Qualifies the required dignostic information
DIAG.MASK – Qualifies the required dignostic information
DIAG.MINGOOD – Qualifies the required dignostic information
DIAG.MODELS – Qualifies the required dignostic information
DIAG.OUT – Switches on the dumping of various diagnostic information
DIAG.POWER – Qualifies the required dignostic information
DIAG.QUAL – Qualifies the required dignostic information
DIAG.RES_AFTER – Qualifies the required dignostic information
DIAG.RES_BEFORE – Qualifies the required dignostic information
DIAG.TABLE – Qualifies the required dignostic information
DIAG.TIME – Qualifies the required dignostic information
DIAG.XPIX – Qualifies the required dignostic information
DIAG.YPIX – Qualifies the required dignostic information
DKCLEAN – Control dark squid cleaning
DKS.REPLACEBAD – Controls the DKS model
DOCLEAN – Allows pre-cleaned data to be used
DOWNSAMPFREQ – Controls data down-sampling
DOWNSAMPSCALE – Speeds up map-making, and reduces memory requirements
DUMPDIR – Directory for NDFs containing exported models etc
ENSUREFLAT – Controls flat-fielding of supplied time-series data
EPSIN – Aid convergence and image flatness
EPSOUT – Aid convergence and image flatness
EXPORTCLEAN – Allows the initial cleaned data to examined or saved for later use
EXPORTLONLAT – Export sample sky positions for use with other software
EXPORTNDF – Create NDFs holding final model values
EXPORTQBITS – Specifies the quality bits to be written out
EXT.CSOFIT – Path to file containing the CSO fit parameters
EXT.CSOTAU – Controls the extinction values used in the EXT model
EXT.DESPIKEWVM – Controls the extinction values used in the EXT model and the EXTINCTION task
EXT.DESPIKEWVMTOL – Controls the extinction values used in the EXT model and the EXTINCTION task
EXT.FILTERTAU – Controls the extinction values used in the EXT model
EXT.IMPORT – Controls the extinction values used in the EXT model
EXT.SMOOTHWVM – Controls the extinction values used in the EXT model and the EXTINCTION task
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
EXT.WVMFIT – Path to file containing the WVM fit parameters
FAKEDELAY – Diagnostic tool for checking delays in bolometer time streams
FAKEMAP – Diagnostic tool to explore the effects of the map-making process on known sources
FAKEMCE – Diagnostic tool for checking effects of MCE filter
FAKESCALE – Control the use of the supplied fake map
FILLGAPS – Controls handling of missing data within FFT code
FILLGAPS_NOISE – Controls handling of missing data within FFT code
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_EDGEHIGH – Specifies the lowest frequency to be retained by the initial data cleaning
FILT_EDGELOW – Specifies the highest frequency to be retained by the initial data cleaning
FILT_NOTCHHIGH – Specifies additional frequencies to be removed by the initial data cleaning
FILT_NOTCHLOW – Specifies additional frequencies to be removed by the initial data cleaning
FILT_ORDER – Indicates the shape of the filter
FILT_WLIM – Enables an experimental filtering method
FLAGFAST – Flag data when we re moving too fast
FLAGMAP – Dump diagnostic info about the time series qualities
FLAGSLOW – Flag data when we re moving too slowly
FLT.APOD – Control the removal of low frequencies from the time-stream data
FLT.CLIP – Speeds up convergences and reduces ringing by excluding sharp features in the bolometer time streams from the filtering performed by the FLT model
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_EDGE_SMALLSCALE – Specifies the smallest scale size to be retained by the FLT model
FLT.FILT_EDGE_SMALLSCALE_LAST – Specifies the smallest scale size to be retained by the FLT model on the last iteration
FLT.FILT_EDGEHIGH – Specifies the lowest frequency to be retained by the FLT model
FLT.FILT_EDGEHIGH_LAST – Specifies the lowest frequency to be retained by the FLT model on the last iteration
FLT.FILT_EDGELOW – Specifies the highest frequency to be retained by the FLT model
FLT.FILT_EDGELOW_LAST – Specifies the highest frequency to be retained by the FLT model on the last iteration
FLT.FILT_NOTCHHIGH – Specifies additional frequencies to be removed by the FLT model
FLT.FILT_NOTCHHIGH_LAST – Specifies additional frequencies to be removed by the FLT model on the last iteration
FLT.FILT_NOTCHLOW – Specifies additional frequencies to be removed by the FLT model
FLT.FILT_NOTCHLOW_LAST – Specifies additional frequencies to be removed by the FLT model on the last iteration
FLT.FILT_ORDER – Indicates the shape of the filter
FLT.FILT_ORDER_LAST – Indicates the shape of the filter on the last iteration
FLT.FILT_WLIM – Enables an experimental filtering method
FLT.FILT_WLIM_LAST – Enables an experimental filtering method on the last iteration
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.RING_BOX2 – Controls the flagging of samples that suffer from ringing
FLT.RING_FREEZE – Controls the flagging of samples that suffer from ringing
FLT.RING_MASK – Controls the flagging of samples that suffer from ringing
FLT.RING_MINSIZE – Controls the flagging of samples that suffer from ringing
FLT.RING_NSIGMA – Controls the flagging of samples that suffer from ringing
FLT.RING_WING – Controls the flagging of samples that suffer from ringing
FLT.UNDOFIRST – Improves convergence
FLT.WHITEN – Experimental
FLT.WHITEN_LAST – Experimental
FLT.ZERO_ACCUM – Prevents unstable SNR masks halting convergence
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_MASK0 – Reduces spurious large scale structure in the final map within fixed regions specified by an external mask
FLT.ZERO_NITER – Allows FLT masking to be switched off after a given number of iterations
FLT.ZERO_NOTLAST – Prevent FLT masking being performed on the last iteration
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_SNR_HIPASS – Flatten map before making SNR mask
FLT.ZERO_SNR_LOPASS – Smooths map before making SNR mask
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
FLT.ZEROPAD – Avoid unnecessary loss of data due to apodisation
FLT.ZEROPAD_LAST – Avoid unnecessary loss of data due to apodisation on the last iteration
GAI.FLATFIELD – Provides an alternative flat-fielding mechanism
GROUPSUBARRAY – Produce separate maps for each sub-array
HITSLIMIT – Rejects map pixels that receive very few samples
IMPORTLUT – Controls the creation of the LUT model
IMPORTSKY – Allow a map created by a previous run of makemap to be used as the inital estimate of the sky
IPANGOFF – Modify the angle of Instrumental Polarisation correction
IPMODEL – Specify the Instrumental Polarisation model to use
IPOFFSET – Modify the level of Instrumental Polarisation correction
ITERMAP – Create NDFs holding the map created by each iteration
MAPLAG – Specifies the degree of lagging between iterations
MAPTOL – Specifies when to stop iterating
MAPTOL_BOX – Specifies when to stop iterating
MAPTOL_HITS – Specifies when to stop iterating
MAPTOL_MASK – Specifies when to stop iterating
MAPTOL_MEAN – Specifies when to stop iterating
MAPTOL_RATE – Specifies when to stop iterating
MAXLEN – Determines how the input time-series data is split into chunks
MEMCHECK – Indicates what should happen if chunking is detected
MODELORDER – Specifies which models to include in the iterative process, and the order in which they are evaluated
NOEXPORTSETBAD – Controls contents of diagnostic maps
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
NOI.DCFITBOX – Controls the detection and correction of steps within the NOI model
NOI.DCLIMCORR – Controls the detection and correction of steps within the NOI model
NOI.DCMAXSTEPS – Controls the detection and correction of steps within the NOI model
NOI.DCSMOOTH – Controls the detection and correction of steps within the NOI model
NOI.DCTHRESH – Controls the detection and correction of steps within the NOI model
NOI.EXPORT – Controls the exporting of the NOI model
NOI.FILLGAPS – Controls handling of missing data within NOI FFT code
NOI.IMPORT – Controls the noise values used in the NOI model
NOI.SPIKEBOX – Controls time-based spike detection within NOI model
NOI.SPIKETHRESH – Controls time-based spike detection within NOI model
NOI.USEVAR – Controls how the NOI model is created
NOI.ZEROPAD – Controls how the NOI model handles missing data
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
OPTEFFDIV – Controls optical efficiency correction
OPTEFFS4A – Controls optical efficiency correction
OPTEFFS4B – Controls optical efficiency correction
OPTEFFS4C – Controls optical efficiency correction
OPTEFFS4D – Controls optical efficiency correction
OPTEFFS8A – Controls optical efficiency correction
OPTEFFS8B – Controls optical efficiency correction
OPTEFFS8C – Controls optical efficiency correction
OPTEFFS8D – Controls optical efficiency correction
ORDER – Baseline removal
PAD – Specifies the length of padding to add to the start and end of each time series
PAOFF – Specifies the orientation of the have-wave plate origin
PASIGN – Indicates the sense of rotation of the spinning half-wave plate
PCA.BACKOFF – Controls the determination of multiple background signals
PCA.COMFILL – Controls the determination of multiple background signals
PCA.NOISELIM – Controls the determination of multiple background signals
PCA.PCATHRESH – Controls the determination of multiple background signals
PCA.PCATHRESH_FREEZE – Controls the determination of multiple background signals
PCA.SAMPLIM – Controls the determination of multiple background signals
PCA.SKIP – Controls the determination of multiple background signals
PCALEN – Controls PCA cleaning
PCATHRESH – Controls PCA cleaning
PLN.NOTFIRST – Controls the PLN model
POL2FP – Controls creation of maps holding POL2 Q/U values
POLBOX – Controls the least squares fit used to determine Q and U
SAMPCUBE – Provides extra diagnostic information
SHORTMAP – Create NDFs holding the map made form a short chunk of data
SMO.BOXCAR – Controls the SMO model
SMO.NOTFIRST – Controls the SMO model
SMO.TYPE – Controls the SMO model
SPIKEBOX – Controls time-based spike detection within initial data cleaning
SPIKETHRESH – Controls time-based spike detection within initial data cleaning
SSN.BINSIZE – Controls the Scan Synchronous Noise model
SSN.KSIGMA – Controls the Scan Synchronous Noise model
SSN.NOTFIRST – May improve convergence by avoiding the use of a scan sychronous noise model on the first iteration
SSN.SECLEN – Controls the Scan Synchronous Noise model
SSN.THRESH – Controls the Scan Synchronous Noise model
SSN.ZERO_ACCUM – Prevents unstable SNR masks halting convergence
SSN.ZERO_CIRCLE – May speed up convergences by excluding sources within a circle of given radius from the SSN estimate
SSN.ZERO_FREEZE – Prevent the SSN mask from changing after a given number of iterations. This can help convergence
SSN.ZERO_LOWHITS – Experimental
SSN.ZERO_MASK – May speed up convergences by excluding sources within a region specified by an external mask file from the estimation of the SSN model
SSN.ZERO_NITER – Allows SSN masking to be switched off after a given number of iterations
SSN.ZERO_NOTLAST – Prevent SSN masking being performed on the last iteration
SSN.ZERO_SNR – May speed up convergences by excluding samples that correspond to high SNR pixels in the map
SSN.ZERO_SNR_FFCLEAN – Provides alternative method for SNR masking
SSN.ZERO_SNR_HIPASS – Flatten map before making SNR mask
SSN.ZERO_SNR_LOPASS – Smooths map before making SNR mask
SSN.ZERO_SNRLO – May speed up convergences by increasing the size of the SNR mask without introducing noise
SSN.ZERO_UNION – Controls how multiple SSN masks are combined
STARTUP – Blanks initial section of time-stream
SUBMEAN – Experimental
TMP.DOCOS – Controls the TMP model
TMP.DOSIN – Controls the TMP model
TMP.SOURCE – Controls the TMP model
TMP.TRIGOFFSET – Controls the TMP model
TSTEP – Determines the accuracy of each sample location within the map
TWO.AMAP – Controls the TWO model
VALIDATE_SCANS – Controls the rejection of bad scan patterns
VARMAPMETHOD – Controls how the map variance values are found
WHITEN – Experimental
ZEROPAD – Avoid unnecessary loss of data due to apodisation