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| Parameter | Type | Values | Default | Description |
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| Parameter | Type | Values | Default | Description |
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|--------------|-----------|-----------|------------|----------------|
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| scaleNoise.enable | bool | true, false | false | If set to `true`, noise scaling will be enabled. The purpose of the noise scaling modules is to measure the noise level in the input cube and then divide the input cube by the noise. This can be used to correct for spatial or spectral noise variations across the input cube prior to running the source finder. |
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| scaleNoise.enable | bool | true, false | false | If set to `true`, noise scaling will be enabled. The purpose of the noise scaling modules is to measure the noise level in the input cube and then divide the input cube by the noise. This can be used to correct for spatial or spectral noise variations across the input cube prior to running the source finder. |
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| scaleNoise.fluxRange | string | positive, negative, full | negative | Flux range to be used in the noise measurement. If set to `negative` or `positive`, only pixels with negative or positive flux will be used, respectively. This can be useful to prevent real emission or artefacts from affecting the noise measurement. If set to `full`, all pixels will be used in the noise measurement irrespective of their flux. |
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| scaleNoise.gridSpatial | int | ≥ 0 | 0 | Size of the spatial grid across which noise measurement window will be moved across the data cube. It must be an odd integer value. If set to 0 instead, the spatial grid size will default to half the spatial window size. |
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| scaleNoise.gridSpatial | int | ≥ 0 | 0 | Size of the spatial grid across which noise measurement window will be moved across the data cube. It must be an odd integer value. If set to 0 instead, the spatial grid size will default to half the spatial window size. |
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| scaleNoise.gridSpectral | int | ≥ 0 | 0 | Size of the spectral grid across which noise measurement window will be moved across the data cube. It must be an odd integer value. If set to 0 instead, the spectral grid size will default to half the spectral window size. |
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| scaleNoise.gridSpectral | int | ≥ 0 | 0 | Size of the spectral grid across which noise measurement window will be moved across the data cube. It must be an odd integer value. If set to 0 instead, the spectral grid size will default to half the spectral window size. |
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| scaleNoise.interpolate | bool | true, false | false | If set to `true`, linear interpolation will be used to interpolate the measured local noise values in between grid points. If set to `false`, the entire grid cell will instead be filled with the measured noise value. |
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| scaleNoise.interpolate | bool | true, false | false | If set to `true`, linear interpolation will be used to interpolate the measured local noise values in between grid points. If set to `false`, the entire grid cell will instead be filled with the measured noise value. |
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| scaleNoise.mode | string | spectral, local | spectral | Noise scaling mode. If set to `spectral`, the noise level will be determined for each spectral channel by measuring the noise within each image plane. This is useful for data cubes where the noise varies with frequency. If set to `local`, the noise level will be measured locally in window running across the entire cube in all three dimensions. This is useful for data cubes with more complex noise variations, such as interferometric images with primary-beam correction applied. |
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| scaleNoise.mode | string | spectral, local | spectral | Noise scaling mode. If set to `spectral`, the noise level will be determined for each spectral channel by measuring the noise within each image plane. This is useful for data cubes where the noise varies with frequency. If set to `local`, the noise level will be measured locally in window running across the entire cube in all three dimensions. This is useful for data cubes with more complex noise variations, such as interferometric images with primary-beam correction applied. |
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| scaleNoise.statistic | string | std, mad, gauss | mad | Statistic to be used in the noise measurement process. Possible values are `std`, `mad` and `gauss` for standard deviation, median absolute deviation and Gaussian fitting to the flux histogram, respectively. Standard deviation is by far the fastest algorithm, but it is also the least robust one with respect to emission and artefacts in the data. Median absolute deviation and Gaussian fitting are far more robust in the presence of strong, extended emission or artefacts, but will usually take longer. |
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| scaleNoise.windowSpatial | int | ≥ 0 | 25 | Spatial size of the window used in determining the local noise level. It must be an odd integer value. If set to 0, the pipeline will use the default value instead. |
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| scaleNoise.windowSpatial | int | ≥ 0 | 25 | Spatial size of the window used in determining the local noise level. It must be an odd integer value. If set to 0, the pipeline will use the default value instead. |
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| scaleNoise.windowSpectral | int | ≥ 0 | 15 | Spectral size of the window used in determining the local noise level. It must be an odd integer value. If set to 0, the pipeline will use the default value instead. |
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| scaleNoise.windowSpectral | int | ≥ 0 | 15 | Spectral size of the window used in determining the local noise level. It must be an odd integer value. If set to 0, the pipeline will use the default value instead. |
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| output.writeMask | bool | true, false | false | If set to `true`, then a data cube containing the source mask produced by the source finder will be written in FITS format. The mask cube will have the suffix `_mask.fits`. |
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| output.writeMask | bool | true, false | false | If set to `true`, then a data cube containing the source mask produced by the source finder will be written in FITS format. The mask cube will have the suffix `_mask.fits`. |
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| output.writeMoments | bool | true, false | false | If set to `true`, then images of the spectral moments 0, 1 and 2 will be written in FITS format. The moment maps will have the suffix `_mom0.fits`, `_mom1.fits` and `_mom2.fits`. Note that moments 1 and 2 will not be produced if the input data cube is only two-dimensional. |
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| output.writeMoments | bool | true, false | false | If set to `true`, then images of the spectral moments 0, 1 and 2 will be written in FITS format. The moment maps will have the suffix `_mom0.fits`, `_mom1.fits` and `_mom2.fits`. Note that moments 1 and 2 will not be produced if the input data cube is only two-dimensional. |
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| output.writeNoise | bool | true, false | false | If set to `true` and local noise scaling is enabled, then a data cube containing the measured local noise values will be written in FITS format. The noise cube will have the suffix `_noise.fits`. | |
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| output.writeNoise | bool | true, false | false | If set to `true` and local noise scaling is enabled, then a data cube containing the measured local noise values will be written in FITS format. The noise cube will have the suffix `_noise.fits`. | |
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