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public:user_software:documentation:ndppp [2019-08-29 09:01] – [Input] Tammo Jan Dijkema | public:user_software:documentation:ndppp [2019-10-24 08:22] – [DPPP] Tammo Jan Dijkema |
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* **[[#DDECal]]** to calibrate direction dependent gains. | * **[[#DDECal]]** to calibrate direction dependent gains. |
* **[[#Predict]]** to predict the visibilities of a given sky model. | * **[[#Predict]]** to predict the visibilities of a given sky model. |
* **[[#H5ParmPredict]]** to predict visibilities corrupted by an instrument model (in H5Parm) | * **[[#H5ParmPredict]]** to subtract multiple directions of visibilities corrupted by an instrument model (in H5Parm) generated by DDECal. |
* **[[#ApplyBeam]]** to apply the LOFAR beam model, or the inverse of it. | * **[[#ApplyBeam]]** to apply the LOFAR beam model, or the inverse of it. |
* **[[#ScaleData]]** to scale the data with a polynomial in frequency (based on SEFD of LOFAR stations). | * **[[#ScaleData]]** to scale the data with a polynomial in frequency (based on SEFD of LOFAR stations). |
| <step>.type | string | | Case-insensitive step type; must be 'demixer' (or 'demix'). | | | <step>.type | string | | Case-insensitive step type; must be 'demixer' (or 'demix'). | |
| <step>.baseline | string | "" | Baselines to demix. See [[#Description of baseline selection parameters]]. | | | <step>.baseline | string | "" | Baselines to demix. See [[#Description of baseline selection parameters]]. | |
| <step>.blrange | double vector | "" | Baselines to demix. See [[#Description of baseline selection parameters]]. | | | <step>.blrange | double vector | [] | Baselines to demix. See [[#Description of baseline selection parameters]]. | |
| <step>.corrtype | string | cross | Baselines to demix. Correlation type to match? Must be auto, cross, or an empty string. | | | <step>.corrtype | string | cross | Baselines to demix. Correlation type to match? Must be auto, cross, or an empty string. | |
| <step>.timestep | integer | 1 | Number of time slots to average when subtracting. It is truncated if exceeding the actual number of times. Note that the data itself will also be averaged by this amount. | | | <step>.timestep | integer | 1 | Number of time slots to average when subtracting. It is truncated if exceeding the actual number of times. Note that the data itself will also be averaged by this amount. | |
| <step>.statfilename | string | "" | File to write the step-sizes to. Form of the file is: "<iterationnr> <normalized-stepsize> <unnormalized-stepsize>", and all solution intervals are concatenated. File is not written when this parameter is empty. | | | <step>.statfilename | string | "" | File to write the step-sizes to. Form of the file is: "<iterationnr> <normalized-stepsize> <unnormalized-stepsize>", and all solution intervals are concatenated. File is not written when this parameter is empty. | |
| <step>.uvlambdamin | double | 0 | Ignore baselines / channels with UV < uvlambdamin wavelengths. **Note**: also all other variants of uv flagging described in [[#UVWFlagger]] (uvmmin, uvmrange, uvlambdarange, etc) are supported (New in 3.1).| | | <step>.uvlambdamin | double | 0 | Ignore baselines / channels with UV < uvlambdamin wavelengths. **Note**: also all other variants of uv flagging described in [[#UVWFlagger]] (uvmmin, uvmrange, uvlambdarange, etc) are supported (New in 3.1).| |
| <step>.subtract | bool | false | Subtracts the corrected model from the data.| | | <step>.subtract | bool | false | Subtracts the corrected model from the data. **NOTE** This may not work when you apply a uv-cut. | |
| <step>.useidg | bool | false | Do image-based prediction using IDG.| | | <step>.useidg | bool | false | Do image-based prediction using IDG.| |
| <step>.idg.image | string | "" | Name of fits file for IDG prediction. Should have the phase direction of the measurement set. | | | <step>.idg.image | string | "" | Name of fits file for IDG prediction. Should have the phase direction of the measurement set. | |