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public:user_software:documentation:ndppp [2020-01-09 14:12] – [DDECal] André Offringa | public:user_software:documentation:ndppp [2020-01-09 14:14] – [DDECal] André Offringa |
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|<step>.subtract | bool | false | Subtracts the corrected model from the data. **NOTE** This may not work when you apply a uv-cut.| | |<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.images|list|[]|Filename of ''.fits'' model images, one per frequency term. The terms are defined as for a polynomial source spectra (not logarithmic), e.g. see [[https://sourceforge.net/p/wsclean/wiki/ComponentList|<step>.idg.regions|string|""|DS9 regions file describing the facets for IDG prediction.| | |<step>.idg.images|list|[]|Filename of ''.fits'' model images, one per frequency term. The terms are defined as for a polynomial source spectra (not logarithmic), e.g. see [[https://sourceforge.net/p/wsclean/wiki/ComponentList/|this WSClean page]]. The frequency in the metadata of the fits files is used as nu<sub>0</sub> in the polynomial evaluation.| |
/|this WSClean page]]. The frequency in the metadata of the fits files is used as nu<sub>0</sub> in the polynomial evaluation.| | |<step>.idg.regions|string|""|DS9 regions file describing the facets for IDG prediction.| |
|<step>.savefacets|bool|false|Write out each facet as a fits file (named facet<N>.fits). Only useful when useidg=true.| | |<step>.savefacets|bool|false|Write out each facet as a fits file (named facet<N>.fits). Only useful when useidg=true.| |
|<step>.onlypredict|bool|false|Instead of solving, output the predicted visibilities instead. This is useful for testing, although when doing faceted prediction with IDG, it might be fast for certain cases.| | |<step>.onlypredict|bool|false|Instead of solving, output the predicted visibilities instead. This is useful for testing, although when doing faceted prediction with IDG, it might be fast for certain cases.| |