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| Both sides previous revision Previous revision Next revision | Previous revisionLast revisionBoth sides next revision | ||
| public:user_software:prefactor [2019-02-25 09:13] – [Software requirements] David Rafferty | public:user_software:prefactor [2019-02-25 09:15] – [To do list] David Rafferty | ||
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| ==== Documentation ==== | ==== Documentation ==== | ||
| - | Installation and setup is explained | + | Installation and setup is explained |
| **Please read that first!** | **Please read that first!** | ||
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| * Calibrator and target data are typically processed separately. | * Calibrator and target data are typically processed separately. | ||
| * The target data can be processed one time- or frequency- block at a time, e.g. when you have limited disk space. (The processed data is a lot smaller than the input data.) | * The target data can be processed one time- or frequency- block at a time, e.g. when you have limited disk space. (The processed data is a lot smaller than the input data.) | ||
| - | * Yes, updating the LOFAR software can be annoying. But it is worth ist! Trust me. 8-) | ||
| - | * Get someone to write a better documentation for the genericpipeline. | ||
| * Don't forget to update the recipe_directories entry in the pipeline.cfg to include the pre-factor plugins, for example: < | * Don't forget to update the recipe_directories entry in the pipeline.cfg to include the pre-factor plugins, for example: < | ||
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| https:// | https:// | ||
| - | == FACTOR == | ||
| - | |||
| - | |||
| - | * Time correlation settings given by user. | ||
| - | * Aplpy plots (Tammo has script on his github but change noise to 1mJy (current 5mJy)) | ||
| - | * All WSclean (any aliasing issues?) | ||
| - | * pybdsm boxes from restoring beam size. | ||
| - | * outer uvrange option (maybe good for help create models for selfcalbration when working at full resolution) | ||
| - | * Check that amplitudes are properly normalised | ||
| - | * Second major iteration | ||
| - | * High dynamic range option | ||
| - | * optimize number of IO-intesive (NDPPP) processes | ||