HAWKI_STEP_REFINE_OFFSETS(7) - Linux man page online | Overview, conventions, and miscellany
(OBSOLETE) Jitter recipe.
Chapter
2.2.0
HAWKI_STEP_REFINE_OFFSETS(7) hawki recipes HAWKI_STEP_REFINE_OFFSETS(7)
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hawki_step_refine_offsets 2.2.0 HAWKI_STEP_REFINE_OFFSETS(7)
NAME
hawki_step_refine_offsets - (OBSOLETE) Jitter recipeSYNOPSIS
esorex hawki_step_refine_offsets [OPTIONS] FILE.sofDESCRIPTION
(OBSOLETE) hawki_step_refine_offsets -- utility to refine the nominal offsets. This utility will take the offsets in the header as a first approach and tries to refine them correlating the input images at the points given by the detected objects. The input of the recipe files listed in the Set Of Frames (sof-file) must be tagged as: images.fits DIST_CORRECTED or images.fits BKG_SUBTRACTED and det_obj_stats.fits OBJ_PARAM The recipe creates as an output: hawki_step_refine_offsets.fits (OFFSETS_REFINED): Table with refined offsets Return code: esorex exits with an error code of 0 if the recipe com‐ pletes successfully or 1 otherwiseOPTIONS
--xcorr <str> Cross correlation search and measure sizes (str; default: ´20,20,25,25´). The full name of this option for the EsoRex configuration file is hawki.hawki_step_refine_offsets.xcorr [default = 20,20,25,25]. --nbrightest <long> Number of brightest objects to use (long; default: 3). The full name of this option for the EsoRex configuration file is hawki.hawki_step_refine_offsets.nbrightest [default = 3]. Note that it is possible to create a configuration file containing these options, along with suitable default values. Please refer to the details provided by the 'esorex --help' command.SEE ALSO
The full documentation for the hawki pipeline can be downloaded as a PDF file using the following URL: ftp://ftp.eso.org/pub/dfs/pipelines/hawki/hawki-pipeline-manual-2.2.0.pdf An overview over the existing ESO pipelines can be found on the web page http://www.eso.org/sci/software/pipelines/. Basic documentation about the EsoRex program can be found at the esorex (1) man page. It is possible to call the pipelines from python using the python-cpl package. See http://packages.python.org/python-cpl/index.html for further information. The other recipes of the hawki pipeline are hawki_cal_dark(7), hawki_cal_distortion(7), hawki_cal_flat(7), hawki_cal_zpoint(7), hawki_dark_combine(7), hawki_detector_noise(7), hawki_linearity_analyse(7), hawki_sci_jitter(7), hawki_science_postprocess(7), hawki_sci‐ ence_process(7), hawki_standard_process(7), hawki_step_apply_dist(7), hawki_step_basic_calib(7), hawki_step_combine(7), hawki_step_compute_bkg(7), hawki_step_detect_obj(7), hawki_step_photom_2mass(7), hawki_step_stats(7), hawki_step_stitch(7), hawki_step_subtract_bkg(7), hawki_tec_filtchk(7), hawki_twi‐ light_flat_combine(7), hawki_util_gendist(7), hawki_util_stdstars(7)VERSION
hawki_step_refine_offsets 2.2.0AUTHOR
ESO Pipeline Group <
BUG REPORTS
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