fors_remove_bias(7) Subtract bias from input frame

SYNOPSIS

esorex fors_remove_bias [OPTIONS] FILE.sof

DESCRIPTION

This recipe is used to subtract the overscan and master bias(produced by the recipe fors_bias) from one raw data frame. The overscan regions, if present, are used to compensate for variations of the overall bias level between master bias and input raw frame. The overscan regions are then trimmed from the result.

The recipe should allow any fors frame.

Input files:


  DO category:               Type:       Explanation:         Required:
  ANY_CAT
                  Raw         Raw data frame          Y
  MASTER_BIAS                Calib       Master bias frame       Y

Output files:


  DO category:               Data type:  Explanation:
  ANY_CAT_UNBIAS             FITS image  Bias subtracted frame

OPTIONS

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.

VERSION

fors_remove_bias 5.3.5

AUTHOR

Carlo Izzo <[email protected]>

BUG REPORTS

Please report any problems to [email protected]. Alternatively, you may send a report to the ESO User Support Department <[email protected]>.

LICENSE

This file is currently part of the FORS Instrument Pipeline Copyright (C) 2002-2011 European Southern Observatory

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA