kmo_noise_map - Generate a noise map from a raw frame
The noise in each pixel of the input data is estimated using gain and readnoise.
The readnoise is expected to be in the primary header (ESO DET CHIP RON), the
gain (ESO DET CHIP GAIN) has to be in each of the subsequent headers of each
detector frame. The output is the initial noise map of the data frame.
category Type Explanation Required #Frames
-------- ----- ----------- -------- -------
<none or any> RAW raw data frame Y 1
category Type Explanation
-------- ----- -----------
NOISE_MAP F2D Initial noise map
(6 Extensions, 3 data and 3 noise)
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.
The full documentation for the kmos pipeline can be downloaded as a PDF file
using the following URL:
An overview over the existing ESO pipelines can be found on the web page
Basic documentation about the EsoRex program can be found at the esorex (1) man
It is possible to call the pipelines from python using the python-cpl package.
The other recipes of the kmos pipeline are kmo_arithmetic
Alex Agudo Berbel <email@example.com>
Please report any problems to firstname.lastname@example.org. Alternatively, you may send a
report to the ESO User Support Department <email@example.com>.
This file is part of the CRIRES Instrument Pipeline Copyright (C) 2002,2003
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
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., 59 Temple
Place, Suite 330, Boston, MA 02111-1307 USA