Running NICRED can be as simple as executing the following command in a terminal:
nicred.py run_name input_data_directory
Where run_name is the name of the dataset (e.g. A1689_NIC3) and input_data_directory is the path to the uncalibrated data directory.
The NICRED pipeline requires the full set of uncalibrated data products and best reference files for each observation in the input image set. These files can be readily obtained through the MAST HST archive. When requesting data from MAST you need to specify:
- Science Files Requested: Uncalibrated
- Reference Files: Best Reference Files
For most image sets NICRED can be run in the default configuration with no additional interaction required. If the default settings are insufficient for processing a particular data set, there are a number of run-time options which may be applied to help improve the reductions:
- Modules can be run manually step-by-step allowing for the inspection of the output at each step.
- Modules can be skipped.
- A pipeline run can be stopped, restarted or rerun at any stage of the reduction after the initial setup.
- An external reference image can be used to improve the internal alignment of the reduced NICMOS frames.
Here’s a listing of the NICRED command line options:
Usage: nicred.py run_name raw_in_dir
Options:
--version show program's version number and exit
-h, --help show this help message and exit
--setup run setup only
--undopuft run undopuft only
--calped run calped only
--saaclean run saaclean only
--medsub run medsub only
--flatten run flatten only
--nonlincor run nonlincor only
--applymask interrupt processing to manually run masking tools
--align run align only
--weightmap run weightmap only
--mdrizzle run mdrizzle only
-a ALIGNREF, --alignref=ALIGNREF
external reference image used for alignment
-n MODULE, --rerun=MODULE
rerun nicred from MODULE on
-r, --restart restart nicred
-s SKIP, --skip=SKIP Skip running module/s
-t TARGNAME, --targname=TARGNAME
run nicred only on images with name TARGNAME on
--pedsub Use pedsub instead of pedsky
--pixel_scale=PIXEL_SCALE
pixel scale (in arcsec/pixel) for final drizzled
images (default=0.1)
--pixel_frac=PIXEL_FRAC
pixel fraction for final drizzled images (default=0.7)
--drz_kernel=KERNEL drizzel kernel for final drizzled images
(default=square)
--noskysub turn off multidrizzle sky subtraction
--brightobj take several actions to better cope with bright
objects
Run NICRED with the --applymask option. NICRED will stop processing after the nonlincor module and give instructions on how to run the masking tools on your data.
As we stated previously, NICRED was developed primarily for reducing imaging data of extragalactic sources. Here are some tips for reducing other types of data:
Add tips here