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How to use the Pipeline
The main goal of the Goodman Pipelines is to have a tool that let us, without too much effort, have reduced data very quick enough. At the Final version we plane to have the following.
- Basic CCD Reduction (bias, flat, etc)
- Spectrum Identification
- Spectrum Tracing
- Spectrum Extraction (sum within aperture and background subtraction)
- Optimal Extraction
- Wavelength Calibration (Interactive and Automatic)
- Flux Calibration
The ticked options are already implemented and the others are planned to be complete for the version 1.0 release.
The pipeline is split in two parts, redccd
and redspec
(short for reduce CCD and reduce spectrum). They have to be run in sequence, there is a plan to create a single one that can handle either spectra or images.
For help use the argument -h
or --help
.
$ redccd --help
.
# or
.
$ redspec --help
$ redccd -h
usage: redccd [-h] [-c] [--ignore-bias] [--auto-clean] [--saturation <Value>]
[--raw-path raw_path] [--red-path red_path] [--debug]
[--log-to-file] [--flat-normalize <Normalization Method>]
[--flat-norm-order <Order>]
PyGoodman CCD Reduction - CCD reductions for Goodman spectroscopic data
optional arguments:
-h, --help show this help message and exit
-c, --cosmic Clean cosmic rays from science data.
--ignore-bias Ignore bias correction
--auto-clean Automatically clean reduced data directory
--saturation <Value> Saturation limit. Default to 55.000 ADU (counts)
--raw-path raw_path Path to raw data.
--red-path red_path Path to reduced data.
--debug Show detailed information of the process.
--log-to-file Write log to a file.
--flat-normalize <Normalization Method>
Chose a method to normalize the flat for spectroscoy.
Choices are: mean, simple (model) and full (fits model
to each line).
--flat-norm-order <Order>
Defines the order of the model to be fitted.
You can simply run redccd
alone and it will work with certain defaults.
--cosmic False
--ignore-bias False
--auto-clean False
--debug False
--log-to-file False
--saturation 55000
--raw-path ./
--red-path ./RED/
--flat-normalize simple
--flat-norm-order 15
So, --raw-path
is the directory where your data is located and if you don't put any --red-path
it will try to use $(--raw-path)/RED
$ redspec -h
usage: redspec [-h] [-p <Source Path>] [-d <Destination Path>]
[-s <Search Pattern>] [-m <Processing Mode>]
[-r <Reference Lamp>] [-l <Lamp File>] [-o <Out Prefix>]
[-R <Reference Dir>] [-i] [--debug] [--log-to-file]
Extracts goodman spectra and does wavelength calibration.
Supported Processing Modes are:
<0>: (Default) reads lamps taken at the begining or end of the night.
<1>: one or more lamps around science exposure.
optional arguments:
-h, --help show this help message and exit
-p <Source Path>, --data-path <Source Path>
Path for location of raw data. Default <./>
-d <Destination Path>, --proc-path <Destination Path>
Path for destination of processed data. Default <./>
-s <Search Pattern>, --search-pattern <Search Pattern>
Pattern for matching the goodman's reduced data.
-m <Processing Mode>, --proc-mode <Processing Mode>
Defines the mode of matching lamps to science targets.
-r <Reference Lamp>, --reference-lamp <Reference Lamp>
Name of reference lamp file for mode 0. If not
present, the first one in the list will be selected
-l <Lamp File> Name of an ASCII file describing which science target
uses which lamp. default <lamp.txt>
-o <Out Prefix>, --output-prefix <Out Prefix>
Prefix to add to calibrated spectrum.
-R <Reference Dir>, --reference-files <Reference Dir>
Directory of Reference files location
-i, --non-interactive
Interactive wavelength solution. Enabled by default.
--debug Debugging Mode
--log-to-file Write log to a file
Again you can run it alone, i.e. without any arguments but most likely you will have to use --search-pattern
because
it will depend on the previous step.
--data-path ./
--proc-path ./
--search-pattern cfzsto
--proc-mode 0
--reference-lamp (empty string)
--lamp-file lamps.txt
--output-prefix g
--reference-files refdata
--interactive False
--debug False
--log-to-file False
Since a Pipeline or Data Reduction Software can cover a limited number of scenarios it is absolutely necessary to do some preparation before. Our idea is to evolve this software in a way that can be used as a library to allow to reduce multiple instrument configurations and cases but for now, read on.
I would recommend running the pipeline from the same directory where your data is but you can certainly run from anywhere using the appropriate keyword telling where to look for data. For ccdred
however you can run it from a directory containing as many sub directories as you want. You can mix imaging with spectroscopy but not within a single sub directory. Regarding data you can have as many configurations as you want but is important not to mix ROIs CCD readout modes/speeds
You need the following OBSTYPE
data.
- BIAS (at least three, recommended 10 or more)
- Flats (at least three)
- Objects
Bias are absolutely necessary since there is no overscan region in Imaging. And (quite obviously) you need the flats and objects as well.
It is possible to mix different Imaging configurations as well.
DO NOT MIX ROI NOR CCD READOUT MODES
For spectroscopy there is more variety. but the same principles apply.
The OBSTYPE
needed for processing spectroscopic data are:
- BIAS
- FLAT with grating
- FLAT without grating
- OBJECT
- COMP
Again, you can mix (optical) instrument configurations but not ROI nor CCD readout.
You can simply run redccd
and it should work fine with the defaults, it does most of the cases. If it doesn't check what variables you need to modify in order to get the best results. Most likely you will want to use --saturation
to change the saturation level --cosmic
to activate Cosmic Ray Rejection (uses LACosmic) and a very useful one, --auto-clean
if you are running the pipeline a second time and there are files left in the destination folder. So here is one important point: Your raw data folder can not be the same as the processed data folder or in other words the processed data must go to a different folder.
So, how do I know if the execution of the pipeline was a success?. First of all the obvious way. If the program ended with no error is already a good sign. Then you should look into the reduced data folder, default is [raw data path]/RED/
and look for certain files.
-
Master Bias
master_bias.fits
ormaster_bias_N.fits
in case there are more than one. N is an integer that counts them. -
Master Flats. There is a naming convention for master flats. Then they are easy to catch for reuse. All of them start with
master_flat
of course, for imaging and for spectroscopy.master_flat_name += '_' + flat_filter + dome_sky + '.fits'
Here
master_flat_name = 'master_flat'
,flat_filter
is the name of the filter used for imaging.dome_sky
is either of three options.'dome'
for domeflats taken before sunset,'sky'
for domeflats taken between sunset and end of twilight and finally'night'
for domeflats taken after afternoon twilight and before morning twilight.master_flat_name += target_name + flat_grating + wavmode + filter2 + '_' + flat_slit + dome_sky + '.fits'
Here
master_flat_name = 'master_flat'
,target_name
is optional. Sets of flats taken in the afternoon or isolated in the night do not take thetarget_name
value.flat_grating
is the grating frequency.wavmode
is the wavelength mode, a set of predefined angles for grating an camera in Goodman.filter2
is the order blocking filter that usually resides in the second filter wheel. If there is no filter it will be set to empty string.flat_slit
is the width of the slit in arcseconds with two decimal points.dome_sky
is either of three options which depends on the time of the day at which the set of flats was taken.'dome'
for before sunset,'sky'
for flats taken between sunset and the end of the twilight and finally'night'
for domeflats taken after the end of the twilight. Examples:master_flat_400m2_GG455_1.03_dome.fits master_flat_Feige110_2100Custom_650nm_1.03_night.fits
After a master flat is normalized the prefix
norm_
is added. -
Science and other images. For science images and others (COMP for instance) the original name of the image is maintained plus a prefix in which every letter will represent a process
Letter Meaning c Cosmic Ray Rejection f Flat fielded z Bias corrected s Slit section trimmed t Initial trim section applied o Overscan Correction For example:
# Spectroscopy cfzsto_0281_HILT600_2100.fits cfzsto_0285_comp_2100.fits cfzsto_0296_CVSO166_400m2_gg455.fits # Imaging cfzt_0191_SA98_618.fits cfzt_0197_SA98_618.fits cfzt_0203_SA98_618.fits
(will complete this after I have reduced the number of bugs on redccd
)
redccd
will add the prefix g
to the filenames.
Goodman Data Reduction Pipeline WIKI
Goodman Pipeline