IFU Data Reduction pipeline
Current version in Nick Konidaris/Don Neill's
Github.
Quick Guide for automated pipeline can be found
here.
Photometric Data Reduction pipeline
Location
/scr2/nblago/kpy/SEDMrph/rcred.py
Requisites
Ureka must be setup before running the pipeline.
Usage
- First, reduce the photometry for the night's directory:
python /scr2/nblago/kpy/SEDMrph/rcred.py -d 2016XXXX
- Second, calibrate the zeropoints:
python /scr2/nblago/kpy/SEDMrph/zeropoint.py -d 2016XXXX/reduced
- Third, call the aperture photometry:
python /scr2/nblago/kpy/SEDMrph/app_phot.py -d 2016XXXX/reduced
Operation
/scr2/nblago/kpy/SEDMrph/rcred.py
Steps:
- Solve astrometry on the entire image.
- Compute master bias (if it does not exist) and de-bias the image.
- Separate the image into 4 filters.
- Compute flat field for each filter (if it does not exist) and apply flat fielding on the image.
- Computes cosmic ray rejection on the entire image.
- Compute zeropoint for each image and store in a log file.
- Plot zeropoint for the night.
--
NadiaBlagorodnova - 27 Oct 2015