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:

1. Solve astrometry on the entire image.
2. Compute master bias (if it does not exist) and de-bias the image.
3. Separate the image into 4 filters.
4. Compute flat field for each filter (if it does not exist) and apply flat fielding on the image.
5. Computes cosmic ray rejection on the entire image.
6. Compute zeropoint for each image and store in a log file.
7. Plot zeropoint for the night.

-- NadiaBlagorodnova - 27 Oct 2015