astrohitc / int-ids-datareduction

Pipeline to reduce long-slit spectra taken using IDS on the Isaac Newton Telescope, La Palma

INT-IDS-DataReduction

Pipeline to reduce long-slit spectra taken using IDS on the Isaac Newton Telescope, La Palma

Pre requisites

This pipeline is based on Python 3, and works best in a Jupyter Notebook environment. Installation instructions for Jupyter Notebook can be found here: https://jupyter.org/install.

The following Python packages are needed for this pipeline to function:

• numpy
• matplotlib
• astropy
• scipy
• ccdproc
• mpdaf

Functions

This pipeline performs all the basic CCD data reduction. This is done using the Python package ccdproc, which can be downloaded using pip install ccdproc for python2 or pip3 install ccdproc for python3.

The data reduction steps performed are:

• create a master bias frame

• create a master lamp flat frame

• create a master sky flat frame

• reduce individual science frames. Perform gain correction, bias subtraction, flat fielding and sky subtraction

• median combine reduced science frames into a deep spectrum

• reduce arc frames for wavelength calibration

• wavelength calibrate the 2D science spectrum

• extract and save 1D spectrum from a given position and aperture size. This feature requires the python package mpdaf. This can be downloaded using pip install mpdaf for python2 or pip3 install mpdaf for python3.

To add: flux calibration

The following reduction code works directly from the full set of images in a given night's observations. As observations are added during the evening, the ImageFileCollection object defined at the beginning needs to be refreshed.

ftp where frames are stored: rsync -av intobs@intdrpc1:/obsdata/inta/20190405/ .