This repository contains a curated set of Jupyter notebooks related to the work that we do at STScI. These notebooks follow a consistent style guide in terms of layout/structure, coding conventions etc.
These notebooks are also under continuous integration to ensure that astronomers using these notebooks have a high level of confidence that they will work.
This repository holds the notebooks themselves, but in a harder-to-read unexecuted form. If you want to view the notebooks online, you should view the rendered versions. At present this includes:
- DrizzlePac
- Initialization
- Aligning HST images to an absolute reference catalog
- Aligning HST Mosaics
- Optimizing Image Alignment for Multiple HST Visits
- Aligning Deep Exposures of Sparse Fields
- Drizzling WFPC2 Images to use a Single Zeropoint
- Satellite Trail Masking Techniques
- Optimizing the Image Sampling
- Sky Matching
- Using DS9 Regions to Include and Exclude Sources in HST Image Alignment with TWEAKREG
- MAST
- Hubble Source Catalog
- Kepler
- TESS
- Beginner: Read and Plot A TESS Data Validation Timeseries File
- Beginner: Read and Display a TESS Full Frame Image
- Beginner: Read and Plot A TESS Light Curve File
- Beginner: Read and Display A TESS Target Pixel File
- Beginner: Search The TESS Input Catalog Centered On HD 209458
- Beginner: A Tour of the Contents of the TESS 2-minute Cadence Data
- Beginner: Cutout of the TESS FFIs using Astrocut and Astroquery
- Intermediate: Search and Download GI Program Light Curves
- Intermediate: Create TESS FFI Cutout using Python Requests
Alternatively, if you would like to execute the notebooks and view them locally, you can clone this repo and do python convert.py. This requires the nbpages python package, which you can most easily install by doing pip install -e git+https://github.com/eteq/nbpages.git#egg=nbpages.
If you want to suggest changes to this content (or new content!), check out the contributing guide.