9.4 STSDAS, STSCI_PYTHON and Astropy
STSCI/IRAF has been deprecated as described in the 2018 STScI Newsletter. To ease this transition for long-time IRAF users, a number of IRAF routines have been ported to python and documented via a set of Jupyter Notebook Tutorials, located in a Central Repository. The WFC3 team continues to develop tools aimed at the user community. New tools will continue to be added. We note that many of the software tools that are useful for analyzing HST data can now be found in the Astropy (the current community-supported Python Astronomy package) library of python modules.
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WFC3 Data Handbook
- • Acknowledgments
- • What's New in This Revision
- Preface
- Chapter 1: WFC3 Instruments
- Chapter 2: WFC3 Data Structure
- Chapter 3: WFC3 Data Calibration
- Chapter 4: WFC3 Images: Distortion Correction and AstroDrizzle
- Chapter 5: WFC3 UVIS Sources of Error
- Chapter 6: WFC3 UVIS Charge Transfer Efficiency - CTE
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Chapter 7: WFC3 IR Sources of Error
- • 7.1 WFC3 IR Error Source Overview
- • 7.2 Gain
- • 7.3 WFC3 IR Bias Correction
- • 7.4 WFC3 Dark Current and Banding
- • 7.5 Blobs
- • 7.6 Detector Nonlinearity Issues
- • 7.7 Count Rate Non-Linearity
- • 7.8 IR Flat Fields
- • 7.9 Pixel Defects and Bad Imaging Regions
- • 7.10 Time-Variable Background
- • 7.11 IR Photometry Errors
- • 7.12 References
- Chapter 8: Persistence in WFC3 IR
- Chapter 9: WFC3 Data Analysis
- Chapter 10: WFC3 Spatial Scan Data