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https://github.com/mwcraig/aavso-2019
Resources related to talk at AAVSO 2019
https://github.com/mwcraig/aavso-2019
Last synced: 20 days ago
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Resources related to talk at AAVSO 2019
- Host: GitHub
- URL: https://github.com/mwcraig/aavso-2019
- Owner: mwcraig
- Created: 2019-10-10T16:11:39.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-10-20T20:46:53.000Z (over 5 years ago)
- Last Synced: 2024-12-06T06:25:31.261Z (3 months ago)
- Size: 947 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Python for variable star astronomy
## Sign up here to try the software: https://forms.gle/b4qxstUNCuw3ft1A9+ Talk slide: [On SlideShare](https://www.slideshare.net/mwcraig/python-for-variable-star-astronomy-a-status-report-184520240) or [in this repository](craig-aavso-fall-2019.pdf)
+ [Guide to CCD data reduction](#Guide-to-CCD-Data-reduction-with-Python)
+ [graphical package for reducing data](#Straightforward-data-reduction-package)
+ [Want to try out the photometry/seeing profile, etc.?](#Photometry-package-for-stellar-photometry)
+ [Astropy packages related to stellar photometry](#Astropy-packages-related-to-stellar-photometry)## Guide to CCD Data reduction with Python
### This is the item most ready for commentsThe guide is at: https://mwcraig.github.io/ccd-as-book/00-00-Preface.html
The most straightforward way to provide feedback does not require you to run any of the code on your computer (though that is an option if you prefer it).
You will need a free account on GitHub.com to make comments, and you will need to log into GitHub.
Please go to the book at https://mwcraig.github.io/ccd-as-book/00-00-Preface.html
Below each section heading is a link that says "Click here to comment on this section in GitHub".
Clicking on any of those links as you read through the guide will take you to the location of that section on GitHub so that you can make comments.
To make a comment:
+ When you move your mouse over a line, a blue "plus" sign will be visible at the beginning of the line (if you are logged in to GitHub).
+ Click that blue plus and a box for making a comment will appear.
+ When you are done writing your comment, click either "Add single comment" or "Start a review".
+ If you click "Start a review" then you will need to complete the review by clicking on "Finish your review" in the upper right hand corner of the screen.## Straightforward data reduction package
The package [reducer](https://github.com/mwcraig/reducer) presents a graphical interface to Python data reduction. To get started, [take a look at its documentation](https://reducer.rtfd.io).
## Photometry package for stellar photometry
Please sign up here to get an email in early December for testing the software: https://forms.gle/b4qxstUNCuw3ft1A9
If you want to try out the software in the [poster about TESS and VSX photometry](https://github.com/feder-observatory/aavso2019-poster) please click the button below. It will open a browser windows in which you can try out the software:
[](https://mybinder.org/v2/gh/feder-observatory/aavso2019-poster/master?filepath=comparison_demo.ipynb)
Currently, the notebooks and underlying software are in two different places (which is why we recommend waiting a bit to try it out):
+ The Jupyter notebooks are [here](https://github.com/mwcraig/obs-astronomy-binder/tree/master/ORIGINALS-OF-USEFUL-NOTEBOOKS)
+ The underlying software is [here](https://github.com/glowing-waffle/glowing-waffles) (sorry about the package name 🙄)## Astropy packages related to stellar photometry
+ [ccdproc](https://ccdproc.rtfd.io) is the package for performing standard data reduction tasks.
+ [photutils](https://photutils.rtfd.io) performs aperture photometry (not restricted to circular apertures), modeling of image background and PSF photometry.
+ [astroquery](https://astroquery.rtfd.io) can be used to add astrometry via astrometry.net, among other things.
+ [astroscrappy](https://astroscrappy.rtfd.io) removes cosmic rays using the LACosmic method.
+ [astropy](https://astropy.rtfd.io) is used for time and coordinate operations.