Tools for data analysis and reduction of data from the Sutherland High Speed Optical Cameras (SHOC). 📷🔭
Project description
pyshoc
pyshoc is a suite of object oriented tools for analysing data from the Sutherland High Speed Optical Cameras (SHOC). 📷🔭
Installation
pip install pyshoc
Use
To run the reduction pipeline on a set of fits files (observations of a single source):
pyshoc /path/to/data/folder -o /path/to/output/products -tel 74 --target "CTCV J1928-5001"
Documentation
- We are working on official documentation.
- For the moment the best place to see how to use pyshoc is the example notebook
Contributing
Pull requests are welcome!
- Fork it (https://github.com/astromancer/pyshoc/fork)
- Create your feature branch (
git checkout -b feature/rad) - Commit your changes (
git commit -am 'Add some cool feature 😎') - Push to the branch (
git push origin feature/rad) - Create a new Pull Request
Contact
- e-mail: hannes@saao.ac.za
License
- see LICENSE
Version
- 1.2.0
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyshoc-1.2.0.tar.gz.
File metadata
- Download URL: pyshoc-1.2.0.tar.gz
- Upload date:
- Size: 9.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
15f24136d48b238de2c1949a3504cae8f016c967d29af9ef7ea338995bc97f21
|
|
| MD5 |
507965ed69e8b69331ef2de1ddd8a3eb
|
|
| BLAKE2b-256 |
d3c4050efa613b435df91376a91ff83d75d10d9ba27e4d2577dd59aeb60f78de
|
File details
Details for the file pyshoc-1.2.0-py3-none-any.whl.
File metadata
- Download URL: pyshoc-1.2.0-py3-none-any.whl
- Upload date:
- Size: 9.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a66cbf702074b5b7439b1a8ba60c1a840c0ea6ca2478c6799fa9c36916f40e71
|
|
| MD5 |
d26d74471621266e0a6f46d2cbea7671
|
|
| BLAKE2b-256 |
83f2c392b15f3e511e9eebc89d032868f8da5795125612438b7f296621c76d0f
|