Metadata-Version: 2.1
Name: Skoal
Version: 0.402
Summary: A brief description of your package
Home-page: https://github.com/borderbenja05/skoal
Author: Benny Border
Author-email: borderbenja@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.26.4
Requires-Dist: scikit-learn>=1.4.2
Requires-Dist: astropy>=6.0.1
Requires-Dist: astropy-healpix>=1.0.3
Requires-Dist: astroplan>=0.10
Requires-Dist: scipy>=1.13.0
Requires-Dist: argparse
Requires-Dist: configparser>=7.0.0
Requires-Dist: requests>=2.31.0
Requires-Dist: ligo-gracedb>=2.12.0
Requires-Dist: lxml>=5.2.1
Requires-Dist: urllib3>=2.2.1

# SKOAL (scheduling kilonovae algebraic lightweight)
A lightweight, comprehensive scheduling package built for ultrafast follow-up observations of FERMI notices and LVC notices. I originally built this for the TURBO project so it's optimized for an array of telescope mounts requiring subsecond scheduling times.


PACKAGING IN PROGRESS,
email Borderbenja@gmail.com for questions

The code can currently:
- interact with gracedb to download and read skymaps
- read and produce telescope configuration files
- create an moc tiling for square and nonsquare telescope footprints of arbitrary dimensions
- produce probability ordered target list of observable targets for given FERMI and LVC notices
- divide target list based on clusters or probability for arbitrarily sized telescope array

Planned improvements:
- add other tiling methods(Shaon's method)
- coordination between multiple telescope arrays
- add option to use balltree and compare method times
- implement algebraic option for fermi notices


Related repositories:
- https://github.com/shaonghosh/sky_tiling.git 
- https://github.com/mcoughlin/gwemopt
