This project is an assessment framework for astronomical observation schedulers.

这是一个评价天文观测调度器的框架。

Refers to main.py

参见：main.py

python -m pip install -r requirements.txt

AstroSA is available in Pypi.

pip install astrosa

Also, you can install from source code.

git clone https://github/h-xie/astrosa
cd astrosa
pip install .

AstroSA provide a sqlite database in directory astrosa/data/astrosa.sqlite.It contains experimental data from the paper, including a priority plan, a sequential plan, and corresponding cloud data on the date 2023-06-08 at location JLO.

You can use by

import sqlite3
import astrosa

database = astrosa.DATA_DIR
conn = sqlite3.connect(database + '/astrosa.sqlite')

We also provide a data converter from VizieR to sqlite in tyc2_to_sql.ipynb. You can use it to convert tycho-2 from FITS format to sqlite format. Tycho-2 catalogue can be downloaded via: Tycho-2 catalogue in FITS

We provide cloud image to score script cloud_to_data.py. You can use it to convert cloud image to cloud data. It only counts NIGHT.

python cloud_to_data.py -f path_to_your_cloud_image