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