Astronomical Observation Schedule Assessment Framework
Project description
AstroSA: Astronomical Observation Scheduler Assessment
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。
Usage
Refers to main.py
参见:main.py
Requirements
python -m pip install -r requirements.txt
Install
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 .
Data
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')
Catalogue
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
Cloud
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
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 Distributions
Built Distribution
File details
Details for the file astrosa-0.2-py3-none-any.whl
.
File metadata
- Download URL: astrosa-0.2-py3-none-any.whl
- Upload date:
- Size: 417.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4538e588047ca5ae23f99afc06299ab43ce85897f3b335f2690106a806617825 |
|
MD5 | c23d33f2a1a8ecba6f6961db758e7966 |
|
BLAKE2b-256 | 48a91a7095d4f5607a466c98ddabd30b7d92f3d54cf18652eb7f98849943995b |