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
Metadata
Release files for astrosa 0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| astrosa-0.2-py3-none-any.whl | Python 3 | none | any | Details |
Release files / astrosa-0.2-py3-none-any.whl
| Download URL | astrosa-0.2-py3-none-any.whl |
|---|---|
| Size | 417.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4538e588047ca5ae23f99afc06299ab43ce85897f3b335f2690106a806617825
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No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
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