csst_common
CSST L1 pipeline prototype.
homepage
This code is available at CSST GitLab:
documentation
A sphinx-based documentation is available at
dependency
- numpy~=1.20.3
- joblib~=1.1.0
- astropy~=5.1
installation
csst_common can be installed with the following shell command
git clone https://csst-tb.bao.ac.cn/code/csst-l1/csst_common.git
cd csst_common
pip install -r requirements.txt
python setup.py installor a single-line command
sh -c "$(curl -fsSL https://csst-tb.bao.ac.cn/code/csst-l1/csst_common/-/raw/main/install.sh)"instruction
how to import CSST parameters:
from csst_common.params import CSST_PARAMS as CP
print(CP)
print(CP["mbi"]["detector2filter"])how to use data_manager
from csst_common.data_manager import CsstMbiDataManager
dm = CsstMbiDataManager(...)
# access L0 directory
dm.dir_l0
# access L1 directory
dm.dir_l1
# access dir_pcref
dm.dir_pcref
# access path_aux
dm.path_aux
# access ver_sim
dm.ver_sim
# access target detectors
dm.target_detectors
# access available detectors
dm.available_detectors
# define an L1 file (detector-specified)
dm.l1_detector(detector=6)
# define an L1 file (non-detector-specified)
dm.l1_file("flipped_image.fits")a shortcut for test dataset
from csst_common.data_manager import CsstMbiDataManager
CsstMbiDataManager.quickstart(ver_sim="C5.2", dir_l1=".", exposure_id=100)algorithm description
The csst_common provides some common modules for CSST pipeline.
csst_common.parameterscsst_common.data_manager