No description
| data | ||
| light_curves | ||
| pycs3_scripts | ||
| utils | ||
| .gitignore | ||
| config.yaml | ||
| initial_guess.ipynb | ||
| J1433+6007_maidanak_wendelstein.pdf | ||
| README.md | ||
| setup.py | ||
For William: J1433 at Maidanak + Wendelstein
This is the squeleton I setup here: https://github.com/TDCOSMO/vst_2p2_td_release with some adjustments for reading light curves in CSV files rather than from a database.
How to use: this repository
Define a working directory in config.yaml.
Then,
cd /your/clone/of/this/repository
# Make sure you have pyyaml installed before running the setup. If not, something like pip install pyyaml will do the trick.
./setup.py
will create a virtual environment, clone my branch of PyCS3, all in the working directory.
To prepare the scene for the subsequent scripts, do
source /your/venv/bin/activate
jupyter lab initial_guess.ipynb
# to preapre the the time delay runs:
cd pycs3_scripts
python prepare_pycs3_runs.py
Next, head to /your/working/directory/run_dir.
You can run the mocks and analysis with the many run_*.sh files (one per lens) you will find there.