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Python implementations of the class of models running under the name of "3D Coronal Rope Ejection Model", a modelling techniqe for coronal mass ejection (CME) flux ropes. Originally forked from https://github.com/ajefweiss/py3DCORE.
First install new conda environment:
conda create -n "3dcorenv" python=3.10.10
conda activate 3dcorenv
Install the latest version of HelioSat manually using git:
git clone https://github.com/ajefweiss/HelioSat
cd HelioSat
pip install -e .
Install the latest version manually using git:
git clone https://github.com/helioforecast/py3DCORE
cd py3DCORE
pip install -e .
Install all necessary packages:
pip install -r requirements.txt
or the original version from https://github.com/ajefweiss/py3DCORE.
To start the application:
cd src/py3dcore/dashcore
python main.py
3DCORE can work with several coordinate frames. Be careful to interpret results correctly.
3DCORE uses the package HelioSat (https://github.com/ajefweiss/HelioSat) to retrieve spacecraft data and other spacecraft related information (positions, trajectories, etc).
In order for HelioSat to work properly, the following steps are necessary:
- manually create the folder ~/.heliosat
- within .heliosat, manually create the following three folders
- cache
- data
- kernels
- if HelioSat fails to download kernels, download them manually and place them in the kernel folder
In those folders, HelioSat will download and save the needed spacecraft data and corresponding kernels. If you want to use custom data not available online, place the datafile in .heliosat/data and set custom_data = True during fitting.