python for nlfff
Project description
NLFFF 3D Dataset
Based on the vector magnetic field data observed by Helioseismic and Magnetic Imager(HMI) on the Solar Dynamics Observatory (SDO), we have built a 3D solar active region magnetic field dataset using the Nonlinear Force-Free Coronal Magnetic Field (NLFFF)Extrapolations.
The current total is over 200 TB, 73,000 3D magnetograms spanning the years 2010 to 2019, with a temporal resolution of 96 minutes and a spatial resolution consistent with the original sharp cea magnetograms.
Toolkit
Install
pip install pynlfff
# or
pip install git+https://github.com/deepsolar/pynlfff.git
Usage
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 Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pynlfff-0.3.3.5.tar.gz.
File metadata
- Download URL: pynlfff-0.3.3.5.tar.gz
- Upload date:
- Size: 38.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
18c9228c0f987bdeda019df244d3cc7989ce2ab49844b97b51d843a1d63a0ac7
|
|
| MD5 |
87ba5e45e57b14b6bed1cae7256bde9d
|
|
| BLAKE2b-256 |
4efe714bc7de1c3cf19e05bf87c5a85ef79bec2d5c4fb9ffcfab6a3a17d7a621
|
File details
Details for the file pynlfff-0.3.3.5-py3-none-any.whl.
File metadata
- Download URL: pynlfff-0.3.3.5-py3-none-any.whl
- Upload date:
- Size: 44.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
53a33bf00845286f5d177c374756edda3015d41fee359d784a1e4166867f3e30
|
|
| MD5 |
1def3f1e8e34e0603e776c748c1d4bf5
|
|
| BLAKE2b-256 |
4b1321244d9243980fe2ab7ebb80187449a4798d7956e339bf8e179295f09a6e
|