A python package that provides Neural Networks to estimate ages of stars.
Based on Boin et al. 2026.
If you use NEST for your research, please acknowledge this by citing
@article{ Boin26,
author = {{Boin, T.} and {Casamiquela, L.} and {Haywood, M.} and {Di Matteo, P.} and {Lebreton, Y.} and {Uddin, M.} and {Reese, D. R.}},
title = {Stellar age determination using deep neural networks - Isochrone ages for 1.3 million stars, based on BaSTI, MIST, PARSEC, Dartmouth, and SYCLIST evolutionary grids},
DOI= "10.1051/0004-6361/202558436",
url= "https://doi.org/10.1051/0004-6361/202558436",
journal = {A\&A},
year = 2026,
volume = 708,
pages = "A215",
}
Dependencies:
- numpy
- scikit (optional but recommended for speed)
- tqdm (optional)
- matplotlib (optional)
The documentation website guides you through the package usage.
A Web interface of the project is available to quickly test the Neural Networks:
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
astro_nest-1.2.0.tar.gz
(2.1 MB
view details)
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 astro_nest-1.2.0.tar.gz.
File metadata
- Download URL: astro_nest-1.2.0.tar.gz
- Upload date:
- Size: 2.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.13.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dcebd7c7facfb1eae092e161320cb5bbb982f8ce3459de7f8f882eb230b8fb49
|
|
| MD5 |
58a810f576ab59422d6a4f08e0415d9a
|
|
| BLAKE2b-256 |
d80c88a03839205a2f9fdca96e4d3fc4d6a3dbc0343cd3c018924ed22af0e3bf
|
File details
Details for the file astro_nest-1.2.0-py3-none-any.whl.
File metadata
- Download URL: astro_nest-1.2.0-py3-none-any.whl
- Upload date:
- Size: 2.1 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.13.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ba0034c9399ebb86eadc5d79599b9c8c0b1a96270c274d995aaf9b2b375d3f68
|
|
| MD5 |
237cc8b8a1883bc973e0cdf1fc1f63b4
|
|
| BLAKE2b-256 |
d09b86b4624d09791559f3efabc064ae4852e6e9b0b9ad47adb9ab3fd5a2f1a8
|
