microlux: Microlensing using Jax
microlux is a Jax-based package that can calculate the binary lensing light curve and its derivatives both efficiently and accurately. We use the modified adaptive contour integratoin in VBBinaryLensing to maximize the performance.
With the access to the gradient, we can use more advanced algorithms for microlensing modeling, such as Hamiltonian Monte Carlo (HMC) in numpyro.
Installation
pip install microlux
or you can install this package from source for development.
git clone https://github.com/CoastEgo/microlux.git
cd microlux
pip install -e .
Documentation
The documentation is available at here. See this for more details.
Citation
microlux is open-source software licensed under the MIT license. If you use this package for your research, please cite our paper:
- A differentiable binary microlensing model using adaptive contour integration method: in arXiv and in AJ .
@article{ren2025microlux,
author = {{Ren}, Haibin and {Zhu}, Wei},
title = "{A Differentiable Binary Microlensing Model Using Adaptive Contour Integration Method}",
journal = {The Astronomical Journal},
year = 2025,
volume = {169},
number = {3},
eid = {170},
pages = {170},
doi = {10.3847/1538-3881/adb1b2},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025AJ....169..170R},
}
Metadata
Release files for microlux 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| microlux-0.3.0.tar.gz | 45.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| microlux-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 81.4 kB
Release files / microlux-0.3.0.tar.gz
| Download URL | microlux-0.3.0.tar.gz |
|---|---|
| Size | 45.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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Release files / microlux-0.3.0-py3-none-any.whl
| Download URL | microlux-0.3.0-py3-none-any.whl |
|---|---|
| Size | 36.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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