astroemu — Next Generation Emulators for Cosmology and Astrophysics
Under active development — interfaces may change between versions.
astroemu is a generalised framework for emulating spectral signals in
cosmology and astrophysics, inspired by the
globalemu package. Neural network
emulators are implemented in JAX, with an optax-based training loop and
PyTorch-style dataloaders.
Installation
pip install astroemu
How it works
The core idea (shared with globalemu) is to input independent variables
alongside physical model parameters, predicting a single spectral value per
call. Full spectra are recovered via a vectorised call over all $x$ points.
Given a signal $y = f(x, \theta)$ with $N$ parameter samples and $m$ independent variable points, the training data is tiled so that parameters and independent variables are concatenated as inputs:
| Input | Output |
|---|---|
| $[\theta_0,\ x_0]$ | $y_0$ |
| $[\theta_0,\ x_1]$ | $y_1$ |
| $[\theta_0,\ \ldots]$ | $\ldots$ |
| $[\theta_0,\ x_m]$ | $y_m$ |
| $[\ldots,\ \ldots]$ | $\ldots$ |
| $[\theta_N,\ x_m]$ | $y_m$ |
For more details see the globalemu
paper. A paper demonstrating
applications of astroemu to a broad range of astrophysical signals is in
preparation.
Documentation
git clone git@github.com:htjb/astroemu.git
pip install ".[docs]"
mkdocs serve
or browse the hosted docs at astroemu.readthedocs.io.
Contributions
Contributions are welcome! Please open an issue to discuss and read the contribution guidelines before submitting a pull request.
1 maintainer
Metadata
1 maintainer
Release files for astroemu 0.4.0
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| astroemu-0.4.0-py3-none-any.whl | Python 3 | none | any | Details for astroemu-0.4.0-py3-none-any.whl |
Total release size: 34.6 kB
Release files / astroemu-0.4.0.tar.gz
| Download URL | astroemu-0.4.0.tar.gz |
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| Tags | Python 3 |
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