distmarg (Rust)
Distance-marginalized gravitational-wave likelihood, ln(L_D / Z_N), in the
(rho_mf, v*) basis. This is a pure-Rust implementation with no runtime
dependencies beyond libm and thiserror.
use distmarg::{Config, DistanceMarginalization};
let d: Vec<f64> = (0..4096).map(|i| 100.0 * 50f64.powf(i as f64 / 4095.0)).collect();
let ln_prior: Vec<f64> = d.iter().map(|x| 2.0 * x.ln()).collect();
let dm = DistanceMarginalization::new(&d, &ln_prior, false, Config::default())?;
let ln_l = dm.ln_likelihood_ratio(12.0, 10.0, 1000.0);
# Ok::<(), distmarg::Error>(())
Optional features:
| feature | what it adds |
|---|---|
parallel |
rayon-parallel batch evaluation |
cli |
the distmarg-eval file-based evaluation tool |
python |
Python bindings (module distmarg_rs), built with maturin |
abi3 |
stable-ABI Python bindings |
The bindings are published on PyPI as distmarg-rs and are used as the backend
of the Python package distmarg.
See the repository for the method and benchmarks.
1 maintainer
Metadata
1 maintainer
Release files for distmarg-rs 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| distmarg_rs-0.1.0.tar.gz | 27.9 kB | With provenance | Details |
Built distributions (wheels)
Total release size: 8.3 MB
Release files / distmarg_rs-0.1.0.tar.gz
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