noobase 0.0.2

Foundational pure-function utilities for astronomy analysis

noobase

Foundational pure-function utilities for astronomy analysis. Rust core with Python bindings via PyO3.

Status: pre-1.0, API unstable. Breaking changes expected between minor versions.

Install

pip install noobase

Requires Python 3.12 or newer. Wheels are published for linux-x86_64, macos-arm64, and windows-x86_64; a source distribution is also available.

Quick start

import numpy as np
import noobase

wavelength = np.linspace(1.0, 5.0, 200)
flux = np.exp(-((wavelength - 3.0) ** 2) / 0.5)
error = 0.01 * np.ones_like(flux)

spectrum = noobase.Spectrum(
    wavelength=wavelength,
    flux=flux,
    error=error,
    spacing="linear",
    kind="centers",
)

transmission_grid = np.linspace(2.5, 3.5, 50)
transmission_values = np.exp(-((transmission_grid - 3.0) ** 2) / 0.05)

band_flux, band_error, coverage = spectrum.synthetic_photometry(
    transmission_grid=transmission_grid,
    transmission_values=transmission_values,
    convention="photon_counting",
)

What's in the box

• Grid — 1-D monotonic axis (linear / log, centers / edges)
• Spectrum — wavelength + flux + optional error + optional mask, with rebinning and flux density convention conversion
• photometry.SyntheticOperator — cached synthetic photometry suited for MCMC hot loops
• image.reproject_exact — surface-brightness-conserving image reprojection via planar polygon clipping (rayon-parallel; WCS handling stays in the caller's astropy / gwcs)
• image.make_pixel_corners — turn a pair of pixel_to_world_values / world_to_pixel_values callables (astropy.wcs or gwcs) into the corner array consumed by reproject_exact, with optional coarse_step for expensive WCS chains

See the full project README on GitHub for the complete feature list, the workspace layout, and the development workflow.

License

MIT.