Software

SED-based segmentation of multiband galaxy images.

Resolved galaxy structure in imaging surveys, including faint diffuse components.

Crop, PSF-match, and stack multiband images into photometric data cubes.

Consistent preparation of registered multiband observations.

Estimate projected galaxy-bar major axes from fitted ellipses.

Reproducible orientation measurements for resolved galactic bars.

Compute median radial Fourier power spectra of astronomical images.

Compact summaries of morphological structure across spatial scales.

Regularised non-negative matrix factorisation of spectra with optional GPU acceleration.

Interpretable low-rank spectral components under non-negativity and smoothness constraints.

Construct centre-conditioned radial profiles for connected structures with multiple centres.

Radial structure when a feature's assigned position depends on the adopted centre and source footprint.

Compute ordered path signatures of spectral-line profiles.

Line morphologies that share widths or moments but differ in ordered velocity–flux structure.

Segment IFU cubes by spectral similarity.

Resolved galaxy analysis without a prescribed morphological decomposition.

Fit galaxy surface-brightness profiles with GPU acceleration.

Scalable structural modelling of galaxy images.

Filter alert streams for hostless extragalactic transients.

Rapid identification of candidates whose missing hosts carry physical information.

Find cosmic-web ridges on spherical and conic geometries.

Curvilinear structure in fields whose geometry is not planar.

Construct inspectable graph orderings of Type II supernova spectra.

Continuous spectral diversity and outliers without a fixed class boundary.

Filter broker alerts for fast kilonova candidates.

Early selection of rapidly evolving multimessenger counterparts.

Accelerate principal-component calculations through QR decomposition.

Low-rank analysis of large matrices with optional GPU computation.

Construct unsupervised masks for galaxy images.

Separate galaxy structure from background without labelled masks.

Denoise and reconstruct data with singular-value decomposition and error propagation.

Recover low-rank signal while retaining uncertainty information.

Reproduce and extend ridge finding in DES weak-lensing mass maps.

Curvilinear structure in noisy projected mass fields.

Recommend spectroscopic follow-up for transient classification.

Sequential label acquisition under object-dependent observing costs and finite telescope time.

Apply active learning to supernova photometric classification.

Select informative spectra from an evolving transient candidate pool.

Provide R functions, data, and examples for binary and binomial models.

Reproducible generalized-linear-model analyses of discrete responses.

Reduce and cluster supernova spectra.

Unsupervised comparison of heterogeneous transient spectra.

Run population Monte Carlo approximate Bayesian computation for cosmology.

Cosmological inference from simulations when the likelihood cannot be evaluated.

Explore multidimensional astronomical catalogues interactively.

Inspect relationships and structure in high-dimensional catalogue data.

Estimate photometric redshifts with generalized linear models.

Positive-response regression for galaxy redshift estimation.

Estimate spatially regularised non-negative components in IFU cubes.

Low-rank spectral decomposition that respects spatial coherence.