Package index • capivara

Core spectral segmentation

Exact and sparse-graph segmentation, component selection, and memory planning.

segment(): Cluster a 2D Representation of a Data Cube
segment_large(): Large-cube Capivara segmentation
choose_ncomp_by_snr(): Choose the Number of Clusters from a Target SNR Cut
estimate_segment_memory(): Estimate segmentation memory requirements

Support construction

Foreground support builders used before assigning region labels.

build_starlet_mask(): Build a Sagui-style starlet mask from a spectral cube
build_adaptive_support(): Build an adaptive multi-band/spatial support mask

Flux-preserving spectra and reconstruction

Regional spectra and reconstructed cubes for downstream analysis.

summarize_cluster_spectra(): Summarize Cluster Spectra with Optional Variance Propagation
reconstruct_cluster_cube(): Reconstruct a Model Cube from Cluster Representative Spectra
reconstruct_flux_preserving_cube(): Reconstruct a Flux-preserving Model Cube from Cluster Spectra

Segmentation plotting

Discrete region maps and regional spectral displays.

plot_cluster(): Plot a Cluster Map with Discrete Cluster Colors
plot_cluster_spectra(): Visualize Scaled Spectra and Median Profiles for Clustered IFU Data

Kinematics

Native line maps, kinematic segmentation, model discovery, and reusable panels.

segment_kinematics(): Segment an IFU cube using emission-line kinematics
run_kinematic_analysis(): Run a Capivara kinematic analysis
kinematic_models(): List the installed kinematic model modules
kinematic_panels(): Extract individual kinematic plot panels

Bisymmetric modelling

Explicit modelling for galaxies with independent evidence of a bar.

run_manga_bar_model(): Run the explicit bisymmetric-bar module for a MaNGA cube

Package

capivara capivara-package: capivara