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FURAX-CS
FURAX-CS

User Guide

  • Quick Start (Python API)
  • CLI Reference
  • Minimization Solvers

Analysis

  • r_analysis
    • snap — Compute & Save Statistics
    • bin — Post-Clustering Parameter Binning
    • plot — Visualize Results
    • validate — NLL Perturbation Analysis
    • estimate — Standalone \(r\) Estimation

Tutorials

  • FGBuster vs FURAX: Framework Comparison for CMB Component Separation
  • Framework Validation: Comparing FURAX and FGBuster
  • Advanced Optimization with JAX: Using Optax
  • Adaptive Component Separation with K-means Clustering
  • Multi-Resolution Component Separation with HEALPix ud_grade
  • Visualize Clusters
  • Complete Workflow: Scripts and R-statistic Analysis
  • Optimizer Benchmark

API Reference

  • API Reference
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Index

B | G | K | M

B

  • bin_parameter_map() (in module furax_cs.binning)

G

  • generate_noise_operator() (in module furax_cs.noise)
  • get_solver() (in module cadre.solvers)

K

  • kmeans_clusters() (in module furax_cs.kmeans_clusters)

M

  • minimize() (in module cadre.minimize)
  • multires_clusters() (in module furax_cs.multires_clusters)
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