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jax-bandflux

Compute JAX-accelerated bandflux for SALT3 and TimeSeriesSource supernova models.

17|4|Updated Jan 6, 2026
Search Tags:#jax#inference#bandflux#supernova#lightcurve#salt3
One-click install
npx skills add https://github.com/fundamental-physics/marketplace --skill jax-bandflux
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jax-bandflux
Source: https://github.com/fundamental-physics/marketplace/tree/main/plugins/astro-ph.CO/skills/jax-bandflux
Command: npx skills add https://github.com/fundamental-physics/marketplace --skill jax-bandflux

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jax, numpy, and includes scripts (resource) components.

What problem does it solve?

JAX-bandflux provides fast, differentiable calculations of supernova bandflux for light-curve modeling, enabling rapid likelihood evaluations and model exploration.

Core Features & Use Cases

  • JAX-accelerated bandflux calculations for SALT3Source and TimeSeriesSource.
  • Optimized mode with precomputed bridges for rapid likelihoods in MCMC or nested sampling.
  • Quick-start guidance includes installation, synthetic data generation, and likelihood templates.

Quick Start

Install the package and run the included SALT3 likelihood example to fit parameters with synthetic data.

Frequently Asked Questions about jax-bandflux

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I accelerate supernova light-curve inference for SALT3 models?▼

You accelerate supernova light-curve inference by using JAX-powered bandflux calculations for SALT3Source models, which enables rapid and differentiable likelihood evaluations for MCMC or nested sampling.

What is the best way to fit supernova light-curve parameters with synthetic data?▼

The best way to fit supernova light-curve parameters is to generate synthetic data and apply captured likelihood templates with JAX-accelerated bandflux calculations, integrating seamlessly with standard nested sampling tools.

Does JAX bandflux modeling support TimeSeriesSource models for supernovae?▼

JAX bandflux modeling supports TimeSeriesSource models alongside SALT3Source models, providing fast and differentiable supernova bandflux calculations for comprehensive light-curve modeling and exploration.

Can I use nested sampling for supernova light-curve analysis with JAX?▼

You can use nested sampling for supernova light-curve analysis by leveraging the optimized mode with precomputed bridges and band-specific indices, which ensures deterministic and reproducible likelihood evaluations.

Do I need precomputed bridges for deterministic supernova bandflux evaluations?▼

Precomputed bridges are required for deterministic supernova bandflux evaluations, ensuring that likelihood evaluations remain fully reproducible during rapid model exploration and nested sampling.

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