Geko Documentation

Geko is a Python package for analyzing grism spectroscopy and morphology data from JWST observations. The package uses JAX for accelerated computation and Numpyro for Bayesian inference to model galaxy kinematics and morphology.

Key Features

• JAX-accelerated grism modeling: Fast forward modeling of 2D dispersed spectra

• Bayesian inference: MCMC fitting using Numpyro’s NUTS sampler

• Morphology integration: Incorporates Sérsic profile fitting from PySersic

• Flexible configuration: YAML-based parameter and prior specification

• Comprehensive visualization: Diagnostic plots and corner plots for fit results

User Guide

• Installation
  • Requirements
  • Installation Methods
  • Verifying Installation
  • Running Tests
  • Optional Dependencies
• Usage Guide
  • Quick Start
  • Required Data Structure
  • Field Options
  • Configuration System
  • Understanding Results
  • Output Files
  • MCMC Parameters
  • GPU Acceleration

Demo & Tutorials

• Geko Fitting Demo: Simplified Usage
  • Overview
  • Required Data Structure
  • Field Options
  • Running the Fit
  • Understanding the Output
  • Key Output Parameters
  • Advanced: Using Custom Configuration

API Reference

• Main Fitting Interface
  • run_geko_fit()
  • Fit_Numpyro
• Grism Modeling
  • Grism
• Preprocessing
  • run_full_preprocessing()
  • prep_grism()
• Kinematic Models
  • KinModels
  • Disk
• Configuration
• Plotting
  • plot_disk_summary()
• Utility Functions
  • oversample()
  • resample()
  • scale_distribution()
  • find_best_sample()
  • compute_gal_props()
  • load_psf()
  • compute_inclination()
  • compute_axis_ratio()
  • add_v_re()
  • sersic_profile()
  • compute_adaptive_sersic_profile()
  • flux_to_Ie()
  • Ie_to_flux()
  • rotate_coords()
  • downsample_error()
  • downsample_psf_centered()

Indices and tables

• Index

• Module Index

• Search Page