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Welcome to GOLIAT

GOLIAT is an automated Python framework for near-field and far-field dosimetric assessments using the Sim4Life simulation platform. It streamlines EMF exposure simulations for research and compliance.

  • Quick Start

    Get running in minutes with installation and your first simulation.

    Get Started

  • User Guide

    Understand workflows for near-field and far-field studies.

    Read Guide

  • Tutorials

    Hands-on examples from basic runs to advanced batching.

    View Tutorials

  • Configuration

    Customize simulations with JSON configs.

    Configure

  • API Reference

    Detailed docs for classes and functions.

    API Docs

  • Technical Guide

    Overview of the system design.

    Technical Guide

Overview

GOLIAT automates dosimetric assessments for the GOLIAT project, calculating SAR in digital human phantoms from device or environmental EMF exposure. Key features:

  • Modular scene building (phantoms, antennas, plane waves).
  • Local or cloud execution (iSolve/oSPARC).
  • Results extraction and analysis (SAR metrics, plots).
  • GUI for progress tracking.
  • Automatic disk space management for serial workflows.

Start with the Quick Start to run your first simulation.

Why GOLIAT?

  • Efficiency: Handles setup, runs, and analysis in one tool.
  • Reproducible: Config-driven for consistent results.
  • Scalable: Local parallel or cloud batching for large studies.
  • Accessible: Plain-language docs for newcomers.

For issues, see Troubleshooting. Contribute via Developer Guide.