Welcome to ngehtsim’s documentation!

ngehtsim is a set of Python tools for generating synthetic data appropriate for Very Long Baseline Interferometry (VLBI) facilities operating at (sub)millimeter wavelengths, such as the Event Horizon Telescope (EHT), the next-generation Event Horizon Telescope (ngEHT), and the Black Hole Explorer (BHEX). ngehtsim builds on synthetic data generation capabilities contained in the ehtim library, primarily by adding utilities for incorporating local weather effects, telescope properties, and fringe-finding proxies to the data generation procedure. Atmospheric state data for ngehtsim comes from the MERRA-2 database, processed through the am radiative transfer code to produce optical depth and brightness temperature information.

Contents:

• Installation Guide
• Introduction
• Tutorials
• API

Indices and tables

• Index

• Module Index

• Search Page

Referencing

The ngehtsim codebase has been described and demonstrated in Pesce et al. (2024). Those looking to use ngehtsim in their own work should please cite:

Pesce, D. W. et al. (2024) Atmospheric Limitations for High-frequency Ground-based Very Long Baseline Interferometry, ApJ, 968, 69, DOI: 10.3847/1538-4357/ad3961