Consequences of Non-Gaussian Instrumental Noise in Perturbed Nulling Interferometers

TL;DR

This paper reveals that instrumental noise in nulling interferometers is non-Gaussian, affecting detection reliability, and provides a new model for accurate hypothesis testing and performance prediction in exoplanet observation missions.

Contribution

It derives the true non-Gaussian noise distribution for nulling interferometers, enabling more accurate detection performance estimates and refining mission planning tools.

Findings

Noise follows iterative convolutions of Bessel functions.

Classical Gaussian-based tests overestimate detection confidence.

New semi-analytical model improves performance predictions.

Abstract

With the astrophysics community working towards the first observations and characterizations of Earth-like exoplanets, interest in space-based nulling interferometry has been renewed. This technique promises unique scientific and technical advantages by enabling direct mid-infrared observations. However, concept studies of nulling interferometers often overlook the impact of systematic noise caused by instrument perturbations. Earlier research introduced analytical and numerical models to address instrumental noise and, building on these results, we reproduce key simulations and report that the noise in the differential output of nulling interferometers follows a non-Gaussian distribution. The presence of non-Gaussian noise challenges the validity of classical hypothesis tests in detection performance estimates, as their reliance on Gaussian assumptions leads to overconfidence in detection thresholds. For the first time, we derive the true noise distribution of the differential output of a dual Bracewell nulling interferometer, demonstrating that it follows iterative convolutions of Bessel functions. Understanding this noise distribution enables a refined formulation of hypothesis testing in nulling interferometry, leading to a semi-analytical prediction of detection performance. This computationally efficient instrument model, implemented in a publicly available codebase, is designed for integration into science yield predictions for nulling interferometry mission concepts. It will play a key role in refining key mission parameters for the Large Interferometer For Exoplanets (LIFE).