Original concept · MSc thesis · First-author AAS/AIAA paper

MINI-X

I conceived and proposed MINI-X, a five-spacecraft mid-infrared nulling-interferometer precursor to LIFE, and I lead its end-to-end technical development.

Formation flyingGNCBasiliskSun–Earth L2
Concept rendering of the MINI-X interferometer at Sun–Earth L2
MINI-X operates as a distributed observatory near Sun–Earth L2.
144simulated cases
22.68 mmPD position error
1.65 mmLQI position error
14×error reduction

Project overview

An idea I brought forward and now lead.

MINI-X (Miniature Infrared Nulling Interferometry Experiment) began with a concept I developed and proposed for my MSc: use a smaller formation-flying interferometer to retire some of the dynamics, control, and science-performance risks that matter to LIFE.

After defining the initial concept, I approached Dr. Sarah Rugheimer for her expertise in exoplanet science and LIFE, and Dr. Michael Bazzocchi for his expertise in spacecraft control. They agreed to supervise the project, which now places me in both the Exoclimateers and ASTRO Lab.

I lead the concept, architecture, simulation, controller development, trade studies, science-performance interfaces, and publication work. My supervisors provide the exoplanet-science and controls expertise that guides the research. MINI-X is a five-spacecraft interferometer, and my first-author 2026 paper documents its 144-case formation-control study.

My contribution

My work on MINI-X.

01

Concept and proposal

Conceived MINI-X, developed the initial research direction, and sought the two supervisors whose expertise the project required.

02

Independent technical development

Built the Basilisk simulation, implemented the formation-control approaches, and now connect GNC residuals to optical path difference, tip/tilt, null depth, SNR, and detection yield.

03

Analysis and publication

Designed and analyzed the 144-case study and reported it in my first-author AAS/AIAA paper; the project is now expanding into optics-aware control and robotic hardware-in-the-loop validation.

Principal findings

LQI controller performance and beam-combiner placement.

22.68 → 1.65 mm

95th-percentile position error

Moving from the PD baseline to the LQI controller reduced the position-error metric by roughly fourteenfold.

3.41×

Relative propellant use

Out-of-plane beam-combiner placement incurred 3.41 times the propellant use of the in-plane alternative in the evaluated architecture.

144 cases

Architecture coverage

A structured matrix separated controller performance from formation rotation and beam-combiner placement effects.

Interactive result explorer

Published trade-study results.

Select an option to see the published headline metric. Bars are normalized within each comparison; they do not compare millimetres with propellant.

Controller precision

22.68 mm95th-percentile position error

PD establishes the conventional control baseline.

Combiner geometry

1.00×relative propellant use

In-plane placement is the normalized propellant baseline.

PD controller selected: 22.68 millimetres. In-plane geometry selected: 1.00 times relative propellant.

Method

Simulation setup.

01

Represent the environment

Model the observatory near Sun–Earth L2 with the dynamics needed to expose relative-motion and control demands.

02

Model the spacecraft

Use six-degree-of-freedom rigid-body dynamics with actuator behavior and state-estimation effects.

03

Compare control strategies

Evaluate a conventional PD baseline against an LQI design derived for the CR3BP-relative dynamics.

04

Sweep operations and geometry

Vary rotation behavior and beam-combiner placement across the full case matrix.

05

Calculate the results

Measure formation-position error and propellant consumption for each case.

Research record

Paper, talk, and presentation material.

Weatherbee, A., Rugheimer, S., & Bazzocchi, M. C. F. “Sun–Earth L2 Point Nulling Interferometry Formation Flying Performance Analysis.” AAS/AIAA Astrodynamics Specialist Conference, Whistler, BC, 2026. Paper AAS 26-967.

Study scope

Simulation results, not flight-qualified performance.

The reported values are architecture-study metrics from the simulated cases. The paper documents the model, configuration assumptions, and primary results.

Related work

LIFE science case.

Explore LIFE