Axiom Space private astronaut missions support breakthroughs in space, bringing benefits to every human, everywhere.
The ANITA-2 project will sample air from the atmosphere on the ISS and automatically analyze trace contaminants. The system can recognize and quantify 33 trace gases via infrared light and identify unknown substances for additional analyzes on the ground. This project is part of ESA's ongoing technology development efforts for safe spaceflight in low-Earth orbit and beyond.
AWS Snowcone Cloud Edge Compute Demonstration (AWS Snowcone Ax-1) during the private astronaut mission (PAM) Axiom-1 (Ax-1) demonstrates technology to screen private astronaut images and identify those that may contain sensitive information not for public release. The technology includes reduction of large-scale data and processing of data near the source, known as edge computing, capabilities integral to future space exploration.
This project aims to study the cognitive process of associative learning in space, and investigate how spaceflight affects the processing of simple and complex visual stimuli, comparing it to data collected pre- and post-flight. The research could inform future long-duration mission planning and add to the broader understanding of learning and cognitive processing.
Aging and Heart Health on the Axiom-1 (Ax-1) private astronaut mission (PAM) analyzes human cells for genetic markers of cellular aging and explores how cardiac-like cells adapt to microgravity. A better understanding of the mechanisms of cellular aging and cardiac adaptation could support crew health and success on future missions.