Astronomers Use 'Blind Stacking' to Uncover Invisible Space Junk Threatening Geosynchronous Orbit

• Researchers have developed a "blind stacking" algorithm to detect tiny, dangerous pieces of space debris in geostationary orbit (GEO) that traditional sensors miss.
• The technique allows for the detection of objects 5–10 cm in diameter, significantly improving Space Domain Awareness.
• The algorithm performs successfully on both large professional telescopes and affordable, commercial-grade hardware.

How Blind Stacking Works

• The software overlays multiple image frames from a sequence and tests thousands of potential paths a debris fragment might take.
• It shifts and stacks images along these paths, amplifying faint signals while canceling out background noise.
• The team used sophisticated mathematical functions like Gaussian and "Tepui" to achieve sub-arcsecond astrometric precision.

Research Findings

• Using data from the 2.54m Isaac Newton Telescope (INT), the team identified 25 new potential debris tracklets missed by single-frame analysis.
• Applying the algorithm to a 36cm commercial robotic astrograph (RASA) yielded 62 new tracklets, proving that smaller telescopes can contribute meaningfully when paired with advanced processing.

Future Implications

• The research team is conducting follow-up campaigns using the 1.35m SkyMapper Telescope in Australia and the 1m Bisei Space Guard Center in Japan.
• Future efforts will focus on using high-speed CMOS detectors to reduce dead time between images and increase high-cadence data collection.