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Updated: Jan 9, 2026

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
Published on: July 30, 2020
Satellite megaconstellations will threaten space-based astronomy.
Alejandro S Borlaff1,2, Pamela M Marcum3, Steve B Howell3
1Space Science and Astrobiology Division, NASA Ames Research Center, Moffett Field, CA, USA. a.s.borlaff@nasa.gov.
Satellite constellations pose a significant threat to astronomical observations. Future launches could contaminate over a third of Hubble Space Telescope images and nearly all exposures for other space telescopes.
Area of Science:
- Astronomy and Astrophysics
- Space Science
- Optical Engineering
Background:
- Rapid expansion of satellite constellations raises concerns for astronomical observations.
- Satellite-generated light trails impact both ground-based and space-based telescopes.
- Current satellite numbers are a small fraction of planned future launches.
Purpose of the Study:
- To forecast satellite trail contamination levels for international low-Earth-orbit telescopes.
- To assess the impact of proposed telecommunication industry constellations on future observations.
- To propose mitigation strategies for satellite light pollution.
Main Methods:
- Modeling satellite trail contamination based on proposed constellation data.
- Forecasting impact on specific space telescopes including Hubble, SPHEREx, ARRAKIHS, and Xuntian.
- Calculating affected image percentages and trails per exposure.
Main Results:
- One-third of Hubble Space Telescope images may be contaminated if proposed constellations are completed.
- SPHEREx, ARRAKIHS, and Xuntian space telescopes could experience over 96% exposure contamination.
- Projected trails per exposure range significantly, with an average surface brightness of 19 ± 2 mag arcsec⁻².
Conclusions:
- Light contamination from satellite constellations presents a growing threat to space telescope operations.
- Urgent need for actions to minimize satellite constellation impact on astronomical research.
- Development of methods to predict, model, and correct satellite light pollution is crucial.
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