The Würzburg University satellite SONATE-2 was launched into orbit a year ago and has achieved all its mission objectives. The satellite, developed by Julius-Maximilians-Universität Würzburg, successfully demonstrated the training of AI autonomously on board for anomaly detection on Earth's surface. The satellite's neural networks were trained to recognize objects not typically found in the Sahara, such as the Nile and adjacent green regions. In addition to the AI payload, the satellite also tested other technologies like the MultiView star sensor and amateur radio services. The satellite remains fully functional and is used for educational purposes.
Recent #Astronomy news in the semiconductor industry
➀ A new radio telescope, the Wetterstein Millimeter Telescope (WMT), is being built on Zugspitze mountain in Germany, led by the University of Würzburg. ➁ The WMT will be part of a global network of radio telescopes and contribute to astrophysical research, including studying black holes and relativistic jets. ➂ The project represents an interdisciplinary research platform and will support satellite technology applications, including testing AI technologies in space.
➀ The article discusses the book 'A City on Mars', which has won the Royal Society Trivedi Science Book Prize. ➁ The book explores the themes of whether we can settle in space, whether we should, and whether we have genuinely considered these possibilities. ➂ The article encourages readers to register or login to read the feature article in full.
➀ NASA's SOHO spacecraft captured the moment a headless Halloween comet vaporized as it flew too close to the Sun. The comet, 2024 S1 ATLAS, reached its perihelion, or closest approach to the Sun, on Sunday. ➁ The comet was discovered on September 27, 2024, and was initially thought to be an asteroid. ➂ It vaporized after passing within 1% of Earth's distance to the Sun, similar to the myth of Icarus.
➀ NASA has warned about a bus-sized asteroid, 2024 UQ1, approaching Earth at a distance of 148,000 miles; ➁ The asteroid is not classified as potentially hazardous; ➂ This is part of a series of near-Earth objects being monitored by NASA.
➀ Fraunhofer IPMS offers photonic systems with spatial light modulators for precise control and high image quality; ➁ The systems enable new applications in various industries and sectors; ➂ The institute develops custom spatial light modulators with millions of micro-mirrors on a semiconductor chip, controlling their movement with an ASIC.
➀ Open Cosmos will design and build the platform for PhotSat, a satellite dedicated to tracking the brightest stars and astrophysical objects. ➁ The satellite, set to launch by the end of 2025, will orbit Earth at a minimum altitude of 500 km. ➂ The mission is intended to support international space programs, including exoplanet searches and observations of celestial phenomena.
➀ October's full moon will be a 'Supermoon' or Hunter's Moon, the third of four consecutive supermoons this year; ➁ The Hunter's Moon is named for the time when leaves fall and deer are fattened for the hunt, making it easier to spot animals under the full moon's glow; ➂ The moon will be at perigee, the closest point to Earth, creating a supermoon; ➃ The full moon will be in Aries, bringing momentum, enthusiasm, and passion.
➀ Researchers from the Leibniz Institute for Astrophysics Potsdam (AIP) and the Institute of Cosmos Sciences at the University of Barcelona (ICCUB) have used a novel machine learning model to process observation data from 217 million stars of the Gaia mission efficiently. The results are comparable to conventional methods for determining stellar parameters. The new approach opens up exciting possibilities for mapping properties like interstellar extinction and metallicity across the Milky Way, contributing to understanding the stellar populations and the structure of our galaxy. ➁ The third data release of the Gaia satellite by the European Space Agency ESA provided access to improved measurements for 1.8 billion stars, a vast amount of data for studying the Milky Way. Efficient analysis of such a large dataset, however, presents a challenge. The study published now investigates the use of machine learning to determine important stellar properties based on Gaia's spectrophotometric data. The model was trained on high-quality data from 8 million stars and achieved reliable predictions with low uncertainties. ➂ The machine learning technique, 'Extreme Gradient-Boosted Trees,' enables the determination of precise stellar properties like temperature, chemical composition, and interstellar dust extinction with unprecedented efficiency. The developed machine learning model, SHBoost, completes its tasks, including model training and prediction, within four hours on a single graphics processor - a process that previously required two weeks and 3000 high-performance processors.
➀ Unistellar's vision technology for its smart telescope enhances the detection of galaxies, nebulae, and star clusters with vivid signal processing. ➁ At IFA Berlin, the technology decoded the colors of 300,000 stars in the Hercules cluster and revealed the chemical composition of gas clouds in the Trifid Nebula in less than two minutes. ➂ The technology is based on the analysis of thousands of images from Unistellar's user community and offers unparalleled vibrancy for a level of clarity comparable to experienced astrophotographers.
➀ A large-scale international collaboration has built the JUNO detector, aiming to study neutrino behavior; ➁ The detector uses Spectrum Instrumentation’s M4i.2212 digitizer cards for precision experiments; ➂ The technology could revolutionize our understanding of particle physics and neutrino behavior.
➀ A UK-based astrophotographer captured a stunning composite image of the Perseid meteor shower over Stonehenge. ➁ The image combines 43 individual exposures of shooting stars with a deep image of the Milky Way. ➂ The photographer's image was featured as NASA's astronomy picture of the day on Aug. 12.
➀ Canadian researchers are developing miniaturized optical chips to process starlight, aiming to democratize space-based astronomy. ➁ Photonic Integrated Circuits (PICs), which use light for information processing, are being adapted for astronomical use. ➂ CubeSats, low-cost and small satellites, are utilized to deploy these compact instruments, significantly reducing mission costs compared to traditional space telescopes.
➀ Researchers at the National Research Council of Canada are developing a method to process starlight on miniaturized optical chips to lower the cost of space-based astronomy. ➁ The Photonic Integrated Circuit (PIC) technology, which uses light instead of electricity, is being explored for astronomical applications. ➂ CubeSats, small and standardized satellites, are being used to deploy these compact instruments economically, with mission costs significantly lower than traditional space telescopes.