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A recent study utilising data from the James Webb Space Telescope (JWST) has confirmed the existence of an unusual cosmic effect termed the “Einstein zig-zag.” This rare phenomenon occurs when light from a distant quasar traverses two distinct regions of warped space-time, producing multiple mirrored images. Six duplicates of a luminous quasar, identified as J1721+8842, were found, providing a new perspective on gravitational lensing and potentially addressing critical challenges in cosmology.

Discovery of J1721+8842’s Unique Configuration

The quasar J1721+8842 was first identified in 2018 as four mirrored points of light billions of light-years from Earth. Initially, these were attributed to gravitational lensing, where light from a distant object bends due to the immense gravity of a lensing galaxy. However, subsequent observations in 2022 revealed two additional faint points of light, suggesting a complex structure involving multiple lensing objects.

Recent reanalysis using JWST data has shown that all six images originate from a single quasar, as per a new study published in arXiv. The light bent around two massive lensing galaxies forms a faint Einstein ring alongside the mirrored points. The unique path taken by the light, bending in opposite directions around the lenses, led researchers to coin the term “Einstein zig-zag” to describe this configuration.

Implications for Cosmology

Gravitationally lensed objects like J1721+8842 are invaluable for understanding the universe’s fundamental properties. The zig-zag effect allows for precise measurements of the Hubble constant, which determines the rate of cosmic expansion and the influence of dark energy. Thomas Collett, astrophysicist at the University of Portsmouth, noted that this discovery could clarify inconsistencies in current cosmological models, although extracting definitive data could take over a year.

This observation offers a critical opportunity to refine our understanding of the universe’s structure and expansion, potentially resolving ongoing challenges like the Hubble tension. While further analysis is needed, the Einstein zig-zag provides a promising avenue for breakthroughs in cosmology.

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AI Model Learns to Predict Human Gait for Smarter, Pre-Trained Exoskeleton Control

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Scientists at Georgia Tech have created an AI technique that pre-trains exoskeleton controllers using existing human motion datasets, removing the need for lengthy lab-based retraining. The system predicts joint behavior and assistance needs, enabling controllers that work as well as hand-tuned versions. This advance accelerates prototype development and could improve…

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Scientists Build One of the Most Detailed Digital Simulations of the Mouse Cortex Using Japan’s Fugaku Supercomputer

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Researchers from the Allen Institute and Japan’s University of Electro-Communications have built one of the most detailed mouse cortex simulations ever created. Using Japan’s Fugaku supercomputer, the team modeled around 10 million neurons and 26 billion synapses, recreating realistic structure and activity. The virtual cortex offers a new platform for studying br…

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UC San Diego Engineers Create Wearable Patch That Controls Robots Even in Chaotic Motion

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UC San Diego engineers have developed a soft, AI-enabled wearable patch that can interpret gestures with high accuracy even during vigorous or chaotic movement. The armband uses stretchable sensors, a custom deep-learning model, and on-chip processing to clean motion signals in real time. This breakthrough could enable intuitive robot control for rehabilitation, indus…

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