Connect with us

Published

on

A strange and ancient supernova remnant, located roughly 6,500 light-years away from Earth, has been puzzling scientists. The remnant, known as Pa 30, surrounds a zombie star cloaked in sulfur filaments stretching across three light-years. Skywatchers first documented the explosion in 1181, but its spiky filaments and structure have only recently been studied in detail. The unusual formation and preservation of these filaments over centuries remain unexplained, prompting astronomers to investigate their origins and dynamics.

New Observations of Pa 30 Nebula

According to a study published in Astrophysical Journal Letters, the 3-D structure and motion of the nebula’s filaments were mapped using observations from the W.M. Keck Observatory in Hawaii. The research, led by Tim Cunningham, an astronomer at the Harvard & Smithsonian Center for Astrophysics, revealed a unique three-layered structure. A central star is surrounded by a one-to-two light-year gap, followed by a spherical dust shell. Extending outward from this shell are the enigmatic filaments, creating the nebula’s spiky appearance.

As reported by Science News Explores, the explosion, believed to be a type 1a supernova, is typically associated with the complete destruction of a white dwarf star. In this instance, part of the star survived, raising further questions about the event’s nature.

Theories on Formation of Filaments

The precise mechanism behind the formation of the filaments has yet to be determined. It was suggested by scientists that a shock wave from the explosion might have interacted with the surrounding interstellar material, bouncing back and sculpting the spikes. The uniformity and persistence of these filaments over hundreds of years add to the mystery.

Future studies will focus on testing these theories and gathering more data to clarify the processes that led to the creation and stability of this unique nebula structure. Astronomers continue to examine Pa 30 in the hope of uncovering more details about its peculiar features.

Continue Reading

Science

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

Published

on

By

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…

Continue Reading

Science

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

Published

on

By

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…

Continue Reading

Science

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

Published

on

By

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…

Continue Reading

Trending