Connect with us

Published

on

After India’s solar mission, Aditya L1 began its journey towards Lagrange point 1 following a key manoeuvre, it has started studying energetic particles in the solar wind from space and will continue to do so for the rest of its life, a senior astrophysicist said. The study of the solar wind, the continuous flow of charged particles from the sun which permeates the solar system, will be carried out with the help of a device named Supra Thermal & Energetic Particle Spectrometer (STEPS), a part of the Aditya Solar wind Particle Experiment (ASPEX) payload.

“STEPS is now working from space. However, it was not sitting idle earlier. It has started functioning from within the magnetic field of the Earth since September 10 when Aditya was 52,000 kilometres above our planet,” Dr Dibyendu Chakrabarty, professor of Space and Atmospheric Sciences at the Physical Research Laboratory (PRL) said.
STEPS was developed by the PRL with support from the Space Application Centre (SAC) in Ahmedabad.

“During the travel time of four months (till Aditya L1 reaches its destination), it will study energetic particles in the solar wind. The data will help maintain the health and performance of our space assets in a better way,” Dr Chakrabarty told PTI.

The key aim of STEPS is to study the environment of energetic particles from the spacecraft’s position on the L1 point till it will function, he said. “The data from STEPS in the long term will also help us understand how space weather changes,” the space scientist said.

STEPS comprises six sensors, each observing in different directions and measuring supra-thermal and energetic ions. The data collected during the Earth’s orbits helps scientists to analyse the behaviour of particles surrounding the planet, especially in the presence of its magnetic field.

Aditya-L1, launched by the Indian Space Research Organisation (ISRO) on September 2, will go up to the First Lagrangian point, about 1.5 million km from the Earth ISRO on September 18 said on X: “Off to Sun-Earth L1 point! The Trans-Lagrangean Point 1 Insertion (TL1I) manoeuvre is performed successfully. The spacecraft is now on a trajectory that will take it to the Sun-Earth L1 point.” Lagrangian points are where gravitational forces, acting between two objects, balance each other in such a way that the spacecraft can ‘hover’ for a longer period of time.

The L1 point is considered the most significant of the Lagrangian points, for solar observations, which were discovered by mathematician Joseph Louis Lagrange. 


Affiliate links may be automatically generated – see our ethics statement for details.

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