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ISRO will perform the final manoeuvre on Saturday to inject Aditya-L1 spacecraft — the first space-based Indian observatory to study the Sun — into its final destination orbit, some 1.5 million kilometres from the Earth. According to ISRO officials, the spacecraft will be placed in a halo orbit around Lagrange point 1 (L1) of the Sun-Earth system, about 1.5 million km from the Earth. The L1 point is about one per cent of the total distance between the Earth and the Sun.

A satellite in a halo orbit around the L1 point has the major advantage of continuously viewing the Sun without any occultations/eclipses, they said, adding, this will provide a greater advantage in observing solar activities and its effect on space weather in real time.

“This manoeuvre (at around 4pm on Saturday) will bind the Aditya-L1 to a halo orbit around L1. If we don’t do this, there is a possibility that it will continue its journey, maybe towards the Sun,” an ISRO official told PTI on Friday.

The Polar Satellite Launch Vehicle (PSLV-C57) launched the Aditya-L1 spacecraft from the second launch pad of Satish Dhawan Space Centre (SDSC), Sriharikota, on September 2 last year.

After a flight duration of 63 minutes and 20 seconds, it was successfully injected into an elliptical orbit of 235×19500 km around the Earth.

The spacecraft underwent a series of manoeuvres thereafter and headed Sun-Earth Lagrange Point 1(L1), having escaped the Earth’s sphere of influence.

The spacecraft carries seven payloads to observe the photosphere, chromosphere and the outermost layers of the Sun (the corona) using electromagnetic and particle and magnetic field detectors.

“Using the special vantage point L1, four payloads directly view the Sun and the remaining three payloads carry out in-situ studies of particles and fields at the Lagrange point L1, thus providing important scientific studies of the propagatory effect of solar dynamics in the interplanetary medium,” according to the space agency.

The suits of Aditya L1 payloads are expected to provide the “most crucial information” to understand the problem of coronal heating, coronal mass ejection, pre-flare and flare activities and their characteristics, dynamics of space weather, and propagation of particles and fields, officials said.

The major science objectives of the Aditya-L1 mission are:

  • Study of the Solar upper atmospheric (chromosphere and corona) dynamics.
  • Study of chromosphere and coronal heating, physics of the partially ionized plasma, initiation of the coronal mass ejections, and flares.
  • Observe the in-situ particle and plasma environment, providing data for the study of particle dynamics from the Sun.
  • Physics of the solar corona and its heating mechanism.
  • Diagnostics of the coronal and coronal loops plasma: Temperature, velocity and density.
  • Development, dynamics and origin of coronal mass ejections (CMEs).
  • Identify the sequence of processes that occur at multiple layers (chromosphere, base and extended corona) which eventually leads to solar eruptive events.
  • Magnetic field topology and magnetic field measurements in the solar corona.
  • Drivers for space weather (origin, composition and dynamics of solar wind).
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Earth’s Spin to Speed Up Briefly, Causing Shorter Days This Summer

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July 14, 2025

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Earth’s Spin to Speed Up Briefly, Causing Shorter Days This Summer

Reports indicate that for three days this summer – July 9, July 22 and August 5 – Earth’s rotation will speed up slightly, trimming 1.3 to 1.5 milliseconds off each day. Imperceptible in everyday life, this shift underscores how the Moon’s position influences our planet’s spin. For reference, the shortest day on record was July 5, 2024, lasting 1.66 milliseconds less than 24 hours. Over billions of years Earth’s rotation has slowly lengthened, but recent data show speedups. Scientists say monitoring these tiny changes is important for understanding Earth’s dynamics and timekeeping.

Causes of Faster Spin

According to timeanddate.com, the shortest-ever recorded day was on July 5, 2024, which was 1.66 milliseconds shy of 24 hours. The acceleration is largely driven by the Moon’s gravity. On those dates (July 9, July 22 and August 5), the Moon will lie far north or south of Earth’s equator, weakening its tidal braking on our planet’s spin. As a result, Earth rotates a bit faster – like spinning a top held at its ends. Seasonal shifts in mass distribution also affect rotation. Richard Holme of the University of Liverpool notes that summer growth and melting snow in the Northern Hemisphere move mass outward from Earth’s axis, slowing the spin in the same way an ice skater slows by extending her arms.

Timekeeping and Technology

Shifts in day length are handled by precise timekeeping. The International Earth Rotation and Reference Systems Service (IERS) monitors Earth’s spin and adds leap seconds to keep Coordinated Universal Time (UTC) in sync with solar time. Normally a second is added when Earth’s rotation slows, but if the spin-up trend continues, scientists have floated a “negative leap second” – removing a second – to realign clocks.

Dr. Michael Wouters of Australia’s National Measurement Institute says this fix would be unprecedented, and notes that even if a few seconds accumulated over decades, it would likely go unnoticed. Dr. David Gozzard of the University of Western Australia points out that GPS satellites, communications networks and power grids rely on atomic clocks synced to nanoseconds, and that millisecond-scale changes in Earth’s rotation are easily absorbed by these systems.

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James Webb Telescope Spots Rare ‘Cosmic Owl’ Formed by Colliding Galaxies

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July 14, 2025

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James Webb Telescope Spots Rare ‘Cosmic Owl’ Formed by Colliding Galaxies

NASA’s James Webb Space Telescope has captured the “Cosmic Owl,” a startling owl-faced pair of colliding ring galaxies. This double-ring structure is exceptionally rare: ring galaxies account for just 0.01% of known galaxies, and two colliding rings is almost unheard of. The JWST image provides an exceptional natural laboratory for studying galaxy evolution. Models suggest the galactic clash began roughly 38 million years ago, meaning the owl-like shape could persist for a long time. A team led by Ph.D. student Mingyu Li of Tsinghua University in China announced the finding.

Spotting the ‘Cosmic Owl’

According to Mingyu Li, the first author of the new study , he and his team found the Owl by combing through public JWST data from the COSMOS field. The twin ring galaxies jumped out thanks to JWST’s infrared imaging. Each ring is about 26,000 light-years across (a quarter of the Milky Way), and each harbors a supermassive black hole at its core – one of the Owl’s eyes.

JWST images show the collision interface – the Owl’s beak – ablaze with activity. ALMA observations find a huge clump of molecular gas there – the raw fuel for new stars – being squeezed by the impact. Radio observations show a jet from one galaxy’s black hole slamming into the gas. Li notes the shockwave-plus-jet have ignited an intense starburst, turning the beak into a stellar nursery.

Rarity and Significance

Ring galaxies are extremely rare (≈0.01% of all galaxies), so finding two in collision is unheard of. Another team independently identified the same system and called it the “Infinity Galaxy”. Li says this event is an exceptional natural laboratory for studying galaxy evolution. In one view, researchers can see black holes feeding, gas compressing and starbursts happening together.

Li points out the collision’s shockwave and jet have triggered an intense starburst in the beak. He says this may be a crucial way to turn gas into stars rapidly, which could help explain how young galaxies built up their mass so quickly. Simulations will clarify the precise collision conditions needed to produce such a rare twin-ring “owl” shape.

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MIT Develops Low-Resource AI System to Control Soft Robots with Just One Image

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7 hours ago

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July 14, 2025

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MIT Develops Low-Resource AI System to Control Soft Robots with Just One Image

The use of conventional robots for industry and hazardous environments is easy for the purpose of control and modelling. However, these are too rigid to operate in confined places and uneven terrain. The soft bio-related roots are better adapted to the environment and manoeuvring in inaccessible places. Such flexible capabilities would need an array of on-board sensors and spacious models which are tailored to each robot design. Having a new and less resource-demanding approach, the researchers at MIT have developed a far less complex, deep learning control system that teaches the soft, bio-inspired robots to follow the command from a single image only.

Soft Robots Learn from a Single Image

As per Phys.org, this research has been published in the journal Nature, by training a deep neural network on two to three hours of multi-view images of various robots executing random commands, the scientists trained the network to reconstruct the range and shape of mobility from only one image. The previous machine learning control designs need customised and costly motion systems. Lack of a general-purpose control system limited the applications and made prototyping less practical.

The methods unshackle the robotics hardware design from the ability to model it manually. This has dictated precision manufacturing, extensive sensing capabilities, costly materials and reliance on conventional and rigid building blocks.

AI Cuts Costly Sensors and Complex Models

The single camera machine learning approach allows the high-precision control in tests on a variety of robotic systems, adding the 3D-printed pneumatic hand, 16-DOF Allegro hand, a soft auxetic wrist and a low-cost Poppy robot arm.

As this system depends on the vision alone, it might not be suitable for more nimble tasks which need contact sensing and tactile dynamics. The performance may also degrade in cases where visual cues are not enough.

Researchers suggest the addition of sensors and tactile materials that can enable the robots to perform different and complex tasks. There is also potential to automate the control of a wider range of robots, together with minimal or no embedded sensors.

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