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NASA’s DART spacecraft successfully slammed into a distant asteroid at hypersonic speed on Monday in the world’s first test of a planetary defense system, designed to prevent a potential doomsday meteorite collision with Earth.

Humanity’s first attempt to alter the motion of an asteroid or any celestial body played out in a NASA webcast from the mission operations center outside Washington, DC, 10 months after DART was launched.

The livestream showed images taken by DART’s camera as the cube-shaped “impactor” vehicle, no bigger than a vending machine with two rectangular solar arrays, streaked into the asteroid Dimorphos, about the size of a football stadium, at 7:14 pm EDT (23:14 GMT) some 6.8 million miles (11 million km) from Earth.

The $330 million (roughly Rs. 2,683 crore) mission, some seven years in development, was devised to determine if a spacecraft is capable of changing the trajectory of an asteroid through sheer kinetic force, nudging it off course just enough to keep Earth out of harm’s way.

Whether the experiment succeeded beyond accomplishing its intended impact will not be known until further ground-based telescope observations of the asteroid next month. But NASA officials hailed the immediate outcome of Monday’s test, saying the spacecraft achieved its purpose.

“NASA works for the benefit of humanity, so for us it’s the ultimate fulfillment of our mission to do something like this – a technology demonstration that, who knows, some day could save our home,” NASA Deputy Administrator Pam Melroy, a retired astronaut, said minutes after the impact.

DART, launched by a SpaceX rocket in November 2021, made most of its voyage under the guidance of NASA’s flight directors, with control handed over to an autonomous on-board navigation system in the final hours of the journey.

Monday evening’s bullseye impact was monitored in near real time from the mission operations center at the Johns Hopkins University Applied Physics Laboratory in Laurel, Maryland.

Cheers erupted from the control room as second-by-second images of the target asteroid, captured by DART’s onboard camera, grew larger and ultimately filled the TV screen of NASA’s live webcast just before the signal was lost, confirming the spacecraft had crashed into Dimorphos.

DART’s celestial target was an oblong asteroid “moonlet” about 560 feet (170 meters) in diameter that orbits a parent asteroid five times larger called Didymos as part of a binary pair with the same name, the Greek word for twin.

Neither object presents any actual threat to Earth, and NASA scientists said their DART test could not create a new hazard by mistake.

Dimorphos and Didymos are both tiny compared with the cataclysmic Chicxulub asteroid that struck Earth some 66 million years ago, wiping out about three-quarters of the world’s plant and animal species including the dinosaurs.

Smaller asteroids are far more common and present a greater theoretical concern in the near term, making the Didymos pair suitable test subjects for their size, according to NASA scientists and planetary defense experts. A Dimorphos-sized asteroid, while not capable of posing a planet-wide threat, could level a major city with a direct hit.

Also, the two asteroids’ relative proximity to Earth and dual configuration make them ideal for the first proof-of-concept mission of DART, short for Double Asteroid Redirection Test.

Robotic suicide mission

The mission represented a rare instance in which a NASA spacecraft had to crash to succeed. DART flew directly into Dimorphos at 15,000 miles per hour (24,000 kph), creating the force scientists hope will be enough to shift its orbital track closer to the parent asteroid.

APL engineers said the spacecraft was presumably smashed to bits and left a small impact crater in the boulder-strewn surface of the asteroid.

The DART team said it expects to shorten the orbital path of Dimorphos by 10 minutes but would consider at least 73 seconds a success, proving the exercise as a viable technique to deflect an asteroid on a collision course with Earth – if one were ever discovered.

A nudge to an asteroid millions of miles away years in advance could be sufficient to safely reroute it.

Earlier calculations of the starting location and orbital period of Dimorphos were made during a six-day observation period in July and will be compared with post-impact measurements made in October to determine whether the asteroid budged and by how much.

Monday’s test also was observed by a camera mounted on a briefcase-sized mini-spacecraft released from DART days in advance, as well as by ground-based observatories and the Hubble and Webb space telescopes, but images from those were not immediately available.

DART is the latest of several NASA missions in recent years to explore and interact with asteroids, primordial rocky remnants from the solar system’s formation more than 4.5 billion years ago.

Last year, NASA launched a probe on a voyage to the Trojan asteroid clusters orbiting near Jupiter, while the grab-and-go spacecraft OSIRIS-REx is on its way back to Earth with a sample collected in October 2020 from the asteroid Bennu.

The Dimorphos moonlet is one of the smallest astronomical objects to receive a permanent name and is one of 27,500 known near-Earth asteroids of all sizes tracked by NASA. Although none are known to pose a foreseeable hazard to humankind, NASA estimates that many more asteroids remain undetected in the near-Earth vicinity.

© Thomson Reuters 2022


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Climate Satellite MethaneSAT Fails After Just One Year in Orbit

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Climate Satellite MethaneSAT Fails After Just One Year in Orbit

One of the world’s most advanced satellites for detecting methane and other gases that contribute to the warming of the planet has gone dark and stopped communicating with ground-based controllers just over a year after being launched into orbit. Created by the nonprofit Environmental Defense Fund (EDF), the satellite — estimated to cost as much as $88 million — hitched a ride into space on a SpaceX rocket in March 2024. It was charged with monitoring methane leaks from oil and gas operations, and then making the data available to policymakers and scientists through open access. But on June 20, contact with the satellite was lost, and attempts to recover it have failed. EDF officially reported on July 1 that MethaneSAT has lost power and appears unlikely to recover.

MethaneSAT Failure Marks Setback for Climate Transparency Despite Data Gains and Global Support

As per a statement released by EDF, MethaneSAT’s failure came despite multiple recovery attempts. The satellite was constructed to lift the veil off methane’s invisible, weighty impact on global warming. It is nowhere near as common as carbon dioxide, but over a timescale of, say, a century, it is 20 to 30 times more efficient at trapping heat in the atmosphere than carbon dioxide. That makes its emissions a prime target in the effort to minimize the risks of global warming. MethaneSAT was developed to independently corroborate industrial methane reports, especially those from fossil fuel extraction. The loss of the satellite is a remarkable setback for transparency in climate science and monitoring of emissions worldwide.

Yet mission operators are hopeful that data already collected will have far-reaching effects. EDF emphasized that insights from MethaneSAT’s year in orbit will continue to be processed and made public in the coming months. The mission included backing from 10 partners such as Harvard University, the New Zealand Space Agency, BAE Systems, Google, and the Bezos Earth Fund.

Officials called MethaneSAT a bold and needed move to hold our climate accountable. Although the mission was cut short, it signaled one of the largest joint efforts between science, advocacy, and technology to battle climate change. “To succeed in meeting the climate challenge, we need bold action and fearless innovation,” EDF mentioned, describing the satellite as “at the vanguard of science.”
MethaneSAT’s brief history highlights the difficulty — and importance — of deploying space-based instruments to try and combat climate change. As other missions get ready to blaze the same trail, the data and experience this little spacecraft provided will influence the future of Earth observation.

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New Interstellar Comet 3I/ATLAS Speeds Through Solar System

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New Interstellar Comet 3I/ATLAS Speeds Through Solar System

A newly confirmed interstellar comet is making a rare passage through our solar system — and skywatchers can catch it live online tonight. The object, now called 3I/ATLAS, is just the third interstellar visitor ever detected after the well-known ‘Oumuamua (2017) and 2I/Borisov (2019). The comet was so fresh when first detected on July 1 by the ATLAS telescope in Chile that it hadn’t even been given a name yet; the Minor Planet Center has it listed as “3I,” the “I” standing for interstellar. Tonight’s webcast will kick off at 6 p.m. EDT (2200 GMT) from the Virtual Telescope Project’s virtual observing facilities in Italy.

Interstellar Comet 3I/ATLAS Speeds Toward Sun at 68 km/s, Offers Rare Study Opportunity

As per a report by Space.com, 3I/ATLAS was detected as a faint object displaying subtle cometary features, including a marginal coma and a short tail. Currently located 4.5 astronomical units (AU) from the sun — about 670 million kilometers (416 million miles) — the comet is faint at magnitude 18.8, making it invisible to amateur telescopes. The interstellar object is traveling at an astonishing pace of 68 kilometers per second (152,000 mph) relative to the sun, but NASA officials say it poses no danger to Earth.

It was imaged by the Virtual Telescope Project on July 2, showing the comet as a point of light within the trailing background stars — a sure indication that it is indeed moving through space. 3I/ATLAS should brighten a little as it approaches the sun, particularly when it gets closest, or its perihelion, on Oct. 30, when it swings within 1.4 astronomical units of the sun or Mars’ orbit.

The close pass by this interstellar visitor is a rare chance for astronomers to study the materials and dynamics outside our solar system. 3I/ATLAS, which is racing along at a frenetic pace on an elliptical orbit, may also support research into how these objects change as they sit in different stellar environments.

After disappearing behind the sun in late fall, 3I/ATLAS is projected to return to observational reach in early December. Researchers anticipate further analysis then, expanding our understanding of these rare visitors that traverse the galaxy — and occasionally, pass through our celestial neighborhood.

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Quantum Breakthrough: CSIRO Uses 5-Qubit Model to Enhance Chip Design

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Quantum Breakthrough: CSIRO Uses 5-Qubit Model to Enhance Chip Design

Researchers at Australia’s CSIRO have achieved a world-first demonstration of quantum machine learning in semiconductor fabrication. The quantum-enhanced model outperformed conventional AI methods and could reshape how microchips are designed. The team focused on modeling a crucial—but hard to predict—property called “Ohmic contact” resistance, which measures how easily current flows where metal meets a semiconductor.

They analysed 159 experimental samples from advanced gallium nitride (GaN) transistors (known for high power/high-frequency performance). By combining a quantum processing layer with a final classical regression step, the model extracted subtle patterns that traditional approaches had missed.

Tackling a difficult design problem

According to the study, the CSIRO researchers first encoded many fabrication variables (like gas mixtures and annealing times) per device and used principal component analysis (PCA) to shrink 37 parameters down to the five most important ones. Professor Muhammad Usman – who led the study – explains they did this because “the quantum computers that we currently have very limited capabilities”.

Classical machine learning, by contrast, can struggle when data are scarce or relationships are nonlinear. By focusing on these key variables, the team made the problem manageable for today’s quantum hardware.

A quantum kernel approach

To model the data, the team built a custom Quantum Kernel-Aligned Regressor (QKAR) architecture. Each sample’s five key parameters were mapped into a five-qubit quantum state (using a Pauli-Z feature map), enabling a quantum kernel layer to capture complex correlations.

The output of this quantum layer was then fed into a standard learning algorithm that identified which manufacturing parameters mattered most. As Usman says, this combined quantum–classical model pinpoints which fabrication steps to tune for optimal device performance.

In tests, the QKAR model beat seven top classical algorithms on the same task. It required only five qubits, making it feasible on today’s quantum machines. CSIRO’s Dr. Zeheng Wang notes that the quantum method found patterns classical models might miss in high-dimensional, small-data problems.

To validate the approach, the team fabricated new GaN devices using the model’s guidance; these chips showed improved performance. This confirmed that the quantum-assisted design generalized beyond its training data.

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