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Japan’s ispace said its attempt to make the first private moon landing had failed after losing contact with its Hakuto-R Mission 1 (M1) lander when it unexpectedly accelerated and probably crashed on the lunar surface.

The startup said it was possible that as the lander approached the moon, its altitude measurement system had miscalculated the distance to the surface.

“It apparently went into a free-fall towards the surface as it was running out of fuel to fire up its thrusters,” Chief Technology Officer Ryo Ujiie told a news conference on Wednesday.

It was the second setback for commercial space development in a week after SpaceX‘s Starship rocket exploded spectacularly minutes after soaring off its launch pad.

A private firm has yet to succeed with a lunar landing. Only the United States, the former Soviet Union and China have soft-landed spacecraft on the moon, with attempts in recent years by India and a private Israeli company also ending in failure.

Ispace, which delivers payloads such as rovers to the moon and sells related data, had only just listed on the Tokyo Stock Exchange two weeks ago and a frenzy of excitement around its prospects had driven up its shares some seven-fold since then.

But disappointment led to a glut of sell orders on Wednesday. After being untraded all day, the stock finished down 20 percent in a forced closing price decided by the bourse that reflects the balance of buy and sell orders.

Japan’s top government spokesperson Hirokazu Matsuno said while it was sad that the mission did not succeed, the country wants ispace to “keep trying” as its efforts were significant to the development of a domestic space industry.

Japan, which has set itself a goal of sending Japanese astronauts to the moon by the late 2020s, has had some recent setbacks. The national space agency last month had to destroy its new medium-lift H3 rocket upon reaching space after its second-stage engine failed to ignite. Its solid-fuel Epsilon rocket also failed after launch in October.

Brakes on a high slope

Four months after launching from Cape Canaveral, Florida, on a SpaceX rocket, the M1 lander appeared set to autonomously touch down at about 1:40 am Japan time (1640 GMT Tuesday), with an animation based on live telemetry data showing it coming as close as 90 metres (295 feet) from the lunar surface.

By the expected touchdown time, mission control had lost contact with the lander and engineers appeared anxious over the live stream as they awaited signal confirmation of its fate which never came.

The lander completed eight out of 10 mission objectives in space that will provide valuable data for the next landing attempt in 2024, Chief Executive Takeshi Hakamada said.

Roughly an hour before planned touchdown, the 2.3 metre-tall M1 began its landing phase, gradually tightening its orbit around the moon from 100 km (62 miles) above the surface to roughly 25 km, travelling at nearly 6,000 km/hour (3,700 mph).

At such velocity, slowing the lander to the correct speed against the moon’s gravitational pull is like squeezing the brakes of a bicycle right at the edge of a ski-jumping slope, Ujiie has said.

The craft was aiming for a landing site at the edge of Mare Frigoris in the moon’s northern hemisphere where it would have deployed a two-wheeled, baseball-sized rover developed by the Japan Aerospace Exploration Agency, Tomy and Sony. It also planned to deploy a four-wheeled rover dubbed Rashid from the United Arab Emirates.

The lander was carrying an experimental solid-state battery made by Niterra among other devices to gauge their performance on the moon.

The mission was insured by Mitsui Sumitomo Insurance, an MS&AD Insurance Group unit, and ispace said it may receive some compensation.

© Thomson Reuters 2023
 


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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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The Hunt: Rajiv Gandhi Assassination Now Available For Streaming on SonyLIV

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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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