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The universe is thought to be teeming with invisible entities called boson stars, formed from an exotic material that neither shines nor emits detectable radiation. These celestial objects might hold the key to the enigma of dark matter, which accounts for approximately a quarter of the cosmos’s mass-energy content. While theoretical models propose that dark matter comprises undiscovered particles, no direct evidence for their existence has yet emerged, leaving scientists exploring alternative explanations, including these unusual star-like formations.

The Role of Axions in Dark Matter Studies

As reported by space.com, according to studies on dark matter, axions—a type of hypothetical quantum particle—have emerged as a leading candidate. These particles were originally theorised to address discrepancies in the strong nuclear force’s mathematical symmetry. Axions are considered ultralight, with masses trillions of times smaller than the neutrino, the lightest known particle. Their wave-like nature can extend across galaxies, making them a plausible foundation for dark matter and forming what are now termed boson stars.

Unique Characteristics of Boson Stars

Bosons, such as axions, possess the unique ability to occupy the same quantum state in large numbers, unlike electrons or protons. This property enables them to collapse under gravitational forces into dense formations without emitting light. These formations, referred to as boson stars or dark stars, may vary in size from that of regular stars to massive galactic cores. Their existence could complicate efforts to detect axions directly since boson stars remain invisible and interact minimally with ordinary matter.

Potential for Detection and Implications

Despite the challenges, phenomena such as disruptions in stellar nuclear fusion or spontaneous energetic events, dubbed “bosenovas,” may offer opportunities to identify boson stars. Researchers remain uncertain whether axions and boson stars definitively constitute dark matter. However, their exploration continues to expand understanding of the universe’s unseen components, raising questions about the prevalence of these mysterious structures in the cosmos.

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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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