ai astrophysics

A ground-based image of a distant galaxy looks like a view through frosted glass: the atmosphere smears details, hiding the internal structure. Astronomers have long wanted to know where exactly star formation shuts off in galaxies, but ground-based telescopes could not resolve the subtle color gradients.

A telescope stares at a star for many nights in a row. Somewhere in the stream of light hides a tiny dip in brightness — an Earth-sized planet briefly blocking part of the star. Such a dip lasts a few hours and repeats once a year or less. Catching it is like hearing a single quiet click in a noisy hall.

Meteorologists have grown used to trusting neural networks: the GraphCast model predicts Earth's weather days ahead by drawing on global snapshots of the atmosphere. But this 'brain' can be transplanted to another planet — where the air is thin and the Sun warms differently.

Galaxy NGC 4254 lies 1.5 million light-years from the center of the Virgo cluster. It drags a long stream of cooling hydrogen — a sign that it's plowing headlong into the hot gas. Losing cold fuel quenches the birth of new stars.

Four faint streaks on an image — that's all an astronomer sees. Like a sculptor reconstructing the shape of invisible glass from four shadows.

Assembling the puzzle of the Universe, astronomers are used to every new detail fitting perfectly into the already completed picture. But sometimes there are pieces that seem cut from another jigsaw. Twenty thousand active galactic nuclei, and eleven percent of them the neural network confidently rejects as alien.

An artist makes a quick charcoal sketch, and the face in the portrait is already recognizable. Astrophysicists face a similar challenge: the spectrum of a star is its individual portrait, revealing temperature, composition, and gravity.

The Sun continuously scribbles magnetic fields across its surface. These patterns are not mere ripples but a handwriting in which nature has encoded warnings of flares. A flare is an explosion that releases the energy of billions of nuclear bombs in minutes, ejecting streams of plasma and radiation into space.

A living power system is like an organism: power lines are vessels, current is blood. Data, however, are nerve impulses that used to be lost. mAIEnergy connects these 'nerves' to a shared 'brain'. This data repository combines satellite images, electricity meter readings, articles, and weather reports.

An electron microscope is a giant pipe organ: instead of pipes (electromagnetic lenses, instead of air) a stream of accelerated electrons. It once merely painted mute frescoes of the atomic world, condemning scientists to grueling decipherment.

The gamma sky, captured by the Fermi telescope, is a grand symphony of thousands of sources. Here, the rhythmic pulsations of pulsars, the powerful chords of active galactic nuclei, but most of all — unidentified objects, whose part remains a mystery.

Decades of radio astronomy have listened to space, hoping to catch narrowband radio transmissions — the technogenic 'voice' of distant exoplanets. But our own technological evolution reveals a paradox: loud analog signals, like 1960s TV broadcasts, are just a brief squawk of a newborn civilization.

In 1960, the Tatel radio telescope spent weeks listening to emptiness around Tau Ceti and Epsilon Eridani. Project Ozma was searching for technosignatures — traces of another mind at work.

3I/ATLAS burst into the Solar System like an uninvited guest, a gift of fate for hunters of extraterrestrial intelligence. This comet-like wanderer from the depths of the Galaxy flew close enough to be heard in all its details — unlike distant exoplanets.

Almost a century after Фриц Цвикки suspected something was amiss in the motion of galaxies in the Coma cluster, and Вера Рубин measured stellar velocities in spiral arms, the nature of тёмной материи remains one of the most vexing mysteries.

Solar flares are powerful explosions on the Sun that can knock out satellites and blackout cities. Predicting them is complicated by the tangled magnetic fields in sunspots.

Perovskite crystals harvest sunlight almost as well as silicon, but cost pennies. Their trouble is an inborn fragility: from warmth and ordinary water in the air, they “get sick.” Inside, disorder builds up, and the shiny plate turns cloudy, losing its abilities within a couple of days.

The Universe's expansion is accelerating, and maybe gravity doesn't work the way we think. Physicists come up with alternative theories, but to test them, they need to calculate how ripples after the Big Bang grew into galaxies. Such calculations involve long equations with hundreds of terms, where it's easy to get lost.

A swarm of mirrors and antennas envelops a black hole like bees around a hive. But instead of honey, this structure collects energy enough to power a consciousness the size of a galaxy. These very 'Dyson minds' were the topic of a recent meeting at MIT. The idea traces back to [scientist:F. J.

Imagine a tiny coin hidden inside a perfect safe, but the walls are so thin that the coin sometimes slips right through, leaving a barely audible sound. Axions are like those coins — except instead of metal, they're particles, and instead of a safe, they're ordinary matter. They barely notice obstacles, making them incredibly hard to catch directly.

Astronomers occasionally spot interstellar objects — rocky chunks or comets from other star systems. Most look ordinary, but some puzzle us with their shape, speed, or shine. To stop guessing, scientists applied the Loeb scale: from 0 (plain rock) to 5 (technosignature — an artificial signal from space).

A laser strikes a piece of rock from another planet. The rock vaporizes, and the instrument catches the flying particles and sorts them by weight.

Toss a handful of glitter into a river, and some flakes will drift straight while others spin in tiny eddies. Galaxies in the universe do something similar: they don't just recede due to cosmic expansion: they also swirl in giant currents, like wood chips caught in invisible whirlpools.

If you photograph the same mountain with a film camera and a modern smartphone, you get different images: colors are brighter in one, details are blurrier in the other. The same goes for telescopes: each instrument sees the sky in its own way, adding its own distortions to the true light of galaxies, like a filter through which we look.

A doctor stares at a gray-white smudge on the screen. It's the face of an unborn child. One shadow in the right place, and you can plan surgery in time. But not everyone sees that shadow: cleft lip or palate is rare, and a young specialist might go years without ever spotting one.

The night sky in a telescope image looks like a photo taken through a fogged-up window: bright stars are visible, but everything faint drowns in a murky haze. That haze is noise — random interference from electronics, heat, and the atmosphere itself.

For six straight years, the HARPS-N telescope on La Palma island stared at the Sun as if it were a distant star — taking spectra, tracking brightness, and recording every quiver of spectral lines. All this was to understand how to distinguish a star's subtle sway from a genuine planetary signal. A star doesn't sit still: its surface boils like a pot of soup.

Light from a distant star, after passing through air and telescope lenses, loses its sharpness, like looking at a streetlamp through wet glass. Astronomers call this blur the telescope's "fingerprint": each instrument has its own, and you need to know it down to the smallest detail.

A programmer writes code, runs it, sees an error, and fixes it. Now this process can be handed over to the program itself. Machine learning can already improve algorithms, but it usually requires lots of data and ready-made examples.

Old Chinese chronicles are full of weather entries: "no rain in the third month," "the river overflowed its banks." But these are words, not numbers. Until now, turning them into precise precipitation data was nearly impossible. The new approach works like a translator from the language of chronicles to the language of climatology.

Thousands of universes were born in a computer, all to tell us about our own. Each one has its own galaxy clusters, arranged by the laws of gravity like peas in a jar shaken with varying force. From how the peas settle, you can tell what kind of hand shook the jar.

A star trembles like a bell after being struck. These tremors, tiny fluctuations in brightness and surface, can be caught by a telescope. From the frequencies of these 'stellar notes,' astronomers infer what's happening inside: how old the star is, how it's structured.

The James Webb Space Telescope gathered thousands of spectra from distant galaxies — colorful fingerprints of their light. To avoid drowning in this diversity, astronomers tasked a program with sorting through the finds.

Back in the 18th century, William Herschel was searching for life on Mars. Today, astronomers are targeting not planets but artifacts — for example, alien probes lurking in the Solar System. The problem is that spotting a tiny object next to the blinding Sun is nearly impossible.

For centuries, three branches of physics (cosmology, particle physics, and nuclear physics) worked like isolated shores.

The ASKAP telescope collects data on millions of radio sources in a single night. Automated algorithms confidently identify compact points but struggle with extended structures featuring jets, bridges, and bubbles.

In October 2017, the Pan-STARRS telescope in Hawaii spotted an object moving too fast to belong to the solar system. It was 1I/ʻOumuamua, the first interstellar visitor ever recorded by astronomers. Since then, two more have joined it: comet 2I/Borisov and object 3I/ATLAS.

Every few hours, narrow beams of radio waves leave the Mojave Desert, near Madrid, and near Canberra, heading into the sky. This is NASA's Deep Space Network: three antenna complexes that keep in touch with spacecraft across the solar system.