James Webb Space Telescope (JWST) observations have astronomers on the brink of solving another long-standing astronomical mystery: how do supermassive black holes feed?

Astronomers from the Université de Montréal led an international team in the new research, reported in a recent paper in The Astrophysical Journal, which presents the clearest images ever recorded of gaseous filaments connecting a galaxy’s atmosphere to the rotating disk that the supermassive black hole feeds on.

The team’s analysis of the data paves the way toward understanding how black holes consume matter, a mystery that has stumped astronomers for decades.

Strange Black Hole Feeding

“JWST observations are offering us thousands of new facts and measurements, and I can report it’s a lot to absorb,” said co-author Megan Donahue, MSU University Distinguished Professor of physics and astronomy. “We are all working together to solve the astrophysics questions about how these black holes get their fuel and how they interact with their host galaxy.”

Supermassive black holes anchor most galaxies in the universe, with masses ranging from millions to billions of times that of the Sun. In active galactic nuclei (AGN), these central black holes both consume enormous amounts of surrounding material and unleash powerful jets that shape the galaxies around them.

This activity presents a longstanding puzzle. Because an AGN’s jets heat the surrounding gas, they should effectively cut off the black hole’s fuel supply, leaving astronomers to wonder how it continues to accrete matter.

Testing a Hypothesis

To investigate, the researchers tested the leading explanation: that heated gas eventually cools, condenses into long filaments, and falls back toward the galactic center, replenishing the black hole’s supply of material.

They turned JWST toward one of the best natural laboratories for studying AGN: the galaxy NGC 4696, located at the heart of the Centaurus Cluster, roughly 145 million light-years from Earth.

Using JWST’s NIRSpec instrument, the team collected eight hours of observations, mapping the motion of gas deep within the galaxy—where the black hole’s gravitational influence dominates—at a resolution of about 30 light-years.

Their observations revealed an 800-light-year-wide disk of gas orbiting the supermassive black hole at roughly 600 kilometers per second. Connected to this rapidly rotating disk was a large infalling filament, funneling gas inward to feed the AGN.

Feeding Cycle of the Black Hole

The discovery fills in a crucial missing piece of the puzzle surrounding how supermassive black holes sustain themselves. The researchers propose that after the black hole injects energy into the surrounding gas, heating it, that material eventually cools and collapses into thin filaments stretching hundreds of thousands of light-years. Guided by magnetic fields, these filaments then fall toward the galaxy’s center, where they accumulate in the rotating accretion disk.

The team also ran a series of computer simulations based on this model and found that the predicted behavior closely matched what JWST observed. While additional observations will be needed to confirm the results, the findings provide strong support for the filament-feeding hypothesis.

“It’s been really exciting to participate in this project,” co-author Mark Voit, an MSU Physics and Astronomy Professor, said in a statement.

“Calculations done by our Michigan State group predict that magnetic fields should help feed the universe’s biggest black holes by channeling cool gas toward them, and it’s amazing to see that happening in these JWST images,” he added.

The paper, “JWST Reveals How Lack Holes Are Fed: Kiloparsec-Scale Multiphase Filaments Feed Sub-Kiloparsec Circumnuclear Disks,” appeared in The Astrophysical Journal Letters on July 14, 2026.

Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.

New images of the giant elliptical galaxy NGC 4696 from the NASA/ESA/CSA James Webb Space Telescope reveal gas filaments funneling material into a spinning disk around a supermassive black hole 800 light-years across.

The post Webb Catches Supermassive Black Hole Feeding from Cosmic Gas Streams appeared first on Sci.News: Breaking Science News.

Astronomers using ESA’s Euclid space telescope have discovered 31 ancient quasars from a time when the Universe was just 670 to 800 million years old. One of these objects, dubbed EUCL J172902.75+641018.1, sets the new record for the most distant quasar ever reported.

The post Euclid Discovers Earliest Quasars Ever Seen appeared first on Sci.News: Breaking Science News.

In an ambitious collaboration bridging continents and disciplines, researchers from the University of Vienna and the Lawrence Berkeley National Laboratory have revisited one of astrophysics’ most enigmatic phenomena—the Galactic Center Excess (GCE). For over a decade, the GCE, a subtle yet pervasive gamma-ray glow enveloping the Milky Way’s core, has stimulated intense debate and exploration within the scientific community. This new study, leveraging cutting-edge machine learning methodologies, offers fresh perspectives that reinvigorate the dark matter hypothesis as a viable explanation for the GCE, a prospect previously challenged by conventional analyses.

The Galactic Center Excess presents itself as a roughly spherical halo of gamma-ray emission, extending over thousands of light years around our galaxy’s nucleus. This faint glow eludes straightforward interpretation, primarily due to the complexities of the astronomical environment it inhabits. The region is not only densely packed with astrophysical sources but also exhibits extraordinarily bright and intricately structured gamma-ray emissions, complicating efforts to disentangle the origins of the GCE signal.

Before this study, two primary interpretations vied for dominance in explaining the GCE. One posited that the excess emanates from annihilations of dark matter particles, hypothetical constituents of the universe that interact weakly with ordinary matter and light. Dark matter, while composing approximately 85% of the universe’s matter content, remains elusive, and detecting its indirect signatures through gamma-ray emissions has been a tantalizing goal. The second hypothesis attributes the gamma-ray glow to a population of millisecond pulsars—rapidly rotating neutron stars known for their intense electromagnetic emissions. These pulsars, if sufficiently numerous and faint, could collectively mimic the characteristics of the observed GCE.

However, the astrophysical scenario faced a significant analytical hurdle. Earlier statistical approaches, while sophisticated, did not fully incorporate a vital dimension of the observed data: the energy spectrum of individual gamma-ray photons. Prior analyses predominantly focused on spatial distribution patterns, searching for point sources that could represent pulsars or diffuse emissions consistent with dark matter annihilation. Without the spectral dimension, conclusions remained inconclusive, often biased toward interpretations favoring bright unresolved sources.

The breakthrough in this new research is the implementation of an advanced machine-learning framework that simultaneously evaluates the spatial location and energy distribution of gamma-ray photons captured by telescopes. Training this model required generating over a million simulated gamma-ray skies, replicating a diverse range of scenarios that include both dark matter and pulsar contributions. By synthesizing these rich datasets, the model attains unprecedented sensitivity and discrimination power, uniquely capable of parsing subtle differences in the gamma-ray energy patterns correlated with different source populations.

The enriched analysis dramatically alters the interpretation landscape. The findings demonstrate that the putative point sources—if responsible for the GCE—would need to be extraordinarily faint, to the point where their individual characteristics blur into a diffuse glow nearly indistinguishable from what dark matter annihilation models predict. This faintness requirement for pulsars implies an astronomical population count exceeding 35,000 millisecond pulsars in the central Milky Way region. Such a number challenges existing astrophysical models and contrasts with previous studies that suggested only a few hundred to a few thousand such sources would suffice to explain the gamma-ray excess.

This new quantitative insight reopens the door for dark matter as a plausible explanation. While previous evidence tended to discount dark matter in favor of point sources, the subtlety revealed by including photon energy analysis counters these assertions. It underscores the present limitations in conclusively resolving the GCE’s origin, emphasizing that the dark matter scenario remains firmly on the table alongside pulsar hypotheses.

The difficulty in resolving the GCE nature also reflects broader challenges in high-energy astrophysics—particularly in crowded celestial environments like our galaxy’s core, where overlapping emissions from stars, supernova remnants, and other celestial objects confound the interpretation of indirect dark matter signals. Machine learning, as applied here, represents a transformative tool, capable of synthesizing immense, multidimensional datasets to disentangle complex astrophysical phenomena.

Scientists caution that these findings do not constitute direct evidence for dark matter annihilation; instead, they highlight the incomplete nature of current data interpretations. The inability to definitively favor pulsars over dark matter annihilation underscores the need for next-generation gamma-ray observatories and continued advances in modeling techniques that can incorporate even more nuanced data features, such as temporal variability and polarization signatures.

This research embodies the synergy between theoretical physics, computational innovation, and observational astrophysics, demonstrating how modern data-driven approaches can revitalize longstanding scientific debates. As gamma-ray detection technologies evolve and more data become available, the methodology pioneered here promises further refinement, potentially leading to breakthroughs in identifying signals from the elusive dark sector of the universe.

The Galactic Center Excess remains one of the most compelling mysteries in contemporary astrophysics, symbolizing the frontier where known astrophysical processes intersect with profound questions about the fundamental composition of the universe. Whether future research will tilt the scales decisively in favor of dark matter or pulsars, this study exemplifies the power of interdisciplinary collaboration and sophisticated computational methods to deepen our cosmic understanding.

Moreover, the implications extend beyond academic curiosity. Deciphering the GCE carries the promise of shedding light on the nature of dark matter, a cornerstone of cosmological structure formation and evolution. Success in this endeavor could unveil new physics beyond the Standard Model, revolutionizing our conception of the universe’s fabric and the forces that govern it at the most fundamental level.

As researchers continue to probe the galactic center’s gamma-ray glow, the intellectual journey itself enriches science, reflecting a profound human drive to illuminate the obscure workings of the cosmos. This study marks a significant stride in that journey, blending technology, theory, and observation to navigate a complex astrophysical puzzle whose solution may redefine our place in the universe.

Subject of Research: The Galactic Center Excess in gamma-ray observations and its implications for dark matter and millisecond pulsar populations.

Article Title: Energy Distribution of the Galactic Center Excess’s Sources

News Publication Date: 12-Jun-2026

Web References:
DOI link

Keywords

Galactic Center Excess, gamma rays, Milky Way, dark matter, millisecond pulsars, machine learning, astrophysics, high-energy astrophysics, neutron stars, indirect dark matter detection, gamma-ray astronomy, astrophysical sources

In 2021, scientists detected a cosmic ray entering Earth’s atmosphere with as much kinetic energy as a fast-moving tennis ball, all contained in a single subatomic particle. Named the “Amaterasu particle” after the Japanese sun goddess, the event left researchers questioning its origin because its arrival direction pointed to a region of space with no known source capable of producing such energy.

Researchers at Penn State now suggest that the puzzle may stem more from assumptions about the particle’s composition rather than its missing source.

A recent study in Physical Review Letters suggests that the Amaterasu particle, along with other extremely energetic cosmic rays, may actually be atomic nuclei heavier than iron. If correct, the idea could change how researchers search for the sources of cosmic rays.

A Particle of Unknown Origins

Ultrahigh-energy cosmic rays are some of the rarest and most violent phenomena in nature. These particles slam into Earth’s atmosphere with more than 100 exa-electron volts of energy, which is about 10 million times more than what the Large Hadron Collider can produce. The Amaterasu particle, found by the Telescope Array in Utah in May 2021 and reported in Science in 2023, had about 244 exa-electron volts of energy. This makes it one of the most energetic natural events ever recorded.

The mystery extended not only to the particle’s energy, but also to its origin. It came from the direction of the Local Void, which is an almost empty area of space next to the Milky Way, where there is no known source that could create such a powerful particle.

“The origins and acceleration mechanisms of ultrahigh-energy cosmic rays have been among the biggest mysteries in the field for more than 60 years, since the first example was reported,” said Kohta Murase, professor of physics and astronomy at Penn State’s Eberly College of Science and the study’s lead researcher.

The Heavy Nucleus Hypothesis

The Penn State team ran computational simulations to study how particles of different masses travel through intergalactic space. They found that atomic nuclei heavier than iron, known as ultraheavy nuclei, lose energy much more slowly than protons or lighter nuclei as they move through the radiation fields of deep space.

Most research on cosmic rays has assumed that the most extreme events involve protons, which are the simplest and lightest atomic nuclei. Ultraheavy nuclei lose energy much more slowly during their journey, allowing them to reach Earth carrying far more energy than lighter particles traveling similar distances. That makes them strong candidates for the most powerful cosmic ray events we’ve seen, including the Amaterasu particle.

“When we detect individual cosmic-ray particles such as the Amaterasu particle here on Earth, we can often use their energies, arrival directions and expected magnetic deflections to infer their possible cosmic sources,” Murase said.

New Theoretical Limits

The hypothesis that these particles are ultraheavy nuclei also changes the range of possible sources. If the particles are indeed heavier nuclei rather than protons, their production would require some of the most extreme environments in the universe. The researchers identify collapsars, which are massive stars collapsing directly into black holes, and binary neutron-star mergers as likely candidates. Both phenomena are also associated with gamma-ray bursts, which are among the most energetic explosions known to science.

The team’s calculations set new theoretical limits on how much ultraheavy nuclei may contribute to the overall population of ultrahigh-energy cosmic rays. Murase also noted that these sources could help explain a possible asymmetry in the ultrahigh-energy cosmic-ray spectrum between the northern and southern hemispheres.

“The most promising sites for producing and accelerating such ultraheavy nuclei are massive star deaths involving explosive collapse into black holes or strongly magnetized neutron stars, as well as binary neutron-star mergers known to be powerful gravitational-wave emitters,” Murase said.

Testing the Idea

The researchers stress that they are not saying all ultrahigh-energy cosmic rays are ultraheavy nuclei, but some of the most extreme ones might be. This could change what scientists look for in future studies. New observatories and upgrades, like AugerPrime in Argentina and the planned Global Cosmic Ray Observatory, could test these ideas. If ultraheavy nuclei are important, future observations should find evidence that protons alone cannot explain.

More than six decades after scientists first detected ultrahigh-energy cosmic rays, researchers may finally have a new clue about what the most extreme particles in the universe are made of.

Austin Burgess is a writer and researcher with a background in sales, marketing, and data analytics. He holds an MBA, a Bachelor of Science in Business Administration, and a data analytics certification. His work focuses on breaking scientific developments, with an emphasis on emerging biology, cognitive neuroscience, and archaeological discoveries.

A newly-released Hubble image shows Messier 88, a black hole-powered spiral galaxy that is gradually plunging toward the crowded heart of the Virgo Cluster.

The post Hubble Captures Active Spiral Galaxy: Messier 88 appeared first on Sci.News: Breaking Science News.