Newswise — Scientists are getting better at modeling the complex tangle of physics properties at play in one of the most powerful events in the known universe: the merger of two neutron stars.

Neutron stars are the fast-spinning, ultradense husks of larger stars that exploded as supernovae. They measure about 12 miles across, and a single teaspoon of neutron star matter weighs as much as 1,125 Golden Gate bridges, or 2,735 Empire State buildings.

On Aug. 17, 2017, scientists observed a signature of gravitational waves – ripples in the fabric of space-time – and also an associated explosive burst, known as a kilonova, that were best explained by the merger of two neutron stars. And again on April 25, 2019, another likely neutron-star-merger event, based solely on a gravitational wave measurement.

While these events can help to compare and validate the physics models that researchers develop to understand what’s at work in these mergers, researchers must still essentially start from scratch to build the right physics into these models.

In a study published in the Monthly Notices of the Royal Astronomical Society journal, a team led by scientists at Northwestern University simulated the formation of a disc of matter, a giant burst of ejected matter,  and the startup of energetic jets around the remaining object – either a larger neutron star or a black hole – in the aftermath of this merger.

The team included researchers at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab), UC Berkeley, the University of Alberta, and the University of New Hampshire.

To make the model more realistic than in previous efforts, the team built three separate simulations that tested different geometry for the powerful magnetic fields encircling the merger..

“We’re starting from a set of physical principles, carrying out a calculation that nobody has done at this level before, and then asking, ‘Are we reasonably close to observations or are we missing something important?’” said Rodrigo Fernández, a co-author of the latest study and a researcher at the University of Alberta.

The 3D simulations they carried out, which included computing time at Berkeley Lab’s National Energy Research Scientific Computing Center (NERSC), involved more than 6 million hours of CPU (computer processing unit) time.

The simulations account for GRMHD (general relativistic magnetohydrodynamics) effects, which include properties associated with magnetic fields and fluid-like matter, as well as the properties of matter and energy traveling at nearly the speed of light. Researchers noted that the simulations could also prove useful in modeling the merger of a black hole with a neutron star.

To simulate the kilonova outbursts – an element-creating event that scientists believe is responsible for seeding space with heavy elements – the team produced estimates of its total ejected mass, its average velocity, and its composition.

“With these three quantities one can estimate whether the light curve would have the right luminosity, color, and evolution time,” Fernández said.

There are two generalized components of these kilonova outbursts – one evolves over the course of days and is characterized by the signature blue-frequency light it gives off at its peak, and the other lasts for weeks and has an associated color peak of near-infrared light.

The latest simulations are designed to model these blue and red components of kilonovae.

The simulations also help to explain the launch of powerful energy jets that emanate outward in the merger aftermath, including a “striped” character of the jets due to the effects of powerful, alternating magnetic fields. These jets can be observed as a burst of gamma rays, as with the 2017 event.

Daniel Kasen, a scientist in the Nuclear Science Division at Berkeley Lab and an associate professor of physics and astronomy at UC Berkeley, said, “Magnetic fields provide a way to tap the energy of a spinning black hole and use it to shoot jets of gas moving at near the speed of light. Such jets can produce bursts of gamma-rays, as well as extended radio and x-ray emission, all of which were seen in the 2017 event.”

Fernández acknowledged that the simulations don’t precisely mirror observations yet – the simulations showed a lower mass for the blue kilonova contribution compared to the red – and that better models of the hypermassive neutron star resulting from the merger and of the abundant neutrinos – ghostly particles that travel through most types of matter unaffected – associated with the merger event are needed to improve the models.

The model did benefit from models of the discs of matter (accretion discs) circling black holes, as well as models of neutrino-cooling properties, the volume of neutrons and protons associated with the merger event, and the matter-creating process associated with the kilonova.

Kasen noted that computing resources at Berkeley Lab “let us peer into the most extreme environments – like this turbulent whirlpool sloshing outside a newly born black hole  – and watch and learn how the heavy elements were made.”

The simulations suggest that the neutron-star merger observed in August 2017 likely did not form a black hole in its immediate aftermath, and that the strongest magnetic fields were donut-shaped. Also, the simulations largely agreed with some long-standing models for fluid behavior.

NERSC is a DOE Office of Science User Facility.

This study was supported by the Natural Sciences and Engineering Research Council of Canada, the University of Alberta, the Simons Foundation, the Gordon and Betty Moore Foundation, and NASA.


Founded in 1931 on the belief that the biggest scientific challenges are best addressed by teams, Lawrence Berkeley National Laboratory and its scientists have been recognized with 13 Nobel Prizes. Today, Berkeley Lab researchers develop sustainable energy and environmental solutions, create useful new materials, advance the frontiers of computing, and probe the mysteries of life, matter, and the universe. Scientists from around the world rely on the Lab’s facilities for their own discovery science. Berkeley Lab is a multiprogram national laboratory, managed by the University of California for the U.S. Department of Energy’s Office of Science.

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