Making Sense of the Nonsensical: Black Holes and the Simulation Library

A black hole.

The international Event Horizon Telescope collaboration has snapped a second image of a black hole — this time at the center of our own Milky Way galaxy. But to give the image meaning, the collaboration had to compare it with black hole simulations. (Image: via Pixabay)

After mobilizing more than 300 scientists and engineers to establish a network of synchronized telescopes that form an Earth-sized virtual telescope, the international Event Horizon Telescope Collaboration snapped the first-ever images of supermassive black holes. The first image of the black hole at the center of the Messier 87 galaxy was released in 2019. The latest image, released Thursday, shows the black hole at the center of our own Milky Way galaxy, called Sagittarius A*. 

But what happens after these images are captured? Chi-Kwan “CK” Chan, a University of Arizona associate research professor in the College of Science‘s Steward Observatory, said:

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“Snapping an image is just the beginning. To really understand the object we’re observing, we had to compare it to simulations.”

This is the first image of Sagittarius A*, one of the supermassive black holes at the center of our galaxy.
This is the first image of Sagittarius A*, one of the supermassive black holes at the center of our galaxy. (Image: via EHT Collaboration)

Chan serves as the secretary of the EHT Science Council and is a senior investigator for the international Black Hole PIRE Project, which works to develop the infrastructure to usher astronomical projects like EHT into the era of big data science. Chan is also a leader of the EHT collaboration’s theoretical modeling and interpretation efforts for Sagittarius A*, the subject of the latest photograph, and scientific papers published by the EHT Collaboration in Astrophysical Journal Letters. He coordinated the fifth paper, which focuses on creating black hole simulations and turning them into synthetic images that can be compared with real observations to teach us something new about black holes.

As a result of this process, EHT scientists determined that Sagittarius A* is likely spinning and has a magnetic field slightly stronger than a refrigerator magnet, which is enough to push away nearby gas. The gas falling into the black hole forms a disk that, from Earth, appears to be face-on rather than from the edge. This diffuse glowing disk is made up of super-heated gas, or plasma, and charged particles. The electrons are 100 times cooler than the ions in the plasma, and the disk rotates in the same direction the black hole spins. Also, only some of this material falls into the black hole. If Sagittarius A* was a person, it would consume a single grain of rice every million years.

Finding meaning in black holes

UArizona, together with the University of Illinois and Harvard University, led the effort to create the biggest collection of simulations to date, which EHT calls the simulation library. This library is made up of thousands of data sets — containing information about how the plasma interacts with magnetic fields around black holes — and millions of simulated images. Each simulation assumes something different about the properties and characteristics of black holes and their surrounding environments.

EHT scientists can compare each simulated image with the actual images of black holes to find a match. The simulation that creates the snapshot with the closest match can teach us something about the actual black hole, including its plasma temperature and the strength of its magnetic field.

The simulation process involves using supercomputers to solve what’s called general relativistic magnetohydrodynamic — or GRMHD — equations, which reveal the movement of material and energy around black holes within dramatically warped space and time. GRMHD simulations are similar to simulations used to understand how air flows around aircraft, Chan said, but GRMHD simulations also factor in extreme forces of gravity as described by Einstein’s theory of general relativity and the interaction between magnetic fields and plasma.

A view between two rows of Frontera servers in the Texas Advanced Computing Center data center.
A view between two rows of Frontera servers in the Texas Advanced Computing Center data center, where UArizona’s Chi-Kwan “C.K.” Chan is the principal investigator. (Image: Texas Advanced Computing Center)

Unlike simpler equations, which can be solved with a pencil, paper, and time, GRMHD equations are much more complex, as they account for the constant feedback between magnetic fields and plasma, resulting in an ever-changing equation. To create the simulation library, the EHT Collaboration needed 80 million CPU hours, or processing time, which is the equivalent of running 2,000 laptops at full speed for a full year. The collaboration ran the calculations to create the library with the National Science Foundation-funded Frontera supercomputer at the Texas Advanced Computing Center, where Chan is the principal investigator of the Frontera Large-Scale Community Partnerships allocation. With this resource, the team was able to finish the full library of simulations in two months. Chan said:

“To compare simulations like this with EHT observations, we need to run additional calculations to translate the GRMHD data into images, too. Those kinds of calculations are called general relativistic ray tracing.” 

The EHT was designed to detect a specific wavelength — 1.3 millimeters — of radio waves from the galactic center of a black hole. To simulate these radio waves and create images, scientists trace the path that light traveled back to the black hole, again using supercomputers. Chan led much of the ray tracing calculation efforts for Sagittarius A* through CyVerse, a national cyberinfrastructure based at UArizona, and the NSF-funded Open Science Grid, a consortium for the computation of large amounts of data.

The UArizona team not only spearheaded the effort to acquire the computational resources to run these simulations, but they also created the software that facilitated the calculations. The final product is many simulated movies and simulated images of a black hole produced by different assumptions about the underlying physics. The team then compares those movies and images with real black holes.

More to learn

UArizona students played an important role in making the comparison possible. Yuan Jea Hew, a recent graduate who studied astronomy, and Anthony Hsu, a sophomore studying computer science and applied mathematics, developed data analysis algorithms to make comparison possible. The collaboration relied on 11 different tests that the black hole simulations had to pass in order to sufficiently match the real black hole. Chan said:

“It is remarkable that we understand Sagittarius A* so well that we have some models pass 10 out of the 11 tests.”

The tests considered variables such as the brightness of certain wavelengths, image size, and the size and width of the glowing ring surrounding the black hole. “However, no single model passed all 11 tests,” Chan said. The test that was hardest for the models to beat was the variability, which measures how much the black hole changes from moment to moment. The simulations are more variable than the real Sagittarius A*. Chan said:

“No matter how long we run the simulations to let them settle down, most of the simulations still failed that test. They don’t quite match the reality, but I think this is more exciting than if everything simply worked out. Now, we can learn some new physics and understand our own black hole better.”

The UArizona faculty members working to understand black holes have been tackling this challenge for decades and were part of the research groups that identified the black hole at the center of the Milky Way and the one at the center of Messier 87 galaxy as ideal targets for study. The university also contributed two of the eight telescopes in the EHT array used to create these images — the Sub-Millimeter Telescope on Mount Graham in Arizona and the South Pole Telescope in Antarctica. In 2019, UArizona also added the 12-meter telescope on Kitt Peak in Arizona to the array.

Provided by Mikayla MacE Kelley, University of Arizona [Note: Materials may be edited for content and length.]

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