Published January 23, 2019
Written by John Toon, Georgia Tech
The light released from around the first massive black holes in the universe is so intense that it is able to reach telescopes across the entire expanse of the universe. Incredibly, the light from the most distant black holes, or quasars, has been traveling to us for more than 13 billion light years. However, we do not know how these monster black holes formed.
New research led by researchers from Georgia Institute of Technology, Dublin City University in Ireland, Michigan State University, the University of California San Diego, the San Diego Supercomputer Center (SDSC), and IBM provides a new and extremely promising avenue for solving this cosmic riddle, according to conclusions of the simulation-based study, reported January 23rd in the journal Nature. The team showed that when galaxies assemble extremely rapidly – and sometimes violently – that can lead to the formation of very massive black holes. In these rare galaxies, normal star formation is disrupted and black hole formation takes over.
The new study finds that massive black holes form in dense starless regions that are growing rapidly, turning upside down the long-accepted belief that massive black hole formation was limited to regions bombarded by the powerful radiation of nearby galaxies. The research also found that massive black holes are much more common in the universe than previously thought.
The key criteria for determining where massive black holes formed during the universe’s infancy relates to the rapid growth of pre-galactic gas clouds that are the forerunners of all present-day galaxies, meaning that most supermassive black holes have a common origin forming in this newly discovered scenario, said John Wise, an associate professor in the Center for Relativistic Astrophysics in Georgia Tech’s School of Physics and the paper’s corresponding author.
Dark matter collapses into halos that are the gravitational glue for all galaxies. Early rapid growth of these halos prevented the formation of stars that would have competed with black holes for gaseous matter flowing into the area.
“In this study, we have uncovered a totally new mechanism that sparks the formation of massive black holes in particular dark matter halos,” said Wise. “Instead of just considering radiation, we need to look at how quickly the halos grow. We don’t need that much physics to understand it – just how the dark matter is distributed and how gravity will affect that. Forming a massive black hole requires being in a rare region with an intense convergence of matter.”
When the research team found these black hole formation sites in the simulation they were at first stumped, said John Regan, research fellow in the Centre for Astrophysics and Relativity in Dublin City University. The previously accepted paradigm was that massive black holes could only form when exposed to high levels of nearby radiation.
“Previous theories suggested this should only happen when the sites were exposed to high levels of star-formation killing radiation,” said Regan. “As we delved deeper, we saw that these sites were undergoing a period of extremely rapid growth. That was the key. The violent and turbulent nature of the rapid assembly, the violent crashing together of the galaxy’s foundations during the galaxy’s birth prevented normal star formation and led to perfect conditions for black hole formation instead. This research shifts the previous paradigm and opens up a whole new area of research.”
The earlier theory relied on intense ultraviolet radiation from a nearby galaxy to inhibit the formation of stars in the black hole-forming halo, according to Michael Norman, a co-author of the study and director of the San Diego Supercomputer Center and a Distinguished Professor of Physics at UC San Diego. “While UV radiation is still a factor, our work has shown that it is not the dominant factor, at least in our simulations.”
The research was based on the Renaissance Simulations suite, a 70-terabyte data set created on the Blue Waters supercomputer at the National Center for Supercomputing Applications between 2011 and 2014 to help scientists understand how the universe evolved during its early years. To learn more about specific regions where massive black holes were likely to develop, the researchers examined the simulation data and found ten specific dark matter halos that should have formed stars given their masses but only contained a dense gas cloud.
Using the Stampede2 supercomputer at the Texas Advanced Supercomputing Center, they then re-simulated two of those halos – each about 2,400 light-years across – at much higher resolution to understand details of what was happening in them 270 million years after the Big Bang.
“It was only in these overly-dense regions of the universe that we saw these black holes forming,” Wise said. “The dark matter creates most of the gravity, and then the gas falls into that gravitational potential, where it can form stars or a massive black hole.”
The Renaissance Simulations are the most comprehensive simulations of the earliest stages of the gravitational assembly of the pristine gas composed of hydrogen and helium and cold dark matter leading to the formation of the first stars and galaxies. They use a technique known as adaptive mesh refinement to zoom in on dense clumps forming stars or black holes.
In addition, they cover a large enough region of the early universe to form thousands of objects – a requirement if one is interested in rare objects as is the case here. “The high resolution, rich physics, and large sample of collapsing halos were all needed to achieve this result,” said SDSC’s Norman.
The improved resolution of the simulation done for two candidate regions allowed the scientists to see turbulence and the inflow of gas and clumps of matter forming as the black hole precursors began to condense and spin. Their growth rate was dramatic.
“Astronomers observe supermassive black holes that have grown to a billion solar masses in 800 million years,” Wise said. “Doing that required an intense convergence of mass in that region. You would expect that in regions where galaxies were forming at very early times.”
Another aspect of the research is that the halos that give birth to black holes may be more common than previously believed.
“An exciting component of this work is the discovery that these types of halos, though rare, may be common enough,” said Brian O’Shea, a professor at Michigan State University. “We predict that this scenario would happen enough to be the origin of the most massive black holes that are observed, both early in the universe and in galaxies at the present day.”
Future work with these simulations will look at the lifecycle of these massive black hole formation galaxies, studying the formation, growth, and evolution of the first massive black holes across time. “Our next goal is to probe the further evolution of these exotic objects. Where are these black holes today? Can we detect evidence of them in the local Universe or with gravitational waves?” Regan asked.
For these new answers, the research team – and others – may return to the simulations.
“The Renaissance Simulations are sufficiently rich that other discoveries can be made using data already computed,” noted Norman. “For this reason we have created a public archive at SDSC containing called the Renaissance Simulations Laboratory where others can pursue questions of their own.”
This research was supported by the National Science Foundation through grants PHY-1430152, AST-1514700, AST-161433 and OAC-1835213; by NASA grants NNX12AC98G, 147 NNX15AP39G, and NNX17AG23G; and by Hubble theory grants HST-AR-13261.01, HST-AR-14315.001, and HST-AR-14326. This project received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 699941 (Marie Sklodowska-Curie Actions – “SmartStars”). The simulation performed on the Blue Waters supercomputer at NCSA had allocation support by the NSF (awards ACI-0832662, ACI-1238993, and ACI-1514580).
About SDSC
As an Organized Research Unit of UC San Diego, SDSC is considered a leader in data-intensive computing and cyberinfrastructure, providing resources, services, and expertise to the national research community, including industry and academia. Cyberinfrastructure refers to an accessible, integrated network of computer-based resources and expertise, focused on accelerating scientific inquiry and discovery. SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC’s petascale Comet supercomputer is a key resource within the National Science Foundation’s XSEDE (eXtreme Science and Engineering Discovery Environment) program.
Share