NASA’s Roman mission gets cosmic ‘sneak peek’ from supercomputers

Michael Troxel, an associate professor of physics at Duke University in Durham, North Carolina, led the simulation campaign as part of a broader project called OpenUniverse. The team is now releasing a 10-terabyte subset of this data, with the remaining 390 terabytes to follow this fall once they’ve been processed.

“Using Argonne’s now-retired Theta machine, we accomplished in about nine days what would have taken around 300 years on your laptop,” said Katrin Heitmann, a cosmologist and deputy director of Argonne’s High Energy Physics division who managed the project’s supercomputer time. “The results will shape Roman and Rubin’s future attempts to illuminate dark matter and dark energy while offering other scientists a preview of the types of things they’ll be able to explore using data from the telescopes.”

A Cosmic Dress Rehearsal

For the first time, this simulation factored in the telescopes’ instrument performance, making it the most accurate preview yet of the cosmos as Roman and Rubin will see it once they start observing. Rubin will begin operations in 2025, and NASA’s Roman will launch by May 2027.

The simulation’s precision is important because scientists will comb through the observatories’ future data in search of tiny features that will help them unravel the biggest mysteries in cosmology.

Roman and Rubin will both explore dark energy — the mysterious force thought to be accelerating the universe’s expansion. Since it plays a major role in governing the cosmos, scientists are eager to learn more about it. Simulations like OpenUniverse help them understand signatures that each instrument imprints on the images and iron out data processing methods now so they can decipher future data correctly. Then scientists will be able to make big discoveries even from weak signals.

“OpenUniverse lets us calibrate our expectations of what we can discover with these telescopes,” said Jim Chiang, a staff scientist at DOE’s SLAC National Accelerator Laboratory in Menlo Park, California, who helped create the simulations. “It gives us a chance to exercise our processing pipelines, better understand our analysis codes, and accurately interpret the results so we can prepare to use the real data right away once it starts coming in.”

Then they’ll continue using simulations to explore the physics and instrument effects that could reproduce what the observatories see in the universe.

Telescopic Teamwork

It took a large and talented team from several organizations to conduct such an immense simulation.

“Few people in the world are skilled enough to run these simulations,” said Alina Kiessling, a research scientist at NASA’s Jet Propulsion Laboratory (JPL) in Southern California and the principal investigator of OpenUniverse. “This massive undertaking was only possible thanks to the collaboration between the DOE, Argonne, SLAC, and NASA, which pulled all the right resources and experts together.”

And the project will ramp up further once Roman and Rubin begin observing the universe.

“We’ll use the observations to make our simulations even more accurate,” Kiessling said. “This will give us greater insight into the evolution of the universe over time and help us better understand the cosmology that ultimately shaped the universe.”

The Roman and Rubin simulations cover the same patch of the sky, totaling about 0.08 square degrees (roughly equivalent to a third of the area of sky covered by a full Moon). The full simulation to be released later this year will span 70 square degrees, about the sky area covered by 350 full Moons.

Overlapping them lets scientists learn how to use the best aspects of each telescope — Rubin’s broader view and Roman’s sharper, deeper vision. The combination will yield better constraints than researchers could glean from either observatory alone.

“Connecting the simulations like we’ve done lets us make comparisons and see how Roman’s space-based survey will help improve data from Rubin’s ground-based one,” Heitmann said. “We can explore ways to tease out multiple objects that blend together in Rubin’s images and apply those corrections over its broader coverage.”

Scientists can consider modifying each telescope’s observing plans or data processing pipelines to benefit the combined use of both.

“We made phenomenal strides in simplifying these pipelines and making them usable,” Kiessling said. A partnership with Caltech/IPAC’s IRSA (Infrared Science Archive) makes simulated data accessible now so when researchers access real data in the future, they’ll already be accustomed to the tools. “Now we want people to start working with the simulations to see what improvements we can make and prepare to use the future data as effectively as possible.”