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Astronomers carry out largest ever cosmological computer simulation

Astronomers carry out largest ever cosmological computer simulation
The background image shows the present-day distribution of matter in a slice through the largest FLAMINGO simulation, which is a cubic volume of 2.8 Gpc (9.1 billion light years) on a side. The luminosity of the background image gives the present-day distribution of dark matter, while the color encodes the distribution of neutrinos. The insets show three consecutive zooms centered on the most massive cluster of galaxies; in order, these show the gas temperature, the dark matter density, and a virtual X-ray observation (from Schaye et al. 2023). Credit: Josh Borrow, the FLAMINGO team and the Virgo Consortium. Licensed CC-BY-4.0

An international team of astronomers has carried out what is believed to be the largest ever cosmological computer simulation, tracking not only dark but also ordinary matter (such as planets, stars and galaxies), giving us a glimpse into how our universe may have evolved.

The FLAMINGO simulations calculate the evolution of all components of the universe—ordinary matter, , and —according to the laws of physics. As the simulation progresses, virtual and clusters of galaxies emerge. Three papers have been published in Monthly Notices of the Royal Astronomical Society: one describing the methods, another presenting the simulations and the third examining how well the simulations reproduce the large-scale structure of the universe.

Facilities such as the Euclid Space Telescope recently launched by the European Space Agency (ESA) and NASA's JWST collect impressive amounts of data on galaxies, quasars, and stars. Simulations such as FLAMINGO play a key role in the scientific interpretation of the data by connecting predictions from theories of our universe to the observed data.

Evolution of the most massive galaxy cluster in the high-resolution simulation. The main frame shows the gas density (brightness) and temperature (hue), with white indicating the hottest and densest gas in the intra-cluster medium. The zoom inset shows the evolution of dark matter density in the centre of one cluster. The cluster grows both through continuous accretion of matter along filaments, and occasional dramatic mergers that shock-heat the gas. Credit: Yannick Bahé, the FLAMINGO team and the Virgo Consortium.

According to the theory, the properties of our entire universe are set by a few numbers called '' (six of them in the simplest version of the theory). The values of these parameters can be measured very precisely in various ways.

One of these methods relies on the properties of the cosmic microwave background (CMB), a faint background glow left over from the early universe. However, these values do not match those measured by other techniques that rely on the way in which the gravitational force of galaxies bends light (lensing). These 'tensions' could signal the demise of the standard model of cosmology—the cold dark matter model.

The computer simulations may be able to reveal the cause of these tensions because they can inform scientists about possible biases (systematic errors) in the measurements. If none of these prove sufficient to explain away the tensions, the theory will be in real trouble.

So far, the computer simulations used to compare to the observations only track cold dark matter. "Although the dark matter dominates gravity, the contribution of ordinary matter can no longer be neglected," says research leader Joop Schaye (Leiden University), "since that contribution could be similar to the deviations between the models and the observations."

The first results show that both neutrinos and ordinary matter are essential for making accurate predictions, but do not eliminate the tensions between the different cosmological observations.

Biggest ever supercomputer simulation to investigate Universe's evolution
A projection through a 130 million light years thick slice through a simulation of a cubic volume of 9,132 million light years on a side. The luminosity of the background image gives the cold dark matter surface density while the color encodes the surface density of massive neutrinos. The filamentary cosmic web of large-scale structure is clearly visible. The fact that the color changes more smoothly than the luminosity indicates that neutrinos cluster on larger length scales than cold dark matter. Credit: Image credit Josh Borrow, the FLAMINGO team and the Virgo Consortium.

Simulations that also track ordinary, baryonic matter (also known as ) are much more challenging and require much more computing power. This is because ordinary matter—which makes up only sixteen percent of all matter in the universe—feels not only gravity but also gas pressure, which can cause matter to be blown out of galaxies by active black holes and supernovae far into intergalactic space.

The strength of these intergalactic winds depends on explosions in the interstellar medium and is very difficult to predict. On top of this, the contribution of neutrinos, of very small but not precisely known mass, is also important but their motion has not been simulated so far.

The astronomers have completed a series of tracking structure formation in dark matter, ordinary , and neutrinos. Ph.D. student Roi Kugel (Leiden University) explains, "The effect of galactic winds was calibrated using machine learning, by comparing the predictions of lots of different simulations of relatively small volumes with the observed masses of galaxies and the distribution of gas in clusters of galaxies."

The researchers simulated the model that best describes the calibration observations with a supercomputer in different cosmic volumes and at different resolutions. In addition, they varied the parameters of the model, including the strength of galactic winds, the mass of neutrinos, and the cosmological parameters in simulations of slightly smaller but still large volumes.

The largest simulation uses 300 billion resolution elements (particles with the mass of a small galaxy) in a cubic volume with edges of ten billion light years. This is believed to be the largest cosmological computer simulation with ever completed. Matthieu Schaller, of Leiden University, said, "To make this possible, we developed a new code, SWIFT, which efficiently distributes the computational work over 30 thousand CPUs."

The FLAMINGO simulations open a new virtual window on the that will help make the most of cosmological observations. In addition, the large amount of (virtual) data creates opportunities to make new theoretical discoveries and to test new data analysis techniques, including machine learning.

Using , astronomers can then make predictions for random virtual universes. By comparing these with large-scale structure observations, they can measure the values of cosmological parameters. Moreover, they can measure the corresponding uncertainties by comparing with observations that constrain the effect of galactic winds.

More information: Joop Schaye et al, The FLAMINGO project: cosmological hydrodynamical simulations for large-scale structure and galaxy cluster surveys, Monthly Notices of the Royal Astronomical Society (2023). DOI: 10.1093/mnras/stad2419

Roi Kugel et al, FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning, Monthly Notices of the Royal Astronomical Society (2023). DOI: 10.1093/mnras/stad2540

Ian G McCarthy et al, The FLAMINGO project: revisiting the S8 tension and the role of baryonic physics, Monthly Notices of the Royal Astronomical Society (2023). DOI: 10.1093/mnras/stad3107

Citation: Astronomers carry out largest ever cosmological computer simulation (2023, October 23) retrieved 28 February 2024 from https://phys.org/news/2023-10-astronomers-largest-cosmological-simulation.html
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