New method developed by Berkeley Lab researchers cuts through galaxies' messy emissions, provides clearer window into dark matter, dark energy
The earliest known light in our universe, known as the cosmic microwave background, was emitted about 380,000 years after the Big Bang. The patterning of this relic light holds many important clues to the development and distribution of large-scale structures such as galaxies and galaxy clusters.
Just as a wine glass distorts an image showing temperature fluctuations in the cosmic microwave background in this photo illustration, large objects like galaxy clusters and galaxies can similarly distort this light to produce lensing effects.
(Credit: Emmanuel Schaan and Simone Ferraro/Berkeley Lab)
Distortions in the cosmic microwave background (CMB), caused by a phenomenon known as lensing, can further illuminate the structure of the universe and can even tell us things about the mysterious, unseen universe - including dark energy, which makes up about 68 percent of the universe and accounts for its accelerating expansion, and dark matter, which accounts for about 27 percent of the universe.
Set a stemmed wine glass on a surface, and you can see how lensing effects can simultaneously magnify, squeeze, and stretch the view of the surface beneath it. In lensing of the CMB, gravity effects from large objects like galaxies and galaxy clusters bend the CMB light in different ways.
These lensing effects can be subtle (known as weak lensing) for distant and small galaxies, and computer programs can identify them because they disrupt the regular CMB patterning.
There are some known issues with the accuracy of lensing measurements, though, and particularly with temperature-based measurements of the CMB and associated lensing effects.
While lensing can be a powerful tool for studying the invisible universe, and could even potentially help us sort out the properties of ghostly subatomic particles like neutrinos, the universe is an inherently messy place.
And like bugs on a car's windshield during a long drive, the gas and dust swirling in other galaxies, among other factors, can obscure our view and lead to faulty readings of the CMB lensing.
There are some filtering tools that help researchers to limit or mask some of these effects, but these known obstructions continue to be a major problem in the many studies that rely on temperature-based measurements.
The effects of this interference with temperature-based CMB studies can lead to erroneous lensing measurements, said Emmanuel Schaan, a postdoctoral researcher and Owen Chamberlain Postdoctoral Fellow in the Physics Division at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab).
"You can be wrong and not know it," Schaan said. "The existing methods don't work perfectly - they are really limiting."
To address this problem, Schaan teamed up with Simone Ferraro, a Divisional Fellow in Berkeley Lab's Physics Division, to develop a way to improve the clarity and accuracy of CMB lensing measurements by separately accounting for different types of lensing effects.
"Lensing can magnify or demagnify things. It also distorts them along a certain axis so they are stretched in one direction," Schaan said.
The researchers found that a certain lensing signature called shearing, which causes this stretching in one direction, seems largely immune to the foreground "noise" effects that otherwise interfere with the CMB lensing data. The lensing effect known as magnification, meanwhile, is prone to errors introduced by foreground noise. Their study, published May 8 in the journal Physical Review Letters, notes a "dramatic reduction" in this error margin when focusing solely on shearing effects.
The sources of the lensing, which are large objects that stand between us and the CMB light, are typically galaxy groups and clusters that have a roughly spherical profile in temperature maps, Ferraro noted, and the latest study found that the emission of various forms of light from these "foreground" objects only appears to mimic the magnification effects in lensing but not the shear effects.
"So we said, 'Let's rely only on the shear and we'll be immune to foreground effects,'" Ferraro said. "When you have many of these galaxies that are mostly spherical, and you average them, they only contaminate the magnification part of the measurement. For shear, all of the errors are basically gone."
He added, "It reduces the noise, allowing us to get better maps. And we're more certain that these maps are correct," even when the measurements involve very distant galaxies as foreground lensing objects.
The new method could benefit a range of sky-surveying experiments, the study notes, including the POLARBEAR-2 and Simons Array experiments, which have Berkeley Lab and UC Berkeley participants; the Advanced Atacama Cosmology Telescope (AdvACT) project; and the South Pole Telescope - 3G camera (SPT-3G). It could also aid the Simons Observatory and the proposed next-generation, multilocation CMB experiment known as CMB-S4 - Berkeley Lab scientists are involved in the planning for both of these efforts.
The method could also enhance the science yield from future galaxy surveys like the Berkeley Lab-led Dark Energy Spectroscopic Instrument (DESI) project under construction near Tucson, Arizona, and the Large Synoptic Survey Telescope (LSST) project under construction in Chile, through joint analyses of data from these sky surveys and the CMB lensing data.
Increasingly large datasets from astrophysics experiments have led to more coordination in comparing data across experiments to provide more meaningful results. "These days, the synergies between CMB and galaxy surveys are a big deal," Ferraro said.
In this study, researchers relied on simulated full-sky CMB data. They used resources at Berkeley Lab's National Energy Research Scientific Computing Center (NERSC) to test their method on each of the four different foreground sources of noise, which include infrared, radiofrequency, thermal, and electron-interaction effects that can contaminate CMB lensing measurements.
The study notes that cosmic infrared background noise, and noise from the interaction of CMB light particles (photons) with high-energy electrons have been the most problematic sources to address using standard filtering tools in CMB measurements. Some existing and future CMB experiments seek to lessen these effects by taking precise measurements of the polarization, or orientation, of the CMB light signature rather than its temperature.
"We couldn't have done this project without a computing cluster like NERSC," Schaan said. NERSC has also proved useful in serving up other universe simulations to help prepare for upcoming experiments like DESI.
The method developed by Schaan and Ferraro is already being implemented in the analysis of current experiments' data. One possible application is to develop more detailed visualizations of dark matter filaments and nodes that appear to connect matter in the universe via a complex and changing cosmic web.
The researchers reported a positive reception to their newly introduced method.
"This was an outstanding problem that many people had thought about," Ferraro said. "We're happy to find elegant solutions."
NERSC is a DOE Office of Science User Facility.
The U.S. Department of Energy's Office of High Energy Physics Cosmic Frontier Program, the Chamberlain fellowship program in Berkeley Lab's Physics Division, and the Miller Institute for Basic Research in Science at UC Berkeley supported the participants in this study. NERSC is supported by the DOE Office of Science's Advanced Scientific Computing Research program. The DESI project is supported by the Department of Energy's Office of High Energy Physics, and the LSST project is jointly supported by the DOE and National Science Foundation.
View the original press release here: https:/
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.
DOE's Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit http://science.
Glenn Roberts Jr. | EurekAlert!
Hubble discovers mysterious black hole disc
12.07.2019 | ESA/Hubble Information Centre
What happens when you explode a chemical bond?
12.07.2019 | University of California - Berkeley
For some phenomena in quantum many-body physics several competing theories exist. But which of them describes a quantum phenomenon best? A team of researchers from the Technical University of Munich (TUM) and Harvard University in the United States has now successfully deployed artificial neural networks for image analysis of quantum systems.
Is that a dog or a cat? Such a classification is a prime example of machine learning: artificial neural networks can be trained to analyze images by looking...
An international research group led by scientists from the University of Bayreuth has produced a previously unknown material: Rhenium nitride pernitride. Thanks to combining properties that were previously considered incompatible, it looks set to become highly attractive for technological applications. Indeed, it is a super-hard metallic conductor that can withstand extremely high pressures like a diamond. A process now developed in Bayreuth opens up the possibility of producing rhenium nitride pernitride and other technologically interesting materials in sufficiently large quantity for their properties characterisation. The new findings are presented in "Nature Communications".
The possibility of finding a compound that was metallically conductive, super-hard, and ultra-incompressible was long considered unlikely in science. It was...
An interdisciplinary research team at the Technical University of Munich (TUM) has built platinum nanoparticles for catalysis in fuel cells: The new size-optimized catalysts are twice as good as the best process commercially available today.
Fuel cells may well replace batteries as the power source for electric cars. They consume hydrogen, a gas which could be produced for example using surplus...
The fly agaric with its red hat is perhaps the most evocative of the diverse and variously colored mushroom species. Hitherto, the purpose of these colors was...
Physicists at the Max Planck Institute for Nuclear Physics in Heidelberg report the first result of the new Alphatrap experiment. They measured the bound-electron g-factor of highly charged (boron-like) argon ions with unprecedented precision of 9 digits. In comparison with a new highly accurate quantum electrodynamic calculation they found an excellent agreement on a level of 7 digits. This paves the way for sensitive tests of QED in strong fields like precision measurements of the fine structure constant α as well as the detection of possible signatures of new physics. [Physical Review Letters, 27 June 2019]
Quantum electrodynamics (QED) describes the interaction of charged particles with electromagnetic fields and is the most precisely tested physical theory. It...
24.06.2019 | Event News
29.04.2019 | Event News
17.04.2019 | Event News
15.07.2019 | Life Sciences
15.07.2019 | Power and Electrical Engineering
15.07.2019 | Life Sciences