Berkeley Lab Physics Division
Cosmic Microwave Background
Cosmic Microwave Background
The Berkeley Lab Cosmic Microwave Background (CMB) research program studies the oldest light in the universe to search for the imprint of quantum fluctuations left behind by cosmic inflation, determine the abundance of light relic particles in the early universe, measure the absolute scale of the neutrino mass, probe the physics of dark matter dark energy, and more.
These efforts live within the Cosmology Group within the Physics Division at Berkeley Lab. Our members have a broad range of expertise in instrumentation, simulation and data analysis, and theory. We collaborate locally with members of the Computational Cosmology Center, the Berkeley Center for Cosmological Physics, the UC Berkeley Physics Department, Centre Pierre Binetruy, NERSC, ESnet, the Berkeley Lab Engineering Division, and the Berkeley Lab Computing Sciences Division, as well as externally with research groups at a wide array of universities and labs. We routinely host interns and visitors via URAP, SULI, BLUR, SCGSR, and other programs. Please scroll down to read about some of our current projects and research focuses.
Detecting or setting stringent upper limits on the energy scale of inflation is one of the biggest challenges of modern cosmology, and the key science goal of our CMB program. The success of current and future surveys hinges on exquisite sensitivity and control of astrophysical and instrumental biases. We build on the work performed for CMB-S4 to forecast, design, and optimize future CMB experiments. We also aim to make the most out of upcoming data, developing component separation techniques to separate the CMB signal from the galactic foregrounds, as well as studying CMB lensing reconstruction and delensing, which is crucial to revealing the inflationary signature in the CMB polarization.
Staff: Julian Borrill, Simone Ferraro, John Groh, Adrian Lee, Aritoki Suzuki, Clara Verges
We are active in the analysis of current and future CMB data, as well as the development of new techniques to reduce possible astrophysical or instrumental systematic effects, while maximizing the amount of information that we can extract. Secondary anisotropies, such as gravitational lensing by large-scale structure and the Sunyaev-Zel'dovich effect, allow us to use the CMB as a "backlight", revealing hidden matter in and around cosmic structures. We use a variety of advanced statistical methods as well as Artificial Intelligence and Machine Learning approaches.
Another major area of research is joint analyses with Large-Scale Structure surveys such as DESI and Rubin Observatory, among others. They can break important degeneracies between cosmological and astrophysical effects and probe the growth and evolution of structure across cosmic time, provide insights on the masses of neutrinos, and test our theories of how gravity works on the largest scales.
Staff: Simone Ferraro
Teasing the tiny cosmological signals out of massive CMB datasets requires a significant effort in simulating and analyzing the raw time-ordered data. This includes both the design of the algorithms and their implementation on the most massively-parallel supercomputers. For 30 years, Physics and Computational Science staff in the Computational Cosmology Center have developed the necessary simulation and reduction tools, deployed them on the available resources (most notably the NERSC supercomputers), and applied them to data from satellite (Planck), balloon (BOOMERanG, MAXIMA), and ground-based (POLARBEAR, Simons Observatory).
Staff: Julian Borrill, Reijo Keskitalo (Computational Science), Ted Kisner (Computational Science)
We build on our extensive work on CMB-S4 to design the next-generation ground-based cosmic microwave background experiments. With arrays of large- and small-aperture telescopes surveying the sky with hundreds of thousands of cryogenically cooled superconducting detectors, they will deliver transformative discoveries in fundamental physics, cosmology, astrophysics, and astronomy.
While the focus of our group is on future surveys, our members are also involved in Stage-3 CMB experiments, as the design of the next generation must be guided by results, developments, and lessons learned from prior and ongoing experiments. We are involved in the Simons Observatory, located in the Chilean Atacama, which has started observations in 2023, and in the BICEP/Keck program, which has been operating telescopes at the South Pole for over 15 years.
Staff: Julian Borrill, Simone Ferraro, John Groh, Adrian Lee, Aritoki Suzuki, Clara Verges
Superconducting Transition-edge sensors (TES) detectors have been the gold standard for highly scalable background-limited detection of CMB radiation for several decades. The Berkeley CMB group has a long history of key developments in CMB detector technology. We have designed and delivered detectors for several generations of CMB experiments. Other areas of focus include developing novel TES thin film materials and working with industry partners to increase fabrication throughput.
Staff: Adrian Lee, Aritoki Suzuki
Degree-scale CMB polarization anisotropies require extremely sensitive telescopes with well-controlled systematics. To that end, we are developing telescopes with ~0.5 m diameter apertures that are appropriate for the large angular scales targeted by inflation surveys. As a key input to this process, we are also commissioning and analyzing data from similar telescopes in the Simons Observatory and BICEP Array.
Staff: John Groh, Adrian Lee, Aritoki Suzuki, Clara Verges
The scalability of the transition-edge sensor detectors used for CMB measurements is limited by their associated readout electronics. Multiplexed readout is therefore a key enabling technology for current and future CMB experiments. The Berkeley Lab group has developed and delivered multiplexed readout systems with several different architectures for several generations of CMB experiments, and continues to develop advanced readout schemes for future telescopes. We are also studying how multiplexer systematic effects, such as cross-talk, manifest in observatory data.
Staff: John Groh, Adrian Lee, Aritoki Suzuki
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