Sowjanya Gollapinni elected co-spokesperson for DUNE collaboration 

Senior scientist Sowjanya Gollapinni has been elected as the new co-spokesperson for the international neutrino project, the Deep Underground Neutrino Experiment, hosted by the U.S. Department of Energy’s Fermi National Accelerator Laboratory. Gollapinni, currently a scientist at the Department of Energy’s Los Alamos National Laboratory, will succeed Mary Bishai, an experimental particle physicist at Brookhaven National Laboratory, who co-led the collaboration since 2023. Gollapinni’s two-year term began April 1.  

“Mary has done a wonderful job leading the collaboration over the last two years and she will continue to contribute her uncommon skills and drive to the success of DUNE Phase-I and to the realization of DUNE Phase II,” said Sergio Bertolucci, co-spokesperson of DUNE and professor of physics at the University of Bologna in Italy. “I look forward to working with Sowjanya to establish DUNE as the best-in-class next generation neutrino experiment.”

DUNE is an international flagship experiment to unlock the mysteries of neutrinos. Fermilab is the host laboratory for DUNE, in partnership with funding agencies and more than 1,400 scientists and engineers from all over the globe. 

With a focus on neutrino research, Gollapinni has been involved with the DUNE collaboration since 2015, in several scientific and technical leadership roles. Before moving to Los Alamos, Gollapinni was a faculty at the University of Tennessee, Knoxville’s physics and astronomy department. 

“It’s a great privilege to have been elected as co-spokesperson, and I’m honored at the trust the collaboration has placed in me,” Gollapinni said. “The next two years will be a pivotal time for DUNE, and I look forward to taking DUNE to the next stages of development as the collaboration gets closer to making this project a reality.” 

She added “It will be a pleasure to work with Sergio. He has been critically involved in the experiment for a long time and has made foundational contributions to what we are now calling DUNE.”

Referencing the 2023 Particle Physics Project Prioritization Panel report, Gollapinni added, “The P5 report could not have supported Phase-I and Phase-II of DUNE any stronger. My focus over the next two years will be successful execution of Phase-I and building a roadmap for Phase-II to realize the full scope of DUNE.” 

The infrastructure that will house DUNE is currently being built at two sites: Fermilab’s campus in Batavia, Illinois and a mile below the surface at the Sanford Underground Research Facility in Lead, South Dakota. 

Last year, LBNF/DUNE achieved a major milestone with the completion of excavation for the colossal caverns that will house the experiment’s far detectors. Since that time, workers have begun installing conventional infrastructure, such as lighting, electricity and fire suppression equipment in the space one mile underground in Lead, South Dakota. 

DUNE is a science experiment, but it is also a collaboration that is made up of people. We need to ensure the collaborators are successful in their science and research, but also in their careers especially early career members.

On the collaborative nature of the experiment, Gollapinni said, “DUNE is very international. I value international partnerships and the commitments they bring to the table greatly. DUNE will not be possible without them.To me, DUNE would not have come this far if it were not for the incredible hard work and intellectual contributions of the people involved. So, the welfare of the collaboration is of paramount importance to me.” 

Researchers at the Department of Energy’s Fermi National Accelerator Laboratory, along with scientists and engineers at the computer chip manufacturer Diraq, University of Wisconsin-Madison, University of Chicago and Manchester University, have proposed the development of a quantum sensor made of quantum bits called spin qubits in silicon to probe beyond Standard Model physics. Diraq is a global leader in quantum computing technology on silicon, which is essential to the Quandarum project.

By placing many spin qubits together on a chip to form a sensor, the researchers seek to enable scientists to tease out even the faintest signals from the cosmos. Such a sensor could potentially be used to detect axions, hypothetical particles that some scientists believe comprise dark matter.

Led by Fermilab, the Quandarum project is one of 25 projects funded for a total of $71 million by the DOE program Quantum Information Science Enabled Discovery. The QuantISED program supports innovative research at national laboratories and universities that applies quantum technologies to use for fundamental science discovery.

With this award, researchers plan to develop a novel sensor, bringing together for the first time two specialized technologies: spin qubits in silicon and cryogenic “skipper” analog-to-digital converter circuits used for the readout of dark matter detectors.

Silicon spin-based quantum sensors can provide a powerful platform for testing theories around dark matter because they can exploit quantum interactions to increase sensitivity and explore the limits of what scientists understand about high-energy physics.

It’s all about the spin

Spin qubits store information in the direction of an electron’s spin, a property defined by quantum mechanics. The spin state of an electron is very sensitive to weak electromagnetic fields in the environment, allowing for extremely precise measurements.

“We can’t directly measure what the direction of the spin is, but we can measure small movements of charge because moving charge creates a change in the electric field which can be measured,” said Adam Quinn, Fermilab engineer and project principal investigator.

However, because electron spins are so small, densely packed, and sensitive to even the slightest disturbance, extracting information from spin qubits is quite difficult.

“The core challenge of this sensor is the readout, and the key to success is having the ability to read out information with minimal noise,” said Quinn.

To achieve this, Quinn and his fellow researchers are seeking new ways to use highly scaled readout techniques based on cryogenic application-specific integrated circuits, or ASICs, which would be co-designed using Diraq’s qubit sensor. ASICs are manufactured the same way as the chips that power most electronics today. However, they will use specialized design and layout techniques to achieve superior performance, particularly in extreme environments, such as in a cryogenic chamber.

The Fermilab team is building on prior work at Fermilab on the readout of skipper charge-coupled devices, or skipper CCDs. Engineers developed skipper CCDs to increase the readout accuracy by overcoming noise. By using an action called skipping to move the charge back and forth multiple times, skipper devices enable a more precise measurement at the single-electron level. The Fermilab team plans to apply this innovation to the readout of qubits, with several iterative chip designs that will allow them to more tightly integrate the qubits and readout electronics. They believe this will ultimately lead to a low-power, highly sensitive detector.

Fermilab has been developing novel readout chips for particle physics experiments for many years. Now, engineers and scientists will employ some of these same types of microelectronic circuits and apply them to the development of the new sensor.

Scaling up

However, producing the quantity of qubits needed — potentially thousands — putting them together on a silicon chip, and making them work properly is not easy.  During the manufacturing process, each one must be nearly identical and must perform similarly to the others.

Diraq, a company with world-leading expertise indeveloping spin qubits in silicon, is one company that is well positioned to manufacture spin qubits at the scale needed. Silicon is the preferred material because the industrial infrastructure to produce it is firmly established. 

“In addition to quantum computing, the inherent characteristics and material properties of silicon spin-based qubits offer significant promise for large quantum-sensing array technology and particle detection applications,” said Andrew Dzurak, founder and CEO of Diraq.

“By utilizing high-precision fabrication processes we are looking to enable the production of quality controlled integrated silicon spin qubits at cost-effective and commercial volumes. This technology has the potential to underpin the development not only of large-scale quantum computers but large-scale quantum sensing platforms,” he said.

One step at a time

Over the next five years, the goal is to combine the two technologies — spin qubits and skipper readout technology — onto a single chip. However, to get there, they will build several prototypes.

“We’re going to start out by re-using existing chips and putting them together,” said Quinn. “We expect that to be a good proof of concept, but one lacking great performance. Then, over the next few years, we’re going to design better and better ASICs to improve performance.

Fermilab and Diraq will be joined on the Quandarum project by scientists from University of Wisconsin-Madison, University of Chicago and Manchester University, who will be developing algorithms and modeling the interactions of the physics phenomena. All participating institutions are seeking to leverage the technology being developed for the mutual benefit of the Quandarum project and the high-energy physics research they are conducting.

“This project exemplifies the power of interdisciplinary collaboration and innovation to advance quantum technologies for fundamental science,” said Fermilab Microelectronics Division Head Farah Fahim.

“By combining Fermilab’s expertise in extreme environment electronics and constructing sensitive large-area detectors with Diraq’s world-class capabilities in silicon spin qubits, the Quandarum project will push the boundaries of quantum sensing to tackle one of the most profound mysteries of our universe,” said Fahim.

Quandarum is funded for a total of five years.

Fermi National Accelerator Laboratory is America’s premier national laboratory for particle physics and accelerator research. Fermi Forward Discovery Group manages Fermilab for the U.S. Department of Energy Office of Science. Visit Fermilab’s website at www.fnal.gov and follow us on social media.

This press release was originally published by the U.S. Department of Energy’s Lawrence Berkeley National Laboratory. DOE’s Fermi National Accelerator Laboratory contributed key elements to DESI, including the online databases used for data acquisition and the software that ensures that each of the 5,000 robotic positioners are precisely pointing to their celestial targets to within a 10th of the width of a human hair.

Fermilab also contributed the atmospheric dispersion corrector, corrector barrel, hexapod and cage. The corrector barrel holds DESI’s six large lenses in precise alignment. The hexapod, designed and built with partners in Italy, focuses the DESI images by moving the barrel-lens system. Both the barrel and hexapod are housed in the cage, which provides the attachment to the telescope structure. In addition, Fermilab carried out the testing and packaging of DESI’s charge-coupled devices. The CCDs convert the light passing through the lenses from distant galaxies into digital information that can then be analyzed by the collaboration.

The Dark Energy Spectroscopic Instrument (DESI) is mapping millions of celestial objects to better understand dark energy: the mysterious driver of our universe’s accelerating expansion. Today, the DESI collaboration released a new collection of data for anyone in the world to investigate. The dataset is the largest of its kind, with information on 18.7 million objects: roughly 4 million stars, 13.1 million galaxies, and 1.6 million quasars (extremely bright but distant objects powered by supermassive black holes at their cores). 

While the experiment’s main mission is illuminating dark energy, DESI’s Data Release 1 (DR1) could yield discoveries in other areas of astrophysics, such as the evolution of galaxies and black holes, the nature of dark matter, and the structure of the Milky Way.

“DR1 already gave the DESI collaboration hints that we might need to rethink our standard model of cosmology,” said Stephen Bailey, a scientist who leads data management for DESI and works at the U.S. Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab). “But these world-class datasets are also valuable for the rest of the astronomy community to test a huge wealth of other ideas, and we’re excited to see the breadth of research that will come out.”

DESI is an international experiment that brings together more than 900 researchers from over 70 institutions. The project is led by Berkeley Lab, and the instrument was constructed and is operated with funding from the DOE Office of Science. DESI is mounted on the U.S. National Science Foundation’s Nicholas U. Mayall 4-meter Telescope at Kitt Peak National Observatory (a program of NSF NOIRLab) in Arizona.

DESI’s data release is free and available to access through the National Energy Research Scientific Computing Center (NERSC), a facility at Berkeley Lab where DESI processes and stores data. Space fans can also explore some of DESI’s data through an interactive portal: the Legacy Survey Sky Browser. 

The new dataset vastly expands DESI’s Early Data Release (EDR), containing roughly 10 times as much data and covering seven times the area of sky. DR1 includes information from the first year of the “main survey” collected between May 2021 and June 2022, as well as from the preceding five-month “survey validation” where researchers tested the experiment. 

Objects in DESI’s catalog range from nearby stars in our own Milky Way to galaxies billions of light-years away. Because of the time it takes light to travel to Earth, looking out in space is akin to looking back in time. DESI lets us see our universe at different ages, from the present day to 11 billion years ago.

Although DR1 is just a fraction of what DESI will eventually produce, the 270-terabyte dataset represents a staggering amount of information, including precise distances to millions of galaxies. The release contains more than twice as many extragalactic objects (those found outside our galaxy) as have been collected in all previous 3D surveys combined. 

Within its first year of operations, DESI became the single largest spectroscopic redshift survey ever conducted, sometimes capturing data on more than 1 million objects in a single month. For comparison, its predecessor, the Sloan Digital Sky Survey (SDSS), collected light from 9 million unique objects over roughly 25 years of operations. In 2024, DESI researchers used the data in DR1 to create the largest 3D map of our universe to date and make world-leading measurements of dark energy.

“The DESI project has maintained the pace of making 3D maps of the universe that are 10 times larger every decade,” said David Schlegel, one of the lead scientists at Berkeley Lab for both DESI and SDSS. “That’s our version of Moore’s Law for cosmology surveys. The rapid advance is powered by the clever combination of improved instrument designs, technologies, and analysis of ever-fainter galaxies.”

Large-scale science for a large-scale audience

DESI collects light from distant galaxies by using 5,000 fiber-optic “eyes.” Under clear observing conditions, the instrument can gather a new set of 5,000 objects roughly every 20 minutes, or more than 100,000 galaxies in one night. “DESI is unlike any other machine in terms of its ability to observe independent objects simultaneously,” said John Moustakas, a professor of physics at Siena College and co-lead of DR1. 

The instrument separates the light from each galaxy into its spectrum of colors. This lets researchers determine how much the light has been “redshifted,” or stretched toward the red end of the spectrum by the universe’s expansion. Measuring the redshift of light from a distant object tells scientists how far away it is, meaning DESI can map the cosmos in three dimensions and reconstruct a detailed history of cosmic growth.

Every night, the images taken by DESI are automatically transferred to supercomputers at NERSC. The facility analyzes the data and sends them back to the researchers — a process they’re proud to advertise as “redshifts before breakfast.” This data transfer takes place via ESnet, the DOE’s dedicated high-speed network for science. The approach represents a new way of doing research where experimental facilities and data analysis are tightly coupled. This ecosystem forms an integrated research infrastructure that drastically accelerates the pace of science.

“For this data release, we made it so DESI could run on our most advanced supercomputer, Perlmutter,” said Daniel Margala, a scientific data architect at NERSC and part of the team that supports the DESI data processing. The transition to Perlmutter lets researchers take advantage of the supercomputer’s powerful GPUs (graphics processing units), processing the data nearly 40 times faster than was possible on previous NERSC systems. “What would have taken months on Cori [a prior-generation supercomputer] takes only weeks on Perlmutter.”

Even though they analyze data every night, researchers are always making improvements to their code to get the most possible information out of the light they collect. Once they hit a milestone, like collecting data for one year, they reprocess the full dataset with the best version of the code. It took about a month to crunch the DR1 dataset on Perlmutter.

That speed will be important as DESI collects even more data. The project is currently in its fourth of five years of data collection and aims to record spectra for more than 50 million galaxies and quasars before it ends.

Collaborators within DESI hope the experiment’s data will benefit researchers and enable those without access to large telescopes to advance their work. A major component of the data release is documentation to support other scientists, even those unfamiliar with the project, in understanding its contents. 

“We’re still discovering all the things you can do with this dataset, and we want the community to be able to try out all their creative ideas,” said Anthony Kremin, a project scientist at Berkeley Lab who co-led processing of the new data release. “There are endless kinds of interesting science you can do when you combine our data with outside information.”

The DESI DR1 paper is available on the DESI Data website and will be posted on the online repository, arXiv. Videos discussing the data release are available on the DESI YouTube channel. Members of the collaboration presented the data release alongside DESI’s newest dark energy analysis in talks today at the American Physical Society’s Global Physics Summit in Anaheim, California.

DESI is supported by the DOE Office of Science and by the National Energy Research Scientific Computing Center, a DOE Office of Science national user facility. Additional support for DESI is provided by the U.S. National Science Foundation; the Science and Technology Facilities Council of the United Kingdom; the Gordon and Betty Moore Foundation; the Heising-Simons Foundation; the French Alternative Energies and Atomic Energy Commission (CEA); the National Council of Humanities, Sciences, and Technologies of Mexico; the Ministry of Science and Innovation of Spain; and by the DESI member institutions.

The DESI collaboration is honored to be permitted to conduct scientific research on I’oligam Du’ag (Kitt Peak), a mountain with particular significance to the Tohono O’odham Nation.

This press release was originally published by the U.S. Department of Energy’s Lawrence Berkeley National Laboratory. DOE’s Fermi National Accelerator Laboratory contributed key elements to DESI, including the online databases used for data acquisition and the software that ensures that each of the 5,000 robotic positioners are precisely pointing to their celestial targets to within a 10th of the width of a human hair.

Fermilab also contributed the atmospheric dispersion corrector, corrector barrel, hexapod and cage. The corrector barrel holds DESI’s six large lenses in precise alignment. The hexapod, designed and built with partners in Italy, focuses the DESI images by moving the barrel-lens system. Both the barrel and hexapod are housed in the cage, which provides the attachment to the telescope structure. In addition, Fermilab carried out the testing and packaging of DESI’s charge-coupled devices. The CCDs convert the light passing through the lenses from distant galaxies into digital information that can then be analyzed by the collaboration.

The fate of the universe hinges on the balance between matter and dark energy: the fundamental ingredient that drives its accelerating expansion. New results from the Dark Energy Spectroscopic Instrument (DESI) collaboration use the largest 3D map of our universe ever made to track dark energy’s influence over the past 11 billion years. Researchers see hints that dark energy, widely thought to be a “cosmological constant,” might be evolving over time in unexpected ways.

DESI is an international experiment with more than 900 researchers from over 70 institutions around the world and is managed by the U.S. Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab). The collaboration shared their findings today in multiple papers that will be posted on the online repository arXiv and in a presentation at the American Physical Society’s Global Physics Summit in Anaheim, California.

“What we are seeing is deeply intriguing,” said Alexie Leauthaud-Harnett, co-spokesperson for DESI and a professor at UC Santa Cruz. “It is exciting to think that we may be on the cusp of a major discovery about dark energy and the fundamental nature of our universe.” 

Taken alone, DESI’s data are consistent with our standard model of the universe: Lambda CDM (where CDM is cold dark matter and Lambda represents the simplest case of dark energy, where it acts as a cosmological constant). However, when paired with other measurements, there are mounting indications that the impact of dark energy may be weakening over time and that other models may be a better fit. Those other measurements include the light leftover from the dawn of the universe (the cosmic microwave background or CMB), exploding stars (supernovae), and how light from distant galaxies is warped by gravity (weak lensing).

“We’re guided by Occam’s razor, and the simplest explanation for what we see is shifting,” said Will Percival, co-spokesperson for DESI and a professor at the University of Waterloo. “It’s looking more and more like we may need to modify our standard model of cosmology to make these different datasets make sense together — and evolving dark energy seems promising.”

So far, the preference for an evolving dark energy has not risen to “5 sigma,” the gold standard in physics that represents the threshold for a discovery. However, different combinations of DESI data with the CMB, weak lensing, and supernovae datasets range from 2.8 to 4.2 sigma. (A 3-sigma event has a 0.3% chance of being a statistical fluke, but many 3-sigma events in physics have faded away with more data.) The analysis used a technique to hide the results from the scientists until the end, mitigating any unconscious bias about the data.

“We’re in the business of letting the universe tell us how it works, and maybe the universe is telling us it’s more complicated than we thought it was,” said Andrei Cuceu, a postdoctoral researcher at Berkeley Lab and co-chair of DESI’s Lyman-alpha working group, which uses the distribution of intergalactic hydrogen gas to map the distant universe. “It’s interesting and gives us more confidence to see that many different lines of evidence are pointing in the same direction.”

DESI is one of the most extensive surveys of the cosmos ever conducted. The state-of-the-art instrument, which capture light from 5,000 galaxies simultaneously, was constructed and is operated with funding from the DOE Office of Science. DESI is mounted on the U.S. National Science Foundation’s Nicholas U. Mayall 4-meter Telescope at Kitt Peak National Observatory (a program of NSF NOIRLab) in Arizona. The experiment is now in its fourth of five years surveying the sky, with plans to measure roughly 50 million galaxies and quasars (extremely distant yet bright objects with black holes at their cores) by the time the project ends.

The new analysis uses data from the first three years of observations and includes nearly 15 million of the best measured galaxies and quasars. It’s a major leap forward, improving the experiment’s precision with a dataset that is more than double what was used in DESI’s first analysis, which also hinted at an evolving dark energy.

“It’s not just that the data continue to show a preference for evolving dark energy, but that the evidence is stronger now than it was,” said Seshadri Nadathur, professor at the University of Portsmouth and co-chair of DESI’s Galaxy and Quasar Clustering working group. “We’ve also performed many additional tests compared to the first year, and they’re making us confident that the results aren’t driven by some unknown effect in the data that we haven’t accounted for.”

DESI tracks dark energy’s influence by studying how matter is spread across the universe. Events in the very early universe left subtle patterns in how matter is distributed, a feature called baryon acoustic oscillations (BAO). That BAO pattern acts as a standard ruler, with its size at different times directly affected by how the universe was expanding. Measuring the ruler at different distances shows researchers the strength of dark energy throughout history. DESI’s precision with this approach is the best in the world.

“For a couple of decades, we’ve had this standard model of cosmology that is really impressive,” said Willem Elbers, a postdoctoral researcher at Durham University and co-chair of DESI’s Cosmological Parameter Estimation working group, which works out the numbers that describe our universe. “As our data are getting more and more precise, we’re finding potential cracks in the model and realizing we may need something new to explain all the results together.”

The collaboration will soon begin work on additional analyses to extract even more information from the current dataset, and DESI will continue collecting data. Other experiments coming online over the next several years will also provide complementary datasets for future analyses. 

“Our results are fertile ground for our theory colleagues as they look at new and existing models, and we’re excited to see what they come up with,” said Michael Levi, DESI director and a scientist at Berkeley Lab. “Whatever the nature of dark energy is, it will shape the future of our universe. It’s pretty remarkable that we can look up at the sky with our telescopes and try to answer one of the biggest questions that humanity has ever asked.”

Videos discussing the experiment’s new analysis are available on the DESI YouTube channel. Alongside unveiling its latest dark energy results at the APS meeting today, the DESI collaboration also announced that its Data Release 1 (DR1) is now available for anyone to explore. With information on millions of celestial objects, the dataset will support a wide range of astrophysical research by others, in addition to DESI’s cosmology goals. 

DESI is supported by the DOE Office of Science and by the National Energy Research Scientific Computing Center, a DOE Office of Science national user facility. Additional support for DESI is provided by the U.S. National Science Foundation; the Science and Technology Facilities Council of the United Kingdom; the Gordon and Betty Moore Foundation; the Heising-Simons Foundation; the French Alternative Energies and Atomic Energy Commission (CEA); the National Council of Humanities, Sciences, and Technologies of Mexico; the Ministry of Science and Innovation of Spain; and by the DESI member institutions.

The DESI collaboration is honored to be permitted to conduct scientific research on I’oligam Du’ag (Kitt Peak), a mountain with particular significance to the Tohono O’odham Nation.