IceCube Search for Extremely High-energy Neutrinos Contributes to Understanding of Cosmic Rays

Neutrinos are chargeless, weakly interacting particles that are able to travel undeflected through the cosmos. The IceCube Neutrino Observatory at the South Pole searches for the sources of these astrophysical neutrinos in order to understand the origin of high-energy particles called cosmic rays and, therefore, how the universe works. 

IceCube has already shown that neutrinos can exist up to about 10 PeV in energy, but both experimental and theoretical evidence suggests extremely high-energy (EHE) neutrinos should reach higher energies. One component, called cosmogenic neutrinos, are expected to be produced when the highest energy cosmic rays interact with the cosmic microwave background. These EHE neutrinos would have an astounding one joule of energy per particle, or higher.

By understanding the properties of cosmogenic neutrinos, such as their quantity and distribution in energy, scientists are hoping to solve the 100-year-old mystery of the origin of ultra-high-energy cosmic rays (UHECRs), with energies exceeding 1 EeV. In a study submitted to Physical Review Letters, the IceCube Collaboration presents a search for EHE neutrinos using 12.6 years of IceCube data. The nondetection of neutrinos with energies well above 10 PeV improves the upper limit on the allowed EHE neutrino flux by a factor of two, the most stringent limit to date. The collaborators also used the neutrino data to probe UHECRs directly. This analysis is the first result using neutrino data to disfavor the hypothesis that UHECRs are composed only of protons.

This figure shows the neutrino landscape at the highest energies between a few PeV and 100 EeV (1020 eV). The red line shows the flux limit we set due to not observing any neutrinos with extremely high energies. It is compared to the previous IceCube result using 9 years of data and to a measurement made by the Auger collaboration. Models of the extremely high-energy neutrino flux are shown in grey (cosmogenic neutrinos) and light blue (neutrinos from AGN), which we can also constrain with our analysis. Credit: IceCube CollaborationThis figure shows the neutrino landscape at the highest energies between a few PeV and 100 EeV (1020 eV). The red line shows the flux limit we set due to not observing any neutrinos with extremely high energies. It is compared to the previous IceCube result using 9 years of data and to a measurement made by the Auger collaboration. Models of the extremely high-energy neutrino flux are shown in grey (cosmogenic neutrinos) and light blue (neutrinos from AGN), which we can also constrain with our analysis. Credit: IceCube CollaborationIn the search for EHE neutrinos, researchers looked for neutrino “events” where neutrinos deposited a huge amount of light inside the detector. However, because most high-energy neutrinos are absorbed by the Earth, the focus of the study shifted to neutrinos arriving sideways at (horizontal) or above (downgoing) IceCube. Focusing on horizontal events in particular also allowed the researchers to eliminate most of the overwhelming background of atmospheric muons caused by cosmic-ray interactions above IceCube in the atmosphere.

 Using a novel method developed by Maximilian Meier, an assistant professor at Chiba University in Japan and colead on the study, they were able to identify how “clumpy” or stochastic an event was, which was helpful because true neutrino events are more stochastic than the cosmic-ray background.

“The non-observation of cosmogenic neutrinos tells us, under some pretty conservative modeling assumptions, that the cosmic-ray flux is mostly composed of elements heavier than protons,” says Brian Clark, an assistant professor at the University of Maryland and colead on the study. “This is a big open question and something scientists have been trying to answer for almost one hundred years.” 

Clark adds that the two other large-scale particle astrophysics experiments—the Pierre Auger Observatory and the Telescope Array—have been trying to answer the same question for almost a decade. Because they measure the cosmic-ray air showers directly, interpreting the data relies on sophisticated modeling of the nuclear physics of cosmic-ray interactions. This is where IceCube offers a complementary approach that, as described in the paper, is largely insensitive to those modeling uncertainties. This makes it an important, independent confirmation of the results obtained by air shower experiments. Brian ClarkBrian ClarkMaximilian MeierMaximilian Meier

“This is the first time a neutrino telescope has managed to do this. And it was a major promise of the discipline, so it’s very exciting to see it happen,” says Clark. 

Future studies by the IceCube Collaboration will look to machine learning in order to extract the most out of the IceCube data. 

“We are really excited to see the next generation of detectors, like IceCube-Gen2, come online, which will be ten times larger than IceCube and, therefore, significantly increase our capabilities to detect cosmogenic neutrinos in the future,” says Meier.

+ info “A search for extremely-high-energy neutrinos and first constraints on the ultra-high-energy cosmic-ray proton fraction with IceCube,” IceCube Collaboration: R. Abbasi et al. Submitted to Physical Review Letters. arxiv.org/abs/2502.01963

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Kiyong Kim Elected as a Fellow of Optica

Kiyong Kim has been selected as a 2025 Optica Fellow for his pioneering contributions to the generation and understanding of terahertz radiation from strong laser field interactions with matter.  He is one of 121 members, from 27 countries, selected for their significant contributions to the advancement of optics and photonics through education, research, engineering, business leadership and sKiyong KimKiyong Kimervice.

Kim received his B.S. from Korea University and his Ph.D. from the University of Maryland. His graduate research focused on measuring ultrafast dynamics in the interaction of intense laser pulses with gases, atomic clusters, and plasmas. This work earned him the Marshall N. Rosenbluth Outstanding Doctoral Thesis Award from the American Physical Society.

Following his doctoral studies, Kim moved to Los Alamos National Laboratory as a Director’s Postdoctoral Fellow and while there received a Distinguished Performance Award. After accepting a position as an Assistant Professor at the University of Maryland in 2008, he received a DOE Early Career Research Award and an NSF Faculty Early Career Development Award. Kim also received the departmental Richard A. Ferrell Distinguished Faculty Fellowship in 2014.

From 2021 to 2022, Kim held appointments at Gwangju Institute of Science and Technology (GIST) and the Center for Relativistic Laser Science (CoReLS) at the Korean Institute for Basic Science, leading experiments on petawatt laser-driven electron acceleration, nonlinear Compton scattering of petawatt laser pulses and GeV electrons, and high-power terahertz generation.

With colleagues in physics and the Institute for Research in Electronics & Applied Physics (IREAP), he is co-PI on a $1.61M Major Research Instrumentation (MRI) award from the National Science Foundation (NSF) to upgrade high-power laser systems at UMD.

 

Malcolm Maas Named 2025-26 Churchill Scholar

University of Maryland senior Malcolm Maas has been awarded a 2025-26 Churchill Scholarship, joining only 15 other science, engineering and mathematics students nationwide in winning the prestigious honor. 

“We could not be prouder of how Malcolm Maas represents the University of Maryland to the world,” said Amitabh Varshney, dean of UMD’s College of Computer, Mathematical, and Natural Sciences. “Malcolm is a phenomenal student researcher who is driven to understand complex world problems like climate change and provide innovative solutions to them.”Malcolm Maas. Photo courtesy of same.Malcolm Maas. Photo courtesy of same.

Maas, who plans to graduate in three years with bachelor’s degrees in atmospheric and oceanic science (AOSC) and physics, will receive full funding to pursue a one-year master’s degree at the University of Cambridge’s Churchill College in the United Kingdom. The scholarship covers full tuition, a competitive stipend, travel costs and the chance to apply for a special research grant. 

Maas plans to pursue a Master of Philosophy degree in mathematics.

“I feel incredibly honored to have received this scholarship, and I’m very grateful to everyone who has supported me on my way here,” Maas said. “I’m excited for the opportunity to explore atmospheric dynamics further and to experience Cambridge next year.”

A total of 127 nominations this year came from 82 participating institutions. Ten UMD students have been nominated in the past seven years—and nine of them have been named Churchill Scholars.

“The University of Maryland’s remarkable success in racking up Churchill Scholarships testifies to the excellence of the research opportunities and mentorship our undergraduates receive,” said Francis DuVinage, director of UMD’s National Scholarships Office. “Malcolm Maas’ record of accomplishment as a third-year senior puts him in a class by himself.”

Since 2022, Maas has been working with AOSC Associate Professor Jonathan Poterjoy on fundamental challenges associated with environmental prediction and validation of atmospheric modeling systems. Specifically, he is quantifying the degree to which commonly used data assimilation methods shift models away from physically plausible solutions due to commonly adopted but incorrect assumptions. Maas presented their work in January 2025 at the American Meteorological Society Annual Meeting.

“Malcolm initiated our research collaboration on his own and I fully expect him to draft a first-author paper that we submit for publication this year,” Poterjoy said. “I feel that Malcolm can succeed in virtually any field, and I am pleased to see that he chose a research career in atmospheric science where his talents can have broad human impact.” 

Maas’ research interests and experiences extend beyond his work with Poterjoy and currently range from weather time scales to climate time scales. 

In summer 2024, Maas interned at the University of Chicago with Geophysical Sciences Professor Tiffany Shaw, where he assessed extreme heat and atmospheric circulation trends associated with Arctic sea ice loss in climate models and observational datasets. He presented this work at the American Geophysical Union’s Annual Meeting in 2024.

In summer 2023, Maas participated in the undergraduate summer intern program at the Lamont-Doherty Earth Observatory and worked on a project with Kostas Tsigaridis, a research scientist at Columbia University and the NASA Goddard Institute for Space Studies. Maas used a large dataset of Earth system model simulations to explore the effects of volcanoes on climate and atmospheric sulfur. He used machine learning to develop a tool that estimates where unidentified historical eruptions happened based on ice core data. Maas presented this work at the European Geosciences Union’s General Assembly in 2024 in Austria.

When Maas arrived at UMD in 2022, he joined a group of AOSC students installing and managing a micronet—a small-scale network of weather sensors—across the university’s campus. Five weather stations now provide minute-by-minute updates on the temperature, wind speed, pressure, dew point and rain rate on campus. Maas helped create the data collection system and user-friendly graphs to visualize the data, which are displayed on the UMD Weather website.

When the university and the Maryland Department of Emergency Management installed their first weather tower as part of the Maryland Mesonet in 2023, they asked Maas to quickly adapt his micronet visualization tools to work with the mesonet data. The 23 towers operational around the state—with more than 70 planned—help to advance localized weather prediction and ensure the safety of Maryland's residents and visitors.

For his Gemstone honors research project, Maas and 10 teammates have been working with UMD Mechanical Engineering Professor Johan Larsson to optimize the shape of marine propellers.

In high school, Maas helped build the first global tornado climatology database. He gathered and processed historical data for over 100,000 tornadoes that occurred around the world. The project’s website raked in 160,000 page views during its first year, and the work was published in the Bulletin of the American Meteorological Society in 2024.

Outside of class, Maas plays the pipe organ, represents the Ellicott Community on the Student Government Association, tutors with the Society of Physics Students and is a member of the Ballooning Club. He received a Barry M. Goldwater Scholarship, National Merit Scholarship, President’s Scholarship and the Department of Physics’ Angelo Bardasis Scholarship.

After his time at the University of Cambridge, Maas plans to pursue a Ph.D. in atmospheric science.

Connecting the Quantum Dots

Physics Ph.D. student Anantha Rao tests ways to build bigger and better quantum computers.

Anantha Rao grew up in Bengaluru, a city known as India’s tech hub due to its bustling startup culture and many international IT corporations. While many of Rao’s peers pursued engineering and related subjects, Rao’s love of science and knack for solving mathematical problems nudged him in a different direction.

“Everyone around me was an engineer or wanted to be one, and that is one thing I did not want to be,” Rao said. “I had this rebellious nature of going against the crowd, but I also wanted to solve fundamental problems in the basic sciences for the love of it—not for immediate applications.”

Rao discovered his calling after winning a high school physics competition. As a prize, he received a book written by Richard Feynman, a theoretical physicist who laid the groundwork for the field of quantum computing more than 40 years ago, and the field’s endless applications captivated Rao.

“Quantum computing has applications in studying how drug molecules bind to receptors or decrypting credit card transactions. You could study models of how the universe was created or see how the first molecule came into the picture,” Rao said. “Using ideas from quantum mechanics and computer science, you can also build better quantum computers, which is the problem that I’m looking at today.”

Now a Ph.D. student in the University of Maryland’s Department of Physics and Joint Center for Quantum Information and Computer Science (QuICS), Rao probes the fundamental physics that could power the next generation of quantum computers. He said he’s grateful for the chance to pursue that challenge in the “Capital of Quantum” at UMD.

“UMD is one of the top schools in the world for quantum information, especially theory,” Rao said. “Ten years ago, if someone told me that I'd be here now, I would feel like it is a dream.”

Tackling malaria with tech

Before moving to the United States, Rao was a full-time physics student and part-time entrepreneur in India. While Rao was enrolled in a combined bachelor’s and master’s program at the Indian Institute of Science Education and Research Pune, he cofounded a startup to develop diagnostic tools for diseases like malaria, a mosquito-borne infection that kills an estimated 608,000 people per year, according to the U.S. Centers for Disease Control and Prevention.

The software he developed, dubbed Deep Learning for Malaria Detection (DeleMa Detect), relied on artificial intelligence (AI) to search patients’ blood smear images for the signs and stages of malaria infection. This technology is packed into a small, portable device, reducing the need for lab tests that can be costly and inaccessible in many parts of the world.

Rao’s startup received a $50,000 grant and won top prize at the International Genetically Engineered Machine (iGEM) 2021 Startup Showcase. Rao has since moved on to other projects but said his early entrepreneurial experience taught him lessons about project leadership and collaboration that he applies to his research every day.

“I learned a lot about AI during my brief stint with entrepreneurship, and that’s something I've been working on lately—using AI to solve problems in physics,” Rao said. “My main motivation now is: What are the toughest problems out there and how can I solve them?Rao at TU Delft.Rao at TU Delft.

Since joining UMD’s physics Ph.D. program in 2023, he has been working to identify—and answer—those questions, one at a time.

The making of MAViS

One of Rao’s biggest ongoing projects is a collaboration between UMD, the National Institute of Standards and Technology and Delft University of Technology in the Netherlands. He has been leading the Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays (MAViS) project, which aims to advance research that could lead to bigger and better quantum dot-based quantum computers.


Central to this concept are quantum dots, tiny semiconductor particles that serve as the building blocks of some quantum computers. These quantum computers operate at temperatures close to absolute zero, or −273.15 degrees Celsius—conditions that prompt the chips to engage in quantum mechanical behavior.

“The chips in your phone and chips in your laptop are made up of semiconductors, and similarly, we have quantum computers made out of semiconductors, except they operate at the coldest temperatures in the universe,” Rao explained. “The problem is you can't control them very well and you have a lot of unwanted interactions coming in.

To control each quantum dot, voltages must be applied to electrodes in their vicinity. Isolating this task can be tricky, though, because quantum dots are spaced just a few nanometers apart.

“What MAViS offers is a way to independently control each quantum dot in a very scalable and efficient way. This is a process called virtualization,” Rao explained. “Most importantly, it’s completely automatic. You press a button and MAViS solves a lot of equations faster than any human.”

By finding ways to offset unwanted interactions, which can introduce errors, researchers can make quantum computers run more efficiently and accurately. MAViS also uses “a little bit of AI” to enable corrections in real-time, Rao said.

Rao and his collaborators have seen encouraging results after testing MAViS on some of the world’s largest quantum dot devices in the Netherlands. MAViS successfully enabled researchers to operate and more efficiently control quantum dots, which in turn helps them control qubits—the fundamental building blocks of quantum computers.

Rao explained that one of the benefits of MAViS is that it works quickly and could free up time for researchers to focus on deeper tasks.

“We were able to do a task in about four hours that would have taken a month or two months of human effort,” Rao said. “Without MAViS, a lot of people with doctorate degrees would have needed to stare at computer screens and analyze complicated images to solve this problem. Now, researchers can automatically ‘virtualize’ their quantum dots and perform interesting experiments.”

Aside from his research with MAViS, Rao said his research on semiconductor qubits has also revealed some unusual physics, including elusive crystals made entirely of electrons.

“Another question in my research is: If you have these semiconductor quantum dots or quantum computers, what is some interesting physics that one could study in one dimension or two dimensions?” Rao said. “We've found evidence that exotic phases of matter—something called Wigner crystals—could be found in these devices.”

Giving back

As Rao dives deeper into quantum physics, he continually seeks ways to share his knowledge. MAViS and many of Rao’s past research projects involve open-source code so that the community at large can benefit.

“Since undergrad, I’ve wanted to give back to the community as I’ve learned things, and one way is through open-source projects and mentoring other students,” said Rao, who also worked as a teaching assistant and served on graduate student committees at UMD. “We hope to eventually make MAViS open source so that people anywhere in the world can build better, scalable quantum-dot quantum computers.”

After Rao graduates, he hopes to find a job that will enable him to keep tackling the big questions in quantum physics, whether that’s in academia or private industry.

“My pursuit is the best research and the best science that I can do today, and I believe that approach will give me the right opportunity in an academic lab or industry lab,” Rao said. “There are a lot of problems to solve in quantum, and I’m working toward solving them one at a time.”

Written by Emily Nunez; published March, 2025