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Bergmann Group achieves shortest hard X-ray pulses to date

Once only a part of science fiction, lasers are now everyday objects used in research, healthcare and even just for fun. Previously available only in low-energy light, lasers are now available in wavelengths from microwaves through X-rays, opening up a range of different downstream applications.”.

Profile picture of Uwe Bergmann
Uwe Bergmann
profile photo of Tom Linker
Tom Linker

In a new study published online June 11 in the journal Nature, an international collaboration led by scientists at the University of Wisconsin–Madison has generated the shortest hard X-ray pulses to date through the first demonstration of strong lasing phenomena. The resulting pulses can lead to several potential applications, from quantum X-ray optics to visualizing electron motion inside molecules.

“We have observed strong lasing phenomena in inner-shell X-ray lasing and been able to simulate and calculate how it evolves,” says Uwe Bergmann, physics professor at UW–Madison, and senior author on the study. “When you calculate the X-ray pulses that come out, they can be incredibly short — shorter than 100 attoseconds.”

An attosecond is one quintillionth of a second and this extremely short duration of the pulses is what could drive new, advanced LASER applications.

a log-scale timeline shows time in seconds from 10^-18 to 10^18. An attosecond is 1*10^-18 and the time since the big bang, which is also shown on this timeline, is 10^18 seconds, showing that an attosecond is so short it's the same relative to a second as a second is to the age of the Universe (also the text in the title)
What’s an attosecond? An attosecond is one quintillionth of a second, or one billionth of a billionth of a second, or 10^-18 seconds. Put another way, an attosecond is to one second roughly the same timescale as one second is to the age of our universe since the Big Bang. Note, the line is showing log scale. | Credit: Sarah Perdue, UW–Madison

The inner-shell X-ray lasing process is similar as in optical lasing, just at a much shorter wavelengths. An initial pulse of X-ray photons excites atoms’ inner-shell electrons. These excited electrons then emit photons of different X-ray wavelengths as they return to their state. Their emitted photons sometimes hit an already-excited atom, leading to an avalanche of stimulated emission radiation (the SER of LASER) in one direction.

Because inner-shell electrons are held very tightly, powerful X-ray pulses, like those from X-ray free-electron lasers (XFEL), are required to excite enough of them simultaneously to result in lasing. In turn, the photons they emit in this process are also at X-ray wavelengths. But XFEL pulses are generally “dirty,” with each pulse really being made of several short, intense spikes in time, and a range of spikes with different wavelengths, limiting some of their applications.

“They’re just not clean, beautiful pulses (like visible lasers),” says Thomas Linker, joint postdoctoral researcher at UW–Madison and the Stanford PULSE Institute at SLAC and lead author of the publication. “But it’s the only thing we have. We have to live with it.”

In this study, the researchers tightly focused XFEL pulses onto a sample made of copper or manganese. The input pulse is still dirty, but very short and incredibly powerful: the equivalent of focusing all the sunlight that hits the Earth into one square millimeter. The X-ray photons that the sample emits in the same forward direction as the input pulse hit a piece of instrumentation that disperses them by wavelength, much like a prism disperses visible light into a rainbow, and reflects it based on its angle. This dispersed X-ray light is next read by a detector, which measures its properties.

a blue pump beam is focused on a sample, which, if stimulated emission occurs, beams out of the sample (depicted as a red beam here). It is then reflected off a silcon analyzer that separates it based on wavelength (similar to how a prism spreads out white light into a visible rainbow) to a detector.
Experimental setup Tightly focused XFEL pulses are directed at a sample made of copper or manganese. Any X-ray photons that the sample emits in the same forward direction as the input pulse hit a piece of instrumentation that disperses them by wavelength and reflects it based on its angle. This dispersed X-ray light is next read by a detector, which measures its properties. | Credit: this study

First, the researchers confirmed that stimulated emission is occurring in their sample by measuring a strong signal in the detector.

They noticed something else about the emitted light. In terms of its light spectrum, it contained all of the expected wavelengths. Spatially, however, the team sometimes detected a few hotspots instead of the expected smooth signal. Applying a 3D simulation, Linker was able to show what was happening to lead to these results. His calculations illustrated that the emitted X-rays underwent a process that created filaments when moving through the samples.

“This is filamentation, a strong lasing phenomenon which, in optical science, is when the index of refraction changes because of this very, very strong field,” Linker says. “You get spatial phenomena leading to the observed hotspots.”

When the team further increased the intensity of their input pulse, they saw another unexpected result: instead of seeing hotspots of one wavelength, they observed spectral broadening and sometimes multiple spectral lines. They ran the simulation on this new data and realized that this result can only be explained by another lasing phenomenon called Rabi cycling, where the pulse is so strong that the sample will cyclically absorb photons and emit them by stimulated emission. They used their simulation to plot the emitted pulse intensity over time and found that their dirty input pulses resulted in extremely short stimulated emission pulses that were sometimes 60-100 attoseconds in length — the shortest hard X-ray pulses observed by anyone to date.

“We have generated hard X-ray attosecond pulses with this strong lasing phenomenon,” Linker says. “The timescale at which chemical bonds are formed and broken is the femtosecond (1,000 times longer than attosecond) timescale. But if you want to see electron dynamics, how they move inside their orbitals, that’s the attosecond timescale.”

the experimental and simulated data of the highest intensity pulses is shown as a rainbow of scattered, but organized, detected pulses. The right shows a graph of time vs intensity and shows a clearly offset stimulated emission pulse that is 60-100 attoseconds wide, indicating it's lifetime.
Generation of attosecond pulses The experimental data (left) are used in simulation (center) to plot the emitted pulse intensity over time (right). The dirty input pulse (blue line) resulted in extremely short emission pulses (red line) that were as short as 60-100 attoseconds in length. | Credit: this study

XFELs have only been around for about 15 years, so scientists are still learning about them and how to apply them. This study is not the first to “clean up” hard X-ray pulses, but it is the first to achieve emitted pulses on this timescale and to show evidence of strong lasing phenomenon.

“There are so many nonlinear technologies and phenomena that the laser community uses now, but very few of those have dared to have been tried with hard X-rays,” Bergmann says. “Hard X-rays are very powerful: they have Angstrom wavelengths that provide atomic spatial resolution, and they are sensitive to different elements. This work is a step towards pushing the exciting field of real laser science into this powerful hard X-ray regime.”

This work was largely supported by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES) under contract Nos. DE-SC0023270 and DEAC02-76SF00515. The experiments were performed at the Linac Coherent Light Source at SLAC National Accelerator Laboratory and the SACLA X-ray laser at the Japan Synchrotron Radiation Research Institute

Congrats to Prof. Rzchowski on his retirement!

profile photo of Mark Rzchowski
Mark Rzchowski

Congrats to Prof. Mark Rzchowski who has announced his retirement, effective January 17! Rzchowski is a condensed matter experimentalist who joined the department as an assistant professor in 1992 and has been a full professor since 2004. He served as Associate Chair for Undergraduate Program and Academic Affairs from 2008-10 and again from 2011-24.

When Rzchowski arrived to UW–Madison, high-temperature superconductivity had recently been discovered, and his early research largely centered on that topic, focusing on novel measurements of their fundamental physical properties.

“But I soon moved in different directions, collaborating with Chang-Beom Eom, a new faculty member in materials science and engineering expert in thin film growth,” Rzchowski recalls. “He had been working in superconductivity but had been branching out into some new systems, and we moved together in those directions.”

Rzchowski and Eom have collaborated for over two decades now, pairing forefront growth and manipulation of crystalline thin films with state-of-the art measurement approaches. Their collaboration has resulted in over 70 co-authored papers largely focused on quantum correlations and topologies in complex oxide thin-film materials. In spintronics, a technology that takes advantage of the intrinsic quantum spin state of an electron to substitute spin currents for the charge currents in “elec”tronics, they developed an all-thin-film membrane-based system that demonstrated an intrinsic coupling between voltage and spin. This helped to address a persistent problem in spintronics, namely better controlling magnetism at the nanoscale: the extreme thinness of the material allows low operating voltages to control the spin properties.

In another spintronics study in 2023, Rzchowski and Eom demonstrated uniquely oriented thin films of oxide crystals that controls the natural symmetry of the crystals, allowing them to produce vastly more useful spin currents — a critical step forward in advancing next-gen computer memory devices.

“I am so lucky to have known Mark — as a collaborator, colleague, and friend,” Eom says. “His brilliance as a scientist and kindness as a person will stay with me. I wish him happiness and fulfillment in the years ahead and I hope to continue sharing the joys of life for many years.”

two men stand in front of lab equipment
Chang Beom-Eom (left), a professor of materials science and engineering, and Mark Rzchowski, a professor of physics, in the lab. Photo: Joel Hallberg.

In 2022, Rzchowski was elected a Fellow of the American Physical Society for “pioneering discoveries and understanding of physical principles governing correlated complex materials and interfaces, including superconductors, correlated oxide systems multiferroic systems, and spin currents in noncollinear antiferromagnets.” He was nominated by the Division of Materials Physics.

Rzchowski has provided decades of service to the department, some of this time as associate chair. In this role, he led the redevelopment of several of the large courses, for example hiring course coordinators to provide consistency. He also was largely involved in the overhaul of algebra-based Physics 103 and 104, supported by the provost’s REACH initiative. REACH is designed to give students as many chances as possible to actively engage with physics principles and ideas, and to collaborate in group settings. An assessment of the program’s implementation showed a significant increase in concept mastery in these  . He has represented the department at conferences presenting the REACH implementation and analysis of learning outcomes.

In March 2020, Rzchowski successfully led the transition of every course to all-online instruction when the Covid-19 pandemic abruptly sent everyone off campus, then to hybrid online/in-person instruction as students slowly returned. More recently, he helped leverage what was learned from those semesters into offering the summer session of Physics 103, and, now this year, Physics 104, as fully online courses. These online offerings have more than tripled summer enrollments — both UW–Madison students as well as visiting students.

Rzchowski was also chair of the department’s space committee in the early 2000s and oversaw the design of new laboratory and office space in Chamberlin Hall, and the transition from Sterling Hall to Chamberlin  .

Prof. Emerit Bob Joynt, who overlapped with Rzchowski as associate chair when Joynt served as department chair from 2011-2014, says: “I worked closely with Mark Rzchowski for over 30 years. Of all my colleagues, he was the one whose advice I valued most, and the one who could most be trusted to follow through on everything he ever promised (which was a lot). He was not only a talented researcher, but he also was very generous with his time for the department, particularly the teaching program. He always did the jobs that were the most needed, usually those that were also the most thankless. So now, one last time, thank you Mark!”

Prof. Mark Eriksson, who served as department chair from 2021-2024, also overlapping with Rzchowski’s tenure as associate chair, says: “Mark Rzchowski made many contributions during his career in teaching research and service. In this last category for many years Mark served in the essential role of Associate Chair for Academic Affairs in which he solved — semester after semester — the complex riddle of matching instructors to courses in an optimal way.

 

— By Sarah Perdue, department of physics. Adam Malecek and Jason Daley of the College of Engineering contributed to this story

 

Nathan Wagner named 2025 Astronaut Scholarship Foundation scholar

This post is adapted from an announcement originally made by the Astronaut Scholarship Foundation

profile photo of Nathan Wagner
Nathan Wagner

The Astronaut Scholarship Foundation recently announced its 2025 class of Astronaut Scholars, including University of Wisconsin–Madison physics and math major Nathan Wagner.

For 2025, a total of 74 undergraduate students from 51 universities and colleges across the United States will each receive up to $15,000. ASF will present this year’s Astronaut Scholars during its Innovators Symposium & Gala featuring the Neil Armstrong™ Award of Excellence on Aug. 13-16, 2025, at the Omni Houston Hotel in Houston, Texas.

Asked what the scholarship means to him, Wagner says:

“I’m humbled to receive this award — it’s a huge honor to represent UW–Madison and its Physics Department on the national level. The Astronaut Scholarship and its benefits are very inspiring and promise to provide years of guidance and mentorship to my fellow 2025 ASF peers and I. I thank the UW–Madison ASF liaison office and its selection committee for nominating me for national consideration. I also thank the many advisors, faculty, primary investigators, supervisors, staff, mentors and family who have supported me to this time in my life. I’m sincerely grateful for the recognition and commit to supporting ASF’s challenge to continue work that will push the boundaries of science and technology.”

“I am thrilled to see Nathan Wagner receiving this recognition for his exceptional dedication and ability as an undergraduate scholar contributing at the forefront of research in atomic and quantum physics,” says UW–Madison physics professor Mark Saffman, Wagner’s research advisor.

Adds UW–Madison physics professor Deniz Yavuz, Wagner’s academic advisor, “Nathan is one of the best undergraduate students that I have ever interacted with. I expect great things from him, and he is fully deserving of this award.”

ASF’s Astronaut Scholarship is offered to junior and senior-year college students pursuing degrees in STEM. The process begins with nominations from professors or faculty members at an ASF-partnering university. Upon selection, each student receives a scholarship up to $15,000. Additional highlights include exclusive mentorship and professional networking with astronauts, alumni and industry leaders. Astronaut Scholars also take part in the Michael Collins Family Professional Development Program and receive a fully funded trip to attend ASF’s Innovators Symposium & Gala, including a technical conference where Astronaut Scholars showcase their cutting-edge research.

ASF awarded its first seven $1,000 scholarships in 1986 to pay tribute to the pioneering Mercury 7 Astronauts — Scott Carpenter, Gordon Cooper, John Glenn, Virgil “Gus” Grissom, Walter Schirra, Alan Shepard and Deke Slayton. The program was championed by the six surviving Mercury 7 Astronauts, along with Betty Grissom (widow of Gus Grissom), Dr. William Douglas (Project Mercury’s flight surgeon) and Orlando philanthropist Henri Landwirth. What began as a powerful tribute, quickly evolved into a national commitment to support exceptional college students pursuing degrees in STEM. Since then, over the past 40 years, more than $10 million has been awarded to more than 850 college students.

Summer filled with physics conferences and workshops

Summer at UW–Madison is filled with trips to the Terrace, amazing weather, and usually a break from classes. Physicists in Madison this summer can add one more thing to the list this summer: over a half dozen conferences, workshops, symposia and undergraduate research programs hosted on or near campus.

UW physics summer conference season kicks off with Quantum Summer School on May 28 and ends with Lepton-Photon on August 29. You’ll likely run into some old colleagues, or meet some new ones as they explore Chamberlin and Madison over the next few months. Learn about all our conferences offerings this year.

In addition to these conferences, Physics is also hosting two Research Experiences for Undergrads (REUs): the Open Quantum Initiative and the CMS experiment are each hosting two undergraduate students.

Matt Otten earns Air Force Young Investigator Research Program award

Matt Otten has won an Air Force Young Investigator Research Program (YIP) award, offered through the Air Force Office of Scientific Research.

The program intends to support early-career scientists and engineers who show exceptional ability and promise for conducting basic research. Nearly 40 awards were expected to be made in this cycle.

The three-year, $450,000 award will fund a postdoctoral fellow in Otten’s group, who will work on quantum characterization, verification, and validation (QCVV) of quantum computers. QCVV asks if a quantum computer is working and what the device’s limitations are, in an effort to engineer a better system in future iterations.

With any quantum computer, researchers input different tasks and calculations under different conditions, then receive back some classical data that describes the quantum state. Otten describes what happens between input and output as “a black box.”

“Our work is trying to open that black box and put in physics,” Otten says. “And we’re starting from a good place: we already have good models of what those qubits do and how they’re supposed to behave, and we can fit the parameters of the model to the observations of the data.”

Otten’s group will collaborate with experimentalists on their quantum computers. If the data fit the model, it suggests that the quantum computer is behaving as predicted and that the researchers understand the full process. But if the date do not — and given that a major impediment to quantum computing has been understanding and controlling errors, this scenario is more likely — then the researchers will need to determine why.

“That’s the goal of the research, to develop the techniques so that we can tie the errors that we see in the data to a physical source for that error, and then we can give feedback to the experimentalists,” Otten says. “And maybe they can tell me what went wrong without doing this complicated QCVV, but as we build bigger and bigger systems, this problem becomes harder to solve.”

Gage Erwin named DOE Computational Science Graduate Fellow

This post is adapted from the DOE’s announcement regarding the Computational Science Fellows

Congrats to physics PhD student Gage Erwin on being named a U.S. Department of Energy Computational Science Graduate Fellow!

Photo of Gage Erwin
Gage Erwin

The 2025-2026 incoming fellows will learn to apply high-performance computing (HPC) to research in disciplines including machine learning, quantum computing, chemistry, astrophysics, computational biology, energy, engineering and applied mathematics.

The program, established in 1991 and funded by the DOE’s Office of Science and the National Nuclear Security Administration (NNSA), trains top leaders in computational science.

“We are so pleased to congratulate the 30 new fellows,” said Ceren Susut, Associate Director of Science for DOE’s Advanced Scientific Computing Research program. “Each of these incredibly talented people has demonstrated both outstanding academic achievement and tremendous research potential. Their research topics cover some of the highest priorities of the Department of Energy, including quantum computing, artificial intelligence, and science and engineering for energy and nuclear security.”

Fellows receive support that includes a stipend, tuition, and fees, and an annual academic allowance. Renewable for up to four years, the fellowship is guided by a comprehensive program of study that requires focused coursework in science and engineering, computer science, applied mathematics and HPC. It also includes a three-month practicum at one of 22 DOE-approved sites across the country, and an annual meeting where fellows present their research in poster and talk formats.

Entrepreneur award winners turn ideas into impact — from farming to fashion to fusion

Established in 2011, the Chancellor’s Entrepreneurial Achievement Award recognizes UW–Madison innovators and alumni who have contributed to economic growth and the social good, serving as entrepreneurial models for the UW community and inspiring the campus culture of entrepreneurship.

Read the full article at: https://news.wisc.edu/entrepreneur-award-winners-turn-ideas-into-impact-from-farming-to-fashion-to-fusion/

Search for boosted Higgs advances our understanding of dark matter

This story, featuring physics graduate student Shivani Lomte, was originally published by the CMS collaboration

The CMS Collaboration hunts for Higgs bosons recoiling against dark matter particles

Shivani Lomte

Dark matter is one of the most perplexing mysteries of our universe, accounting for roughly 27% of its total energy. Dark matter does not emit, absorb, or reflect light, and is thus invisible to telescopes. However, its effects on gravitation are unmistakable. Although dark matter’s elementary nature remains unknown, scientists hypothesize that it might be made up of weakly interacting massive particles (WIMPs) that rarely interact with ordinary matter.

In the CMS experiment, we use the fundamental law of momentum conservation to infer the possible presence of dark matter in the detector. In particular the momentum in the transverse plane should be conserved before and after the proton-proton (pp) collision – in other words, the sum of all particle momenta combined should balance out. If momentum is missing, then this suggests that an ‘invisible’ particle, for instance a dark matter particle, has carried that momentum away. Since dark matter doesn’t interact with the detectors, we can’t directly observe it. To detect its presence, we use a ‘visible’ known particle that recoils against the dark matter particle, providing a detectable signal in the experiment. An example of this type of process is shown in Fig. 1.

Figure 1: An event display from the transverse plane which illustrates a signal-like event: the orange cone corresponds to a jet that recoils against missing transverse energy, represented as a magenta arrow. | Credit: CMS collaboration

In pp collisions, a photon, ‘jet’, W or Z boson can be emitted from the initial quark within the proton, whereas radiating a Higgs boson is extremely rare given its small coupling to the quarks. Higgs bosons might be preferentially emitted through a new particle acting as a ‘mediator’ between the standard model and dark matter sector. There is a unique possibility at LHC to produce the mediator particle and study its interaction with the standard model and dark matter.

This analysis uses the “mono-Higgs” signature to search for dark matter particles, focusing on two scenarios that both involve Higgs bosons decaying to bottom quarks. If the Higgs boson is highly energetic (boosted), its decay products become collimated and can be reconstructed in a single large-radius ‘jet’. Alternatively, if the Higgs is not as energetic, we instead look for two small-radius jets, one from each bottom quark. The two scenarios are illustrated in Fig. 2.

Schematic depiction of the “mono-Higgs” → bb̄ production process. On the left, the Higgs decay products merge into a large-radius jet. On the right, the Higgs decay products are reconstructed as two small-radius jets
Figure 2: Schematic depiction of the “mono-Higgs” → bb̄ production process. On the left, the Higgs decay products merge into a large-radius jet. On the right, the Higgs decay products are reconstructed as two small-radius jets. | Credit: CMS collaboration

“A key challenge in this search is that the dark matter signal is rare (at best) and well-known processes, as described in the standard model, produce very similar signatures. To reduce the backgrounds from known particles, we use distinguishing features like the momentum and energy distribution of the particles” says Shivani Lomte, a graduate student at the University of Wisconsin-Madison, leading this search. The precise estimation of the background is critical and is achieved using so called control regions in the data. Such control regions are dominated by background processes and this allows us to quantify the amount of backgrounds in the signal region where we search for dark matter.

In this analysis, once the backgrounds were well-understood, we looked for the dark matter signal by comparing the observed data distributions to the predicted backgrounds, looking for discrepancies. Unfortunately, the observed data agrees with the standard model predictions, and so we conclude that our result has no sign of dark matter. We can thus rule out those types of dark matter particles that would have been detected if they existed.

Regardless of the outcome, the search for dark matter is a journey that pushes the boundaries of human knowledge. Each step brings us closer to answering some of the most profound questions about the nature of the universe and our place within it.

Dark matter and pencil jets: The search for a low-mass Z’ boson using machine learning

a neon-colored drawing of a burst of yellow lines in a cylinder with a line transversing the centerof the cylinder with "pencil jet" on the blunt end and "missing transverse momentum" on the arrow side

This story, featuring physics grad student Abhishikth Mallampalli, was originally published by the CMS collaboration

The CMS experiment conducts the first search for dark matter particles produced in association with an energetic narrow jet—the pencil jet.

Dark matter remains one of physics’ greatest mysteries. Despite making up about 27% of the universe’s energy content, its true nature is unknown. Astonishingly, all ordinary matter—which includes stars, planets, our phones, the wires transferring data, the waves carrying WiFi, you and me—accounts for just 5% of the total energy content of our universe. If our known world is so diverse, the dark sector, which outweighs it 20-to-1, could be just as rich. At CERN’s CMS experiment, scientists are searching for dark matter particles, aiming to reveal their interactions and revolutionize our understanding of our universe.

But if dark matter is so abundant, why haven’t we detected it? As the name suggests, dark matter does not interact with light (electromagnetism) with the same strength as ordinary matter (the behavior of which is explained by the Standard Model) and, so far, is only known to interact with known particles through gravity, the weakest of the four known fundamental forces. At CMS, scientists use momentum conservation to infer the presence of dark matter: missing momentum in particle collisions (after accounting for detector mismeasurements) could signal an invisible particle, possibly dark matter, slipping away undetected.

In addition to particles that make up dark matter, there could be as yet undetected particles that mediate interactions between the dark particles and the matter particles. These are creatively called, you guessed it, mediators. Such mediators are bosons, implying that they carry integer spin quantum numbers as opposed to fermions (e.g. electrons) which have half-integer spins. One such mediator is the hypothesized Z’ boson, which is electrically neutral and has spin quantum number of 1.

Typical CMS searches focus on heavy Z’ particles in the hundreds of GeV to TeV range, but a lighter Z’ boson could also exist in the dark sector. It is typically a lot more challenging to look for such light particles due to the overwhelming background from hadronic resonances and quantum chromodynamics (QCD) processes—related to the strong nuclear force—which are poorly modeled at low energies. This is where techniques like data augmentation and machine learning can be utilized, enhancing sensitivity to Z’ decays while suppressing known background processes.

The Z’ boson mass that we are looking for in this search is around 1 GeV, and because of the low mass and high boost (momentum) of the Z’ boson, it can only decay to light quarks (u, d, s), which then hadronize to form a jet (a spray of particles) with a lower number of constituents than usual. We then look for dark matter recoiling against such a narrow jet (called a pencil jet). This is the first search at the LHC for this signal. Various selections are applied to reduce the background processes while retaining the signal process and a combination of neural networks and boosted decision trees are used to further extract the signal. Multiprocessing techniques are used to speed up the processing time of the events.

“The main challenge in this analysis of real-world data was that the physically motivated input features aren’t typically well modeled in our simulations and so we had to take steps to ensure model robustness. We showed that using machine learning can help us achieve up to 10 times more sensitivity to these rare signal processes compared to traditional strategies” says Abhishikth Mallampalli, a graduate student at the University of Wisconsin-Madison, leading this search. Statistical hypothesis testing is used to determine whether the observed data agrees with the standard model prediction or suggests the presence of a dark matter signal.

We see that the data agrees well with the standard model expectation across the three years of proton-proton collision data analyzed. While this means that such a Z’ boson with the probed light masses might not exist in our universe at the 95% confidence level, null results in such searches for dark matter not only solidify the standard model but also serve as guidance to theorists in building new physics models for dark matter, and help experimentalists to identify the direction for future searches.

UW–Madison scientists part of team awarded Breakthrough Prize in Physics

hundreds if not thousands of people stand in front of the CMS detector

A team of 13,508 scientists, including over 100 from the University of Wisconsin–Madison, won the 2025 Breakthrough Prize in Fundamental Physics, the Breakthrough Prize Foundation announced April 5. The Prize recognized work conducted at CERN’s Large Hadron Collider (LHC) between 2015 and 2024.

The Breakthrough Prize was created to celebrate the wonders of our scientific age. The $3 million prize will be donated to the CERN & Society Foundation, which offers financial support to doctoral students to conduct research at CERN.

Four LHC projects were awarded, including ATLAS and CMS, both of which UW–Madison scientists work on. ATLAS and CMS jointly announced the discovery of the Higgs boson in 2012, and its discovery opened up many new avenues of research. In the years since, LHC researchers have worked towards a better understanding of this important particle because it interacts with all matter and gives other particles their mass. Both teams are actively engaged in analyzing LHC data in search of exciting and new physics.

“The LHC experiments have produced more than 3000 combined papers covering studies of electroweak physics and the Higgs boson, searches for dark matter, understanding quantum chromodynamics, and studying the symmetries of fundamental physics,” says CMS researcher Kevin Black, chair of the UW–Madison department of physics. “This work represents the combined contributions of many thousands of physicists, engineers, and computer scientists, and has taken decades to come to fruition. We are all very excited to be recognized with this award.”

thousands of people stand as a group in front of some vaguely science-y looking (and very large!) equipment
Over 13,000 LHC researchers were awarded the 2025 Breakthrough Prize, including a subset of the ATLAS team seen here. | Source: CERN

ATLAS and CMS have generally the same research goals, but different technical ways of addressing them. Both detectors probe the aftermath of particle collisions at the LHC and use the detectors’ high-precision measurements to address questions about the Standard Model of particle physics, the building blocks of matter and dark matter, exotic particles, extra dimensions, supersymmetry, and more.

The ATLAS team at UW–Madison has taken a leadership role in both physics analyses and computing. They have spearheaded precision measurements of the Higgs boson’s properties and conducted extensive searches for new physics, including Dark Matter, achieving major sensitivity gains through advanced AI and machine learning techniques. In addition to leading developments in computing infrastructure, the team has played a crucial role in the High-Level Trigger system and simulation efforts using generative AI, further enhancing the experiment’s capabilities.

The CMS team at UW–Madison has played and continues to play key roles in trigger electronics systems, which are ways of sorting through the tens of millions of megabytes of data produced each second by a collider experiment and retaining the most meaningful events. They also manage a large computing cluster at UW-Madison, contribute to the building and operating of muon detectors, make key contributions to CMS trigger and computing operations, and develop physics analysis techniques including AI/ML. The CMS group efforts are well recognized in the recently published compendium of results, dubbed, the Stairway to Heaven.

CMS and ATLAS research at UW–Madison is largely supported by the U.S. Department of Energy, with additional support from the National Science Foundation.


The following people had a UW–Madison affiliation during the time noted by the Prize:

Current Professors

Kevin Black, Tulika Bose, Kyle Cranmer, Sridhara Dasu, Matthew Herndon, Sau Lan Wu

Current PhD Physicists

Pieter Everaerts, Matthew Feickert, Camilla Galloni, Alexander Held, Wasikul Islam, Charis Koraka, Abdollah Mohammadi, Ajit Mohapatra, Laurent Pétré, Deborah Pinna, Jay Sandesara, Alexandre Savin, Varun Sharma, Werner Wiedenmann

Current Graduate Students

Anagha Aravind, Alkaid Cheng, He He, Abhishikth Mallampalli, Susmita Mondal, Ganesh Parida, Minh Tuan Pham, Dylan Teague, Abigail Warden

Current Engineering Staff

Shaojun Sun

Current Emeriti

Sunanda Banerjee (Senior Scientist), Richard Loveless (Distinguished Senior Scientist),  Wesley H. Smith (Professor)

Alumni

Michalis Bachtis (Ph.D. 2012), Swagato Banerjee (Postdoc 2015), Austin Belknap (Ph.D. 2015), James Buchanan (Ph.D. 2019), Cecile Caillol (Postdoc), Duncan Carlsmith (Professor), Maria Cepeda (Postdoc), Jay Chan (Ph.D. 2023), Stephane Cooperstein (B.S. 2014), Isabelle De Bruyn (Scientist), Senka Djuric (Postdoc), Laura Dodd (Ph.D. 2018), Keegan Downham (B.S. 2020), Evan Friis (Postdoc), Bhawna Gomber (Postdoc), Lindsey Gray (Ph.D. 2012), Monika Grothe (Scientist), Wen Guan (Engineer with PhD 2022), Andrew Straiton Hard (Ph.D. 2018), Yang Heng (Ph.D. 2019), Usama Hussain (Ph.D. 2020), Haoshuang Ji (Ph.D. 2019), Xiangyang Ju (Ph.D. 2018), Laser Seymour Kaplan (Ph.D. 2019), Lashkar Kashif (Postdoc 2019), Pamela Klabbers (Scientist), Evan Koenig (BS 2018, Intern), Amanda Kaitlyn Kruse (Ph.D. 2015), Armando Lanaro (Senior Scientist), Jessica Leonard (Ph.D. 2011), Aaron Levine (Ph.D. 2016), Andrew Loeliger (Ph.D. 2022), Kenneth Long (Ph.D. 2019), Jithin Madhusudanan Sreekala (Ph.D. 2022) Yao Ming (Ph.D. 2018), Isobel Ojalvo (Ph.D. 2014, Postdoc), Lauren Melissa Osojnak (Ph.D. 2020), Tom Perry (Ph.D. 2016), Elois Petruska (BS, 2021), Yan Qian (Undergraduate Student 2023), Tyler Ruggles (Ph.D. 2018, Postdoc), Tapas Sarangi (Scientist), Victor Shang (Ph.D. 2024), Manuel Silva (Ph.D. 2019), Nick Smith (Ph.D. 2018), Amy Tee (Postdoc, 2023), Stephen Trembath-Reichert (M.S. 2020),  Ho-Fung Tsoi (Ph.D. 2024), Devin Taylor (Ph.D. 2017), Wren Vetens (Ph.D. 2024), Alex Zeng Wang (Ph.D. 2023), Fuquan Wang (Ph.D. 2019), Nate Woods (Ph.D. 2017), Hongtao Yang (Ph.D. 2016), Fangzhou Zhang (Ph.D. 2018), Rui Zhang (Postdoc, 2025), Chen Zhou (Postdoc 2021)