LIGO Detects Most Massive Binary Black Hole to Date

Written by Selena Langner (original story)

The Laser Interferometer Gravitational-Wave Observatory (LIGO)’s LIGO-Virgo-KAGRA (LVK) collaboration has detected an extremely unusual binary black hole merger — a phenomenon that occurs when two black holes are pulled into each other’s orbit and combine. Announced yesterday in a California Institute of Technology press release, the binary black hole merger, GW231123, is the largest ever detected with gravitational waves.

Before merging, both black holes were spinning exceptionally fast, and their masses fell into a range that should be very rare — or impossible. 

“Most models don’t predict black holes this big can be made by supernovas, and our data indicates that they were spinning at a rate close to the limit of what’s theoretically possible,” says Margaret Millhouse, a research scientist in the School of Physics who played a key role in the research. “Where could they have come from? It raises interesting questions.”

A binary black hole merger absorbs characteristics from both of the contributors, she adds. “As a result, this is not only the most massive binary black hole ever seen but also the fastest-spinning binary black hole confidently detected with gravitational waves.”

“GW231123 is a record-breaking event,” says School of Physics Professor Laura Cadonati, who has been a member of the LIGO Scientific Collaboration since 2002. “LIGO has been observing the cosmos for 10 years now. This discovery underscores that there is still so much that this instrument can help us learn.”

A Cosmic View

The findings challenge current theories on how smaller black holes form, says School of Physics Assistant Professor and LIGO collaborator Surabhi Sachdev. Smaller black holes are the result of supernovae: dying and collapsing stars. During that collapse, explosions can tear apart or eject part of the star’s mass — limiting the size of the black hole that forms.

“Black holes from supernovae can weigh up to about 60 times the mass of our Sun,” she says. “The black holes in this merger were likely the mass of hundreds of suns.”

Because of its size, GW231123 also allowed the team to study the merger in unprecedented detail. “LIGO has observed scores of black hole mergers,” says Cadonati. “Of these, GW231123 has provided us with the clearest view of the ‘grand finale’ of a merger thus far. This adds a new clue to solve the puzzle that are black holes, including their origins and properties.”

“While we saw that our expectations matched the data, the extreme nature of this event pushed our models to their limits,” Millhouse adds. “A massive, highly spinning system like this will be of interest to researchers who study how binary black holes form.”

Decoding a Split-Second Signal

Millhouse and School of Physics Postdoctoral Fellow Prathamesh Joshi used Einstein’s equations for general relativity to confirm LIGO’s detections.

To find black holes, LIGO measures distortions in spacetime — ripples that are created when two black holes collide. These patterns in gravitational waves can be used to find the signature signal of black hole collisions. 

“In this case, the signal lasted for just one-tenth of a second, but it was very clear,” says Joshi. “Previously, we designed a special study to detect these interesting signals, which accounted for all the unusual properties of such massive systems — and it paid off!”

“To ensure it wasn’t noise, the Georgia Tech team first reconstructed the signal in a model-agnostic way,” Millhouse adds. “We then compared those reconstructions to a model that uses Einstein’s equations of general relativity, and both reconstructions looked very similar, which helped confirm that this highly unusual phenomenon was a genuine detection.”

Sachdev says that seeing the signal at both LIGO Observatories — placed in Hanford, Washington and Livingston, Louisiana — was also critical. “These short signals are very hard to detect, and this signal is so unlike any of the other binary black holes that we’ve seen before,” she says. “Without both detectors, we would have missed it.”

A Decade of Discovery

While the team has yet to determine how the original black holes formed, one theory is that they may have resulted from mergers themselves. “This could have been a chain of mergers,” Sachdev explains. “This tells us that they could have existed in a very dense environment like a nuclear star cluster or an active galactic nucleus.” Their spins provide another clue as spinning is a characteristic usually seen in black holes resulting from a merge.

The team adds that GW231123 could provide clues on how larger black holes are formed — including the mysterious supermassive black holes at the center of galaxies.

“Gravitational wave science is almost a decade old, and we’re still making fundamental discoveries,” says Millhouse. “It’s exciting that LIGO is continuing to detect new phenomena,  and this is at the edge of what we’ve seen thus far. There’s still so much we can learn.”

The team expects to update their catalogue of black holes in August 2025, which will provide another window into how this exceptionally heavy black hole might fit into the universe, and what we can continue to learn from it.

Funding: The LIGO Laboratory is supported by the U.S. National Science Foundation and operated jointly by Caltech and MIT.

Cole Faggert Receives NASA FINESST Fellowship

Cole Faggert, a Ph.D. student of professor Feryal Özel, has been selected for the Future Investigators in NASA Earth and Space Science and Technology (FINESST) program. The FINESST program awards funding for research projects that are designed and executed by graduate students and contribute to NASA’s science, technology and exploration goals. This fellowship will cover three years of funding for him to complete his thesis project, Multiwavelength Models for Single and Binary Black Hole
Accretion for Future Missions
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Snigdaa Sethuram selected as Argonne’s Margaret Butler Fellow

Accelerating Astrophysics with AI: A Q&A with Snigdaa Sethuram, Argonne’s Margaret Butler Fellow

Author: Logan Ludwig. Published 06/30/2025 (original link)

In this Q&A, Sethuram shares insights into how she is using machine learning to study the early universe, the mentors who inspired her journey, and her aim to develop scalable tools for the scientific community.

The Argonne Leadership Computing Facility (ALCF), a U.S. Department of Energy (DOE) user facility located at DOE’s Argonne National Laboratory, has named postdoctoral researcher Snigdaa Sethuram the latest recipient of its Margaret Butler Fellowship in Computational Science. 

Sethuram, a computational astrophysicist, specializes in developing machine learning (ML) models to accelerate complex simulations of cosmic phenomena—from star formation to radiative transfer. She completed her graduate studies at Georgia Tech as a NASA FINESST fellow in Dr. John Wise’s computational cosmology group. Her work has led to performance improvements in modeling stellar feedback and spectral energy distributions, making simulation processing faster without sacrificing accuracy. 

The Margaret Butler Fellowship honors the legacy of Dr. Margaret Butler, a pioneering leader in computational science and nuclear energy who broke barriers as Argonne’s National Energy Software Center director and the first woman named a Fellow of the American Nuclear Society. 

In this Q&A, Sethuram reflects on her early inspiration from her mother’s love of coding, her research journey through the cosmos, and her vision for fostering scientific collaboration during her time at ALCF. 

Q: What drew you to apply for the Margaret Butler Fellowship? 

What drew me to the Margaret Butler Fellowship was how well it matched my goal of doing meaningful, high-impact work in computational science. Argonne’s leadership in high-performance computing (HPC) offers an incredible chance to work on transformative, exciting problems while learning from some of the best in the field. 

I was also really inspired by Dr. Margaret Butler’s legacy; not just as a pioneer in computational science, but as someone who opened doors for women in STEM. Being a recipient of a fellowship named after her feels both professionally meaningful and personally motivating. It reminds me of the kind of researcher and collaborator I hope to be—curious, rigorous, and committed to making science more inclusive. 

This fellowship felt like a great opportunity to grow as a scientist while contributing to work that matters. I’m excited to be part of something that blends technical challenge with broader impact. 

Q: What initially sparked your interest in the field of computer science? 

My interest in computer science started with my mom. She had a master’s in computer applications and, even while raising me and my brother, never stopped learning. I’d watch her casually mess with Python and C, which made me curious. In middle school, I tried reading her C manual, was completely lost, and swore coding wasn’t for me. But that changed in high school when I took a computer science course where we made small JavaScript programs, like a crab solving math puzzles to fight a starfish, and coding started to make sense. It felt like a game where logic and creativity came together. 

By college, I was hooked on the puzzle-solving side of programming and joined a computational astrophysics research group under Dr. Rachel Somerville, where I got to use code to study real science. Now, the thing that once intimidated me feels like a tool I can use to build and explore. That spark of turning ideas into solutions is what still drives my excitement for computer science. 

Q: What do you plan to do during your time in the fellowship?  

During my graduate research in Dr. John Wise’s group, I focused on using ML to make cosmological simulations, like those modeling the formation of the first stars and galaxies during the universe’s ‘epoch of reionization’, more efficient. By applying ML techniques, my work helped cut down on the heavy computational cost and time these simulations usually require, which has already shown promise in specific projects within my research group. 

Through the fellowship, I’d love to scale these approaches to tackle even bigger astrophysical challenges to benefit the wider community—like developing tools to streamline the comparison of simulations directly with real observational data. Bridging that gap between simulation experts and observers could help us all speak the same scientific ‘language,’ making collaborations smoother and insights faster and facilitating accelerated theory validation as we continue to launch more cutting-edge observatories. I’m very excited to learn from the expertise of the scientists at Argonne who have worked on similar projects with great success! 

Beyond the technical work, I’m eager to dive into Argonne’s collaborative culture. I hope to organize or contribute to workshops that share these computational tools with others, mentor students, and get involved in local Chicago outreach, especially with younger students still exploring their interests. Science communication is something I care deeply about, and I want to make complex topics like cosmic evolution feel accessible and exciting. 

This fellowship feels like the perfect launchpad to grow my technical toolkit, collaborate across fields, and turn research into real-world impact—all while honoring Margaret Butler’s legacy of innovation and mentorship. 

Q: Can you tell us about your current research project(s)? 

My current research focuses on using machine learning to speed up astrophysical simulations and data processing. The project I most recently worked on involved training a spatiotemporally-aware neural network to emulate stellar feedback—how stars inject energy into their surroundings. In traditional simulations, this process is handled by subgrid algorithms that rely on recursive PDEs and numerical integration to represent unresolved physics. These methods can become very computationally taxing as simulations progress and more stars form. The ML-based emulator I developed offers a faster, lower-cost alternative. 

During my predoctoral fellowship at the Flatiron Institute’s Center for Computational Astrophysics, I also developed a radiative transfer emulator. This model takes in global galaxy properties like stellar mass and star formation rate and outputs spectral energy distributions (SEDs) across UV to IR wavelengths. It achieves up to 91% accuracy and runs about 10 million times faster than traditional SED codes—cutting months of compute time down to seconds. 

Outside of these, I’ve had the opportunity to work on projects probing different astrophysical regimes and have found my niche in ML applications to astrophysical simulations, modeling, and data analysis. What excites me is how these tools let us ask bigger questions. Instead of waiting for simulations to finish, we can iterate faster, test varied ideas, and compare models to observations in real time to draw stronger connections between theory and observation. 

Q: Can you tell us about your research and use of HPC before coming to ALCF? 

HPC has been central to my research from the beginning. As an undergrad, I got my start running radiative transfer calculations, and in grad school, HPC became essential to everything from training ML models that emulate star formation to analyzing terabytes of simulation data and running full-suite radiative transfer. 

As my work has scaled, so has HPC. The tools that once felt cutting-edge now seem basic compared to today’s systems with smarter resource management, improved energy efficiency, and more user-friendly interfaces. Modern environments have made it easier to focus on the science rather than troubleshooting infrastructure.  

Looking ahead, I’m excited by the chance to work with ALCF’s next-gen systems. Access to this kind of hardware isn’t just a technical advantage. It’s an opportunity to accelerate research, streamline workflows, and contribute to a sustainable, collaborative future for computational science. 

Q: What are you most looking forward to while working at the ALCF? 

I am most eager to engage with the vibrant intellectual community and cutting-edge resources at the ALCF. While the opportunity to work with world-class supercomputing infrastructure is undeniably thrilling, I am equally motivated by the prospect of collaborating with Argonne’s exceptional scientists and engineers. In my few interactions with Argonne scientists thus far, I’ve been struck by the culture of openness, interdisciplinary curiosity, and shared commitment to advancing both computational science and its real-world applications. 

Learning from leaders at the forefront of HPC and computational modeling will be invaluable to my growth. I look forward to absorbing insights through collaborative projects, thoughtful dialogue, and observing how experts navigate complex technical and scientific challenges. My goal is to contribute meaningfully to this ecosystem by leveraging ALCF’s resources to tackle problems in astrophysics and beyond.  

I am excited to grow as a researcher within this environment and to help push the boundaries of what computational science can achieve. 

Q: Outside of the professional sphere, what can you tell us about yourself – unique hobbies, favorite places, etc.? Is there anything about you your colleagues might be surprised to learn? 

Outside of research, my life has been shaped by a blend of cultural exploration, creative pursuits, and a deep love for animals. I’ve been fortunate to experience diverse communities and traditions which have instilled both adaptability and a curiosity for connecting with people across cultures—a skill I cherish in collaborative environments. 

One constant throughout my journeys has been my passion for Indian classical dance and music, which I’ve practiced for over two decades. Today, I channel this creativity by teaching dance in my spare time to keep the creative juices flowing, but art, in all forms, is a grounding force for me—whether I’m (amateurly) experimenting with calligraphy, sculpting clay, or sewing handmade gifts. 

Another meaningful part of my life is fostering rescue dogs and cats. Over the past six years, caring for animals in transition has given me so much joy. While I once dreamed of veterinary medicine, I found my calling in astrophysics, where I can channel my care for ‘living systems’ into studying cosmic ones. 

College of Sciences Welcomes New Astrophysics Major, Minor

The School of Physics will launch the new B.S. in Astrophysics program in summer 2025. This new major is the latest addition to the College of Sciences’ academic offerings and responds to increased student demand for courses and research opportunities in astrophysics. A minor in astrophysics will also be offered starting next summer.

According to David Ballantyne, associate chair for Academic Programs and professor in the School of Physics, the new major is unique because it focuses on the future of astronomy and astrophysics, especially in the era of discoveries made by the James Webb Space Telescope and the Laser Interferometer Gravitational-Wave Observatory (LIGO).

“We made a concerted effort when crafting this degree to make it modern and forward-facing,” says Ballantyne. “It is very much focused on the next decade of astronomy and astrophysics, providing a strong emphasis on computational skills, data analysis, and big data.”

The new degree includes coursework on the fundamental physical processes and laws that govern planetary systems, stars, galaxies, and the Universe as a whole. These core topics are complemented by training in computational and data analysis techniques that can be applied to a variety of disciplines. 

For Ballantyne, the degree program should appeal to students who are interested in pursuing careers in space science research as well as those interested in non-research career paths. 

“This program prepares students to solve complex problems in a very quantitative, rigorous way. Such problem solving and computational skills are highly marketable for a range of career paths,” he adds.

The evolution of astrophysics at Tech 

While astronomy coursework and outreach have long existed at the Institute, astrophysics officially began in 2008, when the School of Physics launched the Center for Relativistic Astrophysics (CRA). Today, the Center boasts more than a dozen faculty and research scientists, with expertise spanning high-energy astrophysics, extrasolar planets, gravitational-wave astronomy, and astroparticle physics.

As the CRA’s faculty roster grew, the School expanded its offering of astrophysics courses. A concentration in astrophysics for physics majors was launched during the 2013-14 academic year. A short time later, the School introduced an astrophysics certificate for non-majors. The new astrophysics major and minor — which will replace the concentration and certificate, respectively — reflects a new chapter in the history of astrophysics education and research at Georgia Tech.  

“Most of our peer institutions have an astronomy or astrophysics degree so the creation of this program at Georgia Tech was a natural fit,” says Ballantyne. “Our program fills a critical need considering that there are few options in the U.S. Southeast for students to obtain this type of training at an institution of Georgia Tech’s caliber.”

Declaring the astrophysics major and minor

Current students

Current students can declare the astrophysics major starting next semester, following the standard major change process for undergraduates. The astrophysics minor will be available to all Georgia Tech undergraduates starting summer 2025.

Incoming students

Astrophysics will be added to the list of majors beginning with the admissions application for Summer 2025 (transfer students) and the 2026-27 academic year (first-year students). 

In the interim, transfer students enrolling for the Spring 2025 semester should follow the standard major change process for undergraduates. Students applying to Georgia Tech for the 2025-26 academic year should select “physics” as their major during the application process and choose “astrophysics” once admitted, during the major confirmation process. 

Ph.D. Student Julia Speicher Awarded KITP Graduate Fellowship

Julia Speicher has been awarded the KITP Graduate Fellowship.

Julia Speicher, a fifth-year Ph.D. graduate student of Professor David Ballantyne, has received the competitive Kavli Institute for Theoretical Physics (KITP) Graduate Fellowship. As a part of Speicher’s fellowship, she will be a fully-funded resident of KITP from January to June 2024. There she will broaden her knowledge of the latest advances in astrophysics, overlapping with several long-term programs held at KITP at the University of California at Santa Barbara, under the mentorship of Prof. Omar Blaes.

Speicher studies the X-ray bursts from neutron stars, using sophisticated simulations on high-performance computing platforms. These simulations evolve the accretion disk around a neutron star, including the effects of general relativity, radiation transport, and hydrodynamics. Speicher has published three journal articles to date and has presented her work at several international conferences. Her research on X-ray bursts is essential to explain and interpret these observed extreme events and to understand the inner workings of accretion flows in a strong gravity regime near neutron stars.