A Voyage into the Invisible Universe
By Meghna Bhattacharya, Postdoctoral Research Associate, Fermi National Accelerator Lab
At the heart of every great expedition, from Columbus sailing into uncharted seas to Galileo raising his telescope to the night sky, was the same irresistible drive: the desire to understand more about the world we live in. Could you reach the East by sailing West? What were those distant points of light beyond our reach? These questions captured imaginations not only because of the maps and observations they produced, but because they reflected our instinct to explore the unknown.
Today, particle physics continues that same voyage of discovery. Instead of crossing oceans or observing planets, we explore the invisible structure of the universe itself. We travel across frontiers that no ship or telescope can reach: the smallest distances, the highest energies, the earliest moments after the Big Bang. Like the explorers before us, we venture into the unknown not only to find what is new, but to better understand our place in the vast story of the cosmos.
My own voyage of discovery begins deep underground, in a giant detector filled with liquid argon, the DUNE experiment. Here, we will wait for the faintest signals from the universe: neutrinos released in the final moments of a dying star. These tiny particles are the universe’s quietest messengers. They escape from stellar explosions long before light does, carrying information from regions no telescope can see. If we can capture and understand them, we can witness the birth of a neutron star or black hole in real time, something humanity has never done before.
But detecting those elusive particles is like looking for a needle in a haystack. The faint footprints left by a burst of supernova neutrinos may be buried among countless other marks recorded by the detector. In the event of a supernova, the massive DUNE detector will produce a flood of information. To find the needle in that haystack, we need tools as precise and tireless as the phenomena we’re chasing. That’s where my research comes in.
I develop artificial intelligence tools to identify neutrino candidates from supernova explosions
These AI tools learn to recognize the subtle signatures of neutrinos while filtering out everything else, like recognizing the single flicker of a firefly against a field of New York City lights. In practice, my work combines physics and computing in equal measure: understanding how neutrinos interact in liquid argon while designing AI systems that can process enormous datasets in real time. Each model we train is a compass guiding us through the vast sea of data that modern experiments generate.
What fascinates me most about neutrinos is their paradoxical nature. They are both everywhere and almost undetectable, passing through entire planets without leaving a trace. Yet within that silence lies a story. When a supernova explodes, it releases a flood of neutrinos carrying encoded information about the star’s life and death. They behave like cosmic black boxes, preserving a record of the universe’s most violent and mysterious events. Decoding those signals could tell us not only how stars die, but how the elements that make up our world were forged.
My research also connects to a broader effort known as multi-messenger astronomy, where signals from different cosmic messengers such as neutrinos, gravitational waves, and light, are combined to form a complete picture of the universe. Detecting the next galactic supernova will be a defining moment for this new field. Neutrinos, gravitational waves, and optical observatories’ images of starlight will together help us piece together one of the most profound puzzles in science: what really happens when a massive star dies? Each signal is a fragment of the same cosmic story.
In that sense, my work is part of a modern expedition, not across oceans or continents, but across domains of knowledge. We are explorers of the unseen, charting territories measured not in miles but in milliseconds and mega-electronvolts. Every model trained, every dataset analyzed, is a step further into that unknown. Like the explorers who once mapped the Earth and the astronomers who first charted the stars, we too are guided by the same enduring force: the human drive to discover.
The Journey Continues
Every generation has its frontiers. For Columbus, it was the edge of the known world; for Galileo, it was the edge of the visible sky. For us, it lies within, in the invisible particles and forces that shape everything around us. The instruments have changed, but the motivation remains the same: a deep, almost instinctive need to understand our universe and our place within it.
My work with DUNE is one small chapter in that long human story. Each AI tool we train, each signal we decode, carries the same sense of adventure that once sent explorers to sea or astronomers to the stars. We are charting the unknown in data, following faint traces of neutrinos across vast distances of time and space, hoping they will reveal how the cosmos works at its most fundamental level.
What moves me most is that this exploration connects us all. A supernova that explodes halfway across the galaxy sends neutrinos that may reach our detectors here on Earth, a silent bridge between the death of a star and the curiosity of humankind. To me, that’s the beauty of science: it reminds us that even the faintest signals can link distant worlds and moments together. The journey never truly ends; it only changes direction, from oceans to atoms, from stars to data. Each discovery opens a new horizon, inviting the next question, the next explorer, the next voyage. And as long as we keep asking what lies beyond, the map of our understanding will continue to grow, one signal, one idea, one particle at a time.
Acknowledgements: This essay was written for the Science Policy & Advocacy for Research Competition (SPARC) at the Universities Research Association.
