Podcast

Deep within the ice covering the South Pole, thousands of sensitive cameras strain their digital eyes in search of a faint blue glow—light that betrays the presence of high-energy neutrinos.

For this episode, Chris sat down with UMD graduate student Liz Friedman and physics professor Kara Hoffman to learn more about IceCube, the massive underground neutrino observatory located in one of the most desolate spots on Earth. It turns out that IceCube is blind to the highest-energy neutrinos, and Friedman is heading down to the South Pole to help install stations for a new observatory—the Askaryan Radio Array—which uses radio waves instead of blue light to tune into the whispers of these ghostly visitors.

Trey Porto, a NIST physicist and Fellow of the Joint Quantum Institute, spends his days using atoms and lasers to study quantum physics. But even outside of the lab, he views the world as one great physics problem to tackle. So one morning when he spotted some sunlight dancing across his wall, he couldn’t help but dive in and calculate its movements. He then took his project a step further and began constructing a sundial. Emily sat down with Porto to hear about his clock-making hobby and how today’s time-keeping differs from its ancient counterparts.

This episode of Relatively Certain was produced by Emily Edwards and Chris Cesare. It features music by Dave Depper and Poddington Bear. Relatively Certain is a production of the Joint Quantum Institute, a research partnership between the University of Maryland and the National Institute of Standards and Technology, and you can find it on iTunes, Google Play or Soundcloud.

A little more than a hundred years ago, Albert Einstein worked out a consequence of his new theory of gravity: Much like waves traveling through water, ripples can undulate through space and time, distorting the fabric of the universe itself.

Today, Rainer Weiss, Barry C. Barish and Kip S. Thorne were awarded the 2017 Nobel Prize in Physics for decades of work that culminated in the detection of gravitational waves in 2015—and several times since—by the Laser Interferometer Gravitational-Wave Observatory (LIGO).

Emily and Chris sat down with UMD physics professor Peter Shawhan, a member of the LIGO collaboration, to learn more about gravitational waves and hear a sliver of the story behind this year's Nobel Prize.

This episode of Relatively Certain was produced by Chris Cesare and Emily Edwards. It features music by Dave Depper. Relatively Certain is a production of the Joint Quantum Institute, a research partnership between the University of Maryland and the National Institute of Standards and Technology, and you can find it on iTunes, Google Play or Soundcloud.

More than 300 feet underground, looping underneath both France and Switzerland on the outskirts of Geneva, a 16-mile-long ring called the Large Hadron Collider (LHC) smashes protons together at nearly the speed of light. Sifting through the wreckage, scientists have made some profound discoveries about the fundamental nature of our universe.

But what if all that chaos underground is shrouding subtle hints of new physics? David Curtin, a postdoctoral researcher at the Maryland Center for Fundamental Physics here at UMD, has an idea for a detector that could be built at the surface—far away from the noise and shrapnel of the main LHC experiments. The project, which he and his collaborators call MATHUSLA, may resolve some of the mysteries that are lingering behind our best theories.

This episode of Relatively Certain was produced by Chris Cesare, Emily Edwards, Sean Kelley and Kate Delossantos. It features music by Dave Depper, Podington Bear, Broke for Free, Chris Zabriskie and the LHCsound project. Relatively Certain is a production of the Joint Quantum Institute, a research partnership between the University of Maryland and the National Institute of Standards and Technology, and you can find it on iTunes, Google Play or Soundcloud.

What makes a university physics lab tick? Sean Kelley grabs a mic and heads to a lab that's trying to build an early quantum computer out of atomic ions. Marko Cetina and Kai Hudek, two research scientists at the University of Maryland who run the lab, explain what it takes to keep things from burning down and muse about the future of quantum computers.

This is the first installment of Labs in Real Life—Labs IRL, for short—a recurring segment on Relatively Certain that will explore what it's actually like to work in a university lab. (The work in this lab is supported by the Intelligence Advanced Research Projects Activity (IARPA) LogiQ Program through the U.S. Army Research Office.)

This episode of Relatively Certain was produced by Sean Kelley, Emily Edwards and Chris Cesare. It features music by Dave Depper, dustmotes and Podington Bear. Relatively Certain is a production of the Joint Quantum Institute, a research partnership between the University of Maryland and the National Institute of Standards and Technology, and you can find it on iTunes, Google Play or Soundcloud.

Modern computers, which dwarf their forebears in speed and efficiency, still can't conquer some of the hardest computational problems. Making them even faster probably won't change that.

Computer scientists working in the field of computational complexity theory explore the ultimate limits of computers, cataloguing and classifying a universe of computational problems. For decades, they’ve been stuck on a particular nagging question, which boils down to this: What’s the relationship between solving a problem and checking your work?

Chris Cesare teams up with Emily Edwards and QuICS postdoctoral researcher Bill Fefferman to explain what this question entails and how researchers are tackling it with tools from physics.

This episode of Relatively Certain was produced and edited by Chris Cesare, with contributions from Emily Edwards, Sean Kelley and Kate Delossantos. It features music by Dave Depper, Podington Bear, Kevin MacLeod and Little Glass Men. Relatively Certain is a production of the Joint Quantum Institute, a research partnership between the University of Maryland and the National Institute of Standards and Technology, and you can find it on iTunes, Google Play or Soundcloud.

In our own galaxy and beyond, violent collisions fling a never-ending stream of stuff at the earth, and astrophysicists are eager to learn more about the processes that produce this cosmic barrage.

In many situations, chaos makes it nearly impossible to predict what will happen next. Nowhere is this more apparent than in weather forecasts, which are notorious for their unreliability. But the clever application of artificial intelligence can help reign in some chaotic systems, making them more predictable than ever before.

In this episode of Relatively Certain, Dina sits down with Michelle Girvan, a physics professor at the University of Maryland (UMD), to talk about how artificial intelligence can help predict chaotic behavior, as well as how combining machine learning with conventional physics models might yield even better predictions and insights into both methods.

This past March, NIST Fellows Joseph Reader and Charles Clark co-authored an article in Physics Today: "1932, a watershed year in nuclear physics."

In a small detour from our typical quantum conversation, Charles sat down with Phil to recount some remarkable nuclear physics discoveries made that year. This podcast details the search for an isotope of hydrogen, culminating in the discovery of deuterium (heavy water).

Phil Schewe discusses quantized energy levels with Steve Rolston (JQI) and Wes Campbell (former JQI postdoc and current UCLA professor). The concept of electronic energy levels in an atom has applications everywhere, from sodium lamps to brake lights to quantum information and atomic clocks.