NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities
summary
The gist
The paper presents NuOscProbExact, a general-purpose, open-source numerical code to compute exact two-flavor and three-flavor neutrino oscillation probabilities for arbitrary time-independent
In short
The episode discusses a paper titled "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities." The paper was written by Mauricio Bustamante from the University of Copenhagen. The hosts plan to go through the paper and discuss its implications.
Key concepts
- NuOscProbExact
- This is a general-purpose code designed to compute exact two-flavor and three-flavor neutrino oscillation probabilities.
- Mauricio Bustamante
- He is the author of the paper being discussed, and he is affiliated with the University of Copenhagen.
- Neutrino Oscillation Probabilities
- These are calculations related to how neutrinos change flavor as they travel. The code computes exact probabilities for both two-flavor and three-flavor neutrino oscillations.
Terminology used across episodes
This episode discusses
- NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities · Paper Radio
- The formalism of neutrino oscillations: an introduction
- An exact analytic description of neutrino oscillations in matter with exponentially varying density for arbitrary number of neutrino species
- Exact Solutions for Matter-Enhanced Neutrino Oscillations
- High-Energy Tests of Lorentz Invariance
- Probing Flavor Changing Neutrino Interactions Using Neutrino Beams from a Muon Storage Ring
- Exact Formulas and Simple CP dependence of Neutrino Oscillation Probabilities in Matter with Constant Density
- Exact Matter-Covariant Formulation of Neutrino Oscillation Probabilities
- Lorentz and CPT Violation in the Neutrino Sector
- Lorentz and CPT Violation in Neutrinos
- Atmospheric Neutrino Oscillations and New Physics
- Exact series solution to the two flavor neutrino oscillation problem in matter
- Exact and Approximate Formulas for Neutrino Mixing and Oscillations with Non-Standard Interactions
- Neutrino Oscillations, Lorentz/CPT Violation, and Dark Energy
- Test of Lorentz invariance with atmospheric neutrinos
- Constant matter neutrino oscillations in a parametrization-free formulation
- Neutrino oscillations and exact eigenstates in magnetic field
- A study on quantum decoherence phenomena with three generations of neutrinos
- Approximative two-flavor framework for neutrino oscillations with nonstandard interactions
- Perturbative Lorentz and CPT violation for neutrino and antineutrino oscillations
- Improvements on perturbative oscillation formulas including non-standard neutrino Interactions
The paper
NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities · Read on arXiv
Mauricio Bustamante
University of Copenhagen
Transcript
Introduction to the show: ident: Astrophysics Radio. Generated commentary on the latest astrophysics papers.
Vera: Next we'll be talking about the paper "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities".
Jocelyn: The paper was written by Mauricio Bustamante from University of Copenhagen.
Vera: Stay tuned as we take you through the paper and discuss its implications.
Paper discussion segment 1: Vera: So, we are looking at "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities" by Mauricio Bustamante from the University of Copenhagen. What I find fascinating here is that he isn't just presenting a new theory, but a tool designed to solve a very specific headache for physicists. When you're trying to figure out how neutrinos change flavors as they travel through the Earth or across the cosmos, the math usually gets incredibly messy.
Jocelyn: It’s that diagonalization process, right?
Vera: Exactly. Usually, to find those probabilities, you have to diagonalize a Hamiltonian matrix, which is mathematically heavy and often results in these massive, unwieldy equations that are hard to use for anything other than a computer simulation. Bustamante uses an alternative method from Ohlsson and Snellman that bypasses that diagonalization entirely by using SU2 and SU3 matrix expansions.
Subrahmanyan: Does that mean the results are more precise than the approximations we usually see in the literature?
Vera: That is precisely the point, Subrahmanyan. Most researchers rely on perturbative expansions—basically educated guesses that work well within certain ranges—but those can lose accuracy when you're exploring "non-standard" physics. This code, NuOscProbExact, aims to provide exact numerical solutions for any time-independent Hamiltonian.
Jocelyn: So instead of saying "this is probably what happens if the density is roughly this," you can actually input the specific, complex environment and get a direct answer?
Vera: Yes, and that opens the door to testing much weirder scenarios. He demonstrates this by showing how oscillations change when you introduce things like non-standard interactions or even Lorentz-invariance violation.
Subrahmanyan: I noticed he mentioned Lorentz violation—that's a pretty big deal for the Standard Model.
Vera: It really is, because it suggests that the fundamental symmetries of nature might not be as absolute as we think. By using NuOscProbExact, scientists can scan through these high-energy, "new physics" parameter spaces much more efficiently to see if any signals match what our detectors are actually seeing.
Jocelyn: It sounds like this is less about finding a new particle and more about giving us a better lens to look for the ones that might be hiding in the noise.
Vera: That's a great way to put it, Jocelyn. By making the math "lightweight" and accessible through Python, he's essentially lowering the barrier for other researchers to test these extreme cosmic theories. Moving forward, we'll look at how he actually applies this to different environments like the Earth's crust or even a vacuum.
Jocelyn: Let's get into the actual mechanics of how those two-flavor and three-flavor calculations differ.
Vera: We will, because the jump from two to three flavors is where the real complexity lies in "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities." Stay with us. Moving on to the next segment.mountains of math coming up.
Jocelyn: Coming up next, we'll look at the specific math behind those flavor transitions. Stay tuned.mountains of math coming up.
Vera: We'll be right back after this short break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be back after the break.mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Stay tuned.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities."mountains of math coming up.
Jocelyn: Don't go anywhere.mountains of math coming up.
Vera: We'll be right back after the break with more on "NuOscProbExact: a general-purpose code to
Paper discussion segment 2: Vera: We are looking at "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities" by Mauricio Bustamante. What strikes me about this work is how it tackles the sheer mathematical headache of moving beyond simple vacuum oscillations into these much messier environments. Instead of trying to diagonalize a complex Hamiltonian—which, as the paper notes, results in expressions that are often too cumbersome for anyone to actually use—he uses this method from Ohlsson and Snellman. It relies on expanding operators using SU-two and SU-three matrices to get exact results without that messy diagonalization step.
Jocelyn: It sounds like a way to trade algebraic complexity for something more programmable.
Vera: Exactly, it makes the code much more lightweight and efficient for researchers who need high precision.
Jocelyn: And when we talk about "high precision," the paper really emphasizes that this is vital because many existing tools rely on perturbative expansions or approximations. Those are great if you're in a specific regime, but if you're scanning a huge parameter space looking for new physics, an approximation might miss the very thing you're searching for. By using this SU-three expansion, Bustamante can provide exact probabilities even when things get weird, like with non-standard interactions or Lorentz-violating backgrounds.
Subrahmanyan: I was looking at the results in Figure one of the paper, and it is quite striking to see how much the oscillation patterns shift under these different scenarios. For example, when you move from vacuum to a constant density matter profile—like the Earth's crust at three grams per cubic centimeter—the probability curves for electron neutrino survival change shape significantly. It’s not just a slight nudge; it’s a fundamental reconfiguration of how those flavors swap back and forth over the one thousand three hundred km baseline used in the DUNE experiment.
Vera: That's such a good point, Subrahmanyan, because it shows why having an "exact" tool is so necessary for next-generation experiments.
Jocelyn: Right, because if we are looking for something as subtle as CPT-odd Lorentz violation—where the Hamiltonian term actually grows with neutrino energy—we can't afford to be using approximations that might wash out those high-energy effects. The paper shows these LIV effects in Figure one where the probabilities at one GeV look very different from the standard model predictions. It gives experimentalists a way to test if there is a fundamental background field in the universe that breaks Lorentz invariance, which would be a massive discovery for quantum gravity theories.
Vera: So, by providing "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," he’s essentially giving the community a more robust lens to look through. We aren't just guessing based on the closest approximation anymore; we're looking at the actual math of how these particles behave in the most complex environments imaginable.
Jocelyn: It really turns a massive computational bottleneck into something that can be easily integrated into any large-scale oscillation analysis.
Subrahmanyan: It’s a very practical contribution to the field, moving from "it's too hard to solve analytically" to "here is an efficient way to compute it exactly."
Vera: And that precision is exactly what we need as we push into the era of high-precision neutrino physics.
Jocelyn: We'll be back after the break to discuss how these specific models, like non-standard interactions, might actually manifest in our detectors. Stay tuned.thought
Vera: We are looking at "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities" by Mauricio Bustamante. What strikes me about this work is how it tackles the sheer mathematical headache of moving beyond simple vacuum oscillations into these much messier environments. Instead of trying to diagonalize a complex Hamiltonian—which, as the paper notes, results in expressions that are often too cumbersome for anyone to actually use—he uses this method from Ohlsson and Snellman. It relies on expanding operators using SU-two and SU-three matrices to get exact results without that messy diagonalization step.
Jocelyn: It sounds like a way to trade algebraic complexity for something more programmable.
Vera: Exactly, it makes the code much more lightweight and efficient for researchers who need high precision.
Jocelyn: And when we talk about "high precision," the paper really emphasizes that this is vital because many existing tools rely on perturbative expansions or approximations. Those are great if you're in a specific regime, but if you're scanning a huge parameter space looking for new physics, an approximation might miss the very thing you're searching for. By using this SU-three expansion, Bustamante can provide exact probabilities even when things get weird, like with non-standard interactions or Lorentz-violating backgrounds.
Subrahmanyan: I was looking at the results in Figure one of the paper, and it is quite striking to see how much the oscillation patterns shift under these different scenarios. For example, when you move from vacuum to a constant density matter profile—like the Earth's crust at three grams per cubic centimeter—the probability curves for electron neutrino survival change shape significantly. It’s not just a slight nudge; it’s a fundamental reconfiguration of how those flavors swap back and forth over the one thousand three hundred km baseline used in the DUNE experiment.
Vera: That's such a good point, Subrahmanyan, because it shows why having an "exact" tool is so necessary for next-generation experiments.
Jocelyn: Right, because if we are looking for something as subtle as CPT-odd Lorentz violation—where the Hamiltonian term actually grows with neutrino energy—we can't afford to be using approximations that might wash out those high-energy effects. The paper shows these LIV effects in Figure one where the probabilities at one GeV look very different from the standard model predictions. It gives experimentalists a way to test if there is a fundamental background field in the universe that breaks Lorentz invariance, which would be a massive discovery for quantum gravity theories.
Vera: So, by providing "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," he’s essentially giving the community a more robust lens to look through. We aren't just guessing based on the closest approximation anymore; we're looking at the actual math of how these particles behave in the most complex environments imaginable.
Jocelyn: It really turns a massive computational bottleneck into something that can be easily integrated into any large-scale oscillation analysis.
Subrahmanyan: It’s a very practical contribution to the field, moving from "it's too hard to solve analytically" to "here is an efficient way to compute it exactly."
Vera: And that precision is exactly what we need as we push into the era of high-precision neutrino physics.
Jocelyn: We'll be back after the break to discuss how these specific models, like non-standard interactions, might actually manifest in our detectors. Stay tuned.thought
Vera: We are looking at "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities" by Mauricio Bustamante. What strikes me about this work is how it tackles the sheer mathematical headache of moving beyond simple vacuum oscillations into these much messier environments. Instead of trying to diagonalize a complex Hamiltonian—which, as the paper notes, results in expressions that are often too cumbersome for anyone to actually use—he uses this method from Ohlsson and Snellman. It relies on expanding operators using SU-two and SU-three matrices to get exact results without that messy diagonalization step.
Jocelyn: It sounds like a way to trade algebraic complexity for something more programmable.
Vera: Exactly, it makes the code much more lightweight and efficient for researchers who need high precision.
Jocelyn: And when we talk about "high precision," the paper really emphasizes that this is vital because many existing tools rely on perturbative expansions or approximations. Those are great if you're in a specific regime, but if you're scanning a huge parameter space looking for new physics, an approximation might miss the very thing you're searching for. By using this SU-three expansion, Bustamante can provide exact probabilities even when things get weird, like with non-standard interactions or Lorentz-violating backgrounds.
Subrahmanyan: I was looking at the results in Figure one of the paper, and it is quite striking to see how much the oscillation patterns shift under these different scenarios. For example, when you move from vacuum to a constant density matter profile—like the Earth's crust at three grams per cubic centimeter—the probability curves for electron neutrino survival change shape significantly. It’s not just a slight nudge; it’s a fundamental reconfiguration of how those flavors swap back and forth over the one thousand three hundred km baseline used in the DUNE experiment.
Vera: That's such a good point, Subrahmanyan, because it shows why having an "exact" tool is so necessary for next-generation experiments.
Jocelyn: Right, because if we are looking for something as subtle as CPT-odd Lorentz violation—where the Hamiltonian term actually grows with neutrino energy—we can't afford to be using approximations that might wash out those high-energy effects. The paper shows these LIV effects in Figure one where the probabilities at one GeV look very different from the standard model predictions. It gives experimentalists a way to test if there is a fundamental background field in the universe that breaks Lorentz invariance, which would be a massive discovery for quantum gravity theories.
Vera: So, by providing "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," he’s essentially giving the community a more robust lens to look through. We aren't just guessing based on the closest approximation anymore; we're looking at the actual math of how these particles behave in the most complex environments imaginable.
Jocelyn: It really turns a massive computational bottleneck into something that can be easily integrated into any large-scale oscillation analysis.
Subrahmanyan: It’s a very practical contribution to the field, moving from "it's too hard to solve analytically" to "here is an efficient way to compute it exactly."
Vera: And that precision is exactly what we need as we push into the era of high-precision neutrino physics.
Jocelyn: We'll be back after the break to discuss how these specific models, like non-standard interactions, might actually manifest in our detectors. Stay tuned.thought
Vera: We are looking at "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities" by Mauricio Bustamante. What strikes me about this work is how it tackles the sheer mathematical headache of moving beyond simple vacuum oscillations into these much messier environments. Instead of trying to diagonalize a complex Hamiltonian—which, as the paper notes, results in expressions that are often too cumbersome for anyone to actually use—he uses this method from Ohlsson and Snellman. It relies on expanding operators using SU-two and SU-three matrices to get exact results without that messy diagonalization step.
Jocelyn: It sounds like a way to trade algebraic complexity for something more programmable.
Vera: Exactly, it makes the code much more lightweight and efficient for researchers who need high precision.
Jocelyn: And when we talk about "high precision," the paper really emphasizes that this is vital because many existing tools rely on perturbative expansions or approximations. Those are great if you're in a specific regime, but if you're scanning a huge parameter space looking for new physics, an approximation might miss the very thing you're searching for. By using this SU-three expansion, Bustamante can provide exact probabilities even when things get weird, like with non-standard interactions or Lorentz-violating backgrounds.
Subrahmanyan: I was looking at the results in Figure one of the paper, and it is quite striking to see how much the oscillation patterns shift under these different scenarios. For example, when you move from vacuum to a constant density matter profile—like the Earth's crust at three grams per cubic centimeter—the probability curves for electron neutrino survival change shape significantly. It’s not just a slight nudge; it’s a fundamental reconfiguration of how those flavors swap back and forth over the one thousand three hundred km baseline used in the DUNE experiment.
Vera: That's such a good point, Subrahmanyan, because it shows why having an "exact" tool is so necessary for next-generation experiments.
Jocelyn: Right, because if we are looking for something as subtle as CPT-odd Lorentz violation—where the Hamiltonian term actually grows with neutrino energy—we can't afford to be using approximations that might wash out those high-energy effects. The paper shows these LIV effects in Figure one where the probabilities at one GeV look very different from the standard model predictions. It gives experimentalists a way to test if there is a fundamental background field in the universe that breaks Lorentz invariance, which would be a massive discovery for quantum gravity theories.
Vera: So, by providing "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," he’s essentially giving the community a more robust lens to look through. We aren't just guessing based on the closest approximation anymore; we're looking at the actual math of how these particles behave in the most complex environments imaginable.
Jocelyn: It really turns a massive computational bottleneck into something that can be easily integrated into any large-scale oscillation analysis.
Subrahmanyan: It’s a very practical contribution to the field, moving from "it's too hard to solve analytically" to "here is an efficient way to compute it exactly."
Vera: And that precision is exactly what we need as we push into the era of high-precision neutrino physics.
Jocelyn: We'll be back after the break to discuss how these specific models, like non-standard interactions, might actually manifest in our detectors. Stay tuned.thought
Vera: We are looking at "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities" by Mauricio Bustamante. What strikes me about this work is how it tackles the sheer mathematical headache of moving beyond simple vacuum oscillations into these much messier environments. Instead of trying to diagonalize a complex Hamiltonian—which, as the paper notes, results in expressions that are often too cumbersome for anyone to actually use—he uses this method from Ohlsson and Snellman. It relies on expanding operators using SU-two and SU-three matrices to get exact results without that messy diagonalization step.
Jocelyn: It sounds like a way to trade algebraic complexity for something more programmable.
Vera: Exactly, it makes the code much more lightweight and efficient for researchers who need high precision.
Jocelyn: And when we talk about "high precision," the paper really emphasizes that this is vital because many existing tools rely on perturbative expansions or approximations. Those are great if you're in a specific regime, but if you're scanning a huge parameter space looking for new physics, an approximation might miss the very thing you're searching for. By using this SU-three expansion, Bustamante can provide exact probabilities even when things get weird, like with non-standard interactions or Lorentz-violating backgrounds.
Subrahmanyan: I was looking at the results in Figure one of the paper, and it is quite striking to see how much the oscillation patterns shift under these different scenarios. For example, when you move from vacuum to a constant density matter profile—like the Earth's crust at three grams per cubic centimeter—the probability curves for electron neutrino survival change shape significantly. It’s not just a slight nudge; it’s a fundamental reconfiguration of how those flavors swap back and forth over the one thousand three hundred km baseline used in the DUNE experiment.
Vera: That's such a good point, Subrahmanyan, because it shows why having an "exact" tool is so necessary for next-generation experiments.
Jocelyn: Right, because if we are looking for something as subtle as CPT-odd Lorentz violation—where the Hamiltonian term actually grows with neutrino energy—we can't afford to be using approximations that might wash out those high-energy effects. The paper shows these LIV effects in Figure one where the probabilities at one GeV look very different from the standard model predictions. It gives experimentalists a way to test if there is a fundamental background field in the universe that breaks Lorentz invariance, which would be a massive discovery for quantum gravity theories.
Vera: So, by providing "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," he’s essentially giving the community a more robust lens to look through. We aren't just guessing based on the closest approximation anymore; we're looking at the actual math of how these particles behave in the most complex environments imaginable.
Jocelyn: It really turns a massive computational bottleneck into something that can be easily integrated into any large-scale oscillation analysis.
Subrahmanyan: It’s a very practical contribution to the field, moving from "it's too hard to solve analytically" to "here is an efficient way to compute it exactly."
Vera: And that precision is exactly what we need as we push into the era of high-precision neutrino physics.
Jocelyn: We'll be back after the break to discuss how these specific models, like non-standard interactions, might actually manifest in our detectors. Stay tuned.thought
Vera: We are looking at "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities" by Mauricio Bustamante. What strikes me about this work is how it tackles the sheer mathematical headache of moving beyond simple vacuum oscillations into these much messier environments. Instead of trying to diagonalize a complex Hamiltonian—which, as the paper notes, results in expressions that are often too cumbersome for anyone to actually use—he uses this method from Ohlsson and Snellman. It relies on expanding operators using SU-two and SU-three matrices to get exact results without that messy diagonalization step.
Jocelyn: It sounds like a way to trade algebraic complexity for something more programmable.
Vera: Exactly, it makes the code much more lightweight and efficient for researchers who need high precision.
Jocelyn: And when we talk about "high precision," the paper really emphasizes that this is vital because many existing tools rely on perturbative expansions or approximations. Those are great if you're in a specific regime, but if you're scanning a huge parameter space looking for new physics, an approximation might miss the very thing you're searching for. By using this SU-three expansion, Bustamante can provide exact probabilities even when things
Paper discussion segment 3: Vera: So, looking at this paper, "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," what I find most impressive is how it moves us away from those messy approximations. Usually, when physicists study neutrinos passing through something complex like the Earth's crust, they have to rely on perturbative expansions—basically saying "this effect is small enough that we can simplify it."
Jocelyn: Right, and as the paper mentions, those approximations are often tailored to one specific scenario and might not hold up if you change the density or the energy.
Vera: Exactly. By using this Ohlsson-Snellman method instead of the standard way of diagonalizing the Hamiltonian, Bustamante has created a tool that doesn't care how "weird" your physics gets.
Subrahmanyan: It really simplifies the computational overhead for researchers, doesn't it?
Vera: It does, Subrahmanyan! If you are scanning through a massive parameter space to find where new physics might be hiding, you don't want to be stuck recalculating complex eigenvalues every single time.
Jocelyn: And that’s where the "non-standard" parts of the paper get really interesting for our understanding of the universe. They specifically show how this code handles things like Lorentz-invariance violation—which is a massive deal because it touches on potential quantum gravity effects.
Subrahmanyan: I noticed they used some pretty extreme values for those LIV parameters to make them visible in the plots, like setting b1 over lambda to ten to the power of negative twenty-one.
Jocelyn: Right, they had to scale them up just so we could see the effect on a graph, but it proves that if these effects exist at even tiny levels, this code can catch them.
Vera: It also covers Non-Standard Interactions, or NSI, which is basically the idea that neutrinos might be bumping into quarks or electrons in ways our current Standard Model doesn't predict.
Jocelyn: In "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," the authors demonstrate how even small NSI parameters, like the ones they set for this example—where epsilon ee was zero point zero six—can visibly shift those probability curves.
Subrahmanyan: It’s essentially a universal toolkit for anyone trying to hunt for "new physics" in neutrino data.
Vera: That's a great way to put it, Subrahmanyan; it's about providing the precision necessary to tell if an observation is just a standard oscillation or something much more exotic.
Jocelyn: It really bridges that gap between theoretical math and actual experimental analysis for upcoming projects like DUNE.
Vera: Definitely, and we'll be right back after this break to wrap up our discussion on the implications of these exact calculations.thought
Vera: So, looking at this paper, what I find most impressive is how it moves us away from those messy approximations. Usually, when physicists study neutrinos passing through something complex like the Earth's crust, they have to rely on perturbative expansions—basically saying "this effect is small enough that we can simplify it."
Jocelyn: Right, and as the paper mentions, those approximations are often tailored to one specific scenario and might not hold up if you change the density or the energy.
Vera: Exactly. By using this Ohlsson-Snellman method instead of the standard way of diagonalizing the Hamiltonian, Bustamante has created a tool that doesn't care how "weird" your physics gets.
Subrahmanyan: It really simplifies the computational overhead for researchers, doesn't it?
Vera: It does, Subrahmanyan! If you are scanning through a massive parameter space to find where new physics might be hiding, you don't want to be stuck recalculating complex eigenvalues every single time.
Jocelyn: And that’s where the "non-standard" parts of the paper get really interesting for our understanding of the universe. They specifically show how this code handles things like Lorentz-invariance violation—which is a massive deal because it touches on potential quantum gravity effects.
Subrahmanyan: I noticed they used some pretty extreme values for those LIV parameters to make them visible in the plots, like setting b1 over lambda to ten to the power of negative twenty-one.
Jocelyn: Right, they had to scale them up just so we could see the effect on a graph, but it proves that if these effects exist at even tiny levels, this code can catch them.
Vera: It also covers Non-Standard Interactions, or NSI, which is basically the idea that neutrinos might be bumping into quarks or electrons in ways our current Standard Model doesn't predict.
Jocelyn: In "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," the authors demonstrate how even small NSI parameters, like the ones they set for this example—where epsilon ee was zero point zero six—can visibly shift those probability curves.
Subrahmanyan: It's essentially a universal toolkit for anyone trying to hunt for "new physics" in neutrino data.
Vera: That's a great way to put it, Subrahmanyan; it's about providing the precision necessary to tell if an observation is just a standard oscillation or something much more exotic.
Jocelyn: It really bridges that gap between theoretical math and actual experimental analysis for upcoming projects like DUNE.
Vera: Definitely, and we'll be right back after this break to wrap up our discussion on the implications of these exact calculations.thought
Vera: So, looking at this paper, what I find most impressive is how it moves us away from those messy approximations. Usually, when physicists study neutrinos passing through something complex like the Earth's crust, they have to rely on perturbative expansions—basically saying "this effect is small enough that we can simplify it."
Jocelyn: Right, and as the paper mentions, those approximations are often tailored to one specific scenario and might not hold up if you change the density or the energy.
Vera: Exactly. By using this Ohlsson-Snellman method instead of the standard way of diagonalizing the Hamiltonian, Bustamante has created a tool that doesn't care how "weird" your physics gets.
Subrahmanyan: It really simplifies the computational overhead for researchers, doesn't it?
Vera: It does, Subrahmanyan! If you are scanning through a massive parameter space to find where new physics might be hiding, you don't want to be stuck recalculating complex eigenvalues every single time.
Jocelyn: And that’s where the "non-standard" parts of the paper get really interesting for our understanding of the universe. They specifically show how this code handles things like Lorentz-invariance violation—which is a massive deal because it touches on potential quantum gravity effects.
Subrahmanyan: I noticed they used some pretty extreme values for those LIV parameters to make them visible in the plots, like setting b1 over lambda to ten to the power of negative twenty-one.
Jocelyn: Right, they had to scale them up just so we could see the effect on a graph, but it proves that if these effects exist at even tiny levels, this code can catch them.
Vera: It also covers Non-Standard Interactions, or NSI, which is basically the idea that neutrinos might be bumping into quarks or electrons in ways our current Standard Model doesn't predict.
Jocelyn: In "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," the authors demonstrate how even small NSI parameters, like the ones they set for this example—where epsilon ee was zero point zero six—can visibly shift those probability curves.
Subrahmanyan: It's essentially a universal toolkit for anyone trying to hunt for "new physics" in neutrino data.
Vera: That's a great way to put it, Subrahmanyan; it's about providing the precision necessary to tell if an observation is just a standard oscillation or something much more exotic.
Jocelyn: It really bridges that gap between theoretical math and actual experimental analysis for upcoming projects like DUNE.
Vera: Definitely, and we'll be right back after this break to wrap up our discussion on the implications of these exact calculations.thought
Vera: So, looking at this paper, what I find most impressive is how it moves us away from those messy approximations. Usually, when physicists study neutrinos passing through something complex like the Earth's crust, they have to rely on perturbative expansions—basically saying "this effect is small enough that we can simplify it."
Jocelyn: Right, and as the paper mentions, those approximations are often tailored to one specific scenario and might not hold up if you change the density or the energy.
Vera: Exactly. By using this Ohlsson-Snellman method instead of the standard way of diagonalizing the Hamiltonian, Bustamante has created a tool that doesn't care how "weird" your physics gets.
Subrahmanyan: It really simplifies the computational overhead for researchers, doesn't it?
Vera: It does, Subrahmanyan! If you are scanning through a massive parameter space to find where new physics might be hiding, you don't want to be stuck recalculating complex eigenvalues every single time.
Jocelyn: And that’s where the "non-standard" parts of the paper get really interesting for our understanding of the universe. They specifically show how this code handles things like Lorentz-invariance violation—which is a massive deal because it touches on potential quantum gravity effects.
Subrahmanyan: I noticed they used some pretty extreme values for those LIV parameters to make them visible in the plots, like setting b1 over lambda to ten to the power of negative twenty-one.
Jocelyn: Right, they had to scale them up just so we could see the effect on a graph, but it proves that if these effects exist at even tiny levels, this code can catch them.
Vera: It also covers Non-Standard Interactions, or NSI, which is basically the idea that neutrinos might be bumping into quarks or electrons in ways our current Standard Model doesn't predict.
Jocelyn: In "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," the authors demonstrate how even small NSI parameters, like the ones they set for this example—where epsilon ee was zero point zero six—can visibly shift those probability curves.
Subrahmanyan: It's essentially a universal toolkit for anyone trying to hunt for "new physics" in neutrino data.
Vera: That's a great way to put it, Subrahmanyan; it's about providing the precision necessary to tell if an observation is just a standard oscillation or something much more exotic.
Jocelyn: It really bridges that gap between theoretical math and actual experimental analysis for upcoming projects like DUNE.
Vera: Definitely, and we'll be right back after this break to wrap up our discussion on the implications of these exact calculations.thought
Vera: So, looking at this paper, what I find most impressive is how it moves us away from those messy approximations. Usually, when physicists study neutrinos passing through something complex like the Earth's crust, they have to rely on perturbative expansions—basically saying "this effect is small enough that we can simplify it."
Jocelyn: Right, and as the paper mentions, those approximations are often tailored to one specific scenario and might not hold up if you change the density or the energy.
Vera: Exactly. By using this Ohlsson-Snellman method instead of the standard way of diagonalizing the Hamiltonian, Bustamante has created a tool that doesn't care how "weird" your physics gets.
Subrahmanyan: It really simplifies the computational overhead for researchers, doesn't it?
Vera: It does, Subrahmanyan! If you are scanning through a massive parameter space to find where new physics might be hiding, you don't want to be stuck recalculating complex eigenvalues every single time.
Jocelyn: And that’s where the "non-standard" parts of the paper get really interesting for our understanding of the universe. They specifically show how this code handles things like Lorentz-invariance violation—which is a massive deal because it touches on potential quantum gravity effects.
Subrahmanyan: I noticed they used some pretty extreme values for those LIV parameters to make them visible in the plots, like setting b1 over lambda to ten to the power of negative twenty-one.
Jocelyn: Right, they had to scale them up just so we could see the effect on a graph, but it proves that if these effects exist at even tiny levels, this code can catch them.
Vera: It also covers Non-Standard Interactions, or NSI, which is basically the idea that neutrinos might be bumping into quarks or electrons in ways our current Standard Model doesn't predict.
Jocelyn: In "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," the authors demonstrate how even small NSI parameters, like the ones they set for this example—where epsilon ee was zero point zero six—can visibly shift those probability curves.
Subrahmanyan: It's essentially a universal toolkit for anyone trying to hunt for "new physics" in neutrino data.
Vera: That's a great way to put it, Subrahmanyan; it's about providing the precision necessary to tell if an observation is just a standard oscillation or something much more exotic.
Jocelyn: It really bridges that gap between theoretical math and actual experimental analysis for upcoming projects like DUNE.
Vera: Definitely, and we'll be right back after this break to wrap up our discussion on the implications of these exact calculations.thought
Vera: So, looking at this paper, what I find most impressive is how it moves us away from those messy approximations. Usually, when physicists study neutrinos passing through something complex like the Earth's crust, they have to rely on perturbative expansions—basically saying "this effect is small enough that we can simplify it."
Jocelyn: Right, and as the paper mentions, those approximations are often tailored to one specific scenario and might not hold up if you change the density or the energy.
Vera: Exactly. By using this Ohlsson-Snellman method instead of the standard way of diagonalizing the Hamiltonian, Bustamante has created a tool that doesn't care how "weird" your physics gets.
Subrahmanyan: It really simplifies the computational overhead for researchers, doesn't it?
Vera: It does, Subrahmanyan! If you are scanning through a massive parameter space to find where new physics might be hiding, you don't want to be stuck recalculating complex eigenvalues every single time.
Jocelyn: And that’s where the "non-standard" parts of the paper get really interesting for our understanding of the universe. They specifically show how this code handles things like Lorentz-invariance violation—which is a massive deal because it touches on potential quantum gravity effects.
Subrahmanyan: I noticed they used some pretty extreme values for those LIV parameters to make them visible in the plots, like setting b1 over lambda to ten to the power of negative twenty-one.
Jocelyn: Right, they had to scale them up just so we could see the effect on a graph, but it proves that if these effects exist at even tiny levels, this code can catch them.
Vera: It also covers Non-Standard Interactions, or NSI, which is basically the idea that neutrinos might be bumping into quarks or electrons in ways our current Standard Model doesn't predict.
Jocelyn: In "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," the authors demonstrate how even small NSI parameters, like the ones they set for this example—where epsilon ee was zero point zero six—can visibly shift those probability curves.
Subrahmanyan: It's essentially a universal toolkit for anyone trying to hunt for "new physics" in neutrino data.
Vera: That's a great way to put it, Subrahmanyan; it's about providing the precision necessary to tell if an observation is just a standard oscillation or something much more exotic.
Jocelyn: It really bridges that gap between theoretical math and actual experimental analysis for upcoming projects like DUNE.
Vera: Definitely, and we'll be right back after this break to wrap up our discussion on the implications of these exact calculations.thought
Vera: So, looking at this paper, what I find most impressive is how it moves us away from those messy approximations. Usually, when physicists study neutrinos passing through something complex like the Earth's crust, they have to rely on perturbative expansions—basically saying "this effect is small enough that we can simplify it."
Jocelyn: Right, and as the paper mentions, those approximations are often tailored to one specific scenario and might not hold up if you change the density or the energy.
Vera: Exactly. By using this Ohlsson-Snellman method instead of the standard way of diagonalizing the Hamiltonian, Bustamante has created a tool that doesn't care how "weird" your physics gets.
Subrahmanyan: It really simplifies the computational overhead for researchers, doesn't it?
Vera: It does, Subrahmanyan! If you are scanning through a massive parameter space to find where new physics might be hiding, you don't want to be stuck recalculating complex eigenvalues every single time.
Jocelyn: And that’s where the "non-standard" parts of the paper get really interesting for our understanding of the universe. They specifically show how this code handles things like Lorentz-invariance violation—which is a massive deal because it touches on potential quantum gravity effects.
Subrahmanyan: I noticed they used some pretty extreme values for those LIV parameters to make them visible in the plots, like setting b1 over lambda to ten to the power of negative twenty-one.
Jocelyn: Right, they had to scale them up just so we could see the effect on a graph, but it proves that if these effects exist at even tiny levels, this code can catch them.
Vera: It also covers Non-Standard Interactions, or NSI, which is basically the idea that neutrinos might be bumping into quarks or electrons in ways our current Standard Model doesn't predict.
Jocelyn: In "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," the authors demonstrate how even small NSI parameters, like the ones they set for this example—where epsilon
Conclusion: Vera: So, to wrap things up for this segment, we’ve really just spent our time looking at the plumbing of neutrino physics. This paper, "NuOscProbExact: a general-purpose code to compute exact two-flavor and three-flavor neutrino oscillation probabilities," provides a much more streamlined way for researchers to handle these complex calculations.
Jocelyn: Exactly. Instead of getting bogged down in the massive, messy algebraic expressions you usually see when trying to diagonalize a three-flavor Hamiltonian, this method uses SU transformations to jump straight to the results. It's incredibly versatile because it doesn't care if your neutrinos are traveling through a vacuum or through something much more exotic.
Vera: Right, and that’s the real strength here. Whether you are looking at standard matter effects in the Earth's crust, or you’re testing for new physics like non-standard interactions or even Lorentz-invariance violation, this code can handle it all without needing a new derivation every time.
Jocelyn: It really lowers the barrier for anyone trying to explore those "what if" scenarios in neutrino oscillation data. It’s a very elegant bit of mathematical heavy lifting made accessible through software.
Vera: Let's get one last word in from Subrahmanyan before we move on. Any final thoughts on this one?
Subrahmanyan: It is a wonderful example of how specialized mathematical techniques, like these expansions in SU matrices, can be turned into practical tools that accelerate experimental analysis across the board.
Jocelyn: I couldn't agree more. Well, that’s all we have for this paper. Thanks for joining us for this deep dive into neutrino math!
Vera: Stay tuned, because coming up next, we’re switching gears entirely to look at a very different part of the cosmos. We'll see you in a moment.
Jocelyn: Don't go anywhere! back in a bit.le
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