Large Neutrino "Collider"

arXiv:2510.13948 · hep-ph, astro-ph.HE, hep-ex · Submitted 2026-08-22 · Read on arXiv

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Introduction to the show: ident: Astrophysics Radio. Generated commentary on the latest astrophysics papers.

Vera: Next we'll be talking about the paper "Large Neutrino "Collider"".

Jocelyn: The paper was written by the authors from.

Vera: Stay tuned as we take you through the paper and discuss its implications.

Core Concept: Vera: We're moving past just discussing the name and authors; we want to delve into how "Large Neutrino 'Collider'" actually summarizes its findings. The paper shows that even though the luminosity is lower than at the LHC, it is still capable of probing very heavy particles.

Jocelyn: I noticed in Figure one that for certain models, like the leptoquark or contact interaction, their mass-scale sensitivity reaches levels comparable to, or even exceeding, what we expect from both the current LHC and future High-Luminosity LHC.

Subrahmanyan: It's a huge deal because of how these BSM scenarios induce enhanced scattering cross sections within the detector. The sheer probability of a high-energy neutrino interacting is much higher than anticipated by standard models.

Vera: That suggests that we are not just looking at raw event counts, but really looking at the physics that makes those interactions so powerful. How does the paper explain this enhancement?

Jocelyn: It’s a combination of the high COM energy and its sensitivity to these specific BSM scenarios. The authors mention, for example, how it performs exceptionally well for contact interactions.

Subrahmanyan: This ability to compensate for lower collision rate is remarkable, proving that we can utilize this method of exploring heavy new physics without the need for a terrestrial accelerator of construction similar in scale.

Vera: It's not just about finding anything; it’s about finding things very heavy. We need to transition now into how these specific models translate into measurable features within these large detectors, so let's discuss the benchmarks.

The Models and Performance: Jocelyn: The paper outlines a testing portfolio that is highly relevant to this large-volume neutrino environment, focusing on specific BSM scenarios. These benchmarks are designed to see what the LνC can actually see.

Subrahmanyan: The authors suggest that the leptogluon model, in particular, is an ideal target for LνCs because of how it benefits from both resonance effects and its enhanced interaction with the nucleon’s internal structure (the gluon PDF).

Vera: I see a lot of data points in Figure one showing different projected mass scales. It seems that next-generation detectors like IceCube-Gen2 or even the proposed HUNT telescope offer significantly better performance than current ones.

Jocelyn: The performance really varies based on the model and the size of those massive tanks of ice or water, which is why looking at detector volume is so crucial to understanding its potential.

Subrahmanyan: This increased reach allows us to probe mass scales that are completely out of reach for terrestrial colliders, even if we're only using cosmic rays as a beam.

Vera: It’s not just about the size of the tank; it’s about how finding physics works well within that a large target volume. We need to see how this potential is measured and quantified by looking at the statistical rigor used in the analysis, which leads us to methodology.

Methodology and Precision: Vera: Let's look closer at the methodology, particularly how they measure this potential using a profile likelihood ratio test statistic. This sounds like a very rigorous way to quantify sensitivity across various energy levels.

Jocelyn: It is a highly rigorous statistical method that accounts for all the uncertainties involved in these massive detectors, especially since we have both systematic uncertainties for signal and background events.

Subrahmanyan: The authors are very careful about this by using nuisance parameters to model those fluctuations, which is critical when dealing with data that comes from across the entire sky and involves complex interactions over a vast cosmic picture.

Vera: Modeling the entire probability distribution of events over time and volume is much more comprehensive than just looking at a single data point. It gives us a full picture of what's happening.

Jocelyn: When considering those massive volumes, like thirty km3, it’s important to know how those large numbers translate into actual event rates compared to the smaller detectors in terms of scaling.

Subrahmanyan: The sheer size allows for a much greater number of target nucleons and even more potential interactions within that volume, which directly translates to higher expected event rates for every model studied.

Vera: It’s a direct scaling of the power, where the the larger the detector, the better our ability to capture these rare collisions and find those signals.

Jocelyn: I'm interested in how they handle things like Earth absorption when those neutrinos are traveling through our planet to reach us. Does that significantly affect their final calculations?

Subrahmanyan: Yes, it does, and they factor that in for both high-energy and ultra-high-energy neutrinos, ensuring the model accounts for the signal loss as well as the interaction cross sections within the Earth's matter.

Vera: It’s a very complete picture of a neutrino traveling from space to being detected here on Earth.

Conclusion and Future Work: Vera: So, what does this all mean for the future—how do we see these findings in practice? The paper clearly suggests that these massive detectors are not just passive instruments; they are active tools for discovering new physics.

Jocelyn: It really demonstrates that we can utilize the "Large Neutrino 'Collider'" to access regimes of new physics, from simple contact interactions to complex leptoquark models, that were previously difficult or impossible to reach with terrestrial colliders alone.

Subrahmanyan: The findings show that this approach broadens our experimental reach considerably in terms of what we can observe in the cosmos. It provides a pathway for us to explore the fundamental particles and interactions driving nature's most extreme physics.

Vera: It’s a major win for the LνC concept, proving it's not just a theoretical curiosity but a powerful tool for both astrophysics and particle physics discovery potential.

Jocelyn: I’m excited to see how these next-generation detectors actually implement this idea in practice, though, to bring these projected sensitivities to life in the years ahead.

Subrahmanyan: The paper sets the stage beautifully for what's the coming decade of neutrino astronomy and particle physics, ensuring we are ready for a new frontier.

Vera: It's definitely a promising new path forward that offers multiple avenues for exploration simultaneously.

Jocelyn: I think I’m going to be watching these next-generation detectors very closely now, with "Large Neutrino 'Collider'" on my mind as they get built and begin operation.

Subrahmanyan: We are all looking forward to the discoveries that this research is pointing toward, hoping for exciting data in the coming years.

hep-ph, astro-ph.HE, hep-ex

Submitted: 2026-08-22

Updated: 2026-08-25

Comments: Added a conservative UHE-neutrino flux and the corresponding sensitivities, along with other revisions

Code: https://github.com/mceq-project/MCEq

License: http://creativecommons.org/licenses/by/4.0/

Importance score: 63/100

The gist: The paper proposes utilizing large-volume neutrino telescopes as "Large Neutrino Colliders" (LνCs) to investigate physics beyond the Standard Model (BSM), leveraging naturally occurring high-energy

Key concepts

Large Neutrino "Collider" (LνC): This concept refers to utilizing massive neutrino detectors as a tool to study new physics. The paper demonstrates that LνCs can probe extremely heavy particles and BSM scenarios, reaching mass scales that are otherwise inaccessible using terrestrial accelerators.
Beyond Standard Model (BSM) Scenarios: These are theoretical models, such as leptoquark or contact interactions, predicting physics beyond the current Standard Model. The LνC is highly sensitive to these specific BSM scenarios because they induce enhanced scattering cross sections for high-energy neutrinos.
Profile Likelihood Ratio Test Statistic: This is a highly rigorous statistical method used in the analysis. It quantifies sensitivity across various energy levels by accounting for all uncertainties, including systematic fluctuations, when analyzing data from massive detectors over vast volumes.

Terminology

Benchmark — 14× in this paper · explained in 2 episodes
Standard Model — 8× in this paper
Large Hadron Collider — 4× in this paper
AGN — 2× in this paper · explained in 1 episode
Electron-Ion Collider — 2× in this paper
Access Regimes — 1× in this paper · explained in 1 episode
Core — 1× in this paper · explained in 2 episodes
Sequential Standard Model — 1× in this paper

Summary

The paper proposes utilizing large-volume neutrino telescopes as Large Neutrino Colliders (LνCs) to investigate physics beyond the Standard Model (BSM), leveraging naturally occurring high-energy (HE) and ultra-high-energy (UHE) cosmic neutrinos.

Motivation and Methodology

The search for new particles is driven by the fact that the Standard Model fails to account for phenomena such as dark matter, neutrino masses, and the hierarchy between the electroweak and Planck scales. While traditional high-energy colliders like the Large Hadron Collider (LHC) are effective, they involve high costs and long lead times. The LνC offers an alternative by utilizing cosmic rays as a beam colliding with a stationary target."

The study utilizes recently measured HE and UHE cosmic-neutrino fluxes from IceCube and KM3NeT. The analysis focuses on three representative LνC configurations based on instrumented volumes of 1 km3, 8 km3, and 30 km3.

Key Findings: Comparative Performance

The results demonstrate that LνCs provide a novel avenue to probe multi-TeV particles with sensitivities comparable to, or even surpassing, those of the LHC.

Benchmark BSM Scenarios and Results: The study explores four distinct benchmark models: contact interactions, leptogluons, leptoquarks, and W'/H- resonance production.

Contact Interactions: These involve dimension-6 four-fermion operators (e.g, O q). The LνCs are shown to be highly effective in this search: Here, LνCs can probe this contact interaction more effectively than the global fit of collider data, including the current LHC and future HL-LHC [49].
Leptogluons (nu 8): These are vector-like color-octet particles. The analysis shows that next-generation detectors have significant potential: "Fig. 4 shows the 95% CL projected sensitivities for the leptogluon model, which shows that next-generation detectors such as IceCube-Gen2 (8 km3) and proposed future telescopes (30 km3) can probe a broad range of the leptogluon parameter space, surpassing current and projected LHC and HL-LHC limits."
Leptoquarks (LQs): These models are studied in both scalar (S 1) and vector types. The LνC's sensitivity is substantial: The LνCs can probe the LQ up to 10 TeV, depending on the corresponding couplings... In comparison with the LHC and future HL-LHC, the LνC can only gain new parameter space above 8 TeV with a coupling around 4 pi.
** nu + e Collider (W'/H-):** This configuration allows for a unique high-energy environment. The center-of-mass (COM) energy is determined by the neutrino energy, and for the sqrt nu+e- configuration, the COM energy is s about 500 GeV times (E nu/250 PeV) 1/2, which can surpass the LEP’s 209 GeV and even the projected COM energy of the proposed FCC-ee and CEPC colliders [4, 6, 7].

Detailed Analysis of Specific Models:

Leptogluons: The partonic cross sections for nu 8 production show a resonance peak around s hat about M nu 8. The analysis compares the narrow-width approximation (NWA) with the full nu 8 propagator, noting that at extremely high neutrino energies, the nu 8 propagator approach gives larger predictions than NWA.
Leptoquarks: The LQs are shown to be produced in neutrino-nucleus scattering. The sensitivity analysis shows that the LνC's ability to probe the LQ is strongly dependent on the coupling and volume.
** W'/H- Resonance:** For nu + e collisions, the cross section for a vector W' or scalar H- resonance is compared against SM CC and NCDIS. The LνCs can exclude the W' boson up to MW' about 70 and 100 GeV with instrumented volumes of 1 and 8 km3.

Conclusion

The study concludes that we have demonstrated the feasibility of using high-energy cosmic rays as beams to search for BSM physics, establishing a promising new frontier in both astrophysics and particle physics.

Improvements for AI systems

This document describes advanced theoretical predictions and experimental sensitivity limits in particle physics phenomenology, specifically concerning Beyond the Standard Model (BSM) physics like Leptoquarks (LQ), W' bosons, and charged Higgs (H-).

To improve AI systems using this scientific paper, I would focus on developing specialized modules for High-Dimensional Parameter Space Analysis, Automated Figure Interpretation for Exclusion Limits, and Accelerated Simulation of Rare Events. Given the high stakes (costing millions of dollars), the AI must be rigorously verifiable and capable of handling complex, multi-variable inputs.

Here are the specific improvements I can make to an AI system:

Improvement: Develop a dedicated module that ingests theoretical cross-section formulas (like Eq. D38 for W' resonance) and experimental constraints (like the exclusion limits shown in Fig. 17 and Fig. 18). This engine must move beyond simple data retrieval to perform rigorous, comparative model testing.

What the Improved AI System Can Do:

Automated Model Comparison: Given a set of BSM models (e.g., LQ vector vs. scalar; W' vs. H-), the AI can automatically calculate and plot the predicted event rate (E / E nu) for various detector volumes (1 km cubed, 8 km cubed, 30 km cubed) and coupling strengths (y or g W').
Sensitivity Mapping & Gap Identification: The system can take the projected sensitivity curves (e.g., LQ vs. Coupling times Mass) and perform a rigorous search for blind spots—regions in the parameter space that are currently unconstrained by any listed experiment (LHC, HL-LHC, L nuC). It will quantify the required luminosity or detector volume needed to close these gaps.
Unitarity Bound Checking: The AI can automatically plot and compare predicted couplings against fundamental theoretical limits (like the unitarity bounds mentioned in Fig. 17) to flag any model predictions that are physically inconsistent, saving significant computational time for physicists.
Contextual Data Extraction: When presented with a sensitivity plot, the AI does not just read points; it reads metadata: The solid red line represents S 1 in a 30 km cubed detector volume over 20 years. It can systematically extract all these parameters (Model Type, Coupling Dependence, Detector Volume/Time, Cross-Section Metric) from complex figures.
Differential Comparison: It can compare the relative weakness of constraints. For example, upon viewing Fig. 17, the AI must report: "The sensitivity to the vector LQ is slightly weaker than the scalar one (Sensitivity V < Sensitivity S), and this difference is attributed to Earth absorption reducing vector event statistics." This level of physical interpretation is crucial for hypothesis generation.
Quantitative Cross-Section Comparison: Given two cross-section plots (like Fig. 18 left panel), the AI can calculate the ratio sigma W' / sigma DIS at specific energy points, providing immediate quantitative context for experimental feasibility.
Fast Parameter Scanning: Instead of running a full, time-consuming simulation for every point in the (M W', g W') or (M LQ, y) plane, the AI uses trained surrogates (ML models) to predict the event rate distribution (E / E nu) in near real-time. This allows researchers to map out entire parameter spaces (like M W' > 1 TeV in Fig. 18) instantly, guiding where expensive, high-fidelity simulations are actually needed.
Background Modeling Integration: The system can automatically incorporate and adjust for background processes (e.g., comparing the BSM signal to SM CC and NCDIS backgrounds), providing a net, corrected exclusion limit (Signal - Background) directly into the analysis pipeline.
Signal Channel Optimization: For a given detector setup, it can predict which subleading signatures (e.g., NC scattering vs. CC scattering) offer the best signal-to-background ratio for a specific BSM model, saving the research team from wasting resources on low-yield channels.

Abstract

We propose using current and future large-volume neutrino telescopes as ``Large Neutrino Colliders" (L ν Cs) to explore TeV-scale physics beyond the Standard Model. Cosmic neutrinos with energies above 100 PeV colliding with nucleons in the detector reach center-of-mass energies beyond the 14 TeV limit of the Large Hadron Collider (LHC). Using recently predicted and measured high-energy and ultra-high-energy neutrino fluxes from IceCube and KM3NeT, we estimate mass-scale sensitivities for representative new physics scenarios at 1--30 km cubed L ν Cs. Our results demonstrate that L ν Cs provide a novel avenue to probe multi-TeV particles with sensitivities comparable to, or even surpassing, those of the LHC.