Large Hadron Collider
PulseAugur coverage of Large Hadron Collider — every cluster mentioning Large Hadron Collider across labs, papers, and developer communities, ranked by signal.
- 2026-06-29 research_milestone The Large Hadron Collider is being upgraded to the High-Luminosity LHC, which will deliver ten times the luminosity. source
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New self-supervised pre-training method for LHC foundation models unveiled
Researchers have developed a novel self-supervised pre-training method for foundation models at the Large Hadron Collider (LHC). This data-driven approach utilizes the energy mover's distance (EMD) to pair events based …
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Optimal Transport Maps Calibrate ML Simulations for Particle Physics
Researchers have developed a novel calibration approach using optimal transport maps to address discrepancies between machine learning simulations and experimental data in particle physics. This method, applied to high-…
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New ML method speeds up uncertainty quantification for particle accelerators
Researchers have developed a novel empirical Bayes method to efficiently tune hyperparameters for flexible, heteroscedastic Spectral-normalized Neural Gaussian Processes. This technique significantly reduces computation…
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New AI method detects anomalies in particle collision data
Researchers have developed a new unsupervised anomaly detection method for dijet events in particle physics using neural spline flow density estimation. This technique trains a normalizing flow model on high-dimensional…
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LHC limits integrated into BSM physics global fits using symbolic regression
Researchers have developed a method to incorporate Large Hadron Collider (LHC) exclusion limits into online global fits for Beyond the Standard Model (BSM) physics. This approach uses symbolic regression to derive mathe…
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Vision Transformers outperform CNNs for jet classification at Large Hadron Collider
Researchers have explored the application of Vision Transformers (ViTs) for classifying quark-gluon jets using calorimeter images from the Large Hadron Collider. Their study, which utilized simulated CMS Open Data, cons…
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AI accelerates Large Hadron Collider detector simulations with Normalizing Flows
Researchers have developed a new method using fine-tuned Normalizing Flows (NFs) to speed up the simulation of particle detector responses at the Large Hadron Collider. This approach addresses the computational expense …
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Self-supervised ViT framework enhances neutrino detector analysis
Researchers have developed a new self-supervised pre-training framework using a sparse Vision Transformer (ViT) to create reusable representations for heterogeneous neutrino detectors. This approach, evaluated on simula…
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New lightweight foundation model NEXUS adapts collider physics AI for broader scientific use
Researchers have developed NEXUS, a lightweight foundation model designed for collider physics that utilizes pre-trained learning from the Large Hadron Collider. This model, with approximately 3 million parameters, demo…
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New ML framework 'Simplex Demixing' tackles jet flavor identification at LHC
Researchers have developed a new machine-learning framework called "simplex demixing" to address the long-standing challenge of identifying multiple jet flavors in collider physics. This method allows for the extraction…
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AI model learns Standard Model physics directly from LHC collision data
Researchers have developed a transformer-based generative model called ShellFlow that can learn the structure of the Standard Model of particle physics directly from data collected at the Large Hadron Collider. This mod…
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New methods forecast generative amplification in LHC simulations
Researchers have developed two new methods to estimate the statistical precision of generative networks used in Large Hadron Collider (LHC) simulations. These methods, 'averaging amplification' and 'differential amplifi…
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New Large Tabular Models Aim to Conquer Structured Data Challenges
A new category of AI models, known as large tabular models (LTMs), is emerging to address the limitations of current large language models (LLMs) in analyzing structured data. While LLMs excel at text and image generati…
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New framework analyzes neural network training for PDF fitting
Researchers have developed a theoretical framework using the Neural Tangent Kernel (NTK) to analyze the training dynamics of neural networks used in Parton Distribution Function (PDF) fitting. This approach offers an an…
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AI enables brain-to-word communication; LHC shuts down; e-scooters defy UK ban
A new technology has been developed that enables communication through brain waves without the need for surgery. This innovation utilizes AI to interpret brain signals and translate them into words, potentially revoluti…
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Large Hadron Collider upgraded to High-Luminosity successor
The Large Hadron Collider (LHC) is undergoing a significant upgrade to its successor, the High-Luminosity LHC (HL-LHC). While largely retaining its original structure, the enhanced machine is designed to deliver ten tim…
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Reinforcement Learning Optimizes Real-Time Triggers at Large Hadron Collider
Researchers have developed a novel application of reinforcement learning (RL) for real-time event filtering at the Large Hadron Collider (LHC). By adapting Group-Filtered Policy Optimization (GFPO) to streaming data, th…
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AI framework streamlines detector design optimization using distributed computing
Researchers have developed a new AI-assisted framework for optimizing detector designs, leveraging the Production and Distributed Analysis (PanDA) system. This framework integrates multi-objective Bayesian optimization …
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New ML algorithm Profile OmniFold enhances particle physics data correction
Researchers have developed a new machine learning algorithm called Profile OmniFold to improve the accuracy of unfolding, a process used in particle physics to correct measured data for detector effects. This new method…
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Reinforcement learning optimizes Large Hadron Collider triggers in real-time
Researchers have developed a reinforcement learning agent capable of optimizing trigger thresholds in real-time at the Large Hadron Collider. This system, adapted from Group-Filtered Policy Optimization (GFPO), aims to …