
Explore jet physics and reconstruction algorithms in Julia, comparing performance with FastJet and discussing potential for broader clustering applications.

Explore gravitational scattering at high energies with Rodolfo Russo, delving into advanced concepts and recent developments in this fascinating area of physics.

Explore the fundamentals of Cherenkov Telescope Array (CTA) in this concise Latin-American School lecture, covering key concepts and advancements in gamma-ray astronomy.

Explore os fundamentos da física de partículas, abordando conceitos avançados e suas aplicações no universo subatômico.

Explore advanced concepts in Anti de Sitter space with Pedro Vieira, delving into theoretical physics and expanding your understanding of this fundamental topic.

Explore mensageiros cósmicos: raios cósmicos, neutrinos e raios gama. Aprofunde-se na física de partículas e fenômenos astronômicos de alta energia.

Explore supernovae remnants and PeVatrons, focusing on particle acceleration and propagation in these cosmic phenomena. Gain insights into high-energy astrophysics.

Explore CERN's Apache Spark-based data pipeline for deep learning in High Energy Physics. Learn about distributed training of neural network classifiers using BigDL and Analytics Zoo for improved event filtering at LHC experiments.

Explore GPU scheduling in Kubernetes, including time sharing and Nvidia MIG, to optimize resource utilization for HEP and machine learning workloads. Benchmark results and management strategies included.

Explore how Kubeflow enables graph neural network-based jet energy corrections at CERN's Large Hadron Collider, improving particle physics research through scalable machine learning workflows.

Explore advanced statistical methods for data analysis in high-energy physics, focusing on practical applications and exercises to enhance understanding and skills in this specialized field.

Explore normalization errors in statistical data analysis through practical exercises, enhancing your skills in handling and interpreting complex datasets for high-energy physics research.

Explore advanced statistical techniques for point estimation, measurement combination, and data fitting in high-energy physics, enhancing analysis skills for complex experimental data.

Comprehensive introduction to statistical methods for data analysis in high-energy physics, covering fundamental concepts and practical applications through exercises and examples.

Explore advanced statistical techniques for particle physics data analysis, focusing on hypothesis testing, confidence intervals, and likelihood methods in experimental research.

Explore the dynamic universe through multi-messenger astronomy, examining cosmic rays, neutrinos, photons, and gravitational waves to understand astrophysical phenomena and recent research developments.

Explore high-energy cosmic phenomena, from cosmic rays to neutrinos, and discover cutting-edge detection methods and astronomical observations in this comprehensive physics lecture.

Explore cutting-edge research on axion particle detection through high-energy proton and ion collisions, examining experimental data from 5.02 TeV and 13 TeV collision energies.

Exploring helium dimers and trimers: from structural imaging to ultrafast dynamics visualization, focusing on few-body physics near unitarity and its implications across various scientific disciplines.

Explore bosons and multi-component fermions near unitarity, focusing on few-body physics challenges in atomic and nuclear systems, with insights on universality and organizing principles.

Explores rare and precision processes in particle physics, covering theoretical tools, experimental results, and future directions in areas like charged leptons, dark sectors, and anomalies.