# Physics 6,273 courses and talks. - [Two milestones in the life of the Universe: Last Scattering Surface and Black Body Photosphere, and an introduction to the theory of Spectral Distortions.](https://invisiblenetwork.ai/learn/cern/3008374): Rashid Sunyaev · CERN - [Mapping Hot Gas in the Universe using the Sunyaev-Zeldovich Effect](https://invisiblenetwork.ai/learn/cern/3008322): Eiichiro Komatsu · CERN - [Taking the Universe's Temperature with CMB Spectral Distortions](https://invisiblenetwork.ai/learn/cern/3008323): James Colin Hill · CERN - [Spectral Distortions at CERN: Getting the ball rolling](https://invisiblenetwork.ai/learn/cern/3008320): Marc Kamionkowski · CERN - [CLIC: Overview of applications using high-gradient acceleration, from photon sources to medical physics](https://invisiblenetwork.ai/learn/cern/3007802): Walter Wuensch · CERN - [CLIC: Physics potential of a high-energy e+e- collider](https://invisiblenetwork.ai/learn/cern/3007133): Philipp Roloff · CERN - [Forward Top Physics at LHCb](https://invisiblenetwork.ai/learn/cern/3006698): Stephen Farry · CERN - [Topological phases and relativistic quantum field theories - 4](https://invisiblenetwork.ai/learn/cern/3005894): Yuji Tachikawa · CERN - [Topological phases and relativistic quantum field theories - 3](https://invisiblenetwork.ai/learn/cern/3005819): Yuji Tachikawa · CERN - [Topological phases and relativistic quantum field theories - 2](https://invisiblenetwork.ai/learn/cern/3019657): Yuji Tachikawa · CERN - [Topological phases and relativistic quantum field theories - 1](https://invisiblenetwork.ai/learn/cern/3005512): Yuji Tachikawa · CERN - [Particle Detector Simulation using Generative Adversarial Networks with Domain Related Constraints](https://invisiblenetwork.ai/learn/cern/3011934): Gul Rukh Khattak · CERN - [Strong physics at LHCb: probing nuclear matter effects in small systems](https://invisiblenetwork.ai/learn/cern/3011641): Hengne Li · CERN - [Wrap-up Session - Signals in Particle Detectors](https://invisiblenetwork.ai/learn/cern/3011491): Werner Riegler · CERN - [Signals in Particle Detectors](https://invisiblenetwork.ai/learn/cern/3011292): Werner Riegler · CERN - [Signals in Particle Detectors](https://invisiblenetwork.ai/learn/cern/2302687): Werner Riegler · CERN - [Signals in Particle Detectors](https://invisiblenetwork.ai/learn/cern/3011262): Werner Riegler · CERN - [Signals in Particle Detectors](https://invisiblenetwork.ai/learn/cern/3011155): Werner Riegler · CERN - [Quantum Information and the Foundations of Quantum Physics](https://invisiblenetwork.ai/learn/cern/3019319): Renato Renner · CERN - [New jet taggers and algorithms as tools for SM and BSM physics at CMS](https://invisiblenetwork.ai/learn/cern/3007975): Loukas Gouskos · CERN - [Neutrinos for Nuclear Security](https://invisiblenetwork.ai/learn/cern/3003151): Patrick Huber · CERN - [Natural Language Processing with Intel Quantum Simulator](https://invisiblenetwork.ai/learn/cern/3002145): Myles Doyle · CERN - [Simple Implementation of Quantum Bits in Silicon by Decoupling them in Space and Time](https://invisiblenetwork.ai/learn/cern/3002150): Nagi Mekhiel · CERN - [Deep Learning workflows: examples from High Energy Physics](https://invisiblenetwork.ai/learn/cern/3002520): Sofia Vallecorsa and Federico Carminati · CERN - [“Big Data In HEP” - Physics Data Analysis, Machine learning and Data Reduction at Scale with Apache Spark](https://invisiblenetwork.ai/learn/cern/3002562): Luca Canali · CERN - [Storage for High Energy Physics](https://invisiblenetwork.ai/learn/cern/3016142): Andreas Joachim Peters · CERN - [From particle physics to medtech and biomedical research](https://invisiblenetwork.ai/learn/cern/3001006): Manuela Cirilli · CERN - [Atom interferometry for fundamental physics and gravitational wave detection](https://invisiblenetwork.ai/learn/cern/3001246): Jason Hogan · CERN - [Flavour Physics](https://invisiblenetwork.ai/learn/cern/3000555): Guy Wilkinson · CERN - [High-Density QCD with Heavy-Ion + Proton Beams](https://invisiblenetwork.ai/learn/cern/3000609): Marco Van Leeuwen · CERN - [From Collisions to Analysis](https://invisiblenetwork.ai/learn/cern/3004960): Mika Anton Vesterinen · CERN - [Flavour Physics](https://invisiblenetwork.ai/learn/cern/3000604): Guy Wilkinson · CERN - [High-Density QCD with Heavy-Ion + Proton Beams](https://invisiblenetwork.ai/learn/cern/3005202): Marco Van Leeuwen · CERN - [Advanced Detector Technologies](https://invisiblenetwork.ai/learn/cern/3005205): Werner Riegler · CERN - [Physics Prospects of HE-LHC + FCC](https://invisiblenetwork.ai/learn/cern/3005272): Michelangelo Mangano · CERN - [From Collisions to Analysis](https://invisiblenetwork.ai/learn/cern/3001618): Mika Anton Vesterinen · CERN - [BSM Theory](https://invisiblenetwork.ai/learn/cern/3000539): Matthew Philip Mccullough · CERN - [High-Density QCD with Heavy-Ion + Proton Beams](https://invisiblenetwork.ai/learn/cern/3000531): Alexander Kalweit · CERN - [Flavour Physics](https://invisiblenetwork.ai/learn/cern/3000532): Guy Wilkinson · CERN - [Advanced Detector Technologies](https://invisiblenetwork.ai/learn/cern/3000533): Werner Riegler · CERN - [Advanced Detector Technologies](https://invisiblenetwork.ai/learn/cern/3017256): Werner Riegler · CERN - [Novel Accelerator Techniques](https://invisiblenetwork.ai/learn/cern/3008575): Edda Gschwendtner · CERN - [BSM Theory](https://invisiblenetwork.ai/learn/cern/3000405): Matthew Philip Mccullough · CERN - [High-density QCD with Heavy-Ion + Proton Beams](https://invisiblenetwork.ai/learn/cern/3000465): Alexander Kalweit · CERN - [Precision Measurements](https://invisiblenetwork.ai/learn/cern/3000354): Pedro Vieira De Castro Ferreira Da Silva · CERN - [Precision Measurements at Low Energy + their implications on New Physics](https://invisiblenetwork.ai/learn/cern/3000389): Michael Doser · CERN - [BSM Theory](https://invisiblenetwork.ai/learn/cern/3000464): Matthew Philip Mccullough · CERN - [Accelerators](https://invisiblenetwork.ai/learn/cern/3004021): Belen Maria Salvachua Ferrando · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=physics&page=74)