# Physics

6,273 courses and talks.

- [Recasting DM direct detection results](https://invisiblenetwork.ai/learn/cern/3016969): Knut Morå · CERN
- [Belle-II](https://invisiblenetwork.ai/learn/cern/3015968): Slavomira Stefkova · CERN
- [Analysis preservation in heavy-ion collisions experiments](https://invisiblenetwork.ai/learn/cern/3015950): Antonio Carlos Oliveira Da Silva · CERN
- [Analyses combination in SModelS](https://invisiblenetwork.ai/learn/cern/3017776): Wolfgang Waltenberger · CERN
- [Preservation and reuse of BSM searches: CMS review](https://invisiblenetwork.ai/learn/cern/3019274): Sitian Qian · CERN
- [CERNs Open Science Policy: background and practical implementations](https://invisiblenetwork.ai/learn/cern/3015687): Sunje Dallmeier-Tiessen · CERN
- [Reusing Neural Networks: Lessons learned and Suggestions for the future](https://invisiblenetwork.ai/learn/cern/3016356): Tomasz Procter · CERN
- [Preservation and reuse of SM (incl. top, Higgs, etc) measurements: ATLAS review](https://invisiblenetwork.ai/learn/cern/3016328): Matous Vozak · CERN
- [Machine learning model serialization experiences](https://invisiblenetwork.ai/learn/cern/3016527): Dan Guest · CERN
- [CMS inputs on ML models re-usability](https://invisiblenetwork.ai/learn/cern/3016358): Jennifer Ngadiuba · CERN
- [Preservation and reuse of SM (incl. top, Higgs, etc) measurements: CMS review](https://invisiblenetwork.ai/learn/cern/3016352): Markus Seidel · CERN
- [New developments in MadAnalysis 5](https://invisiblenetwork.ai/learn/cern/3016655): Jack Y. Araz · CERN
- [Preservation and reuse of BSM searches: ATLAS review](https://invisiblenetwork.ai/learn/cern/3016324): Yvonne Ng · CERN
- [Welcome & introduction](https://invisiblenetwork.ai/learn/cern/3016323): Sabine Kraml · CERN
- [Implementation of ML searches in CheckMATE](https://invisiblenetwork.ai/learn/cern/3016357): Krzysztof Rolbiecki · CERN
- [Implementation of multi-bin searches in CheckMATE](https://invisiblenetwork.ai/learn/cern/3016355): Iñaki Lara Perez · CERN
- [The Emergence Proposal in Quantum Gravity and the Species Scale](https://invisiblenetwork.ai/learn/cern/3015525): Alvaro Herraez · CERN
- [Fullshape analysis of interacting DM and the S8 tension](https://invisiblenetwork.ai/learn/cern/3014388): Henrique Rubira · CERN
- [Dark Matter Constraints from Small-scale Structure](https://invisiblenetwork.ai/learn/cern/3014200): Ethan Nadler · CERN
- [Cosmological searches for Light (and Massive) Relics](https://invisiblenetwork.ai/learn/cern/3014114): Linda Xu · CERN
- [The Effective Field Theory of Large-Scale Structure (TH Colloquium)](https://invisiblenetwork.ai/learn/cern/3014075): Leonardo Senatore · CERN
- [Charting the first billion years with the cosmic 21cm signal](https://invisiblenetwork.ai/learn/cern/3006344): Andrei Mesinger · CERN
- [Cosmological signatures of dark photons](https://invisiblenetwork.ai/learn/cern/3014074): Hongwan Liu · CERN
- [Looking forward to New Physics at the LHC and HL-LHC: FASER and the FPF](https://invisiblenetwork.ai/learn/cern/3013935): Jamie Boyd · CERN
- [CMB constraints on dark matter interactions](https://invisiblenetwork.ai/learn/cern/3012306): Kimberly Boddy · CERN
- [Incomplete inflationary phase transitions](https://invisiblenetwork.ai/learn/cern/3013929): Michael Geller · CERN
- [Towards efficient cosmological predictions for extended cosmology](https://invisiblenetwork.ai/learn/cern/3013932): Julien Lesgourgues · CERN
- [Using synchrotron radiation to understand and manipulate particle beams](https://invisiblenetwork.ai/learn/cern/3000648): Sergei Nagaitsev · CERN
- [Non Linear Dynamics - Phenomenology II](https://invisiblenetwork.ai/learn/cern/3021190): Yannis Papaphilippou · CERN
- [HL-LHC I](https://invisiblenetwork.ai/learn/cern/3021188): Markus Zerlauth · CERN
- [HL-LHC II](https://invisiblenetwork.ai/learn/cern/3021189): Oliver Bruning · CERN
- [Viruses, physics, sci-fi and public health - mysteries and similarities](https://invisiblenetwork.ai/learn/cern/3014126): Julian W Tang · CERN
- [Beam-Beam effects](https://invisiblenetwork.ai/learn/cern/3021185): Xavier Buffat · CERN
- [Non Linear Dynamics - Phenomenology I](https://invisiblenetwork.ai/learn/cern/3021186): Yannis Papaphilippou · CERN
- [High Brightness Beam Diagnostics](https://invisiblenetwork.ai/learn/cern/3021187): Thibaut Lefevre · CERN
- [Non Linear Dynamics - Methods and Tools II](https://invisiblenetwork.ai/learn/cern/3021184): Yannis Papaphilippou · CERN
- [Non Linear Dynamics - Methods and Tools I](https://invisiblenetwork.ai/learn/cern/3021133): Yannis Papaphilippou · CERN
- [Muon Colliders I](https://invisiblenetwork.ai/learn/cern/3021130): Chris Rogers · CERN
- [Muon Colliders II](https://invisiblenetwork.ai/learn/cern/3021127): Chris Rogers · CERN
- [Landau Damping II](https://invisiblenetwork.ai/learn/cern/3021128): Xavier Buffat · CERN
- [Landau Damping I](https://invisiblenetwork.ai/learn/cern/3021135): Xavier Buffat · CERN
- [Optics calculations](https://invisiblenetwork.ai/learn/cern/3021147): Guido Sterbini · CERN
- [ERL I](https://invisiblenetwork.ai/learn/cern/3021144): Michaela Arnold · CERN
- [ERL II](https://invisiblenetwork.ai/learn/cern/3021139): Michaela Arnold · CERN
- [FEL II](https://invisiblenetwork.ai/learn/cern/3021137): Wolfgang Hillert · CERN
- [FEL I](https://invisiblenetwork.ai/learn/cern/3021141): Wolfgang Hillert · CERN
- [Insertion devices - Technology](https://invisiblenetwork.ai/learn/cern/3022240): Jim Clarke · CERN
- [Insertion devices - Radiation](https://invisiblenetwork.ai/learn/cern/3021801): Jim Clarke · CERN

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