# From CERN

19,166 courses and talks.

- [Z'-explorer: confronting Z' models against LHC data](https://invisiblenetwork.ai/learn/cern/3019972): Rosa María Sandá Seoane · CERN
- [Open Science Needs Open Likelihoods](https://invisiblenetwork.ai/learn/cern/3019991): Harrison Prosper · CERN
- [ATLAS approach to releasing likelihoods for reinterpretation](https://invisiblenetwork.ai/learn/cern/3019992): Eric Schanet · CERN
- [A shortcut to new physics: using the archive of LHC measurements to constrain BSM models](https://invisiblenetwork.ai/learn/cern/3019979): Martin Habedank · CERN
- [SModelS v2.0: new features and developments](https://invisiblenetwork.ai/learn/cern/3019978): Andre Lessa · CERN
- [New and future developments in MadAnalysis 5 for LHC recasting](https://invisiblenetwork.ai/learn/cern/3019990): Jack Araz · CERN
- [Introduction and overview of the workshop](https://invisiblenetwork.ai/learn/cern/3019971): Sabine Kraml · CERN
- [Likelihoods and more at LHCb](https://invisiblenetwork.ai/learn/cern/3001133): Patrick Haworth Owen · CERN
- [Is there a ‘Hydrogen Atom’ of Biology?](https://invisiblenetwork.ai/learn/cern/3019859): Petra SCHWILLE · CERN
- [A Pythia/Angantyr perspective on OO and pO collisions](https://invisiblenetwork.ai/learn/cern/3019858): Christian Bierlich · CERN
- [Hadronic interactions and air showers : the need of Oxygen beam with LHCf](https://invisiblenetwork.ai/learn/cern/3019806): Tanguy Pierog · CERN
- [LHCf motivations and prospects of p-O collisions](https://invisiblenetwork.ai/learn/cern/3019628): Alessio Tiberio · CERN
- [STAR contribution](https://invisiblenetwork.ai/learn/cern/3002774): Wei Li · CERN
- [LHCf achievements at pp and pPb](https://invisiblenetwork.ai/learn/cern/3019727): Hiroaki Menjo · CERN
- [sPHENIX contribution](https://invisiblenetwork.ai/learn/cern/3019807): Dennis Perepelitsa · CERN
- [ALICE goals and projections for hard probes measurements](https://invisiblenetwork.ai/learn/cern/3019519): Vytautas Vislavicius · CERN
- [Oxygen beams and LHCb: prospects of collisions with fixed-targets](https://invisiblenetwork.ai/learn/cern/3019524): Giacomo Graziani · CERN
- [Physics opportunities with oxygen collisions in CMS](https://invisiblenetwork.ai/learn/cern/3018630): Michael Murray · CERN
- [ALICE goals and projections for flow and hadron production/interaction measurements](https://invisiblenetwork.ai/learn/cern/3014315): Igor Altsybeev · CERN
- [ATLAS contribution](https://invisiblenetwork.ai/learn/cern/3019521): Anne Marie Sickles · CERN
- [Oxygen beams and LHCb: prospects of pO and OO collisions for nuclear and astroparticle physics](https://invisiblenetwork.ai/learn/cern/3019523): Hans Peter Dembinski · CERN
- [$\gamma$-hadron spectra in $p$ + Pb collisions at $\sqrt{s_{\rm NN}}=5.02$ TeV](https://invisiblenetwork.ai/learn/cern/3016064): Man Xie · CERN
- [Current status of nPDFs and prospects for pO and OO collisions](https://invisiblenetwork.ai/learn/cern/3019487): Petja Paakkinen · CERN
- [Discovering partonic rescattering in light nucleus collisions](https://invisiblenetwork.ai/learn/cern/3019488): Alexander Yohei Huss · CERN
- [Jet Quenching from light to dense systems](https://invisiblenetwork.ai/learn/cern/3019489): Liliana Apolinario · CERN
- [The elusive energy loss signal of the Quark Gluon Plasma in OO collisions](https://invisiblenetwork.ai/learn/cern/3019490): Jacquelyn Noronha-Hostler · CERN
- [Microstates of supersymmetric black holes in AdS5](https://invisiblenetwork.ai/learn/cern/3019342): Sameer Murthy · CERN
- [Collectivity and QGP signals in Large and Small systems](https://invisiblenetwork.ai/learn/cern/3019332): Wenbin Zhao · CERN
- [The Web of Swampland Conjectures in String Theory](https://invisiblenetwork.ai/learn/cern/3019343): Irene Valenzuela · CERN
- [Multiplicity and flow in O+O collisions from the EKRT model](https://invisiblenetwork.ai/learn/cern/3015358): Harri Niemi · CERN
- [Bayesian Analysis of Oxygen-Oxygen Collisions](https://invisiblenetwork.ai/learn/cern/3019335): Govert Nijs · CERN
- [Dynamical Modeling of the Collectivity in pO and OO Collisions](https://invisiblenetwork.ai/learn/cern/3019333): Chun Shen · CERN
- [Hadron yield ratios in dynamical core-corona initialization from small to large systems](https://invisiblenetwork.ai/learn/cern/3010942): Yuuka Kanakubo and Tetsufumi Hirano · CERN
- [The Web of Swampland Conjectures in String Theory](https://invisiblenetwork.ai/learn/cern/3019346): Irene Valenzuela · CERN
- [Microstates of supersymmetric black holes in AdS5](https://invisiblenetwork.ai/learn/cern/3019337): Sameer Murthy · CERN
- [Initial state and non-equilibrium dynamics in small and large systems](https://invisiblenetwork.ai/learn/cern/3000374): Soeren Schlichting · CERN
- [Luminosity determination with heavy-ion beams at the LHC](https://invisiblenetwork.ai/learn/cern/3019263): Martino Gagliardi · CERN
- [LHC machine scenario for a short oxygen run](https://invisiblenetwork.ai/learn/cern/3019262): Roderik Bruce · CERN
- [Eccentricities in collisions with 16O and 12C](https://invisiblenetwork.ai/learn/cern/3002880): Wojciech Broniowski · CERN
- [Preparing the CERN Ion Injector Chain for an LHC Oxygen Run](https://invisiblenetwork.ai/learn/cern/3019258): Reyes Alemany Fernandez · CERN
- [Gravitational Waves: The Field Theorist’s Approach](https://invisiblenetwork.ai/learn/cern/3019268): Rafael Porto · CERN
- [Microstates of supersymmetric black holes in AdS5](https://invisiblenetwork.ai/learn/cern/3007012): Sameer Murthy · CERN
- [The Web of Swampland Conjectures in String Theory](https://invisiblenetwork.ai/learn/cern/3019271): Irene Valenzuela · CERN
- [The Web of Swampland Conjectures in String Theory](https://invisiblenetwork.ai/learn/cern/3019273): Irene Valenzuela · CERN
- [Web-Based Analysis at CERN](https://invisiblenetwork.ai/learn/cern/3019218): Diogo Castro, Enric Tejedor Saavedra and Prasanth Kothuri · CERN
- [Gravitational Waves: The Field Theorist’s Approach](https://invisiblenetwork.ai/learn/cern/3019178): Rafael Porto · CERN
- [Black hole information and spacetime wormholes](https://invisiblenetwork.ai/learn/cern/3019162): Henry Maxfield · CERN
- [Black hole information and spacetime wormholes](https://invisiblenetwork.ai/learn/cern/3019170): Henry Maxfield · CERN

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