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Calendar of Physics Talks Vienna
| Bayesian tools for the LHC: a proof of concept in di-Higgs searches |
| Speaker: | Santiago Tanco (Universidad Nacional de La Plata, Argentinia) |
| Abstract: | Extracting reliable physical information from collider data requires a combination of mathematical, computational and statistical tools to model observed and expected distributions, often with the help of powerful simulations. When simulations cannot be fully trusted, data-driven approaches become indispensable. I will present Bayesian tools that provide a flexible, data-driven method for unsupervised training on probabilistic models of collider observables, highlighting their advantages for parameter inference and uncertainty estimation. I will illustrate these points in the context of pp > hh > bbbb searches, where recent analyses use a variation of the widely used data-driven "ABCD method". Within our framework, the ABCD method can be generalized and improved, especially when its assumptions are not exactly satisfied, leading to more robust background subtraction. Based on 2402.08001 |
| Date: | Tue, 28.10.2025 |
| Time: | 10:00 |
| Duration: | 60 min |
| Location: | PSK (Postsparkasse) meeting room 1 (in the 3rd floor) |
| Contact: | Claudius Krause (MBI Vienna) |
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