In the past decade, Astrochemistry has witnessed an impressive increase in the number of detections of new molecular species in space. The majority of these detections are related to complex organic molecules (or COMs), defined as carbon-based compounds with more than five atoms in their molecular structure.

Interestingly, some of these complex organics are of prebiotic interest and, hence, they are believed to be involved in the first biochemical processes that led to life.

Next Thursday, 14 May, “Hasta la física y más allá: próxima parada, el futuro” will take place: a science outreach event that will bring together students, researchers and science communicators for an afternoon devoted to some of the most fascinating questions in contemporary physics.

Recent astronomical observations have revealed that magnetic fields permeate not only galaxies and clusters, but also the voids and filaments of the cosmic web. The origin of these large-scale magnetic fields remains an open problem, but comparisons with cosmological MHD simulations favour scenarios in which these magnetic fields were produced in the very early Universe. If confirmed, such primordial magnetic fields would offer a unique observational probe of the first microseconds after the Big Bang, potentially connected to physics beyond the Standard Model.

Extracting reliable information from collider data requires a combination of mathematical, computational and statistical tools to model the observed distributions, often with the help of powerful simulations. But when simulations cannot be fully trusted, data-driven approaches become indispensable. In this talk, I will present probabilistic and 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.