Multiple observations of phenomena which cannot be explained in the Standard Model suggest that we need new physics beyond what we already know. The proliferation of theories in the last decades and the absence of direct observation of new phenomena at the LHC suggests to develop analysis strategies as model-independent as possible, yet suitable to be applied in experimental searches at current or next-generation colliders. One of the critical points in performing this kind of phenomenological analyses is that, very often, large parameter scans are necessary: intensive and often redundant MC simulations have to be performed to cover relevant regions of signal parameter space and achieve enough accuracy in the determination of signal features. On the other hand, disk space and computing time are often limited, and the environmental impact of performing such computations is almost never taken into consideration. There is a growing need to devise strategies to optimise data production and share resources in the HEP community, both theory and experiment. I will describe a framework which allows such approach, where simulated signal samples are deconstructed into complete sets of basic elements to be combined a posteriori to perform different analysis. The framework is modular, collaborative, flexible and resource-friendly. I will describe it through concrete examples for specific phenomenological analyses and indicate possible short- and long-term developments and applications.
I will overview our recent advances in studies of various phenomenological implications of multi-Higgs extensions of the Standard Model constrained by additional horizontal (flavour) symmetries, both gauged and global. A particular focus would be on singlet-extended SM, 2HDMs + singlet and 3HDMs, with some of their basic implications on Higgs and flavour physics, as well as on possible detection of primordial gravitational waves.
Looking at the Earth's interior with neutrinos is a realistic possibility with current and future neutrino detectors, which is complementary to geophysics methods, but it is based purely on weak interactions. In this talk, I will discuss the two main approaches to perform Earth tomography with neutrinos: (i) neutrino absorption tomography, based on partial absorption of a neutrino flux as it propagates through the Earth (at energies about a few TeV) and (ii) neutrino oscillation tomography, based on coherent Earth matter effects on the neutrino oscillatory pattern (at energies below a few tens of GeV). I will first discuss (i) and present the first neutrino tomography of Earth using actual IceCube data. Then, I will discuss (ii) and, in particular, I will focus on supernova neutrinos with tens of MeV.
In this presentation we will report on a new information theoretic perspective for understanding the Exact Renormalization Group (ERG). In particular, by utilizing the picture of an ERG flow as a functional diffusion process, we shall outline how renormalization can be understood as an inverse process dual to a dynamical Bayesian inference scheme. A salient feature of this correspondence is that it identifies the Fisher information metric as an emergent renormalization scale related to the precision with which nearby points in model/theory space can be differentiated. This introduces new possibilities for the implementation of renormalization to systems with spatially non-local interactions, or even systems without any notion of spatial locality at all.
Recent developments on the black hole information problem have shown how the quantum extremal surface (QES) prescription may be used to obtain a Page curve and reproduce the Hayden-Preskill decoding criterion. In this talk, I will use the QES prescription to study when the information content of an object which falls into a black hole may be recovered in the radiation, in a model of JT gravity. I will show how the backreaction on the geometry created by the infalling object can be solved exactly in this model and how this allows us to reproduce the decoding criterion but with some refinements.