Novinky: Fyzikální ústav

Scientific Research has recently evolved by performing data-driven modeling via machine learning (ML) techniques. ML is used to make machines "intelligent" by allowing them to learn from data (i.e. experience). Integrating ML in astrophysics can open new frontiers, revolutionize data analysis, and improve our understanding. However, challenges persist in deploying ML in Astrophysics research, including the need for robust algorithms, data limitations, and the interpretability of AI-driven decisions in critical scenarios. As advancements continue, ML and astrophysics exploration synergy promises groundbreaking discoveries and enhanced capabilities for humanity's endeavors beyond Earth's boundaries. This talk will explore the multifaceted potential applications of ML in multiple domains of astrophysics, for example, gravitational wave detection, exoplanet studies, astrochemistry.

Abstract:  NA62 is a fixed-target experiment at the CERN Super Proton Synchrotron studying rare decays of kaons and pions. Its primary objective is to measure the branching ratio of the ultra-rare decay of a charged kaon into a charged pion and two neutrinos. Additionally, the NA62 undertakes a diverse physics program that includes searches for new physics and precision measurements of other kaon and pion decays. In this seminar, I will present the recent results of the experiment, with a focus on contributions from our research group.    The seminar will be held in the main conference hall, Institute of Physics, Na Slovance 2, Prague 8. Location: https://goo.gl/maps/wEf7PsiLimSXMZhE9 For more info, see : https://indico.fzu.cz/event/245/ 

V úterý 8. dubna zemřel ve věku 95 let Peter Ware Higgs, britský teoretický fyzik, jehož jméno je neodmyslitelně spojeno s Higgsovým bosonem a Higgsovým mechanismem.

When primordial inhomogeneities are produced with sufficiently large amplitude in the early universe, they may subsequently collapse into primordial black holes. I will explain why the effect of quantum diffusion during inflation needs to be taken into account in such a case, and how the statistics of cosmological fluctuations can be predicted within the formalism of stochastic inflation. Quantum diffusion leads to a peculiar type of non-Gaussianity that cannot be captured by perturbative parametrisations. This leaves specific imprints on the statistics of collapsed structures that I will discuss. In particular, I will present recent results on the clustering of primordial black holes, which conditions the rate at which they merge and emit gravitational waves.