Seminar
09 Jun, 2021 - 17:00
FOCUS MEETING "The Precision Potential of the (HL-)LHC"
Fabio Maltoni (Bologna U.), Andrea Wulzer (CERN & EPFL, Padova U.)
Abstract
ABSTRACT
The data collected at the LHC and its High-Luminosity successor over the next 20 years will enable a multitude of precise experimental measurements in the Electroweak, Higgs and Top sectors, potentially leading to a systematic program of exploration at the frontier of fundamental physics. The design of this program and its exploitation requires multiple forms of theoretical input, ranging from the definition of the target measurements and their implications on putative new physics scenarios to the development of sufficiently accurate and easily available theoretical predictions as well as of novel analysis data techniques that will be needed to deal with the amazing richness and complexity of the LHC data. In this Focus Meeting, Fabio Maltoni and Andrea Wulzer will review the current status of the field and give a perspective on the future challenges.
BIO
Fabio Maltoni obtained his PhD at the University of Pisa. He was a postdoc at U. Turin, UIUC, Centro Enrico Fermi and CERN. In 2006 he moved to the Université Catholique de Louvain, while now is professore at U. Bologna. His research interests are focussed on QCD and collider physics, especially related to new physics searches at high energy and precision tests of the Standard Model of particle physics. He introduced the event generator "MadGraph", which is a tool used by the entire high energy community to simulate particle physics processes at colliders.
BIO
Andrea Wulzer received his PhD from the International School for Advanced Studies in Trieste. He held postdoctoral positions at Barcelona, EPFL Lausanne, ETH Zurich, and then moved to University of Padua. He currently holds a joint position at CERN and EPFL Lausanne. His research spans several aspect of physics beyond the Standard Model and he gave several contributions to the field of composite Higgs theories. Recently his focus is on precision tests of the Standard Model, future colliders and machine learning applied to particle physics.
