Tag: Special Feature
-
Systematic uncertainties: the new target of Machine Learning for HEP
Systematic uncertainties: the new target of Machine Learning for HEP The accurate measurement of physical constants is one of the main goals of research in subnuclear physics. On one side, it improves our ability to represent physical reality through our theoretical models, which opens the way to more stringent tests of our understanding of Nature;
-
How to search for new physics without knowing about it?
How to search for new physics without knowing about it? BSM searches at the LHC increasingly profit from ML techniques since this approach allows more general searches that minimise the probability of missing evidence of new physics. Very recently, the ATLAS collaboration has published a novel approach [1], based on weakly unsupervised ML techniques, to
-
Interview with Andrei Linde
Interview with Andrei Linde Andrei Linde is Harold Trap Friis Professor of Physics at Stanford University and one of the most influential cosmologists of our time. Linde is one of the authors of the inflationary universe scenario, which is gradually becoming the standard paradigm of modern cosmology, replacing the previous versions of the big bang
-
Special Feature Title 2
Special Feature Title 2 The standard Lorem Ipsum passage, used since the 1500s "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit
-
Special Feature Title
Special Feature Title The standard Lorem Ipsum passage, used since the 1500s "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in