A Marie Sklodowska-Curie ITN funded by the Horizon2020 program of the European Commission


April 2019

Q & A on AMVA4NewPhysics

by Tommaso Dorigo

It is a very good thing that the European Commission pays close attention to document the work of the projects that benefited of its funding. So, for instance, the AMVA4NewPhysics network has been described, along with its goals, in a 2016 article on the Horizon magazine.

Since the network is nearing the end of its lifetime, I was asked to provide some information for an update of the above article. I think it is useful to share the questions and my own answers below. Of course, the mentions I made below of some of the network output are only a partial representation, and are Continue reading “Q & A on AMVA4NewPhysics”

Accelerating the search for Dark Matter with Machine Learning

by Tommaso Dorigo

The topic of algorithms that may dramatically improve our statistical inference from collider data is dear to my heart, and has been so since at least two decades (my first invention, which has now become what is called the “inverse bagging” algorithm, is dated 1992, when nobody even knew what bagging was). But now _everybody_ appears to be interested in the topic, and that means all of my particle physics and astroparticle physics colleagues.

A way to gauge the interest of the community on this topic is the number of gatherings to discuss advancements in the field and their impact in experimental research in fundamental science. If I look back at just the past few months, Continue reading “Accelerating the search for Dark Matter with Machine Learning”

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