This is the first post of the blog “AMVA4NewPhysics”, and as goes with all “post 0” articles, it is not supposed to offer much content. Nevertheless, let me have a shot at that. My name is Tommaso Dorigo and I am the coordinator of the network. My goal for today is to explain who we are, what we do, and what kind of articles we wish to publish here in the next four years.

Logo of the AMVA4NewPhysics network

The AMVA4NewPhysics network is a consortium of eight beneficiary nodes (research institutes and Universities throughout Europe) and seven academic and non-academic partners. We have joined efforts to get funded by the European Community (specifically, the European Research Council) to develop new multivariate applications for physics analysis in high-energy physics. On May 12th this year we got the good news: the EU likes our project, and so here we are…

The majority of our  participating institutions collaborate with the ATLAS and CMS experiments at the CERN LHC collider. But the consortium also includes two Statistics Departments, one center for Machine Learning, and companies specialized in data analysis and Statistical Learning applications.

The CERN LHC collider (Image: ©CERN)
The main goals of the network are three.

We aim at creating an innovative training network for PhD students, offering them a rich and stimulating environment where they will work at High-Energy Physics problems (which will eventually be the topic of their thesis) and develop advanced multi-variate algorithms. A second goal is to develop new Statistical Learning tools for advanced data analysis in particle physics and possibly other applications. And the last and most ambitious goal of our network is, of course, to use those tools to discover new physics with the Large Hadron Collider!

Our students will be very busy, as they will attend many schools and workshops on topics ranging from machine learning to parallel computing, from matrix-element calculations of physics processes to statistics for data analysis, from gender training to software tutorial courses (in MatLab, RooStats, etcetera). They will spend several months doing internships in partner companies or visiting the nodes of the network, to join forces and improve the productivity of our consortium.

Having been among the guys and gals who designed this network in the first place, let me tell you that the next four years -the life span of our programme- will surely be interesting, as we will produce several scientific papers and algorithms, organize workshops and schools and get engaged in outreach projects. It is a thick agenda and we must be tidy if we want to deliver according to our promises.

The LHC has just restarted its heavy ion collision program. This is an event display from the CMS experiment. (Image: CMS ©CERN)

And what about this blog? This blog will be the outlet of our work-in-progress reports, the forum where we will offer our impressions on the ongoing activities, our successes or frustrations, a place to tell our daily activities; and, what’s most important, a place where we will do science outreach. We will publish here articles that explain, at a varying level of complexity, the science we study, and the output of our work.

So if you are interested in particle physics, and/or in machine learning, this blog will be a place to watch!

The participants

As goes with all collaborative blogs, this column requires some babysitting to work well. We are happy to have an editor, Dr. Sabine Hemmer, who will organize the material and ensure that t’s are crossed and i’s are dotted. Dr. Hemmer is the press office coordinator for our network.

A full list of the network participants (complete with mugshots!) is provided at The eight institutions who constitute the core of the network are INFN-Padova, the University of Padova, the University of Oxford, the Universite’ Catholique de Louvain, the Universite’ Blaise Pascal in Clermont-Ferrand, the LIP laboratory in Lisbon, the CERN laboratories in Geneva, and the IASA institute in Athens.

The participants are all expected to contribute here; but we expect in particular contributions from the ESRs (Early-Stage Researchers), the 10 graduate students that the beneficiary nodes are in the process of hiring. By the way, if you recently graduated in a scientific discipline less than 4 years ago and want to get a PhD in physics with us, do not forget to visit the calls section of our website,, where we are currently advertising two openings, and will soon open four more. We offer competitive salaries and, as I said already, an exciting research program!

(Written by T. Dorigo)