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AMVA4NewPhysics

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

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Statistics

Invitation to Astro@Stats 2017

by the AMVA4NewPhysics press office

On September 8, 2017 the Department of Statistical Sciences of the University of Padova will host Astro@Stats 2017, a Sino-Italian Workshop on Astrostatistics. Continue reading “Invitation to Astro@Stats 2017”

My impressions on the RooStats Tutorial

by Greg Kotkowski

On the 19th of May I was very glad to take part in the RooStats tutorial organised by the AMVA4NewPhysics Network as a part of a workshop in Oviedo. RooStats is a ROOT library that uses the “RooFit” package, and provides classes to perform statistical analysis. The tutorial was attended by all the ESR from our Network, among which I was the only non-physicist. I am a statistician who does not use ROOT at all. For this reason, my attendance at the tutorial could seem Continue reading “My impressions on the RooStats Tutorial”

AMVA4NewPhysics: Fully-Armed and Operational!

by Giles Strong

Just in time for our 4th all-network workshop, the AMVA4NewPhysics ITN reached full capacity with the addition of the two final ESRs, Seng (Munich) and Ioanna (Athens). The aforementioned workshop was hosted by the University of Oviedo, itself a recent addition to network, and organised by our outreach officer, Pietro, who did Continue reading “AMVA4NewPhysics: Fully-Armed and Operational!”

INSIGHTS: a New Little Brother for AMVA4NewPhysics

by the AMVA4NewPhysics Press Office

AMVA4NewPhysics has a little brother, INSIGHTS. The latter is in fact young but not so little, as it starts big: it is a new ITN that has just been approved and will be funded for four years with 3.14 million euros, starting in September 2017. Like AMVA4NewPhysics, INSIGHTS is a child of the marriage of particle physics and statistics, and like AMVA4NewPhysics it will train highly-skilled graduate students on a wide range of topics, bringing interdisciplinarity into their genes. Finally, like its older brother, INSIGHTS has INFN as a beneficiary partner, and it will bring funding to its Naples and Padova section, in the latter case with Dorigo, who is also the scientific coordinator of AMVA4NewPhysics, as PI.

It is important to recall that the whole concept of the ITN institution, one of the “Marie-Curie Actions” of the Research Executive Continue reading “INSIGHTS: a New Little Brother for AMVA4NewPhysics”

Understanding Neural-Networks: Part IV – Improvements & Advantages

by Giles Strong

Welcome to the final instalment of my series on neural networks. If you’re just joining us, previous parts are here, here, and here.

Last time we looked at how we can could fix some of the problems that were responsible for limiting the size of networks we could train. Here we will be covering some additions we can make to the models in order to further increase their power. Having learnt how to build powerful networks, we will also look into why exactly neural-networks can be so much more powerful than other methods.
Continue reading “Understanding Neural-Networks: Part IV – Improvements & Advantages”

Do Not Name Him Donald!

by Grzegorz Kotkowski

Recently I’ve encountered an interesting article about the trends of the female names in the US. It shows the impact of the famous Disney Movies on the names that are given to the newborns. As the “Frozen” movie has become very popular a lot of girls born in 2014 got names as Elsa or  Merida.

I want to consider the same dataset in order to perform the analogous analysis but for names of the US presidents. My guess is that it should well represent if a Continue reading “Do Not Name Him Donald!”

AMVA4NewPhysics Deliverable 4.1: Report of the Performance of Algorithms for Data-Driven Background Shape Modeling

by AMVA4NewPhysics press office

And here it is, the second – but really synchronous in publication with the first – scientific deliverable of our network. Deliverable 4.1, titled “Report of the Performance of Algorithms for Data-Driven Background Shape Modeling“, is a report of studies performed by network members operating within Work Package 4, also known as “New Statistical Learning Tools for HEP Analysis“.

The research presented in this document aims at constructing a precise representation of background processes to searches for small signals in hadron collider data. Specifically, we focused on the multijet QCD background, Continue reading “AMVA4NewPhysics Deliverable 4.1: Report of the Performance of Algorithms for Data-Driven Background Shape Modeling”

Padova: What to Expect

by Fabricio Jimenez

The time for my first secondment is about to arrive and I have to say that reading previous stories in this blog has set the bar high for this new experience. We are aiming to start a collaborative work between my lab at Blaise Pascal University and the Statistics Department at the University of Padova (UNIPD), with two secondments planned: mine during next February in Padova and Greg’s here in Clermont-Ferrand in a Continue reading “Padova: What to Expect”

How to win in Catan

by Grzegorz Kotkowski

During the Christmas and New Year’s vacation I got introduced to Catan board game (Settlers of Catan). It is a popular (classic) game – far more complex and entertaining than simple dices-throwers like for example “Monopoly”. I would like to share with you my opinion and strategies about it.

First of all as a statistician and a person who likes to win I always try to play the optimal strategy. Some people would call me a soulless Continue reading “How to win in Catan”

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