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AMVA4NewPhysics

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

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Statistics

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”

CERN from the inside

by Grzegorz Kotkowski

Since the beginning of October I have been in secondment at CERN. I expressed my first feelings about this complex research center in my post “CERN at first sight”. Two months have passed and my former admiration has settled down. The common days allowed me to get accustom to it and eventually I could focus on my work.

Throughout this time I have participated in numerous seminars and speeches. As I am not a physicist some of them were difficult for me to follow, but eventually Continue reading “CERN from the inside”

Brazil Bands: What Are They ?

by Tommaso Dorigo

As I am traveling around Europe this week, giving seminars in several places (Hamburg yesterday, Berlin today, and Clermont-Ferrand on Friday) my connectivity is erratic and my capability to follow the development of data analysis and new publications is strongly lowered. My connections to the world of LHC research continues through email exchanges, though.

One thread I found in my mailbox this morning developed from a question on the use and meaning of the so-called “Brazil Bands”, a feature of Continue reading “Brazil Bands: What Are They ?”

Story of a Failed Resonance

by Tommaso Dorigo

The DZERO collaboration published earlier this year a search for resonances decaying to  pairs in its Run-2 dataset of 2-TeV proton-antiproton collisions, produced by the now defunct Tevatron collider in the first 10 years of this century. Starting from a sample of about 5600 B_s events, they surprisingly claimed Continue reading “Story of a Failed Resonance”

Comparing characters

by Greg Kotkowski

A week ago I performed elementary text mining of the network Grant Agreement document, which was described in the post Summarizing documents. Pablo has suggested to scrap also our blog, as it might have some interesting information. Well, I took his suggestion seriously.

Downloading all the content from the blog turned out to be quite an easy task. I exploited the Continue reading “Comparing characters”

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