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AMVA4NewPhysics

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

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ESR experience

From Stars To Particles

by Ioanna Papavergou

Hi there! As this is my first post at the blog let me introduce myself. My name is Ioanna Papavergou and I am the new ESR of the AMVA4NewPhysics selected for the position at IASA in Athens. I was born and raised in Kavala, a small city by the sea located in the northern part of Greece.

Physics was my passion since high school and so there was no other option to me than studying Physics during my undergrad studies, getting my Bachelor degree from Aristotle University of Thessaloniki. During the Continue reading “From Stars To Particles”

My First Time at CMS

by Alessia Saggio

Every year, my university organizes a trip to CERN for Bachelor’s students only, to give them the chance to get acquainted with the world of Particle Physics before starting the Master. This year I was one of the three PhD students who accompanied them, and I thought it would be nice to share my feelings here with you since it was a really nice experience.

In fact, it was my fourth time at CERN, but despite that I had never had the chance to visit the CMS detector, the experiment Continue reading “My First Time at CMS”

Dark Matter Hunting at the LHC

by Seng Pei Liew

photo1Hello there! My name is Seng Pei Liew, and I am the “Marie Sklodowska-Curie Actions” Innovative Training Network (AMVA4NewPhysics) early-stage researcher based at the Technische Universitat Munich (TUM). I am tasked in the network to look for new physics at the Large Hadron Collider (LHC) using advanced statistical tools. In my very first article here, I would like to talk Continue reading “Dark Matter Hunting at the LHC”

Understanding Neural-Networks: Part II – Back-propagation

by Giles Strong

Welcome back to the second part of my introduction into how neural-networks function! If you missed the first part, you can read it here.

When we left off, we’d understood that a neural network aims to form a predictive model by building a mathematical map from features in the data to a desired output. This map takes the form of layers of neurons, each applying a basic function. The map is built by altering the weights each neuron applies to the inputs. By aiming to minimise the loss function, which characterises the performance of the network, the optimal values of these weights may be learnt. We found that this can be a difficult task due to the large number of free parameters, but luckily the loss function is populated by many equally optimal minima. We simply need to reach one, and can therefore employ the gradient descent algorithm. Continue reading “Understanding Neural-Networks: Part II – Back-propagation”

Some More Info on the IML Workshop

by Giles Strong

Below is a short summary of the IML workshop at CERN, which Markus Stoye has also reported on in the previous post.

Day 1 was a discussion with industry experts about the state and future of ML. In the afternoon there was work on the community white-paper that the IML plans to publish. This document is meant to be a road-map for where we want HEP to be in 10 years time with regards to ML. The proto-document is Continue reading “Some More Info on the IML Workshop”

Fighting Gender Bias

by Tommaso Dorigo

As the few regulars of this blog know, the AMVA4NewPhysics network has in its genes a strong will to fight for gender neutrality in its areas of operation – research in Particle Physics and Applied Statistics. We started off this endeavour 2.5 years ago by including three women as PI of beneficiary nodes out of a total of eight, which was *almost* good. But their research record was outstanding, too, which helped us getting funded!

So that was easy. What was less easy was to deliver what we promised in our programme – a hiring practice capable of producing a gender-balanced pool Continue reading “Fighting Gender Bias”

On the origins of “hysteresis”

by Fabricio Jimenez

A few years ago, back when I was a Summer Student at CERN, me and other physics students had some debate on the origins of the word “hysteresis.” We were just coming back from CinéTransat – an open-air cinema at La Perle du Lac park in Geneva, and having a random chat until Sabina jokingly accused Josefa of being hysteric, for a reason I can’t remember right now. From there, they started a discussion on how the word “hysteric” was related to “uterus” (at some point in the past, hysteria was defined as a psychological disorder related to the organ), and to “hysterectomy” (the removal Continue reading “On the origins of “hysteresis””

Tales of a nomadic researcher

by Pablo de Castro

This is a short essay about the perks and quirks of living away and travelling as part of the job description, which is part of the deal when you join a Maria Skłodowska-Curie Innovative Training Network (ITN) as AMVA4NewPhysics and might apply for the most part to other research positions. The points made here are based on my own personal experiences and discussions with people in analogous situations. I am eager to hear your thoughts regarding this matter in the comment section!

Continue reading “Tales of a nomadic researcher”

Female Scientists On Woman’s Day

by AMVA4NewPhysics Press Office

Today is March 8th – the day internationally devoted to women. And we in AMVA4NewPhysics are sensitive to the subject of raising awareness in the themes of relevance to this day across the world. Discrimination of people based on sex is just as bad as it is any other form of discrimination (based on creed, race, and other categorizations). And we know that women in practically all countries of the world suffer from discrimination that causes them to receive lower wages for the same job, to have fewer chances of career advancement, to have fewer job opportunities, to Continue reading “Female Scientists On Woman’s Day”

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