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AMVA4NewPhysics

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

Staying at CERN

by Giles Strong

Bonjour! As I write, I’m three weeks into my month long secondment at CERN, near Geneva. CERN, home to the Large Hadron Collider, is the world’s largest particle-physics research centre. It is also the location of the CMS experiment, which I work on. Continue reading “Staying at CERN”

Having a taste of business

by Greg Kotkowski

I have spent the last three months in the SDG company in Milan for my private sector secondment, which is a part of my contract. During this time I was able to have a closer look at how it is to work in a consulting company and to put my hands on real business problems. Herein, I want to summarise some of my experiences and deliberate on the R language – an inseparable friend of statisticians. Continue reading “Having a taste of business”

Efficiency revisited

by Giles Strong

Cover photo unrelated – it’s just some rad fractal broccoli.

Just over one and a half years ago I wrote a post on some of the tips and tricks I’d found useful in trying to organise myself and improve my efficiency. Searching for a post topic, it was suggested that I revisit this to compare how my workload and approaches have changed, so here goes! Continue reading “Efficiency revisited”

Shame, shame, shame

by Pietro Vischia

No, I’m not talking about A Game of Thrones, although I personally consider it a shame that the last season will arrive — or so it seems — only in 2019.

What I am talking about is some possible shameful self-promotion in the content of this post. Continue reading “Shame, shame, shame”

On the Qualification of Reviewers for Scientific Articles

by Tommaso Dorigo

Peer review is the backbone of high quality scientific publications. Although the idea that only articles that are approved by a set of anonymous nitpickers can ever see the light of publication on “serious” journals is old and perfectible, there is currently no valid alternative to identify verified, rigorous scientific work, and to filter out unsubstantiated claims, and methodologically unsound results – the scientific analogue of “fake news”.
In practice, the method works as follows. A scientific journal receives an offer to publish an article by a scientist or team of scientists, or identifies a suitable author(s) for a review paper. A preliminary version of the article is then produced, at which point the editors of the journal then look for Continue reading “On the Qualification of Reviewers for Scientific Articles”

Multidimensional Scaling of National Holidays

by Greg Kotkowski

Living abroad brings a lot of experience and surprises. One of them is to enjoy countries’ diversity and customs for particular holidays that are not celebrated in the homeland. The other thing is when you discover on your calendar a vacation day due to some national event about which you had no idea. Another time, national vacations could bring troubles when it comes to cooperation between nodes in different countries. Continue reading “Multidimensional Scaling of National Holidays”

Deliverable 4.2 Is Out

by Tommaso Dorigo

I am happy to report that an important new product of the AMVA4NewPhysics ITN is now public. This is generically titled “Report on a Statistical Learning Method for Model-Independent Searches for New Physics“, and labeled D4.2 as per the grant agreement we signed with the European Union. The document is available at the following link:

http://www.pd.infn.it/%7Edorigo/D4.2.pdf

What is this document about ? It is a description of the studies for the development of a software package aiming at automating the searches for new physics in LHC data, by evidencing anomalous clusterings of events that are hard to explain with known physics processes. I am sure that Fabricio and Grzegorz, the two main developers of the software (Deliverable 4.3, available on github at https://github.com/Grzes91/PenalizedAD) and its documentation (D4.2) will be happy to post in this blog a more complete description of the new package and its possible uses in particle physics research.

Adjusting hyper-parameters: First step into Bayesian optimisation of DNNs

by Giles Strong

A few months ago I wrote about some work I was doing on improving the way a certain kind of particle is detected at CMS, by replacing the existing algorithm with a neural network. I recently resumed this work and have now got to the point where I show significant improvement over the existing method. The design of the neural network, however, was one that I imported from some other work, and what I want to do is to adjust it to better suit my problem. Continue reading “Adjusting hyper-parameters: First step into Bayesian optimisation of DNNs”

The L1 muon trigger algorithms

by Ioanna Papavergou

The last CMS week of the year was held two weeks ago, summarizing all the upgrades and changes that happened in 2017, but also the plans of the groups for 2018. Since my service work concerns the L1 muon trigger performance, I was asked by the data performance group conveners to give a talk about the muon trigger algorithms and the improvements that happened last year. Continue reading “The L1 muon trigger algorithms”

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