About EPJ

The European Physical Journal (EPJ) is a series of peer-reviewed journals covering the whole spectrum of physics and related interdisciplinary subjects. EPJ is committed to high scientific quality in publishing and is indexed in all main citation databases.

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Latest news

EPJ TI publishes two tutorial style articles from the group of Sebastiaan van de Meerakker

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As part of the new Thematic Series ”Methods for Cold Molecules and Ions: Tutorial Reviews” (Guest Eds. Stefan Willitsch, Hendrick Bethlem, Bob Continetti), EPJ Techniques and Instrumentation features two tutorial style articles from the group of Sebastiaan van de Meerakker (Radboud University, Netherlands).

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EPJ TI Review - Merged neutral beams

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A new review article has just been published in EPJ Techniques and Instrumentation, opening a new Thematic Series ”Methods for Cold Molecules and Ions: Tutorial Reviews” (Guest Eds. Stefan Willitsch, Hendrick Bethlem, Bob Continetti).

Merged neutral beams (EPJ Techniques and Instrumentation 2015, 2:10) by Andreas Osterwalder (EPFL, Switzerland) presents a detailed description of a merged beam apparatus for the study of low energy molecular scattering. In the experiment performed, a supersonic expansion of paramagnetic particles is merged with one of polar molecules, whilst a magnetic and an electric multipole guide are used to bend the two beams onto the same axis. Intended to inform any scientist who plans to construct a similar experiment, the article describes in detail how the apparatus was designed, characterised, and operated.

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EPJ Data Science Highlight - What 15 years of mobile data can say about us

Sample of a mobile phone network, obtained with a snowball sampling
© Blondel et al.

Mobile communication has not shrunk the world as expected, according to an overview of big data analysis revealing the nature of our social interactions with greater accuracy than ever before.

Large-scale anonymised datasets from mobile phones can give a better picture of society than ever before available. Mobile phone use helps us understand social networks, mobility and human behaviour. A review article recently published in EPJ Data Science highlights the main contributions in the field of mobile phone datasets analysis in the past 15 years. Vincent Blondel from the Université Catholique de Louvain, in Belgium, and colleagues conclude, among other things, that predictions that the world would shrink into a small village have not completely materialised as distance still plays a role. Meanwhile, individuals appear to have highly predictable movements as populations evolve in a remarkably synchronised way.

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