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Boost your skills in research data management!

The ETH RDM Summer School furnishes early-career scientists with a comprehensive understanding of research data management. Following a practice-oriented approach, you will learn the basics and the most important tools and boost your FAIR Data skills. Read more

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Whose data is it, anyway? Research data management today.

Under the motto “whose data is it, anyway?”, the ETH Library and Scientific IT Services will be celebrating their love for data from 10 to 14 February 2025 and jointly providing insight into research data management. Read more

  

Recently Added 

  1. Measurement of multidifferential cross sections for dijet production in proton–proton collisions at s=13TeV 

    Zhokin A.; Zhizhin I.; Zarubin A.; et al. (2025)
    The European Physical Journal C
    A measurement of the dijet production cross section is reported based on proton–proton collision data collected in 2016 at s=13TeV by the CMS experiment at the CERN LHC, corresponding to an integrated luminosity of up to 36.3fb-1. Jets are reconstructed with the anti-kT algorithm for distance parameters of R=0.4 and 0.8. Cross sections are measured double-differentially (2D) as a function of the largest absolute rapidity |y|max of the two ...
    Journal Article

  2. Introduction. Jeu sérieux: comment évaluer aujourd'hui cet outil après presque un demi-siècle de pratiques en France ? 

    Dernat S.; Grillot M.; Guerrier F.; et al. (2024)
    Natures Sciences Societes
    Journal Article

  3. Measurement of the double-differential inclusive jet cross section in proton-proton collisions at s = 5.02 TeV 

    Hayrapetyan A.; Tumasyan A.; Adam W.; et al. (2025)
    Journal of High Energy Physics
    The inclusive jet cross section is measured as a function of jet transverse momentum pT and rapidity y. The measurement is performed using proton-proton collision data at s = 5.02 TeV, recorded by the CMS experiment at the LHC, corresponding to an integrated luminosity of 27.4 pb−1. The jets are reconstructed with the anti-kT algorithm using a distance parameter of R = 0.4, within the rapidity interval |y| < 2, and across the kinematic ...
    Journal Article

  4. Flow matching for atmospheric retrieval of exoplanets: Where reliability meets adaptive noise levels 

    Gebhard T.D.; Wildberger J.; Dax M.; et al. (2025)
    Astronomy & Astrophysics
    Context. Inferring atmospheric properties of exoplanets from observed spectra is key to understanding their formation, evolution, and habitability. Since traditional Bayesian approaches to atmospheric retrieval (e.g., nested sampling) are computationally expensive, a growing number of machine learning (ML) methods such as neural posterior estimation (NPE) have been proposed. Aims. We seek to make ML-based atmospheric retrieval (1) more ...
    Journal Article

  5. Test of lepton flavor universality in semileptonic (Formula presented) meson decays in proton-proton collisions at (Formula presented) 

    Hayrapetyan A.; Tumasyan A.; Adam W.; et al. (2025)
    Physical Review D
    A measurement of the ratio of branching fractions (Formula presented) in the (Formula presented), (Formula presented) decay channel is presented. This measurement uses a sample of proton-proton collision data collected at a center-of-mass energy of (Formula presented) by the CMS experiment in 2018, corresponding to an integrated luminosity of (Formula presented). The measured ratio, (Formula presented), agrees with the value of (Formula ...
    Journal Article

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