Repository for Publications and Research Data

Search ETH Zurich’s Research Collection for scientific publications and research data or submit your own research output. Read more

News 

How to improve the metadata coverage and quality of open scholarly metadata databases?

Find out and take part in the webinar on 24 October 2024. Read more

Webinar: Get your writing project started, prevent plagiarism and publish

Join our webinar on 01 October 2024 from 16.00 to 17.15 for tips and tools for a productive doctorate. Read more

Fit in research data management – workshop series in Autumn Semester 2024

Get yourself and your research project in shape with our research data management workshop programme. You can now register for the Autumn Semester 2024 workshops. Read more

Recently Added 

  1. Search for long-lived heavy neutrinos in the decays of B mesons produced in proton-proton collisions at â <i>s</i>=13 TeV 

    Hayrapetyan, A.; Tumasyan, A.; Adam, W.; et al. (2024)
    Journal of High Energy Physics
    A search for long-lived heavy neutrinos (N) in the decays of B mesons produced in proton-proton collisions at root s = 13 TeV is presented. The data sample corresponds to an integrated luminosity of 41.6 fb(-1) collected in 2018 by the CMS experiment at the CERN LHC, using a dedicated data stream that enhances the number of recorded events containing B mesons. The search probes heavy neutrinos with masses in the range 1 < m(N) < 3 GeV and ...
    Journal Article
  2. Search for a third-generation leptoquark coupled to a Ï lepton and a b quark through single, pair, and nonresonant production in proton-proton collisions at â <i>s</i>=13 TeV 

    Hayrapetyan, A.; Tumasyan, A.; Adam, W.; et al. (2024)
    Journal of High Energy Physics
    A search is presented for a third-generation leptoquark (LQ) coupled exclusively to a tau lepton and a b quark. The search is based on proton-proton collision data at a center-of-mass energy of 13 TeV recorded with the CMS detector, corresponding to an integrated luminosity of 138 fb(-1). Events with tau leptons and a varying number of jets originating from b quarks are considered, targeting the single and pair production of LQs, as well ...
    Journal Article
  3. Toxin-mediated depletion of NAD and NADP drives persister formation in a human pathogen 

    Santi, Isabella; Teixeira, Raphael Dias; Manfredi, Pablo; et al. (2024)
    The EMBO Journal
    Toxin-antitoxin (TA) systems are widespread in bacteria and implicated in genome stability, virulence, phage defense, and persistence. TA systems have diverse activities and cellular targets, but their physiological roles and regulatory mechanisms are often unclear. Here, we show that the NatR-NatT TA system, which is part of the core genome of the human pathogen Pseudomonas aeruginosa, generates drug-tolerant persisters by specifically ...
    Journal Article
  4. Characterization of transport optimizers via graphs and applications to Stackelberg-Cournot-Nash equilibria 

    Acciaio, Beatrice; Neumann, Berenice Anne (2024)
    Mathematics and Financial Economics
    We introduce graphs associated to transport problems between discrete marginals, that allow to characterize the set of all optimizers given one primal optimizer. In particular, we establish that connectivity of those graphs is a necessary and sufficient condition for uniqueness of the dual optimizers. Moreover, we provide an algorithm that can efficiently compute the dual optimizer that is the limit, as the regularization parameter goes ...
    Journal Article
  5. Quantum anomaly detection in the latent space of proton collision events at the LHC 

    Belis, Vasilis; Wozniak, Kinga Anna; Puljak, Ema; et al. (2024)
    Communications Physics
    The ongoing quest to discover new phenomena at the LHC necessitates the continuous development of algorithms and technologies. Established approaches like machine learning, along with emerging technologies such as quantum computing show promise in the enhancement of experimental capabilities. In this work, we propose a strategy for anomaly detection tasks at the LHC based on unsupervised quantum machine learning, and demonstrate its ...
    Journal Article

View more