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Saturnalia 2022

16–22 Dec 2022
Facultad de Ciencias and ONLINE https://rediris.zoom.us/j/83767424733
Europe/Madrid timezone

Javier Redondo, Siannah Peñaranda, Jorge Alda, Mathieu Kaltschmidt

Session

Morning session

19 Dec 2022, 12:00
Seminario de Física Atómica y Nuclear y ONLINE https://rediris.zoom.us/j/7818936953 (Facultad de Ciencias and ONLINE https://rediris.zoom.us/j/83767424733)

Seminario de Física Atómica y Nuclear y ONLINE https://rediris.zoom.us/j/7818936953

Facultad de Ciencias and ONLINE https://rediris.zoom.us/j/83767424733

Seminario de Física Teórica Seminario de Física Atómica, Nuclear y Molecular Sala de Profesores

Description

Zoom link: https://rediris.zoom.us/j/83767424733

Presentation materials

There are no materials yet.

  1. 7. Using X-ray optics for nuclear physics applications
    Jaime Ruz (CAPA)
    19/12/2022, 12:00
  2. 9. ALP production in weak mesonic decays
    Alfredo Walter Mario Guerrera (Università degli Studi di Padova/INFN)
    19/12/2022, 13:00

    Axion-Like-Particles are among the most economical and well motivated extensions of the Standard Model. In this talk ALP production from hadronic and leptonic meson decays are studied. The hadronization part of these decay amplitudes has been obtained using Brodsky-Lepage method or LQCD, at needs. In particular, the general expressions for ALP emission in mesonic s- and t-channel tree-level...

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  3. 10. Searching for ALPs-photon conversion on fiber interferometer
    Yikun Gu (Hamburg University)
    20/12/2022, 12:00
  4. 11. Parametric resonances in domain walls and cosmic strings
    Daniel Jiménez Aguilar (UPV/EHU)
    20/12/2022, 13:00

    Based on
    https://arxiv.org/abs/2209.12945
    https://arxiv.org/abs/2212.06194

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  5. 2. Machine-learned exclusion limits without binning
    Rosa María Sandá Seoane (IFT Universidad Autónoma de Madrid-CSIC)
    21/12/2022, 12:00

    Machine-Learned Likelihood (MLL) is a method that, by combining modern machine-learning classification techniques with likelihood-based inference tests, allows to estimate the experimental sensitivity of high-dimensional data sets. We extend the MLL method by including the exclusion hypothesis tests, and show that the addition of Kernel Density Estimators avoids the need to bin the classifier...

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  6. 1. Using Machine Learning techniques in phenomenological studies in flavour physics
    Jorge Alda (CAPA)
    21/12/2022, 13:00

    In the recent years, a series of measurements in the observables RK(*) and RD(*) concerning the semileptonic decays of the B mesons have shown hints of violations of Lepton Flavour Universality (LFU). An updated model-independent analysis of New Physics violating LFU, by using the Standard Model Effective Field Theory (SMEFT) Lagrangian with semileptonic dimension six operators at Λ = 1 TeV...

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  7. 19. Over the Rainbow ... of Gravitational Waves
    Diego Blas (UAB/IFAE)
    22/12/2022, 11:00

    Gravitational waves from different frequencies bring information about different phenomena of the Universe. CMB studies, Ligo-Virgo-Kagra, PTA and LISA-like missions are able to provide relevant information in several bands, but leave some gaps where new signals may be hiding. In this talk, I’ll first give an overview of the different phenomena probed and main detection strategies at different...

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  8. 13. Doubly special relativity as a road to quantum gravity
    Javier Relancio Martínez (Universidad de Burgos)
    22/12/2022, 12:00
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