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

Contribution List

12 out of 12 displayed
  1. Tomás Gerard O Shea (CAPA)
    16/12/2022, 16:30

    Axion heliioscopes such as CAST have been used to search for dark photons and, in the absence of their detection, set a limit on dark photon parameters. I am using similar analysis to determine the parameter space that IAXO will be able to explore, and will extend this analysis to include the mixing of different polarisations of solar plasmons by the sun's magnetic field and how this mixing...

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  2. Jaime Ruz (CAPA)
    19/12/2022, 12:00
  3. 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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  4. Yikun Gu (Hamburg University)
    20/12/2022, 12:00
  5. 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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  6. Jacobo Asorey (Universidad Complutense de Madrid)
    20/12/2022, 16:30
  7. Diego Sáez
    20/12/2022, 17:30

    In this talk I will discuss the features of the formation of shadows around some (ultra)-compact objects due to the presence of light rings surrounding the central depression of optically-thin accretion disks. The shapes of the shadows might reveal novel spacetime structures beyond the well known Kerr family, such that future observations of additional light rings through very-long baseline...

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  8. 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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  9. 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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  10. Pablo Quílez (DESY)
    21/12/2022, 16:30

    Despite the exceptional appeal of the Peccei-Quinn mechanism as a solution to the strong CP problem, alternative mechanisms should still be pursued. In this direction, I will present in the first part of my talk how a Nelson-Barr mechanism (NB) arises automatically in the context of gauged flavor models. Given the tight connection of the strong CP problem with flavor, this framework will be...

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  11. 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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  12. Javier Relancio Martínez (Universidad de Burgos)
    22/12/2022, 12:00