Thesis

in 2020



Doctoral Thesis

  1. Bernat Capdevila
    Searching for New Physics in Semileptonic B-meson Decays
    January 2020, Thesis Advisor: Joaquim Matias
  2. Fabian Förster
    Novel CMOS Devices for High Energy Physics and Medical Applications
    July 2020, Thesis Advisor: Sebastián Grinstein & Stefano Terzo
  3. Bruno Bourguille
    Study and Modelization of a neutrino-nucleus CCQE interaction model.
    July 2020, Thesis Advisor: Federico Sánchez Nieto
  4. Marco Gatti
    Weak lensing in DES Y3: redshift distributions, shape catalogue, and mass mapping
    September 2020, Thesis Advisor: Ramon Miquel & Chihway Chang (University of Chicago)
  5. Víctor Cáncer Castillo
    Non-linear elastic response of scale invariant solids
    November 2020, Thesis Advisor: Oriol Pujolàs
  6. Sebastian Pina-Otey
    Deep learning and Bayesian techniques applied to big data in industry and neutrino oscillations
    November 2020, Thesis Advisor: Thorsten Lux, Vicens Gaitan and María Pilar Casado Lechuga
  7. Daniele Ninci
    Search for gamma-ray signals from dark matter annihilation or decay at the Draco dwarf galaxy and Galactic halo with MAGIC
    December 2020, Thesis Advisor: Javier Rico Castro

Master Thesis

  1. Louise Seeyave
    Modelling the Power Spectrum of the Lyα Forest Flux Transmission for the Detection of the Baryon Acoustic Oscillation Peak
    June 2020, Thesis Advisor: Andreu Font-Ribera, (MSc thesis at UCL)
  2. Chotipan Boonkongkird
    Predicting galaxy emission lines using convolutional neural networks
    September 2020, Thesis Advisor: Martin Eriksen
  3. Victor Frigola Tepe
    On phase transitions in AdS-CFT
    July 2020, Thesis Advisor: Oriol Pujolàs
  4. Alberto Lajara Corral
    Superconducting Coplanar Waveguide Resonators for Quantum Computing
    July 2020, Thesis Advisor: Gemma Rius (CNM-IMB, CSIC), Pol Forn-Díaz
  5. Barkay Guttel
    Capacitively-Shunted Four Josephson Junctions Flux Qubit
    July 2020, Thesis Advisor: Pol Forn-Díaz
  6. Alberto José Saavedra García
    "Study of effective operators in four-top-quark production at the LHC"
    October 2020, Thesis Advisor: Aurelio Juste
  7. Bernat Jorquera Vinyals
    “V-Tagger studies using machine-learning techniques in Mono-V searches at the LHC”
    September 2020, Thesis Advisor: Mario Martinez
  8. Gica Stefanescu Miralles
    "Optimization of a Neural Network for the search of a charged Higgs boson in the ATLAS experiment"
    January 2020, Thesis Advisor: Imma Riu
  9. Alvaro Ari Huanay de Dios
    "Optimization of the tau trigger event selection by using a Boosted Decision Tree machine-learning technique in the ATLAS experiment"
    July 2020, Thesis Advisor: Imma Riu
  10. Ferran Recasens i García
    "Search for a charged Higgs boson in the H+🡪tb channel using a neural network technique in the ATLAS experiment"
    July 2020, Thesis Advisor: Imma Riu
  11. Claudia Soriano
    “Optimization of a discriminant to find a charged Higgs boson in the ATLAS experiment”
    September 2020, Thesis Advisor: Martine Bosman
  12. Daniel Guerrero Domínguez
    "Study of the Z🡪tautau background process in the search of the VBF H🡪tautau with the HGTD detector"
    July 2020, Thesis Advisor: Pilar Casado
  13. Chantal Laure Pitte
    Stochastic Gravitational Wave Background
    September 2020, Thesis Advisor: Mario Martinez
  14. Albert Elias López
    Detection of low mass black hole binary coalescent using neural networks for the advanced LIGO and VIRGO interferometers
    November 2020, Thesis Advisor: Mario Martinez
  15. Oliver Partida Gutiérrez
    Exploring anomalies in B meson decays using convoluted neural networks
    October 2020, Thesis Advisor: Pere Masjuan
  16. Roger Balsach
    New Physics models for low-energy observables
    September 2020, Thesis Advisor: Pere Masjuan
  17. Adina Maria Tomaru
    Z decays into lepton pairs and anomalies in B meson decays
    September 2020, Thesis Advisor: Pere Masjuan