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X-ORIGINAL-URL:https://www.ift.uam-csic.es
X-WR-CALDESC:Events for Instituto de Física Teórica
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DTSTART;TZID=Europe/Madrid:20260325T103000
DTEND;TZID=Europe/Madrid:20260325T130000
DTSTAMP:20260921T152826
CREATED:20260311T112409Z
LAST-MODIFIED:20260401T094858Z
UID:24595-1774434600-1774443600@www.ift.uam-csic.es
SUMMARY:PhD Defense by Marienza Caldarola: 'Unveiling the Universe with Gravitational Waves: a Machine Learning approach'
DESCRIPTION:Title: Unveiling the Universe with Gravitational Waves: a Machine Learning approach\n\nVenue & Time: Blue Room / 10:30\n\nAbstract: This thesis is devoted to the study of gravitational waves\, combining theoretical investigations with novel applications of machine learning. The first part of the work addresses the dynamics of hyperbolic encounters\, a class of transient gravitational wave signals. By incorporating orbit precession and post-Newtonian corrections\, this study provides theoretical insights into the emission properties.\nThe second part shifts toward data-driven approaches\, exploring the use of advanced machine learning methods in gravitational waves field. Two main applications are considered: constraining the energy density of the stochastic gravitational wave background through astrometric measurements and inferring the properties of lensed gravitational wave signals. In both cases\, the machine learning frameworks developed here show significant gains in computational efficiency\, with particular promise for real-time signal analysis and alerts\, demonstrating the transformative role of machine learning in enhancing current and future gravitational wave data analysis strategies.\n\nSupervisors: Savvas Nesseris and Sachiko Kuroyanagi
URL:https://www.ift.uam-csic.es/event/phd-defense-by-marienza-caldarola-unveiling-the-universe-with-gravitational-waves-a-machine-learning-approach/
LOCATION:Blue Room\, Instituto de Física Teórica (IFT) - C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\,\, Spain
CATEGORIES:PhD Dissertation,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20260914T100000
DTEND;TZID=Europe/Madrid:20260914T123000
DTSTAMP:20260921T152826
CREATED:20260904T110927Z
LAST-MODIFIED:20260915T093707Z
UID:25526-1789380000-1789389000@www.ift.uam-csic.es
SUMMARY:PhD Defense by Lorenzo Paoloni: "On the Moduli Space Curvature and Gravity Decoupling"
DESCRIPTION:Title: On the Moduli Space Curvature and Gravity Decoupling\n\nVenue & Time: Blue Room / 10:00-12:30\n\nAbstract: This thesis investigates the asymptotic regimes of four-dimensional N = 2 supergravity moduli spaces\, seeking a robust geometric definition of gravity decoupling. It does so in the context of the Swampland Program\, whose primary objective is to delineate the precise boundaries between consistent low-energy effective field theories and those incompatible with quantum gravity. Ultimately\, this thesis establishes a precise\, quantifiable dictionary between macroscopic moduli space geometry and microscopic quantum field theory constraints\, demonstrating that scalar curvature divergences at infinite distance are not geometric artifacts\, but rather the definitive sentinels of quantum field theories successfully isolating themselves from gravity.\n\n\n\n\nSupervisor: Fernando Marchesano
URL:https://www.ift.uam-csic.es/event/phd-defense-by-lorenzo-paoloni-on-the-moduli-space-curvature-and-gravity-decoupling/
LOCATION:Blue Room\, Instituto de Física Teórica (IFT) - C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\,\, Spain
CATEGORIES:PhD Dissertation,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20260915T150000
DTEND;TZID=Europe/Madrid:20260915T163000
DTSTAMP:20260921T152826
CREATED:20260910T110231Z
LAST-MODIFIED:20260915T143821Z
UID:25562-1789484400-1789489800@www.ift.uam-csic.es
SUMMARY:PhD Defense by Jesús Gambín Egea: “Quantum Properties of Inflationary Perturbations”
DESCRIPTION:Title: Quantum Properties of Inflationary Perturbations\n\nVenue & Time: Orange Room / 15:00-16:30\n\nAbstract: This thesis studies quantum aspects of inflationary perturbations beyond tree level\, with particular emphasis on loop corrections and renormalization. We develop a practical implementation of dimensional regularization for inflationary in-in calculations\, based on separating infrared and ultraviolet contributions and exploiting the universal high-momentum behavior of the mode functions. This allows the ultraviolet renormalization of inflationary observables to be carried out in a largely model-independent way. We apply these methods to the renormalization of scalar and tensor power spectra and of the scalar bispectrum\, and investigate which loop corrections represent intrinsically loop-generated physical effects\, as opposed to contributions that are degenerate with local counterterms. We also study the limits of classical stochastic descriptions of inflationary fluctuations and the non-Gaussian statistics relevant for primordial black-hole formation.\n\n\n\n\nSupervisor: Guillermo Ballesteros
URL:https://www.ift.uam-csic.es/event/phd-defense-by-jesus-gambin-egea-quantum-properties-of-inflationary-perturbations/
LOCATION:Orange Room\, Instituto de Física Teórica (IFT) -C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\, Spain
CATEGORIES:PhD Dissertation,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20260918T110000
DTEND;TZID=Europe/Madrid:20260918T133000
DTSTAMP:20260921T152826
CREATED:20260908T110406Z
LAST-MODIFIED:20260918T114325Z
UID:25536-1789729200-1789738200@www.ift.uam-csic.es
SUMMARY:PhD Defense by David Alonso-González: Into The Dark: Novel and Complementary Searches in Hidden Sectors
DESCRIPTION:Title: Into The Dark: Novel and Complementary Searches in Hidden Sectors\n\nVenue & Time: Blue Room / 11:00-13:30\n\nAbstract: This thesis explores weakly coupled extensions of the Standard Model\, focusing on hidden sectors that may evade conventional experimental searches while addressing some of the main open questions in particle physics\, such as the nature of dark matter and the origin of neutrino masses. The work is organized around three complementary case studies involving a thermal dark matter candidate connected to the Standard Model through a vector portal\, axionlike particles produced in core-collapse supernovae and their possible detection at terrestrial neutrino experiments\, and the interplay between dark matter direct detection experiments and spallation source facilities to constrain the properties of sterile neutrinos. These three works emphasize the importance of combining different experimental strategies to constrain or reconstruct new weakly coupled physics scenarios.
URL:https://www.ift.uam-csic.es/event/phd-defense-by-david-alonso-gonzalez-into-the-dark-novel-and-complementary-searches-in-hidden-sectors/
LOCATION:Blue Room\, Instituto de Física Teórica (IFT) - C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\,\, Spain
CATEGORIES:PhD Dissertation,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20260921T110000
DTEND;TZID=Europe/Madrid:20260921T130000
DTSTAMP:20260921T152826
CREATED:20260908T111916Z
LAST-MODIFIED:20260921T093237Z
UID:25541-1789988400-1789995600@www.ift.uam-csic.es
SUMMARY:PhD Defense by Indira Ocampo Justiniano: A machine learning approach for unraveling the nature of dark matter and dark energy
DESCRIPTION:Title: A machine learning approach for unraveling the nature of dark matter and dark energy \nVenue & Time: Orange Room / 11:00-13:00 \n\nAbstract: Cosmology nowadays is benefiting from an exponential increase of data\, transforming into a precision science. This will help us understand better two of the most important open issues in theoretical physics\, namely understanding the nature of dark matter and dark energy. However\, the vast quantity and quality of the data collected from present and upcoming cosmological surveys has become so demanding\, that sophisticated computational tools are required. As a result\, machine learning methods are being implemented for data analysis and model constraints with the hope of alleviating tensions in the parameters inferred from different cosmological probes. A significant challenge remains in the complexity of these models: as architectures become more accurate\, this usually comes with the trade-off of their interpretability. This can lead to a lack of transparency and trustworthiness in a field that demands validation based on physical laws. The research presented in this thesis focuses on different architectures based on neural networks to search for signatures of physics beyond ΛCDM\, with a particular emphasis on interpretability tools that allow extracting the most informative data for the model’s predictions. \nSupervisor: Savvas Nesseris \n\nA small reception will take place afterwards on the terrace of IMDEA around 13:00. \n  \n 
URL:https://www.ift.uam-csic.es/event/phd-defense-by-indira-ocampo-justiniano-a-machine-learning-approach-for-unraveling-the-nature-of-dark-matter-and-dark-energy/
LOCATION:Orange Room\, Instituto de Física Teórica (IFT) -C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\, Spain
CATEGORIES:PhD Dissertation,Training
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