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DTSTART;TZID=Europe/Madrid:20250925T120000
DTEND;TZID=Europe/Madrid:20250925T130000
DTSTAMP:20260415T090733
CREATED:20250922T031655Z
LAST-MODIFIED:20251125T081259Z
UID:22807-1758801600-1758805200@www.ift.uam-csic.es
SUMMARY:SPS JC: de Sitter and Machine Learning
DESCRIPTION:SPS Journal Club\n\nSpeaker: Bruno De Luca\n\nVenue&Time: Red Room / 12:00\n\nAbstract: \nThe problem of constructing de Sitter vacua in quantum theories of gravity is constrained by no-go theorems and made computationally challenging by the absence of supersymmetry. A popular approach to make it more tractableis to start from a supersymmetric compactification\, such as on a Calabi-Yau manifold. This simplification comes at the price of greatly restricting the allowed physical sources and possible geometries.\n\nIn this introduction\, I will discuss some of my works on how to break supersymmetry at the compactification scale by directly solving the equations of motion. This allows for more general internal geometries and thus more general physical configurations\, including four-dimensional de Sitter vacua supported by Casimir energy on negatively-curved manifolds\, and scale-separated AdS4 vacua.\n\nHowever\, describing the corresponding geometries in detail can sometimes require to solve Einstein-like PDEs on non-trivial manifolds. This problem is intractable even numerically\, with standard methods. Luckily\, Machine Learning is emerging as a method to overcome these difficulties\, and we will discuss a recent proposal for using Machine Learning techniques to explicitly construct negatively-curved geometries.\n\nTime permitting\, we will also describe the other way around: how we can use insights from physics to design algorithms with broad applicability to Machine Learning and beyond\, focusing on optimization and sampling algorithms obtained from energy-preserving chaotic Hamiltonians with non-standard kinetic terms.\n\n\n\nSome references:\n2501.00093\n2104.13380\n2212.02511\n2201.11137
URL:https://www.ift.uam-csic.es/event/sps-jc-de-sitter-and-machine-learning/
LOCATION:IFT Seminar Room/Red Room\, Instituto de Física Teórica (IFT) -C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\,\, Spain
CATEGORIES:Journal clubs,Scientific activities
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DTSTART;TZID=Europe/Madrid:20250925T150000
DTEND;TZID=Europe/Madrid:20250925T160000
DTSTAMP:20260415T090733
CREATED:20250613T073431Z
LAST-MODIFIED:20251218T085607Z
UID:18490-1758812400-1758816000@www.ift.uam-csic.es
SUMMARY:Stirring up the intracluster medium with substructures
DESCRIPTION:Speaker: Go Ogiya from Zhejiang University\n\n\n\nVenue&Time: Red Room / 3:00 PM\n\n\n\n\nAbstract: \nThe origin of the turbulent motion of the intracluster medium (ICM) has been a longstanding open question. Stirring by substructures (member galaxies and dark matter subhaloes) orbiting within a galaxy cluster is a possible mechanism to generate and maintain the ICM turbulence. We develop a semi-analytic model considering three processes of energy transfer from substructures to the ICM (dynamical friction\, ram pressure\, and sloshing)\, and propagation and dissipation of the deposited energy. The model reproduces the gas velocity structure derived from hydrodynamical simulations. We find that dynamical friction is responsible for explaining the strong turbulence (~ 500 km/s) in the cluster outskirts (> 1 Mpc)\, while sloshing explains the mild turbulence (~100 km/s) in the cluster centre. In the talk\, we will also discuss implications for X-ray observations of the new generation\, such as XRISM and eROSITA.
URL:https://www.ift.uam-csic.es/event/tbd/
LOCATION:IFT Seminar Room/Red Room\, Instituto de Física Teórica (IFT) -C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\,\, Spain
CATEGORIES:Scientific activities,Seminars
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