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SUMMARY:Daniele Angella (Università degli Studi di Firenze)
DTSTART:20240206T143000Z
DTEND:20240206T153000Z
DTSTAMP:20260507T233135Z
UID:DifferentialAndAlgebraicGeometry/22
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/Differential
 AndAlgebraicGeometry/22/">Constructing and Machine Learning Calabi-Yau Fiv
 e-Folds</a>\nby Daniele Angella (Università degli Studi di Firenze) as pa
 rt of Geometry in Como\n\n\nAbstract\nThe significance of Calabi-Yau manif
 olds transcends both Complex Geometry and String Theory.\nOne possible app
 roach to constructing Calabi-Yau manifolds involves intersecting hypersurf
 aces within the product of projective spaces\, defined by polynomials of a
  specific degree.\nWe show a method to construct all possible complete int
 ersections Calabi-Yau ﬁve-folds within a product of four or less complex
  projective spaces\, with up to four constraints. This results in a compre
 hensive set of 27\,068 distinct spaces.\nFor approximately half of these c
 onstructions\, excluding the product spaces\, we can compute the cohomolog
 ical data\, yielding 2\,375 distinct Hodge diamonds.\nWe present distribut
 ions of the invariants and engage in a comparative analysis with their low
 er-dimensional counterparts.\nSupervised machine learning techniques are a
 pplied to the cohomological data. The Hodge number $h^{1\,1}$ can be learn
 t with high efficiency\; however\, accuracy diminishes for other Hodge num
 bers due to the extensive ranges of potential values.\n\nThe talk is a joi
 nt collaboration with Rashid Alawadhi\, Andrea Leonardo\, and Tancredi Sch
 ettini Gherardini.\n
LOCATION:https://researchseminars.org/talk/DifferentialAndAlgebraicGeometr
 y/22/
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