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Pizza Seminars
Summer Students 2025 Pizza Seminar
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Europe/Madrid
IFAE Seminar Room (In-person)
IFAE Seminar Room
In-person
Description
Dark energy and the lyman-alpha forest
Jan López Bocache - (Observational Cosmology Group)
Dark energy is one of the biggest unsolved mysteries of the universe. A better understanding of it is crucial to learn more about how it was formed and how it will evolve in the future. To study it, we need information of the distribution of matter in the early universe which can be obtained using light from distant quasars. Absorption lines in this light’s spectrum are called the lyman alpha forest. When we analyze the forest there are some contaminants that can affect our measures, that is why it is crucial to understand their impact and implement a good model for them. One way of doing it is using computer simulations of the universe to study how the contaminants behave.
Neural Networks applied to Signal–Background discrimination in Flavoured Dark Matter searches with the ATLAS detector
Jordi Barberà Donat - (ATLAS group)
The existence of Dark Matter is widely accepted from a cosmological and astrophysical point of view. However, the existence of its fundamental constituent —a DM particle— has not yet been demonstrated. Recently, the ATLAS Collaboration and, in general, the HEP Community has begun the study of more complex models for DM particles, like the one we considered in this work.
The study has consisted on the use of Monte Carlo simulations on the training of a Deep Neural Network to discriminate DM signals from background in the ATLAS detector. The main result is achieving high performance (AUC = 0.93) with a minimal set of kinematical inputs. These kind of studies are very newly arrived to the field and seem to have a better performance than the classical cuts-based analyses, as DNN are, in general, more capable of capturing variable correlations.
Organized by
Giada Caneva, Elia Bertoldo, Francesco Sciotti
