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UID:pretalx-europython-2023-RAVZM9@programme.europython.eu
DTSTART;TZID=CET:20230720T143500
DTEND;TZID=CET:20230720T150500
DESCRIPTION:As our understanding of the Universe is expanding\, the desire 
 to model the physics that govern cosmic evolution is more evident than eve
 r\, driving the emergence of cosmological simulations that model the Unive
 rse from the beginning of time till present day. In combination with Machi
 ne Learning\, they allow for an unprecedented capability\; one can train A
 I models on simulations\, where the evolution history of galaxies is avail
 able\, that can in turn be applied on real galaxies. In this work\, we pro
 pose the use of Python as a ML tool\, through the popular library Tensorfl
 ow\, to quantify the impact of different cosmological models on the deriva
 tion of the history of galaxies. Python accompanies us at every step of th
 e way\, from creating the datasets and training the probabilistic neural n
 etworks to the visualization of the results\, as we attempt to shed light 
 on the cosmic past of galaxies\, surpassing the unshakeable reality that w
 e can only observe them at a specific moment in time.
DTSTAMP:20260513T171959Z
LOCATION:Terrace 2B
SUMMARY:How well do we understand our Universe? Let’s Python it out! - Ei
 rini Angeloudi\, Regina Sarmiento
URL:https://programme.europython.eu/europython-2023/talk/RAVZM9/
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