Mar 24, 2026
3 min read
In this presentation, we will introduce the history, culture and science of Ukraine and show everyday life in Ukraine.
Museum of Science and Cosmos
March 26, 2026
17:00 (each call 30 minutes)
Free access until capacity is reached
From heaven to thesis
Cycle of informative talks
It is a monthly cycle that is expected to run till the end of the year and will involve the participation of PhD students from the Institute of Astrophysics (IAC) as speakers.
These lectures are designed in a dynamic, accessible and accessible format, with the aim of giving visibility to the work of young researchers.The interventions will deal with the topics of the research or thesis being worked on, both with more general content about astronomy and astrophysics, and with the practical application of the acquired knowledge: how and why to research in this field.
Sun: Appears
The introduction begins with a historical introduction, explaining the process by which the solar system was formed and why it has the properties we observe today.
Later, some of the most relevant and interesting components of this star will be identified and analyzed, highlighting its main properties and its importance in its structure.
Finally, its future evolution will be discussed and the process that will lead to its final phase and the eventual death of the aforementioned star will be explained.
Simulators of the Universe: Simulating the Universe for Our Understanding
Modern cosmology is the result of more than a century of increasingly precise observations of extragalactic sources and the construction of sophisticated theoretical models based on the data.The highlight of this project was the "standard cosmological model".relativistic theory that satisfactorily accounts for a wide range of cosmologically relevant observations, such as the cosmic microwave background, the abundance of light chemical elements in our galaxy, or the large-scale distribution of galaxies in the observable universe.This model of the universe is the one that contains the seeds of some of the most controversial concepts in modern science, such as dark matter, dark energy, inflation and, perhaps less controversial today, the Big Bang.
However, there are some cracks in the standard cosmological model: some inconsistencies between predictions and observations that resist resolution no matter how hard you try.Some physicists predict a paradigm shift;Others believe there's nothing a patch or two can't fix.For this reason, part of the effort of the international community of astrophysicists and cosmologists is to develop new analyzes to test the Standard Model or its alternatives against the growing stream of observational data.
In this talk, we will present one of these new methods, based on mass production of simulations.The idea is to design a simulator for the large-scale distribution of extremely fast galaxies without sacrificing too much accuracy, thereby creating a huge catalog of "possible universes" in which we can look for matches to what we observe through telescopes, namely our own.
Ivan Bonilla as Mariana
He completed his master's thesis in theoretical calculations at the Institute of Astrophysics of the Canary Islands (IAC) within the framework of the Master's program in Astrophysics at the University of Laguna.
Earlier, he graduated in Physics from the same university.
His thesis work focuses on the study of the momentum difference between ionized particles and neutral particles in different structures of the solar atmosphere through various techniques.
Pere Rosselló Truyols
He graduated in Physics from the Autonomous University of Barcelona.Professor of Astrophysics from the University of La Laguna.Currently he is a doctoral student with an Astronomical Resident contract at the Institute of Astrophysics of the Canary Islands, with a thesis project entitled: Bayesian inference of large-scale cosmological structure.
His research focuses on what is called field-level cosmological inference: using near-ultrafast simulations as direct predictive models of data obtained in galaxy surveys (mainly redshifts and positions on the sky).Traditionally, observational data and theoretical predictions are combined using summary statistics, that is, combining the data into statistics such as the power spectrum and contrasting them with appropriate theoretical models.re.This process involves discarding a significant amount of information, especially that which is in high statistical ranges.
In field-level inference, by avoiding data compression, information extraction is maximized.This line of research is relatively new and has been made possible by the confluence of several factors: greater computational capabilities (especially using GPUs), more accurate approximate models of structure formation, better knowledge of the relationship between galaxies and dark matter, and greater availability of galaxy survey data, both now and in the future.
