One of the crucial keys in the cosmological studies is the estimation of an accuracy redshift of a large number of galaxies. Sometimes, the spectroscopic sample used as training sample for ML approaches doesn't cover the same magnitude and color space as the target sample. This issue raises doubts about the confidence of the photometric redshift provided by the algorithms.
In this talk, we...
Strong lensing analyses and photometric redshifts are both integral for cosmological studies with the Rubin Observatory Legacy Survey of Space and Time (LSST). With convolutional neural networks, we can obtain for both significant gain in the performance and speed. In my talk, I will present the new achievements of the HOLISMOKES collaboration in modeling galaxy-scale lenses using a residual...
To obtain a clean measurement of the Cosmic Microwave Background (CMB), we must first separate its signal from all the other galactic and extragalactic components of the sky. In this way, extragalactic sources emitting in the microwave range, like radio-loud active galactic nuclei and dusty galaxies, constitute a contaminant that appears in the form of unresolved point-like objects in CMB maps...
The halo mass function describes the abundance of dark matter halos as a function of halo mass and depends sensitively on the cosmological model. Accurately modelling the halo mass function for a range of cosmological models will enable forthcoming surveys such as Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) to place tight constraints on cosmological parameters. Due to...
The Golden age of Cosmology with high precision surveys is highly entangled with the so-called “Big-Data” era, as the future astrophysical and cosmological experiments will produce massive amount of data. Therefore, new methodologies, such as Artificial Intelligence and Deep Learn-ing, should come to play to handle the computational expensive operations, automation, and to extract non explored...
In the context of the galaxy-halo connection, it is widely known that the dark matter (DM) halo of a galaxy exhibits correlations with other physical properties, like the well-studied stellar-to-halo-mass relation. However, given the complexity of the problem and the high number of galaxy properties that might be related to the DM halo in a galaxy, the study of the galaxy-halo connection can...
As far as we know, galaxies form inside dark matter halos and elucidating this connection is a key element in theories of galaxy formation and evolution. In this work, we propose a suite of machine learning (ML) tools to analyze these intricate relations in the IllustrisTNG300 magnetohydrodynamical simulation. We apply four individual algorithms: extremely randomized trees (ERT), K-nearest...
Clusters of galaxies are the largest gravitationally bound systems in the Universe resulting from the natural evolution of cosmic structures. They are crucial tracers of the structure formation history and their mass function at different epochs is of key importance to constrain cosmological parameters. Therefore, it is essential to infer the mass of the observed clusters, which...
