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Joaquin Armijo (IFUSP)12/09/2026, 09:00Oral Talk
I'll showcase the study of environment-dependent clustering using the marked correlation function applied to Hu-Sawicki $f(R)$ modified gravity simulations. This gravity theory enriches the structure formation by enhancing gravity in a scale-dependent form. By employing a multi-scale cosmic structure finder algorithm, we define the cosmic environments divided in: nodes, filaments, walls and...
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Dr Lilianne Nakazono (ON, Brazil), Lilianne Nakazono (ON/MCTI)12/09/2026, 09:15Oral Talk
This talk presents a research project centered on the construction and scientific exploitation of the galaxy and quasar catalogs in J-PAS and S-PLUS surveys. Building upon expertise developed within the S-PLUS survey, this project utilizes Machine Learning (ML) techniques - such as Bayesian Neural Networks, FlexCoDE, and foundation models - to enhance classification and photometric redshift...
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Yan-Chuan Cai (University of Edinburgh)12/09/2026, 09:30Oral Talk
On large scales, peculiar velocities encode a wealth of cosmological information. While line-of-sight components are routinely probed through redshift-space distortions and the kinetic Sunyaev–Zel’dovich effect, measuring transverse velocities has remained challenging. I will present a detection of dipolar patterns on angular scales of tens of degrees imprinted on the Cosmic Microwave...
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Sandro Dias Pinto Vitenti (Universidade Estadual de Londrina)12/09/2026, 09:45Oral Talk
Two-point correlation functions are among the most powerful probes of cosmology. Additional information is obtained from cross-correlations, which help mitigate systematic effects and break parameter degeneracies. Their numerical evaluation, however, is computationally demanding because it requires multi-dimensional integrations of highly oscillatory functions involving probe kernels and...
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Pauline VIELZEUF (cppm)12/09/2026, 14:00Oral Talk
In this talk, I will present a measurement of the intrinsic alignment (IA) signal of galaxies around cosmic voids using the Euclid-like Flagship simulation from the Euclid Collaboration. While IA has been extensively studied in overdense environments, its behaviour in underdense regions remains largely unexplored and may represent a systematic for future void–lensing analyses. We analyse red...
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Giulia DEGNI (CPPM - AMU)12/09/2026, 14:15Oral Talk
Cosmic voids, the vast, underdense regions of the Universe, are emerging as powerful cosmological laboratories. Far from being empty, they carry unique imprints of the growth of structure and the underlying physics driving cosmic acceleration. Among the most promising observables in this context is the void-galaxy cross-correlation function, which encodes both the geometry and dynamics of the...
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Katayoon GHAEMI (CPPM)12/09/2026, 14:30Oral Talk
Cosmic voids provide a novel probe of structure formation and cosmic expansion. They are sensitive to structure growth, dark energy, modified gravity, and sum of neutrino masses. Using the DESI spectroscopic data, we perform void identification and present the preliminary measurements of the void-galaxy cross-correlation function. By measuring the void-galaxy cross correlation function we can...
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Suroor Seher Gandhi (Perimeter Institute for Theoretical Physics)12/09/2026, 14:45Oral Talk
The average large-scale velocity of matter in the universe, known as bulk flow, is a fundamental test of the Cosmological Principle. Traditionally, this has been measured only out to $R\lesssim 100$ megaparsecs (Mpc). We present an application of kinetic Sunyaev-Zel'dovich (kSZ) velocity reconstruction to constrain bulk flow on cosmological scales more than $10\times$ larger, extending...
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