8 citations · 16 across the 9 of their papers we have counts for
7 papers · 1 filter
Euclid: Measuring the intrinsic alignment of galaxies around cosmic voids in the \Euclid Flagship simulation\
P. Vielzeuf, M. -C. Cousinou, A. Pisani +149
We present a methodology to measure the intrinsic alignment (IA) signal of galaxies in the vicinity of cosmic voids using the \Euclid-like Flagship cosmological simulation from the…
Baryons in the Darkest Sites of the Universe
Kritti Sharma, Vikram Ravi, Dhayaa Anbajagane +9
The pristine underdense patches of the Universe, cosmic voids, are powerful cosmological laboratories, uniquely sensitive to dark energy, modified gravity, and neutrino masses, yet…
The era of precision cosmology with voids
Sofia Contarini, Giovanni Verza, Alice Pisani
Cosmic voids, the large underdense regions of our Universe, have emerged over the past decade as powerful cosmological laboratories: their simple dynamics, sensitivity to local gra…
Why Cosmic Voids Matter: Pristine Evolution
Nico Schuster, Nico Hamaus, Alice Pisani +2
We utilize the Magneticum suite of hydrodynamical simulations to investigate the formation and evolution of cosmic voids from to present day, using cold dark matter and…
Multiprobe cosmology forecasts from halo-occupation-distribution-based forward modeling of galaxy and void statistics
Andrés N. Salcedo, Alice Pisani, Nico Hamaus
The large under-dense regions in the cosmological matter density field, known as cosmic voids, are powerful probes of cosmology but their potential is currently under-exploited. Ob…
Significance of void shape: Neutrino mass from Voronoi void halos?
Adrian E. Bayer, Jia Liu, Christina D. Kreisch +1
Massive neutrinos suppress the growth of cosmic structure on nonlinear scales, motivating the use of information beyond the power spectrum to tighten constraints on the neutrino ma…
Cosmology from one galaxy in a void?
Bonny Y. Wang, Alice Pisani
Understanding galaxy properties may be the key to unlocking some of the most intriguing mysteries of modern cosmology. Recent work relied on machine learning to extract cosmologica…