A5024610735- Galaxies: Formation, Evolution, Phenomena
- Astronomy and Astrophysical Research
- Cosmology and Gravitation Theories
- Stellar, planetary, and galactic studies
- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
- Astronomical Observations and Instrumentation
- Scientific Research and Discoveries
- Gamma-ray bursts and supernovae
- Advanced Physical and Chemical Molecular Interactions
- History and Developments in Astronomy
- Simulation Techniques and Applications
- Advanced Thermodynamics and Statistical Mechanics
- Advanced Fluorescence Microscopy Techniques
- Geophysics and Gravity Measurements
- Astrophysical Phenomena and Observations
- Electrolyte and hormonal disorders
- Pancreatitis Pathology and Treatment
- Spaceflight effects on biology
- Renal function and acid-base balance
- Adaptive optics and wavefront sensing
- Neurological and metabolic disorders
- Surface and Thin Film Phenomena
- Remote Sensing in Agriculture
- Advanced X-ray Imaging Techniques
Flatiron Health (United States)
2025
Flatiron Institute
2025
New York University
2025
Osservatorio Astrofisico di Torino
2024
University of Padua
2019-2023
Istituto Nazionale di Fisica Nucleare, Sezione di Padova
2019-2023
Istituto Nazionale di Fisica Nucleare, Galileo Galilei Institute for Theoretical Physics
2021
University of Milan
2019
Euclid is poised to survey galaxies across a cosmological volume of unprecedented size, providing observations more than billion objects distributed over third the full sky. Approximately 20 million these will have their spectroscopy available, allowing us map 3D large-scale structure Universe in great detail. This paper investigates prospects for detection cosmic voids therein and unique benefit they provide cosmology. In particular, we study imprints dynamic geometric distortions average...
The Euclid mission $-$ with its spectroscopic galaxy survey covering a sky area over $15\,000 \ \mathrm{deg}^2$ in the redshift range $0.9<z<1.8\ -$ will provide sample of tens thousands cosmic voids. This paper explores for first time constraining power void size function on properties dark energy (DE) from mock catalogue, official Flagship simulation. We identify voids light-cone, which closely matches features upcoming data set. model considering state-of-the art methodology: we rely...
Abstract Cosmic voids, the underdense regions in Universe, are impacted by dark energy and massive neutrinos. In this work, relying on DEMNUni suite of cosmological simulations, we explore void size function cosmologies with both dynamical We investigate impact different choices matter tracers study its sensitivity to joint effect several equations state total neutrino masses. particular, find that for all combinations mass equation considered, differences between corresponding functions...
Abstract The bias of dark matter halos and galaxies is a crucial quantity in many cosmological analyses. In this work, using large simulations, we explore the halo mass function within cosmic voids. For first time to date, show that they are scale dependent along void profile, provide predictive theoretical model both inside voids, recovering for latter 1% accuracy against simulated data. These findings may help shed light on dynamics formation voids improve analysis several statistics from...
We present a novel combination of the excursion-set approach with peak theory formalism in Lagrangian space and provide accurate predictions for halo void statistics over wide range scales. The set-up is based on an effective moving barrier. Besides deriving corresponding numerical multiplicity function, we introduce new analytical formula reaching percent level agreement exact solution obtained via Monte Carlo realizations down to small scales, $\sim 10^{12} h^{-1}\mathrm{M_\odot}$. In...
We investigate the cosmological constraints that can be expected from measurement of cross-correlation galaxies with cosmic voids identified in Euclid spectroscopic survey, which will include information for tens millions over $15\,000$ deg$^2$ sky redshift range $0.9\leq z<1.8$. do this using simulated measurements obtained Flagship mock catalogue, official closely matches properties data set. To mitigate anisotropic selection-bias effects, we use a velocity field reconstruction method to...
The Euclid space telescope will survey a large dataset of cosmic voids traced by dense samples galaxies. In this work we estimate its expected performance when exploiting angular photometric void clustering, galaxy weak lensing and their cross-correlation. To aim, implement Fisher matrix approach tailored for from the present first forecasts on cosmological parameters that include void-lensing correlation. We examine two different probe settings, pessimistic optimistic, both clustering...
We test a theoretical description of the void size distribution function against direct estimates from halo catalogues DEMNUni suite large cosmological simulations. Besides standard ΛCDM, we consider deviations dark energy equation state w=−1, corresponding to four combinations in popular Chevallier-Polarski-Linder parametrisation: w0=−0.9; −1.1, wa=−0.3; 0.3. The model, relying on Sheth & van de Weygaert double barrier excursion set formalism, provides an accurate simulation measurements...
This work focusses on the pilot run of a simulation campaign aimed at investigating spectroscopic capabilities Euclid Near-Infrared Spectrometer and Photometer (NISP), in terms continuum emission line detection context galaxy evolutionary studies. To this purpose, we constructed, emulated, analysed spectra 4992 star-forming galaxies 0.3 ≤ z 2.5 using NISP pixel-level simulator. We built spectral library starting from public multi-wavelength catalogues, with value-added information energy...
Abstract We present a novel combination of the excursion-set approach with peak theory formalism in Lagrangian space and provide accurate predictions for halo void statistics over wide range scales. The set-up is based on an effective moving barrier. Besides deriving corresponding numerical multiplicity function, we introduce new analytical formula reaching percent level agreement exact solution obtained via Monte Carlo realisations down to small scales, ∼ 10 12 h -1 M ⊙ . In case, derive...
Cosmic voids, the underdense regions in Universe, are impacted by dark energy and massive neutrinos. In this work, relying on DEMNUni suite of cosmological simulations, we explore void size function cosmologies with both dynamical We investigate impact different choices matter tracers study its sensitivity to joint effect modifying equation state sum neutrino masses. show that neutrinos produce separable effects function. This statistic therefore allows us distinguish among a wide range...
We provide an accurate forecast of the expected constraining power from main void statistics -- size function and void-galaxy cross-correlation to be measured by Roman reference High Latitude Spectroscopic Survey Nancy Grace Space Telescope. Relying on a realistic galaxy mock lightcone, covering 2000 square degrees, we find more than $8\times 10^4 $ voids explore their in framework three different cosmological models: $\Lambda$CDM, $w$CDM, $w_0 w_{\rm a}$CDM. This work confirms strong...
The Euclid mission will measure cosmological parameters with unprecedented precision. To distinguish between models, it is essential to generate realistic mock observables from simulations that were run in both the standard $\Lambda$-cold-dark-matter ($\Lambda$CDM) paradigm and many non-standard models beyond $\Lambda$CDM. We present scientific results a suite of N-body using including dynamical dark energy, k-essence, interacting modified gravity, massive neutrinos, primordial...
The Euclid mission $-$ with its spectroscopic galaxy survey covering a sky area over $15\,000 \ \mathrm{deg}^2$ in the redshift range $0.9
The bias of dark matter halos and galaxies is a crucial quantity in many cosmological analyses. In this work, using large simulations, we explore the halo mass function within cosmic voids. For first time to date, show that they are scale-dependent along void profile, provide predictive theoretical model both inside voids, recovering for latter 1% accuracy against simulated data. These findings may help shed light on dynamics formation voids improve analysis several statistics from ongoing...