Gabriele Parimbelli
A5014095602- Cosmology and Gravitation Theories
- Astrophysics and Cosmic Phenomena
- Particle physics theoretical and experimental studies
- Galaxies: Formation, Evolution, Phenomena
- Astronomy and Astrophysical Research
- Dark Matter and Cosmic Phenomena
- Scientific Research and Discoveries
- Computational Physics and Python Applications
- Neutrino Physics Research
- Radio Astronomy Observations and Technology
- Geological and Geophysical Studies
- Remote Sensing in Agriculture
- demographic modeling and climate adaptation
- Astrophysics and Star Formation Studies
- Advanced Data Storage Technologies
- Gamma-ray bursts and supernovae
Istituto Nazionale di Fisica Nucleare, Sezione di Genova
2023-2024
Institute of Space Sciences
2023-2024
Scuola Internazionale Superiore di Studi Avanzati
2019-2024
University of Genoa
2022-2023
Institute for Fundamental Physics of the Universe
2020-2023
Trieste Astronomical Observatory
2021-2023
Roma Tre University
2022-2023
Istituto Nazionale di Fisica Nucleare
2019-2023
Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tre
2022
Istituto Nazionale di Fisica Nucleare, Sezione di Trieste
2019-2021
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology astrophysics through thousands of cosmological hydrodynamic simulations machine learning. CAMELS contains 4,233 simulations, 2,049 N-body 2,184 state-of-the-art that sample a vast volume in parameter space. In this paper we present the public data release, describing characteristics variety products generated from them, including halo, subhalo, galaxy, void catalogues, power...
Abstract The measurement of the absolute neutrino mass scale from cosmological large-scale clustering data is one key science goals Euclid mission. Such a relies on precise modelling impact neutrinos structure formation, which can be studied with N -body simulations. Here we present results major code comparison effort to establish maturity and reliability numerical methods for treating massive neutrinos. includes eleven full implementations (not all them independent), two schemes...
The 2-point correlation function of the galaxy spatial distribution is a major cosmological observable that enables constraints on dynamics and geometry Universe. Euclid mission aims at performing an extensive spectroscopic survey approximately 20--30 million H$\alpha$-emitting galaxies up to about redshift two. This ambitious project seeks elucidate nature dark energy by mapping 3-dimensional clustering over significant portion sky. paper presents methodology software developed for...
Near-infrared spectroscopic surveys target high-redshift emission-line galaxies (ELGs) to probe cosmological scenarios. Understanding the clustering properties of ELGs is essential derive optimal constraints. We present a simple radiative transfer model for spatially resolved galactic H$\alpha$ emission, which includes emission from warm-hot diffuse interstellar medium. The atomic level populations are in steady-state and computed coronal approximation. applied multiple IllustrisTNG...
Over $90$% of dark matter haloes in cosmological simulations have unresolved properties. This can hinder the dynamical range and result systematic biases when modelling tracers. Current methods for enhancing cannot preserve multi-dimensional assembly bias found simulations. We aim to more precisely determine structural halo properties while preserving correlations with environment developed a machine learning technique that uses multi-variate conditional probability distribution functions....
The standard cosmological model predicts the existence of a Cosmic Neutrino Background, which has not yet been observed directly. Some experiments aiming at its detection are currently under development, despite tiny kinetic energy relic neutrinos, makes this task incredibly challenging. Since massive neutrinos attracted by gravitational potential our Galaxy, they can cluster locally. Neutrinos should be more abundant Earth position than an average point in Universe. This fact may enhance...
Abstract We provide an accurate comparison, against large cosmological N -body simulations, of different prescriptions for modelling nonlinear matter power spectra in the presence massive neutrinos and dynamical dark energy. test current most widely used approaches: fitting functions (HALOFIT HMcode), halo-model reaction ( ReACT ) emulators baccoemu EuclidEmulator2). Focussing on redshifts z ≤ 2 scales k ≲ 1 h /Mpc (where simulation mass resolution provides ∼ 1% accuracy), we find that...
The linear point (LP), defined as the mid-point between dip and peak of two-point clustering correlation function (TPCF), has been shown to be an excellent standard ruler for cosmology. In fact, it is nearly redshift-independent, being weakly sensitive non-linearities, scale-dependent halo bias redshift-space distortions. So far, these findings were tested assuming that neutrinos are massless; in this paper we extend analysis massive-neutrino cosmologies. particular, examine if growth...
We investigate and quantify the impact of mixed (cold warm) dark matter models on large-scale structure observables. In this scenario, comes in two phases, a cold one (CDM) warm (WDM): presence latter causes suppression power spectrum which is allowed by current constraints may be detected present-day upcoming surveys. run large set $N$-body simulations order to build an efficient accurate emulator predict aforementioned with percent precision over wide range values for WDM mass,...
Although it is well known that the bulk of dark matter (DM) has to be cold, existence an additional sub-dominant, hot species remains a valid possibility. In this paper we investigate potential cosmic shear power spectrum constrain such mixed (hot plus cold) DM scenario with two free parameters, hot-to-total fraction ( f hdm ) and thermal mass component m ). Running Bayesian inference analysis for both Kilo-Degree Survey data KiDS-1000 as microwave background (CMB) temperature polarisation...
Massive neutrinos, due to their free streaming, produce a suppression in the matter power spectrum at intermediate and small scales which could be probed by galaxy clustering and/or weak lensing observables. This effect happens that are also influenced baryon feedback, i.e. galactic winds or Active Galactic Nuclei (AGN) realistic hydrodynamic simulations has been shown of power. Leaving aside, for moment, complex issue bias, we focus here on tomographic lensing, investigate possible...
$\textit{Euclid}$ will provide a powerful compilation of data including spectroscopic redshifts, the angular clustering galaxies, weak lensing cosmic shear, and cross-correlation these last two photometric observables. In this study we extend recently presented forecasts into Hu-Sawicki $f(R)$ cosmological model, popular extension Hilbert-Einstein action that introduces an universal modified gravity force in scale-dependent way. Our aim is to estimate how well future be able constrain extra...
The Warm-Hot Intergalactic Medium (WHIM) is believed to host a significant fraction of the ``missing baryons'' in nearby Universe. Its signature has been detected X-ray absorption spectra distant quasars. However, its detection emission, that would allow us study WHIM systematic way, still lacking. Motivated by possibility perform these studies with next generation integral field spectrometers, and thanks availability large suite state-of-the-art hydrodynamic simulations -- CAMELS we here...
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology astrophysics through thousands of cosmological hydrodynamic simulations machine learning. CAMELS contains 4,233 simulations, 2,049 N-body 2,184 state-of-the-art that sample a vast volume in parameter space. In this paper we present the public data release, describing characteristics variety products generated from them, including halo, subhalo, galaxy, void catalogues, power...
Abstract The Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) project was developed to combine cosmology astrophysics through thousands of cosmological hydrodynamic simulations machine learning. CAMELS contains 4233 simulations, 2049 N -body 2184 state-of-the-art that sample a vast volume in parameter space. In this paper, we present the public data release, describing characteristics variety products generated from them, including halo, subhalo, galaxy, void catalogs,...
The Euclid mission of the European Space Agency will provide weak gravitational lensing and galaxy clustering surveys that can be used to constrain standard cosmological model its extensions, with an opportunity test properties dark matter beyond minimal cold paradigm. We present forecasts from combination photometric data on parameters describing four interesting representative non-minimal models: a mixture warm relics; unstable decaying either into massless or massive undergoing feeble...
Over 90% of dark matter haloes in cosmological simulations are unresolved. This hinders the dynamic range and also produces systematic biases when modelling tracers. Current methods cannot accurately preserve multi-dimensional assembly bias found simulations. Here we aim to enhance unresolved structural properties haloes. We have developed HALOSCOPE, a machine learning technique using multi-variate conditional probability distribution functions given input from haloes' local environment. In...
Although it is well known that the bulk of dark matter (DM) has to be cold, existence an additional sub-dominant, hot species remains a valid possibility. In this paper we investigate potential cosmic shear power spectrum constrain such mixed (hot plus cold) DM scenario with two free parameters, hot-to-total fraction ($f_{\rm hdm}$) and thermal mass component ($m_{\rm hdm}$). Running Bayesian inference analysis for both Kilo-Degree Survey data (KiDS) as Cosmic Microwave Background (CMB)...