Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Lumen Boco"'
Publikováno v:
Galaxies, Vol 12, Iss 4, p 49 (2024)
We devise and exploit a data-driven, semi-empirical framework of galaxy formation and evolution, coupling it to recipes for planet formation from stellar and planetary science, to compute the cosmic planet formation rate, and the properties of the pl
Externí odkaz:
https://doaj.org/article/f2f51e31b87f40f9abd9fbbe320742c9
Autor:
Andrea Lapi, Giovanni Gandolfi, Lumen Boco, Francesco Gabrielli, Marcella Massardi, Balakrishna S. Haridasu, Carlo Baccigalupi, Alessandro Bressan, Luigi Danese
Publikováno v:
Universe, Vol 10, Iss 3, p 141 (2024)
We aim to constrain the stellar initial mass function (IMF) during the epoch of reionization. To this purpose, we build up a semi-empirical model for the reionization history of the Universe based on various ingredients: the latest determination of t
Externí odkaz:
https://doaj.org/article/439ea816697641bf8317ef0f402bd592
Autor:
Andrea Lapi, Lumen Boco, Marcos M. Cueli, Balakrishna S. Haridasu, Tommaso Ronconi, Carlo Baccigalupi, Luigi Danese
Publikováno v:
The Astrophysical Journal, Vol 959, Iss 2, p 83 (2023)
We propose a model of the Universe (dubbed η CDM) featuring a controlled stochastic evolution of the cosmological quantities that is meant to render the effects of small deviations from homogeneity/isotropy on scales of 30–50 h ^−1 Mpc at late c
Externí odkaz:
https://doaj.org/article/5ab4347fdfc2466cb618918c00720cb7
Autor:
Francesca Perrotta, Marika Giulietti, Marcella Massardi, Giovanni Gandolfi, Tommaso Ronconi, Maria Vittoria Zanchettin, Quirino D’ Amato, Meriem Behiri, Martina Torsello, Francesco Gabrielli, Lumen Boco, Vincenzo Galluzzi, Andrea Lapi
Publikováno v:
The Astrophysical Journal, Vol 952, Iss 1, p 90 (2023)
We report Atacama Large Millimeter/submillimeter Array (ALMA) high-resolution (≲0.3″) observations of water emission lines p -H _2 O(2 _02 − 1 _11 ), o -H _2 O(3 _21 − 3 _12 ), p -H _2 O(4 _22 − 4 _13 ), in the strongly lensed galaxy HATLAS
Externí odkaz:
https://doaj.org/article/ddd79f7f90454eb9b49eabbf64cf6772
Publikováno v:
The Astrophysical Journal, Vol 943, Iss 2, p 72 (2023)
Many recent works have shown that the angular resolution of ground-based detectors is too poor to characterize the anisotropies of the stochastic gravitational-wave background (SGWB). For this reason, we asked ourselves if a constellation of space-ba
Externí odkaz:
https://doaj.org/article/c068d7c779d144c5aa2935ae7d523e9b
Autor:
Andrea Lapi, Tommaso Ronconi, Lumen Boco, Francesco Shankar, Nicoletta Krachmalnicoff, Carlo Baccigalupi, Luigi Danese
Publikováno v:
Universe, Vol 8, Iss 9, p 476 (2022)
We derived astroparticle constraints in different dark matter scenarios that are alternatives to cold dark matter (CDM): thermal relic warm dark matter, WDM; fuzzy dark matter, ψDM; self-interacting dark matter, SIDM; sterile neutrino dark matter,
Externí odkaz:
https://doaj.org/article/14bef31540574d37a90200629911e944
Einstein, Planck and Vera Rubin: Relevant Encounters Between the Cosmological and the Quantum Worlds
Autor:
Paolo Salucci, Giampiero Esposito, Gaetano Lambiase, Emmanuele Battista, Micol Benetti, Donato Bini, Lumen Boco, Gauri Sharma, Valerio Bozza, Luca Buoninfante, Antonio Capolupo, Salvatore Capozziello, Giovanni Covone, Rocco D’Agostino, Mariafelicia De Laurentis, Ivan De Martino, Giulia De Somma, Elisabetta Di Grezia, Chiara Di Paolo, Lorenzo Fatibene, Viviana Gammaldi, Andrea Geralico, Lorenzo Ingoglia, Andrea Lapi, Giuseppe G. Luciano, Leonardo Mastrototaro, Adele Naddeo, Lara Pantoni, Luciano Petruzziello, Ester Piedipalumbo, Silvia Pietroni, Aniello Quaranta, Paolo Rota, Giuseppe Sarracino, Francesco Sorge, Antonio Stabile, Cosimo Stornaiolo, Antonio Tedesco, Riccardo Valdarnini, Stefano Viaggiu, Andy A. V. Yunge
Publikováno v:
Frontiers in Physics, Vol 8 (2021)
In Cosmology and in Fundamental Physics there is a crucial question like: where the elusive substance that we call Dark Matter is hidden in the Universe and what is it made of? that, even after 40 years from the Vera Rubin seminal discovery [1] does
Externí odkaz:
https://doaj.org/article/4fa357e39b4244298153f4c9ef9a5ab2
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 516:3297-3317
The merger rate density evolution of binary compact objects and the properties of their host galaxies carry crucial information to understand the sources of gravitational waves. Here, we present galaxyRate, a new code that estimates the merger rate d
Many recent works have shown that the angular resolution of ground-based detectors is too poor to characterize the anisotropies of the stochastic gravitational-wave background (SGWB). For this reason, we asked ourselves if a constellation of space-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e65f0c8c37c362133776feff9c47f74f
http://arxiv.org/abs/2212.06162
http://arxiv.org/abs/2212.06162
Autor:
Hao Fu, Francesco Shankar, Mohammadreza Ayromlou, Max Dickson, Ioanna Koutsouridou, Yetli Rosas-Guevara, Christopher Marsden, Kristina Brocklebank, Mariangela Bernardi, Nikolaos Shiamtanis, Joseph Williams, Lorenzo Zanisi, Viola Allevato, Lumen Boco, Silvia Bonoli, Andrea Cattaneo, Paola Dimauro, Fangzhou Jiang, Andrea Lapi, Nicola Menci, Stefani Petropoulou, Carolin Villforth
Publikováno v:
Fu, H, Shankar, F, Ayromlou, M, Dickson, M, Koutsouridou, I, Rosas-Guevara, Y, Marsden, C, Brocklebank, K, Bernardi, M, Shiamtanis, N, Williams, J, Zanisi, L, Allevato, V, Boco, L, Bonoli, S, Cattaneo, A, Dimauro, P, Jiang, F, Lapi, A, Menci, N, Petropoulou, S & Villforth, C 2022, ' Testing the key role of the stellar mass-halo mass relation in galaxy merger rates and morphologies via DECODE, a novel Discrete statistical sEmi-empiriCal mODEl ', Monthly Notices of the Royal Astronomical Society, vol. 516, no. 3, pp. 3206-3233 . https://doi.org/10.1093/mnras/stac2205
The relative roles of mergers and star formation in regulating galaxy growth are still a matter of intense debate. We here present our DECODE, a new Discrete statistical sEmi-empiriCal mODEl specifically designed to predict rapidly and efficiently, i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ad0ed13e0e5f88af4f4c06d6f0eac11
http://hdl.handle.net/20.500.11767/129830
http://hdl.handle.net/20.500.11767/129830