Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Kazantzidis, Lavrentios"'
Publikováno v:
Phys.Rev.D 106 (2022) 10, 103519
We use a particular machine learning approach, called the genetic algorithms (GA), in order to place constraints on deviations from general relativity (GR) via a possible evolution of Newton's constant $\mu\equiv G_\mathrm{eff}/G_\mathrm{N}$ and of t
Externí odkaz:
http://arxiv.org/abs/2209.12799
Autor:
Abdalla, Elcio, Abellán, Guillermo Franco, Aboubrahim, Amin, Agnello, Adriano, Akarsu, Ozgur, Akrami, Yashar, Alestas, George, Aloni, Daniel, Amendola, Luca, Anchordoqui, Luis A., Anderson, Richard I., Arendse, Nikki, Asgari, Marika, Ballardini, Mario, Barger, Vernon, Basilakos, Spyros, Batista, Ronaldo C., Battistelli, Elia S., Battye, Richard, Benetti, Micol, Benisty, David, Berlin, Asher, de Bernardis, Paolo, Berti, Emanuele, Bidenko, Bohdan, Birrer, Simon, Blakeslee, John P., Boddy, Kimberly K., Bom, Clecio R., Bonilla, Alexander, Borghi, Nicola, Bouchet, François R., Braglia, Matteo, Buchert, Thomas, Buckley-Geer, Elizabeth, Calabrese, Erminia, Caldwell, Robert R., Camarena, David, Capozziello, Salvatore, Casertano, Stefano, Chen, Angela, Chen, Geoff C. F., Chen, Hsin-Yu, Chluba, Jens, Chudaykin, Anton, Cicoli, Michele, Copi, Craig J., Courbin, Fred, Cyr-Racine, Francis-Yan, Czerny, Bozena, Dainotti, Maria, D'Amico, Guido, Davis, Anne-Christine, Pérez, Javier de Cruz, de Haro, Jaume, Delabrouille, Jacques, Denton, Peter B., Dhawan, Suhail, Dienes, Keith R., Di Valentino, Eleonora, Du, Pu, Eckert, Dominique, Escamilla-Rivera, Celia, Ferté, Agnès, Finelli, Fabio, Fosalba, Pablo, Freedman, Wendy L., Frusciante, Noemi, Gaztañaga, Enrique, Giarè, William, Giusarma, Elena, Gómez-Valent, Adrià, Handley, Will, Harrison, Ian, Hart, Luke, Hazra, Dhiraj Kumar, Heavens, Alan, Heinesen, Asta, Hildebrandt, Hendrik, Hill, J. Colin, Hogg, Natalie B., Holz, Daniel E., Hooper, Deanna C., Hosseininejad, Nikoo, Huterer, Dragan, Ishak, Mustapha, Ivanov, Mikhail M., Jaffe, Andrew H., Jang, In Sung, Jedamzik, Karsten, Jimenez, Raul, Joseph, Melissa, Joudaki, Shahab, Kamionkowski, Mark, Karwal, Tanvi, Kazantzidis, Lavrentios, Keeley, Ryan E., Klasen, Michael, Komatsu, Eiichiro, Koopmans, Léon V. E., Kumar, Suresh, Lamagna, Luca, Lazkoz, Ruth, Lee, Chung-Chi, Lesgourgues, Julien, Said, Jackson Levi, Lewis, Tiffany R., L'Huillier, Benjamin, Lucca, Matteo, Maartens, Roy, Macri, Lucas M., Marfatia, Danny, Marra, Valerio, Martins, Carlos J. A. P., Masi, Silvia, Matarrese, Sabino, Mazumdar, Arindam, Melchiorri, Alessandro, Mena, Olga, Mersini-Houghton, Laura, Mertens, James, Milakovic, Dinko, Minami, Yuto, Miranda, Vivian, Moreno-Pulido, Cristian, Moresco, Michele, Mota, David F., Mottola, Emil, Mozzon, Simone, Muir, Jessica, Mukherjee, Ankan, Mukherjee, Suvodip, Naselsky, Pavel, Nath, Pran, Nesseris, Savvas, Niedermann, Florian, Notari, Alessio, Nunes, Rafael C., Colgáin, Eoin Ó, Owens, Kayla A., Ozulker, Emre, Pace, Francesco, Paliathanasis, Andronikos, Palmese, Antonella, Pan, Supriya, Paoletti, Daniela, Bergliaffa, Santiago E. Perez, Perivolaropoulos, Leadros, Pesce, Dominic W., Pettorino, Valeria, Philcox, Oliver H. E., Pogosian, Levon, Poulin, Vivian, Poulot, Gaspard, Raveri, Marco, Reid, Mark J., Renzi, Fabrizio, Riess, Adam G., Sabla, Vivian I., Salucci, Paolo, Salzano, Vincenzo, Saridakis, Emmanuel N., Sathyaprakash, Bangalore S., Schmaltz, Martin, Schöneberg, Nils, Scolnic, Dan, Sen, Anjan A., Sehgal, Neelima, Shafieloo, Arman, Sheikh-Jabbari, M. M., Silk, Joseph, Silvestri, Alessandra, Skara, Foteini, Sloth, Martin S., Soares-Santos, Marcelle, Peracaula, Joan Solà, Songsheng, Yu-Yang, Soriano, Jorge F., Staicova, Denitsa, Starkman, Glenn D., Szapudi, István, Teixeira, Elsa M., Thomas, Brooks, Treu, Tommaso, Trott, Emery, van de Bruck, Carsten, Vazquez, J. Alberto, Verde, Licia, Visinelli, Luca, Wang, Deng, Wang, Jian-Min, Wang, Shao-Jiang, Watkins, Richard, Watson, Scott, Webb, John K., Weiner, Neal, Weltman, Amanda, Witte, Samuel J., Wojtak, Radosław, Yadav, Anil Kumar, Yang, Weiqiang, Zhao, Gong-Bo, Zumalacárregui, Miguel
Publikováno v:
J. High En. Astrophys. 2204, 002 (2022)
In this paper we will list a few important goals that need to be addressed in the next decade, also taking into account the current discordances between the different cosmological probes, such as the disagreement in the value of the Hubble constant $
Externí odkaz:
http://arxiv.org/abs/2203.06142
We study a parametrization of the deceleration parameter in a tilted universe, namely a cosmological model equipped with two families of observers. The first family follows the smooth Hubble flow, while the second are the real observers residing in a
Externí odkaz:
http://arxiv.org/abs/2202.00962
Autor:
Alestas, George, Camarena, David, Di Valentino, Eleonora, Kazantzidis, Lavrentios, Marra, Valerio, Nesseris, Savvas, Perivolaropoulos, Leandros
Publikováno v:
Phys.Rev.D 105 (2022) 6, 063538
Gravitational transitions at low redshifts ($z_t<0.1$) have been recently proposed as a solution to the Hubble and growth tensions. Such transitions would naturally lead to a transition in the absolute magnitude $M$ of type Ia supernovae (SnIa) at $z
Externí odkaz:
http://arxiv.org/abs/2110.04336
Autor:
Saridakis, Emmanuel N., Lazkoz, Ruth, Salzano, Vincenzo, Moniz, Paulo Vargas, Capozziello, Salvatore, Jiménez, Jose Beltrán, De Laurentis, Mariafelicia, Olmo, Gonzalo J., Akrami, Yashar, Bahamonde, Sebastian, Blázquez-Salcedo, Jose Luis, Böhmer, Christian G., Bonvin, Camille, Bouhmadi-López, Mariam, Brax, Philippe, Calcagni, Gianluca, Casadio, Roberto, Cembranos, Jose A. R., de la Cruz-Dombriz, Álvaro, Davis, Anne-Christine, Delhom, Adrià, Di Valentino, Eleonora, Dialektopoulos, Konstantinos F., Elder, Benjamin, Ezquiaga, Jose María, Frusciante, Noemi, Garattini, Remo, Gergely, László Á., Giusti, Andrea, Heisenberg, Lavinia, Hohmann, Manuel, Iosifidis, Damianos, Kazantzidis, Lavrentios, Kleihaus, Burkhard, Koivisto, Tomi S., Kunz, Jutta, Lobo, Francisco S. N., Martinelli, Matteo, Martín-Moruno, Prado, Mimoso, José Pedro, Mota, David F., Peirone, Simone, Perivolaropoulos, Leandros, Pettorino, Valeria, Pfeifer, Christian, Pizzuti, Lorenzo, Rubiera-Garcia, Diego, Said, Jackson Levi, Sakellariadou, Mairi, Saltas, Ippocratis D., Mancini, Alessio Spurio, Voicu, Nicoleta, Wojnar, Aneta
General Relativity and the $\Lambda$CDM framework are currently the standard lore and constitute the concordance paradigm. Nevertheless, long-standing open theoretical issues, as well as possible new observational ones arising from the explosive deve
Externí odkaz:
http://arxiv.org/abs/2105.12582
Publikováno v:
Phys. Rev. D 103, 083517 (2021)
A rapid phantom transition of the dark energy equation of state parameter $w$ at a transition redshift $z_t<0.1$ of the form $w(z)=-1+\Delta w\;\Theta (z_t-z)$ with $\Delta w<0$ can lead to a higher value of the Hubble constant while closely mimickin
Externí odkaz:
http://arxiv.org/abs/2012.13932
Dynamical observational probes of the growth of density perturbations indicate that gravity may be getting weaker at low redshifts $z$. This evidence is at about $2-3\sigma$ level and comes mainly from weak lensing data that measure the parameter $S_
Externí odkaz:
http://arxiv.org/abs/1907.03176
Publikováno v:
International Journal of Modern Physics D, Vol. 28, No. 05, 1942001 (2019)
General Relativity (GR) is consistent with a wide range of experiments/observations from millimeter scales up to galactic scales and beyond. However, there are reasons to believe that GR may need to be modified because it includes singularities (it i
Externí odkaz:
http://arxiv.org/abs/1904.09462
Publikováno v:
Phys. Rev. D 98, 104044 (2018)
Recent analyses \cite{Nesseris:2017vor,Kazantzidis:2018rnb} have indicated that an effective Newton's constant $G_{\rm eff}(z)$ decreasing with redshift may relieve the observed tension between the Planck15 best fit $\Lambda$CDM cosmological backgrou
Externí odkaz:
http://arxiv.org/abs/1809.07034
Publikováno v:
Phys. Rev. D 97, 103503 (2018)
We construct an updated extended compilation of distinct (but possibly correlated) $f\sigma_8(z)$ Redshift Space Distortion (RSD) data published between 2006 and 2018. It consists of 63 datapoints and is significantly larger than previously used simi
Externí odkaz:
http://arxiv.org/abs/1803.01337