SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Camera L. A.) "

Search: WFRF:(Camera L. A.)

  • Result 11-20 of 98
Sort/group result
   
EnumerationReferenceCoverFind
11.
  •  
12.
  •  
13.
  •  
14.
  •  
15.
  •  
16.
  •  
17.
  •  
18.
  •  
19.
  • De Angelis, A., et al. (author)
  • Science with e-ASTROGAM A space mission for MeV-GeV gamma-ray astrophysics
  • 2018
  • In: Journal of High Energy Astrophysics. - : Elsevier. - 2214-4048 .- 2214-4056. ; 19, s. 1-106
  • Journal article (peer-reviewed)abstract
    • e-ASTROGAM ('enhanced ASTROGAM') is a breakthrough Observatory space mission, with a detector composed by a Silicon tracker, a calorimeter, and an anticoincidence system, dedicated to the study of the non-thermal Universe in the photon energy range from 0.3 MeV to 3 GeV - the lower energy limit can be pushed to energies as low as 150 keV for the tracker, and to 30 keV for calorimetric detection. The mission is based on an advanced space-proven detector technology, with unprecedented sensitivity, angular and energy resolution, combined with polarimetric capability. Thanks to its performance in the MeV-GeV domain, substantially improving its predecessors, e-ASTROGAM will open a new window on the non-thermal Universe, making pioneering observations of the most powerful Galactic and extragalactic sources, elucidating the nature of their relativistic outflows and their effects on the surroundings. With a line sensitivity in the MeV energy range one to two orders of magnitude better than previous generation instruments, e-ASTROGAM will determine the origin of key isotopes fundamental for the understanding of supernova explosion and the chemical evolution of our Galaxy. The mission will provide unique data of significant interest to a broad astronomical community, complementary to powerful observatories such as LIGO-Virgo-GEO600-KAGRA, SKA, ALMA, E-ELT, TMT, LSST, JWST, Athena, CTA, IceCube, KM3NeT, and LISA.
  •  
20.
  • Pezzotta, A., et al. (author)
  • Euclid preparation XLI. Galaxy power spectrum modelling in real space
  • 2024
  • In: Astronomy and Astrophysics. - : EDP Sciences. - 0004-6361 .- 1432-0746. ; 687
  • Journal article (peer-reviewed)abstract
    • We investigate the accuracy of the perturbative galaxy bias expansion in view of the forthcoming analysis of the Euclid spectroscopic galaxy samples. We compare the performance of a Eulerian galaxy bias expansion using state-of-the-art prescriptions from the effective field theory of large-scale structure (EFTofLSS) with a hybrid approach based on Lagrangian perturbation theory and high-resolution simulations. These models are benchmarked against comoving snapshots of the flagship I N-body simulation at z = (0.9, 1.2, 1.5, 1.8), which have been populated with H alpha galaxies leading to catalogues of millions of objects within a volume of about 58 h(-3) Gpc(3). Our analysis suggests that both models can be used to provide a robust inference of the parameters (h, omega c) in the redshift range under consideration, with comparable constraining power. We additionally determine the range of validity of the EFTofLSS model in terms of scale cuts and model degrees of freedom. From these tests, it emerges that the standard third-order Eulerian bias expansion - which includes local and non-local bias parameters, a matter counter term, and a correction to the shot-noise contribution - can accurately describe the full shape of the real-space galaxy power spectrum up to the maximum wavenumber of k(max) = 0.45 h Mpc(-1), and with a measurement precision of well below the percentage level. Fixing either of the tidal bias parameters to physically motivated relations still leads to unbiased cosmological constraints, and helps in reducing the severity of projection effects due to the large dimensionality of the model. We finally show how we repeated our analysis assuming a volume that matches the expected footprint of Euclid, but without considering observational effects, such as purity and completeness, showing that we can get constraints on the combination (h, omega c) that are consistent with the fiducial values to better than the 68% confidence interval over this range of scales and redshifts.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 11-20 of 98
Type of publication
journal article (88)
conference paper (8)
research review (2)
Type of content
peer-reviewed (98)
Author/Editor
Camera, F. (62)
Benzoni, G. (53)
Wieland, O. (49)
Bracco, A. (42)
Crespi, F.C.L. (36)
Million, B. (36)
show more...
Pietri, S. (36)
Gerl, J. (35)
Maj, A. (34)
Kurz, N (33)
Bazzacco, D. (33)
Kojouharov, I. (33)
Leoni, S. (33)
Wollersheim, H.J. (33)
Jungclaus, A. (32)
Mengoni, D. (31)
Schaffner, H. (31)
Recchia, F. (30)
Gottardo, A. (30)
Bednarczyk, P. (29)
Gadea, A. (29)
Rudolph, Dirk (29)
Valiente-Dobón, J. J ... (28)
de Angelis, G. (27)
Menegazzo, R. (27)
Brambilla, S. (26)
Farnea, E. (26)
Regan, P. H. (25)
Geissel, H. (25)
Şahin, E. (24)
Reiter, P. (23)
Walker, P.M. (23)
Bruce, A.M. (23)
Arabloo, J (22)
Fischer, F (22)
Yonemoto, N (22)
Lunardi, S. (22)
Prokopowicz, W. (22)
Diaz, D (21)
Rawaf, S (20)
Bhattacharyya, K (19)
Koyanagi, A (19)
Krishan, K (19)
Lasrado, S (19)
Mohammed, S (19)
Monasta, L (19)
Sahebkar, A (19)
Sathian, B (19)
Habermann, T. (19)
Nicolini, R. (19)
show less...
University
Lund University (44)
Uppsala University (38)
Royal Institute of Technology (20)
Karolinska Institutet (20)
University of Gothenburg (6)
Högskolan Dalarna (6)
show more...
Stockholm University (5)
Chalmers University of Technology (3)
Mid Sweden University (2)
Umeå University (1)
Luleå University of Technology (1)
Jönköping University (1)
show less...
Language
English (98)
Research subject (UKÄ/SCB)
Natural sciences (70)
Medical and Health Sciences (18)
Engineering and Technology (1)

Year

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view