22 research outputs found
Chlorococcales planctÎnicas do Rio São João, Parque Nacional do Iguaçu, Paranå, Brasil
Rivers affect the biovolume and functional traits of phytoplankton in floodplain lakes
Euclid preparation. XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis
Galaxie
High Resolution Probe for filament transport and current density study at the edge region of W7-X
New records of Cosmarium Corda ex Ralfs in lotic environment, adjacent to the Iguaçu National Park, Paranå State, Brazil
Periphytic Cosmarium (Zygnematophyceae, Desmidiaceae) in lentic environments of the Upper ParanĂĄ River floodplain: Taxonomy and ecological aspects
Pigmented Euglenophyceae of a lentic environment at the Upper ParanĂĄ River Floodplain, Brazil
Euclid: Constraining linearly scale-independent modifications of gravity with the spectroscopic and photometric primary probes
International audienceThe future Euclid space satellite mission will offer an invaluable opportunity to constrain modifications to general relativity at cosmic scales. We focus on modified gravity models characterised, at linear scales, by a scale-independent growth of perturbations while featuring different testable types of derivative screening mechanisms at smaller nonlinear scales. We consider 3 specific models, namely Jordan-Brans-Dicke (JBD), the normal branch of Dvali-Gabadadze-Porrati (nDGP) gravity and -mouflage (KM) gravity. We provide forecasts from spectroscopic and photometric primary probes by Euclid on the cosmological parameters and the extra parameters of the models, respectively, , and , which quantify the deviations from general relativity. This analysis will improve our knowledge of the cosmology of these modified gravity models. The forecasts analysis employs the Fisher matrix method applied to weak lensing (WL); photometric galaxy clustering (GC); spectroscopic galaxy clustering (GC) and the cross-correlation (XC) between GC and WL. For the Euclid survey specifications we define three scenarios, characterised by different cuts in and , to assess the constraining power of nonlinear scales. For each model we consider two fiducial values for the corresponding model parameter. In an optimistic setting at 68.3% confidence interval, with Euclid alone we find the following percentage relative errors: for , with a fiducial value of , 35% using GC alone, 3.6% using GC+WL+XC and 3.3% using GC+WL+XC+GC; for , with a fiducial value of , we find respectively 90%, 20% and 17%; finally, for respectively 5%, 0.15% and 0.14%. (abridged
Euclid: Constraining linearly scale-independent modifications of gravity with the spectroscopic and photometric primary probes
International audienceThe future Euclid space satellite mission will offer an invaluable opportunity to constrain modifications to general relativity at cosmic scales. We focus on modified gravity models characterised, at linear scales, by a scale-independent growth of perturbations while featuring different testable types of derivative screening mechanisms at smaller nonlinear scales. We consider 3 specific models, namely Jordan-Brans-Dicke (JBD), the normal branch of Dvali-Gabadadze-Porrati (nDGP) gravity and -mouflage (KM) gravity. We provide forecasts from spectroscopic and photometric primary probes by Euclid on the cosmological parameters and the extra parameters of the models, respectively, , and , which quantify the deviations from general relativity. This analysis will improve our knowledge of the cosmology of these modified gravity models. The forecasts analysis employs the Fisher matrix method applied to weak lensing (WL); photometric galaxy clustering (GC); spectroscopic galaxy clustering (GC) and the cross-correlation (XC) between GC and WL. For the Euclid survey specifications we define three scenarios, characterised by different cuts in and , to assess the constraining power of nonlinear scales. For each model we consider two fiducial values for the corresponding model parameter. In an optimistic setting at 68.3% confidence interval, with Euclid alone we find the following percentage relative errors: for , with a fiducial value of , 35% using GC alone, 3.6% using GC+WL+XC and 3.3% using GC+WL+XC+GC; for , with a fiducial value of , we find respectively 90%, 20% and 17%; finally, for respectively 5%, 0.15% and 0.14%. (abridged
Euclid: Constraining linearly scale-independent modifications of gravity with the spectroscopic and photometric primary probes
International audienceThe future Euclid space satellite mission will offer an invaluable opportunity to constrain modifications to general relativity at cosmic scales. We focus on modified gravity models characterised, at linear scales, by a scale-independent growth of perturbations while featuring different testable types of derivative screening mechanisms at smaller nonlinear scales. We consider 3 specific models, namely Jordan-Brans-Dicke (JBD), the normal branch of Dvali-Gabadadze-Porrati (nDGP) gravity and -mouflage (KM) gravity. We provide forecasts from spectroscopic and photometric primary probes by Euclid on the cosmological parameters and the extra parameters of the models, respectively, , and , which quantify the deviations from general relativity. This analysis will improve our knowledge of the cosmology of these modified gravity models. The forecasts analysis employs the Fisher matrix method applied to weak lensing (WL); photometric galaxy clustering (GC); spectroscopic galaxy clustering (GC) and the cross-correlation (XC) between GC and WL. For the Euclid survey specifications we define three scenarios, characterised by different cuts in and , to assess the constraining power of nonlinear scales. For each model we consider two fiducial values for the corresponding model parameter. In an optimistic setting at 68.3% confidence interval, with Euclid alone we find the following percentage relative errors: for , with a fiducial value of , 35% using GC alone, 3.6% using GC+WL+XC and 3.3% using GC+WL+XC+GC; for , with a fiducial value of , we find respectively 90%, 20% and 17%; finally, for respectively 5%, 0.15% and 0.14%. (abridged