Scant evidence for thawing quintessence
Physical Review D American Physical Society (APS) 110:8 (2024) 083528
Characterising the contribution of dust-obscured star formation at z ≳ 5 using 18 serendipitously identified [C ii] emitters
Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 534:3 (2024) 2062-2085
Euclid: Constraining linearly scale-independent modifications of gravity with the spectroscopic and photometric primary probes★
Astronomy & Astrophysics EDP Sciences 690 (2024) ARTN A133
Abstract:
Context. The future Euclid space satellite mission will offer an invaluable opportunity to constrain modifications to Einstein's general relativity at cosmic scales. In this paper, 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 non-linear scales. Aims. We considered three specific models, namely Jordan-Brans-Dicke, a scalar-tensor theory with a flat potential, the normal branch of Dvali-Gabadadze-Porrati (nDGP) gravity, a braneworld model in which our Universe is a four-dimensional brane embedded in a five-dimensional Minkowski space-time, and k-mouflage gravity, an extension of k-essence scenarios with a universal coupling of the scalar field to matter. In preparation for real data, we provide forecasts from spectroscopic and photometric primary probes by Euclid on the cosmological parameters and the additional parameters of the models, respectively, ΩBD, ΩCyrillic small letter GHEc and ϵ2,0, which quantify the deviations from general relativity. This analysis will improve our knowledge of the cosmology of these modified gravity models. Methods. The forecast analysis employs the Fisher matrix method applied to weak lensing (WL); photometric galaxy clustering (GCph), spectroscopic galaxy clustering (GCsp) and the cross-correlation (XC) between GCph and WL. For the Euclid survey specifications, we define three scenarios that are characterised by different cuts in the maximum multipole and wave number, to assess the constraining power of non-linear scales. For each model we considered two fiducial values for the corresponding model parameter. Results. In an optimistic setting at 68.3% confidence interval, we find the following percentage relative errors with Euclid alone: for log10 ΩBD, with a fiducial value of ΩBD = 800, 27.1% using GCsp alone, 3.6% using GCph+WL+XC and 3.2% using GCph+WL+XC+GCsp; for log10 ΩCyrillic small letter GHEc, with a fiducial value of ΩCyrillic small letter GHEc = 0.25, we find 93.4, 20 and 15% respectively; and finally, for ϵ2,0 = -0.04, we find 3.4%, 0.15%, and 0.14%. From the relative errors for fiducial values closer to their ∇CDM limits, we find that most of the constraining power is lost. Our results highlight the importance of the constraining power from non-linear scales.Self-interacting scalar dark matter around binary black holes
Physical Review D American Physical Society (APS) 110:8 (2024) 83011
Abstract:
Gravitational waves can provide crucial insights about the environments in which black holes live. In this work, we use numerical relativity simulations to study the behavior of self-interacting scalar (wavelike) dark matter clouds accreting onto isolated and binary black holes. We find that repulsive self-interactions smoothen the "spike"of an isolated black hole and saturate the density. Attractive self-interactions enhance the growth and result in more cuspy profiles, but can become unstable and undergo explosions akin to the superradiant bosenova that reduce the local cloud density. We quantify the impact of self-interactions on an equal-mass black hole merger by computing the dephasing of the gravitational-wave signal for a range of couplings. We find that repulsive self-interactions saturate the density of the cloud, thereby reducing the dephasing. For attractive self-interactions, the dephasing may be larger, but if these interactions dominate prior to the merger, the dark matter can undergo bosenova during the inspiral phase, disrupting the cloud and subsequently reducing the dephasing.Finding radio transients with anomaly detection and active learning based on volunteer classifications
(2024)