Search arXiv⌕ Search

arXiv · 1402.5654

Galaxy and Mass Assembly (GAMA): The evolution of bias in the radio source population to z ~ 1.5

Abstract

We present a large-scale clustering analysis of radio galaxies in the Very Large Array (VLA) Faint Images of the Radio Sky at Twenty-cm (FIRST) survey over the Galaxy And Mass Assembly (GAMA) survey area, limited to S1.4 GHz >1 mJy with spectroscopic and photometric redshift limits up to r < 19.8 and r < 22 mag, respectively. For the GAMA spectroscopic matches, we present the redshift-space and projected correlation functions, the latter of which yielding a correlation length r0 ~ 8.2 Mpc/h and linear bias of ~1.9 at z ~ 0.34. Furthermore, we use the angular two-point correlation function w(θ) to determine spatial clustering properties at higher redshifts. We find r0 to increase from ~6 to ~14 Mpc/h between z = 0.3 and z = 1.55, with the corresponding bias increasing from ~2 to ~10 over the same range. Our results are consistent with the bias prescription implemented in the SKADS simulations at low redshift, but exceed these predictions at z > 1. This is indicative of an increasing (rather than fixed) halo mass and/or AGN fraction at higher redshifts or a larger typical halo mass for the more abundant FRI sources.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

S. N. Lindsay, M. J. Jarvis, M. G. Santos, M. J. I. Brown, S. M. Croom, S. P. Driver, A. M. Hopkins, J. Liske, J. Loveday, P. Norberg, A. S. G. Robotham. 2014-02-23. Galaxy and Mass Assembly (GAMA): The evolution of bias in the radio source population to z ~ 1.5. https://doi.org/10.1093/mnras%2Fstu354

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Metastable Dark Energy on the Phantom Brane

Recent DESI observations hint at a preference for dynamical dark energy with an equation of state (EoS) that crosses the phantom divide at $w=-1$. In this work, we investigate \textit{metastable} dark energy (DE) on the minimal phantom brane. Braneworld effects lead to $w < -1$ at early times, whereas metastable decay of DE results in $w > -1$ at late times. We consider three metastable decay prescriptions on the phantom brane: an exponentially decaying DE component (M1), decay of DE into non-baryonic dark matter (M2), and decay into dark radiation (M3). Using CMB observations, DESI DR2 BAO measurements, and the DES-Dovekie Type Ia supernova sample, we compare these models with $Λ$CDM, the Chevallier--Polarski--Linder (CPL) parametrization, and the minimal phantom-brane model with a non-decaying $Λ$. We find that metastable models on the brane are preferred over $Λ$CDM, their decay rates being $Γ/H_0=0.362\pm0.086$, $0.539\pm0.125$, and $0.483\pm0.112$ for M1, M2, and M3, respectively. Best fits of metastable models improve over $Λ$CDM by $Δχ^2_{\rm MAP}=-17.14$, $-18.76$, and $-18.22$, while the corresponding $Δ{\rm DIC}$ values are $-8.66$, $-9.63$, and $-6.56$. Braneworld screening drives effective phantom behaviour at $z\gtrsim0.4$, while DE decay drives the EoS toward non-phantom values closer to the present epoch, with the phantom divide $w=-1$ being crossed at $z \simeq 0.3$--$0.4$. These results show that the interplay between metastable decay and phantom-brane screening provides a simple physical mechanism for an effective crossing of the phantom divide consistent with DESI observations.

astro-ph.CO↗

CMB constraints on dark matter-proton scattering: investigating prior-volume effects using profile likelihoods

We present profile-likelihood constraints on velocity-independent dark matter-proton scattering, including cases in which only a fraction of dark matter has such non-gravitational interactions. Frequentist profile-likelihood techniques provide prior-independent constraints, circumventing prior-volume effects that we show arise in Bayesian constraints on this model. In the limit where the scattering cross section or the fraction of interacting dark matter approaches zero, the other interacting dark matter model parameters become unconstrained, causing the posterior distribution to favor that region of parameter space. Using Planck 2018 cosmic microwave background anisotropy data, we find a clear impact of prior-volume effects on the posteriors used to place constraints on dark matter scattering. Compared to the frequentist analysis, the Bayesian method consistently overestimates the constraints on the cross section. Given the potentially biased upper limits on models subject to prior-volume effects, such as this one, we recommend supplementing Bayesian constraints with frequentist statistics to better assess the impact of priors.

astro-ph.CO↗

Forecasting Coupled Dark Energy Parameters with the One-Loop Galaxy Power Spectrum

We forecast constraints on the parameters of the coupled dark energy model using DESI and Euclid data with the one-loop galaxy power spectrum. We investigate the distinguishability of our model from the zero-coupling scenario at the $1σ$ level and explore how the parameter constraints depend on the fiducial coupling $β_{\rm fid}$, the fixed potential slope parameter $ν$, the maximum wavenumber $k_{\max}$, and different prior choices. We find that the inclusion of mildly non-linear scales improves the constraints on the coupling by roughly a factor of five. Then, we address the question of which is the minimum value of $β$ that can be distinguished from zero at $1σ$. We find that for our reference case $k_{\rm max}=0.2 h/$Mpc, $β=0.15$ lies roughly $1σ$ above zero. In the most optimistic case with $k_{\rm max}=0.3 h/$Mpc and including a Planck prior on $Ω_{m0}$, this value can be reduced to $0.05$. These values are substantially larger than the current constraints on $β$, but the latter have been obtained assuming $β$ to be constant from at least the decoupling epoch to today, while we only employ late-time data. We conclude therefore that only models that allow for time-varying couplings can be detected with late-time datasets.

astro-ph.CO↗