Search Results for author: Matt J. Jarvis

Found 5 papers, 2 papers with code

A deep radio view of the evolution of the cosmic star-formation rate density from a stellar-mass selected sample in VLA-COSMOS

no code implementations17 Dec 2020 Eliab D. Malefahlo, Matt J. Jarvis, Mario G. Santos, Sarah V. White, Nathan J. Adams, Rebecca A. A. Bowler

Beyond $z\sim 2$, we find that the SFG RLF exhibits a negative evolution ($L^*$ moves to lower luminosities) due to the decrease in low stellar-mass sources in our stellar mass-limited sample at high redshifts.

Astrophysics of Galaxies

GPz: Non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts

1 code implementation12 Apr 2016 Ibrahim A. Almosallam, Matt J. Jarvis, Stephen J. Roberts

The predictive variance of the model takes into account both the variance due to data density and photometric noise.

Instrumentation and Methods for Astrophysics I.2.6

A Sparse Gaussian Process Framework for Photometric Redshift Estimation

no code implementations20 May 2015 Ibrahim A. Almosallam, Sam N. Lindsay, Matt J. Jarvis, Stephen J. Roberts

The proposed framework reaches a mean absolute $\Delta z = 0. 0026(1+z_\textrm{s})$, over the redshift range of $0 \le z_\textrm{s} \le 2$ on the simulated data, and $\Delta z = 0. 0178(1+z_\textrm{s})$ over the entire redshift range on the SDSS DR12 survey, outperforming the standard ANNz used in the literature.

Gaussian Processes Photometric Redshift Estimation +1

Far beyond stacking: Fully bayesian constraints on sub-microJy radio source populations over the XMM-LSS-VIDEO field

2 code implementations9 Mar 2015 Jonathan T. L. Zwart, Mario Santos, Matt J. Jarvis

Measuring radio source counts is critical for characterizing new extragalactic populations, brings a wealth of science within reach and will inform forecasts for SKA and its pathfinders.

Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

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