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Black Hole

Lensing of space time around a black hole. At Oxford we study black holes observationally and theoretically on all size and time scales - it is some of our core work.

Credit: ALAIN RIAZUELO, IAP/UPMC/CNRS. CLICK HERE TO VIEW MORE IMAGES.

Prof. David Alonso

Associate Professor of Cosmology

Sub department

  • Astrophysics

Research groups

  • Beecroft Institute for Particle Astrophysics and Cosmology
  • Rubin-LSST
David.Alonso@physics.ox.ac.uk
Telephone: 01865 (2)288582
Denys Wilkinson Building, room 532B
  • About
  • Publications

Modelling cross-correlations of ultra-high-energy cosmic rays and galaxies

(2023)

Authors:

Federico R Urban, Stefano Camera, David Alonso
More details from the publisher

Cosmology from LOFAR Two-metre Sky Survey data release 2: angular clustering of radio sources

Monthly Notices of the Royal Astronomical Society Oxford University Press 527:3 (2023) 6540-6568

Authors:

Cl Hale, Dj Schwarz, Pn Best, Sj Nakoneczny, David Alonso, D Bacon, L Böhme, N Bhardwaj, M Bilicki, S Camera, Cs Heneka, M Pashapour-Ahmadabadi, P Tiwari, J Zheng, Kj Duncan, Mj Jarvis, R Kondapally, M Magliocchetti, Hja Rottgering, Tw Shimwell

Abstract:

Covering ∼ 5600 deg2 to rms sensitivities of ∼70−100 μJy beam−1, the LOFAR Two-metre Sky Survey Data Release 2 (LoTSS-DR2) provides the largest low-frequency (∼150 MHz) radio catalogue to date, making it an excellent tool for large-area radio cosmology studies. In this work, we use LoTSS-DR2 sources to investigate the angular two-point correlation function of galaxies within the survey. We discuss systematics in the data and an improved methodology for generating random catalogues, compared to that used for LoTSS-DR1, before presenting the angular clustering for ∼900 000 sources ≥1.5 mJy and a peak signal-to-noise ≥ 7.5 across ∼80 per cent of the observed area. Using the clustering, we infer the bias assuming two evolutionary models. When fitting angular scales of 0.5 ≤ θ < 5◦, using a linear bias model, we find LoTSS-DR2 sources are biased tracers of the underlying matter, with a bias of bC = 2.14+0.22 −0.20 (assuming constant bias) and bE(z = 0) = 1.79+0.15 −0.14 (for an evolving model, inversely proportional to the growth factor), corresponding to bE = 2.81+0.24 −0.22 at the median redshift of our sample, assuming the LoTSS Deep Fields redshift distribution is representative of our data. This reduces to bC = 2.02+0.17 −0.16 and bE(z = 0) = 1.67+0.12 −0.12 when allowing preferential redshift distributions from the Deep Fields to model our data. Whilst the clustering amplitude is slightly lower than LoTSS-DR1 (≥2 mJy), our study benefits from larger samples and improved redshift estimates.
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LimberJack.jl: auto-differentiable methods for angular power spectra analyses

(2023)

Authors:

J Ruiz-Zapatero, D Alonso, C García-García, A Nicola, A Mootoovaloo, JM Sullivan, M Bonici, PG Ferreira
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Details from ArXiV

Cosmology from LOFAR Two-metre Sky Survey Data Release 2: Cross-correlation with the cosmic microwave background

(2023)

Authors:

SJ Nakoneczny, D Alonso, M Bilicki, DJ Schwarz, CL Hale, A Pollo, C Heneka, P Tiwari, J Zheng, M Brüggen, MJ Jarvis, TW Shimwell
More details from the publisher

Cosmology from LOFAR Two-metre Sky Survey Data Release 2: Angular Clustering of Radio Sources

(2023)

Authors:

CL Hale, DJ Schwarz, PN Best, SJ Nakoneczny, D Alonso, D Bacon, L Böhme, N Bhardwaj, M Bilicki, S Camera, CS Heneka, M Pashapour-Ahmadabadi, P Tiwari, J Zheng, KJ Duncan, MJ Jarvis, R Kondapally, M Magliocchetti, HJA Rottgering, TW Shimwell
More details from the publisher

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