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19982024
most citedPlanck 2013 results. XVI. Cosmological parameters

6.6k citations · 31.5k across the 180 of their papers we have counts for

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81 papers · 1 filter

astro-ph.CO2024★ 1 cited

Reproducibility of machine learning analyses of 21 cm reionization maps

Kimeel Sooknunan, Emma Chapman, Luke Conaboy +2

Machine learning (ML) methods have become popular for parameter inference in cosmology, although their reliance on specific training data can cause difficulties when applied across…

astro-ph.CO2023★ 15 cited

Field-level inference of cosmic shear with intrinsic alignments and baryons

Natalia Porqueres, Alan Heavens, Daniel Mortlock +2

We construct a field-based Bayesian Hierarchical Model for cosmic shear that includes, for the first time, the important astrophysical systematics of intrinsic alignments and baryo…

astro-ph.CO2022★ 31 cited

Forward modeling of galaxy populations for cosmological redshift distribution inference

Justin Alsing, Hiranya Peiris, Daniel Mortlock +2

We present a forward modeling framework for estimating galaxy redshift distributions from photometric surveys. Our forward model is composed of: a detailed population model describ…

astro-ph.CO2021★ 52 cited

Lifting weak lensing degeneracies with a field-based likelihood

Natalia Porqueres, Alan Heavens, Daniel Mortlock +1

We present a field-based approach to the analysis of cosmic shear data to infer jointly cosmological parameters and the dark matter distribution. This forward modelling approach sa…

astro-ph.CO2020★ 37 cited

Prospects for Measuring the Hubble Constant with Neutron-Star-Black-Hole Mergers

Stephen M. Feeney, Hiranya V. Peiris, Samaya M. Nissanke +1

Gravitational wave (GW) and electromagnetic (EM) observations of neutron-star-black-hole (NSBH) mergers can provide precise local measurements of the Hubble constant (), ideal…

astro-ph.CO2020★ 40 cited

Bayesian forward modelling of cosmic shear data

Natalia Porqueres, Alan Heavens, Daniel Mortlock +1

We present a Bayesian hierarchical modelling approach to infer the cosmic matter density field, and the lensing and the matter power spectra, from cosmic shear data. This method us…

astro-ph.CO2018★ 62 cited

Unbiased Hubble constant estimation from binary neutron star mergers

Daniel J. Mortlock, Stephen M. Feeney, Hiranya V. Peiris +2

Gravitational wave (GW) observations of binary neutron star (BNS) mergers can be used to measure luminosity distances and hence, when coupled with estimates for the mergers' host r…

astro-ph.CO2018★ 227 cited

Prospects for resolving the Hubble constant tension with standard sirens

Stephen M. Feeney, Hiranya V. Peiris, Andrew R. Williamson +4

The Hubble constant () estimated from the local Cepheid-supernova (SN) distance ladder is in 3- tension with the value extrapolated from cosmic microwave background (CMB) d…

astro-ph.CO2017★ 157 cited

Clarifying the Hubble constant tension with a Bayesian hierarchical model of the local distance ladder

Stephen M. Feeney, Daniel J. Mortlock, Niccolò Dalmasso

Estimates of the Hubble constant, , from the distance ladder and the cosmic microwave background (CMB) differ at the 3- level, indicating a potential issue with the s…

astro-ph.CO2017★ 52 cited

Observations of the Lyman series forest towards the redshift 7.1 quasar ULAS J1120+0641

R. Barnett, S. J. Warren, G. D. Becker +5

We present a 30h integration Very Large Telescope X-shooter spectrum of the Lyman series forest towards the quasar ULAS J1120+0641. The only detected transmission at ${…

astro-ph.CO2016★ 55 cited

Hierarchical Bayesian inference of galaxy redshift distributions from photometric surveys

Boris Leistedt, Daniel J. Mortlock, Hiranya V. Peiris

Accurately characterizing the redshift distributions of galaxies is essential for analysing deep photometric surveys and testing cosmological models. We present a technique to simu…

astro-ph.CO2015★ 18 cited

Planck intermediate results. XLI. A map of lensing-induced B-modes

Planck Collaboration, P. A. R. Ade, N. Aghanim +178

The secondary cosmic microwave background (CMB) -modes stem from the post-decoupling distortion of the polarization -modes due to the gravitational lensing effect of large-sc…

astro-ph.CO2015★ 38 cited

Planck intermediate results. XL. The Sunyaev-Zeldovich signal from the Virgo cluster

Planck Collaboration, P. A. R. Ade, N. Aghanim +202

The Virgo cluster is the largest Sunyaev-Zeldovich (SZ) source in the sky, both in terms of angular size and total integrated flux. Planck's wide angular scale and frequency covera…

astro-ph.CO2015★ 22 cited

Quasars as probes of cosmological reionization

Daniel J. Mortlock

Quasars are the most luminous non-transient sources in the epoch of cosmological reionization (i.e., which ended a billion years after the Big Bang, corresponding to a redshift of…

astro-ph.CO2015★ 140 cited

Planck 2015 results. XXIII. The thermal Sunyaev-Zeldovich effect--cosmic infrared background correlation

Planck Collaboration, P. A. R. Ade, N. Aghanim +199

We use Planck data to detect the cross-correlation between the thermal Sunyaev-Zeldovich (tSZ) effect and the infrared emission from the galaxies that make up the the cosmic infrar…

astro-ph.CO2015★ 79 cited

Planck 2015 results. XII. Full Focal Plane simulations

Planck Collaboration, P. A. R. Ade, N. Aghanim +228

We present the 8th Full Focal Plane simulation set (FFP8), deployed in support of the Planck 2015 results. FFP8 consists of 10 fiducial mission realizations reduced to 18144 maps,…

astro-ph.CO2015★ 80 cited

Planck 2013 results. XXXI. Consistency of the Planck data

Planck Collaboration, P. A. R. Ade, M. Arnaud +180

The Planck design and scanning strategy provide many levels of redundancy that can be exploited to provide tests of internal consistency. One of the most important is the compariso…

astro-ph.CO2015★ 98 cited

Planck 2015 results. III. LFI systematic uncertainties

Planck Collaboration, P. A. R. Ade, J. Aumont +166

We present the current accounting of systematic effect uncertainties for the Low Frequency Instrument (LFI) that are relevant to the 2015 release of the Planck cosmological results…

astro-ph.CO2015★ 721 cited

Planck 2015 results. XI. CMB power spectra, likelihoods, and robustness of parameters

Planck Collaboration, N. Aghanim, M. Arnaud +221

This paper presents the Planck 2015 likelihoods, statistical descriptions of the 2-point correlations of CMB data, using the hybrid approach employed previously: pixel-based at $\e…

astro-ph.CO2015★ 146 cited

Planck 2015 results. XXVI. The Second Planck Catalogue of Compact Sources

Planck Collaboration, P. A. R. Ade, N. Aghanim +240

The Second Planck Catalogue of Compact Sources is a catalogue of sources detected in single-frequency maps from the full duration of the Planck mission and supersedes previous vers…

astro-ph.CO2015★ 428 cited

Planck 2015 results. XVI. Isotropy and statistics of the CMB

Planck Collaboration, P. A. R. Ade, N. Aghanim +242

We test the statistical isotropy and Gaussianity of the cosmic microwave background (CMB) anisotropies using observations made by the Planck satellite. Our results are based mainly…

astro-ph.CO2015★ 39 cited

Planck Intermediate Results. XXXVI. Optical identification and redshifts of Planck SZ sources with telescopes in the Canary Islands Observatories

Planck Collaboration, P. A. R. Ade, N. Aghanim +187

We present the results of approximately three years of observations of Planck Sunyaev-Zeldovich (SZ) sources with telescopes at the Canary Islands observatories as part of the gene…

astro-ph.CO2015★ 56 cited

Planck intermediate results. XXXVII. Evidence of unbound gas from the kinetic Sunyaev-Zeldovich effect

Planck Collaboration, P. A. R. Ade, N. Aghanim +189

By looking at the kinetic Sunyaev-Zeldovich effect (kSZ) in Planck nominal mission data, we present a significant detection of baryons participating in large-scale bulk flows aroun…

astro-ph.CO2015

Bayesian model comparison in cosmology

Daniel J. Mortlock

The standard Bayesian model formalism comparison cannot be applied to most cosmological models as they lack well-motivated parameter priors. However, if the data-set being used is…