Sarah Bridle
- Cosmology and Gravitation Theories
- Galaxies: Formation, Evolution, Phenomena
- Astronomy and Astrophysical Research
- Agriculture Sustainability and Environmental Impact
- Dark Matter and Cosmic Phenomena
- Gamma-ray bursts and supernovae
- Astrophysics and Cosmic Phenomena
- Food Waste Reduction and Sustainability
- Stellar, planetary, and galactic studies
- Radio Astronomy Observations and Technology
- Adaptive optics and wavefront sensing
- Neutrino Physics Research
- Particle physics theoretical and experimental studies
- Geophysics and Gravity Measurements
- Nutritional Studies and Diet
- Environmental Education and Sustainability
- Consumer Attitudes and Food Labeling
- CCD and CMOS Imaging Sensors
- Relativity and Gravitational Theory
- History and Developments in Astronomy
- Agricultural risk and resilience
- Gaussian Processes and Bayesian Inference
- Advanced Mathematical Theories and Applications
- Global Public Health Policies and Epidemiology
- Computational Physics and Python Applications
SKA Observatory
1999-2024
University of York
2021-2024
University of Manchester
2014-2023
Environmental Research Institute
2020
Fermi National Accelerator Laboratory
2015
University College London
2010-2013
Cavendish Hospital
1984-2005
University of California, Irvine
2005
University of Cambridge
2002-2004
Institute of Astronomy
2003
We present a fast Markov chain Monte Carlo exploration of cosmological parameter space. perform joint analysis results from recent cosmic microwave background (CMB) experiments and provide constraints, including ${\ensuremath{\sigma}}_{8},$ the CMB independent other data. next combine data CMB, HST Key Project, 2dF galaxy redshift survey, supernovae type Ia big-bang nucleosynthesis. The method allows rapid investigation large number parameters, we 6 9 analyses flat models, an 11 non-flat...
We present cosmological results from a combined analysis of galaxy clustering and weak gravitational lensing, using 1321 deg$^2$ $griz$ imaging data the first year Dark Energy Survey (DES Y1). combine three two-point functions: (i) cosmic shear correlation function 26 million source galaxies in four redshift bins, (ii) angular autocorrelation 650,000 luminous red five (iii) galaxy-shear cross-correlation positions shears. To demonstrate robustness these results, we use independent pairs...
We present the first cosmology results from large-scale structure in Dark Energy Survey (DES) spanning 5000 deg$^2$. perform an analysis combining three two-point correlation functions (3$\times$2pt): (i) cosmic shear using 100 million source galaxies, (ii) galaxy clustering, and (iii) cross-correlation of with lens positions. The was designed to mitigate confirmation or observer bias; we describe specific changes made sample following unblinding results. model data within flat $\Lambda$CDM...
We present two galaxy shape catalogues from the Dark Energy Survey Year 1 data set, covering 1500 square degrees with a median redshift of $0.59$. The cover main fields: Stripe 82, and an area overlapping South Pole Telescope survey region. describe our analysis process in particular measurement using independent shear pipelines, METACALIBRATION IM3SHAPE. catalogue uses Gaussian model innovative internal calibration scheme, was applied to $riz$-bands, yielding 34.8M objects. IM3SHAPE...
We present the first constraints on cosmology from Dark Energy Survey (DES), using weak lensing measurements preliminary Science Verification (SV) data. use 139 square degrees of SV data, which is less than 3% full DES survey area. Using cosmic shear 2-point over three redshift bins we find ${\ensuremath{\sigma}}_{8}({\mathrm{\ensuremath{\Omega}}}_{\mathrm{m}}/0.3{)}^{0.5}=0.81\ifmmode\pm\else\textpm\fi{}0.06$ (68% confidence), after marginalizing 7 systematics parameters and 3 other...
We describe the Dark Energy Survey (DES) photometric data set assembled from first three years of science operations to support DES Year 3 cosmology analyses, and provide usage notes aimed at broad astrophysics community. Y3 Gold improves on previous releases DES, Y1 Data Release 1 (DES DR1), presenting an expanded curated that incorporates algorithmic developments in image detrending processing, calibration, object classification. comprises nearly 5000 square degrees grizY imaging south...
Determining the distribution of redshifts galaxies observed by wide-field photometric experiments like Dark Energy Survey is an essential component to mapping matter density field with gravitational lensing. In this work we describe methods used assign individual weak lensing source from Year 3 Weak Lensing Source Catalogue four tomographic bins and estimate redshift distributions in these bins. As first application data, validate that assumptions made apply DES Y3 develop a full treatment...
The authors use Dark Energy Survey data on galaxy clustering and lensing from the first three years of observations combined with five prominent external datasets. They robustly constrain six potential extensions to currently prevalent cosmological paradigm \ensuremath{\Lambda}CDM (Cold Matter a constant). All would add significant new physics, such as deviations General Relativity or non-zero spatial curvature, but no evidence for physics is found.
Societies must transform their dynamics to support the flourishing of life. There is increasing interest in regeneration and regenerative practice as a solution, but also limited cohered understanding what constitutes systems at social-ecological scales. In this perspective we present conceptual, cross-disciplinary, action-oriented framework, Regenerative Lens, informed by wide literature review. The framework emphasizes that maintain positive reinforcing cycles wellbeing within beyond...
Correlations between the intrinsic shapes of galaxies and large-scale galaxy density field provide an important tool to investigate alignments, which constitute a major astrophysical systematic in cosmological weak lensing (cosmic shear) surveys, but also yield insight into formation evolution galaxies. We measure position-shape correlations MegaZ-LRG sample for more than 800,000 luminous red galaxies, making first such measurement with photometric redshift sample. In combination re-analysis...
The recent announcement from the Wilkinson Microwave Anisotropy Probe (WMAP) satellite experiment combined with other advances in observational cosmology verifies key components of standard cosmological model. However, we argue that there remain some significant open issues regarding basic history and composition Universe uncertainties most important parameters.
We examine the level of agreement between low-redshift weak lensing data and cosmic microwave background using measurements from Canada–France–Hawaii Telescope Lensing Survey (CFHTLenS) Planck+Wilkinson Microwave Anisotropy Probe (WMAP) polarization. perform an independent analysis CFHTLenS six bin tomography results Heymans et al. extend their systematics treatment find cosmological constraints to be relatively robust choice non-linear modelling, extension intrinsic alignment model...
Shear peak statistics has gained a lot of attention recently as practical alternative to the two point for constraining cosmological parameters. We perform shear analysis Dark Energy Survey (DES) Science Verification (SV) data, using weak gravitational lensing measurements from 139 deg$^2$ field. measure abundance peaks identified in aperture mass maps, function their signal-to-noise ratio, range $0<\mathcal S / \mathcal N<4$. To predict counts parameters we use suite $N$-body simulations...
We present the first joint analysis of cluster abundances and auto or cross-correlations three cosmic tracer fields: galaxy density, weak gravitational lensing shear, density split by optical richness. From a (4×2pt+N) abundances, cross-correlations, correlations measured from year data Dark Energy Survey, we obtain Ωm=0.305+0.055−0.038 σ8=0.783+0.064−0.054. This result is consistent with constraints DES-Y1 clustering two-point correlation functions for flat νΛCDM model. Consequently,...
We investigate potential gains in cosmological constraints from the combination of galaxy clustering and galaxy-galaxy lensing by optimizing lens sample selection using information Dark Energy Survey (DES) Year 3 data assuming DES 1 metacalibration for sources. explore easily reproducible selections based on magnitude cuts $i$-band as a function (photometric) redshift, ${z}_{\mathrm{phot}}$, benchmark against those well-established redMaGiC [E. Rozo et al., Mon. Not. R. Astron. Soc. 461,...
We constrain f(nu) identical with Omega(nu)/Omega(m), the fractional contribution of neutrinos to total mass density in Universe, by comparing power spectrum fluctuations derived from 2 Degree Field Galaxy Redshift Survey spectra for models four components: baryons, cold dark matter, massive neutrinos, and a cosmological constant. Adding constraints independent probes we find f(nu)<0.13 (at 95% confidence) prior 0.1<Omega(m)<0.5, assuming scalar spectral index n=1. This translates an upper...
This paper provides a snapshot of the formal S 8 ≡ σ Ω m / 0.3 tension between Planck 2015 and Kilo Degree Survey of450 deg 2 imaging data (KiDS-450) or Canada France Hawaii Lensing (CFHTLenS). We find that Cosmic Microwave Bckground (CMB) cosmic shear datasets are in standard Λ Cold Dark Matter ( CDM) model, adding massive neutrinos does not relieve tension. If we include an additional scaling parameter on CMB lensing amplitude A l e n s , this can put agreement with data. is...
ABSTRACT Measurements of large-scale structure are interpreted using theoretical predictions for the matter distribution, including potential impacts baryonic physics. We constrain feedback strength baryons jointly with cosmology weak lensing and galaxy clustering observables (3 × 2pt) Dark Energy Survey (DES) Year 1 data in combination external information from baryon acoustic oscillations (BAO) Planck cosmic microwave background polarization. Our modelling is informed by a set...
In this paper, we discuss the use of natural language processing and artificial intelligence to analyze nutritional sustainability aspects recipes food. We present state-of-the-art some cases, followed by a discussion challenges. Our perspective on addressing these is that while they typically have technical nature, nevertheless require an interdisciplinary approach combining with expert domain knowledge create practical tools comprehensive analysis for food domain.
We use the small scales of Dark Energy Survey (DES) Year-3 cosmic shear measurements, which are excluded from DES cosmological analysis, to constrain baryonic feedback. To model feedback, we adopt a correction and numerical package \texttt{Baccoemu} accelerate evaluation nonlinear matter power spectrum. design our analysis pipeline focus on constraints suppression effects, utilizing implication given by principal component Fisher forecasts. Our constraint effects can then be used better...
We present results from the analysis of cosmic microwave background (CMB), large-scale structure (galaxy redshift survey) and X-ray galaxy cluster (baryon fraction luminosity function) data, assuming a geometrically flat cosmological model allowing for tensor components non-negligible neutrino mass. From combined all three degenerate species, we measure contribution neutrinos to energy density Universe, Ωνh2= 0.0059+0.0033−0.0027 (68 per cent confidence limits), with zero falling on 99...
Cosmological information from weak lensing surveys is maximised by dividing source galaxies into tomographic sub-samples for which the redshift distributions are estimated. Uncertainties on these must be correctly propagated cosmological results. We present hyperrank, a new method marginalising over distribution uncertainties in analyses, using discrete samples space of all possible distributions. This demonstrated contrast to previous highly simplified parametric models uncertainty. In...