SB
S. L. Bridle
astro-ph.COastro-phastro-ph.IMastro-ph.GAhep-phastro-ph.HEclimate changeGreenhouse Gasesstat.APAgriculture
On Valency
published · living versionsW_6gyhc5ze·v1 · currentpublished
Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
with DES Collaboration, T. M. C. Abbott, F. B. Abdalla, A. Alarcon +195
1 version
W_9vejdpfy·v1published
W_2tj8bmy3·v1published
Preprints & journals
135 papers in the corpus · 1998–2025Key action areas for transforming the UK food system: insights from the Transforming UK Food Systems (TUKFS) Programme project portfolio.40963348 · Bridle, Sarah, Parsons, Kelly, Poppy, Guy et al.2025 · 3 citationsPhilosophical transactions of the Royal Society of London. Series B, Biological sciences. 2025;380(1935):20240166
Constraints on cosmology and baryonic feedback with joint analysis of Dark Energy Survey Year 3 lensing data and ACT DR6 thermal Sunyaev-Zel'dovich effect observations2506.07432v1 · S. Pandey, J. C. Hill, A. Alarcon et al.2025 · 1 citationarXiv
Dark Energy Survey Year 3: Blue Shear2410.22272v1 · J. McCullough, A. Amon, E. Legnani et al.2024 · 11 citationsPhys. Rev. D, 113 (2026)
Weak lensing combined with the kinetic Sunyaev Zel'dovich effect: A study of baryonic feedback2404.06098v1 · L. Bigwood, A. Amon, A. Schneider et al.2024 · 70 citationsarXiv
Dark Energy Survey Year 3 Results: Constraints on extensions to CDM with weak lensing and galaxy clustering2207.05766v4 · T. M. C. Abbott, M. Aguena, A. Alarcon et al.2022 · 131 citationsarXiv
Constraining the Baryonic Feedback with Cosmic Shear Using the DES Year-3 Small-Scale Measurements2206.08591v1 · A. Chen, G. Arico, D. Huterer et al.2022 · 47 citationsarXiv
An Environmental and Nutritional Evaluation of School Food Menus in Bahia, Brazil That Contribute to Local Public Policy to Promote Sustainability.35406132 · Kluczkovski, Alana, Menezes, Camilla A, da Silva, Jacqueline Tereza et al.2022 · 23 citationsNutrients. 2022;14(7)
Transformations to regenerative food systems-An outline of the FixOurFood project.36045085 · Doherty, Bob, Bryant, Maria, Denby, Katherine et al.2022 · 25 citationsNutrition bulletin. 2022;47(1):106-114
Cosmic Shear in Harmonic Space from the Dark Energy Survey Year 1 Data: Compatibility with Configuration Space Results2111.07203v2 · H. Camacho, F. Andrade-Oliveira, A. Troja et al.2021 · 13 citationsMonthly Notices of the Royal Astronomical Society, Volume 516, Issue 4, November 2022, Page 5799
Greenhouse gas emissions, water footprint, and ecological footprint of food purchases according to their degree of processing in Brazilian metropolitan areas: a time-series study from 1987 to 2018.34774121 · da Silva, Jacqueline Tereza, Garzillo, Josefa Maria Fellegger, Rauber, Fernanda et al.2022 · 138 citationsThe Lancet. Planetary health. 2021;5(11):e775-e785
Dark Energy Survey Year 3 results: Marginalisation over redshift distribution uncertainties using ranking of discrete realisations2109.09636v2 · Juan P. Cordero, Ian Harrison, Richard P. Rollins et al.2021 · 34 citationsarXiv
SkyPy: A package for modelling the Universe2109.06172v1 · Adam Amara, Lucia F. de la Bella, Simon Birrer et al.2021 · 15 citationsarXiv
Dark Energy Survey Year 3 Results: Cosmology from Cosmic Shear and Robustness to Data Calibration2105.13543v2 · A. Amon, D. Gruen, M. A. Troxel et al.2021 · 434 citationsJan 2022; PhysRevD.105.023514
Dark Energy Survey Year 3 Results: Cosmology from Cosmic Shear and Robustness to Modeling Uncertainty2105.13544v2 · L. F. Secco, S. Samuroff, E. Krause et al.2021 · 386 citationsarXiv
Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing2105.13549v3 · T. M. C. Abbott, M. Aguena, A. Alarcon et al.2021 · 1,121 citationsarXiv
Probing gravity with the DES-CMASS sample and BOSS spectroscopy2104.14515v2 · S. Lee, E. M. Huff, A. Choi et al.2021 · 15 citationsarXiv
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Correlations.33891448 · To, C, Krause, E, Rozo, E et al.2021 · 103 citationsPhysical review letters. 2021;126(14):141301
Learning in lockdown: Using the COVID-19 crisis to teach children about food and climate change.33821147 · Kluczkovski, A, Lait, R, Martins, C A et al.2025 · 6 citationsNutrition bulletin. 2021;46(2):206-215
Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food.33733227 · van Erp, Marieke, Reynolds, Christian, Maynard, Diana et al.2024 · 68 citationsFrontiers in artificial intelligence. 2020;3:621577
The Dark Energy Survey Data Release 22101.05765v3 · T. M. C. Abbott, M. Adamow, M. Aguena et al.2021 · 325 citationsarXiv
Dark Energy Survey Year 3 Results: Redshift Calibration of the Weak Lensing Source Galaxies2012.08566v2 · J. Myles, A. Alarcon, A. Amon et al.2020 · 174 citationsarXiv
DES Y3 results: Blending shear and redshift biases in image simulations2012.08567v2 · N. MacCrann, M. R. Becker, J. McCullough et al.2020 · 123 citationsarXiv
Impacts of home cooking methods and appliances on the GHG emissions of food.37128063 · Frankowska, Angelina, Rivera, Ximena Schmidt, Bridle, Sarah et al.2023 · 64 citationsNature food. 2020;1(12):787-791
The unequal-time matter power spectrum: impact on weak lensing observables2011.06185v3 · Lucia F. de la Bella, Nicolas Tessore, Sarah Bridle2020 · 16 citationsarXiv
Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology2011.03407v2 · I.Sevilla-Noarbe, K.Bechtol, M.Carrasco Kind et al.2020 · 203 citationsThe Astrophysical Journal Supplement Series, Volume 254, Issue 2, id.24, 34 pp. (2021)
Dark Energy Survey Year 3 Results: Point-Spread Function Modeling2011.03409v2 · M. Jarvis, G. M. Bernstein, A. Amon et al.2020 · 84 citations2021MNRAS.501.1282J
Dark Energy Survey Year 3 Results: Optimizing the Lens Sample in Combined Galaxy Clustering and Galaxy-Galaxy Lensing Analysis2011.03411v3 · A. Porredon, M. Crocce, P. Fosalba et al.2020 · 73 citationsPhys. Rev. D 103, 043503 (2021)
DES Y1 results: Splitting growth and geometry to test CDM2010.05924v2 · J. Muir, E. Baxter, V. Miranda et al.2020 · 30 citationsPhys. Rev. D 103, 023528 (2021)
Dark Energy Survey Year 1 Results: Constraining Baryonic Physics in the Universe2007.15026v2 · Hung-Jin Huang, Tim Eifler, Rachel Mandelbaum et al.2020 · 47 citationsarXiv
Masses: Weak Lensing Calibration of the Dark Energy Survey Year 1 redMaPPer Clusters using Stellar Masses2006.10162v1 · M. E. S. Pereira, A. Palmese, T. N. Varga et al.2020 · 13 citationsarXiv
The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys2003.10454v2 · W. G. Hartley, C. Chang, S. Samani et al.2020 · 45 citationsarXiv
Detection of Cross-Correlation between Gravitational Lensing and γ Rays.32216401 · Ammazzalorso, S, Gruen, D, Regis, M et al.2020 · 27 citationsPhysical review letters. 2020;124(10):101102
Interacting with Members of the Public to Discuss the Impact of Food Choices on Climate Change-Experiences from Two UK Public Engagement Events.32499923 · Kluczkovski, Alana, Cook, Joanne, Downie, Helen F et al.2025 · 15 citationsSustainability. 2020;12(6):2323
Monte Carlo Control Loops for cosmic shear cosmology with DES Year 11906.01018v1 · T. Kacprzak, J. Herbel, A. Nicola et al.2019 · 26 citationsPhys. Rev. D 101, 082003 (2020)
Dark Energy Survey Year 1 Results: Wide field mass maps via forward fitting in harmonic space1905.12682v1 · B. Mawdsley, D. Bacon, C. Chang et al.2019 · 12 citationsarXiv
Cosmological Constraints from Multiple Probes in the Dark Energy Survey.31107093 · Abbott, T M C, Alarcon, A, Allam, S et al.2019 · 107 citationsPhysical review letters. 2019;122(17):171301
Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing1901.05005v2 · R. Buchs, C. Davis, D. Gruen et al.2019 · 105 citationsarXiv
The Buzzard Flock: Dark Energy Survey Synthetic Sky Catalogs1901.02401v1 · Joseph DeRose, Risa H. Wechsler, Matthew R. Becker et al.2019 · 10 citationsarXivon Valency
Dark Energy Survey Year 1 Results: Constraints on Intrinsic Alignments and their Colour Dependence from Galaxy Clustering and Weak Lensing1811.06989v2 · S. Samuroff, J. Blazek, M. A. Troxel et al.2018 · 94 citationsarXiv
Dark Energy Survey Year 1 Results: Constraints on Extended Cosmological Models from Galaxy Clustering and Weak Lensing1810.02499v2 · T. M. C. Abbott, F. B. Abdalla, S. Avila et al.2018 · 386 citationsPhys. Rev. D 99, 123505 (2019)
Dark Energy Survey Year 1 Results: Joint Analysis of Galaxy Clustering, Galaxy Lensing, and CMB Lensing Two-point Functions1810.02322v1 · T. M. C. Abbott, F. B. Abdalla, A. Alarcon et al.2018 · 59 citationsPhys. Rev. D 100, 023541 (2019)
Dark Energy Survey Year 1 Results: tomographic cross-correlations between DES galaxies and CMB lensing from SPT+Planck1810.02342v1 · Y. Omori, T. Giannantonio, A. Porredon et al.2018 · 52 citationsPhys. Rev. D 100, 043501 (2019)
Dark Energy Survey Year 1 Results: Cross-correlation between DES Y1 galaxy weak lensing and SPT+Planck CMB weak lensing1810.02441v1 · Y. Omori, E. Baxter, C. Chang et al.2018 · 30 citationsPhys. Rev. D 100, 043517 (2019)
Dark Energy Survey Year 1 Results: Measurement of the Galaxy Angular Power Spectrum1807.10163v1 · H. Camacho, N. Kokron, F. Andrade-Oliveira et al.2018 · 35 citationsarXiv
Moment-Based Ellipticity Measurement as a Statistical Parameter Estimation Problem1807.06116v2 · Nicolas Tessore, Sarah Bridle2018 · 3 citationsNew Astron. 69 (2019) 58-68
Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters1805.00039v2 · T. McClintock, T. N. Varga, D. Gruen et al.2018 · 237 citationsarXiv
Weak Lensing Analysis of SPT selected Galaxy Clusters using Dark Energy Survey Science Verification Data1802.04533v2 · C. Stern, J. P. Dietrich, S. Bocquet et al.2018 · 31 citationsarXiv
A gravitational-wave standard siren measurement of the Hubble constant1710.05835v1 · B. P. Abbott, R. Abbott, T. D. Abbott et al.2017 · 1,199 citationsarXiv
Galaxies in X-ray Selected Clusters and Groups in Dark Energy Survey Data II: Hierarchical Bayesian Modeling of the Red-Sequence Galaxy Luminosity Function1710.05908v2 · Y. Zhang, C. J. Miller, P. Rooney et al.2017 · 1 citationarXiv
Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data1710.05045v2 · D. Gruen, O. Friedrich, E. Krause et al.2017 · 120 citationsPhys. Rev. D 98, 023507 (2018)
Career total: 273 works. 135 are in this corpus.Showing the 50 most recent.
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