ben hoyle

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Publications (64)

• Superclustering with the Atacama Cosmology Telescope and Dark Energy Survey. I. Evidence for Thermal Energy Anisotropy Using Oriented Stacking
  Astrophys.J. 2022 DOI: 10.3847/1538-4357/ac7043
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• Identifying RR Lyrae Variable Stars in Six Years of the Dark Energy Survey
  K. M. Stringer, A. Drlica-Wagner, L. Macri +66 more
  Astrophys.J. 2021 DOI: 10.3847/1538-4357/abe873
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• The Atacama Cosmology Telescope: A Catalog of >4000 Sunyaev–Zel’dovich Galaxy Clusters
  M. Hilton, C. Sifón, S. Naess +97 more
  Astrophys.J.Suppl. 2021 DOI: 10.3847/1538-4365/abd023
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• Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard-star Fields
  Zhefu Yu, Paul Martini, T. M. Davis +72 more
  Astrophys.J.Suppl. 2020 DOI: 10.3847/1538-4365/ab5e7a
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• Mass Calibration of Optically Selected DES clusters using a Measurement of CMB-Cluster Lensing with SPTpol Data
  S. Raghunathan, S. Patil, Eric J. Baxter +97 more
  Astrophys.J. 2019 DOI: 10.3847/1538-4357/ab01ca
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• Weak lensing magnification in the Dark Energy Survey Science Verification Data
  M. Garcia-Fernandez, Eusebio Sanchez, Ignacio Sevilla-Noarbe +68 more
  Mon.Not.Roy.Astron.Soc. 2018 DOI: 10.1093/mnras/sty282
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• Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology
  A. Drlica-Wagner, Ignacio Sevilla-Noarbe, Eli S Rykoff +86 more
  Astrophys.J.Suppl. 2018 DOI: 10.3847/1538-4365/aab4f5
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• Dark Energy Survey Year 1 Results: Curved-Sky Weak Lensing Mass Map
  Chihway Chang, Arnau Pujol, B Mawdsley +97 more
  Mon.Not.Roy.Astron.Soc. 2018 DOI: 10.1093/mnras/stx3363
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• redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data
  Eduardo Rozo, Eli S Rykoff, Alexandra Abate +84 more
  Mon.Not.Roy.Astron.Soc. 2016 DOI: 10.1093/mnras/stw1281
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• Stacking for machine learning redshifts applied to SDSS galaxies
  Mon.Not.Roy.Astron.Soc. 2016 DOI: 10.1093/mnras/stw1454
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• Measuring photometric redshifts using galaxy images and Deep Neural Networks
  Astron.Comput. 2016 DOI: 10.1016/j.ascom.2016.03.006
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• Tuning target selection algorithms to improve galaxy redshift estimates
  Mon.Not.Roy.Astron.Soc. 2016 DOI: 10.1093/mnras/stw563
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• The redMaPPer Galaxy Cluster Catalog From DES Science Verification Data
  Eli S Rykoff, Eduardo Rozo, Devon L. Hollowood +86 more
  Astrophys.J.Suppl. 2016 DOI: 10.3847/0067-0049/224/1/1
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• Galaxies in X-ray Selected Clusters and Groups in Dark Energy Survey Data I: Stellar Mass Growth of Bright Central Galaxies Since $z \sim$ 1.2
  Y. Zhang, C. J. Miller, Timothy A. McKay +80 more
  Astrophys.J. 2016 DOI: 10.3847/0004-637X/816/2/98
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• Anomaly detection for machine learning redshifts applied to SDSS galaxies
  Mon.Not.Roy.Astron.Soc. 2015 DOI: 10.1093/mnras/stv1551
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• Data augmentation for machine learning redshifts applied to Sloan Digital Sky Survey galaxies
  Mon.Not.Roy.Astron.Soc. 2015 DOI: 10.1093/mnras/stv599
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• Feature importance for machine learning redshifts applied to SDSS galaxies
  Mon.Not.Roy.Astron.Soc. 2015 DOI: 10.1093/mnras/stv373
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• Probing the bias of radio sources at high redshift
  Mon.Not.Roy.Astron.Soc. 2013 DOI: 10.1093/mnras/sts488
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• Combining clustering and abundances of galaxy clusters to test cosmology and primordial non-Gaussianity
  Mon.Not.Roy.Astron.Soc. 2013 DOI: 10.1093/mnras/stt1062
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• Galaxy And Mass Assembly (GAMA): Spectroscopic analysis
  Mon.Not.Roy.Astron.Soc. 2013 DOI: 10.1093/mnras/stt030
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