David L. Burke

Astronomy and Astrophysics · 2008–2024

A researcher in the Science corpus: 45 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Astronomy and Astrophysics — 1,732 citations into it
• Instrumentation — 883 citations into it
• Nuclear and High Energy Physics — 361 citations into it
• Statistical and Nonlinear Physics — 115 citations into it

Whom David L. Burke trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. A. Mantz
2. H. Hoekstra
3. H. Ebeling
4. S. Allen

Papers from David L. Burke's perspective

Ordered by how strongly the researchers David L. Burke trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Shear TEsting Programme 2: Factors affecting high precision weak lensing analyses
2. The Two Micron All Sky Survey (2MASS)
3. Evidence for non-hydrostatic gas from the cluster X-ray to lensing mass ratio
4. Maps of Dust Infrared Emission for Use in Estimation of Reddening and Cosmic Microwave Background Radiation Foregrounds
5. Accurate photometric redshifts for the CFHT legacy survey calibrated using the VIMOS VLT deep survey
6. A comparison of weak-lensing masses and X-ray properties of galaxy clusters
7. COSMOLOGICAL CONSTRAINTS FROM THE SLOAN DIGITAL SKY SURVEY MaxBCG CLUSTER CATALOG
8. How well can we determine cluster mass profiles from weak lensing
9. redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG
10. LoCuSS: Subaru Weak Lensing Study of 30 Galaxy Clusters

Their papers

• LSST: From Science Drivers to Reference Design and Anticipated Data Products (2008) — 2,988 citations
• LSST Science Book, Version 2.0 (2009) — 1,420 citations
• The Dark Energy Survey: Data Release 1 (2018) — 503 citations
• The Dark Energy Survey Data Release 2 (2021) — 176 citations
• Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology (2017) — 198 citations
• Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies (2017) — 135 citations
• Photometric redshift analysis in the Dark Energy Survey Science Verification data (2014) — 146 citations
• The Dark Energy Survey: Cosmology Results with ∼1500 New High-redshift Type Ia Supernovae Using the Full 5 yr Data Set (2024) — 400 citations
• Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty (2021) — 164 citations
• Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing (2021) — 411 citations
• Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration (2021) — 158 citations
• The Atacama Cosmology Telescope: A Catalog of >4000 Sunyaev–Zel’dovich Galaxy Clusters (2020) — 153 citations
• Milky Way Satellite Census. I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1 (2019) — 154 citations
• Milky Way Satellite Census. II. Galaxy–Halo Connection Constraints Including the Impact of the Large Magellanic Cloud (2019) — 136 citations
• Multi-messenger Observations of a Binary Neutron Star Merger (2019) — 3,158 citations
• STRIDES: a 3.9 per cent measurement of the Hubble constant from the strong lens system DES J0408−5354 (2019) — 164 citations
• The SPTpol Extended Cluster Survey (2019) — 134 citations
• Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters (2018) — 142 citations
• Cosmological Constraints from Galaxy Clustering and Weak Lensing (2018) — 865 citations
• First cosmological results using Type Ia supernovae from the Dark Energy Survey: measurement of the Hubble constant (2018) — 209 citations