S. Feeney
Astronomy and Astrophysics · 2015–2019
A researcher in the Science corpus: 12 papers; trusts 41 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Astronomy and Astrophysics — 678 citations into it; #4,731 of 10,964 by trust here, #2,215 by citations
- Nuclear and High Energy Physics — 428 citations into it
- Statistical and Nonlinear Physics — 54 citations into it
- Artificial Intelligence — 40 citations into it; #17,150 of 35,345 by trust here, #18,586 by citations
- Statistics and Probability — 24 citations into it; #6,241 of 12,932 by trust here, #6,310 by citations
- Probabilistic & Bayesian Methods — 15 citations into it; #953 of 1,525 by trust here, #1,075 by citations
- AI for Physical Sciences — 6 citations into it; #207 of 247 by trust here, #245 by citations
- Radiation — 6 citations into it
Whom S. Feeney trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Lewis
- A. Riess
- G. Efstathiou
- B. Kelly
- Lucas Macri
- F. V. Leeuwen
- M. Hicken
- Justin Alsing
- Radford M. Neal
- Sarah Bridle
Who trusts S. Feeney overall
- Justin Alsing
- Paul Shah
- S. Vagnozzi
- E. Mörtsell
- V. Poulin
- Benjamin Dan Wandelt
- P. Lemos
- S. Dhawan
- A. Riess
- George Papamakarios
Papers from S. Feeney's perspective
Ordered by how strongly the researchers S. Feeney trusts endorse each paper. Same corpus, a different order for every researcher.
- A 3% SOLUTION: DETERMINATION OF THE HUBBLE CONSTANT WITH THE HUBBLE SPACE TELESCOPE AND WIDE FIELD CAMERA 3
- CfA3: 185 TYPE Ia SUPERNOVA LIGHT CURVES FROM THE CfA
- A REDETERMINATION OF THE HUBBLE CONSTANT WITH THE HUBBLE SPACE TELESCOPE FROM A DIFFERENTIAL DISTANCE LADDER
- SALT2: using distant supernovae to improve the use of type Ia supernovae as distance indicators
- Cosmological parameters from CMB and other data: A Monte Carlo approach
- NINE-YEAR WILKINSON MICROWAVE ANISOTROPY PROBE (WMAP) OBSERVATIONS: FINAL MAPS AND RESULTS
- The Two Micron All Sky Survey (2MASS)
- The Supernova Legacy Survey 3-year sample: Type Ia supernovae photometric distances and cosmological constraints ,
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Improved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples
Their papers
- Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology (2018) — 155 citations
- Fast likelihood-free cosmology with neural density estimators and active learning (2019) — 214 citations
- The Simons Observatory (2019) — 342 citations
- PICO: Probe of Inflation and Cosmic Origins (2019) — 254 citations
- The Simons Observatory: science goals and forecasts (2018) — 1,430 citations
- Clarifying the Hubble constant tension with a Bayesian hierarchical model of the local distance ladder (2017) — 145 citations
- Exploring cosmic origins with CORE: Cosmological parameters (2016) — 163 citations
- Exploring cosmic origins with CORE: Inflation (2016) — 190 citations
- CMB-S4 Science Book, First Edition (2016) — 959 citations
- Planck 2015 results. I. Overview of products and scientific results (2015) — 2,116 citations
- The Polarbear-2 and the Simons Array Experiments (2015) — 165 citations
- Robust forecasts on fundamental physics from the foreground-obscured, gravitationally-lensed CMB polarization (2015) — 150 citations