Pierre Zhang

Astronomy and Astrophysics · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 46 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Astronomy and Astrophysics — 138 citations into it; #6,282 of 10,964 by trust here, #5,779 by citations
• Nuclear and High Energy Physics — 56 citations into it
• Instrumentation — 42 citations into it; #2,346 of 3,502 by trust here, #2,397 by citations
• Statistical and Nonlinear Physics — 15 citations into it

Whom Pierre Zhang trusts overall

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

1. L. Senatore
2. M. Zaldarriaga
3. J. J. Carrasco
4. D. Blas
5. T. Baldauf
6. E. Pajer
7. Julien Lesgourgues
8. Mehrdad Mirbabayi
9. T. Brinckmann
10. Rafael A. Porto

Who trusts Pierre Zhang overall

1. Guido D'Amico
2. V. Poulin

Papers from Pierre Zhang's perspective

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

1. Large scale structure of the universe and cosmological perturbation theory
2. The Cosmological simulation code GADGET-2
3. Halo Models of Large Scale Structure
4. The 6dF Galaxy Survey: baryon acoustic oscillations and the local Hubble constant
5. Renormalized cosmological perturbation theory
6. Convolution Lagrangian perturbation theory for biased tracers
7. Inference from Iterative Simulation Using Multiple Sequences
8. On the renormalization of the effective field theory of large scale structures
9. The IR-resummed Effective Field Theory of Large Scale Structures
10. Cosmological parameters from CMB and other data: A Monte Carlo approach

Their papers

• Limits on wCDM from the EFTofLSS with the PyBird code (2020) — 141 citations
• The Hubble tension in light of the Full-Shape analysis of Large-Scale Structure data (2020) — 137 citations
• The cosmological analysis of the SDSS/BOSS data from the Effective Field Theory of Large-Scale Structure (2019) — 371 citations
• Efficient cosmological analysis of the SDSS/BOSS data from the Effective Field Theory of Large-Scale Structure (2019) — 154 citations