4k citations · 4.2k across the 7 of their papers we have counts for
7 papers
Learning to Concentrate: Multi-tracer Forecasts on Local Primordial Non-Gaussianity with Machine-Learned Bias
James M Sullivan, Tijan Prijon, Uros Seljak
Local primordial non-Gaussianity (LPNG) is predicted by many non-minimal models of inflation, and creates a scale-dependent contribution to the power spectrum of large-scale struct…
The look-elsewhere effect from a unified Bayesian and frequentist perspective
Adrian E. Bayer, Uros Seljak
When searching over a large parameter space for anomalies such as events, peaks, objects, or particles, there is a large probability that spurious signals with seemingly high signi…
Cosmic Visions Dark Energy: Technology
Scott Dodelson, Katrin Heitmann, Chris Hirata +5
A strong instrumentation and detector R&D program has enabled the current generation of cosmic frontier surveys. A small investment in R&D will continue to pay dividends and enable…
Cosmic Visions Dark Energy: Science
Scott Dodelson, Katrin Heitmann, Chris Hirata +5
Cosmic surveys provide crucial information about high energy physics including strong evidence for dark energy, dark matter, and inflation. Ongoing and upcoming surveys will start…
Distribution function approach to redshift space distortions. Part IV: perturbation theory applied to dark matter
Zvonimir Vlah, Uroš Seljak, Patrick McDonald +2
We develop a perturbative approach to redshift space distortions (RSD) using the phase space distribution function approach and apply it to the dark matter redshift space power spe…
Cosmological parameters from SDSS and WMAP
M. Tegmark, M. Strauss, M. Blanton +34
We measure cosmological parameters using the three-dimensional power spectrum P(k) from over 200,000 galaxies in the Sloan Digital Sky Survey (SDSS) in combination with WMAP and ot…