P
Patrick J. McDonald
Researcher at University of British Columbia
Publications - 121
Citations - 4231
Patrick J. McDonald is an academic researcher from University of British Columbia. The author has contributed to research in topics: Hydrocephalus & Medicine. The author has an hindex of 25, co-authored 108 publications receiving 3780 citations. Previous affiliations of Patrick J. McDonald include University of Toronto & University of Manitoba.
Papers
More filters
Journal ArticleDOI
Cosmological parameters from combining the Lyman-α forest with CMB, galaxy clustering and SN constraints
TL;DR: In this article, the Ly-? forest power spectrum (LYA) was combined with high resolution spectra with cosmic microwave background (CMB) including three-year WMAP, and supernovae (SN) and galaxy clustering constraints to derive new constraints on cosmological parameters.
Journal ArticleDOI
Clustering of dark matter tracers: generalizing bias for the coming era of precision LSS
Patrick J. McDonald,A. Roy +1 more
TL;DR: In this paper, the power spectrum and bispectrum up to 4th order in the initial density perturbations were modeled as a Taylor series in the local mass density, with the unknown coefficients in the series treated as free bias parameters.
Journal ArticleDOI
Can sterile neutrinos be the dark matter
TL;DR: The Ly-alpha forest power spectrum measured by the Sloan Digital Sky Survey and high-resolution spectroscopy observations are used in combination with cosmic microwave background and galaxy clustering constraints to place limits on a sterile neutrino as a dark matter candidate in the warm dark matter scenario.
Journal ArticleDOI
Baryon Acoustic Oscillation Intensity Mapping of Dark Energy
TL;DR: In this paper, the authors show how the study of acoustic oscillation in the 21 cm brightness can be accomplished by economical three-dimensional intensity mapping, which is the starting point for a new class of dark energy experiments dedicated to large angular scale mapping of the radio sky, shedding light on dark energy.
Journal ArticleDOI
How to evade the sample variance limit on measurements of redshift-space distortions
TL;DR: In this article, the authors used multiple tracers of large-scale density with different biases to measure the redshift-space distortion parameter β ≡ b −1f ≡ b−1d−ln D/d −ln a (where D is the growth factor and a the expansion factor).