University of Waterloo
200 University Avenue West
Waterloo, Ontario, Canada N2L 3G1
Phone: (519) 888-4567 ext 32215
Fax: (519) 746-8115
The main stairwell and office wing on both second and third floors of the Physics building will be closed until necessary repairs to the main stairwell are completed.
Administrative offices have been relocated to PHY 345.
Please do not cross any caution tapes whilst in the building.
Professor Percival's research interests focus on the properties of the Universe on the largest scales. Surveys of three-dimensional galaxy positions provide a wealth of data both on the physics just after the Big-Bang when the seed fluctuations that will grow through gravity to become galaxies were created, and on the physics driving the evolution of the Universe today.
Office: PHY 249
Phone: 519 888-4567 x33108
Large international teams are required to undertake galaxy surveys, and Professor Percival helps to run a number of experiments. In particular, he holds the position of Survey Scientist in the on-going extended-Baryon Oscillation Spectroscopic Survey (eBOSS, www.sdss.org/surveys/eboss), and is a primary science coordinator for the future satellite mission Euclid (http://sci.esa.int/euclid). He is also working on the Dark Energy Spectroscopic Instrument (DESI, http://desi.lbl.gov) and is involved in a number of other experiments and the use of their cosmological measurements.
W.J. Percival, (+26 co-authors), The 2dF Galaxy Redshift Survey: The power spectrum and the matter
content of the universe, 2001, MNRAS, 327, 1297 [arXiv:0105252]
S. Cole, W.J. Percival, (+27 co-authors), The 2dF Galaxy Redshift Survey: power spectrum, 2005,
MNRAS, 362, 505 [arXiv:0501174]
W.J. Percival, (+27 co-authors), Baryon Acoustic Oscillations in the Sloan Digital Sky Survey Data
Release 7 Galaxy Sample, 2010, MNRAS, 401, 2148 [arXiv:0907.1660]
K.S. Dawson, J.-P. Kneib,W.J. Percival, (+142 co-authors), The SDSS-IV extended Baryon Oscillation
Spectroscopic Survey: Overview and Early Data, 2016, AJ 151, 44 [arXiv:1508.04473]
D. Bianchi, W.J. Percival, Unbiased clustering estimation in the presence of missing observations,
2017, MNRAS 472, 1106 [arXiv:1703.02070]
1999 PhD University of Oxford, Oxford, UK