David Richard Harvey
david.harvey@epfl.ch +41 21 693 37 87 https://www.epfl.ch/research/domains/astrophysics/home/research-groups/david-harvey/
Nationality: British
EPFL SB IPHYS LASTRO
Observatoire de Sauverny
1290 Versoix
+41 21 693 37 87
Office: BSP 314
EPFL › SB › IPHYS › LASTRO
Website: https://lastro.epfl.ch/
EPFL SB IPHYS LASTRO
SAUV 344 (Sauverny)
Ch. Pegasi 51
1290 Versoix
+41 21 693 37 87
Office: SAUV 344
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDPY-ENS
Expertise
Outside of my research I have worked for Terres des Hommes, TruthEngine, Prophy and Kaggle as machine learning consultants. I love to apply different statistical tools to different problems in science and society.
Selected publications
On the cross-section of dark matter using substructure infall into galaxy clusters
Harvey, David; Tittley, Eric; Massey, Richard; Kitching, Thomas D.; Taylor, Andy; Pike, Simon R.; Kay, Scott T.; Lau, Erwin T.; Nagai, Daisuke
Published in MNRAS, Volume 441, Issue 1, p.404-416 in
Origins of weak lensing systematics, and requirements on future instrumentation (or knowledge of instrumentation)
Massey, Richard; Hoekstra, Henk; Kitching, Thomas; Rhodes, Jason; Cropper, Mark; Amiaux, Jérôme; Harvey, David; Mellier, Yannick; Meneghetti, Massimo; Miller, Lance; Paulin-Henriksson, Stéphane; Pires, Sandrine; Scaramella, Roberto; Schrabback, Tim
Published in MNRAS, Volume 429, Issue 1, p.661-678 in
Dark matter astrometry: accuracy of subhalo positions for the measurement of self-interaction cross-sections
Harvey, David; Massey, Richard; Kitching, Thomas; Taylor, Andy; Jullo, Eric; Kneib, Jean-Paul; Tittley, Eric; Marshall, Philip J.
Published in MNRAS, Volume 433, Issue 2, p.1517-1528 in
Observing Dark Worlds: A crowdsourcing experiment for dark matter mapping
Harvey, D.; Kitching, T. D.; Noah-Vanhoucke, J.; Hamner, B.; Salimans, T.; Pires, A. M.
Published in Astronomy and Computing, Volume 5, p. 35-44. in
The nongravitational interactions of dark matter
The Galaxy Activity, Torus, and Outflow Survey (GATOS) VI. Black hole mass estimation using machine learning
ASTRONOMY & ASTROPHYSICS. 2025. DOI : 10.1051/0004-6361/202347566.Search for a massless dark photon in c → uγ' decays
PHYSICAL REVIEW D. 2025. DOI : 10.1103/PhysRevD.111.L011103.Sleptonic SUSY: from UV framework to IR phenomenology
Journal of High Energy Physics. 2022. DOI : 10.1007/JHEP09(2022)142.Search for dark matter produced in association with a Higgs boson decaying to a pair of bottom quarks in proton–proton collisions at $\sqrt{s}=13\,\text {Te}\text {V} $
The European Physical Journal C. 2019. DOI : 10.1140/epjc/s10052-019-6730-7.Search for new physics in events with a leptonically decaying Z boson and a large transverse momentum imbalance in proton–proton collisions at $\sqrt{s} $ = 13 $\,\text {TeV}$
The European Physical Journal C. 2018. DOI : 10.1140/epjc/s10052-018-5740-1.Search for dark matter and unparticles in events with a Z boson and missing transverse momentum in proton-proton collisions at $ \sqrt{s}=13 $ TeV
Journal of High Energy Physics. 2017. DOI : 10.1007/JHEP03(2017)061.Looking for dark matter trails in colliding galaxy clusters
Monthly Notices Of The Royal Astronomical Society. 2017. DOI : 10.1093/mnras/stw2671.The nongravitational interactions of dark matter in colliding galaxy clusters
Science. 2015. DOI : 10.1126/science.1261381.The behaviour of dark matter associated with four bright cluster galaxies in the 10 kpc core of Abell 3827
Monthly Notices Of The Royal Astronomical Society. 2015. DOI : 10.1093/mnras/stv467.Weyssenhoff fluid dynamics in general relativity using a 1 + 3 covariant approach
Classical and Quantum Gravity. 2007. DOI : 10.1088/0264-9381/24/24/011.The fate of the zero mode of the five-dimensional kink in the presence of gravity
JHEP. 2005. DOI : 10.1088/1126-6708/2005/09/062.Primordial constraint on the spatial dependence of the Newton constant
2004Cosmic microwave background constraints on the strong equivalence principle
Physical Review D [1970-2015]. 2004. DOI : 10.1103/PhysRevD.70.103528.First signs of particle dark matter?
The behaviour of dark matter associated with four bright cluster galaxies in the 10 kpc core of Abell 3827
Monthly Notices Of The Royal Astronomical Society. 2015. DOI : 10.1093/mnras/stv467.Systematic or signal?
Systematic or signal? How dark matter misalignments can bias strong lensing models of galaxy clusters
Monthly Notices Of The Royal Astronomical Society. 2016. DOI : 10.1093/mnras/stw295.Hubble Frontier Fields
Hubble Frontier Fields: the geometry and dynamics of the massive galaxy cluster merger MACSJ0416.1-2403
Monthly Notices Of The Royal Astronomical Society. 2015. DOI : 10.1093/mnras/stu2425.Weak lensing study
A weak lensing comparability study of galaxy mergers that host AGNs
Monthly Notices Of The Royal Astronomical Society. 2015. DOI : 10.1093/mnrasl/slv073.Teaching & PhD
PhD Students
Ethan Daniel Tregidga, Felix Francisco Vecchi
Courses
Lecture series on scientific machine learning
PHYS-754
This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the very scientific method.