David Richard Harvey
david.harvey@epfl.ch +41 21 693 37 87 http://davidrichardharvey.weebly.com/
Date de naissance: 21.03.1986
EPFL SB IPHYS LASTRO
Observatoire de Sauverny
1290 Versoix
Web site: Site web: https://lastro.epfl.ch/
Domaines de compétences
Cosmology
Dark Matter
Galaxy Clusters
Strong Gravitational Lensing
Weak Gravitational Lensing
Biography
I am an observational and theoretical astrophysicist at EPFL. My main area of research is dark matter and trying to understand its properties and dynamics. My undergraduate degree at the University of Sheffield consisted of two years of a business man- agement degree, and a three year physics and astrophysics degree whereby I finished top of my class and earned the Hicks prize for best achieving student. My success at undergraduate level led me to embark on a PhD at the University of Edinburgh, where my thesis entitled “Measuring the self-interaction cross-section of dark matter with astronomical particle colliders” earned runner up in the best astronomy and astrophysics thesis in the UK award, 2014. This prestigious award recognised the theoretical and observational work that I carried out during my PhD. It also led me to publish in total four papers of which three I am first author. These papers investigated a variety of topics including, systematics in weak lensing, theoretical frameworks of dark matter, citizen science and machine learning techniques to find galaxy clusters leading me to become an expert in dark matter and gravitational lensing. Since completing my PhD I have taken up a post-doctoral position at EPFL where I have led different projects across extragalactic science. In my first year I wrote my paper, “The nongravitational interactions of dark matter in colliding galaxy clusters.”, which was published in Science last year and received international attention, appearing on the front page of many UK, French, Swiss and US newspapers, and the BBC, NASA and ESA websites. Moreover I have collaborated with many different professors in the department including Dr. Frederic Courbin and Dr. Jean-Paul Kneib to publish two separate papers as first author, demonstrating how flexible I am at working with different academics. Moreover, I published in collaboration with others around the world work on potentially the first signs of interacting dark matter in the cluster A3827, and I developed the weak lensing pipeline that it is used in many of the Hubble Frontier Fields models. My contribution since arriving at EPFL has also led to development of younger academics within the department. Firstly, I have led three different students projects, including two masters students and a PhD based on finding and understanding the fields around strong gravitational lenses. Secondly, I have designed, developed and delivered a course for students on how to give scientific presentations. This aims to develop students confidence and ability to present complex scientific problems to a broad range of audiences. This scheme was a huge a success and I will continue to run it.Publications
Publications Infoscience
The nongravitational interactions of dark matter
The nongravitational interactions of dark matter in colliding galaxy clusters
Science. 2015. DOI : 10.1126/science.1261381.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.Sélection de publications
Harvey, David; Tittley, Eric; Massey, Richard; Kitching, Thomas D.; Taylor, Andy; Pike, Simon R.; Kay, Scott T.; Lau, Erwin T.; Nagai, Daisuke MNRAS, Volume 441, Issue 1, p.404-416 |
On the cross-section of dark matter using substructure infall into galaxy clusters |
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 MNRAS, Volume 429, Issue 1, p.661-678 |
Origins of weak lensing systematics, and requirements on future instrumentation (or knowledge of instrumentation) |
Harvey, David; Massey, Richard; Kitching, Thomas; Taylor, Andy; Jullo, Eric; Kneib, Jean-Paul; Tittley, Eric; Marshall, Philip J. MNRAS, Volume 433, Issue 2, p.1517-1528 |
Dark matter astrometry: accuracy of subhalo positions for the measurement of self-interaction cross-sections |
Harvey, D.; Kitching, T. D.; Noah-Vanhoucke, J.; Hamner, B.; Salimans, T.; Pires, A. M. Astronomy and Computing, Volume 5, p. 35-44. |
Observing Dark Worlds: A crowdsourcing experiment for dark matter mapping |
Enseignement & Phd
Cours
Lecture series on scientific machine learning
Ce cours présente des travaux sur la façon dont les questions scientifiques peuvent être abordées à l'aide de l'apprentissage automatique. L'apprentissage automatique permet d'extraire des connaissances à partir de données de manière automatisée. Nous apprendrons à partir d'exemples concrets.