Ofer Lahav Explained

Ofer Lahav
Birth Date:1959 4, df=yes
Birth Place:Tiberias, Israel
Citizenship:Dual Israeli-British
Workplaces:University College London
University of Cambridge
Ben-Gurion University
Tel Aviv University
Thesis Title:Anisotropies in the Local Universe
Thesis Url:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279690
Thesis Year:1988
Doctoral Advisor:George Efstathiou
Donald Lynden-Bell
Academic Advisors:Jacob Bekenstein
Notable Students:Chris Lintott[1]

Ofer Lahav (Hebrew: עופר להב) is Perren Chair of Astronomy at University College London (UCL), Vice-Dean (International) of the UCL Faculty of Mathematical and Physical Sciences (MAPS) and Co-Director of the STFC Centre for Doctoral Training in Data Intensive Science.His research area is Observational Cosmology, in particular probing Dark Matter and Dark Energy. His work involves Machine Learning for Big Data.

Lahav served as the UCL Head of Astrophysics (2004–2011), Vice-Dean (Research) of UCL's Faculty of Mathematical and Physical Sciences (2011–2015), and as Vice-President of the Royal Astronomical Society (2010–2012). He is one of the founders of the Dark Energy Survey (DES), and he co-chaired the international DES Science Committee from inception until 2016. He chairs both the DES:UK and DESI:UK consortia, as well as the DES Advisory Board. He previously served as a member of the STFC Science Board (2016–2019). From 2012 to 2018, Lahav held a European Research Council (ERC) Advanced Grant on "Testing the Dark Energy Paradigm" (TESTDE programme).

Education

Lahav studied Physics at Tel-Aviv University (BSc, 1980), Physics at Ben-Gurion University (MSc, 1985) and earned his Ph.D. (1988) in Astronomy[2] from the University of Cambridge, where he was later a Member of Staff at the Institute of Astronomy (1990–2003) and a Fellow of St Catharine's College, Cambridge.

Research

Lahav's research is focused on cosmological probes of Dark Matter and Dark Energy,[3] [4] [5] [6] [7] [8] in particular large galaxy surveys.[9] [10] [11] [12] [13] Lahav has co-authored over 400[14] research articles in peer reviewed scientific journals, including 10 invited review articles and book chapters. Lahav is a Thomson ISI highly cited author,[15] h-factor 83. His past doctoral students include Chris Lintott.[1]

Notes and References

  1. PhD. University College London. Analyses of the early stages of star formation. Lintott, Christopher John. 2006. . discovery.ucl.ac.uk. 926299378.
  2. PhD. University of Cambridge. Anisotropies in the local universe. Ofer. Lahav. 1988. . lib.cam.ac.uk. 557212691.
  3. Palmese. A. Hartley, W.. Tarsitano, F.. Conselice, C.. Lahav, O.. DES Collaboration. 2017. Evidence for Dynamically Driven Formation of the GW170817 Neutron Star Binary in NGC 4994. The Astrophysical Journal Letters. 849. 2. L34. 1710.06748. 10.3847/2041-8213/aa9660. 2017ApJ...849L..34P. 55049352. free.
  4. Sadeh, I.. Feng, L.L.. Lahav, O.. 2015. Gravitational redshift in clusters from the SDSS and BOSS. Physical Review Letters. 114. 7. 071103. 1410.5262. 10.1103/PhysRevLett.114.071103. 25763947. 32285033.
  5. Thomas. S.A.. Abdalla. F.B.. Lahav. O. 2010. Upper Bound of 0.28eV on the Neutrino Masses from the Largest Photometric Redshift Survey. Physical Review Letters. 115. 3. 031301. 0911.5291. 10.1103/PhysRevLett.105.031301. 20867754. 2010PhRvL.105c1301T. 23349570.
  6. Collister, A.. Lahav, O.. 2004. ANNz: estimating photometric redshifts using artificial neural networks. Publications of the Astronomical Society of the Pacific. 116. 818. 345–351. astro-ph/0311058. 10.1086/383254. 2004PASP..116..345C. 383254. 119089041.
  7. Dekel, A.. Lahav, O.. 1999. Stochastic Nonlinear Galaxy Biasing. The Astrophysical Journal. 520. 1. 24–34. astro-ph/9806193. 10.1086/307428. 1999ApJ...520...24D. 17847281.
  8. Lahav, O.. Lilje, P.B.. Primack, J.R.. Rees, M.R.. 1991. Dynamical effects of the cosmological constant. Monthly Notices of the Royal Astronomical Society. 251. 128–136. 10.1093/mnras/251.1.128. 1991MNRAS.251..128L. free.
  9. The DES Collaboration. 2018. Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing. Physical Review D. 98. 4. 043526. 1708.01530. 10.1103/PhysRevD.98.043526. 2018PhRvD..98d3526A. 52219057.
  10. The DES Collaboration. 2016. The Dark Energy Survey: more than Dark Energy – an overview. Monthly Notices of the Royal Astronomical Society. 460. 2. 1270–1299. 1601.00329. 10.1093/mnras/stw641. free . 2016MNRAS.460.1270D. 35694898.
  11. Cole, S.. 2dFGRS Team (incl OL). 2005. The 2dF Galaxy Redshift Survey: power spectrum analysis of the final data set and cosmological implications. Monthly Notices of the Royal Astronomical Society. 362. 2. 505–534. astro-ph/0501174. 10.1111/j.1365-2966.2005.09318.x. free . 2005MNRAS.362..505C. 6906627.
  12. Lahav, O.. 2dFGRS team. 2002. The 2dF Galaxy Redshift Survey: the amplitudes of fluctuations in the 2dFGRS and the CMB, and implications for galaxy biasing. Monthly Notices of the Royal Astronomical Society. 333. 4. 961–968. astro-ph/0112162. 10.1046/j.1365-8711.2002.05485.x. free . 2002MNRAS.333..961L. 53955136.
  13. Fisher, K.B.. Lahav, O.. Hoffman, Y.. Lynden-Bell, D.. Zaroubi, S.. 1995. Wiener reconstruction of density, velocity, and potential fields from all-sky galaxy redshift surveys. Monthly Notices of the Royal Astronomical Society. 272. 4. 885–908. 1995MNRAS.272..885F. astro-ph/9406009. 10.1093/mnras/272.4.885. free . 15044916.
  14. Web site: UCL IRIS profile.
  15. Book: Betts, Patrick. Astrophysics. 297.

This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Ofer Lahav".

Except where otherwise indicated, Everything.Explained.Today is © Copyright 2009-2024, A B Cryer, All Rights Reserved. Cookie policy.