Ofer Lahav

Ofer Lahav (Hebrew: עופר להב‎) FRAS FInstP 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.

Ofer Lahav

FRAS FInstP
Born (1959-04-05) 5 April 1959
Tiberias, Israel
CitizenshipDual Israeli-British
Awards
Scientific career
Fields
  • Observational Cosmology
  • Dark energy
  • Cosmological probes of Dark Matter and Dark Energy
  • Large spectroscopic and photometric redshift surveys
  • Neutrino Cosmology
  • Formation and evolution of galaxies
  • Statistical methods
InstitutionsUniversity College London
University of Cambridge
Ben-Gurion University
Tel Aviv University
ThesisAnisotropies in the Local Universe (1988)
Doctoral advisorGeorge Efstathiou
Donald Lynden-Bell
Other academic advisorsJacob Bekenstein
Notable studentsChris Lintott[1]
Websitewww.ucl.ac.uk/astrophysics/professor-ofer-lahav

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]

References
  1. Lintott, Christopher John (2006). Analyses of the early stages of star formation. discovery.ucl.ac.uk (PhD thesis). University College London. OCLC 926299378. EThOS uk.bl.ethos.722217.
  2. Lahav, Ofer (1988). Anisotropies in the local universe. lib.cam.ac.uk (PhD thesis). University of Cambridge. OCLC 557212691. EThOS uk.bl.ethos.279690.
  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. arXiv:1710.06748. Bibcode:2017ApJ...849L..34P. doi:10.3847/2041-8213/aa9660.
  4. Sadeh, I.; Feng, L.L.; Lahav, O. (2015). "Gravitational redshift in clusters from the SDSS and BOSS". Physical Review Letters. 114 (7): 071103. arXiv:1410.5262. doi:10.1103/PhysRevLett.114.071103. PMID 25763947.
  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. arXiv:0911.5291. Bibcode:2010PhRvL.105c1301T. doi:10.1103/PhysRevLett.105.031301. PMID 20867754.
  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. arXiv:astro-ph/0311058. Bibcode:2004PASP..116..345C. doi:10.1086/383254. JSTOR 383254.
  7. Dekel, A.; Lahav, O. (1999). "Stochastic Nonlinear Galaxy Biasing". The Astrophysical Journal. 520 (1): 24–34. arXiv:astro-ph/9806193. Bibcode:1999ApJ...520...24D. doi:10.1086/307428.
  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. Bibcode:1991MNRAS.251..128L. doi:10.1093/mnras/251.1.128.
  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. arXiv:1708.01530. Bibcode:2018PhRvD..98d3526A. doi:10.1103/PhysRevD.98.043526.
  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. arXiv:1601.00329. Bibcode:2016MNRAS.460.1270D. doi:10.1093/mnras/stw641.
  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. arXiv:astro-ph/0501174. Bibcode:2005MNRAS.362..505C. doi:10.1111/j.1365-2966.2005.09318.x.
  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. arXiv:astro-ph/0112162. Bibcode:2002MNRAS.333..961L. doi:10.1046/j.1365-8711.2002.05485.x.
  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. arXiv:astro-ph/9406009. Bibcode:1995MNRAS.272..885F. doi:10.1093/mnras/272.4.885.
  14. "UCL IRIS profile".
  15. Betts, Patrick. Astrophysics. p. 297.
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