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DTSTART:20220204T113000Z
DTEND:20220204T123000Z
DTSTAMP:20211208T064900Z
CREATED:20211208
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SUMMARY:Solving Reionization with Resolved Lyman-alpha
DESCRIPTION:\n Institute of Astronomy Galaxies Discussion Group ( http://talks.cam.ac.uk/show/index/31072 ) \n\n\n\nRohan Naidu (CfA)Friday 04 February 2022, 11:30-12:30via zoom .\n\n\n\nTo attend this talk, please contact Martin Haehnelt ( mailto: haehnelt@ast.cam.ac.uk )\n\n\n\nThe most pressing questions around Reionization—e.g., whether its protagonists were a handful of bright galaxies (the oligarchs”) or numerous ultra-faint sources (democratic reionization”)— hinge on the unknown ionizing photon escape fractions (LyC fesc) of star-forming galaxies. Efforts to understand the physics and statistics of LyC fesc have been stymied by our inability to construct pure samples of LyC leakers vs. non-leakers due to stochastic sightline effects. I will argue high-resolution Lyman-alpha (LyA) spectroscopy is the panacea to these issues. Using the X-SHOOTER LyA survey at z2 (XLSz2) I will present clean stacks of leakers vs. non-leakers that show dramatic differences across 1000-8000A—these differences clarify how/why ionizing photons escape and identify the features that can be studied at z>6 to constrain fesc (e.g., MgII, O32 , HeII). The leakers constitute half our survey, and have escape fractions 50%. Building on these results, I will present a LyA-based framework for the ionizing emissivity from z2-8 that both explains the puzzling flatness of the emissivity at z2-6 as well as rapid reionization between z6-8. I will end by previewing two Cycle 1 JWST programs I am leading—these programs examine ionized bubbles towards the beginning and end of reionization, and will produce some of the deepest grism pointings in Cycle 1 to enable a variety of z~1-9 science.\n
URL:http://talks.cam.ac.uk/talk/index/166012
ORGANIZER;CN=(KICC) The Kavli Institute for Cosmology at Cambridge University:MAILTO:
CATEGORIES:Astrophysics,Institute of Astronomy Galaxies Discussion Group
LOCATION:Virtual
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