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<span style="font-kerning: none">Dear All,</span></p>
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<span style="font-kerning: none">This is a reminder for our next C&G seminar TODAY at 13:15 in room number A5:1041.</span></p>
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<span style="font-kerning: none">Natalia Porqueres from the Max Planck Institute for Astrophysics in Munich will give a seminar on the following topic:</span></p>
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<span style="font-kerning: none">Title: Inferring high-redshift large-scale structure dynamics from the Lyman-alpha forest</span></p>
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<span style="font-kerning: none">Abstract:</span></p>
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<span style="font-kerning: none">Galaxy redshift surveys allow probing the cosmic large-scale structure of the Universe with high accuracy. Their statistical analyses have provided precise measurements of the cosmological parameters and the matter power spectrum.
However, galaxy surveys are limited in redshift. How can the study of the large-scale structure be extended to the high-redshift Universe? The Lyman-alpha forest in the quasar spectra provides an alternative probe of the large-scale structure that allows us
to go beyond the redshift of galaxy surveys (z > 2). We present a Bayesian framework to infer the three-dimensional large-scale density field and its dynamics at high-redshift from the Lyman-á forest. Our analysis allows the exploration of the initial conditions
by evolving the density field to z = 2.5 with a physical model, in this case, Lagrangian perturbation theory. This dynamical model allows to naturally infer the velocity field, providing possible formation histories and revealing the large-scale dynamics at
high-redshift. We tested and validated our method with mock Ly-á data from the COSMOS Lyman-Alpha Mapping And Tomography Observations (CLAMATO) survey, showing that our method accurately recovers the underlying density field and allows the study of the cosmic
web at high-redshift.</span></p>
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<span style="font-kerning: none">Date: September 26, Wednesday</span></p>
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<span style="font-kerning: none">Time: 13:15</span></p>
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<span style="font-kerning: none">Place: A5:1041</span></p>
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<span style="font-kerning: none">Cheers,</span></p>
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<span style="font-kerning: none">Jens & Raghu</span></p>
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