'Cosmic variance' diaporamas de présentation

Formazione ed evoluzione delle galassie Scuola Normale Superiore

1.06k views • 89 slides

Semi-analytics and mock catalogues as tools to observe ideas

Semi-analytics and mock catalogues as tools to observe ideas. Semi-analytic modelling of galaxy formation The long way from first principles to the distribution of galaxy properties. II. Mocking the Universe Construction, limitations and examples of mock catalogues.

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The Growth of Galaxies: Ways Forward toward a More Robust Understanding at High Redshift

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Galactic Matter and Dark Matter

Galactic Matter and Dark Matter. Ramanath Cowsik and Benjamin Burch Physics Department McDonnell Center for the Space Sciences Washinton University in St. Louis, USA 63130 WHEPP XII: Mahabaleshwar , India January 4-5 Thanks to Professor Sreerup Raychaudhuri & Professor Utpal Sarkar.

614 views • 45 slides

The Chandra Multi-wavelength Project (ChaMP)

The Chandra Multi-wavelength Project (ChaMP). PIs: Paul Green & Belinda Wilkes X-ray: Dong-Woo Kim Imaging: Rob Cameron, Wayne Barkhouse Spectroscopy: John Silverman and the ChaMP Collaboration. Serendipitous X-ray Survey using Chandra Archival Data. Principal Motivations.

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Wide-Field HI Galaxy Surveys

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Some issues in cluster cosmology

Some issues in cluster cosmology. Tim McKay University of Michigan Department of Physics. An outline. Cluster counting in theory Cluster counting in practice General considerations Optical cluster selection Weak lensing cluster surveys Imagining the future.

335 views • 33 slides

Cosmology with ACT

Cosmology with ACT. Mark Halpern, UBC. Photo of the Atacama Cosmology Telescope by Michele Limon. A tacama C osmology T elescope. A program designed to measure the high- l features of the CMB.

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Abstract

Abstract.

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Cosmic Variance and Luminosity Function Fitting

Cosmic Variance and Luminosity Function Fitting. Michele Trenti. August 8, 2007. In collaboration with Massimo Stiavelli and the UDF05 team. Outline. Large scale structure and galaxy number counts Cosmic variance and luminosity function fitting: Number counts uncertainty

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CMB observations and results

CMB observations and results. Dmitry Pogosyan University of Alberta. Lecture 1: What can Cosmic Microwave Background tell us about the Universe ? A theoretical introduction . Lecture 2: Recent successes in the mapping of CMB anisotropy: what pre-WMAP and WMAP data reveals.

363 views • 26 slides

Masashi Hazumi Institute of Particle and Nuclear Studies

LiteBIRD A Small Satellite for the Studies of B -mode Polarization and I nflation from Cosmic Background R adiation D etection. Masashi Hazumi Institute of Particle and Nuclear Studies High Energy Research Accelerator Organization (KEK) Tsukuba, Japan

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FastSound A BAO Survey in NIR using Subaru/FMOS

FastSound A BAO Survey in NIR using Subaru/FMOS. ?? ?? TOTANI, Tomonori (Kyoto University, Dept. Astronomy) Decrypting the Universe Large Surveys for Cosmology Royal Observatory of Edinburgh, UK, 2007, Oct 24-26. KYOTO FMOS. Subaru/FMOS. F iber- M ulti- O bject S pectrograph NIR

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Deep Surveys with the VLA: The CDFS and UDF

Deep Surveys with the VLA: The CDFS and UDF. K.I. Kellermann, E.B. Fomalont (NRAO), E. Richards, J. Kelly (NRAO & UVa), Neal Miller, NRAO and Johns Hopkins R. Windhorst (Arizona) B.Partridge (Haverford) P. Shaver, P. Padovani, P. Rosati (ESO), P. Tozzi (INAF), V. Mainieri (MPE).

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Supermassive Black Hole Growth from Cosmological N-body Simulations

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Ludovic Van Waerbeke Department of Physics and Astronomy University of British Columbia

A (very short) introduction to E/B modes Measurement and high order statistics. Ludovic Van Waerbeke Department of Physics and Astronomy University of British Columbia. Cosmic Shear two-points Statistics and mass Power Spectrum. Top-hat shear variance at scale Q c :.

213 views • 11 slides