The Pursuit of primordial non-Gaussianity in the galaxy bispectrum and galaxy-galaxy, galaxy CMB weak lensing Donghui Jeong Texas Cosmology Center and.

Slides:



Advertisements
Similar presentations
Primordial perturbations and precision cosmology from the Cosmic Microwave Background Antony Lewis CITA, University of Toronto
Advertisements

Future 21cm surveys and non-Gaussianity Antony Lewis Institute of Astronomy, Cambridge work with Anthony Challinor & Richard Shaw.
CMB and cluster lensing Antony Lewis Institute of Astronomy, Cambridge Lewis & Challinor, Phys. Rept : astro-ph/
Planck 2013 results, implications for cosmology
Weak Lensing Tomography Sarah Bridle University College London.
Galaxy and Mass Power Spectra Shaun Cole ICC, University of Durham Main Contributors: Ariel Sanchez (Cordoba) Steve Wilkins (Cambridge) Imperial College.
Christian Wagner - September Potsdam Nonlinear Power Spectrum Emulator Christian Wagner in collaboration with Katrin Heitmann, Salman Habib,
Å rhus, 4 September 2007 Julien Lesgourgues (LAPTH, Annecy, France)
Constraints on primordial non- Gaussianity from LSS-CMB cross-correlations Yoshitaka Takeuchi (Nagoya Univ.) Collaboration with T.Matsubara and K.Ichiki.
Cosmology Zhaoming Ma July 25, The standard model - not the one you’re thinking  Smooth, expanding universe (big bang).  General relativity controls.
Measuring the local Universe with peculiar velocities of Type Ia Supernovae MPI, August 2006 Troels Haugbølle Institute for Physics.
Complementary Probes ofDark Energy Complementary Probes of Dark Energy Eric Linder Berkeley Lab.
Galaxy-Galaxy lensing
Modeling the 3-point correlation function Felipe Marin Department of Astronomy & Astrophysics University of Chicago arXiv: Felipe Marin Department.
Statistics of the Weak-lensing Convergence Field Sheng Wang Brookhaven National Laboratory Columbia University Collaborators: Zoltán Haiman, Morgan May,
Tahoe, Sep Calibrating Photometric Redshifts beyond Spectroscopic Limits Jeffrey Newman Lawrence Berkeley National Laboratory.
Weak Gravitational Lensing by Large-Scale Structure Alexandre Refregier (Cambridge) Collaborators: Richard Ellis (Caltech) David Bacon (Cambridge) Richard.
Galaxy-Galaxy Lensing What did we learn? What can we learn? Henk Hoekstra.
Weak Lensing 3 Tom Kitching. Introduction Scope of the lecture Power Spectra of weak lensing Statistics.
Trispectrum Estimator of Primordial Perturbation in Equilateral Type Non-Gaussian Models Keisuke Izumi (泉 圭介) Collaboration with Shuntaro Mizuno Kazuya.
The Science Case for the Dark Energy Survey James Annis For the DES Collaboration.
Cosmological Tests using Redshift Space Clustering in BOSS DR11 (Y. -S. Song, C. G. Sabiu, T. Okumura, M. Oh, E. V. Linder) following Cosmological Constraints.
Eric V. Linder (arXiv: v1). Contents I. Introduction II. Measuring time delay distances III. Optimizing Spectroscopic followup IV. Influence.
Polarization-assisted WMAP-NVSS Cross Correlation Collaborators: K-W Ng(IoP, AS) Ue-Li Pen (CITA) Guo Chin Liu (ASIAA)
Galaxy bias with Gaussian/non- Gaussian initial condition: a pedagogical introduction Donghui Jeong Texas Cosmology Center The University of Texas at Austin.
Eiichiro Komatsu University of Texas at Austin Non-Gaussianity From Inflation April 19, 2006 CMB High-z Clusters LSS Observational Constraints on Non-Gaussianity.
Cosmology with high (z>1) redshift galaxy surveys Donghui Jeong (Texas Cosmology Center and Dept of. Astronomy, UT Austin) Cosmology Seminar, University.
What can we learn from galaxy clustering? David Weinberg, Ohio State University Berlind & Weinberg 2002, ApJ, 575, 587 Zheng, Tinker, Weinberg, & Berlind.
Complementarity of weak lensing with other probes Lindsay King, Institute of Astronomy, Cambridge University UK.
Probing fundamental physics with CMB B-modes Cora Dvorkin IAS Harvard (Hubble fellow) Status and Future of Inflationary Theory workshop August 2014, KICP.
Constraints on Dark Energy from CMB Eiichiro Komatsu University of Texas at Austin Dark Energy February 27, 2006.
Constraining the Dark Side of the Universe J AIYUL Y OO D EPARTMENT OF A STRONOMY, T HE O HIO S TATE U NIVERSITY Berkeley Cosmology Group, U. C. Berkeley,
Intrinsic ellipticity correlation of luminous red galaxies and misalignment with their host dark matter halos The 8 th Sino – German workshop Teppei O.
Cosmological studies with Weak Lensing Peak statistics Zuhui Fan Dept. of Astronomy, Peking University.
Center for Cosmology and Astro-Particle Physics Great Lakes Cosmology Workshop VIII, June, 1-3, 2007 Probing Dark Energy with Cluster-Galaxy Weak Lensing.
Clustering in the Sloan Digital Sky Survey Bob Nichol (ICG, Portsmouth) Many SDSS Colleagues.
The formation of cosmic structures in non-Gaussian models Lauro Moscardini Dipartimento di Astronomia Università di Bologna, Italy
David Weinberg, Ohio State University Dept. of Astronomy and CCAPP The Cosmological Content of Galaxy Redshift Surveys or Why are FoMs all over the map?
Primordial non-Gaussianity from inflation
The Structure Formation Cookbook 1. Initial Conditions: A Theory for the Origin of Density Perturbations in the Early Universe Primordial Inflation: initial.
Cosmology with Gravitaional Lensing
Ignacy Sawicki Université de Genève Understanding Dark Energy.
Refining Photometric Redshift Distributions with Cross-Correlations Alexia Schulz Institute for Advanced Study Collaborators: Martin White.
Racah Institute of physics, Hebrew University (Jerusalem, Israel)
HST ACS data LSST: ~40 galaxies per sq.arcmin. LSST CD-1 Review SLAC, Menlo Park, CA November 1 - 3, LSST will achieve percent level statistical.
Cosmic shear and intrinsic alignments Rachel Mandelbaum April 2, 2007 Collaborators: Christopher Hirata (IAS), Mustapha Ishak (UT Dallas), Uros Seljak.
Zheng I N S T I T U T E for ADVANCED STUDY Cosmology and Structure Formation KIAS Sep. 21, 2006.
The Feasibility of Constraining Dark Energy Using LAMOST Redshift Survey L.Sun.
3rd International Workshop on Dark Matter, Dark Energy and Matter-Antimatter Asymmetry NTHU & NTU, Dec 27—31, 2012 Likelihood of the Matter Power Spectrum.
Donghui Jeong Texas Cosmology Center and Astronomy Department
Weak Lensing Alexandre Refregier (CEA/Saclay) Collaborators: Richard Massey (Cambridge), Tzu-Ching Chang (Columbia), David Bacon (Edinburgh), Jason Rhodes.
Eiichiro Komatsu University of Texas, Austin June 8, 2007 Estimators For Extracting (Primordial) Non-Gaussianity.
Probing Cosmology with Weak Lensing Effects Zuhui Fan Dept. of Astronomy, Peking University.
Cosmology. Where are we ? Cosmology CMB CMB P.Natoli 2009 Planck.
Gravitational Lensing
CMB, lensing, and non-Gaussianities
Feasibility of detecting dark energy using bispectrum Yipeng Jing Shanghai Astronomical Observatory Hong Guo and YPJ, in preparation.
Probing Dark Energy with Cosmological Observations Fan, Zuhui ( 范祖辉 ) Dept. of Astronomy Peking University.
Evolution of perturbations and cosmological constraints in decaying dark matter models with arbitrary decay mass products Shohei Aoyama Nagoya University.
Carlos Hernández-Monteagudo CE F CA 1 CENTRO DE ESTUDIOS DE FÍSICA DEL COSMOS DE ARAGÓN (CE F CA) J-PAS 10th Collaboration Meeting March 11th 2015 Cosmology.
Dominic Galliano Supervisors: Rob Crittenden & Kazuya Koyama UK Cosmo, Tuesday 13 September 2011.
Cheng Zhao Supervisor: Charling Tao
Non-linear Matter Bispectrum in General Relativity SG Biern Seoul National Univ. with Dr. Jeong and Dr. Gong. The Newtonian Cosmology is enough for matter.
Inh Jee University of Texas at Austin Eiichiro Komatsu & Karl Gebhardt
Sam Young University of Sussex arXiv: , SY, Christian Byrnes Texas Symposium, 16 th December 2015 CONDITIONS FOR THE FORMATION OF PRIMORDIAL BLACK.
Some bonus cosmological applications of BigBOSS ZHANG, Pengjie Shanghai Astronomical Observatory BigBOSS collaboration meeting, Paris, 2012 Refer to related.
Testing Primordial non-Gaussianities in CMB Anisotropies
Some issues in cluster cosmology
An Analytic Approach to Assess Galaxy Projection Along A Line of Sight
Intrinsic Alignment of Galaxies and Weak Lensing Cluster Surveys Zuhui Fan Dept. of Astronomy, Peking University.
Presentation transcript:

The Pursuit of primordial non-Gaussianity in the galaxy bispectrum and galaxy-galaxy, galaxy CMB weak lensing Donghui Jeong Texas Cosmology Center and Astronomy Department University of Texas at Austin The Almost Gaussian Universe, IPhT, CEA/Saclay, 11 June 2010

Bispectrum and non-Gaussianity Bispectrum is the Fourier space counter part of three point correlation function: CMB (z~1090) bispectrum is a traditional tool to test the non- Gaussianity, because it should vanish when density field is Gaussian. – The latest limit on f NL is (Komatsu et al. 2010) f NL = 32±21 (68% C.L.) – Predicted 68% C.L. range of Planck satellite is Δf NL ~ 5.

What about galaxy bispectrum? For the galaxy, there were previously three known sources for galaxy bispectrum (Sefusatti & Komatsu 2007, SK07) I. Matter bispectrum due to primordial non-Gaussianity II. Matter bispectrum due to non-linear gravitational evolution III. Non-linear galaxy bias I II III

Triangular configurations

Bispectrum of Gaussian Universe We can measure bias parameters from Equilateral and Folded triangles: Bispectrum from non-linear gravitational evolution Bispectrum from non-linear galaxy bias Jeong & Komatsu (2009)

Linearly evolved primordial bispectrum Notice the factor of k 2 in the denominator. Sharply peaks at the squeezed configuration! Jeong & Komatsu (2009)

New terms (Jeong & Komatsu, 2009) It turns out that SK07 misses the dominant terms which comes from the statistics of “peaks”. Jeong & Komatsu (2009) “Primordial non-Gaussianity, scale dependent bias, and the bispectrum of galaxies” We present non-Gaussian bispectrum terms from the peak statistics on large scales and on squeezed configurations from MLB (Matarrese-Lucchin-Bonometto) formula!

Bispectrum from P n P n = Probability of finding n galaxies P 2 (x) is given by the two-point correlation function P 3 (r, s, t) is given by the two, and three-point correlation functions B(k,k’) is the Fourier transform of ζ(r,s). All we need are P 1, P 2, and P 3 ! dV 1 dV 2 r s dV 3 t

MLB formula gives P 1, P 2, P 3 Matarrese, Lucchin & Bonometto (1986) –Galaxies reside in the density peaks! –By analytically integrating following functional integration, –We calculate P 1, P 2, and P 3 as a function of density poly-spectra: Threshold density

Non-Gaussian peak correlation terms The galaxy bispectrum also depends on trispectrum (four point function) of underlying mass distribution!! Jeong & Komatsu (2009)

Matter trispectrum I. T Φ For local type non-Gaussianity, Primordial trispectrum is given by For more general multi-field inflation, trispectrum is

Shape of T Φ terms Both of T Φ terms peak at squeezed configurations. f NL 2 term peaks more sharply than g NL term!!

Matter trispectrum II. T 1112 Trispectrum generated by non-linearly evolved primordial non-Gaussianity.

Shape of T 1112 terms T 1112 terms also peak at squeezed configurations. T 1112 terms peak almost as sharp as g NL term.

f NL terms : SK07 vs. JK09 SK07 Jeong & Komatsu (2009b)

Are new terms important? (z=0) Jeong & Komatsu (2009)

Even more important at high-z!! (z=3) Jeong & Komatsu (2009)

Prediction for galaxy surveys Predicted 1-sigma marginalized (bias) error of non-linearity parameter (f NL ) from the galaxy bispectrum alone Note that we do not include survey geometry and covariance. zV [Gpc/h] 3 n g [h/Mpc] 3 b1Δf NL (SK07) Δf NL (JK09) SDSS-LRG BOSS HETDEX CIP ADEPT EUCLID

Conclusion - bispectrum The galaxy bispectrum, especially in its squeezed limit, is a sensitive probe of the primordial non-Gaussianity. Also, it is safe from the contaminations from non-linear gravity and non-linear bias. With new terms induced by the peak correlation provide about a factor of 15 higher signal than the previous calculation, and the uncertainty on measuring f NL decrease about a factor of 10. But, this is a first step! (like Kaiser 1984 for the linear bias) Tension between MLB/peak-background split method BBKS-like calculation for non-Gaussian PDF may help? Need to compare to N-body simulations to guide the theory!

f NL from Weak gravitational lensing Picture from M. Takada (IPMU) Jeong, Komatsu, Jain (2009)

Mean tangential shear is given by It is often written as where, Σ c is the “critical surface density” Mean tangential shear G R

Mean tangential shear, status Mean tangential shear from SDSS Sheldon et al. (2009) What about larger scales?

f NL in mean tangential shear (LRG) Jeong, Komatsu, Jain (2009) Full sky survey with Million lens galaxies, and n s =30 arcmin -2

f NL in mean tangential shear (LSST) Jeong, Komatsu, Jain (2009) Statistics will accumulate as we include more lens redshits.

CMB anisotropy as a backlight Picture from Hu & Okamoto (2001) Unlensed Lensed

Galaxy-CMB lensing, z=0.3 Jeong, Komatsu, Jain (2009) Full sky, Million lens galaxies and “nearly perfect” CMB experiment

Galaxy-CMB lensing, z=0.8 Jeong, Komatsu, Jain (2009)

Cluster-CMB lensing, z=5 High-z population provide a better chance of finding f NL. Jeong, Komatsu, Jain (2009)

Conclusion – weak lensing Weak gravitational lensing can be yet another probe of primordial non-Gaussianity. In order to get a high signal-to-noise ratio from weak lensing method, we need to use high redshift lens galaxies.