Cosmological Particle Physics Tamara Davis University of Queensland With Signe Riemer-Sørensen, David Parkinson, Chris Blake, and the WiggleZ team.

Slides:



Advertisements
Similar presentations
Observing Dark Energy SDSS, DES, WFMOS teams. Understanding Dark Energy No compelling theory, must be observational driven We can make progress on questions:
Advertisements

Weighing Neutrinos including the Largest Photometric Galaxy Survey: MegaZ DR7 Moriond 2010Shaun Thomas: UCL “A combined constraint on the Neutrinos” Arxiv:
Cosmological Constraints from Baryonic Acoustic Oscillations
The Physics of Large Scale Structure and New Results from the Sloan Digital Sky Survey Beth Reid ICC Barcelona arXiv: arXiv: * Colloborators:
CMB: Sound Waves in the Early Universe Before recombination: Universe is ionized. Photons provide enormous pressure and restoring force. Photon-baryon.
Observational Cosmology - a laboratory for fundamental physics MPI-K, Heidelberg Marek Kowalski.
Suzanne Staggs (Princeton) Rencontres de Blois, 1 June 2011 The Atacama Cosmology Telescope (ACT): Still More Cosmology from the Cosmic Microwave Background.
Upper limits on neutrino masses from cosmology: new results Øystein Elgarøy (Institute of theoretical astrophysics, University of Oslo) Collaborator: Ofer.
Observational Cosmology - a unique laboratory for fundamental physics Marek Kowalski Physikalisches Institut Universität Bonn.
Å rhus, 4 September 2007 Julien Lesgourgues (LAPTH, Annecy, France)
Nikolaos Nikoloudakis Friday lunch talk 12/6/09 Supported by a Marie Curie Early Stage Training Fellowship.
Particle Physics and Cosmology Dark Matter. What is our universe made of ? quintessence ! fire, air, water, soil !
Complementary Probes ofDark Energy Complementary Probes of Dark Energy Eric Linder Berkeley Lab.
Dark Energy J. Frieman: Overview 30 A. Kim: Supernovae 30 B. Jain: Weak Lensing 30 M. White: Baryon Acoustic Oscillations 30 P5, SLAC, Feb. 22, 2008.
Probing dark matter clustering using the Lyman-  forest Pat McDonald (CITA) COSMO06, Sep. 28, 2006.
1 What is the Dark Energy? David Spergel Princeton University.
Neutrinos in Cosmology Alessandro Melchiorri Universita’ di Roma, “La Sapienza” INFN, Roma-1 NOW-2004, 16th September, 2004.
NEUTRINO PHYSICS AND COSMOLOGY STEEN HANNESTAD, Aarhus University BLOIS, 31 MAY 2012 e    
Signe Riemer-Sørensen, University of Queensland In collaboration with C. Blake (Swinburne), D. Parkinson (UQ), T. Davis (UQ) and the WiggleZ collaboration.
NEUTRINO MASS FROM LARGE SCALE STRUCTURE STEEN HANNESTAD CERN, 8 December 2008 e    
Inflationary Freedom and Cosmological Neutrino Constraints Roland de Putter JPL/Caltech CosKASI 4/16/2014.
30/6/09 Unity of the Universe 1. Michael Drinkwater for the team Australia: Blake, Brough, Colless, Couch, Croom, Davis, Glazebrook, Jelliffe, Jurek,
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.
Different physical properties contribute to the density and temperature perturbation growth. In addition to the mutual gravity of the dark matter and baryons,
July 5, 2012Stockholm, MG13 Testing gravity at cosmic scales with clusters of galaxies, the CMB and galaxy clustering David Rapetti DARK Fellow Dark Cosmology.
Robust cosmological constraints from SDSS-III/BOSS galaxy clustering Chia-Hsun Chuang (Albert) IFT- CSIC/UAM, Spain.
Relic Neutrinos, thermal axions and cosmology in early 2014 Elena Giusarma arXiv: Based on work in collaboration with: E. Di Valentino, M. Lattanzi,
Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)
Constraints on the neutrino mass by future precise CMB polarization and 21cm line observations Yoshihiko Oyama The Graduate University for Advanced Studies.
Constraints on Dark Energy from CMB Eiichiro Komatsu University of Texas at Austin Dark Energy February 27, 2006.
NEUTRINO COSMOLOGY STEEN HANNESTAD UNIVERSITY OF AARHUS LAUNCH WORKSHOP, 21 MARCH 2007 e    
Clustering in the Sloan Digital Sky Survey Bob Nichol (ICG, Portsmouth) Many SDSS Colleagues.
Dark Energy Probes with DES (focus on cosmology) Seokcheon Lee (KIAS) Feb Section : Survey Science III.
The Theory/Observation connection lecture 2 perturbations Will Percival The University of Portsmouth.
Francisco Javier Castander Serentill Institut d’Estudis Espacials de Catalunya (IEEC) Institut de Ciències de l’Espai (ICE/CSIC) Barcelona Exploiting the.
PHY306 1 Modern cosmology 4: The cosmic microwave background Expectations Experiments: from COBE to Planck  COBE  ground-based experiments  WMAP  Planck.
Yun Wang, 3/2011 Baryon Acoustic Oscillations and DE Figure of Merit Yun Wang Yun Wang WFIRST SDT #2, March 2011 WFIRST SDT #2, March 2011 BAO as a robust.
Constraining the Lattice Fluid Dark Energy from SNe Ia, BAO and OHD 报告人: 段效贤 中国科学院国家天文台 2012 年两岸粒子物理与宇宙学研讨会.
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?
MATTEO VIEL THE LYMAN-  FOREST AS A COSMOLOGICAL PROBE Contents and structures of the Universe – La Thuile (ITALY), 19 March 2006.
Michael Doran Institute for Theoretical Physics Universität Heidelberg Time Evolution of Dark Energy (if any …)
Mário Santos1 EoR / 21cm simulations 4 th SKADS Workshop, Lisbon, 2-3 October 2008 Epoch of Reionization / 21cm simulations Mário Santos CENTRA - IST.
Using Baryon Acoustic Oscillations to test Dark Energy Will Percival The University of Portsmouth (including work as part of 2dFGRS and SDSS collaborations)
BAOs SDSS, DES, WFMOS teams (Bob Nichol, ICG Portsmouth)
Anisotropic Clustering of Galaxies in High-z Universe as a Probe of Dark Energy Taka Matsubara (Nagoya Univ.) “Decrypting the Universe: Large Surveys for.
Cosmic shear and intrinsic alignments Rachel Mandelbaum April 2, 2007 Collaborators: Christopher Hirata (IAS), Mustapha Ishak (UT Dallas), Uros Seljak.
Will Percival The University of Portsmouth
Latest Results from LSS & BAO Observations Will Percival University of Portsmouth StSci Spring Symposium: A Decade of Dark Energy, May 7 th 2008.
1 Astroparticle Physics in Intergalactic Space Matteo Viel – INAF Trieste APP14 – Amsterdam, 24 th June 2014.
Cosmological aspects of neutrinos (III) Sergio Pastor (IFIC Valencia) JIGSAW 2007 TIFR Mumbai, February 2007 ν.
The Cosmic Microwave Background
1 1 Dark Energy with SNAP and other Next Generation Probes Eric Linder Berkeley Lab.
G. Mangano 1 Relic Neutrino Distribution Gianpiero Mangano INFN, Sezione di Napoli Italy.
Massive Neutrinos and Cosmology Ofer Lahav University College London * Brief history of ‘Hot Dark Matter’ * Limits on the total Neutrino mass from redshift.
Feasibility of detecting dark energy using bispectrum Yipeng Jing Shanghai Astronomical Observatory Hong Guo and YPJ, in preparation.
NEUTRINOS IN THE INTERGALACTIC MEDIUM Matteo Viel, Martin Haehnelt. Volker Springel: arXiv today Rencontres de Moriond – La Thuile 15/03/2010.
WG1 NuFact04, Osaka, July Neutrino mass and Cosmology: current bounds and future sensitivities Sergio Pastor (IFIC) ν.
Cheng Zhao Supervisor: Charling Tao
Neutrinos and Large-Scale Structure
Cosmological Structure with the Lyman Alpha Forest. Jordi Miralda Escudé ICREA, Institut de Ciències del Cosmos University of Barcelona, Catalonia Edinburgh,
BAO Damping and Reconstruction Cheng Zhao
Cosmological constraints on neutrino mass Francesco De Bernardis University of Rome “Sapienza” Incontro Nazionale Iniziative di Fisica Astroparticellare.
Summary Neta A. Bahcall Princeton University
The Dark Energy Survey Probe origin of Cosmic Acceleration:
The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey : cosmological analysis of the DR12 galaxy sample arXiv:
Cosmology With The Lyα Forest
Cosmology from Large Scale Structure Surveys
Accuracy of Cosmological N-body Simulations
The impact of non-linear evolution of the cosmological matter power spectrum on the measurement of neutrino masses ROE-JSPS workshop Edinburgh.
6-band Survey: ugrizy 320–1050 nm
Presentation transcript:

Cosmological Particle Physics Tamara Davis University of Queensland With Signe Riemer-Sørensen, David Parkinson, Chris Blake, and the WiggleZ team

Overview Measuring neutrinos with large scale structure The WiggleZ dark energy survey WiggleZ power spectrum Modeling non-linearities Neutrino mass constraints Number of relativistic species Also BOSS results

WiggleZ survey fields (and other Aussie surveys) 7 equatorial fields, each deg 2 >9° on side, ~3 x BAO scale at z > 0.5 Physical size ~ 1300 x 500 x 500 Mpc/h

WiggleZ results Baryon Acoustic Osc.Growth P(k), CosmoMC, data Homogeneity Turnover AP: H(z) Blake Blake Contreras Blake Scrimgeour Parkinson Poole

Baryon Acoustic Osc.Growth P(k), CosmoMC, dataHomogeneityTurnover AP: H(z) Marin Bispect, 3pt, topology 2D BAO Reconstruction

NEUTRINO MASS AND N EFF Riemer-Sørensen, Blake, Parkinson, Davis, et al ( ) Riemer-Sørensen, Parkinson, Davis, Blake 2013 ( ) Riemer-Sørensen, Parkinson, Davis 2013a,b ( , )

Upper-limit on neutrino mass Planck+BAO Σm ν < eV Planck+BAO+WiggleZ Σm ν < 0.15 eV = 40% improvement on Planck+BAO alone Allowed range for the sum of neutrino masses is now: 0.05 eV < Σm ν < 0.15 eV (lab oscillation expts) (cosmology, 95% confidence) Riemer-Sørensen, Parkinson, Davis 2013 Riemer-Sørensen, Parkinson, Davis Flat  CDM

How to constrain neutrino mass Heavy neutrinos = strong suppression over short range Light neutrinos = weak suppression over long range  WiggleZ range Non-linearities important Changes balance of radiation to dust  changes expansion rate vs time  changes horizon size at matter radiation equality

Use sims to make non-linear corrections Modeling

Details: Which tracers? Different bias. Massive highly biased galaxies at z = 0.2 WiggleZ galaxies at z = 0.2 WiggleZ galaxies at z = 0.6 Non-linearities less severe for WiggleZ WiggleZ has some advantages: High redshift Less biased than Luminous Red Galaxies (LRGs) However, harder to simulate

Neutrino effects – N eff Riemer-Sørensen et al

Existing measurements SDSS (Reid+ 10)  m  < 0.62eV Photo (Thomas+ 10, dePutter+ 12)  m  < 0.28eV Ly-  (Seljak+ 06)  m  < 0.17eV N eff = 4 N eff = 3 Total Mass: (e.g.) Number of relativistic species: Planck+WL+highL +BAO

WiggleZ power spec. (bars) Best fit  CDM models for k max =0.2 hMpc -1 (red solid) k max =0.3 hMpc -1 (blue solid) Linear CLASS models for the same parameters (dotted). The WiggleZ measurement (We actually fit 4 z-bins, 7 regions, simultaneously, so 28 power spectra.)

Contours for Planck+WiggleZ as a function of k max. Notice the agreement with Planck. Only k max =0.3 hMpc -1 deviates. We choose k max =0.2h Mpc -1 for the analysis. Details: How far to trust P(k) Riemer-Sørensen et al

Details: Wider parameter space Σm ν < 0.15eV (95% CL) for BAO+Planck+WiggleZ excluded by particle physics. Planck +Other BAO +HST +WiggleZ P(k) + Other BAO Riemer-Sørensen et al

Strongest upper-limit on neutrino mass Planck+BAO Σm ν < eV Planck+BAO+WiggleZ Σm ν < 0.15 eV = 40% improvement on Planck+BAO alone Allowed range for the sum of neutrino masses is now: 0.05 eV < Σm ν < 0.15 eV (lab oscillation expts) (cosmology, 95% confidence) Riemer-Sørensen, Parkinson, Davis 2013 Riemer-Sørensen et al

Planck +BOSS BAO +BOSS P(k) +SNe Ia New BOSS paper! Giusarma, de Putter, Ho, Mena 2013 Planck+BAO+BOSS Σm ν < 0.39 eV (  CDM) **NOT FLAT** Σm ν < 0.48 eV (wCDM)

Neutrino mass + number of species (N eff ) Planck+WP+highL : N eff = and Σm ν < 0.60 eV Planck+WP+highL+BAO : N eff = and Σm ν < 0.28 eV Planck+++WiggleZ : N eff = 3.72 ± 0.36 ± 0.71 and Σm ν < 0.27 eV Planck+++WiggleZ+BAO : N eff = 3.90 ± 0.34 ± 0.69 and Σm ν < 0.24 eV (95% limits)

Existing measurements N eff = 4 N eff = 3 Number of relativistic species: Planck+WL+highL +BAO +WiggleZ +WiggleZ+BAO Riemer-Sørensen et al

Summary Large scale structure can put limits on neutrino mass, & number of relativistic species. Those upper limits are getting close to the lower limits from particle physics experiments. Better modelling of non-linear structure formation is needed before we can be confident of the result, & before we can use more of the data. Riemer-Sørensen, Blake, Parkinson, Davis, et al ( ) Riemer-Sørensen, Parkinson, Davis, Blake 2013 ( ) Riemer-Sørensen, Parkinson, Davis 2013a,b ( , )