Ben Wandelt Flatiron Institute

Slides:



Advertisements
Similar presentations
Weighing Neutrinos including the Largest Photometric Galaxy Survey: MegaZ DR7 Moriond 2010Shaun Thomas: UCL “A combined constraint on the Neutrinos” Arxiv:
Advertisements

Combined Energy Spectra of Flux and Anisotropy Identifying Anisotropic Source Populations of Gamma-rays or Neutrinos Sheldon Campbell The Ohio State University.
What Figure of Merit Should We Use to Evaluate Dark Energy Projects? Yun Wang Yun Wang STScI Dark Energy Symposium STScI Dark Energy Symposium May 6, 2008.
Non-linear matter power spectrum to 1% accuracy between dynamical dark energy models Matt Francis University of Sydney Geraint Lewis (University of Sydney)
Christian Wagner - September Potsdam Nonlinear Power Spectrum Emulator Christian Wagner in collaboration with Katrin Heitmann, Salman Habib,
Cosmology Equipped with his five senses, man explores the universe around him, and calls the adventure "science". -- Edwin Powell Hubble.
L. Perivolaropoulos Department of Physics University of Ioannina Open page.
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.
Impact of Early Dark Energy on non-linear structure formation Margherita Grossi MPA, Garching Volker Springel Advisor : Volker Springel 3rd Biennial Leopoldina.
Polarization-assisted WMAP-NVSS Cross Correlation Collaborators: K-W Ng(IoP, AS) Ue-Li Pen (CITA) Guo Chin Liu (ASIAA)
1 Edmund Bertschinger MIT Department of Physics and Kavli Institute for Astrophysics and Space Research Testing Gravity on Large Scales Dekel 1994 Ann.
130 cMpc ~ 1 o z~ = 7.3 Lidz et al ‘Inverse’ views of evolution of large scale structure during reionization Neutral intergalactic medium via HI.
Robust cosmological constraints from SDSS-III/BOSS galaxy clustering Chia-Hsun Chuang (Albert) IFT- CSIC/UAM, Spain.
Dark Energy The first Surprise in the era of precision cosmology?
What can we learn from galaxy clustering? David Weinberg, Ohio State University Berlind & Weinberg 2002, ApJ, 575, 587 Zheng, Tinker, Weinberg, & Berlind.
Intro to Cosmology! OR What is our Universe?. The Latest High Resolution Image of the Cosmic Microwave Background Radiation Low Energy RegionHigh Energy.
How can CMB help constraining dark energy? Licia Verde ICREA & Institute of space Sciences (ICE CSIC-IEEC)
Clustering in the Sloan Digital Sky Survey Bob Nichol (ICG, Portsmouth) Many SDSS Colleagues.
The dark universe SFB – Transregio Bonn – Munich - Heidelberg.
PHY306 1 Modern cosmology 4: The cosmic microwave background Expectations Experiments: from COBE to Planck  COBE  ground-based experiments  WMAP  Planck.
Measuring dark energy from galaxy surveys Carlton Baugh Durham University London 21 st March 2012.
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?
PHY306 1 Modern cosmology 3: The Growth of Structure Growth of structure in an expanding universe The Jeans length Dark matter Large scale structure simulations.
Ignacy Sawicki Université de Genève Understanding Dark Energy.
Using Baryon Acoustic Oscillations to test Dark Energy Will Percival The University of Portsmouth (including work as part of 2dFGRS and SDSS collaborations)
Disentangling dynamic and geometric distortions Federico Marulli Dipartimento di Astronomia, Università di Bologna Marulli, Bianchi, Branchini, Guzzo,
23 Sep The Feasibility of Constraining Dark Energy Using LAMOST Redshift Survey L.Sun Peking Univ./ CPPM.
Cosmic shear and intrinsic alignments Rachel Mandelbaum April 2, 2007 Collaborators: Christopher Hirata (IAS), Mustapha Ishak (UT Dallas), Uros Seljak.
The Feasibility of Constraining Dark Energy Using LAMOST Redshift Survey L.Sun.
E  L Comma galaxies. The Cosmic Runner (Park et al. 2005; Choi et al. 2010)
Xiaohu Yang (SJTU/SHAO) With: H. Wang, H.J. Mo, Y.P. Jing, F.C van den Bosch, W.P. Lin, D. Tweed… , KIAS Exploring the Local Universe with re-
J. Jasche, Bayesian LSS Inference Jens Jasche La Thuile, 11 March 2012 Bayesian Large Scale Structure inference.
Cosmology with Large Optical Cluster Surveys Eduardo Rozo Einstein Fellow University of Chicago Rencontres de Moriond March 14, 2010.
How Different was the Universe at z=1? Centre de Physique Théorique, Marseille Université de Provence Christian Marinoni.
Big Bang f(HI) ~ 0 f(HI) ~ 1 f(HI) ~ History of Baryons (mostly hydrogen) Redshift Recombination Reionization z = 1000 (0.4Myr) z = 0 (13.6Gyr) z.
Brenna Flaugher for the DES Collaboration; DPF Meeting August 27, 2004 Riverside,CA Fermilab, U Illinois, U Chicago, LBNL, CTIO/NOAO 1 Dark Energy and.
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.
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.
Cheng Zhao Supervisor: Charling Tao
Cosmology : a short introduction Mathieu Langer Institut d’Astrophysique Spatiale Université Paris-Sud XI Orsay, France Egyptian School on High Energy.
Map-making leads to understanding When we understand the evolution from one map to another, we can understand  the sociological, economic, and political.
Inh Jee University of Texas at Austin Eiichiro Komatsu & Karl Gebhardt
Studies of Systematics for Dark Matter Observations John Carr 1.
Some bonus cosmological applications of BigBOSS ZHANG, Pengjie Shanghai Astronomical Observatory BigBOSS collaboration meeting, Paris, 2012 Refer to related.
Gamma-ray emission from warm WIMP annihilation Qiang Yuan Institute of High Energy Physics Collaborated with Xiaojun Bi, Yixian Cao, Jie Liu, Liang Gao,
The Dark Side of the Universe
The Complete Calibration of the Color-Redshift Relation (C3R2) Survey
Thomas Collett Institute of Astronomy, Cambridge
Thomas Collett Institute of Astronomy, Cambridge
The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey : cosmological analysis of the DR12 galaxy sample arXiv:
The influence of Dark Energy on the Large Scale Structure Formation
Princeton University & APC
Cosmology With The Lyα Forest
Cosmological constraints from tSZ-X cross-correlation
Recent status of dark energy and beyond
Carlo Baccigalupi, SISSA
STRUCTURE FORMATION MATTEO VIEL INAF and INFN Trieste
Cosmology from Large Scale Structure Surveys
Quantum Spacetime and Cosmic Inflation
Shintaro Nakamura (Tokyo University of Science)
Ignacy Sawicki CEICO, Institute of Physics, Prague
Detection of integrated Sachs-Wolfe effect by cross-correlation of the
The impact of non-linear evolution of the cosmological matter power spectrum on the measurement of neutrino masses ROE-JSPS workshop Edinburgh.
KDUST暗能量研究 詹虎 及张新民、范祖辉、赵公博等人 KDUST 宇宙学研讨会 国台,
宇宙磁场的起源 郭宗宽 中山大学宇宙学研讨班
6-band Survey: ugrizy 320–1050 nm
ν Are we close to measuring the neutrino hierarchy? Filipe B. Abdalla
Presentation transcript:

Ben Wandelt Flatiron Institute Cosmology Ben Wandelt Flatiron Institute Institut d’Astrophysique, Paris (IAP) Lagrange Institute, Paris (ILP) Sorbonne University

Dark energy and SPHEREx++ (or: beyond BAO with SPHEREx) BAO requires large volume to be effective High-density, high resolution, all-sky coverage at low z is unique to SPHEREx Cosmic acceleration (“dark energy”) is known to dominate at low z – so an interesting science target for SPHEREx But.. low-z structure is non-linear What to do?

The large scale structure challenge Problem: to access high-res, low-z information we need to deal with non-linearity and "bias" Possible approaches: Avoid: Observe at high redshift before density contrast became non-linear (CMB, 21cm, Ly-alpha?) Adapt: Focus on less complicated parts of the Universe, e.g. those that retain more memory of the initial conditions: cosmic voids Attack: Physical & statistical forward model of the survey, bias, etc. (perturbative or non-linear) Benjamin Wandelt

The power of cosmic voids Biggest "objects" in the Universe – fill most of the volume! Simpler dynamics and evolution than high density regions The first regions in the universe that are dominated by dark energy; most sensitive to modifications of General Relativity Sensitive to small scale DM structure A free, additional observational probe in current and future surveys: ~104 voids in Euclid! Contrast high at low-z Several active groups and a rapidly growing body of work Google “VIDE bitbucket” Benjamin Wandelt

Matter, galaxies, voids in simulation Hamaus et al. 2014

A universal profile for voids Scaling properties of voids allow reduction from 4 to 2 params Subsampled DM sims NL velocity profile matches this NL profile! Hamaus, Sutter & Wandelt PRL 2014, arxiv:1403.5499

Void-galaxy correlation function in redshift space Benjamin Wandelt See month of June on 2017 APS calender!

Joint measurement of growth of structure and of expansion geometry Using BOSS data. AP measurement is 4 times tighter than RSD from SDSS DR12 galaxy clustering analysis! (Gil-Marin et al. arXiv:1509.06386) Preliminary Euclid forecasts => 30 times higher Figure of merit than standard BAO Hamaus et al. arXiv:1602.01784 Benjamin Wandelt

Joint constraint on growth f/b and on matter density for wDE = -1 3457 voids from SDSS Hamaus et al. arXiv:1602.01784 Benjamin Wandelt

SPHEREx voids probe low-z universe Preliminary Old specs, Using dz~0.003 only 230,000 voids! Alice Pisani Complementarity: expect LH contours to be rotated wrt Euclid, WFIRST

SPHEREx will get higher number density of voids at low z; sensitive to cosmic acceleration Preliminary Old specs Using dz~0.003 only 230,000 voids! Alice Pisani Complementarity: expect LH contours to be rotated wrt Euclid, WFIRST

Non-Gaussianity with SphereX and Euclid

SPHEREx non-Gaussianity K<<k This is challenging: need to know selection function very well on large scales; expect large angle selection systematics to be the bottleneck Potential large angle systematics for SPHEREx: Confusion could lead to large angle systematics due to star-galaxy separation in galactic coordinates Zodiacal emission could lead to large angle systematics in ecliptic coordinates S S S

SPHEREx non-Gaussianity A potential solution: cross-correlations K<<k Take combinations EUCLID/SPHEREx combinations so the short scale variations due to selection systematics do not couple to long scale fluctuations Another strategy to explore: Using a Euclid-selected SPHEREx sample X Y Z

Conclusions SPHEREx’s unique strength lies in “low”-z high density pseudo-spectroscopic mapping This is well-matched to void cosmology Worth exploring Euclid/SPHEREx cross-correlation and cross-calibration especially for science that is sensitive to selection systematics Need to explore these issues in simulations!