A Quasar Based Search for Hypertorus Cosmology Dylan Menzies, Grant Mathews University of Notre Dame - PowerPoint PPT Presentation

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A Quasar Based Search for Hypertorus Cosmology Dylan Menzies, Grant Mathews University of Notre Dame

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Imposing a non-trivial topology can make a non-compact universe compact. ... 2-torus covering space. globally homogenous. The Hypertorus. 3-torus fundamental ... – PowerPoint PPT presentation

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Title: A Quasar Based Search for Hypertorus Cosmology Dylan Menzies, Grant Mathews University of Notre Dame


1
A Quasar Based Search for Hypertorus
CosmologyDylan Menzies, Grant
MathewsUniversity of Notre Dame
2
Cosmological 3D Topology
  • General relativity says nothing about topology.
    Maybe 3D topology is not simply connected.
  • Imposing a non-trivial topology can make a
    non-compact universe compact.
  • In flat space 10 compact topologies are possible.
  • Infinite non-zero compact constant-curvature
    topologies.
  • Topological dimension scale?

3
The Hypertorus
  • 2-torus covering space
  • globally homogenous

3-torus fundamental domain
4
Hypertorus Evidence
  • WMAP quadrupole and octopole
  • Suppression and alignment Tegmark et al march 03
  • Hypertorus?
  • Use to guide search (l,b) (250,60)

5
Multipole Suppression
6
Previous Results
  • 2D CMB methods
  • Multipole suppression, dT3 ? 0.25 dSLS
  • Cornish circles, de Oliveira-Costa July 03, rules
    out T3
  • Search for discrete modes could find dT3gt1 dSLS
  • eg Rocha 02 Weak bounds so far.

7
Previous Results
  • 3D quasar groups
  • Bounds weaker dT3 ? 0.02 dSLS
  • Reliant on redshift
  • Dropout intolerant

8
z-free test
  • Locate axis without z
  • Bidirectional
  • search up to dSLS
  • Find direction pixels with high number of
    alignments.

9
More Filters
  • Based on lambda .7 - .1, flat (WMAP)
  • Exclude pair if t1-t2 gt .5 billion yrs
  • (reduces peculiar velocity error as well)
  • Exclude if z1, z2, theta1, theta2 not well
    related.

10
z-distance relation
  • d

z
11
Pixel Track Illustration
12
More Sensitivity
  • Bin by calculated dT3, store max alignments and
    location of max in each bin.
  • Repeat on several sets decorrelated by random
    z-redistribution. Use mean and deviation of the
    bins in these sets as null hypothesis.

13
Results
  • 0.01 deg resolution, 20x30 deg search
  • dT3 bin spacing 0.002 dSLS
  • 2nd peak suggests dT3 .38 dSLS,
  • axis (273.7, 59.1)
  • But decorrelated data not consistent.

14
Results
  • Sensitive to dropout of below 0.01 over much of
    dT3 range
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