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Looking for a Stochastic Gravitational Wave Background

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Title: Looking for a Stochastic Gravitational Wave Background


1
Looking for a Stochastic Gravitational Wave
Background
Laser Interferometry and Pulsar Timing
  • Stefan Ballmerfor the LIGO Scientific
    Collaboration

International Pulsar Timing Array Meeting, August
1-2, 2008 Arecibo, PR
2
VIRGO Observatory Tuscany, Italy One
interferometer (3km)
LIGO Livingston Observatory Louisiana, USA One
interferometer (4km)
GEO600 Niedersachsen, Germany One interferometer
(600m)
LIGO Hanford Observatory Washington, USA Two
interferometers (4 km and 2 km arms)
Ground-based Observatories of the LIGO / VIRGO
collaboration
  • Adapted from The Blue Marble Land Surface,
    Ocean Color and Sea Ice at visibleearth.nasa.gov

3
Interferometer Sensitivity
end test mass
4 km Fabry-Perot cavity
recycling mirror
input test mass
20000 W
300 W
6 W
50/50 beam splitter
GW signal
(Numbers for LIGO 4km)
4
Stochastic Analysis Basics
  • Signal in detector i
  • Stochastic signal

5
Cross correlation
  • Cross-correlation between 2 detectors
  • What is Q? Depends If we look forisotropic
    background

6
Cross correlation
  • Cross-correlation between 2 detectors
  • What is Q? Depends If we look forun-polarized
    source at ?

7
What about Pulsar Timing?
  • Signal from pulsar i
  • Compared to LIGO
  • Antenna function FiA has a different shape
    (Estabrook/Wahlquist 1975)
  • Additional Pulsar term (noise due to GW)
  • No time delay term (GW frequency lower)

8
Hellings Downs or Overlap Reduction
FunctionIts all geometry!
  • General definition of geometry factor ?
  • For pulsars
  • Time delay Phasor ? 1 ? ? frequency indep.!
  • No signal loss at higher freq. for isotropic
    background
  • No additional directional information from time
    delay

Time delay
Antennafunctions
Shape
9
Looking for an isotropic background
PTA Hellings Downs
LIGO Overlap Reduction Function
10
Geometry factor ? for LIGO
  • Poor resolution at DC
  • Time delay provides better resolution at AC

LIGO ? at DC
LIGO ? at 100Hz
11
Geometry factor ? for 2 pulsars
  • Small pulsar separations provide good resolution
  • No additional resolution at AC

PTA ? for 15deg separation
PTA ? for 90deg separation
12
So what about spatial resolution?
  • How well can I resolve a point source?
  • i.e. what is my point spread function?
  • Answer Calculate the Fisher matrix G?,?
  • LIGO Resolution dependent on H(f)
  • PTA Resolution independent of frequency

13
Point Spread Function for LIGO
14
Point Spread Function for PTA(10 random pulsars)
  • Depends on number and location of pulsars
  • For this talk
  • Assumed 10 fictional pulsars, randomly spaced

15
Point Spread Function for PTA(10 random pulsars)
  • Un-polarized source at RA15h, DECL30deg

16
Point Spread Function for PTA(10 random pulsars)
  • Un-polarized source at RA18h, DECL 0deg

17
Conclusion
  • The LIGO stochastic analysis methods is portable
    to a Pulsar Timing Array search
  • 1 detector 1 pulsar
  • LIGO isotropic Hellings Downs search
  • Except
  • Use of a cross-correlation kernel Q(f) (optimal
    filtering)
  • LIGO directional search also portable
  • Only difference No time delay term for PTA

18
The
  • End

19
(No Transcript)
20
Extra
  • Slides

21
Some Definitions (sorry)
  • The Signal
  • The Measurements
  • Detector X-Power as function of time and
    frequency.
  • They are all independent, i.e.

22
The Expectation Value
  • Expectation value of Measurementdepends on time
    due to earth rotation
  • This defines the geometry factor

23
So farLooking for Point Sources
  • For each pixel
  • Optimal to find isolated Point Sources
  • Computationally inexpensive
  • Neighboring pixels correlated (blurred map)
  • S4 result Phys. Rev. D 76, 082003 (2007)

24
What about that blur?
  • Blur described by covariance (Fisher) matrix
  • In principle not hard to calculate,
  • But G needs to be inverted to calculate noise
  • Size ( Pixel)2
  • No exploitable symmetry for Pixel basis
  • S. Mitra et. al., to be published in PRD
  • Fisher matrix not fully inverted

25
Spherical Harmonics
  • Maximum likelihood estimation gives
  • i.e. same as before
  • But symmetries imply structure
  • Parity ?l odd ? G 0 (exact)
  • Rotational symmetry m ? m ? G 0 (approx.)
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