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Looking to the Future: LISA and Beyond

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Joey Shaipro Vincent Corbin Seth Timpano. Montana Harvest. Forward Modeling. The LISA ... Have to invert a dimensional Fisher matrix (easy) Some Open Questions ... – PowerPoint PPT presentation

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Title: Looking to the Future: LISA and Beyond


1
Looking to the Future LISA and Beyond
  • Neil Cornish

2
Bill Hiscock
Ron Hellings
Matt Benacquista
Dan Bambeck
Joe Plowman
Neil Cornish
Louis Rubbo Jeff Crowder Paul
Schladensky Joey Shaipro Vincent Corbin
Seth Timpano
3
Montana Harvest
  • Forward Modeling
  • The LISA Simulator
  • Adiabatic Approximation
  • TDI with a flexing array
  • Synthetic Galactic Background
  • Inverse Problem
  • The LISA Calculator
  • Parameter estimation with multiple sources
  • Detecting CGB, Resolution of the BBO
  • Signal Demodulation
  • gCLEAN
  • A prescription for LISA data analysis

4
Forward Modeling
LISA
GW Source
Earth
Sun
  • N. J. Cornish and L. J. Rubbo, Phys. Rev. D 67,
    022001 (2003)

http/www.physics.montana.edu/LISA
5
AM - FM - Stereo
Channel 2
Channel 1
6
SMBH Inspiral at z 1
7
SMBH Inspiral at z 1
8
Adiabatic Approximation
Neglects Flexing Aberration. Works in mixed
Time-Frequency domain
L. Rubbo, N. Cornish O. Poujade, gr-qc/0311069
Low Freq. Approx.
Adiabatic Approx.
9
Galactic Background
10
Confusion Noise
Main noise source for LISA is signal
11
Synthetic Galactic Background
Timpano, Rubbo Cornish
Multiple Realizations to be placed on the
AstroGravs Mock Data Challenge Website (with the
answer keys)
12
Galactic Background
Timpano, Rubbo Cornish. (Similar work by
Benacquista)
13
Source Parameter Estimation
Can estimate parameter resolution using Fisher
Information Matrix (Cutler, Hellings Moore,
Vecchio, Seto, Hughes, Cutler Barack)
Source Parameters
Whitened LISA data streams
(Whitening )
Fisher Matrix
Variance-Covariance Matrix
14
LISA Angular Resolution
Doppler modulation
Amplitude modulation
Monochromatic Binaries. Fixed SNR10
15
Source Confusion
Multiple Sources
How does source interference affect parameter
resolution? Example Two non-chirping binaries,
14 x 14 Fisher Matrix.
Crowder Cornish
16
Extended Observation Time Key
Source confusion decays much faster than familiar
for incoherent noise. Extended mission
lifetime is key.
17
LISA Angular Resolution
Z1, Final Year
18
Big Bang Observatory
P.I. Phinney. Co.Is Bender, Buchman, Cornish,
Fritschel, Folkner, Merkowitz.
19
Big Bang Observatory
20
BBO Angular Resolution(For foreground
Subtraction)
Z1, Final Year
21
LISA Data Analysis
  • Simple Waveforms (generally)
  • Long Duration and Continuous Sources
  • Orbital Signal Modulation
  • Multiple Overlapping Sources

Optimal signal processing uses matched filters
(Wiener) But, optimal filter for LISA is
Huge parameter space Under determined problem
22
A prescription for LISA data analysis
(Cornish Hellings)
  • Approximate solution using demodulation
    accelerated gCLEAN
  • Refinement using linear least squares

23
Forward Modeling Redux
Stereo Signal Vector
Wave Strain Vector
Modulation Matrix
Single Source
Multiple Sources Noise
24
Power Demodulation
Can directly solve for source parameters
25
Accelerated gCLEAN
  • Power Demodulation for initial guess
  • Refine using single source templates
  • gCLEAN Procedure
  • Identify Best Match
  • Subtract small fraction of best match
  • Record what is subtracted
  • Repeat steps 1 through 3
  • Reconstruct individual sources

N. Cornish S. Larson Phys. Rev. D67 103001
(2003)
Output of gCLEAN is an approximate solution for
all the sources resolved by LISA
26
gCLEAN v1.0
27
Linear Least Squares Improvement
gCLEAN yields approximate solution
The residual is a combination of detector
noise and undetected sources (confusion
background)
The variance is minimized by
Have to invert a dimensional
Fisher matrix (easy)
28
Some Open Questions
  • How well can we solve the cocktail party
    problem?
  • What is the computational cost?
  • How do we incorporate complex sources?
  • Can we say something about un-modeled sources?
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