Twisting by the pool Generic black-hole-binary waveform models - - PowerPoint PPT Presentation

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Twisting by the pool Generic black-hole-binary waveform models - - PowerPoint PPT Presentation

Twisting by the pool Generic black-hole-binary waveform models Mark Hannam work with Cardiff: Patricia Schmidt, Frank Ohme, Michael Prrer, Geraint Pratten UIB: Alejandro Boh, Sascha Husa, Leila Haegel Motivation The future of


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Twisting by the pool

Generic black-hole-binary waveform models

Mark Hannam work with Cardiff: Patricia Schmidt, Frank Ohme, Michael Pürrer, Geraint Pratten UIB: Alejandro Bohé, Sascha Husa, Leila Haegel

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Motivation

The future of gravitational wave astronomy depends on us!

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Black-hole-binary parameter space

Nonspinning Spinning, non-precessing Generic

Phenom (2007) EOBNR (2007--) PhenomB (2009) PhenomC (2010) SEOBNR (2010) PhenSpin (2010) SP-EOBNR (2013) PhenomP (2013)

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Untangling precession

[Schmidt et al, 2012]:

We can model generic-binary waveforms by “twisting up” a non-precessing model

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PhenomC

h(f) = A(f)eiΨ(f)

  • Inspiral: TaylorF2.
  • Merger-ringdown:
  • power series in f, fit to NR data
  • final spin from formulas in literature
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SLIDE 6

Do the twist

Twist: (ι(t), α(t), ε(t))

ˆ L ι α ˆ J x y

(˙ ✏ = ˙ ↵ cos ◆)

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Precession parameter

  • Non-precessing binaries:

inspiral rate modfied by “inspiral spin”, χefg

  • Precessing binaries: precession rate

determined by “precession spin”, χp

  • χp: average of the dominant term in PN

precession equation

50000 100000 150000 200000 250000 300000 0.60 0.65 0.70 0.75 0.80 0.85 tM⇥ Χp

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Single-spin binaries

  • If our approximations hold, we can apply

(χefg, χp) to just one black hole

  • “Physical Template Family” (PTF) studies:

single-spin models effective across most of parameter space

  • New insight: identification of “equivalent”

generic systems

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SLIDE 9

Orbital plane tilt, ι(t)

ˆ L ι α ˆ J x y

cos ι = ˆ J · ˆ L = L + S|| q (L + S||)2 + S2

L(t) (or L(f)) can be calculated from PN theory ι(t) mostly affects mode amplitudes, not phases...

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Precession angle, α(t)

  • Strongly affects waveform phase
  • For a single-spin model, to leading order:
  • We use next-to-next-to leading order in

spin-orbit terms

Ωp = ✓ 2 + 3m1 2m2 ◆ J r3

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Stationary phase approximation

  • Assume waveform amplitude varies slowly:
  • Precession angles also vary slowly
  • See also [Lundgren and O’Shaughnessy 2013]

hP

2m(t) = e−im↵ X |m0|=2

eim0✏d2

m0,m(−ι)h2,m0(t)

Ψ(v) = 2πft(v) − φ(v)

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Merger and ringdown

  • J is approximately fixed
  • Use final spin estimates [Barausse, et. al. 2009]
  • Use PN angles through merger/ringdown
  • Use SPA through merger/ringdown.

Crude approximations:

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SLIDE 13

Testing the model: PN-NR hybrids

L

ι

  • 300
  • 200
  • 100

100 200 300

  • 1.0
  • 0.5

0.0 0.5 1.0 t @MD g @radD

α

Hybridize waveforms in co- precessing frame

[Schmidt, et al 2012] (q = 1, 2, 3; single & double-spin cases)

Also use NR initial parameters and evolve PN backwards in time

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Comparisons

Most extreme comparison: q=3, χp = 0.75, 50 M⊙ Against PhenomC Against PhenomP

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To do list

  • Implement for general use & testing
  • Perform simulations across (q, χefg, χp)
  • Calibrate model to simulations
  • Verify / improve assumptions
  • Improve merger/ringdown model