Ian Harry Why were excited by compact binary mergers Short - - PowerPoint PPT Presentation
Ian Harry Why were excited by compact binary mergers Short - - PowerPoint PPT Presentation
Ian Harry Why were excited by compact binary mergers Short introduction to gravitational waves and gravitational-wave observatories Observing compact binary mergers with gravitational-wave facilities What can we learn from
- Why we’re excited by compact binary mergers
- Short introduction to gravitational waves and
gravitational-wave observatories
- Observing compact binary mergers with
gravitational-wave facilities
- What can we learn from gravitational-wave
- bservations of compact binary mergers?
Image credit: NRAO and Chandra.harvard.edu
0.0 0.5 1.0 1.5 2.0 2.5 Neutron star mass [M ]
J0737-3039A J0737-3039B J1518+4904 J1518+4904comp. B1534+12 B1534+12comp. J1756-2251 J1756-2251comp. J1811-1736 J1811-1736comp. J1829+2456 J1829+2456comp. J1906+0746 J1906+0746comp. B1913+16 B1913+16comp. B2127+11C B2127+11comp. J0024-7204H(47TucH)* J0437-4715 J0514-4002A* J0621+1002 J0751+1807 J1012+5307 J1141-6545 B1516+02B* J1614-2230 J1713+0747 J1748-2446I(Ter5I)* J1748-2446J(Ter5J)* B1802-07* J1802-2124 B1855+09 J1909-3744 B1911-5958A* B2303+46
0.0 0.5 1.0 1.5 2.0 2.5 0.0 0.5 1.0 1.5 2.0 2.5
Double neutron star systems Neutron star-white dwarf systems
Kiziltan et al. arXiv:1011.4291
0.0 0.5 1.0 1.5 2.0 2.5 Neutron star mass [M ]
J0737-3039A J0737-3039B J1518+4904 J1518+4904comp. B1534+12 B1534+12comp. J1756-2251 J1756-2251comp. J1811-1736 J1811-1736comp. J1829+2456 J1829+2456comp. J1906+0746 J1906+0746comp. B1913+16 B1913+16comp. B2127+11C B2127+11comp. J0024-7204H(47TucH)* J0437-4715 J0514-4002A* J0621+1002 J0751+1807 J1012+5307 J1141-6545 B1516+02B* J1614-2230 J1713+0747 J1748-2446I(Ter5I)* J1748-2446J(Ter5J)* B1802-07* J1802-2124 B1855+09 J1909-3744 B1911-5958A* B2303+46
0.0 0.5 1.0 1.5 2.0 2.5 0.0 0.5 1.0 1.5 2.0 2.5
Double neutron star systems Neutron star-white dwarf systems
Kalogera et al. ApJ. 601, L179 (2004) 83 binary neutron star mergers in our galaxy every 1 million years
- Binary pulsar PSR1913+16
- Pulsar provides a very
accurate clock
- Ideal “laboratory” for
testing general relativity
- Binary is losing energy as
gravitational waves at precisely the rate predicted by general relativity
Figure from Weisberg+Taylor (2004).
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Image credit: ESA (left) NASA/ESA/Felix Mirabel (right) Low mass X-ray binary (LMXRB) High mass X-ray binary (HMXRB)
Image credit: J. Orosz
Farr et al. ApJ 741, 103
Abbott et al. CQG 27, 173001 (2010)
Simulation courtesy of the Simulating eXtreme Spacetimes (SXS) collaboration
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16
17
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LIGO Hanford, WA LIGO Livingston, LA
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Virgo Cascina Italy
- Initial LIGO operated between 2002-2010
- Initial Virgo between 2007-2011
- No observations were made
- Advanced LIGO will become is operational this year
- Advanced Virgo will follow next year
- At design sensitivity will be 10x more sensitive
- 10x distance = 1000x more volume
- Observatories in Japan and India hope to join in the
2020+ timescale.
- The first direct observations of gravitational wave
sources from colliding black holes and/or neutron stars are expected soon!
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10
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10
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10
3
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−24
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−23
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−22
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frequency (Hz) strain noise amplitude (Hz−1/2) Advanced Virgo Early (2016−17, 20 − 60 Mpc) Mid (2017−18, 60 − 85 Mpc) Late (2018−20, 65 − 115 Mpc) Design (2021, 130 Mpc) BNS−optimized (145 Mpc) 10
1
10
2
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3
10
−24
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−23
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−22
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frequency (Hz) strain noise amplitude (Hz−1/2) Advanced LIGO Early (2015, 40 − 80 Mpc) Mid (2016−17, 80 − 120 Mpc) Late (2017−18, 120 − 170 Mpc) Design (2019, 200 Mpc) BNS−optimized (215 Mpc)
Aasi et al. 1304.0670 100 Mpc = 326Mly = redshift (z) of 0.024
Image credit: Stevenson et al. 1504.07802 Mass ratio 4:1 2:1 1:1 ~ Average mass of the two components
- Gravitational wave detectors
are sensitive to sources from many directions
- Do not require “pointing”
- Makes source localization difficult
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LIGO Hanford LIGO Livingston GEO Virgo
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1 2 3 4 5×10−3
- prob. per deg2
Singer et al. ApJ 795 (2014), 2, 105
0.0 0.5 1.0 1.5×10−2
- prob. per deg2
Singer et al. ApJ 795 (2014), 2, 105
Aasi et al. 1304.0670 2016 2017-8 2018 - ?? With a fourth observatory
Aasi et al. 1304.0670 Abbott et al. CQG 27, 173001 (2010)
1.5 2.0 2.5 3.0 3.5 0.6 0.8 1.0 1.2 1.4 m2M m1M
ΧNS 0 ΧNS 0.05
1.5 2.0 2.5 3.0 0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 m2M Χ
Hannam, IH, et al. Astrophys.J. 766 (2013) L14
1.5 2.0 2.5 3.0 3.5 0.6 0.8 1.0 1.2 1.4 m2M m1M
ΧNS 0 ΧNS 0.05
1.5 2.0 2.5 3.0 0.05 0.00 0.05 0.10 0.15 0.20 0.25 0.30 m2M Χ
Hannam, IH, et al. Astrophys.J. 766 (2013) L14
M = (m1 + m2) × (m1 × m2) (m1 + m2)2 3/5
1.219 0.871 1.741 2.786
1.0,1.0
- 1.35,1.35
- 2,2
3.2,3.2
1:2 1:4 1:10
2 4 6 8 10 0.0 0.5 1.0 1.5 2.0 2.5 3.0 m2M m1M
Hannam, IH, et al. Astrophys.J. 766 (2013) L14
2 4 6 8 10 12 14 2 3 4 5 6 7 8 m2M m1M
BBH region
7.3,7.3 Inspiral only
- 5.7,5.7
Merger ringdown
- Hannam, IH, et al. Astrophys.J. 766 (2013) L14
5 10 15 20 25 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 m2M m1M
0.5 1.0 1.5 2.0 2.5 0.60 0.65 0.70 0.75 0.80 0.85 0.90 m1M Χ2
- Hannam, IH, et al. Astrophys.J. 766 (2013) L14
5 10 15 20 25 30 1 2 3 4 5 6
m1 m2
0.2 0.4 0.6 0.8 1
2
Littenberg, et al. 1503.03179
100 110 120 130 140 150 160 170 180
mz
1 [M]
40 50 60 70 80 90 100 110 120
mz
2 [M]
Ghosh et al. arXiv: 1505.0560
Vitale et al. PRL 112, 251101 (2014)
Mandel et al. MNRAS 450, L85
Stevenson et al. 1504.07802
- W. Del Pozzo, Phys. Rev. D 86, 043011 (2012)
−40 −20 20 40 60 80 100 120 140 ln OmodGR
GR
0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 P(ln OmodGR
GR
)
TaylorT4 + all (70 catalogs) δχ3 = −0.1 (30 catalogs)
- M. Agathos et al., Phys. Rev. D 89, 082001 (2014)
- We expect gravitational-wave astronomy to begin
in the next years
- Compact binary mergers are a key target for these
systems
- I hope to have given you a flavour of what we can
learn from observing such systems
Any questions?
- Gravity is described as a
warping of space and time
- Caused by the mass and energy
in the universe
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Black hole space-time
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Image: T. Carnahan (NASA GSFC)
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- How would we know when there is a black hole
signal in data from LIGO and Virgo?
- PROBLEM: The data is contaminated by other noise
sources: seismic, thermal, human ….
- PROBLEM: Unless the black holes are really close,
data with a signal in it will look indistinguishable from data with no signal in it.
- SOLUTION: Matched-filtering
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- Optimal if looking for a known signal buried in noise.
50 Wainstein and Zubakov “Extraction of signals from noise”, 1962 Allen et al. Phys.Rev. D85 (2012) 122006 Babak, … ,IH, et al. Phys.Rev. D87 (2013) 024033
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Time-frequency spectrograms showing power
Loud simulated black hole merger A noise artifact
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- Flag times of poor data quality
- Use a variety of monitors to identify
instrumental misbehaviour
- Require “coincident” signal in several
detectors
- Make use of signal consistency tests
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