The Scientific Potential of EMRI observations with NGO - APC
The Scientific Potential of EMRI observations with NGO - APC
The Scientific Potential of EMRI observations with NGO - APC
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Thursday, 24 May 2012<br />
<strong>The</strong> <strong>Scientific</strong> <strong>Potential</strong> <strong>of</strong><br />
<strong>EMRI</strong> <strong>observations</strong> <strong>with</strong> <strong>NGO</strong><br />
Jonathan Gair (IoA, Cambridge)<br />
LISA Symposium, Paris, May 24th 2012
Thursday, 24 May 2012<br />
Talk Outline<br />
• Brief introduction to extreme-mass-ratio inspirals (<strong>EMRI</strong>s).<br />
• Estimates <strong>of</strong> signal-to-noise ratios and event rates for <strong>EMRI</strong><br />
detections using <strong>NGO</strong> and other potential configurations.<br />
• Parameter estimation accuracies for <strong>EMRI</strong>s.<br />
• <strong>EMRI</strong> science<br />
• Astrophysics - probe <strong>of</strong> massive black hole populations.<br />
• Cosmology - measurement <strong>of</strong> the Hubble constant.<br />
• Fundamental physics - test the “no-hair” property <strong>of</strong><br />
black holes, test relativity.
Detector Configurations<br />
• Consider four different detector configurations<br />
- <strong>NGO</strong>: 1Gm arm length, 2 arms (4-link), 0.4m telescope, 2W<br />
laser power, DRS inertial sensor, 10 degree Earth-trailing orbit.<br />
- Classic LISA: 5Gm arm length, 20 degree Earth-trailing orbit.<br />
Consider both 3 arm (6-link) constellation and 2 arm (4-link)<br />
constellation.<br />
- 3-arm <strong>NGO</strong>: as <strong>NGO</strong>, but third arm restored (6 laser links).<br />
- 2Gm <strong>NGO</strong>: as <strong>NGO</strong>, but <strong>with</strong> 2Gm arm length.<br />
• Assume mission lifetime is 2 years in each case.<br />
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1/2<br />
Sh (f)<br />
Thursday, 24 May 2012<br />
1e-16<br />
1e-17<br />
1e-18<br />
1e-19<br />
<strong>NGO</strong> Sensitivity Curves<br />
Classic LISA<br />
1e-20<br />
0.0001 0.001 0.01 0.1 1<br />
f (Hz)<br />
<strong>NGO</strong><br />
2 Gm <strong>NGO</strong><br />
Classic LISA
<strong>EMRI</strong>s - SNRs<br />
• Characterise <strong>EMRI</strong> detectability<br />
in terms <strong>of</strong> the observable<br />
lifetime, tobs - the length <strong>of</strong> time<br />
during which LISA could start<br />
taking data and an event be<br />
observed <strong>with</strong> sufficient SNR.<br />
• Rate <strong>of</strong> observed events is then<br />
tobs/T, where T is the average time<br />
between plunges.<br />
• Compute observable lifetimes for<br />
<strong>EMRI</strong>s in the (e)LISA<br />
configurations using circular,<br />
equatorial Teukolsky fluxes. Take<br />
SNR detection threshold <strong>of</strong> 20.<br />
Thursday, 24 May 2012<br />
SNR accumulated<br />
60<br />
50<br />
40<br />
30<br />
20<br />
10<br />
0<br />
tlate<br />
tobs<br />
tearly<br />
0 5 10 15 20 25<br />
time remaining until plunge
Thursday, 24 May 2012<br />
<strong>EMRI</strong>s - SNRs<br />
• Contours <strong>of</strong> constant observable lifetime <strong>of</strong> 1 year, assuming all<br />
black holes are non-spinning and compact object mass m=10.<br />
z<br />
0<br />
0.2<br />
0.4<br />
0.6<br />
0.8<br />
<strong>NGO</strong><br />
3-arm <strong>NGO</strong><br />
2 Gm <strong>NGO</strong><br />
2-arm LISA<br />
1<br />
3-arm LISA<br />
10000 100000 1e+06 1e+07<br />
M
<strong>EMRI</strong>s - SNRs<br />
• Compute SNRs using analytic kludge waveforms to include<br />
eccentricity and as a cross-check.<br />
z<br />
Thursday, 24 May 2012<br />
0<br />
0.2<br />
0.4<br />
0.6<br />
0.8 <strong>NGO</strong><br />
3-arm <strong>NGO</strong><br />
2 Gm <strong>NGO</strong><br />
2-arm LISA<br />
3-arm LISA<br />
1<br />
10000 100000 1e+06 1e+07<br />
M<br />
Showing<br />
detection<br />
horizon<br />
for ep=0.25,<br />
a=0
<strong>EMRI</strong>s <strong>EMRI</strong>s - Parameter - Event Estimation Rates<br />
Configuration<br />
Black hole spin<br />
0 0.5 0.9<br />
<strong>NGO</strong> 45 50 90<br />
3-arm <strong>NGO</strong> 110 140 190<br />
2Gm <strong>NGO</strong> 150 165 250<br />
Classic LISA (2-arm) 600 650 750<br />
Classic LISA (3-arm) 1000 1150 1250<br />
• Note intrinsic rate uncertainties are an order <strong>of</strong> magnitude or more.<br />
Thursday, 24 May 2012
<strong>EMRI</strong>s - Event Rates<br />
• BUT, have constraint on rate from total mass accreted by black<br />
holes.<br />
f<br />
Thursday, 24 May 2012<br />
100<br />
10<br />
1<br />
0.1<br />
0.01<br />
0.001<br />
10000 100000 1e+06 1e+07<br />
M (solar masses)<br />
m = 5<br />
m = 10<br />
m = 15<br />
m = 20
! <strong>EMRI</strong> (Gyr -1 )<br />
Thursday, 24 May 2012<br />
1000<br />
100<br />
10<br />
1<br />
<strong>EMRI</strong>s - Event Rates<br />
f = 1<br />
f = 0.1<br />
f = 0.01<br />
0.1<br />
m = 5<br />
m = 10<br />
m = 15<br />
m = 20<br />
10000 100000 1e+06 1e+07<br />
M (solar masses)
<strong>EMRI</strong>s <strong>EMRI</strong>s - Parameter - Event Estimation Rates<br />
• Assume all massive black holes have spin a=0.9 and detection <strong>with</strong><br />
<strong>NGO</strong>.<br />
CO<br />
mass<br />
f = 0.01 f = 0.1 f = 1<br />
No. events <strong>with</strong> M > No. events <strong>with</strong> M > No. events <strong>with</strong> M ><br />
10 4 10 5 10 6 10 4 10 5 10 6 10 4 10 5 10 6<br />
5 7 7 4 20 20 5 30 25 5<br />
10 10 10 5 60 60 15 85 75 15<br />
15 15 15 10 90 90 30 160 150 30<br />
20 15 15 10 100 100 40 230 200 40<br />
Thursday, 24 May 2012
<strong>EMRI</strong>s <strong>EMRI</strong>s - Parameter - Event Estimation Rates<br />
• Consider dependence on black hole spin, assuming f = 0.1 and<br />
detection <strong>with</strong> <strong>NGO</strong>.<br />
CO<br />
mass<br />
a = 0<br />
Black Hole Spin<br />
a = 0.5 a = 0.9<br />
No. events <strong>with</strong> M > No. events <strong>with</strong> M > No. events <strong>with</strong> M ><br />
10 4 10 5 10 6 10 4 10 5 10 6 10 4 10 5 10 6<br />
5 5 5 0 10 10 < 1 20 20 5<br />
10 15 15 < 1 20 20 1 60 60 15<br />
15 15 15 < 1 30+1 30 5 90 90 30<br />
20 45 45 1 40+1 40 5 100 100 40<br />
Thursday, 24 May 2012
<strong>EMRI</strong>s <strong>EMRI</strong>s - Parameter - Event Estimation Rates<br />
• Consider dependence on detector configuration, assuming f = 0.1<br />
and compact object mass m = 10.<br />
Detector<br />
a = 0<br />
Black Hole Spin<br />
a = 0.5 a = 0.9<br />
No. events <strong>with</strong> M > No. events <strong>with</strong> M > No. events <strong>with</strong> M ><br />
10 4 10 5 10 6 10 4 10 5 10 6 10 4 10 5 10 6<br />
<strong>NGO</strong> 15 15 < 1 20 20 1 60 60 15<br />
3-arm 35+2 35 < 1 60+2 60 3 105+2 105 35<br />
2 Gm 50 45 2 60+2 60 5 140+3 140 45<br />
LISA<br />
( 2 arm)<br />
LISA<br />
( 3 arm)<br />
Thursday, 24 May 2012<br />
210 200 10 250 240 30 360 350 130<br />
340 300 20 370 340 50 490 460 160
dn/dlnM<br />
dn/dlnM<br />
0.5<br />
0.45<br />
0.4<br />
0.35<br />
0.3<br />
0.25<br />
0.2<br />
0.15<br />
0.1<br />
0.05<br />
0.6<br />
0.5<br />
0.4<br />
0.3<br />
0.2<br />
0.1<br />
Thursday, 24 May 2012<br />
<strong>EMRI</strong>s - Parameter - Event Properties Estimation<br />
<strong>NGO</strong><br />
3-arm <strong>NGO</strong><br />
2Gm <strong>NGO</strong><br />
2-arm LISA<br />
3-arm LISA<br />
BH spin<br />
a = 0<br />
No mass 0<br />
Mass<br />
M<br />
<strong>NGO</strong><br />
3-arm <strong>NGO</strong><br />
fraction<br />
constraint<br />
2.5<br />
z<br />
Redshift<br />
0<br />
10000 100000 1e+06 1e+07<br />
0<br />
10000 100000 1e+06 1e+07<br />
M<br />
2Gm <strong>NGO</strong><br />
2-arm LISA<br />
3-arm LISA<br />
BH spin<br />
a = 0.9<br />
dn/dz<br />
dn/dz<br />
4.5<br />
4<br />
3.5<br />
3<br />
2.5<br />
2<br />
1.5<br />
1<br />
0.5<br />
2<br />
1.5<br />
1<br />
0.5<br />
0<br />
<strong>NGO</strong><br />
3-arm <strong>NGO</strong><br />
2Gm <strong>NGO</strong><br />
2-arm LISA<br />
3-arm LISA<br />
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1<br />
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1<br />
z<br />
<strong>NGO</strong><br />
3-arm <strong>NGO</strong><br />
2Gm <strong>NGO</strong><br />
2-arm LISA<br />
3-arm LISA
dn/dlnM<br />
dn/dlnM<br />
1<br />
0.9<br />
0.8<br />
0.7<br />
0.6<br />
0.5<br />
0.4<br />
0.3<br />
0.2<br />
0.1<br />
<strong>EMRI</strong>s - Parameter - Event Properties Estimation<br />
<strong>NGO</strong><br />
3-arm <strong>NGO</strong><br />
2Gm <strong>NGO</strong><br />
2-arm LISA<br />
3-arm LISA<br />
BH spin<br />
a = 0<br />
0<br />
f=0.1 mass<br />
Mass<br />
M<br />
<strong>NGO</strong><br />
3-arm <strong>NGO</strong><br />
fraction<br />
constraint<br />
2.5<br />
z<br />
Redshift<br />
0<br />
10000 100000 1e+06 1e+07<br />
0.9<br />
0.8<br />
0.7<br />
0.6<br />
0.5<br />
0.4<br />
0.3<br />
0.2<br />
0.1<br />
Thursday, 24 May 2012<br />
0<br />
10000 100000 1e+06 1e+07<br />
M<br />
2Gm <strong>NGO</strong><br />
2-arm LISA<br />
3-arm LISA<br />
BH spin<br />
a = 0.9<br />
dn/dz<br />
dn/dz<br />
4.5<br />
4<br />
3.5<br />
3<br />
2.5<br />
2<br />
1.5<br />
1<br />
0.5<br />
2<br />
1.5<br />
1<br />
0.5<br />
0<br />
<strong>NGO</strong><br />
3-arm <strong>NGO</strong><br />
2Gm <strong>NGO</strong><br />
2-arm LISA<br />
3-arm LISA<br />
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1<br />
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1<br />
z<br />
<strong>NGO</strong><br />
3-arm <strong>NGO</strong><br />
2Gm <strong>NGO</strong><br />
2-arm LISA<br />
3-arm LISA
<strong>EMRI</strong>s - Parameter Estimation<br />
• Precision <strong>of</strong> <strong>EMRI</strong> parameter estimation is affected by<br />
configuration choice only through SNR. Parameter estimation<br />
accuracies for sources observed at a fixed SNR <strong>of</strong> 30 are very similar.<br />
Thursday, 24 May 2012<br />
Configuration<br />
Parameter <strong>NGO</strong> 3-arm <strong>NGO</strong> 2Gm <strong>NGO</strong> Classic LISA<br />
ln(M) 2x10 -4 2x10 -4 2x10 -4 2x10 -4<br />
ln(m) 1x10 -4 1x10 -4 1x10 -4 1x10 -4<br />
a 3x10 -4 3x10 -4 3x10 -4 3x10 -4<br />
Sky Pos. 2 o 1 o 2 o 1 o<br />
ln(D) 0.125 0.1 0.125 0.1
• A single <strong>EMRI</strong> event <strong>with</strong> an electromagnetic counterpart (and<br />
hence a redshift measurement) will give the Hubble constant to<br />
an accuracy <strong>of</strong> ~3%. N events give an accuracy <strong>of</strong> ~ 3/ %.<br />
√ N<br />
Thursday, 24 May 2012<br />
<strong>EMRI</strong> Science - Cosmology<br />
• Even <strong>with</strong>out a counterpart, can estimate Hubble constant<br />
statistically (McLeod & Hogan 08)<br />
- Let every galaxy in the LISA error box “vote” on the Hubble constant.
<strong>EMRI</strong> Science - Cosmology<br />
• A single <strong>EMRI</strong> event <strong>with</strong> an electromagnetic counterpart (and<br />
hence a redshift measurement) will give the Hubble constant to<br />
an accuracy <strong>of</strong> ~3%. N events give an accuracy <strong>of</strong> ~ 3/ %.<br />
√ N<br />
Thursday, 24 May 2012<br />
• Even <strong>with</strong>out a counterpart, can estimate Hubble constant<br />
statistically (McLeod & Hogan 08)<br />
- Let every galaxy in the LISA error box “vote” on the Hubble constant.<br />
McLeod &<br />
Hogan (2008)
<strong>EMRI</strong> Science - Cosmology<br />
• A single <strong>EMRI</strong> event <strong>with</strong> an electromagnetic counterpart (and<br />
hence a redshift measurement) will give the Hubble constant to<br />
an accuracy <strong>of</strong> ~3%. N events give an accuracy <strong>of</strong> ~ 3/ %.<br />
√ N<br />
Thursday, 24 May 2012<br />
• Even <strong>with</strong>out a counterpart, can estimate Hubble constant<br />
statistically (McLeod & Hogan 08)<br />
- Let every galaxy in the LISA error box “vote” on the Hubble constant.<br />
McLeod &<br />
Hogan (2008)
• A single <strong>EMRI</strong> event <strong>with</strong> an electromagnetic counterpart (and<br />
hence a redshift measurement) will give the Hubble constant to<br />
an accuracy <strong>of</strong> ~3%. N events give an accuracy <strong>of</strong> ~ 3/ %.<br />
√ N<br />
Thursday, 24 May 2012<br />
<strong>EMRI</strong> Science - Cosmology<br />
• Even <strong>with</strong>out a counterpart, can estimate Hubble constant<br />
statistically (McLeod & Hogan 08)<br />
- Let every galaxy in the LISA error box “vote” on the Hubble constant.<br />
- If ~20 <strong>EMRI</strong> events are detected at z < 0.5, will determine the<br />
Hubble constant to ~1%.<br />
• Analysis assumed typical distance uncertainties for Classic<br />
LISA. Pessimistically, eLISA could have a factor 2 larger<br />
distance error; ~20 events at z < 0.5 would provide ~2% Hubble<br />
measurement, ~80 events would provide 1% precision.
• A single <strong>EMRI</strong> event <strong>with</strong> an electromagnetic counterpart (and<br />
hence a redshift measurement) will give the Hubble constant to<br />
an accuracy <strong>of</strong> ~3%. N events give an accuracy <strong>of</strong> ~ 3/ %.<br />
√ N<br />
Thursday, 24 May 2012<br />
<strong>EMRI</strong> Science - Cosmology<br />
• Even <strong>with</strong>out a counterpart, can estimate Hubble constant<br />
statistically (McLeod & Hogan 08)<br />
- Let every galaxy in the LISA error box “vote” on the Hubble constant.<br />
- If ~20 <strong>EMRI</strong> events are detected at z < 0.5, will determine the<br />
Hubble constant to ~1%.<br />
• Analysis assumed typical distance uncertainties for Classic<br />
LISA. Pessimistically, eLISA could have a factor 2 larger<br />
distance error; ~20 events at z < 0.5 would provide ~2% Hubble<br />
measurement, ~80 events would provide 1% precision.<br />
• Any LISA-like detector will place constraints on H0.
<strong>EMRI</strong> Science - Fundamental Physics<br />
• Large number <strong>of</strong> waveform cycles generated in strong field make<br />
<strong>EMRI</strong>s ideal laboratories for fundamental physics<br />
Thursday, 24 May 2012<br />
- Verify ‘no-hair’ property <strong>of</strong> massive objects in centres <strong>of</strong> galaxies and<br />
hence test hypothesis that these are Kerr black holes. Hence test<br />
assumptions <strong>of</strong> the uniqueness theorem, i.e., axisymmetry, presence <strong>of</strong><br />
a horizon, no closed-timelike-curves.<br />
- Look for signatures <strong>of</strong> astrophysical perturbations, e.g., accretion<br />
discs or other material in the black hole vicinity (Barausse et al.,<br />
2007,2008) or massive perturbers (Yunes et al. 2011) etc.<br />
- Test theory <strong>of</strong> gravity, e.g., Brans-Dicke, dynamical Chern-Simons<br />
modified gravity (Sopuerta & Yunes 2009, Canizares et al. 2012).<br />
• <strong>The</strong>se tests just rely on observing many <strong>EMRI</strong> waveform cycles.<br />
Any <strong>EMRI</strong>s detected can be used for fundamental<br />
physics tests.
Summary<br />
• Prospects for detection <strong>of</strong> <strong>EMRI</strong>s <strong>with</strong> <strong>NGO</strong> or a similar spacebased<br />
detector are good - expect tens <strong>of</strong> events at redshift z < 0.5.<br />
• <strong>EMRI</strong> parameter estimation precisions are comparable to<br />
estimates for Classic LISA for sources at a given SNR.<br />
• Strong potential for <strong>EMRI</strong> science -<br />
• Astrophysics - will obtain high precision measurements <strong>of</strong> black hole<br />
masses and spins; can beat current constraints on slope <strong>of</strong> black hole<br />
mass function <strong>with</strong> as few as ten <strong>observations</strong>.<br />
• Cosmology - measure Hubble constant to ~1-2% <strong>with</strong> ~20 events.<br />
• Fundamental physics - can use <strong>EMRI</strong> <strong>observations</strong> to test the black<br />
hole hypothesis and test relativity against alternative theories <strong>of</strong> gravity.<br />
• Descoped missions will <strong>of</strong>fer the same range <strong>of</strong> science as Classic<br />
LISA, albeit <strong>with</strong> fewer events and reduced SNR for individual<br />
sources. However, large rate uncertainties arise from astrophysics.<br />
Thursday, 24 May 2012