testing gr with gw polarizations - dcc-llo.ligo.org · max isi - amaldi 2017 3 ligo-g1701301 it is...
TRANSCRIPT
Testing GR with GW polarizations
Maximiliano Isi
LIGO Laboratory, California Institute of Technology
July 12, 2017 @ Amaldi12
LIGO-G1701301
using LIGO and Virgo
LIGO-G1701301Max Isi - Amaldi 2017 2
Testing GR with GWs
dispersion
agreement with NR
self-consistency
…
not about polarizations!there are currently no model-independent
measurements of GW polarizations
we have already learned a lot from transients:
LIGO-G1701301Max Isi - Amaldi 2017 3
it is important to probe GW polarizations
we can do so with current detectors
using long-lived signals
[tl;dr]
[too long ; didn’t read]
LIGO-G1701301Max Isi - Amaldi 2017 4
x
y
z
x
x
y
z
y
z
y
x
y
plus
cross
vector x
vector y
breathing
longitudinal
LIGO-G1701301Max Isi - Amaldi 2017
Theory + x x y b l
General Relativity
GR in noncompactified 4/6D Minkowski
Einstein-Æther
5D Kaluza-Klein
Randall-Sundrum braneworld
Dvali-Gabadadze-Porrati braneworld
Brans-Dicke
f(R) gravity
Bimetric theory
Four-Vector Gravity
allowed / depends / forbiddenNishizawa et al., Phys. Rev. D 79, 082002 (2009) [except G4v & Einstein-Æther].
5
LIGO-G1701301Max Isi - Amaldi 2017 6
motivation
GR makes unequivocal prediction that only + & x should propagate
polarizations are go/no-go test, so let’s check!
LIGO-G1701301Max Isi - Amaldi 2017 9
persistent signals
antenna patterns leave imprint in
persistent signals characteristic of
each polarization
continuous-wavesstochastic background
LIGO-G1701301Max Isi - Amaldi 2017 10
new bayesian analyses
detect long GWs of any polarization(from known pulsars, or a stochastic background)
distinguish between GR and non-GR
limit amplitude of scalar/vector modes
}model selection
➜ parameterestimation
Isi et al. (2017) [arXiv:1703.07530]
Callister et al. (2017) [arXiv:1704.08373]
LIGO-G1701301Max Isi - Amaldi 2017
CW[arXiv:1703.07530]
NASA / CXC / SAO
11
crab pulsar
one of ~200 known pulsars potentially in LIGO’s band
continuous waves
LIGO-G1701301Max Isi - Amaldi 2017
CW[arXiv:1703.07530]
12
�(t) ⇡ 2⇡ ⇥ (2frot
)+ doppler and other timing corrections
h(t) = h01
2
�1 + cos
2 ◆�F+(t) cos�(t) + h0 cos ◆ F⇥(t) sin�(t)
h0
, overall strength; ◆, inclination; F (t), antenna pattern; frot
, rotational frequency
simple form, in general relativity:
continuous wavescoherent, monochromatic, well-localized
in a generic metric theory of gravity:
p 2 {+, ⇥, x, y, s}
h(t) =X
p
Fp(t)ap cos(�(t) + �p)
polarization amplitude
phase offset
LIGO-G1701301Max Isi - Amaldi 2017
CW[arXiv:1703.07530]
tensor
vector scalar
polarization
antenna pattern
amplitude modulationover a sidereal day
Crab pulsar LIGO H1
13
time (h) time (h)
Crab pulsar LIGO H1
Crab pulsar LIGO H1
time (h)
ante
nn
a r
espon
se
LIGO-G1701301Max Isi - Amaldi 2017
CW[arXiv:1703.07530]signal vs noise
14
10�28 10�27 10�26 10�25
hGR
0
101
102
103
104
lnO
m N
Any
GR
tensor injections
odds(detection statistic)
Crab H1L1V1 1yr advanced design
LIGO-G1701301Max Isi - Amaldi 2017
CW[arXiv:1703.07530]
15
10�28 10�27 10�26 10�25
hG4V
0
101
102
103
104
lnO
m N
Any
GR
vector injections
odds(detection statistic)
vector
Crab H1L1V1 1yr advanced design
signal vs noise
LIGO-G1701301Max Isi - Amaldi 2017
CW[arXiv:1703.07530]
16
10�28 10�27 10�26 10�25
hGR
10�28
10�27
10�26
10�25
10�24h
b
0
101
103
105
lnBG
RN
scalar-tensor injections
scalaramplitude
signal
noise
Crab H1L1V1 1yr advanced design
gr signal vs noise
LIGO-G1701301Max Isi - Amaldi 2017
CW[arXiv:1703.07530]
17
10�28 10�27 10�26 10�25
hGR
10�28
10�27
10�26
10�25
10�24h
b
0
101
103
105
lnO
S N
scalar-tensor injections
scalaramplitude
Crab H1L1V1 1yr advanced design signal
noise
any signal vs noise
LIGO-G1701301Max Isi - Amaldi 2017
CW[arXiv:1703.07530]
18
10�28 10�27 10�26 10�25
hGR
10�28
10�27
10�26
10�25
10�24h
b
0
102
104
lnO
nG
RG
R
scalar-tensor injections
scalaramplitude
not GR
GR
Crab H1L1V1 1yr advanced design
non-gr vs gr
LIGO-G1701301Max Isi - Amaldi 2017
CW[arXiv:1703.07530]
19
102 103
fGW (Hz)
10�27
10�26
10�25
h95
%b
Results
ASD
102 103
10�24
10�23
pS
n(1
/pH
z)
scalar upper limits
sensitivity projections for
design aLIGO + Virgo
(each point represents one pulsar)
LIGO-G1701301Max Isi - Amaldi 2017
CW[arXiv:1703.07530]
20
vector upper limits
102 103
fGW (Hz)
10�27
10�26
10�25
h95
%v
Results
ASD
102 103 10�24
10�23
pS
n(1
/pH
z)
hv
⌘�h2
x
+ h2
y
�1/2
sensitivity projections for
design aLIGO + Virgo
(each point represents one pulsar)
SB
LIGO-G1701301Max Isi - Amaldi 2017
[arXiv:1704.08373]
21
stochastic backgroundincoherent superposition of myriad unresolvable sources
SNR (top) and 90%-confidence upper-limits (bottom) from radiometer stochastic background search
[Abbott et al., PRL 118, 121102 (2017)]
see Andrew Mata’s overview talk on Friday!
SB
LIGO-G1701301Max Isi - Amaldi 2017
[arXiv:1704.08373]
22
measure correlated strain power in two detectors
incoherent, broadband, all-sky
in a generic metric theory of gravity:
p 2 {+, ⇥, x, y, s}polarization amplitude
spectral index(“slope”)
stochastic background
with the canonical GW energy density usually parametrized by
⌦(f) = ⌦0 (f/f0)↵
overlap-reductionfunction
Dh̃⇤1(f)h̃
⇤2(f
0)E=
3H20
20⇡2�(f � f 0)|f |�3
X
p
⌦p0
✓f
f0
◆↵p
�p(f)
Dh̃⇤1(f)h̃
⇤2(f
0)E=
3H20
20⇡2�(f � f 0)|f |�3⌦(f)�(f)
SB
LIGO-G1701301Max Isi - Amaldi 2017
[arXiv:1704.08373]stochastic background
0 50 100 150 200 250 300 350 400
f (Hz)
�1.0
�0.8
�0.6
�0.4
�0.2
0.0
0.2
0.4
0.6
�(f
)
Hanford-Livingston
Tensor
Vector
Scalar
0 50 100 150 200 250 300 350 400
f (Hz)
�0.25
�0.20
�0.15
�0.10
�0.05
0.00
0.05
0.10
0.15
0.20
�(f
)
Livingston-Virgo
Tensor
Vector
Scalar
overlap reduction functions encode effect of time-of-flight and differences between polarizations
23
�(f) =5
8⇡
X
p
Z
skydn̂ ei2⇡fn̂·�~x/cF p
1 (n̂)Fp
2 (n̂)
sky location
detector separation
SB
LIGO-G1701301Max Isi - Amaldi 2017
[arXiv:1704.08373]
10�10 10�9 10�8
Tensor ⌦0
0
20
40
60
80
100ln
Osi
gn
signal vs noisetensor injections
odds(detection statistic)
24
(spec. index 2/3)
H1L1 3yr advanced design
SB
LIGO-G1701301Max Isi - Amaldi 2017
[arXiv:1704.08373]
10�10 10�9 10�8
Vector ⌦0
0
20
40
60
80
100ln
Osi
gn
signal vs noisevector injections
odds(detection statistic)
25
(spec. index 2/3)
H1L1 3yr advanced design
SB
LIGO-G1701301Max Isi - Amaldi 2017
[arXiv:1704.08373]
10�10 10�9 10�8
Scalar ⌦0
0
20
40
60
80
100ln
Osi
gn
signal vs noisescalar injections
odds(detection statistic)
26
H1L1 3yr advanced design
(spec. index 2/3)
SB
LIGO-G1701301Max Isi - Amaldi 2017
[arXiv:1704.08373]
�10.5 �10.0 �9.5 �9.0 �8.5 �8.0
Tensor log ⌦T0
�10.5
�10.0
�9.5
�9.0
�8.5
�8.0
�7.5Sca
lar
log
⌦S 0
�3
0
3
10
30
507090
lnO
sig
n
scalar-tensor injections
scalaramplitude
signal
noise
H1L1V1 3yr advanced design
27
(spec. index 2/3)
non-gr vs gr
SB
LIGO-G1701301Max Isi - Amaldi 2017
[arXiv:1704.08373]
�10.5 �10.0 �9.5 �9.0 �8.5 �8.0
Tensor log ⌦T0
�10.5
�10.0
�9.5
�9.0
�8.5
�8.0
�7.5Sca
lar
log
⌦S 0
�3
0
3
10
30
507090
lnO
ngr
gr
scalaramplitude
not GR
GR
H1L1V1 3yr advanced design
28
(spec. index 2/3)
scalar-tensor injections
non-gr vs gr
SB
LIGO-G1701301Max Isi - Amaldi 2017
[arXiv:1704.08373]
29
3yr sensitivity projections for design aLIGO + Virgo
�13�12�11�10�9 �8 �7 �6
log ⌦T0
log ⌦T0 = �11.71+1.02
�0.83
�13�12�11�10�9 �8 �7 �6
log ⌦V0
log ⌦V0 = �11.63+1.11
�0.90
�13�12�11�10�9 �8 �7 �6
log ⌦S0
log ⌦S0 = �11.69+1.02
�0.84
�8�6�4�2 0 2 4 6 8↵T
↵T = �0.40+2.49�2.50
�8�6�4�2 0 2 4 6 8↵V
↵V = 0.17+2.38�2.69
�8�6�4�2 0 2 4 6 8↵S
↵S = �0.37+2.48�2.55
tensor vector scalar
amplitudes
tensor vector scalar
slopes
log⌦
S0 < �10.0log⌦
V0 < �9.9log⌦
T0 < �10.1
projected 95%-credible amplitude upper limits
gray histograms are LIGO-only results, dashed lines mark priors
parameter estimation
SB
LIGO-G1701301Max Isi - Amaldi 2017
[arXiv:1704.08373]
�13�12�11�10�9 �8 �7 �6
log ⌦T0
log ⌦T0 = �8.73+0.15
�0.22
�13�12�11�10�9 �8 �7 �6
log ⌦V0
log ⌦V0 = �11.22+1.46
�1.20
�13�12�11�10�9 �8 �7 �6
log ⌦S0
log ⌦S0 = �8.70+0.18
�0.33
�8�6�4�2 0 2 4 6 8↵T
↵T = 0.88+0.88�0.77
�8�6�4�2 0 2 4 6 8↵V
↵V = �0.26+2.03�2.53
�8�6�4�2 0 2 4 6 8↵S
↵S = 0.60+0.78�0.51
tensor vector scalar
amplitudes
tensor vector scalar
slopes
30
3yr scalar-tensor signal with design aLIGO + Virgo
gray histograms are LIGO-only results, dashed lines mark priors
Virgo does not increase sensitivity but helps
break degeneracy between scalar and vector
parameter estimation
LIGO-G1701301Max Isi - Amaldi 2017
we are now able to detect persistent signals of any
polarization content in a model-independent way
we can directly measure polarization content and
quantify agreement with GR
this will allow us to explore a new side of gravity!
conclusion
31
[arXiv:1703.07530] | [arXiv:1704.08373]
thank you!