Testing general relativity with TianQin the prospect of using the inspiral signals of black hole binaries Changfu Shi1Mujie Ji1 2Jian-dong Zhang1and Jianwei Mei1

2025-05-02 0 0 1.03MB 20 页 10玖币
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Testing general relativity with TianQin: the prospect of using the inspiral signals
of black hole binaries
Changfu Shi,1Mujie Ji,1, 2 Jian-dong Zhang,1and Jianwei Mei1,
1MOE Key Laboratory of TianQin Mission, TianQin Research Center for Gravitational Physics
& School of Physics and Astronomy, Frontiers Science Center for TianQin, Gravitational Wave
Research Center of CNSA, Sun Yat-sen University (Zhuhai Campus), Zhuhai 519082, China.
2Shantou Jinshan Middle School, Shantou 515073, China
(Dated: October 25, 2022)
In this paper, we carry out a systematic study of the prospect of testing general relativity with
the inspiral signal of black hole binaries that could be detected with TianQin. The study is based
on the parameterized post-Einsteinian (ppE) waveform, so that many modified gravity theories
can be covered simultaneously. We consider black hole binaries with total masses ranging from
10 M107Mand ppE corrections at post-Newtonian (PN) orders ranging from 4PN to 2PN.
Compared to the current ground-based detectors, TianQin can improve the constraints on the ppE
phase parameter βby orders of magnitude. For example, the improvement at the 4PN and 2PN
orders can be about 13 and 3 orders of magnitude (compared to the results from GW150914),
respectively. Compared to future ground-based detectors, such as ET, TianQin is expected to
be superior below the 1PN order, and for corrections above the 0.5PN order, TianQin is still
competitive near the large mass end of the low mass range [10 M,103M] . Compared to the
future space-based detector LISA, TianQin can be competitive in the lower mass end as the PN order
is increased. For example, at the 4PN order, LISA is always superior for sources more massive
than about 30 M, while at the 2PN order, TianQin becomes competitive for sources less massive
than about 104M. We also study the scientific potentials of detector networks involving TianQin,
LISA and ET, and discuss the constraints on specific theories such as the dynamic Chern-Simons
theory and the Einstein-dilaton Gauss-Bonnet theory.
I. INTRODUCTION
Pushing the experimental limit on testing general
relativity (GR) is essential in helping find out the
breaking point of the century-old theory and reveal-
ing the deeper nature of gravity. GR has been tested
under a variety of conditions, such as with solar sys-
tem experiments and astrophysical observations [1],
yet no sure sign of beyond GR effect has been found
[2]. Gravitational waves (GWs) generated from the
very early universe or by extremely compact objects
such as black holes can help extend the realm of test-
ing GR to the genuinely strong field regime. Since the
first detection of GWs by LIGO [3,4], many tests of
GR have been carried out and all the GW data has
been found to be consistent with GR so far [514].
Space-based GW detection in the millihertz fre-
quency band enjoins rich types, large numbers, and
diverse spatial distributions of GW sources, and ex-
pects many GW signals that are large in magnitude
and/or long in duration [1517]. These factors make
the millihertz frequency band the golden band in GW
detection, bearing great importance in fundamental
physics [18], astrophysics [19] and cosmology [20]. So
for a space-based detector, it is of great importance
to study its potential in testing GR [21].
A difficulty in assessing the capability of a space-
based GW detector in testing GR is the lack of a
unique direction for the task. The success of GR
against experimental tests has resulted in a lack of
Email: meijw@sysu.edu.cn (Corresponding author)
effective guidance in the construction of modified
graivty theorys (MGs), leading to a rather diversified
literature that has to be navigated with the help of a
mathematical theorem (see, e.g. [22]). The many dif-
ferent types of GW signals expected for a space-based
detector only add to the complexity of the task.
There have been a few strategies to deal with the
problem. For example, one can focus on testing if
the detected GW signals are consistent with the pre-
dictions of GR, such as residual test, inspiral-merge-
ringdown coincidence test, polarization test, and so
on. One can also employ waveform models that use
a set of purely phenomenological parameters to sig-
nify possible deviation from GR and use the observed
data to place constraints on these parameters. Both
schemes have been used by the LIGO-Virgo-KAGRA
collaboration [58]. For more focused treatment, one
can use phenomenological waveforms that are tai-
lored to a chosen set of MGs, then one not only can
place constraints on several MGs simultaneously, but
can also translate the results to an individual MG if
needed. A good example here is the parameterized
post-Einsteinian (ppE) waveform [23], which is based
on the post-Newtonion (PN) approximation and is
most suitable for binary systems in their early inspiral
stage and with comparable component masses.
In this paper, we use the ppE waveform to carry
out a systematic study of the prospect of using Tian-
Qin to test GR. TianQin is a planned space-based
GW detector expected around 2035 [2427]. The tar-
get frequency band of TianQin is between 104Hz
and 1 Hz [28,29], and the expected sources include
galactic ultra-compact binary (GCB) [30], massive
black hole binary (MBHB) [31,32], intermediate-mass
arXiv:2210.13006v1 [gr-qc] 24 Oct 2022
2
black hole binary (IMBHB) [33], extreme mass ra-
tio inspiral (EMRI) [34], stellar-mass black hole bi-
nary (SBHB) [35], and stochastic gravitational wave
background (SGWB) [36]. There might also be unex-
pected sources [25,37]. A series of work has been car-
ried out to assess the scientific potential of TianQin,
such as on studying the astrophysical history of galax-
ies and black holes [30,31], the dynamics of dense star
clusters and galactic centers [34], the nature of gravity
and black holes [3842], the expansion history of the
universe [43,44], and the fundamental physics related
to the very early universe [4547]. This work is part
of the effort.
Apart from doing a broad test of GR by using the
ppE waveform, we study how the results look like for
individual MGs. For this purpose we use two theories
as examples: the dynamic Chern-Simons (dCS) the-
ory and the Einstein-dilaton Gauss-Bonnet (EdGB)
theory. There is no particular reason why these two
theories are chosen, apart from the fact that the ppE
waveforms are known in these theories.
We also carry out a parallel study of some other
detectors as a comparison and to figure out the scien-
tific potential of detector networks made of these de-
tectors. Important examples include the third gener-
ation ground-based detectors, Cosmic Explorer (CE)
[48] and Einstein Telescope (ET) [49], and the space-
based detector, LISA [50]. Since there have been re-
sults on the joint detection of TianQin and CE [51],
we focus on ET and LISA in this paper.
The paper is organised as following. In section II,
we summarise the main existing works that are related
to this one. In section III, we recall the basic results
on the ppE waveform. In Section IV, we present the
methods and key assumptions used in the calculations.
In sections Vand VI, we present our main findings.
The paper concludes with a summary in section VII.
Throughout this paper, we use the natural units in
which GN=~=c= 1 .
II. SUMMARY OF EXISTING RESULTS
A lot of works have already been done on using the
inspiral signals detected by the space-based detector
LISA to test GR. Early works included using sig-
nals from extreme mass ratio inspiral systems to test
the no-hair theorem [52,53] and using signals from
neutron stars inspiraling into intermediate-mass black
holes to test the Scalar-Tensor theory [54].
For systems with comparable component masses,
Berti et al. have considered using inspiral signals to
constrain the massive Brans-Dicke theory by introduc-
ing leading order corrections to the PN waveform [55].
Arun et al. have used a set of phenomenological phase
parameters (one for each PN order) to characterize
the deviation of an MG from GR [56] and placed con-
straints on these phenomenological phase parameters
[56,57]. This is the precursor to the ppE method [23],
which uses a new set of phenomenological parameters
to replace the phenomenological phase parameters, by
dividing out the corresponding velocity factor at each
PN order.
Connish et al. have studied how the ppE param-
eters can be constrained by future detectors, such as
aLIGO/aVirgo and LISA [58]. Huwyler et al. have in-
vestigated the potential of using LISA to constrain the
ppE phase parameter β, as to be defined in (2), with
MBHB [59]. The ppE formalism has also been used to
place constraints on specific MGs, such as Brans-Dicke
theory [60], Lorentz-Violating Gravity [61], G(t) the-
ory [62], and theories with massive gravitons, modified
dispersion relations or dipole radiation [6367].
After the direct detection of GWs, Yunes et al.
have analyzed the constraints on the ppE phase pa-
rameters using the GW190514 and GW151226 sig-
nals, and have translated the results to some spe-
cific MGs [14]. Chamberlain et al. have studied how
some future detectors (four possible configurations of
LISA, aLIGO, A+, Voyager, CE, and ET-D) can con-
strain the ppE phase parameter βand some MGs (in-
cluding dipole radiation, extra dimensions, G(t) the-
ory, Einstein-Æther theory, Khronometric gravity and
Massive graviton theory), by using some example GW
signals [68].
After the multiband work on SBHB by Sesana [69],
Barausse et al. have employed the ppE formalism to
show that the multiband observation with aLIGO and
LISA can improve the expected constraints on the
GW dipole radiation by 6 orders of magnitude [70],
Carson et al. have studied constraints on the ppE pa-
rameters with multiband observation using CE and
several space-based detectors (LISA, TianQin, DE-
CIGO and B- DECIGO) [51], and they have also ana-
lyzed the multiband enhancement on constraining the
EdGB theory and the IMR consistency test [71].
Comparing to these existing works, we will do a
more thorough exploration on how the constraints on
the ppE parameters will depend on different source
parameters, different detectors, different detection
schemes, and possibly, also different detector net-
works.
III. THE PARAMETERIZED
POST-EINSTEINIAN WAVEFORM
Black holes binaries are ideal systems for testing
GR, for the strong field condition they can provide and
for the less of environmental contamination that often
affects other astrophysical systems. The evolution of
a black hole binary can be divided into three phases:
inspiral, merger, and ringdown. During the inspiral
phase, the two components of the system start widely
separated and their velocities are relatively small. The
corresponding waveforms can be well modeled through
the PN approximation for systems with comparable
component masses. In GR, the frequency domain
3
waveform is given by
hGR(f) = A(f)e(f),
ψ(f)=2πtc+φc+ Σ
k=0φPN
ku(k5)/3,(1)
where fis frequency, A(f) is the amplitude, tcand φc
are the coalescence time and phase, respectively, u=
(πMf)1/3is a characteristic velocity, M=η3/5M
is the chirp mass, M=m1+m2is the total mass,
η=m1m2/(m1+m2)2is the symmetrical mass ratio,
and φPN
kis the phase coefficient at the (k/2)PN order.
Note φPN
kis completely determined by the source pa-
rameters for a binary black hole system [72].
The ppE waveform has been proposed [23] to study
MGs whose inspiral waveform has the same PN struc-
ture as (1). The difference between a given MG and
GR resides in how the amplitude and the coefficients
φPN
kdepend on the source parameters. Suppose the
MG correction only happens at a particular PN or-
der or keeping only the leading order correction, the
waveform is given by
hppE(f) = hGR(f)(1 + αua)eiβub,(2)
where αand βare the ppE parameters, and aand b
are the ppE order parameters, satisfying
b= 2 PN 5, a =b+ 5 .(3)
GR is recovered with α=β= 0 .
The original work of [23] has only considered the
two GW polarization modes found in GR and has fo-
cused on quasi-circular orbits for the black hole bi-
naries. Extensions have been made to include extra
polarization modes [73], time domain waveforms [74],
eccentricity [75] and environmental effect [76]. For any
particular MG, the relation between the theory and
the ppE parameter can be established by calculating
corrections to the evolution of the binary orbits [77].
In this way, the ppE parameters have been calculated
for a series of theories, such as Brans-Dicke gravity
[60], screened modified gravity [78], parity-violating
gravity [79], Lorentz-violating gravity [80], noncom-
mutative gravity [81], and quadratic modified gravity
[82]. For the EdGB and dCS theories that will be con-
sidered in this paper, the ppE parameters have also
been calculated [82].
The leading order modification from EdGB starts
at the 1PN order, corresponding to b=7 and
a=2. The ppE parameters are [82]:
αEdGB =5ζEdGB
192
(m2
1˜s2m2
2˜s1)2
M4η18/5,
βEdGB =5ζEdGB
7168
(m2
1˜s2m2
2˜s1)2
M4η18/5,(4)
where ζEdGB 16π¯α2
EdGB/M 4, ¯αEdGB is the coupling
between the scalar field and quadratic curvature term
in the theory [83], and ˜sn2(p1χ2
n1 + χ2
n)2
n,
n= 1,2, is the spin-dependent scalar charge of the n-
th component, with χnbeing the effective spin. The
current best constraint on the theory comes from the
observation of GW200115, giving p|¯αEdGB|<1.3 km
[84].
The leading order modification from dCS starts at
the 2PN order, corresponding to b=1 and a= 4.
The ppE parameters are [77,82]:
αdCS =57713η14/5ξdCS
344064 h114976η
57713 χ2
a
+1215876η
57713 χ2
s2δmχaχsi,
βdCS =1549225η14/5ξdCS
11812864 h116068η
61969 χ2
a
+1231808η
61969 χ2
s2δmχaχsi,(5)
where δm(m1m2)/M ,χs= (χ1+χ2)/2 ,
χa= (χ1χ2)/2 , ξdCS 16π¯α2
dCS/M 4, and ¯αdCS
is the coupling constant of the Chern-Simons correc-
tion [85]. The current best constraint on the theory
comes from the observation of neutron star systems,
giving ¯αdCS <8.5 km [86]. So far one is unable to
place a meaningful constraint on the dCS theory using
GW data directly, due to a lack of viable waveform.
IV. METHODS AND ASSUMPTIONS
We use the Fisher information matrix (FIM)
method to estimate the constraints on the ppE pa-
rameters αand β, and on the theory specific couplings
¯αEdGB and ¯αdCS . The whole parameter space is given
by
~
θ={M, η, DL, tc, φc, χ1, χ2, θnonGR},(6)
where DLis the luminosity distance, and θnonGR
stands for the non-GR parameters such as α,β,
¯αEdGB and ¯αdCS .
Assuming large signal-to-noise ratio (SNR) and
Gaussian noise, the uncertainties in the waveform pa-
rameters are characterized by
θaphθaθai ≈ p1)aa ,(7)
where h. . . istands for statistical average and Γ1, the
covariance matrix, is the inverses of FIM [87,88],
Γab =h
θa
h
θb.(8)
When a signal is observed by multiple detectors si-
multaneously, the combined FIM is
Γtotal
ab = Γ(1)
ab + Γ(2)
ab +. . . , (9)
where 1,2, . . . denote different detectors.
The inner product in (8) is defined as
(p|q)2Zfhigh
flow
p(f)q(f) + p(f)q(f)
Sn(f)df , (10)
where Sn(f) is the sensitivity of the detector. The
low- and high-frequency cutoffs are taken to be:
flow = max hfPN
low , fD
lowi,
fhigh = min hfISCO , f D
highi,(11)
4
where fD
low and fD
high mark the end points of the sen-
sitivity band of the detector, fISCO = (63/2πM)1
is the frequency at the innermost stable circular or-
bit (ISCO), and
fPN
low = (8πη3/5M)1(5η3/5M/Tob)3/8(12)
is determined by the total observation time Tob . In
this paper, we will take Tob to be the length of time
from the beginning of the observation to the moment
when the binaries reach ISCO.
For the detectors we consider TianQin [28], LISA
[89], ET [49], and the twin constellation configuration
of TianQin [31,38]. The sky averaged Michelson sen-
sitivity of TianQin can be modeled as [28,31],
Sn(f) = 10
3h1 + 2fL0
0.41 2iSN(f),(13)
where we use the following noise model [28,30,36]:
SN(f) = 1
L2
0h4Sa
(2πf)41 + 104Hz
f+Sxi.(14)
Here L0=3×108m is the arm length, Sa=
1×1015 m/s2/Hz1/2is the residual acceleration on
each test mass, and Sx= 1 ×1012 m/Hz1/2is
the displacement measurement noise in each laser link.
The sensitivity band of the detectors are chosen as
fD
low = 104Hz , fD
high = 1 Hz ,for TianQin ,
fD
low = 106Hz , fD
high = 1 Hz ,for LISA ,
fD
low = 1 Hz , fD
high = 104Hz ,for ET .(15)
All detectors are limited to one year of operation,
except in part of subsection V A, when the effect of
Tob is discussed. For TianQin, all binaries used in the
calculation are assumed to reach their ISCOs right
when TianQin finishes a 3 month observation (except
in subsection V B, which is dedicated to cases when
ISCOs are reached when TianQin is in between obser-
vation time windows). So only the last 0 3 months
and 6 9 months data will be used for TianQin. The
frequency bounds in the integrals are modified accord-
ingly.
The GR waveform hGR in (2) is generated using
IMRPhenomD [90,91]. We take tc= 0, φc= 0,
χ1= 0.4 and χ2= 0.2 in all the calculations, and we
only consider ppE corrections starting from the PN
orders in {−4PN, 3.5PN, ···, 2PN}, corresponding
to b[13,1] , and black hole binaries with total
masses in the range [10 M,107M] . Only sources
in the lower mass end will be observable by ET, so we
roughly divide the mass range into two sectors: the
low mass range, M[10 M, 103M] , and the high
mass range, M[103M, 107M] . All plots in
this paper will be made separately for these two mass
ranges.
A laser interferometer type detector is more sensi-
tive to the phase of a GW signal, so the ppE parameter
βis more severely constrained, while only in limited
cases that the effect of the parameter αis not negli-
gible [92]. So for most part of the discussion, we will
focus on the constraints on β, while only in subsection
VI B that we will discuss the effect of the amplitude
correction parameter α.
V. PROJECTED CONSTRAINTS ON β
In this section, we discuss the expected constraints
on the ppE parameter β. Our main findings are the
following.
A. What kind of sources are the best for
constraining β?
Although all components of the FIM contribute to
Eq.(7), the dominant contribution comes from
Γ(b)
ββ =h
β
h
β = 4 Zfhigh
flow
u2bhGRh
GR
Sn(f)df
'5π2b4/3
24D2
L
η(5+2b)/5M(5+2b)/3
×Zfhigh
flow
f(2b7)/3
Sn(f)df . (16)
One can see that M,η,DLand Tob are the main pa-
rameters affecting the constraints on β, and the effect
may differ for different PN orders. The luminosity
distance DLcontributes rather trivially through an
overall scaling,
β=q1)ββ DL,(17)
and so we will not consider it any longer.
The total mass contributes to ∆βthrough two
places. One is through the factor,
β(b)q1
(b))ββ M(5+2b)/6,(18)
which improves with Mmonotonically for b=2,1
and worsens with Mmonotonically for b < 2 .1The
other is through the bounds in the integral,
β(b)Zfhigh
flow
f(2b7)/3df
Sn(f)1/2
,(19)
which does not have a clear trend and is different for
different detectors.
The dependences of ∆βon Mat different PN orders
are shown in FIG. 1and FIG. 2. For all the plots, we
take DL= 500 Mpc, η= 0.22 for sources in the low
mass range, and DL= 15 Gpc, η= 0.22 for sources
in the high mass range.
One can see that the impact of the total mass on
the constraint can be significant. For example, at the
1Here “improve” means that the value of ∆β(b)is decreasing,
and “worsen” means that the value of ∆β(b)is increasing.
摘要:

TestinggeneralrelativitywithTianQin:theprospectofusingtheinspiralsignalsofblackholebinariesChangfuShi,1MujieJi,1,2Jian-dongZhang,1andJianweiMei1,1MOEKeyLaboratoryofTianQinMission,TianQinResearchCenterforGravitationalPhysics&SchoolofPhysicsandAstronomy,FrontiersScienceCenterforTianQin,GravitationalW...

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Testing general relativity with TianQin the prospect of using the inspiral signals of black hole binaries Changfu Shi1Mujie Ji1 2Jian-dong Zhang1and Jianwei Mei1.pdf

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