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Article

Limitations in Testing the Lense–Thirring Effect with LAGEOS and the Newly Launched Geodetic Satellite LARES 2

Ministero dell’Istruzione e del Merito, Viale Unità di Italia 68, I-70125 Bari, Italy
Universe 2023, 9(5), 211; https://doi.org/10.3390/universe9050211
Submission received: 4 April 2023 / Revised: 25 April 2023 / Accepted: 26 April 2023 / Published: 28 April 2023
(This article belongs to the Special Issue Universe: Feature Papers 2023—Gravitation)

Abstract

:
The new geodetic satellite LARES 2, cousin of LAGEOS and sharing with it almost the same orbital parameters apart from the inclination, displaced by 180 deg, was launched last year. Its proponents suggest using the sum of the nodes of LAGEOS and of LARES 2 to measure the sum of the Lense–Thirring node precessions independently of the systematic bias caused by the even zonal harmonics of the geopotential, claiming a final ≃0.2 percent total accuracy. In fact, the actual orbital configurations of the two satellites do not allow one to attain the sought for mutual cancellation of their classical node precessions due to the Earth’s quadrupole mass moment, as their sum is still ≃5000 times larger than the added general relativistic rates. This has important consequences. One is that the current uncertainties in the eccentricities and the inclinations of both satellites do not presently allow the stated accuracy goal to be met, needing improvements of 3–4 orders of magnitude. Furthermore, the imperfect knowledge of the Earth’s angular momentum S impacts the uncancelled sum of the node precessions, from 150 to 4900 percent of the relativistic signal depending on the uncertainty assumed in S. It is finally remarked that the real breakthrough in reliably testing the gravitomagnetic field of the Earth would consist in modeling it and simultaneously estimating one or more dedicated parameter(s) along with other ones characterising the geopotential, as is customarily performed for any other dynamical feature.

1. Introduction

To the first post-Newtonian (1pN) level, the gravitational field of an isolated, slowly rotating body of mass M has a non-central, magnetic-like component, dubbed as “gravitomagnetic” and sourced by its angular momentum1 S.
Actually, such a denomination has nothing to do with electric charges and currents; it is only due to the formal resemblance of the linearised equations of the general theory of relativity (GTR), in its weak-field and slow-motion approximation, with the Maxwell equations of electromagnetism. In this general relativistic framework, the paradigm of “gravitoelectromagnetism” arose [1,2,3,4,5,6,7,8,9,10,11,12,13]. It encompasses a series of entirely gravitational phenomena affecting orbiting test particles, precessing gyroscopes, moving clocks and atoms, and propagating electromagnetic waves [14,15,16,17,18,19].
General relativistic gravitomagnetism should play a major role in several complex processes which take place near spinning black holes and involve accretion disks and relativistic jets [4,20,21,22,23,24,25,26,27,28]. In addition, various hypothesised effects such as the Penrose process [29,30,31], the Blandford–Znajek effect [32], and superradiance [33] are attributable to the gravitomagnetic field of a rotating black hole; see [34] and references therein. Thus, it is important to experimentally check such a consequence of the GTR in as many different scenarios as possible in a reliable way, in order to extrapolate its validity to other realms, in which it is much more difficult and uncertain to test it.
In particular, the gravitomagnetic field of a localized spinning mass causes the orbital plane Π of a test particle circling it to secularly precess independently of the inclination I of Π to the body’s equator according to
Ω ˙ LT = 2 G S c 2 a 3 1 e 2 3 / 2 ;
this is known as the Lense–Thirring (LT) effect [35,36], despite recent studies [37,38,39] showing that it should be more appropriately renamed as the Einstein–Thirring–Lense effect. In Equation (1), Ω is the satellite’s longitude of the ascending node, which determines where Π intersects the body’s equatorial plane, c is the speed of light in vacuum, G is the Newtonian constant of gravitation, and a and e are the satellite’s semimajor axis and eccentricity, respectively. In fact, the argument of the pericentre ω of the test particle also undergoes a secular LT precession [35,36]
ω ˙ LT = 6 G S cos I c 2 a 3 1 e 2 3 / 2 ;
it is not treated here since such an orbital element turns out to be heavily perturbed by several non-gravitational perturbations [40], especially for a geodetic, passive spacecraft whose orbit is almost circular [41,42]. Instead, the node is rather insensitive to the non-conservative accelerations [41,43,44]. It is worth mentioning that, for an arbitrary orientation of the spin axis k ^ of the central body in space, the inclination experiences an LT precession I ˙ LT [45]; it vanishes in a coordinate system where one axis is aligned with the spin of the rotating mass.
A major competing effect of classical origin is caused by the even zonal harmonic coefficients J , = 2 , 4 , of the multipolar expansion of the Newtonian gravitational potential of the source body, accounting for its departures from spherical symmetry [46]
U = G M r 1 = 2 J R r P k ^ · r ^ .
In Equation (3), R is the body’s equatorial radius, while P is the Legendre polynomial of degree , whose argument is the cosine of the angle between k ^ and the position vector r of the test particle. Indeed, the even zonals induce secular node precessions Ω ˙ J whose nominal values are usually several orders of magnitude larger than the LT ones; for a calculation of Ω ˙ J up to the degree = 20 , see [47]. The largest one is due to the first even zonal harmonic J 2 ; this is [46]
Ω ˙ J 2 = 3 2 n b J 2 R a 2 cos I 1 e 2 2 ,
where n b G M / a 3 is the satellite’s mean motion.
From Equation (4), it can be noted that Ω ˙ J 2 depends on I in such a way that for two satellites A and B, ideally with the same orbital elements, apart from their orbital planes being exactly inclined 180 deg one from each other, the sum of their classical node precessions Ω ˙ J 2 A + Ω ˙ J 2 B cancels out, while the LT precessions add up. The same holds for the higher degrees, since it turns out that Ω ˙ J , = 4 , 6 , 8 , are proportional to Ω ˙ J 2 through linear functions of even powers of sin I [47]; as an example, for = 4 one has [47]
Ω ˙ J 4 = Ω ˙ J 2 J 4 J 2 5 8 R a 2 1 + 3 2 e 2 1 e 2 2 7 sin 2 I 4 .
Such a distinctive property of the classical and LT node precessions was remarked on, for the first time, by van Patten and Everitt in 1976 [48,49] in the case of two counter-orbiting spacecraft with the same orbital parameters; it is essentially the same as for the previously mentioned “butterfly” orbital configuration, or critical supplementary orbit configuration, in which the inclinations of the two satellites are displaced by 180 deg , all the other orbital elements being the same. Van Patten and Everitt [48,49] considered the sum of the nodes of both their counter-revolving satellites to be endowed with drag-free apparatus, counterbalancing the disturbing non-gravitational accelerations. Ciufolini et al. [50], referring to an earlier proposal [51] equivalent to the strategy proposed by van Patten and Everitt [48,49], intend to exploit the previously mentioned feature of the Newtonian and relativistic node rates to accurately measure the sum of the LT node precessions of the Earth’s geodetic satellites LAGEOS (L) and LARES 2 (LR 2), both tracked with the satellite laser ranging (SLR) technique [52]. It is worth noting that the idea of using artificial satellites to measure the LT effect in the field of the Earth dates back to the pioneering works by Ginzburg and Bogorodskii in the 1950s [53,54,55], while using L and other SLR satellites existing at the time was proposed for the first time by Cugusi and Proverbio in 1978 [56]. Ciufolini et al. [50] state that they will be able to finally reach a total accuracy as low as ≃0.2 percent. Ciufolini and coworkers have started to use L, put into orbit in 1976, and other laser geodetic satellites of the same kind [57] launched over the following years (LAGEOS 2, LARES), to measure the LT effect since 1996 [58], always claiming accuracies which were often questioned by subsequent studies by other authors [59,60,61,62,63,64]; such a controversy is still lingering; see, e.g., [62] and references therein. It may be interesting to note that, at least in principle, the critical supplementary orbit configuration would work well by looking also at the perigee. Indeed, in this case, the classical apsidal shifts are identical [47], while the LT ones are equal and opposite in sign, as per Equation (2). Thus, the difference of the perigee precessions would allow one to ideally cancel out the bias due to the geopotential and, at the same time, to add up the LT rates [65]. However, such a proposal may not be effective for geodetic, passive spacecraft, because of the impact of the non-gravitational perturbations sensibly affecting the perigee, contrary to the node.
A so far unquestioned measurement of another gravitomagnetic effect in the field of the Earth, with a quite expensive, dedicated spaceborne experiment, was performed by the Gravity Probe B (GP-B) mission [66], whose timeframe, ranging from its early conception to the release of its final results, lasted for about 40 years, at a cost of about USD 750 million [67]. It measured the Pugh–Schiff precessions [68,69] of the axes of four gyroscopes carried onboard to an accuracy of the order of 19 percent [70], despite its originally expected level of about 1 percent [71]. For an overview of other proposed LT tests with natural or artificial bodies in the solar system, see [59] and references therein. A successful detection of the gravitomagnetic orbital precession of the inclination of the binary system PSR J1141-6545 [72], made of a white dwarf and a pulsar, was recently claimed [73]; later analysis raised concerns about such a test [74]. Attempts to measure the gravitomagnetic periastron precession of the double pulsar PSR J0737-3039A/B [75,76] in the future are underway [77,78]. Evidence for manifestations of the gravitomagnetic field in the strong-field regime was often claimed over the years. Gravitomagnetism could be responsible for the quasi-periodic oscillations in X-ray binaries [79,80,81]. The Lense–Thirring precession induced by a slowly rotating compact object could be compatible with the daily variations in the ejecta angle observed in the microquasar LS I + 61 303 [82]. It was recently reported that the observed quasi-periodic modulation of the iron line centroid energy in the microquasar H1743-322 [83] may be produced by the Lense–Thirring effect [84]. In general, the reliability and accuracy of such tests is difficult to reliably assess because of the relatively poor knowledge of the astrophysical environments in which the phenomena of interest take place.
In this paper, it is shown that the claims by Ciufolini et al. [50] of ≃0.2 percent accuracy allegedly obtainable with L and LR 2 are definitely unrealistic. In Section 2 it is demonstrated that the sum of the Newtonian node precessions of L and LR 2 is far from vanishing, given the actual orbital configurations of both the satellites. Section 3 is dedicated to the impact of the orbital injection errors on the uncancelled sum of the satellites’ node shifts, while in Section 4 the consequences of the imperfect knowledge of the Earth’s angular momentum on the proposed measurement are treated. A major drawback common to all the analyses performed so far by Ciufolini and coworkers is pointed out in Section 5. Section 6 summarises the findings of the paper, and conclusions are offered.

2. How Accurate Is the Cancellation of the Effect of the Earth’s J 2 on the Sum of the Nodes?

From Equations (1) and (4), one can derive the following ratio of the sums of the classical to the relativistic node precessions of L and LR 2
R J 2 Ω ˙ J 2 L + Ω ˙ J 2 LR 2 Ω ˙ LT L + Ω ˙ LT LR 2 = 3 c 2 J 2 R 2 M 4 G S cos I L a L 7 / 2 1 e L 2 2 + cos I LR 2 a LR 2 7 / 2 1 e LR 2 2 2 1 a L 3 1 e L 2 3 / 2 + 1 a LR 2 3 1 e LR 2 2 3 / 2 .
Its smallness provides a measure of how accurate an LT test can be by summing up the node rates of both the spacecraft; in principle, it should vanish, giving an ideally clean measurement of the combined gravitomagnetic precessions.
The mean values of a , e , and I of L and LR 2 over 127 days are ([50], Table 1)
a L = 12270.020705 km ,
a LR 2 = 12266.1359395 km ,
e L = 0.00403 ,
e LR 2 = 0.00027 ,
I L = 109.8469 deg ,
I LR 2 = 70.1615 deg .
Concerning the removal of the competing effect of the Earth’s J 2 from the sum of the nodes of L and LR 2, Ciufolini et al. ([50], pp. 4–5) explicitly write: “The non-relativistic nodal drift of two satellites with supplementary inclinations, and with the same semimajor axis, is equal and opposite. So by properly adding the two secular nodal shifts, it will be possible to eliminate the dominant classical shift and to accurately measure the general relativistic node shift. […] Hence, by properly adding the shift of the nodes of the two satellites we achieve a measurement which is purely the frame dragging. […] For two satellites with supplementary inclinations, the elimination of the bias due to the even zonals in the test of frame-dragging is clearly shown by the well-known equation2 for the secular nodal drift of a satellite due to the even zonals. […] the largest nodal drift of an Earth satellite is by far due to the even zonal harmonic of degree two, the Earth quadrupole moment. […] the supplementary inclination of configuration of LARES 2 and LAGEOS effectively allow elimination of such a systematic bias”.
In fact, this seems not to be the case. Indeed, Equation (6), calculated with the values of Equations (7)–(12), yields
R J 2 = 4918 ,
that is, the sum of the nominal node precessions due to the first even zonal harmonic J 2 of the geopotential is still almost 5000 times larger than the sum of the theoretically predicted LT node precessions. This has a major impact on the evaluation of other systematic bias due to the errors in some of the parameters entering Equation (6), as is demonstrated in the next sections.

3. The Impact of the Orbit Injection Errors

A potentially major issue is represented by the impact of the orbit injection errors of LR 2 (and of L as well) which would bias the combined LT rates through the Newtonian oblateness-driven precessions. According to Ciufolini et al. ([50], Table 3), it would amount to less than 0.1 percent of the combined LT effect.
Again, this does not appear to be the case.
The J 2 -induced bias due to the orbit injection errors δ R inj can be (optimistically) calculated as
δ R inj = ξ R J 2 ξ δ ξ 2 , ξ = a L , a LR 2 , I L , I LR 2 , e L , e LR 2 ,
where δ ξ represents some measure of the known error in the orbital element ξ ; it is intended that Equation (14) must be calculated with the nominal value of J 2 , not with its uncertainty δ J 2 . From the number of significant digits quoted in ([50], Table 1) and reported in Equations (7)–(12), it can be argued that the errors in the orbital elements of L and LR 2 should be as follows:
δ a L 10 6 km = 1 mm ,
δ a LR 2 10 7 km = 0.1 mm ,
δ e L 10 5 ,
δ e LR 2 10 5 ,
δ I L 10 4 deg = 0.36 arcsec ,
δ I LR 2 10 4 deg = 0.36 arcsec .
By calculating Equation (14) with Equations (17) and (18), one obtains
δ R inj e 1.2 ,
corresponding to a ≃120 percent bias in the added LT rates; an improvement by 3 orders of magnitude in determining the satellites’ eccentricities would be needed to reach the 0.1 percent level claimed by Ciufolini et al. [50]. An even worse case occurs for the inclinations. Indeed, Equation (14), calculated with Equations (19) and (20), yields
δ R inj I 50.2 ,
corresponding to a ≃5000 percent error in the combined LT effect; the inclinations of the satellites’ orbital planes should be known 4 orders of magnitude better than now, i.e., with an accuracy as good as
δ I 0.036 milliarcseconds ( mas ) = 36 microarcseconds ( μ as ) .
In order to make a simple calculation about the possibility of actually improving Equations (17)–(20) by the required 3 4 orders of magnitude over a reasonable time span T, it can be assumed that the uncertainty δ κ with which any of κ = e L , e LR 2 , I L , I LR 2 can be determined goes as ≃1/ N T , where N T is the number of experimental determinations of κ during the time span T. Let us assume that we have calculated a value of κ from the processed data at the end of every orbital arc, which is typically 7 days long for satellites of the LAGEOS type. Thus, N yr 52 values of κ would be obtained after 1 yr, corresponding to a reduction of the error δ κ by a modest factor of N yr 7 . After 30 yr, δ κ would be reduced just by a factor in 30 × N yr = 40 . It is clear that making the uncertainties of Equations (17)–(20) smaller by a factor of 1000–10,000 over any reasonable temporal interval is unrealistic.

4. The Impact of the Uncertainty in the Earth’s Angular Momentum

Another major issue arising because of the too large value of Equation (6) is the uncertainty δ S in the Earth’s angular momentum S = I ω , where I is the moment of inertia (MoI) of the Earth, and ω is its angular speed. Actually, to the best knowledge of the author, δ S is not explicitly reported anywhere in the literature; nonetheless, plausible guesses for it can be inferred from the significant digits with which some relevant related quantities are quoted.
As an example, Ren et al. ([85], p. 2528) yield
I 8.04 × 10 37 kg m 2 ,
ω 7.29 × 10 5 s 1 ,
implying an uncertainty in the MoI of the order of
δ I 10 35 kg m 2 .
Thus, it can be inferred
S 5.86 × 10 33 kg m 2 s 1 ,
δ S 7.3 × 10 30 kg m 2 s 1 ,
corresponding to a relative uncertainty
δ S S 0.0012 .
Another way to approach the problem consists in looking at the Earth’s angular momentum per unit mass J ([86], p. 156)
J 9.8 × 10 8 m 2 s 1 .
Thus, it can be guessed
δ J 10 7 m 2 s 1 ,
yielding
δ J J = δ S S 0.010 .
Since I = α M R 2 , where α is the normalized moment of inertia (nMoI), or moment of inertia factor, the uncertainty in S can be inferred also from that of α . According to the NASA Space Science Data Coordinated Archive (NSSDC), it is3
α = 0.3308 .
Thus, by assuming
δ α 0.0001 ,
one obtains
δ α α = δ S S 0.0003 .
According to Equation (6), the systematic bias of J 2 in the combined LT node precessions due to the uncertainty in S is given by
δ R S = R J 2 δ S S ;
if the Newtonian oblateness-driven precessions canceled out to a sufficiently accurate level, δ R S would be negligible. Instead, the previously inferred guesses for the relative uncertainty in S, applied to Equation (36), yield quite large figures. Indeed, Equation (29) returns
δ R S 5.9 ,
corresponding to a systematic error in the LT combined signal as large as 590 percent. The bias corresponding to Equation (32) is even worse, amounting to
δ R S 49.2 ,
implying a staggering 4918 percent error in the added LT precessions. Instead, Equation (35) yields
δ R S 1.5 ,
which corresponds to a systematic uncertainty in the LT signature of about 150 percent.

5. Why Was the Gravitomagnetic Field of the Earth Neither Modeled nor Solved for?

From a practical point of view, the LT effect would be nothing more than one of the many other dynamic features, of various origins, entering the equations of motion of the satellites, and whose characteristic parameter(s) are to be estimated in the data reductions along with those describing the behaviour of measuring devices, the propagation of electromagnetic waves, the spacecraft’s state vector, etc. Indeed, the common practice in satellite geodesy, astrodynamics, and astronomy is that, to test a certain dynamical feature, X, it should be explicitly modelled along with the rest of the known dynamics and other pieces of the measurement process, and simultaneously one or more parameters characterising it should be estimated, along with many other ones, taking into account other accelerations, etc., and inspecting the resulting covariance matrix to look at their mutual correlations. Instead, inspecting some sort of “spurious” residuals, constructed without including X in the model’s fit to a given set of observations, is not a correct procedure, since a possible signature with almost the same features as the expected one may be due just to some fortunate partial mutual cancellation of other effects, having nothing to do with X itself. Furthermore, X may partly or totally be absorbed in the estimated values of other parameters solved for in the data reduction. In other words, the gravitomagnetic field of the Earth should be simultaneously estimated along with all the other coefficients characterising the geopotential, by using the same data sets, which may be varied from time to time by their extension, starting date, and type of observations.
On the contrary, for reasons unknown to the author, nothing like this has ever been performed: the Earth’s gravitomagnetic field has never been modeled, and no dedicated parameter(s) have ever been estimated, producing just time series of post-fit residuals of the satellites’ nodes 4, allegedly accounting in full for the unmodeled dynamics, which includes the LT acceleration as well. Another puzzling issue, is that there are several SLR stations scattered around the globe [87] where skilled teams of space geodesists routinely process laser ranging data from many geodetic satellites with a range of dedicated software [88]; yet, despite this, no one has ever tried to (correctly) perform LT tests independently of Ciufolini, or, if anyone has done so, they have not made their results public in the peer-reviewed literature. There are just some conference proceedings [89,90,91,92] in which the authors did not model and estimate the LT acceleration either. The same holds also for a few independent studies recently published in peer-reviewed journals by former coworkers of Ciufolini [93,94]. In principle, there should be nothing easier for so many competent and expert people worldwide than adding one more acceleration into the data reduction software and estimating one more parameter.

6. Summary and Conclusions

The orbital parameters of the newly launched laser-ranged geodetic satellite LARES 2 do not allow the canceling out of the sum of its classical oblateness-driven node precessions and those of its cousin LAGEOS; indeed, they still amount to about 5000 times the sum of the LT node rates.
This fact has relevant consequences on the overall systematic bias induced by the Earth’s quadrupole moment, due to the errors in other parameters entering the ratio of the sum of the precessions due to the sum of the LT ones.
The orbital injection errors in the eccentricities and the inclinations of the two satellites yields a ≃5000 percent systematic error in the combined LT signature. Improvements by 3–4 orders of magnitude in the determination of such orbital elements, unlikely to be attainable over any realistic time span, would be required.
In addition, the imperfect knowledge of the Earth’s angular momentum has a relevant impact on the ratio of the classical to relativistic summed precessions; depending on how its uncertainty is assessed, the systematic bias induced in the LT signal ranges from 150 to 5000 percent.
Recurring to the formalism of the Keplerian orbital elements may be useful for performing preliminary sensitivity analyses and to suitably design experiments. However, actual tests must, instead, be performed by modeling the dynamical feature one is interested in, and by estimating its characteristic parameter(s) along with the other ones, taking into account the rest of the dynamics in fitting dynamical and measurement models to the observations. As of now, this standard procedure has not yet been implemented, though it is common to all data reductions in satellite geodesy, geodynamics, astrodynamics, and astronomy.

Funding

This research received no external funding.

Data Availability Statement

Not applicable.

Acknowledgments

I gratefully thank two referees for their constructive remarks.

Conflicts of Interest

The author declares no conflict of interest.

Notes

1
In the following, its orientation in space will be assumed to be known with sufficient accuracy, as in the case of the Earth, so that a coordinate system with, say, the reference z axis aligned with it will be adopted.
2
It is Equation (4) of the present paper.
3
4
They are not even directly measurable quantities.

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Iorio, L. Limitations in Testing the Lense–Thirring Effect with LAGEOS and the Newly Launched Geodetic Satellite LARES 2. Universe 2023, 9, 211. https://doi.org/10.3390/universe9050211

AMA Style

Iorio L. Limitations in Testing the Lense–Thirring Effect with LAGEOS and the Newly Launched Geodetic Satellite LARES 2. Universe. 2023; 9(5):211. https://doi.org/10.3390/universe9050211

Chicago/Turabian Style

Iorio, Lorenzo. 2023. "Limitations in Testing the Lense–Thirring Effect with LAGEOS and the Newly Launched Geodetic Satellite LARES 2" Universe 9, no. 5: 211. https://doi.org/10.3390/universe9050211

APA Style

Iorio, L. (2023). Limitations in Testing the Lense–Thirring Effect with LAGEOS and the Newly Launched Geodetic Satellite LARES 2. Universe, 9(5), 211. https://doi.org/10.3390/universe9050211

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