Issue 
A&A
Volume 636, April 2020



Article Number  L5  
Number of page(s)  14  
Section  Letters to the Editor  
DOI  https://doi.org/10.1051/00046361/202037813  
Published online  16 April 2020 
Letter to the Editor
Detection of the Schwarzschild precession in the orbit of the star S2 near the Galactic centre massive black hole
^{1}
Max Planck Institute for Extraterrestrial Physics, Giessenbachstraße 1, 85748 Garching, Germany
^{2}
LESIA, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Université de Paris, 5 Place Jules Janssen, 92195 Meudon, France
^{3}
Max Planck Institute for Astronomy, Königstuhl 17, 69117 Heidelberg, Germany
^{4}
1st Institute of Physics, University of Cologne, Zülpicher Straße 77, 50937 Cologne, Germany
^{5}
Univ. Grenoble Alpes, CNRS, IPAG, 38000 Grenoble, France
^{6}
Universidade de Lisboa – Faculdade de Ciências, Campo Grande, 1749016 Lisboa, Portugal
^{7}
Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200465 Porto, Portugal
^{8}
European Southern Observatory, KarlSchwarzschildStraße 2, 85748 Garching, Germany
^{9}
European Southern Observatory, Casilla 19001, Santiago 19, Chile
^{10}
Max Planck Institute for Radio Astronomy, Auf dem Hügel 69, 53121 Bonn, Germany
^{11}
Sterrewacht Leiden, Leiden University, Postbus 9513, 2300 RA Leiden, The Netherlands
^{12}
Departments of Physics and Astronomy, University of California, Le Conte Hall, Berkeley, CA 94720, USA
^{13}
CENTRA – Centro de Astrofísica e Gravitação, IST, Universidade de Lisboa, 1049001 Lisboa, Portugal
^{14}
Department of Astrophysical & Planetary Sciences, JILA, University of Colorado, Duane Physics Bldg., 2000 Colorado Ave, Boulder, CO 80309, USA
^{15}
CERN, 1 Espl. des Particules, Genève 23 1211, Switzerland
^{16}
Department of Particle Physics & Astrophysics, Weizmann Institute of Science, Rehovot 76100, Israel
^{17}
Institute of Astronomy, Madingley Road, Cambridge CB3 0HA, UK
Received:
25
February
2020
Accepted:
4
March
2020
The star S2 orbiting the compact radio source Sgr A* is a precision probe of the gravitational field around the closest massive black hole (candidate). Over the last 2.7 decades we have monitored the star’s radial velocity and motion on the sky, mainly with the SINFONI and NACO adaptive optics (AO) instruments on the ESO VLT, and since 2017, with the fourtelescope interferometric beam combiner instrument GRAVITY. In this Letter we report the first detection of the General Relativity (GR) Schwarzschild Precession (SP) in S2’s orbit. Owing to its highly elliptical orbit (e = 0.88), S2’s SP is mainly a kink between the preand postpericentre directions of motion ≈±1 year around pericentre passage, relative to the corresponding Kepler orbit. The superb 2017−2019 astrometry of GRAVITY defines the pericentre passage and outgoing direction. The incoming direction is anchored by 118 NACOAO measurements of S2’s position in the infrared reference frame, with an additional 75 direct measurements of the S2Sgr A* separation during bright states (“flares”) of Sgr A*. Our 14parameter model fits for the distance, central mass, the position and motion of the reference frame of the AO astrometry relative to the mass, the six parameters of the orbit, as well as a dimensionless parameter f_{SP} for the SP (f_{SP} = 0 for Newton and 1 for GR). From data up to the end of 2019 we robustly detect the SP of S2, δϕ ≈ 12′ per orbital period. From posterior fitting and MCMC Bayesian analysis with different weighting schemes and bootstrapping we find f_{SP} = 1.10 ± 0.19. The S2 data are fully consistent with GR. Any extended mass inside S2’s orbit cannot exceed ≈0.1% of the central mass. Any compact third mass inside the central arcsecond must be less than about 1000 M_{⊙}.
Key words: black hole physics / Galaxy: nucleus / gravitation / relativistic processes
GRAVITY is developed in a collaboration by the Max Planck Institute for extraterrestrial Physics, LESIA of Observatoire de Paris/Université PSL/CNRS/Sorbonne Université/Université de Paris and IPAG of Université Grenoble Alpes/CNRS, the Max Planck Institute for Astronomy, the University of Cologne, the CENTRA – Centro de Astrofisica e Gravitação, and the European Southern Observatory.
© GRAVITY Collaboration 2020
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Open Access funding provided by Max Planck Society.
1. Introduction
Testing GR and the massive black hole paradigm. The theory of General Relativity (GR) continues to pass all experimental tests with flying colours (Einstein 1916; Will 2014). Highprecision laboratory and Solar System experiments, and observations of solarmass pulsars in binary systems (Kramer et al. 2006; Kramer 2016) have confirmed GR in the lowcurvature regime. Gravitational waves from several stellar mass, black hole (sBH) candidate inspirals with LIGO (Abbott et al. 2016) have tested the strongcurvature limit.
General Relativity predicts black holes, that is, spacetime solutions with a nonspinning or spinning central singularity cloaked by a communication barrier, an event horizon (cf. Schwarzschild 1916; Kerr 1965). The LIGO measurements currently provide the best evidence that the compact inspiralling binaries are indeed merging sBHs, but see Cardoso & Pani (2019).
Following the discovery of quasars (Schmidt 1963), evidence has been growing that most massive galaxies harbour a central compact mass, perhaps in the form of a massive black hole (MBH: 10^{6} − 10^{10} M_{⊙}, LyndenBell & Rees 1971; Kormendy & Ho 2013; McConnell & Ma 2013). Are these compact mass concentrations truly MBHs, as predicted by GR? Evidence in favour comes from relativistically broadened, redshifted iron Kα line emission in nearby Seyfert galaxies (Tanaka et al. 1995; Fabian et al. 2000), from stellar or gas motions very close to them (e.g., Moran et al. 1999), and high resolution millimetre imaging (Event Horizon Telescope Collaboration 2019).
The nearest MBH candidate is at the centre of the Milky Way (R_{0} ≈ 8 kpc, M_{•} ≈ 4 × 10^{6} M_{⊙}, Genzel et al. 2010; Ghez et al. 2008). It is coincident with a very compact and variable Xray, infrared, and radio source, Sgr A*, which in turn is surrounded by a very dense cluster of orbiting young and old stars. Radio and infrared observations have provided detailed information on the distribution, kinematics, and physical properties of this nuclear star cluster and hot, warm, and cold interstellar gas interspersed in it (cf. Genzel et al. 2010; Morris et al. 2012; Falcke & Markoff 2013). Groups in Europe at the ESO NTT & VLT and in the USA at the Keck telescopes have carried out highresolution imaging and spectroscopy of the nuclear star cluster over the past two and a half decades. They determined increasingly precise motions for more than 10^{4} stars, and orbits for ≈50 (Schödel et al. 2002, 2009; Ghez et al. 2003, 2008; Eisenhauer et al. 2005; Gillessen et al. 2009a, 2017; Meyer et al. 2012; Boehle et al. 2016; Fritz et al. 2016). These orbits, in particular the highly eccentric orbit of the m_{K} ≈ 14 star S2 (or “S02” in the UCLA nomenclature), have demonstrated that the gravitational potential is dominated by a compact source of 4.25 × 10^{6} M_{⊙}, concentrated within the pericentre distance of S2. S2 appears to be a slowly rotating, single, mainsequence Bstar of age ≈ 6 Myr (Martins et al. 2008; Habibi et al. 2017; GRAVITY Collaboration 2017; Chu et al. 2018).
The location of the radio source Sgr A* coincides with that of the mass centroid to much better than 1 mas (Plewa et al. 2015; Sakai et al. 2019). Millimetre Very Long Baseline Interferometry (Falcke et al. 2000; Doeleman et al. 2008; Johnson et al. 2017; Issaoun et al. 2019) shows that Sgr A* has a 1.3 mm halflight radius smaller than 18 μas, or 1.8 times the Schwarzschild radius (R_{S}) of a 4.25 × 10^{6} M_{⊙} MBH. Sgr A* shows no detectable intrinsic motion within the international celestial reference frame ICRF. This supports the interpretation that the compact radio source is coincident with the mass (Reid & Brunthaler 2004, 2020; Reid et al. 2009). The Galactic centre (GC) currently provides the best “laboratory” for testing GR near MBHs and ultimately for testing the MBH paradigm (Alexander 2005, 2017; Genzel et al. 2010; Psaltis et al. 2016).
Detection of GR effects in the orbits of stars around Sgr A*: Gravitational redshift. Following the observations of the pericentre passage of S2 in 2002.33 (Schödel et al. 2002; Ghez et al. 2003) it became clear that the firstorder (O(β^{2}), β = v/c) GReffects of the orbit may be in reach of precision observations. These are the gravitational redshift (RS) PPN1_{RS}(λ), and the Schwarzschild precession (SP) PPN1_{SP}(x, y), see Rubilar & Eckart (2001), Zucker et al. (2006), Angélil et al. (2010), Angélil & Saha (2014), Grould et al. (2017), and Parsa et al. (2017). For this purpose, a significant (factor 4 − 10) improvement in astrometry compared to what was possible in 2010 was needed. We achieved this goal with the development of GRAVITY, a cryogenic, interferometric beam combiner of all four UTs of the ESO VLT, along with adaptive optics (AO) systems for all four UTs, and a laser metrology system (GRAVITY Collaboration 2017).
On May 19, 2018 (2018.38), S2 passed pericentre at 120 AU (≈1400 R_{S}) with an orbital speed of 7700 km s^{−1} (β = 0.026). From monitoring the star’s radial velocity and motion on the sky from data taken prior to and up to two months after pericentre, GRAVITY Collaboration (2018a) were able to detect the first postNewtonian effect of GR, the gravitational redshift, along with the transverse Doppler effect of special relativity (SRT, Misner et al. 1973). GRAVITY Collaboration (2019) improved the statistical robustness of the detection of the RS to f_{RS} = 1.04 ± 0.05, where the dimensionless parameter f_{RS} is 0 for Newtonian orbits and 1 for GRorbits. Do et al. (2019) confirmed these findings from a second, independent data set mainly from the Keck telescope, f_{RS} = 0.88 ± 0.17.
The combined PPN1_{RS}(λ) gravitational redshift and transverse Doppler effect are detected as a 200 km s^{−1} residual centred on the pericentre time, relative to the f_{RS} = 0 orbit (with the same other parameters describing the star’s orbit and the gravitational potential). While the RS occurs solely in wavelengthspace, the superior astrometric capabilities of GRAVITY serve to set much tighter constraints on the orbital geometry, mass and distance, thus decreasing the uncertainty of f_{RS} more than three times relative to data sets constructed from singletelescope, AO imaging and spectroscopy.
In the following we report the first measurement of the next relativistic effect in the orbit of S2, namely the inplane, prograde precession of its pericentre angle, the Schwarzschild precession (Misner et al. 1973).
2. Observations
Following on from GRAVITY Collaboration (2018a, 2019), we expand in this Letter our analysis of the positions and Kband spectra of the star S2 by another year, to fall of 2019. This yielded 5 additional NACO points, 6 SINFONI points and, especially, 11 crucial GRAVITY points. We now have
– 118 measurements with the VLT AOassisted infrared camera NACO (Lenzen et al. 1998; Rousset et al. 1998) between 2002 and 2019.7 of the position of S2 in the K or H bands, relative to the “Galactic Centre infrared reference system” (Plewa et al. 2015, rms uncertainty ≈400 μas). This means that between the 2002.33 pericentre passage until 2019.7 we have 7 to 16 NACO positional measurements per year. Between 1992 and 2002, we also used the speckle camera SHARP at the NTT (Hofmann et al. 1993), but the astrometry of the speckle data on a 3.5 m telescope is an order of magnitude worse than the AO imagery on the 8 m VLT (rms uncertainty ≈3.8 mas);
– 75 NACO measurements between 2003.3 and 2019.7 of the direct S2Sgr A* separation during bright states of Sgr A* (typical rms uncertainty 1.7 mas);
– 54 GRAVITY measurements between 2016.7 and 2019.7 of the S2Sgr A* separation (rms uncertainty ≈65 μas). During the pericentrepassage year 2018, the sampling was especially dense with 25 measurements;
– 92 spectroscopic measurements of the 2.167 μm HI (Brγ) and the 2.11 μm HeI lines between 2003.3 and 2019.45 with the AOassisted integral field spectrometer SINFONI at the VLT (Eisenhauer et al. 2003; Bonnet et al. 2003), with an uncertainty of ≈12 km s^{−1} (GRAVITY Collaboration 2019). This means that we typically have 3 to 6 spectroscopic measurements per year, and more than 20 in 2018. We also added 2 more NACO AO slit spectroscopic measurements from 2003, and 3 more KeckNIRC2 AO spectroscopic measurements between 2000 and 2002 (Do et al. 2019).
The SHARP and NACO data deliver relative positions between stars in the nuclear star cluster, which are then registered in the radio frame of the GC (Reid et al. 2009; Reid & Brunthaler 2020) by multiepoch observations of nine stars in common between the infrared and radio bands. Another important step is the correction for spatially variable image distortions in the NACO imager, which are obtained from observations of an HSTcalibrated globular cluster (Plewa et al. 2015). The radio calibrations still allow for a zeropoint offset and a drift of the radioreference frame centred on Sgr A* (strictly speaking, on the masscentroid) with respect to the infrared reference frame, which we solve for empirically in our orbit fitting. For this purpose, we use the Plewa et al. (2015) radiotoinfrared reference frame results as a prior (x_{0} = −0.2 ± 0.2 mas, y_{0} = 0.1 ± 0.2 mas, vx_{0} = 0.05 ± 0.1 mas yr^{−1}, vy_{0} = 0.06 ± 0.1 mas yr^{−1}). These reference frame parameters (x_{0}, y_{0}, vx_{0}, and vy_{0}) are now the limiting factor in the precision of the detection of the SP of S2.
The situation is different for GRAVITY. Here we detect and stabilise the interferometric fringes on the star IRS16C located ≈1″ NE of Sgr A*, and observe S2 or Sgr A* within the second phasereferenced fibre (see GRAVITY Collaboration 2017), such that the positional difference between S2 and Sgr A* can be determined to < 100 μas levels (see Appendix A.1). To obtain this accuracy, the measurements of S2 and Sgr A* are made within a short time interval and linked together interferometrically (Appendix A.2). Between the end of 2017 and throughout 2018, S2 and Sgr A* are simultaneously detected in a single fibrebeam positioning as two unresolved sources in > 95% of our individual integrations (5 min each), such that the S2Sgr A* distance is even more directly obtained in each of these measurements (Appendix A.3). The development over time of the astrometric and spectroscopic measurement uncertainties are summarised in Fig. A.3. For more details on the data analysis of all three instruments we refer to GRAVITY Collaboration (2017, 2018a,b, 2019) and Appendix A.
3. Results
3.1. Schwarzschild precession in the S2 orbit
Figure 1 shows the combined singletelescope and interferometric astrometry of the 1992−2019 skyprojected orbital motion of S2 and the lineof sight velocity of the star. The almost 100fold improvement of statistical astrometric measurement precision in the past 27 years is one key for detecting the SP in the S2 orbit. As discussed in Sect. 2, the accurate definition of the reference frame for the NACO data is the second key. The robustness of the detection of the SP strongly correlates with the precision of knowing (x_{0}, y_{0}, vx_{0}, and vy_{0}), as this sets the angle of the orbit at the last apocentre (2010.35). Using the priors from Plewa et al. (2015), we fitted these four reference frame parameters in our posterior fitting, but we found the additional constraints obtained from Sgr A*S2 flare offsets in NACO to be very helpful. To this end, we included in the calculation of χ^{2} the constraint that the flare positions are tracing the mass centre.
Fig. 1. Summary of the observational results of monitoring the S2Sgr A* orbit from 1992 to the end of 2019. Left: SHARP, NACO (black points), and GRAVITY (blue points) astrometric positions of the star S2, along with the bestfitting GR orbit (grey line). The orbit does not close as a result of the SP. The mass centre is at (0,0), marked by the cross. All NACO and SHARP points were corrected for a zeropoint offset and drift in RA and Dec. The red data points mark the positions of the infrared emission from Sgr A* during bright states, where the separation of S2 and Sgr A* can be directly inferred from differential imaging. Right: RA (top) and Dec (middle) offset of S2 (black and blue) and of the infrared emission from Sgr A* (red) relative to the position of Sgr A* (assumed to be identical with the mass centre). Grey is the bestfitting GRorbit including the Rømer effect (finite speed of light), SRT, and GR to PPN1. We assumed f_{RS} = 1 and fitted for f_{SP}. Bottom right: same for the lineofsight velocity of the star. 

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Confusion of S2 with nearby other sources is the final key issue (see also Gillessen et al. 2009a, 2017; Plewa & Sari 2018; Do et al. 2019). Ghez et al. (2003) and Schödel et al. (2002) already have noted that the NACO or NIRC2 AO astrometry at times was unreliable and biased over longer periods of time (0.5 − 1.5 years). These systematic position excursions are mainly caused by confusion, that is, the positional pulling of the apparent sky position of S2 by a passing nearby background object. This issue is especially detrimental when the variable Sgr A* emission source is within the diffraction limit of the telescope (Ghez et al. 2003, 2008; Plewa & Sari 2018; Do et al. 2019), making the 2002 and 2018 AO astrometry more uncertain or even unusable. Fortunately, GRAVITY removed any need for AO imagery during the 2018 pericentre passage, therefore we excised most of the 2002 and 2018 NACO astrometry from our data set. We identified further confusion events with fainter stars passing close to S2 on a number of occasions (e.g., 1998, 2006, and 2013/2014) and removed these questionable data points.
At pericentre R_{peri}, S2 moves with a total space velocity of ≈7700 km s^{−1}, or β = v/c = 2.56 × 10^{−2}. The SP of the orbit is a firstorder (β^{2N}, N = 1) effect in the parametrised postNewtonian (PPN, cf. Will & Nordtvedt 1972) expansion, PPN(1) ≈ β^{2} ≈ R_{S}/R_{peri} ≈ 6.6 × 10^{−4}. We used the postNewtonian expansion of Will (2008) and added a factor f_{SP} in the equation of motion in front of the Schwarzschildrelated terms (see Appendix C). This corresponds to (e.g., Misner et al. 1973)
Here a is the semimajor axis and e is the eccentricity of the orbit. The quantity f_{SP} can then be used as a fitting parameter, similar to our approach for the RS (GRAVITY Collaboration 2018b, 2019). Appendix B explains the effects that the SP should have on the measured parameters of the S2 orbit.
3.2. Posterior analysis
The six parameters describing the Kepler orbit (a, e, i, ω, Ω, and t_{0}), the distance, and the central mass, and the five coordinates describing the position on the sky and the threedimensional velocity of the reference frame (relative to the AO spectroscopic or imaging frames) all have uncertainties. In particular, distance and mass are uncertain and correlated. Following GRAVITY Collaboration (2018a, 2019), we determined the bestfit value of the parameter f_{SP} a posteriori, including all data and fitting for the optimum values of all parameters with the LevenbergMarquardt χ^{2}minimisation algorithm (Levenberg 1944; Marquardt 1963), including prior constraints. It is essential to realise that the inferred measurement uncertainties are affected and partially dominated by systematic effects, especially when the evidence from three or more very different measurement techniques is combined.
Figures 2 and 3 show the fit results when we simultaneously fitted the data and the flare positions. As priors we used the Plewa et al. (2015) reference frame results (see Sect. 2). All data prior to the 2018.3 pericentre passage are fit by f_{SP} ≈ 0 (Newton, plus Rømer effect, plus SRT, plus RS). The residuals in this period are consistent with 0 (bottom panels of Fig. 2). The GRAVITY data between 2017 and 2019.7 clearly show that the postpericentre orbit exhibits a sudden kink, mainly in RA. The data are compatible with a pure inplane precession. This is shown in the upper right panels of Figs. 2 and 3, where we have computed the residuals in the projected angle of the SPfitted orbit on the sky δφ(t), relative to the f_{SP} = 0 orbit. This is exactly as expected from an f_{SP} ≈ 1 GR orbit (Fig. B.2). The more subtle swings in δRA, δDec, δvz, and δφ predicted by GR (Fig. B.2) are detected as well (see Appendix B for a more detailed discussion).
Fig. 2. Posterior analysis of all data by fitting for f_{SP} simultaneously with all other parameters. As in Fig. B.2, the bottom panels show the residuals in RA (left) and Dec (right) between the data and the bestfitting GR (thick red curve, f_{SP} = 1.1), relative to the same orbit for f_{SP} = 0 (Newton, plus Rømer effect, plus SRT, plus RS). Grey crosses denote individual NACO or SINFONI data, cyan filled black circles show averaged GRAVITY data, and grey rectangles denote averages of the NACO data. Top right panel: same for δφ, and top left panel: for δvz. Blue filled black circles are averages of the SINFONI residuals, with all residuals shown as grey crosses. The best fit (red curve) including the flare data (Fig. 1) has f_{SP} = 1.1, with a 1σ uncertainty of 0.19. The overall reduced of this fit is 1.5. 

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Fig. 3. As Fig. 2, but now zooming into the critical 2018 pericentre residuals (bestfit f_{SP} = 1.1 minus f_{SP} = 0, with all other parameters fixed). Bottom two and top right panels: blue filled, open black circles (with 1σ uncertainties) are averages of GRAVITY data. The grey bar on the left denotes the constraints obtained from NACO imagery of S2 and Sgr A* flares on the location of the apocentre value (2010.35). Averages (and 1σ uncertainties) of the radial velocity residuals from SINFONI are open black, blue filled circles (top left). The residuals of the bestfitting f_{SP} = 1.1 minus f_{SP} = 0 curves are plotted in red. 

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Table E.1 lists the bestfit parameters and their 1σ uncertainties. Depending on the weighting of different data sets and the choice of priors, we find that the bestfitting f_{SP} value varies between 0.9 and 1.2, with a fiducial value of f_{SP} = 1.1. The formal statistical fit uncertainty of this parameter does not depend much on the selection of astrometric and spectroscopic data of S2. The value of its rms uncertainty Δf_{SP} does depend on the methodology of error treatment. The distribution of the NACO flare position residuals shows significant nonGaussian outliers. There are ≈6 (of 75 data points) > 4σ outliers above the rms of ≈1.7 mas. If the χ^{2} distribution and the weighting of these points are treated as if they had a normal distribution, the reduced of our overall fits is driven up to ≈1.65, for a total χ^{2} of 995. In this case Δf_{SP} = 0.204. These outliers can be downweighted by replacing the penalty function p(r) = r^{2} in the calculation of χ^{2} = Σp((data − model)/error) with p(r, s) = r^{2} ⋅ s^{2}/(r^{2} + s^{2}), s = 10. This introduces a soft cutoff around 10σ in how much a data point can maximally contribute to the χ^{2}. With this scheme, of the overall fit drops to 1.50, and Δf_{SP} = 0.194.
We also fitted the data by solving simultaneously for f_{SP} and f_{RS}, without fixing the RS term to 1. In this case we find f_{SP} = 0.99 ± 0.24 and f_{RS} = 0.965 ± 0.042 (with the outlier damper on), again fully consistent with GR.
An alternative approach is to place the reference frame constraints we obtained from the flare positions into a combined prior with the contsraints from Plewa et al. (2015). In this case the prior for the location of Sgr A* in the NACO infrared frame is x_{0} = −0.42 ± 0.15 mas, y_{0} = 0.30 ± 0.15 mas, vx_{0} = −0.02 ± 0.05 mas yr^{−1}, and vy_{0} = 0.015 ± 0.05 mas yr^{−1}. When we use this prior to fit only the S2 data, we obtain f_{SP} = 0.92 ± 0.22 and (χ^{2} = 398).
Fitting the orbit with f_{SP} = 0 fixed yields χ^{2} = 932.3, compared to 906.4 with f_{SP} = 1 fixed. The corresponding difference in Bayesian information criterion (Claesekens & Hjort 2008) ΔBIC = 25.9 yields very strong evidence that the GR model describes the data better than the bestfitting Kepler (with SRT, RS, and Rømer delay included) orbit.
GRAVITY Collaboration (2018b) showed that the nearinfrared emission of Sgr A* during bright flares exhibits clockwise loop motions of excursions 50 − 100 μas. The typical flare duration and the orbital timescale are ≈1 h. A stationary offset between the infrared emission and the mass centroid of that size would induce a change of up to ±0.2 in f_{SP}, comparable to the overall uncertainty in f_{SP}. During a typical time of several hours making up a GRAVITY data point in this work these fluctuations should average out to less than 10 μas such that the additional error on f_{SP} is well below the statistical error.
Next we carried out a Markovchain Monte Carlo (MCMC) analysis. Using 200 000 realisations we found that the distribution of f_{SP} is well described by a Gaussian centred on f_{SP} = 1.11 ± 0.21 (Fig. E.1, and see Appendix E for more details). The largest relative uncertainty in the determination of the Schwarzschild term originates in the degeneracy of f_{SP} with the pericentre time (see Appendix B) and with the zeropoint x_{0} of the longterm reference frame (mass vs. NACO imaging coordinates). This is expected because the precession is largest in the EW direction.
Furthermore, we compared our firstorder postNewtonian code with fully relativistic GR orbits using the GYOTO raytracing code^{1} (Vincent et al. 2011; Grould et al. 2017). As expected, the deviations are small. The largest differences over the full data range are ΔRA = 62 μas, ΔDec = 41 μas and Δvz = 11.4 km s^{−1}, occurring for a short time around pericentre. Moreover, the Bayesian comparison between the bestfitting fullGR and Kepler (with SRT, RS, and Rømer delay included) orbits strongly prefers the GR model.
Finally, we also included the data from Do et al. (2019) (excepting the 2018 astrometry) using the scheme in Gillessen et al. (2009b) allowing for an additional offset in position and velocity for the Keck reference system. The 18parameter fit yields a consistent result, but no further improvement.
4. Conclusions
We have presented the first direct detection of the inplane Schwarzschild precession around Sgr A* in the GC. Our results are fully consistent with GR. We detect the precession of S2 robustly at the 5 to 6σ level in posterior fitting and MCMC analysis. Our result is independent of the fit methodology, data selection, weighting, and error assignments of individual data points. The significance of our result depends mostly on how accurately we can constrain (x_{0}, y_{0}, vx_{0}, and vy_{0}). The success rests crucially on the superior GRAVITY astrometry during and past pericentre passage on the one hand, and on 75 measurements of Sgr A* flares from NACO AO data between 2003 and 2019 on the other. The flare data allow us to independently constrain the zeropoint of the NACO reference frame.
Additional masses in the GC would lead to Newtonian perturbations of the S2 orbit. An extended mass component (e.g., composed of stars or remnants, but also of other particles) would result in a retrograde precession. The presence of a second massive object would lead to short excursions in the smooth orbit figure. Our data place tight constraints on both, which we detail in Appendix D, where we discuss several important astrophysical implications of our measurements.
We expect only modest further improvement of the significance of our result as our monitoring continues and S2 moves away from pericentre, because our result already now is limited by the precision with which we have measured the prepericentre orbit with AO data.
Freely available at http://gyoto.obspm.fr
Acknowledgments
We are very grateful to our funding agencies (MPG, ERC, CNRS [PNCG, PNGRAM], DFG, BMBF, Paris Observatory [CS, PhyFOG], Observatoire des Sciences de l’Univers de Grenoble, and the Fundação para a Ciência e Tecnologia), to ESO and the ESO/Paranal staff, and to the many scientific and technical staff members in our institutions, who helped to make NACO, SINFONI, and GRAVITY a reality. S. G. acknowledges the support from ERC starting grant No. 306311. F. E. and O. P. acknowledge the support from ERC synergy grant No. 610058. A. A., P. G., and V. G. were supported by Fundação para a Ciência e a Tecnologia, with grants reference UIDB/00099/2020 and SFRH/BSAB/142940/2018.
Note added in proof. After acceptance of this paper we noticed posting Gainutdinov (2020). He uses a subset of the data presented here for S2 (measurements taken until 2018), as well as published measurements for the stars S38 and S102, to put constraints on the PPN parameters β and γ. He finds an approximately twosigma agreement with the value of unity expected in GR. His analysis however fixes the values of the black hole mass and distance, vx_{0}, vy_{0} and vz_{0} as well as x_{0} and y_{0} in advance, which naturally leads to significantly underestimated error bars. Further, the analysis combines data sets from the VLT and Keck telescopes, without allowing for a coordinate system offset, which however is essential (Gillessen et al. 2009b).
References
 Abbott, B. P., Abbott, R., Abbott, T. D., et al. 2016, Phys. Rev. Lett., 116, 061102 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Alexander, T. 2005, Phys. Rep., 419, 65 [NASA ADS] [CrossRef] [Google Scholar]
 Alexander, T. 2017, ARA&A, 55, 17 [NASA ADS] [CrossRef] [Google Scholar]
 Angélil, R., & Saha, P. 2014, MNRAS, 444, 3780 [NASA ADS] [CrossRef] [Google Scholar]
 Angélil, R., Saha, P., & Merritt, D. 2010, ApJ, 720, 1303 [NASA ADS] [CrossRef] [Google Scholar]
 Bartko, H., Martins, F., Fritz, T. K., et al. 2009, ApJ, 697, 1741 [NASA ADS] [CrossRef] [Google Scholar]
 Baumgardt, H., AmaroSeoane, P., & Schödel, R. 2018, A&A, 609, A28 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Boehle, A., Ghez, A. M., Schödel, R., et al. 2016, ApJ, 830, 17 [NASA ADS] [CrossRef] [Google Scholar]
 Bonnet, H., Ströbele, S., BiancatMarchet, F., et al. 2003, Proc. SPIE, 4839, 329 [NASA ADS] [CrossRef] [Google Scholar]
 Cardoso, V., & Pani, P. 2019, Liv. Rev. Relativ., 22, 4 [NASA ADS] [CrossRef] [Google Scholar]
 Chu, D. S., Do, T., Hees, A., et al. 2018, ApJ, 854, 12 [NASA ADS] [CrossRef] [Google Scholar]
 Claesekens, G., & Hjort, N. L. 2008, Model Selection and Model Averaging (Cambridge: Cambridge University Press) [Google Scholar]
 Do, T., Hees, A., Ghez, A., et al. 2019, Science, 365, 664 [NASA ADS] [CrossRef] [Google Scholar]
 Doeleman, S. S., Weintroub, J., Rogers, A. E. E., et al. 2008, Nature, 455, 78 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Einstein, A. 1916, Annal. Phys., 354, 769 [NASA ADS] [CrossRef] [Google Scholar]
 Eisenhauer, F., Abuter, R., Bickert, K., et al. 2003, Proc. SPIE, 4841, 1548 [NASA ADS] [CrossRef] [Google Scholar]
 Eisenhauer, F., Genzel, R., Alexander, T., et al. 2005, ApJ, 628, 246 [NASA ADS] [CrossRef] [Google Scholar]
 Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2019, ApJ, 875, L1 [NASA ADS] [CrossRef] [Google Scholar]
 Fabian, A. C., Iwasawa, K., Reynolds, C. S., & Young, A. J. 2000, PASP, 112, 1145 [NASA ADS] [CrossRef] [Google Scholar]
 Falcke, H., & Markoff, S. B. 2013, Classical Quantum Gravity, 30, 244003 [NASA ADS] [CrossRef] [Google Scholar]
 Falcke, H., Melia, F., & Agol, E. 2000, ApJ, 528, L13 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Fritz, T. K., Chatzopoulos, S., Gerhard, O., et al. 2016, ApJ, 821, 44 [NASA ADS] [CrossRef] [Google Scholar]
 Gainutdinov, R. I. 2020, ArXiv eprints [arXiv:2002.12598] [Google Scholar]
 Genzel, R., Eisenhauer, F., & Gillessen, S. 2010, Rev. Mod. Phys., 82, 3121 [NASA ADS] [CrossRef] [Google Scholar]
 Ghez, A., Duchêne, G., Matthews, K., et al. 2003, ApJ, 586, L127 [NASA ADS] [CrossRef] [Google Scholar]
 Ghez, A., Salim, S., Weinberg, N. N., et al. 2008, ApJ, 689, 1044 [NASA ADS] [CrossRef] [Google Scholar]
 Gillessen, S., Eisenhauer, F., Trippe, S., et al. 2009a, ApJ, 692, 1075 [NASA ADS] [CrossRef] [Google Scholar]
 Gillessen, S., Eisenhauer, F., Fritz, T. K., et al. 2009b, ApJ, 707, L114 [NASA ADS] [CrossRef] [Google Scholar]
 Gillessen, S., Plewa, P. M., Eisenhauer, F., et al. 2017, ApJ, 837, 30 [NASA ADS] [CrossRef] [Google Scholar]
 Gondolo, P., & Silk, J. 1999, Phys. Rev. Lett., 83, 1719 [NASA ADS] [CrossRef] [Google Scholar]
 GRAVITY Collaboration (Abuter, R., et al.) 2017, A&A, 602, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 GRAVITY Collaboration (Abuter, R., et al.) 2018a, A&A, 615, L15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 GRAVITY Collaboration (Abuter, R., et al.) 2018b, A&A, 618, L10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 GRAVITY Collaboration (Abuter, R., et al.) 2019, A&A, 625, L10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Grould, M., Vincent, F. H., Paumard, T., & Perrin, G. 2017, A&A, 608, A60 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Gualandris, A., & Merritt, D. 2009, ApJ, 705, 361 [NASA ADS] [CrossRef] [Google Scholar]
 Gualandris, A., Gillessen, S., & Merritt, D. 2010, MNRAS, 409, 1146 [NASA ADS] [CrossRef] [Google Scholar]
 Habibi, M., Gillessen, S., Martins, F., et al. 2017, ApJ, 847, 120 [NASA ADS] [CrossRef] [Google Scholar]
 Hansen, B. M. S., & Milosavljević, M. 2003, ApJ, 593, L77 [NASA ADS] [CrossRef] [Google Scholar]
 Hees, A., Do, T., Ghez, A. M., et al. 2017, Phys. Rev. Lett., 118, 211101 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Hofmann, R., Eckart, A., Genzel, R., & Drapatz, S. 1993, Ap&SS, 205, 1 [NASA ADS] [CrossRef] [Google Scholar]
 Issaoun, S., Johnson, M. D., Blackburn, L., et al. 2019, ApJ, 871, 30 [NASA ADS] [CrossRef] [Google Scholar]
 Johnson, M. D., Bouman, K. L., Blackburn, L., et al. 2017, ApJ, 850, 172 [NASA ADS] [CrossRef] [Google Scholar]
 Kerr, R. P. 1965, in QuasiStellar Sources and Gravitational Collapse, eds. I. Robinson, A. Schild, & E. L. Schucking, 99 [Google Scholar]
 Kormendy, J., & Ho, L. C. 2013, ARA&A, 51, 511 [NASA ADS] [CrossRef] [Google Scholar]
 Kramer, M. 2016, Int. J. Mod. Phys. D, 25, 1630029 [NASA ADS] [CrossRef] [Google Scholar]
 Kramer, M., Stairs, I. H., Manchester, R. N., et al. 2006, Science, 314, 97 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Lacroix, T. 2018, A&A, 619, A46 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Lenzen, R., Hofmann, R., Bizenberger, P., & Tusche, A. 1998, Proc. SPIE, 3354, 606 [NASA ADS] [CrossRef] [Google Scholar]
 Levenberg, K. 1944, Quart. Appl. Math., 2, 164 [Google Scholar]
 LyndenBell, D., & Rees, M. J. 1971, MNRAS, 152, 461 [NASA ADS] [CrossRef] [Google Scholar]
 Marquardt, D. W. 1963, J. Soc. Ind. Appl. Math., 11, 431 [Google Scholar]
 Martins, F., Gillessen, S., Eisenhauer, F., et al. 2008, ApJ, 672, L119 [NASA ADS] [CrossRef] [Google Scholar]
 McConnell, N. J., & Ma, C.P. 2013, ApJ, 764, 184 [NASA ADS] [CrossRef] [Google Scholar]
 Merritt, D., Gualandris, A., & Mikkola, S. 2009, ApJ, 693, L35 [NASA ADS] [CrossRef] [Google Scholar]
 Merritt, D., Alexander, T., Mikkola, S., & Will, C. M. 2010, Phys. Rev. D, 81, 062002 [NASA ADS] [CrossRef] [Google Scholar]
 Meyer, L., Ghez, A., Schödel, R., et al. 2012, Science, 338, 84 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Misner, C. W., Thorne, K. S., & Wheeler, J. A. 1973, Gravitation (Princeton, NJ: Princeton University Press) [Google Scholar]
 Moran, J. M., Greenhill, L. J., & Herrnstein, J. R. 1999, JApA, 20, 165 [NASA ADS] [CrossRef] [Google Scholar]
 Morris, M. R., Meyer, L., & Ghez, A. M. 2012, Res. Astron. Astrophys., 12, 995 [NASA ADS] [CrossRef] [Google Scholar]
 Mouawad, N., Eckart, A., Pfalzner, S., et al. 2005, Astron. Nachr., 326, 83 [NASA ADS] [CrossRef] [Google Scholar]
 Naoz, S., Will, C. M., RamirezRuiz, E., et al. 2020, ApJ, 888, L8 [NASA ADS] [CrossRef] [Google Scholar]
 Navarro, J. F., Frenk, C. S., & White, S. D. M. 1996, ApJ, 462, 563 [NASA ADS] [CrossRef] [Google Scholar]
 Parsa, M., Eckart, A., Shahzamanian, B., et al. 2017, ApJ, 845, 22 [NASA ADS] [CrossRef] [Google Scholar]
 Paumard, T., Genzel, R., Martins, F., et al. 2006, ApJ, 643, 1011 [NASA ADS] [CrossRef] [Google Scholar]
 Perrin, G., & Woillez, J. 2019, A&A, 625, A48 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Plewa, P. M., & Sari, R. 2018, MNRAS, 476, 4372 [NASA ADS] [CrossRef] [Google Scholar]
 Plewa, P. M., Gillessen, S., Eisenhauer, F., et al. 2015, MNRAS, 453, 3234 [NASA ADS] [CrossRef] [Google Scholar]
 Plummer, H. C. 1911, MNRAS, 71, 460 [NASA ADS] [CrossRef] [Google Scholar]
 Psaltis, D. 2004, AIP Conf. Ser., 714, 29 [NASA ADS] [CrossRef] [Google Scholar]
 Psaltis, D., Wex, N., & Kramer, M. 2016, ApJ, 818, 121 [NASA ADS] [CrossRef] [Google Scholar]
 Reid, M. J., & Brunthaler, A. 2004, ApJ, 616, 872 [NASA ADS] [CrossRef] [Google Scholar]
 Reid, M. J., & Brunthaler, A. 2020, ApJ, 892, 39 [NASA ADS] [CrossRef] [Google Scholar]
 Reid, M. J., Menten, K. M., Zheng, X. W., Brunthaler, A., & Xu, Y. 2009, ApJ, 705, 1548 [NASA ADS] [CrossRef] [Google Scholar]
 Rousset, G., Lacombe, F., Puget, P., et al. 1998, Proc. SPIE, 3353, 508 [NASA ADS] [CrossRef] [Google Scholar]
 Rubilar, G. F., & Eckart, A. 2001, A&A, 374, 95 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Sakai, S., Lu, J. R., Ghez, A., et al. 2019, ApJ, 873, 65 [NASA ADS] [CrossRef] [Google Scholar]
 Schmidt, M. 1963, Nature, 197, 1040 [NASA ADS] [CrossRef] [Google Scholar]
 Schödel, R., Ott, T., Genzel, R., et al. 2002, Nature, 419, 694 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Schödel, R., Merritt, D., & Eckart, A. 2009, A&A, 502, 91 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Schödel, R., GallegoCano, E., Dong, H., et al. 2018, A&A, 609, A27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Schwarzschild, K. 1916, Sitzungsberichte der Königlich Preußischen Akademie der Wissenschaften (Berlin), 189 [Google Scholar]
 Tanaka, Y., Nandra, K., Fabian, A. C., et al. 1995, Nature, 375, 659 [NASA ADS] [CrossRef] [Google Scholar]
 Vincent, F. H., Paumard, T., Gourgoulhon, E., & Perrin, G. 2011, Classical Quantum Gravity, 28, 225011 [NASA ADS] [CrossRef] [Google Scholar]
 Will, C. M. 2008, ApJ, 674, L25 [NASA ADS] [CrossRef] [Google Scholar]
 Will, C. M. 2014, Liv. Rev. Relativ., 17, 4 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Will, C. M., & Nordtvedt, Jr., K. 1972, ApJ, 177, 757 [NASA ADS] [CrossRef] [Google Scholar]
 Yelda, S., Ghez, A. M., Lu, J. R., et al. 2014, ApJ, 783, 131 [NASA ADS] [CrossRef] [Google Scholar]
 Yu, Q., & Tremaine, S. 2003, ApJ, 599, 1129 [NASA ADS] [CrossRef] [Google Scholar]
 Zhang, F., & Iorio, L. 2017, ApJ, 834, 198 [NASA ADS] [CrossRef] [Google Scholar]
 Zucker, S., Alexander, T., Gillessen, S., Eisenhauer, F., & Genzel, R. 2006, ApJ, 639, L21 [NASA ADS] [CrossRef] [Google Scholar]
Appendix A: Experimental techniques
A.1. GRAVITY data analysis
Our result crucially depends on the use of GRAVITY, the VLTI beam combiner, which as a result of its extremely high angular resolution of ≈3 mas yields very accurate astrometry with errors well below 100 μas (GRAVITY Collaboration 2017 and Fig. A.3). Depending on the separation between S2 and Sgr A* there are two fundamentally different ways to retrieve the separation vector between S2 and Sgr A*.
Dualbeam method. For separations larger than the singletelescope beam size (FWHM ≈ 60 mas), the GRAVITY science channel fibre needs to be pointed once to Sgr A* and once to S2, such that the respective target is the dominant source in the field. The phases of the complex visibilities of each pointing then yield an accurate distance to the fringetracking star, IRS16C in our case. By interferometrically calibrating the Sgr A* data with S2, the position of IRS16C drops out, and we obtain a data set in which the six phases Φ_{i} directly measure the desired separation vector s = (ΔRA, ΔDec) between S2 and Sgr A* through the basic interferometer formula for a unary model,
where B_{i} denotes the ith of the six baselines. Because our data are spectrally resolved into 14 channels λ_{j} across the K band (2.0 μm to 2.4 μm), the unknown s with two parameters is well constrained by a fit to the phases. This method applies mostly to the 2019 data, and partly to the 2017 data. In Fig. A.1 we show an example for such a unary fit for one Sgr A* exposure.
Fig. A.1. Example of a unary fit for a fiveminute exposure on Sgr A* from April 22, 2019, 06:39:55. Top: phase Φ as a function of projected baseline vector u for the spolarisation channel. Per baseline, eight spectral channels were included here. The black line is a unary model, which yields the offset from the interferometer pointing position to ΔRA = 322 ± 9 μas and ΔDec = 301 ± 8 μas (formal fit errors). Bottom: the visibility modulus for the same data is constant and close to unity, consistent with the choice of fitting a single point source. 

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Singlebeam method. For separations below the singletelescope beam size, both sources are observed simultaneously and appear as an interferometric binary. In this case, the amplitudes of the complex visibilities as well as the closure phases carry the signature, which is a beating pattern in each baseline along the spectral axis. We fitted a binary model to these data, for which the complex visibilities are:
In this expression we use the abbreviations
where
The α are the spectral slopes of Sgr A*, S2, and background, and λ_{2.2} is the wavelength λ divided by the reference wavelength λ_{0} = 2.2 μm. The optical path differences for X = S2 and X = Sgr A* are
The function P(λ) is the spectral bandpass, for which we used a tophat function with a width corresponding to the measured spectral resolution. The f_{k} and f_{l} are the flux ratios of S2 to Sgr A* for telescope k and l; f_{BG} is the flux ratio of unresolved background to the Sgr A* flux. The model yields a complex visibility for all baselines and spectral channels, of which we fit the amplitudes and closure phases to the data. We also used this analysis in our previous work (GRAVITY Collaboration 2018a,b) and here for the 2018 and 2017 data. In Fig. A.2 we show an example of how the binary model describes the visibility amplitudes for one exposure.
Fig. A.2. Example of a binary fit from July 8, 2017, 03:27:51. The observed visibility modulus shows strong modulation, the signature of an interferometrically resolved binary. The lines show the model for the six baselines, which includes the separation vector. The formal uncertainty in this example fit is 8 μas per coordinate. 

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Fig. A.3. Astrometric (left) and spectroscopic (right) 1σ statistical measurement uncertainties of S2 over time. Left panel: almost 100fold improvement in astrometric precision in RA and Dec, from the early period of speckle imagery with SHARP on the 3.5 m NTT (until 2001), then the AO imagery with NACO on the 8 m VLT (> 2002), and then, since 2016.7, the interferometric astrometry of GRAVITY combining all four 8 m telescopes of the VLT. The grey vertical lines are the two pericentre passages (2002.33 and 2018.38) covered by our data set. 

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A.2. Details of the unary model fits
The aim is to measure the separation vector between S2 and Sgr A*. GRAVITY measures the separation between science object and fringetracking star (IRS16C in our case). The desired separation is obtained by measuring both S2 and Sgr A* with respect to IRS16C, and subtracting the two measurements. This corresponds to interferometrically calibrating the phases of Sgr A* with those of S2.
By construction, the phases of the calibrator S2 frame are identical to 0, and ideally, the phases for all other S2 frames are 0 as well. In reality, this is not the case. At the time of observing, the separation vector r between the fringetracking star IRS16C and S2 needs to be provided to GRAVITY for tracking the fringes with the differential delay lines. At this point, r is not known to the interferometric precision, but only from the AOdata based orbital motion of IRS16C (Gillessen et al. 2017). For a subsequent S2 file, when the projected baselines have changed by some value ΔB due to Earth rotation, the error in pointing Δr therefore leads to an additional phase ΔΦ = ΔB ⋅ Δr. By observing S2 a few times per night, we obtain a set of constraints for Δr, which allows fitting for Δr over the course of the night.
Therefore we can correct our data postfacto for this offset Δr, and obtain phases for Sgr A* that directly relate to S2. Because S2 is several interferometric beams away from Sgr A*, the phases are still wrapped, which is inconvenient for fitting. The solution is to subtract the separation vector r as provided at the time of observing, and only fit (using the Δrcorrected phases) the difference to that separation.
The choice of which of the S2 frames we use as calibrator depends on the night and on the data quality of the individual files. Ideally, we seek S2 frames of good quality close in time to the Sgr A* frames, in which Sgr A* was bright. Typically, the Sgr A* frames during which the source is clearly detectable (flares of at least moderate brightness with m_{K} < 16) lead to a welldetermined and stable S2Sgr A* vector.
A.3. Details of the binary model fits
We used the binary fitting method in our previous publications (GRAVITY Collaboration 2018a,b, 2019). The quantities used are the visibility amplitudes and the closure phases, both of which measure the internal source structure. We omit the visibility phases here, because they mostly contain information about the location of the phase centre and only to a lesser degree about the source internal structure. One of the parameters describing the source structure is the desired binary separation.
Here, we also correct for static aberrations during the binary fitting, refining our earlier procedure as a result of an improved understanding of the instrumental systematics. The aberrations are induced in the fibre coupling unit of GRAVITY and distort the incoming wavefronts depending on the source’s position in the field of view (FOV). The effect is zero at the centre of the FOV but increases with offaxis distance and thus is of particular importance for the 2017 data where S2 and Sgr A* are detected simultaneously in a single fibrebeam positioning at a separation comparable to the fibre FOV.
We parametrise the effect of a static aberration with an amplitude A^{off} and a phase Φ^{off} on a plain wavefront in complex notation as
where k labels the telescope and x_{k} denotes its position, E_{0} is the amplitude of the unperturbed electric field, and s is the source position on the sky. The scaling in amplitude and the phase shift are functions of the source position with respect to the field centre and differ for each telescope.
The GRAVITY pipeline determines the normalised interferometric visibility from the correlated flux of two telescopes divided by their respective individual fluxes. The fielddependent aberrations enter the Van CittertZernike theorem as
where I(σ) is the source intensity distribution and b_{kl} is the projection of the baseline vector onto the plane perpendicular to the line of sight. The expression for a binary system follows from this equation and generalises Eq. (A.2). The integrals in Eq. (A.3) then read as
and the flux ratios f_{k}, f_{l} in Eq. (A.2) are multiplied with the ratio of A^{off} for the two sources.
The refined binary fitting therefore requires maps of the amplitude and phase distortion as additional input. We obtained these from dedicated calibration runs, using the GRAVITY calibration unit, which simulates the light of an unresolved source. The offset between this source and the fibre can be controlled, and we scanned the FOV in order to measure the relative changes in phase and amplitude across (see Fig. A.4 for an example).
Fig. A.4. Twodimensional phase maps used for correcting the effects of static aberrations in the binary fitting. Top row: compares simulations of a perfect Airy pattern (left) to a static astigmatism with 180 nm rms over the full pupil. The white circle in the top right panel shows the extent of the measured phase maps. One example for such a map is shown below, before (left) and after (right) applying a Gaussian kernel accounting for atmospheric smoothing. The black line in the lower right panel indicates the trace where S2 was located, as predicted by the orbit. 

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In contrast to an astronomical observation, our calibration data are not affected by the smoothing effects of the AO residuals. We account for the atmospheric smoothing by applying a Gaussian kernel to the phase maps. The typical tiptilt jitter for observations of the GC has an rms peraxis of ≈15 mas (Perrin & Woillez 2019), and higher order aberrations also contribute. We determined the amount of atmospheric smoothing by comparing the amplitude maps with the actual onsky profiles, and verified in a simulation that the effects of a static astigmatism plus atmospheric broadening match the observed widths (Fig. A.5). The uncertainty in the atmospheric smoothing yields an additional systematic error for the astrometry that we assessed by using different smoothing kernels, which result in an FWHM of the amplitude map between 88 and 96 mas.
Fig. A.5. Comparison of the theoretical amplitude map smoothed with atmospheric AO residuals (left) and the measured map smoothed with a Gaussian kernel to match the onsky measured width (right). The FWHM for the left panel is 87 mas, and for the right panel it is 88 mas. 

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The effect of the static aberration does not average out, because the orientation of the field inside GRAVITY is always the same for our observations. Moreover, the projected baselines are not drawn from full tracks in the uvplane, but we rather have a typical observing geometry. We therefore expect a bias. In comparison to binary fits neglecting static aberrations, we find that the position of S2 is indeed offset systematically throughout 2017 by approximately 0.44 × (t − 2018)−0.10 mas in RA and −0.86 × (t − 2018)+0.28 mas in Dec. As expected, the offset decreases as S2 moves closer to Sgr A*. Finally, we note that our result for f_{SP} does not depend in a significant way on this correction.
Appendix B: Theoretical expectations for the precession of S2
The 12.1′ precession angle predicted by GR corresponds to a spatial shift between the GR and the Kepler orbit of 0.78 mas at apocentre, mostly in RA because of the current orientation of the orbit. To detect this shift with 5σ significance requires a positional measurement precision of 100 μas or less. We have more than 100 NACO measurements of the orbit, each with a statistical precision of 400 μas. If we did not have systematics (offset and drift of the infrared to massradio references frames) it should therefore (have) be(en) possible to detect the SP with NACO or the Keck NIRC imager alone. While the motion on the sky of S2 could be detected with NACO over periods of months, the GRAVITY observations detect the star’s motion over 0.5 − 2 days.
The precession angle projected on the sky depends on the geometric angles of the orbit and therefore on time. In the plane of the orbit, the precession advances the angle δϕ by 12.1′ per orbital period of 16.046 yr. The precession projected on the sky δφ varies from −17′ to −8.4′ through each half SP period of P_{SP} = 28 710 yr (Fig. B.1).
Fig. B.1. Advance of skyprojected apocentre angle δφ, per orbital period, as a function of year. 

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Figure B.2 illustrates the effects the SP is expected to have on the measured parameters of the S2 orbit. Because of the strong dependence of δϕ on radius, much of the 12.1′ precession occurs within ±1 year of pericentre. In RA/Dec space, the precession is seen as a “kink” in the time change of the postpericentre versus prepericentre residuals. Very near pericentre passage, the precession acts to first order as a timeshift between the precessing and the equivalent f_{SP} = 0 orbit (see also Fig. E.2 top left panel). In the residuals δRA, δDec, δvz, and δφ between the data and the f_{SP} = 0, shortterm excursions of about a few times β^{2} appear in all these observables as a result.
Fig. B.2. Theoretical expectations for the effect of the Schwarzschild precession on the orbit of the star S2. Here we took the bestfit parameters of the S2 orbit, and computed two model orbits, one for f_{SP} = 0 (Newton, plus Rømer effect, plus SRT, plus RS), and one for f_{SP} = 1 (Eq. (C.1)). The grey (2018.38) and blue (2002.34) vertical lines are the pericentre times. We arbitrarily set the precession angle of the SP orbit to 0 during apocentre 2010.35. Top panels: residuals of δvz (left) and δφ (right) between the f_{SP} = 1 and f_{SP} = 0 orbits. Bottom panels: same for δRA (left) and δDec (right). Middle panels: vz (left) and φ (right) as a function of time. Here, φ is the position angle of the star on the sky, φ = arctan(RA/Dec), running from 359° when the star is straight north, or northwest of centre, to 180° when it is straight south, to > 0° when it is just northnorth east of centre. The most fundamental aspect of the precession is seen in the top right panel as a change in δφ by ≈14′ between two apocentres. Because the precession strongly depends on radius, the precession is very fast around pericentre (2018.38) in a highly elliptical orbit, so that within ≈1 year of pericentre ≈75% of the precession has occurred. To first order, the precession leads to a change in time when the star is found at a given angle φ on the sky, relative to the nonprecessing orbit. Because the functional form of φ(t) is close to a step function, the differencing δφ(t) = φ_{SP = 1}(t)−φ_{SP = 0}(t) is close to a differentiation dφ/dt, which thus results in a sharp δfunction in the residuals δφ(t) near pericentre. In velocity space a similar effect occurs in the residuals as well, although vz(t) is not as symmetric in t relative to t_{peri}. Finally in δRA and δDec (bottom panels), the effect of the precession results in a “kink” in the orbit coordinate time slope. Because of the variations in the foreshortening of the RA and Dec coordinates of the apocentre values of the δRA, δDec and δφ the SP = 1 vs. SP = 0 curves vary over time (Fig. B.1). The projected precession on the sky between the apocentres 2010.35 and 2026.5 is ≈14′. 

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Appendix C: Parametrisation of the Schwarzschild precession
We uses the postNewtonian limit for the equation of motion presented in Will (2008), Eq. (1) therein. We parametrised the effect of the Schwarzschild metric (i.e. the prograde precession) by introducing an ad hoc factor f_{SP} in front of the terms arising from the Schwarzschild metric. We set the terms due to spin J and quadrupole moment Q_{2} to 0. This results in
In the (firstorder) parameterized postNewtonian (PPN) expansion of GR, the second term becomes
In GR, β_{GR} = γ_{GR} = 1. Two PPN parameters (β, γ) are needed to describe the equation of motion, and for no choice of β and γ can we recover the Newtonian solution. The PPN formalism is therefore less well suited for our experiment than using f_{SP}.
The net effect of the precession is
for our parametrisation, and to
in the PPN formulation of GR (Will 2014). Yet it is imprecise to identify the factor 3f_{SP} with (2 + 2γ − β). Our parameter f_{SP} characterises how relativistic the model is, as is probably easiest seen by the fact that its effect corresponds to changing the value of the speed of light in the equations, with the limit c → ∞ for f_{SP} → 0.
In the PPN formulation of GR, all orbits with β = 2(1 + γ) have zero net precession per revolution, and all orbits with β = 2γ − 1 have the same amount of pericentre advance as GR. Because of the high eccentricity of the S2 orbit, the precession leads to an almost instantaneous change of the orbit orientation ω in its plane when the star passes pericentre. Our result therefore essentially compares the orbit orientations post and prepericentre 2018. In this limit, we can indeed state that we have measured (2 + 2γ − β)/3 = 1.10 ± 0.19. Figure C.1 illustrates our constraint in the plane spanned by β and γ. Because there is no exact representation of the Keplerian orbit in the PPN formalism, we instead seek the PPN orbit that most closely resembles the Keplerian orbit. This depends on the eccentricity, and for S2, we find γ_{Kep} = −0.78762 and β_{Kep} = 0.42476. Changing f_{SP} corresponds to moving along a line from (γ_{Kep}, β_{Kep}) to (γ_{GR}, β_{GR}). With this, we find β = 1.05 ± 0.11 and γ = 1.18 ± 0.34, and the two are fully correlated.
Fig. C.1. Interpretation of our measurement in the plane of the PPN parameters β and γ. Our value for f_{SP} and its uncertainty are represented by the black line and grey band. The GR value f_{SP} = 1 is the blue line, and the Newtonian value f_{SP} = 0 is the green line. The best approximations to the orbits by PPN parameters are shown by the orange dotted line. Assuming GR is a PPN theory, our measurement corresponds to the white circle at the intersection point and the uncertainties are the adjacent black thick lines. 

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Appendix D: Astrophysical implications
Distributed mass component inside the orbit of S2. An extended mass component would create retrograde Newtonian precession. Our data strongly constrain such a component. For simplicity we use spherically symmetric distributions of the extended mass. Using a Plummer (1911) profile with a scale parameter of 0.3 arcsec (Mouawad et al. 2005) and fitting for the normalisation of that mass component assuming f_{SP} = 1 shows that (0.00 ± 0.10)% of the central mass could be in such an extended configuration. Changing the radius parameter to 0.2 or 0.4 arcsec yields ( − 0.02 ± 0.09)% or (0.01 ± 0.11)%. Using instead a powerlaw profile with logarithmic slope between −1.4 and −2 results in a mass estimate of ( − 0.03 ± 0.07)%. Overall, we estimate that for typical density profiles the extended mass component cannot exceed 0.1%, or ≈4000 M_{⊙} (1σ limits). For comparison, modelling of the star cluster suggests that the total stellar content within the apocentre of S2 is < 1000 M_{⊙}, and the mass of stellar black holes within that radius is 80 − 340 M_{⊙} (Fig. D.1, cf. Genzel et al. 2010; Alexander 2017; Baumgardt et al. 2018). We conclude that the expected stellar content within the S2 orbit is too small to significantly affect the SP.
Fig. D.1. Constraints on the enclosed mass in the central 10 pc of the Galaxy. The blue crossed circle, the pink triangle, and the black crossed rectangles are estimates of the enclosed mass within the S2 orbit, other Sstars and the massive star discs (Paumard et al. 2006; Bartko et al. 2009; Yelda et al. 2014). The red filled circles, the red crossed rectangle, and red open triangles denote mass measurements from latetype stars. Green triangles are mass estimates from rotating gas in the circumnuclear disc (see Genzel et al. 2010 for details). The filled black rectangle comes from the clockwise loopmotions of synchrotron nearinfrared flares (GRAVITY Collaboration 2018b). The cyan double arrow denotes current VLBI estimates of the 3 mm size of Sgr A* (Issaoun et al. 2019). The continuous magenta line shows the total mass from all stars and stellar remnants (Alexander 2017). The grey line marks the distribution of K < 18.5 subgiants and dwarfs from Schödel et al. (2018). The black dashed lines and the cyan line indicate the distribution of stellar black holes and neutron stars from theoretical simulations of Alexander (2017) and Baumgardt et al. (2018), which span a range of roughly a factor 5. Red, black and green upper limits denote upper limits on giants, mainsequence B stars and K < 19 GRAVITY sources. The Schwarzschild radius of a 4.26 × 10^{6} M_{⊙} black hole and the innermost stable circular orbit radius for a nonspinning black hole are given by red vertical lines. The pericentre radius of S2 is the dashed vertical blue line and the sphere of influence of the black hole is given by the vertical green line. The blue horizontal line denotes the 2σ upper limit of any extended mass around Sgr A* obtained from the lack of retrograde precession in the S2 orbit (see text). 

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Merritt et al. (2010) investigated for which configurations the Newtonian precession due to an extended mass component in the form of individual stellar mass objects exceeds the effects of spin and quadrupole moment of the MBH. They addressed a range of masses between 1 and 10^{3} M_{⊙} in the central milliparsec. The above limits translate into a limit of ≈200 M_{⊙} in that radial range. Figure 1 of Merritt et al. (2010) shows that for S2 itself, our limit on the extended mass would lead to perturbations almost on par with the expected spin effects for a maximally spinning MBH, giving some hope that the spin of Sgr A* can eventually be detected from S2 despite its large orbital radius. Zhang & Iorio (2017) cautioned, however, that already the Newtonian perturbation from S55/S0102 (Meyer et al. 2012; Gillessen et al. 2017) might hide the spin’s signature. For stars on shorter period orbits or with higher eccentricities, detecting the higher order effects of the metric is easier; and stellar perturbations have a different observational signature than the effect of the metric.
A second massive object in the GC. The presence of an intermediate mass black hole (IMBH) orbiting Sgr A* inside the orbit of S2 is constrained by our measurements. Gualandris et al. (2010) explored a grid of threebody simulations with an IMBH of mass 400−4000 M_{⊙} on orbits similar in size to the S2 with a range of angles and eccentricities relative to the S2 orbit. By inspecting the astrometric and spectroscopic residuals from the threebody system in comparison to the assumed astrometric error, they concluded that the 2018 pericentre passage of S2 would exclude a large part of the parameter space. The additional data since 2010 and the much more accurate astrometry from GRAVITY now exclude any IMBH greater than about 1000 M_{⊙} in the central arcsecond, and allow IMBHs in the mass range of 100 − 1000 M_{⊙} only in a small region inside or just outside of the orbit of S2 (Fig. D.2). In the radial regime of the stellar discs (1″ − 10″) an IMBH of up to 10^{4} M_{⊙} is still allowed.
Fig. D.2. Limits on a second, intermediate mass black hole (IMBH), as a function of its mass and separation from Sgr A*. The shaded area is excluded observationally. Adapted from Gualandris & Merritt (2009). The blue shaded regions are due to the lack of observed motion of Sgr A* at radio wavelengths (Hansen & Milosavljević 2003, HM03). The data from Reid & Brunthaler (2004, RB04) and Reid & Brunthaler (2020, RB20) improve these limits. The upper bound results from the limit on the 3D velocity v_{3D} ≲ 8 km s^{−1} (RB04) and ≲3 km s^{−1} (RB20). The lower bound results from the absence of shortperiod fluctuations in the position, with limits of 1 mas and 0.5 mas in RB04 and RB20. Yu & Tremaine (2003) set a limit from the ejection rates of hypervelocity stars if an IMBH were present in the GC (YT03). The bottom area is excluded because the gravitational wave inspiral time scale T_{GW} would be < 10 Myr. Naoz et al. (2020) exclude the green shaded area by demanding that the S2 orbit be stable, taking into account resonant effects from the IMBH. Beyond the ranges given in the original work, the constraints get weaker (fading colour). The area labeled GM09 is excluded by Gualandris & Merritt (2009), who calculated the effect of an IMBH on the distribution of stellar orbits. Their original box extends to higher masses (shaded area to right). A first constraint from the orbit data of S2 was given in Gillessen et al. (2009a). Extending the orbital coverage in a simulation to the 2018 pericentre passage Gualandris et al. (2010) concluded that from a lack of extra residuals one should be able to exclude the area right of the dotted line (GGM10). GRAVITY improved the accuracy compared to these simulations by a factor 4.6, which moves the limit further to lower masses (redshaded region). All but a 10^{2} − 10^{3} M_{⊙} IMBH inside or just outside of S2’s orbit is now excluded by the various measurements. This also excludes the configurations Merritt et al. (2009) found to be efficient in randomizing the Sstar orbits. 

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The distance to the GC. Our data set continues to constrain R_{0} ever better. Setting f_{SP} = f_{RS} = 1 fixed during the fit, we obtain our best estimate for R_{0} = 8248.6 ± 8.8 pc, where the error is the statistical error alone. This is 25% more precise than our result in GRAVITY Collaboration (2019), but the values differ by ≈2σ when we take the systematic error from GRAVITY Collaboration (2019) into account. We now conservatively adopt, with the improved data set, a systematic error of 45 pc, which is twice as large as before. This better reflects the variations between GRAVITY Collaboration (2018a), GRAVITY Collaboration (2019) and this work. Our current best estimate is therefore R_{0} = 8249 ± 9_{stat.} ± 45_{sys.} pc. Because of the strong correlation between the bestfit MBH mass M_{•} and R_{0} (Fig. E.2), the increase in R_{0} is reflected in M_{•}.
Constraints on PPN parameters. In Appendix C we derived our constraints on the PPN parameters β = 1.05 ± 0.11 and γ = 1.18 ± 0.34. These are consistent with GR, but not competitive with the results obtained in the Solar System from spacecraft measurements. The deviation from the GR value of γ = 1 is best constrained through the Shapiro delay from the Cassini spacecraft to better than 2 × 10^{−5}, while VLBI measurements of the light deflection using the quasars 3C273 and 3C279 yield a factor 10 weaker constraints on γ (Will 2014). Assuming the value of γ from Cassini, the SP of Mercury’s orbit from the Messenger spacecraft yields a constraint on β of 8 × 10^{−5}. While our constraints are weaker, they probe a completely different regime in mass (by a factor 4 × 10^{6}) and potential strength (by a factor 10^{2} to 10^{4}) than the Solar System tests (Fig. D.3).
Fig. D.3. Comparison of tests of GR in the plane of mass and potential, adapted from Psaltis (2004). Black: terrestrial laboratories, Mercury’s precession, light deflection, and Shapiro delay in the Solar System, the HulseTaylor pulsar, the LIGO detections, the relativistic Kα lines, and the M 87 EHT observation. LISA signals will probe the grey rectangular region. This work, using S2, is marked in blue. 

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Beyond the standard model. We also derived limits on a Yukawalike potential in the GC (Hees et al. 2017). Our limits show the same sensitivity to the lengthscale parameter λ as in Hees et al. (2017), but are a factor 20 more constraining in terms of the interaction strength α. At our most sensitive λ = 180 AU, we constrain α< 8.8 × 10^{−4} (95% confidence level).
Our data also constrain the possible parameters for an assumed darkmatter spike in the GC. Lacroix (2018) showed that for a NavarroFrenkWhite profile (Navarro et al. 1996) with slope γ = −1 plus a spike with a powerlaw profile with slope γ_{SP} = −7/3, the data of Gillessen et al. (2017) constrain the spike radius to R_{SP} ≲ 100 pc, corresponding to an enclosed mass of ≈5 × 10^{4} M_{⊙}. Our new data set constrains R_{SP} ≲ 10 pc (corresponding to ≈3 × 10^{3} M_{⊙}), which is just below the theoretical prediction from Gondolo & Silk (1999), who took limits from the absence of a neutrino signal from the GC into account.
Appendix E: Details of the fit
In Table E.1 we report the bestfitting parameters of our 14parameter fit, together with the formal fit errors and the 1σ confidence intervals from the MCMC. The two approaches agree because our fit is well behaved. There is a single minimum for χ^{2}, and the posterior distribution is close to a 14dimensional Gaussian (Fig. E.3), with significant correlations, however. Figure E.1 shows the posterior for f_{SP}.
Fig. E.1. Result of the MCMC modelling of our data, showing the posterior distribution of the Schwarzschild parameter f_{SP}. 

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Bestfit orbit parameters.
In Fig. E.2 we show selected correlation plots from the posterior distribution, which are worth discussing in the context of f_{SP}. The strongest correlation for f_{SP} is with the pericentre time. This is not surprising, given the discussion in Appendix B, where we showed that near pericentre the SP acts like a shift in time. The second strongest correlation for f_{SP} is with the RA offset of the coordinate system. This explains why including the NACO flare data helps determining f_{SP}: the flares essentially measure the offset of the coordinate system.
Fig. E.2. Selected parameter correlations from the 14dimensional posterior distribution as determined from MCMC modelling. 

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Fig. E.3. Full, 14dimensional posterior distribution of our orbit fit. 

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The parameter f_{SP} is also weakly correlated with the semimajor axis a and it is anticorrelated with the eccentricity e of the orbit. The former can be understood in the following way: If the orbit were slightly larger on sky, a stronger precession term would be required in order to achieve the same amount of kink (in mas on sky) at pericentre. The latter is understood similarly: A higher eccentricity leads to a narrower orbit figure, and hence less of the precession term would be needed. Interestingly, f_{SP} is almost uncorrelated with the argument of periapsis ω (i.e. the angle describing the orientation of the orbital ellipse in its plane), despite that the SP changes exactly that parameter.
The strongest correlation between any two parameters for our fit is the well known degeneracy between mass M_{•} and distance R_{0} (Ghez et al. 2008; Gillessen et al. 2009a, 2017; Boehle et al. 2016; GRAVITY Collaboration 2018a, 2019). The parameter f_{SP} is only very weakly correlated with R_{0}.
All Tables
All Figures
Fig. 1. Summary of the observational results of monitoring the S2Sgr A* orbit from 1992 to the end of 2019. Left: SHARP, NACO (black points), and GRAVITY (blue points) astrometric positions of the star S2, along with the bestfitting GR orbit (grey line). The orbit does not close as a result of the SP. The mass centre is at (0,0), marked by the cross. All NACO and SHARP points were corrected for a zeropoint offset and drift in RA and Dec. The red data points mark the positions of the infrared emission from Sgr A* during bright states, where the separation of S2 and Sgr A* can be directly inferred from differential imaging. Right: RA (top) and Dec (middle) offset of S2 (black and blue) and of the infrared emission from Sgr A* (red) relative to the position of Sgr A* (assumed to be identical with the mass centre). Grey is the bestfitting GRorbit including the Rømer effect (finite speed of light), SRT, and GR to PPN1. We assumed f_{RS} = 1 and fitted for f_{SP}. Bottom right: same for the lineofsight velocity of the star. 

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In the text 
Fig. 2. Posterior analysis of all data by fitting for f_{SP} simultaneously with all other parameters. As in Fig. B.2, the bottom panels show the residuals in RA (left) and Dec (right) between the data and the bestfitting GR (thick red curve, f_{SP} = 1.1), relative to the same orbit for f_{SP} = 0 (Newton, plus Rømer effect, plus SRT, plus RS). Grey crosses denote individual NACO or SINFONI data, cyan filled black circles show averaged GRAVITY data, and grey rectangles denote averages of the NACO data. Top right panel: same for δφ, and top left panel: for δvz. Blue filled black circles are averages of the SINFONI residuals, with all residuals shown as grey crosses. The best fit (red curve) including the flare data (Fig. 1) has f_{SP} = 1.1, with a 1σ uncertainty of 0.19. The overall reduced of this fit is 1.5. 

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In the text 
Fig. 3. As Fig. 2, but now zooming into the critical 2018 pericentre residuals (bestfit f_{SP} = 1.1 minus f_{SP} = 0, with all other parameters fixed). Bottom two and top right panels: blue filled, open black circles (with 1σ uncertainties) are averages of GRAVITY data. The grey bar on the left denotes the constraints obtained from NACO imagery of S2 and Sgr A* flares on the location of the apocentre value (2010.35). Averages (and 1σ uncertainties) of the radial velocity residuals from SINFONI are open black, blue filled circles (top left). The residuals of the bestfitting f_{SP} = 1.1 minus f_{SP} = 0 curves are plotted in red. 

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In the text 
Fig. A.1. Example of a unary fit for a fiveminute exposure on Sgr A* from April 22, 2019, 06:39:55. Top: phase Φ as a function of projected baseline vector u for the spolarisation channel. Per baseline, eight spectral channels were included here. The black line is a unary model, which yields the offset from the interferometer pointing position to ΔRA = 322 ± 9 μas and ΔDec = 301 ± 8 μas (formal fit errors). Bottom: the visibility modulus for the same data is constant and close to unity, consistent with the choice of fitting a single point source. 

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In the text 
Fig. A.2. Example of a binary fit from July 8, 2017, 03:27:51. The observed visibility modulus shows strong modulation, the signature of an interferometrically resolved binary. The lines show the model for the six baselines, which includes the separation vector. The formal uncertainty in this example fit is 8 μas per coordinate. 

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In the text 
Fig. A.3. Astrometric (left) and spectroscopic (right) 1σ statistical measurement uncertainties of S2 over time. Left panel: almost 100fold improvement in astrometric precision in RA and Dec, from the early period of speckle imagery with SHARP on the 3.5 m NTT (until 2001), then the AO imagery with NACO on the 8 m VLT (> 2002), and then, since 2016.7, the interferometric astrometry of GRAVITY combining all four 8 m telescopes of the VLT. The grey vertical lines are the two pericentre passages (2002.33 and 2018.38) covered by our data set. 

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In the text 
Fig. A.4. Twodimensional phase maps used for correcting the effects of static aberrations in the binary fitting. Top row: compares simulations of a perfect Airy pattern (left) to a static astigmatism with 180 nm rms over the full pupil. The white circle in the top right panel shows the extent of the measured phase maps. One example for such a map is shown below, before (left) and after (right) applying a Gaussian kernel accounting for atmospheric smoothing. The black line in the lower right panel indicates the trace where S2 was located, as predicted by the orbit. 

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In the text 
Fig. A.5. Comparison of the theoretical amplitude map smoothed with atmospheric AO residuals (left) and the measured map smoothed with a Gaussian kernel to match the onsky measured width (right). The FWHM for the left panel is 87 mas, and for the right panel it is 88 mas. 

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In the text 
Fig. B.1. Advance of skyprojected apocentre angle δφ, per orbital period, as a function of year. 

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In the text 
Fig. B.2. Theoretical expectations for the effect of the Schwarzschild precession on the orbit of the star S2. Here we took the bestfit parameters of the S2 orbit, and computed two model orbits, one for f_{SP} = 0 (Newton, plus Rømer effect, plus SRT, plus RS), and one for f_{SP} = 1 (Eq. (C.1)). The grey (2018.38) and blue (2002.34) vertical lines are the pericentre times. We arbitrarily set the precession angle of the SP orbit to 0 during apocentre 2010.35. Top panels: residuals of δvz (left) and δφ (right) between the f_{SP} = 1 and f_{SP} = 0 orbits. Bottom panels: same for δRA (left) and δDec (right). Middle panels: vz (left) and φ (right) as a function of time. Here, φ is the position angle of the star on the sky, φ = arctan(RA/Dec), running from 359° when the star is straight north, or northwest of centre, to 180° when it is straight south, to > 0° when it is just northnorth east of centre. The most fundamental aspect of the precession is seen in the top right panel as a change in δφ by ≈14′ between two apocentres. Because the precession strongly depends on radius, the precession is very fast around pericentre (2018.38) in a highly elliptical orbit, so that within ≈1 year of pericentre ≈75% of the precession has occurred. To first order, the precession leads to a change in time when the star is found at a given angle φ on the sky, relative to the nonprecessing orbit. Because the functional form of φ(t) is close to a step function, the differencing δφ(t) = φ_{SP = 1}(t)−φ_{SP = 0}(t) is close to a differentiation dφ/dt, which thus results in a sharp δfunction in the residuals δφ(t) near pericentre. In velocity space a similar effect occurs in the residuals as well, although vz(t) is not as symmetric in t relative to t_{peri}. Finally in δRA and δDec (bottom panels), the effect of the precession results in a “kink” in the orbit coordinate time slope. Because of the variations in the foreshortening of the RA and Dec coordinates of the apocentre values of the δRA, δDec and δφ the SP = 1 vs. SP = 0 curves vary over time (Fig. B.1). The projected precession on the sky between the apocentres 2010.35 and 2026.5 is ≈14′. 

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In the text 
Fig. C.1. Interpretation of our measurement in the plane of the PPN parameters β and γ. Our value for f_{SP} and its uncertainty are represented by the black line and grey band. The GR value f_{SP} = 1 is the blue line, and the Newtonian value f_{SP} = 0 is the green line. The best approximations to the orbits by PPN parameters are shown by the orange dotted line. Assuming GR is a PPN theory, our measurement corresponds to the white circle at the intersection point and the uncertainties are the adjacent black thick lines. 

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In the text 
Fig. D.1. Constraints on the enclosed mass in the central 10 pc of the Galaxy. The blue crossed circle, the pink triangle, and the black crossed rectangles are estimates of the enclosed mass within the S2 orbit, other Sstars and the massive star discs (Paumard et al. 2006; Bartko et al. 2009; Yelda et al. 2014). The red filled circles, the red crossed rectangle, and red open triangles denote mass measurements from latetype stars. Green triangles are mass estimates from rotating gas in the circumnuclear disc (see Genzel et al. 2010 for details). The filled black rectangle comes from the clockwise loopmotions of synchrotron nearinfrared flares (GRAVITY Collaboration 2018b). The cyan double arrow denotes current VLBI estimates of the 3 mm size of Sgr A* (Issaoun et al. 2019). The continuous magenta line shows the total mass from all stars and stellar remnants (Alexander 2017). The grey line marks the distribution of K < 18.5 subgiants and dwarfs from Schödel et al. (2018). The black dashed lines and the cyan line indicate the distribution of stellar black holes and neutron stars from theoretical simulations of Alexander (2017) and Baumgardt et al. (2018), which span a range of roughly a factor 5. Red, black and green upper limits denote upper limits on giants, mainsequence B stars and K < 19 GRAVITY sources. The Schwarzschild radius of a 4.26 × 10^{6} M_{⊙} black hole and the innermost stable circular orbit radius for a nonspinning black hole are given by red vertical lines. The pericentre radius of S2 is the dashed vertical blue line and the sphere of influence of the black hole is given by the vertical green line. The blue horizontal line denotes the 2σ upper limit of any extended mass around Sgr A* obtained from the lack of retrograde precession in the S2 orbit (see text). 

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In the text 
Fig. D.2. Limits on a second, intermediate mass black hole (IMBH), as a function of its mass and separation from Sgr A*. The shaded area is excluded observationally. Adapted from Gualandris & Merritt (2009). The blue shaded regions are due to the lack of observed motion of Sgr A* at radio wavelengths (Hansen & Milosavljević 2003, HM03). The data from Reid & Brunthaler (2004, RB04) and Reid & Brunthaler (2020, RB20) improve these limits. The upper bound results from the limit on the 3D velocity v_{3D} ≲ 8 km s^{−1} (RB04) and ≲3 km s^{−1} (RB20). The lower bound results from the absence of shortperiod fluctuations in the position, with limits of 1 mas and 0.5 mas in RB04 and RB20. Yu & Tremaine (2003) set a limit from the ejection rates of hypervelocity stars if an IMBH were present in the GC (YT03). The bottom area is excluded because the gravitational wave inspiral time scale T_{GW} would be < 10 Myr. Naoz et al. (2020) exclude the green shaded area by demanding that the S2 orbit be stable, taking into account resonant effects from the IMBH. Beyond the ranges given in the original work, the constraints get weaker (fading colour). The area labeled GM09 is excluded by Gualandris & Merritt (2009), who calculated the effect of an IMBH on the distribution of stellar orbits. Their original box extends to higher masses (shaded area to right). A first constraint from the orbit data of S2 was given in Gillessen et al. (2009a). Extending the orbital coverage in a simulation to the 2018 pericentre passage Gualandris et al. (2010) concluded that from a lack of extra residuals one should be able to exclude the area right of the dotted line (GGM10). GRAVITY improved the accuracy compared to these simulations by a factor 4.6, which moves the limit further to lower masses (redshaded region). All but a 10^{2} − 10^{3} M_{⊙} IMBH inside or just outside of S2’s orbit is now excluded by the various measurements. This also excludes the configurations Merritt et al. (2009) found to be efficient in randomizing the Sstar orbits. 

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In the text 
Fig. D.3. Comparison of tests of GR in the plane of mass and potential, adapted from Psaltis (2004). Black: terrestrial laboratories, Mercury’s precession, light deflection, and Shapiro delay in the Solar System, the HulseTaylor pulsar, the LIGO detections, the relativistic Kα lines, and the M 87 EHT observation. LISA signals will probe the grey rectangular region. This work, using S2, is marked in blue. 

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In the text 
Fig. E.1. Result of the MCMC modelling of our data, showing the posterior distribution of the Schwarzschild parameter f_{SP}. 

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In the text 
Fig. E.2. Selected parameter correlations from the 14dimensional posterior distribution as determined from MCMC modelling. 

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In the text 
Fig. E.3. Full, 14dimensional posterior distribution of our orbit fit. 

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In the text 
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