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VVV Survey Microlensing Events in the Galactic Center Region

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Published 2017 December 6 © 2017. The American Astronomical Society. All rights reserved.
, , Citation María Gabriela Navarro et al 2017 ApJL 851 L13 DOI 10.3847/2041-8213/aa9b29

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2041-8205/851/1/L13

Abstract

We search for microlensing events in the highly reddened areas surrounding the Galactic center using the near-IR observations with the VISTA Variables in the Vía Láctea Survey (VVV). We report the discovery of 182 new microlensing events, based on observations acquired between 2010 and 2015. We present the color-magnitude diagrams of the microlensing sources for the VVV tiles b332, b333, and b334, which were independently analyzed, and show good qualitative agreement among themselves. We detect an excess of microlensing events in the central tile b333 in comparison with the other two tiles, suggesting that the microlensing optical depth keeps rising all the way to the Galactic center. We derive the Einstein radius crossing time for all of the observed events. The observed event timescales range from tE = 5 to 200 days. The resulting timescale distribution shows a mean timescale of $\langle {t}_{{\rm{E}}}\rangle =30.91$ days for the complete sample (N = 182 events), and $\langle {t}_{{\rm{E}}}\rangle =29.93$ days if restricted only for the red clump (RC) giant sources (N = 96 RC events). There are 20 long timescale events (${t}_{{\rm{E}}}\geqslant 100$ days) that suggest the presence of massive lenses (black holes) or disk–disk event. This work demonstrates that the VVV Survey is a powerful tool to detect intermediate/long timescale microlensing events in highly reddened areas, and it enables a number of future applications, from analyzing individual events to computing the statistics for the inner Galactic mass and kinematic distributions, in aid of future ground- and space-based experiments.

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1. Introduction

The idea proposed by Paczyński (1986), based on the works of Einstein (1916, 1936), that microlensing events can be detected by measuring the intensity variations of millions of stars was highly successful. In particular, the main groups dedicated to observe the Galactic bulge like the Massive Astrophysical Compact Halo Objects (MACHO; Alcock et al. 1993), the Optical Gravitational Lensing Experiment (OGLE; Udalski et al. 1993), the Microlensing Observations in Astrophysics (MOA; Bond et al. 2001), the Expérience pour la Recherche d'Objets Sombres (EROS; Aubourg et al. 1993), the Disk Unseen Objects (DUO; Alard et al. 1995), the Wide-field Infrared Survey Explorer (WISE; Shvartzvald & Maoz 2012) and the Korea Microlensing Telescope Network (KMTNet; Kim et al. 2010, 2017), discovered thousands of events to date in the bulge. These are all optical surveys, and necessarily monitored the regions with low relative extinctions toward the bulge. The innermost regions close to the Galactic center, which are not only severely crowded, but also heavily obscured by interstellar dust, have remained hidden for microlensing up to now. However, these regions are very interesting because this is where we expect to find the highest number of microlensing events and presumably also the largest microlensing optical depth because of the high density of stars (Gould 1995).

Fortunately, in the near-IR, we can penetrate through the gas and dust in this region to detect microlensing events. The first such near-IR study was successfully carried out recently by Shvartzvald et al. (2017), who found five highly extinguished microlensing events between 1 and 2 degrees from the Galactic center. The VISTA Variables in the Vía Láctea Survey (VVV; Minniti et al. 2010) is a near-IR variability Survey that scans 560 square degrees in the inner Milky Way using the Visible and Infrared Survey Telescope for Astronomy (VISTA), a 4 m telescope located at ESO's Cerro Paranal Observatory in Chile. The main goal of the VVV survey is to create a 3D map of the inner Galaxy, mainly using the Ks-band to search for variable stars as distance indicators and tracers of stellar populations. At the same time, the VVV survey is an excellent tool to detect microlensing events. Even though the VVV survey cadence (nightly at best) is inadequate to routinely detect objects associated with short timescales that should be numerous in the Galactic center region (Gould 1995), this is sufficient to perform a census of microlensing events toward the central most part of the Galaxy.

The analysis of a complete a sample of microlensing events in the central part of the Galaxy has many applications, ranging from the study of the most interesting isolated events: for example, the ones that have long durations which statistically favor more massive lenses to large statistical studies of Galactic structure and evolution. For the latter, the distribution of timescales can be useful to test the different possible scenarios for the structure and evolution of the inner part of the Galaxy (Calchi Novati et al. 2008; Sumi et al. 2013). We note that as the timescale is a degenerate combination of lens mass, and lens-source relative parallax and proper motion, it is necessary to include Galactic models related to specific populations. Moreover, the study of the event rate can be extremely useful to optimize the observational campaign for the Wide Field Infrared Space Telescope (WFIRST; Green et al. 2012; Spergel et al. 2015), and as complementary to the pioneering work published by Shvartzvald et al. (2017).

The purpose of this paper is to present the first large sample of microlensing events in the Galactic center area using the VVV data. In this work, we use the simple model of lensing by an isolated point mass (PSPL). We derive the Einstein radius crossing time distribution of the observed events. We also characterize the microlensing sources using the available near-IR photometry. For the future, we propose to extend the spatial and temporal range of the sample to compare the observed distributions with the most recent Galactic models and to analyze selected events.

In Section 2, we describe the data used in this research and the procedure that was carried out to detect the microlensing events. The characterization of the final sample is shown in Section 3. Finally, the conclusions are presented in Section 4.

2. The Search for Microlensing around the Galactic Center

The VISTA telescope is equipped with the Wide-field VISTA InfraRed Camera (VIRCAM; Emerson & Sutherland 2010) containing 67 million pixels (16 chips of 2048 × 2048 pixels). The Field of View (FoV) is $1.501\,{\deg }^{2}$, which is called a "tile." The entire VVV observations comprise 196 tiles in the bulge and 152 in the disk area (Saito et al. 2012). The VVV observational schedule includes single-epoch photometry in ZYJHKs bands and variability campaign in Ks band (Minniti et al. 2010). In this work, we focus on the innermost tiles of the VVV (b332, b333 and b334), where the crowding is so severe that PSF photometry is mandatory. Accordingly, the photometric reduction of each detector was carried out using the DAOPHOT II/ALLSTAR package (Stetson 1987), and the catalogs made at the Cambridge Astronomical Survey Unit (CASU) with the VIRCAM pipeline v1.3 (Irwin et al. 2004) were used to calibrate our photometry into the VISTA system by means of a simple magnitude shift using several thousands stars in common (see Contreras Ramos et al. 2017). We specifically applied this procedure separately on each detector of the tiles b332, b333, and b334 located within $1\buildrel{\circ}\over{.} 68\geqslant l\geqslant -2\buildrel{\circ}\over{.} 68$ and $0\buildrel{\circ}\over{.} 65\geqslant b\geqslant -0\buildrel{\circ}\over{.} 46$ in the Galactic bulge. We detected a total of approximately $14\times {10}^{6}$ point sources in these three tiles, for which multi-epoch magnitudes in the Ks-band were measured. The reduced data included about 100 epochs spanning six seasons (2010–2015) of observations.

The search of events was performed by means of a new reduction code specially developed for microlensing detections. Contrary to the classical variable star detection, our approach has been optimized to keep those events showing a few deviating points with a transient magnification of the apparent brightness, which would be likely rejected using the classical variability indexes. This procedure delivers a quality index for each light curve related to how similar it is with a microlensing curve. It is then necessary to cull the sample by selecting the curves with higher quality indices for subsequent visual inspection, but before that it is crucial to perform the fitting procedure using the simplest model, assuming a point source and a point lens (PSPL; Refsdal 1964). Where $F={F}_{s}A(u(t))$, with F being the observed and Fs the catalog source flux, for their non-blended fits. The amplification $A(u(t))$ and the angular distance between the lens and the source projected on the plane of the lens in Einstein radii units u(t) can be written as

Equation (1)

Equation (2)

The standard microlensing model delivers the u0 related to the impact parameter and thus with the amplitude of the light curve, the time of maximum amplification t0 and the Einstein radius crossing time tE. The fitting procedure was performed twice, also including the blending parameter fbl which we expect to be non-negligible in this region, in this case $F={F}_{s}[{f}_{\mathrm{bl}}(A(u)-1)+1]$. Figure 1 shows five examples of our near-IR microlensing light curve fits. In all cases, consistent results were found using both procedures.

Figure 1.

Figure 1. Sample microlensing light curves and best fits. The first four events indicated in the upper panel are located in the Red Clump. The fits with (blue line) and without blending (magenta) are indistinguishable and overlap with each other, yielding similar parameters.

Standard image High-resolution image

At the visual inspection stage, the following requirements were applied for the curve to be qualified as a microlensing event:

  • 1.  
    Constant baseline;
  • 2.  
    Baseline covering more than one season;
  • 3.  
    At least four points with 4σ above the baseline;
  • 4.  
    At least one data point in the rising and falling microlensing light curve;
  • 5.  
    Symmetry during the event;
  • 6.  
    Timescales within an acceptable range to avoid confusions with long period variable stars; and
  • 7.  
    Good fit to single microlensing curve.

The final sample was divided in two groups. The 182 first quality microlensing events that satisfy all the requirements mentioned above (Table 1), and a second quality list with events showing an evident microlensing light curve, but not meeting all the requirements listed above. We also notice that the last condition eliminated a few good candidate binary events. Hereafter, we will only deal with the high-quality sample, and the individual study of these other cases is deferred for the future.

Table 1.  VVV Survey First Quality Microlensing Events Data with Their Respective Positions in Equatorial Coordinates, Baseline Ks Magnitude, Color, and the Parameters Obtained Using the Standard Microlensing Model Including the Blending (fbl)

Tile ID R.A. Decl. Ks J − K Amp u0 t0 tE fbl Comment
        (mag) (mag)     (MJD) (days)    
b332 14-26290 265.09996 −31.37107 15.56 3.28 1.47 0.45 56437.69 112.43 1.00 RC
b332 14-55860 265.16328 −31.41736 15.72 3.81 6.36 0.11 57243.97 40.78 1.00 RC
b332 16-32398 264.84333 −30.69719 15.44 4.31 3.60 0.22 56181.72 21.25 1.00 RC
b332 18-36548 265.43515 −30.96762 13.20 5.61 1.48 0.41 55792.95 13.93 1.00  
b332 18-41105 265.38645 −31.05165 15.34 3.50 1.81 0.14 56478.57 72.58 0.15 RC
b332 68-5694 265.48753 −30.75808 15.30 3.70 0.68 0.48 55783.51 10.50 1.00 RC
b332 68-14868 265.49243 −30.78767 16.02 3.84 2.21 0.32 56487.96 34.08 1.00 RC
b332 68-39711 265.50969 −30.87205 12.51 6.72 1.72 0.38 56484.66 34.32 0.98  
b332 68-43156 265.48090 −30.92659 16.64 2.76 8.24 0.05 56488.58 43.10 0.54  
b332 110-61443 265.06127 −30.50046 15.13 3.69 1.07 0.05 56046.39 62.43 1.00 RC
b332 110-74031 265.16668 −30.40049 13.26 3.75 0.46 0.46 56552.93 64.47 0.33 RC
b332 114-43783 265.32371 −30.07666 14.59 3.65 0.79 0.65 56090.08 29.69 1.00 RC
b332 21-40061 264.31254 −30.77783 16.64 2.98 2.39 0.30 56558.71 16.99 1.00  
b332 23-82719 264.88706 −31.20422 12.96 4.10 1.23 0.48 56895.29 19.22 1.00  
b332 27-8503 264.90537 −30.87510 13.90 4.75 0.60 0.67 56202.48 12.00 0.55 RC,O
b332 27-15159 264.99483 −30.77833 13.94 4.59 2.02 0.25 56118.66 14.81 1.00 RC
b332 27-31227 264.99579 −30.84077 13.13 86.88 0.46 0.84 55799.69 16.49 1.00  
b332 27-38227 265.03919 −30.80838 13.77 5.26 4.24 0.19 56874.75 40.70 0.96  
b332 34-1193 264.93179 −31.15614 16.53 2.25 8.34 0.05 55792.34 116.06 0.45  
b332 34-4022 264.95451 −31.13701 17.03 2.00 0.85 0.19 55783.65 16.44 0.48  
b332 34-57640 265.02460 −31.25104 16.08 83.92 1.59 0.13 56163.10 56.19 0.28  
b332 38-16855 265.12081 −30.96135 15.72 84.26 1.07 0.37 56491.21 21.31 0.71  
b332 44-42130 265.07155 −31.13005 17.27 82.68 7.98 0.09 55799.68 36.05 1.00  
b332 48-5228 265.23875 −30.75368 16.05 83.94 0.75 0.62 56107.66 29.69 1.00  
b332 48-81289 265.46393 −30.74961 15.83 3.99 3.87 0.21 57249.02 65.75 1.00 RC
b332 51-54921 264.45830 −30.63581 16.77 2.17 1.41 0.05 56135.92 83.84 0.11  
b332 59-16446 264.73652 −30.09485 15.72 1.84 1.47 0.41 56090.41 10.66 1.00  
b332 59-26357 264.79947 −30.04314 12.87 2.15 9.87 0.05 56196.62 23.67 0.55 RC
b332 66-77202 265.00700 −30.63918 14.98 3.89 0.53 0.81 55812.01 96.44 1.00 RC
b332 211-37537 265.29213 −30.44556 11.48 4.16 0.46 0.36 55833.97 12.92 1.00  
b332 213-59426 264.96048 −29.96142 13.71 2.15 0.33 1.00 56484.12 51.61 0.90 RC
b332 213-72294 264.97054 −29.99633 13.12 2.71 0.66 0.71 56149.62 43.19 1.00 RC
b332 310-80902 264.98350 −30.33055 16.95 2.33 1.35 0.05 55813.77 113.55 0.10  
b332 310-100917 265.05852 −30.29863 15.82 84.23 1.78 0.05 56517.63 104.76 0.20  
b332 312-5320 265.30551 −30.66024 16.36 83.29 6.39 0.05 55787.84 25.27 1.00  
b332 410-53003 265.00924 −30.19381 14.43 2.94 0.86 0.55 57202.94 72.14 1.00 RC
b332 414-8102 265.14228 −29.85276 13.76 2.45 0.39 0.49 56200.05 15.87 0.36 RC
b332 414-18576 265.15753 −29.87074 13.66 86.34 1.57 0.09 55812.30 22.84 0.61  
b332 414-69038 265.26596 −29.91121 15.92 3.36 2.42 0.28 56495.48 26.85 1.00  
b332 511-90196 265.46836 −30.39392 15.24 4.58 1.55 0.33 56062.48 72.79 1.00 RC
b332 513-61175 265.06202 −29.82790 16.24 2.33 3.23 0.28 56120.77 116.70 1.00  
b332 515-19885 265.52832 −30.05048 13.80 2.41 0.70 0.20 55790.66 29.83 0.17 RC
b332 610-23832 265.17869 −30.19984 13.64 3.28 0.24 0.31 57271.00 25.02 0.25 RC
b332 610-47014 265.21751 −30.22933 13.48 2.85 0.32 1.00 56085.32 6.49 0.95 RC
b332 610-78499 265.26797 −30.27310 12.92 3.13 0.65 0.66 56451.52 69.02 1.00 RC
b332 610-97533 265.29367 −30.30727 13.22 3.77 0.29 1.00 56059.03 58.48 0.99 RC
b332 614-45372 265.35913 −30.03531 12.38 4.11 3.89 0.21 56732.81 91.71 1.00 O
b332 616-24844 265.94883 −30.18384 15.19 2.72 1.35 0.05 57239.33 77.31 0.17 RC
b333 12-42539 265.50396 −29.81472 16.76 83.01 1.75 0.40 56124.13 14.24 1.00  
b333 12-69304 265.52124 −29.88285 14.33 3.72 0.81 0.18 56825.95 76.48 0.16 RC
b333 14-55156 266.02807 −30.18754 16.74 83.32 4.38 0.05 56015.03 85.21 1.00  
b333 23-1263 265.57612 −29.91941 14.86 4.49 7.37 0.05 56036.53 23.22 0.39 RC
b333 23-4699 265.66126 −29.81254 13.17 2.71 0.41 0.65 56123.65 21.74 0.48 RC
b333 27-90082 265.96369 −29.68600 14.35 5.36 0.80 0.30 57248.76 30.11 0.36 RC
b333 211-1492 266.00663 −29.31280 14.73 4.72 4.63 0.05 56038.23 23.05 0.33 RC
b333 211-15629 266.08567 −29.24704 12.31 4.71 1.40 0.42 56123.94 28.73 0.90  
b333 211-17696 266.05926 −29.29131 17.01 4.35 4.11 0.05 56101.05 25.88 1.00  
b333 213-8425 265.80896 −28.57501 14.13 3.28 3.07 0.11 57251.15 42.03 0.67 RC
b333 215-18630 266.33176 −28.90853 14.83 85.15 4.41 0.18 55998.65 23.59 1.00  
b333 16-86247 265.76515 −29.60036 17.13 82.82 1.64 0.28 56838.36 10.89 1.00  
b333 21-1306 265.02993 −29.64241 12.73 2.05 1.66 0.37 56037.80 7.73 1.00  
b333 21-106713 265.21343 −29.75273 15.37 1.50 7.18 0.05 56019.43 125.27 1.00  
b333 25-1139 265.33053 −29.21758 15.03 1.95 5.17 0.05 56036.98 10.91 1.00  
b333 25-13345 265.28460 −29.32971 14.17 2.12 6.51 0.05 57279.95 34.81 0.95 RC
b333 25-69718 265.43930 −29.32309 15.60 4.25 1.60 0.08 56864.43 111.72 0.22 RC
b333 29-89508 265.63252 −29.09897 15.33 4.41 1.96 0.20 56373.39 8.85 0.79 RC
b333 110-14235 265.92726 −29.11678 14.80 4.63 1.70 0.39 56024.59 18.96 1.00 RC
b333 110-84253 266.00399 −29.24772 12.38 4.87 0.66 0.56 56823.78 5.71 1.00  
b333 110-103868 266.02570 −29.28402 13.30 5.48 1.16 0.31 55812.12 14.90 1.00  
b333 513-21168 265.92994 −28.44640 14.04 2.44 3.43 0.14 56833.34 9.94 0.53 RC
b333 18-90199 266.33387 −29.88208 14.42 85.57 1.00 0.39 56175.52 13.72 1.00  
b333 32-17832 265.34470 −29.60216 14.52 85.46 6.09 0.13 56037.96 24.85 1.00  
b333 32-64434 265.36278 −29.73430 15.41 3.36 1.92 0.28 57170.22 13.98 0.81 RC
b333 32-65431 265.42744 −29.64701 13.14 3.39 1.97 0.09 56029.38 18.91 0.72 RC
b333 32-75883 265.42179 −29.69092 14.30 3.84 2.41 0.29 56136.14 22.44 0.96 RC
b333 34-42751 265.85305 −30.03220 14.46 85.56 1.19 0.05 56474.62 115.65 0.06  
b333 34-49917 265.94819 −29.92529 16.42 83.49 7.44 0.05 56017.23 147.62 1.00  
b333 34-81174 265.94033 −30.05182 12.97 4.07 1.01 0.56 56032.42 54.66 1.00  
b333 36-26139 265.52159 −29.38604 17.23 2.75 2.85 0.17 56038.73 11.96 0.60  
b333 36-36965 265.58457 −29.33481 14.98 3.71 6.46 0.05 56509.76 27.33 0.71 RC
b333 42-1507 265.35617 −29.53228 11.47 3.51 1.31 0.17 56841.00 22.34 1.00 O
b333 42-4246 265.37832 −29.51096 11.57 3.48 0.60 0.16 56085.67 60.87 0.12  
b333 44-97159 266.06948 −29.93123 14.02 4.98 0.66 0.05 56893.72 12.66 1.00 RC, O
b333 46-40910 265.71181 −29.17016 14.83 4.46 1.33 0.36 56060.26 51.03 1.00 RC
b333 51-33207 265.26581 −29.42843 13.42 3.03 2.60 0.20 56144.52 10.97 0.65 RC
b333 53-62793 265.84453 −29.75693 14.23 1.97 0.49 0.61 56417.41 62.10 1.00  
b333 57-41448 266.02671 −29.42235 13.67 5.70 0.78 0.54 56821.26 14.30 1.00  
b333 59-11271 265.64080 −28.81314 15.95 3.03 3.10 0.23 57249.42 54.24 1.00  
b333 62-70519 265.72288 −29.59623 16.97 82.98 5.58 0.12 56019.40 51.48 1.00  
b333 64-31424 266.18966 −29.86641 14.64 3.59 0.72 0.68 56094.53 13.64 1.00 RC
b333 64-49508 266.15813 −29.97755 15.35 84.70 4.62 0.05 56071.79 121.84 0.67  
b333 64-96023 266.29007 −29.97366 14.67 4.19 5.40 0.14 56184.72 25.38 1.00 RC
b333 66-21828 265.78826 −29.34844 16.30 83.68 3.29 0.24 55780.57 86.78 1.00  
b333 66-52469 265.85955 −29.35649 14.71 4.41 1.69 0.36 56857.92 40.88 1.00 RC
b333 68-104841 266.51787 −29.66045 14.31 4.72 4.07 0.05 56506.52 27.79 1.00 RC
b333 112-106497 266.65154 −29.47018 14.78 4.29 3.24 0.05 56566.06 29.37 1.00 RC
b333 114-13230 266.08843 −28.88644 15.08 4.36 4.14 0.09 56490.79 50.01 0.54 RC
b333 114-46792 266.22084 −28.81652 10.72 4.59 1.24 0.46 56811.23 42.69 0.97  
b333 116-37815 266.66043 −29.21073 13.77 4.58 1.07 0.44 56099.16 10.14 1.00 RC
b333 116-79669 266.81518 −29.13610 12.81 4.72 0.22 1.00 56061.13 32.72 0.74  
b333 310-29281 265.78988 −29.01572 13.91 3.97 0.67 0.16 56151.46 11.15 0.25 RC
b333 310-79969 265.80993 −29.16381 13.83 3.82 1.32 0.05 56042.08 12.42 0.39 RC
b333 310-96589 265.82793 −29.19609 13.44 4.32 1.55 0.41 56044.91 18.08 1.00  
b333 312-2696 266.19753 −29.39797 16.01 83.86 3.76 0.05 56010.00 86.72 1.00  
b333 312-44070 266.28416 −29.41028 12.69 87.31 1.06 0.55 56375.82 12.48 1.00  
b333 312-62428 266.36750 −29.35349 12.52 6.83 0.95 0.10 56925.41 108.42 0.16  
b333 314-29796 265.94244 −28.80337 14.66 3.66 0.78 0.64 56384.91 69.60 1.00 RC
b333 314-55699 266.06406 −28.72311 15.59 3.89 2.00 0.05 56493.50 13.00 1.00 RC
b333 314-77236 266.03154 −28.84794 13.92 3.94 0.21 0.67 56160.58 26.26 0.30 RC
b333 316-15279 266.48065 −29.03126 14.83 4.67 0.82 0.05 56189.99 8.04 1.00 RC
b333 316-40378 266.53643 −29.03117 13.76 5.29 0.73 0.67 56811.65 61.01 1.00  
b333 316-90842 266.62655 −29.07436 12.75 5.38 2.38 0.19 56813.44 14.90 0.83  
b333 316-100780 266.62076 −29.11919 14.58 2.10 1.71 0.41 56125.07 20.65 1.00 RC
b333 410-7976 265.84798 −28.85905 11.51 5.12 1.22 0.47 55801.43 29.85 1.00  
b333 412-26866 266.43900 −29.12995 12.49 5.17 1.49 0.44 57225.16 126.32 1.00  
b333 414-25228 266.02719 −28.66408 15.22 3.78 3.74 0.05 56525.74 67.09 0.51 RC
b333 414-49757 266.09186 −28.65845 13.23 86.78 1.74 0.29 56087.28 32.52 0.70  
b333 416-65395 266.66200 −28.93446 13.07 86.94 0.57 0.76 56159.63 24.51 1.00  
b333 515-29074 266.46354 −28.75120 14.39 85.59 1.40 0.44 57276.83 51.74 1.00  
b333 515-45486 266.51525 −28.73049 13.48 3.26 0.81 0.58 57187.48 43.37 1.00 RC
b333 515-49289 266.46807 −28.81187 12.65 4.48 1.33 0.35 57114.57 184.52 1.00  
b333 610-11467 265.98079 −29.03053 12.35 4.53 0.32 0.89 56514.01 30.38 0.71  
b333 610-36012 266.06155 −28.99876 12.33 4.41 0.22 0.80 56417.64 38.71 1.00  
b333 610-40425 266.08328 −28.98288 13.74 4.28 3.07 0.21 56138.31 13.54 0.96 RC
b333 610-50685 266.12013 −28.96453 13.32 4.80 1.84 0.36 56114.15 28.78 1.00  
b333 612-80860 266.71318 −29.28126 14.95 4.97 1.18 0.50 56035.82 5.69 1.00 RC
b333 612-98993 266.67770 −29.40080 12.69 4.45 0.88 0.33 57261.87 37.54 0.42  
b333 614-70531 266.34156 −28.72281 14.24 4.94 0.47 0.65 56095.26 50.27 0.57 RC
b333 614-84336 266.35631 −28.74884 14.35 4.61 6.74 0.05 57260.35 38.69 1.00 RC
b333 614-94658 266.41497 −28.69935 12.85 4.16 1.49 0.26 56121.04 6.49 0.97  
b334 16-74959 266.61660 −28.34858 14.75 5.69 2.39 0.24 56128.88 26.20 0.72 RC
b334 21-23644 265.97740 −28.38942 14.50 3.24 1.54 0.42 55820.68 11.43 1.00 RC
b334 34-25019 266.68395 −28.78282 14.66 5.83 1.66 0.40 56173.57 64.33 1.00 RC
b334 34-82386 266.88664 −28.72094 12.37 6.28 1.67 0.00 55992.50 47.02 0.20  
b334 36-13718 266.32706 −28.19646 14.46 2.39 3.59 0.17 57251.46 45.42 1.00 RC
b334 36-20307 266.40409 −28.10910 13.34 3.78 1.05 0.38 56856.98 15.42 1.00 RC
b334 36-83203 266.50899 −28.18965 17.28 2.53 13.40 0.02 56126.77 31.55 0.35  
b334 38-32772 266.99787 −28.35616 14.26 3.89 0.95 0.00 56009.09 77.89 0.10 RC
b334 42-83526 266.34657 −28.42009 14.53 4.08 2.23 0.32 57245.15 58.45 1.00 RC
b334 44-14992 266.84899 −28.50806 15.40 84.55 2.56 0.29 56182.30 14.52 1.00  
b334 44-77077 266.92793 −28.63633 14.24 4.79 0.79 0.26 56837.94 104.58 0.25 RC
b334 110-47231 266.84039 −27.93049 15.85 4.14 4.86 0.15 56842.88 9.75 1.00 RC
b334 110-81842 266.91081 −27.95946 14.40 4.42 1.12 0.13 56004.80 110.82 0.18 RC
b334 112-80046 267.40998 −28.27695 14.39 4.65 2.84 0.27 55807.07 179.63 1.00 RC
b334 112-91317 267.39564 −28.33975 11.11 3.79 1.47 0.43 56583.86 33.65 1.00 O
b334 616-64986 267.71918 −27.77335 14.67 3.06 1.38 0.35 56516.10 13.82 1.00 RC
b334 14-35957 266.91087 −28.86083 14.89 4.25 1.05 0.00 56266.64 101.01 1.00 RC
b334 114-2993 266.95813 −27.59214 14.23 3.81 0.85 0.05 56897.19 24.42 1.00 RC,O
b334 114-34851 266.99985 −27.65723 12.90 5.39 3.97 0.18 56099.08 30.45 1.00  
b334 114-86000 267.15587 −27.65442 11.40 5.52 0.28 1.00 56559.30 35.94 0.86  
b334 116-26287 267.55340 −27.87324 13.52 3.85 0.96 0.45 56487.61 5.73 0.71 RC
b334 116-34279 267.50475 −27.97748 11.93 0.44 0.53 0.78 56003.36 19.68 1.00  
b334 116-80676 267.64681 −27.95567 14.34 3.73 5.29 0.15 56158.40 28.41 1.00 RC
b334 316-42169 267.36471 −27.86155 16.13 3.56 2.90 0.19 57170.53 16.68 0.73  
b334 316-51711 267.40790 −27.83484 14.14 4.98 0.70 0.68 56110.12 9.46 1.00 RC
b334 316-90309 267.49660 −27.85982 15.09 4.62 1.55 0.20 56190.74 12.02 1.00 RC
b334 23-24739 266.51787 −28.66503 13.42 5.56 0.67 0.21 56472.64 167.96 0.17  
b334 23-41942 266.51526 −28.73046 13.48 3.25 0.75 0.16 57188.50 98.78 0.19 RC
b334 25-71070 266.25801 −28.15896 12.57 3.31 0.65 0.71 55806.34 38.26 1.00  
b334 51-10132 266.06642 −28.21192 15.15 2.34 1.84 0.00 56499.51 17.47 0.15 RC
b334 51-56759 266.18724 −28.21185 15.69 2.98 6.96 0.06 56099.35 73.99 0.56  
b334 51-85618 266.18884 −28.31620 14.30 2.69 2.43 0.29 56139.42 29.41 0.97 RC
b334 55-55967 266.40621 −27.87824 14.37 2.81 2.11 0.10 57233.42 35.06 0.49 RC
b334 55-58674 266.37368 −27.93529 14.77 2.36 6.44 0.04 56198.53 16.91 0.69 RC
b334 64-18928 267.04305 −28.59909 14.32 5.66 0.97 0.28 57071.44 197.48 1.00 RC
b334 64-19410 267.01037 −28.64823 16.30 2.34 3.26 0.25 56174.12 85.67 1.00  
b334 68-52576 267.21228 −28.47343 16.89 2.48 10.44 0.00 57252.55 82.48 1.00  
b334 211-31387 266.93040 −28.09790 13.51 7.44 0.81 0.64 56196.01 16.59 1.00  
b334 213-31629 266.64126 −27.46364 14.53 1.51 0.48 0.55 56158.10 43.10 0.45  
b334 310-31814 266.59112 −27.87853 15.75 4.28 1.08 0.51 56001.37 37.48 1.00 RC
b334 412-43006 267.33083 −27.91374 15.44 4.14 1.34 0.09 56203.39 46.06 0.26 RC
b334 412-79563 267.35098 −28.02180 14.56 85.43 0.57 0.49 56836.85 5.91 1.00  
b334 414-10765 266.95702 −27.26925 13.66 3.39 0.43 0.62 56519.89 47.31 0.56 RC
b334 416-77898 267.63206 −27.62068 15.10 4.73 0.78 0.63 56120.46 16.66 1.00 RC
b334 511-36360 267.11900 −27.83605 11.39 5.13 0.18 0.02 56373.36 153.28 0.00  
b334 513-35349 266.79474 −27.25379 13.99 2.55 0.42 0.77 56837.28 7.78 1.00 RC
b334 515-58251 267.30222 −27.64802 14.27 85.74 0.79 0.41 57203.23 52.10 0.94  
b334 612-90493 267.57944 −28.07189 15.32 4.25 1.48 0.25 55818.58 69.29 0.47 RC
b334 614-30427 267.15078 −27.41083 15.54 5.20 3.48 0.17 57261.64 95.89 0.72 RC
b334 614-30702 267.12751 −27.44610 13.13 3.54 1.24 0.37 56832.55 6.38 0.68 RC
b334 614-71749 267.20863 −27.48013 14.66 3.33 1.14 0.51 57251.94 43.63 1.00 RC
b334 12-66675 266.43853 −28.57618 12.62 4.49 1.71 0.32 56121.19 17.49 0.80  

Note. The label RC correspond to the events located in the red clump and the O refers to the events that overlap.

Download table as:  ASCIITypeset images: 1 2 3

The magnitude range of the majority of bulge source stars is $11\lt {K}_{s}\lt 17.5$, and their near-IR colors ($2\lt J-{K}_{s}\,\lt 7$ mags) confirm that they are heavily reddened objects, consistent with most of them being located in the vicinity of the Galactic center. The spatial distribution of the final sample of microlensing events is shown in Figure 2, where it can be appreciated that we detect events as close as 10 arcmin from the Galactic center. The distribution is homogeneous in general, with certain small spatial gaps, which can be attributed in some cases to an increase in the differential reddening. There are a few over densities that do not appear to be statistically significant. However, the tile b333 containing the Galactic center has more events than the other two tiles on average. Even though tile b333 is the most reddened and crowded of all—and therefore it should be the most incomplete—there is a significant excess of microlensing sources in this central tile. This is evident if we count only the bright sources with ${K}_{s}\lt 16$, where there are N = 78 sources in tile b333 versus $N=45$ on the average of tiles b332 and b334. This is also seen if we count only the RC sources, where the counts are N = 37 for b333 versus $N=30$ for the average of the other two tiles, but this is not statistically significant. The most straightforward implication is that the microlensing optical depth keeps rising all the way to the Galactic center, but further observations are necessary to confirm this.

Figure 2.

Figure 2. Spatial distribution of the new microlensing events (red squares) around the Galactic center, overlaid on the extinction map of Gonzalez et al. (2012). The duplicate events in the overlapping areas have been accounted for.

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As an external check on the fidelity of our results, we performed the microlensing search separately in the three VVV tiles b332, b333, and b334. There is a small observed overlap region between these tiles, and although the area of the superposition is small ($\sim 4 \% $), there is a non-zero probability that the same microlensing event can be detected twice as separate events. To evaluate these cases, we analyzed the events that fulfilled the following conditions simultaneously: distance difference less than 2 arcsec, difference between the time of maximum amplification t0 less than 7 days, and difference between the baseline magnitudes less than 0.15 mag. We detected six repetitions in total, and in all these cases we obtained consistent results: the positions R.A. and decl. repeat to better than 1 arcsec, the Ks-band magnitudes repeat to better than 0.08 mag, the times of maxima repeat to better than 3 days, and the timescales repeat to better than 15% in all cases but two (these are two short timescale sources that have a timescale difference of 25%). For these objects, the fitting procedure using the standard microlensing model was recalculated using the data by joining both independent light curves in order to obtain more precise parameters.

Other checks were made, such as analyzing the timescale versus amplitude relation (Figure 3). This showed a homogeneous distribution of the amplitudes and no trends with the timescales, as expected. Also, we fitted known microlensing events from OGLE and MOA to confirm that our fitting routines yield the correct parameters.

Figure 3.

Figure 3. Left panel: timescale distribution of the complete sample microlensing events (top histogram), compared with that of the RC subsample (bottom histogram). The purple and cyan lines are the best Gaussian fits, with the mean positions labeled. Right panel: distribution of the impact parameter u0 and Einstein radius crossing time tE for the complete sample.

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3. Characterization of the Microlensing Events

The most important parameter that the standard microlensing model fit provides is the Einstein radius crossing time tE, which is related to the mass of the lens. The precise value of the lens mass can be constrained with the timescale obtained from the light curve; relative distances between the observer; lens and source; and transverse velocity.

RC giants are core-He burning giants that have known mean luminosities and can be used as distance indicators. Therefore, selecting RC stars with the correct magnitudes increases the probability that they are located at the bulge distance (e.g., Popowski et al. 2005). We therefore selected a subsample of events consistent with RC by making magnitude cuts in the color-magnitude diagrams that follow the direction of the reddening vector (Figure 4). For these RC sources, we can assume that they are located in the Galactic bulge. The large reddening is evident, especially in the central most region (tile b333). Moreover, as blending can be severe in the area we analyzed, the sources that belong to the RC are brighter and give us more reliable information, reducing the blending problem (Popowski et al. 2005; Sumi & Penny 2016). From the color-magnitude diagrams of Figure 4, it is clear that nearly half of the sources are located in the RC. As a consistency check, all three tiles investigated independently (b332, b333, and b334) show good agreement with each other.

Figure 4.

Figure 4. Near-IR ${K}_{s}\,\mathrm{vs}.\,J\mbox{--}{K}_{s}$ color-magnitude diagrams for the VVV tiles 332 (left), 333 (center), and 334 (right). The stars indicate the sources of the sample microlensing events. The stars in green are the microlensing events with RC sources. The magenta star in the 333 CMD corresponds to the event with J mag above the detection limit. The arrows show the reddening vector after (Nishiyama et al. 2009).

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The majority of the microlensing events in the sample region are expected to be bulge-bulge events and bulge-disk events (e.g., Gould 1995), but at these latitudes there are also potentially disk-bulge events with the source in the far disk. Indeed, the foreground contamination by disk–disk events appears to be small, as we observe only half a dozen sources with blue-enough colors ($J-{K}_{s}\leqslant 2.0$) consistent with a foreground main-sequence disk population (Figure 4).

With the information provided by the fitting procedure and the color-magnitude diagram, it is impossible to obtain all of the parameters needed to constrain the individual lens masses, except for the cases in which the parallax effects are evident. As mentioned earlier, special events like parallax events will be analyzed in the future. However, for a large enough sample like ours, the distribution of timescales gives a global idea of mass distributions and tentative mass ranges that were detected (Figure 3).

The shape of the timescale distribution is similar for the total sample and the RC sample. The peak of the timescale distribution, i.e., the most common value for the Einstein radius crossing time of the complete sample is 30.91 ± 1.08 days, and for the RC sources is 29.93 ± 1.06 days. The RC sample mean is slightly shorter, but consistent within the errors. These mean values correspond to intermediate mass lenses (typical disk/bulge main-sequence stars) under reasonable model assumptions like those of the recent predictions of Wegg et al. (2017). The shape of the timescale distribution is also consistent with some previous studies in the bulge region (Wyrzykowski et al. 2015). Both distributions follow a symmetric curve in $\mathrm{log}({t}_{{\rm{E}}})$, which is different, for example, from the distribution obtained by Barry et al. (2011). This is probably due to the lack of short timescale VVV events.

Both distributions are similar (Figure 3), ranging from small values suggesting stellar mass objects to long duration events, which are generally associated with massive objects. Short timescale events with ${t}_{{\rm{E}}}\leqslant 10$ days are lacking, and we argue that this is merely an effect of our low sampling efficiency for the short events in comparison with other surveys like OGLE and MOA that have more frequent sampling and much longer timescale coverage. For example, the frequent sampling of the observations by Shvartzvald et al. (2017) yield shorter timescale events in the mean (ranging from tE = 7 days to 30 days). Their mean timescale, tE = 17.2 days, is significantly different than ours, and may suggest the presence of more massive lenses closer to the Galactic center or disk–disk events because of the low latitude of the studied area, but extreme caution is warranted with this comparison because of the different sample sizes and observing strategies.

On the other extreme of the timescale distribution, we observe a non-negligible number of long timescale events (${t}_{{\rm{E}}}\geqslant 100$ days) that are consistent with the presence of massive objects (in the black hole realm) or disk–disk events. However, as the value of the timescale is degenerate, it is necessary to do a more detailed study of these events, e.g., to include parallax in the fitting procedure and to model the inner Galaxy using different initial mass functions. These analyses are proposed for the future and are beyond the scope of this letter.

Finally, the observed timescale and magnitude distribution of the detected events can be helpful to optimize the observational microlensing campaign of the WFIRST (Spergel et al. 2015), and also to predict event rates and completeness. The observed magnitude ranges for the J and Ks-bands ($12\lt J\lt 21.5$, and $11\lt {K}_{s}\lt 17.5$, respectively), and the color-magnitude diagrams show that the searches are more efficient at longer wavelengths. In fact, most of the photometric incompleteness in our sample is given by the lack of deeper J-band observations.

4. Conclusions

For the first time, we have detected a large number of microlensing events around the Galactic center using the VVV near-IR photometry. We present the color-magnitude diagrams of the microlensing sources for the VVV tiles b332, b333, and b334, which show good qualitative agreement among themselves. There is an apparent excess of microlensing sources in the central tile b333 in comparison with the average of the other two tiles, even though tile b333 is the most reddened and crowded of all.

We also presented the timescale distribution of the observed events that ranges from 5 to 200 days. We do not find significant numbers of events with ${t}_{{\rm{E}}}\lt 10$ days, due to our low-detection efficiency for short timescale events. There is, however, a non-negligible number of long timescale events (${t}_{{\rm{E}}}\geqslant 100$ days), which would be consistent with a population of massive black holes or disk–disk events.

This work demonstrates the usefulness of the VVV Survey to detect microlensing events in highly reddened and crowded areas like the Galactic center region. The present microlensing search covers the three most central VVV tiles, and can, in principle, be extended to adjacent areas that have not yet been studied due to heavy extinction. Such extended search would produce a complete timescale distribution map of the inner Milky Way bulge and show the dependencies with Galactic latitude and longitude, to complement previous bulge microlensing studies (e.g., Popowski et al. 2005; Sumi et al. 2013; Wyrzykowski et al. 2015).

Our work also indicates that the microlensing optical depth keeps rising all the way to the Galactic center, but further observations are necessary to confirm this, and a microlensing search in this region with the WFIRST would be very profitable (Spergel et al. 2015); our results may be relevant to optimize the observational campaigns for that and other future surveys.

We gratefully acknowledge data from the ESO Public Survey program ID 179.B-2002 taken with the VISTA telescope, and products from the Cambridge Astronomical Survey Unit (CASU). Support is provided by the BASAL Center for Astrophysics and Associated Technologies (CATA) through grant PFB-06, and the Ministry for the Economy, Development and Tourism, Programa Iniciativa Científica Milenio grant IC120009, awarded to the Millennium Institute of Astrophysics (MAS). D.M. acknowledges support from FONDECYT regular grant No. 1170121.

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10.3847/2041-8213/aa9b29