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Поисковые слова: virgo cluster
METALLICITY EFFECT ON LMXB FORMATION IN GLOBULAR CLUSTERS

D.-W. KIM1, G. FABBIANO1, N. IVANOVA2, T. FRAGOS1, A. JORDаN3,4, G. R. SIVAKOFF2, AND R. VOSS5 1. Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 2. Department of Physics, University of Alberta, Edmonton, AB, Canada 3. Departamento de Astronomia y Astrofisica, Pontificia Universidad Catolica de Chile, Santiago, Chile 4. The Milky Way Millennium Nucleus, Av. VicuЯa Mackenna 4860, 7820436 Macul, Santiago, Chile 5. Depeartment of Astrophysics/IMAPP, Radboud University Nijmegen, The Netherlands (Nov. 14, 2012) ABSTRACT We present comprehensive observational results of the metallicity effect on the fraction of globular clusters (GC) that contain low-mass X-ray binaries (LMXB), by utilizing all available data obtained with Chandra for LMXBs and HST ACS for GCs. Our primary sample consists of old elliptical galaxies selected from the ACS Virgo and Fornax surveys. To improve statistics at both the lowest and highest X-ray luminosity, we also use previously reported results from other galaxies. It is well known that the fraction of GCs hosting LMXBs is considerably higher in red, metal-rich, than in blue, metal-poor GCs. In this paper, we test whether this metallicity effect is X-ray luminosity-dependent, and find that the effect holds uniformly in a wide luminosity range. This result is statistically significant (at 3) in LMXBs with luminosities in the range LX = 2 x 1037 5 x 1038 erg s-1, where the ratio of GC-LMXB fractions in metal-rich to metal-poor GCs is R = 3.4 ± 0.5. A similar ratio is also found at lower (down to 1036 erg s-1) and higher luminosities (up to the ULX regime), but with less significance (~2 confidence). Because different types of LMXBs dominate in different luminosities, our finding requires a new explanation for the metallicity effect in dynamically formed LMXBs. We confirm that the metallicity effect is not affected by other factors such as stellar age, GC mass, stellar encounter rate, and galacto-centric distance.


1. INTRODUCTION It is well known that globular clusters (GC) are a major birthplace of low-mass X-ray binaries (LMXB) (Grindlay 1984; Verbunt & van den Heuvel 1995; Bildsten & Deloye 2004), where the efficiency of LMXB formation is at least by a factor of ~100 higher than in the general stellar field (`native' LMXBs). While native LMXBs are expected to be rare in GCs (e.g., Ivanova et al. 2008), LMXBs in GCs can be dynamically formed via tidal capture, binary exchanges and physical collisions (e.g., see Verbunt and Lewin 2006 and reference therein) in the dense stellar environment. It was even suggested that all LMXBs in galaxies were formed in GCs (e.g., Grindlay 1984), but there is also evidence for native field binary formation (e.g., Maccarone, et al. 2003; Irwin 2005; Juett et al. 2005; Kim, E., et al. 2006). In particular, the X-ray luminosity functions of LMXBs in the field and in GCs differ at low luminosities (Kim et al. 2009; Voss et al. 2009; Zhang et al. 2011), pointing to different origins. Chandra observations of early type galaxies revealed that a significant fraction (3070%) of LMXBs are found in GCs and further showed that LMXBs are preferentially found in red rather than blue GCs (e.g., see Fabbiano 2006 and reference therein). Because in old stellar systems, such as GCs, the color is primarily determined by metallicity (e.g., Brodie and Strader 2006), this trend directly indicates that metal-rich GCs generally host LMXBs more frequently than metal-poor ones, as originally observed for GC-LMXBs in the Galaxy and M31 (e.g., Bellazzini et al. 1995). Observations of several galaxies have shown that the fraction of GCs hosting LMXBs (hereafter GCLMXB fraction) is larger by a factor of ~3 in metal-rich than in metal-poor GCs (e.g., Kundu et al. 2002; Sarazin et al. 2003; Kim E. et al. 2006; Sivakoff et al., 2007; Paolillo et al. 2011). These results have suggested that the GC metallicity must be closely related to key parameters of binary formation and evolution in GCs, opening a debate on its cause. Suggestions include different stellar sizes and/or IMFs (Bellazzini et al 1995), irradiation-induced stellar winds (Maccarone et al. 2004), and metallicity-dependent magnetic breaking (Ivanova 2006). However, none of these possibilities has been observationally supported. For example, the excess obscuration in metal-poor GCs predicted by the stellar wind model was not observed (e.g., Kim, E. et al. 2006). While magnetic breaking could explain the metallicity effect for main-sequence donors, this type of LMXBs is considerably fainter (LX < 2 x 1037 erg s-1) than those observed in typical elliptical galaxies (Ivanova 2006; Revnivtsev et al. 2011). A key observational test is determining whether the metallicity effect is luminositydependent, because different types of LMXBs (with different compact sources and with different donors) dominate in different luminosity ranges (e.g., Fragos et al. 2008). Therefore the luminosity range where the metallicity effect does or does not hold provides an important clue to identify dominant types of LMXBs and to understand the major LMXB formation mechanisms. In this paper, we report the measurement of GCLMXB fractions in red and blue GCs at different X-ray luminosities, with a large sample of GC-LMXBs. In the accompanying paper, Ivanova et al. (2012) present theoretical interpretations of our finding, supported by numerical simulations.



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2. SAMPLE We extracted our primary sample of early type galaxies from the ACS Virgo cluster survey (ACSVCS; Cote et al. 2004) and the ACS Fornax cluster survey (ACSFCS; Jordan et al. 2007). Both data sets provide lists of GCs, which were homogeneously analyzed for their photometry in two optical bands with F475W (g) and F850LP (z) and half-light radii in each band (Jordan et al. 2009, Virgo; Jordan 2012 in prep., Fornax). Because the ACS field of view is 202" x 202", the entire galaxy (inside the D25 ellipse) is included only for a few small galaxies. For most galaxies, the outer regions are excluded (see Table 1). We discuss the effect of sampling different spatial region on our results in section 6. For NGC 4649, we use the GC data from Strader et al. (2012) who have analyzed five additional ACS pointings to cover the entire galaxy. Their photometry and sizes are consistent with those of Jordan et al. (2009) for the GCs in common.
Table 1. Sample Early Type Galaxies --------------------------------------------------------------------------Galaxy type d R25 MB log LK Reference (Mpc) (') (mag) (LK sun) --------------------------------------------------------------------------Main Sample N4365 E3 23.1 3.4 x 2.5 -21.33 11.40 ACSVCS N4374 E1 18.5 3.2 x 2.8 -21.33 11.38 ACSVCS N4472 E2 16.7 5.1 x 4.1 -21.78 11.62 ACSVCS N4621 E4 14.9 2.6 x 1.8 -20.34 10.98 ACSVCS N4649 E2 16.5 3.7 x 3.0 -21.39 11.47 Strader12 N1399 E0 20.9 3.4 x 3.2 -21.16 11.45 ACSFCS N1404 E2 20.2 1.6 x 1.4 -20.55 11.21 ACSFCS N1427 E4 19.6 1.8 x 1.2 -19.65 10.66 ACSFCS Additional sample for faint LMXBs N3379 E1 10.6 2.7 N4278 E1 16.1 2.0 N4649 E6 11.8 3.6 Cen A S0 pec 4.2 12.9 M31 SAb 0.76 99.3 x 2.4 x 1.9 x 2.3 x10.0 x30.8 19.94 20.06 20.28 20.82 21.04 10.87 10.87 10.93 11.00 10.70 11.45 Kim09 Kim09 Kim09 Voss09 Voss09 ACSVCS

Additional sample for brightest LMXBs M87a E0 16.7 4.1 x 3.3

-21.62

Additional sample for ULXs N1316b S0 pec 21.0 6.0 x 4.2 -22.21 11.74 ACSFCS N1380b S0/a 21.2 2.3 x 1.1 -20.71 11.24 ACSFCS --------------------------------------------------------------------------reference ACSVCS = ACS Virgo Cluster Survey; ACSFCS = ACS Fornax Cluster Surgey; Strader12 = Strader et al. (2012) for N4649; Kim09 = Kim et al. (2009) for 3 elliptical galaxies with deep Chandra observations; Voss09 = Voss et al. (2009) for Cen A and the M31 bulge. a. Because of the complex gas structure in M87, we only use bright LMXBs with LX > 5 x 1038 erg s-1 (in 0.3-8keV) or net count > 300 after visual inspection of individual sources. b. These galaxies are used only for ULXs (Lx > 2 x 1039 in 0.3-8keV) in Table 6.



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We obtained the X-ray data from the public Chandra Archive (http://asc.harvard. edu/cda). Starting with the ten brightest, GC-richest elliptical galaxies in each cluster, we selected our sample galaxies with more than ten GC-LMXBs: NGC 4365, 4374, 4472, 4621, and 4649 from the Virgo cluster and NGC 1399, 1404 and 1427 from the Fornax cluster. We also used our proprietary Chandra data (PI: Fabbiano) taken in 2011 of NGC 4649 (see Luo et al 2012). We excluded NGC 1316 (S0 pec) and 1380 (S0/a), which could add 9 and 13 GC-LMXBs, respectively, because they may contain a younger stellar population. In our homogeneously old sample, the optical color can be assumed to be a reasonable indicator of metallicity (e.g., Peng et al. 2006; Mieske et al. 2010). In Table 1, we list the basic galaxy information, including morphological types from RC3, distances from Blakeslee et al. (2009), semi-major and semi-minor axes of the D25 ellipse, B magnitudes from RC3, and K-band luminosities from 2MASS. Additionally, we used the published results for GC-LMXBs in NGC 3379, 4278 and 4697 from Kim et al. (2009), and in Cen A (NGC 5128) and the bulge of M31 from Voss et al. (2009) to supplement the number of very faint LMXBs (section 5.2). We used M87 (NGC 4486, Virgo A, the dominant galaxy of the Virgo cluster) to increase the number of very luminous LMXBs (LX > 5 x 1038 erg s-1; section 5.3). Although M87 hosts a large number of GCs, the X-ray point sources can be confused with false detections at the low luminosities, because of the complex spatial distribution of the hot gas. However, very luminous LMXBs (with high S/N) are exempt from this problem.

Table 2. Chandra Observations ------------------------------------------------------------------------------Galaxy ObsId Observation Dates Exposure LXa (ksec) (1037erg/s) ------------------------------------------------------------------------------N4365 2015, 5921-4, 7224 Jun 2001 - Nov 2005 191 2.6 N4374 803, 5908, 6131 May 2000 - Nov 2005 110 5.0 N4472 321, 11274, 12888-9 Jun 2000 - Feb 2011 359 3.0 N4621 2068 Aug 2001 23 6.5 N4649 785, 8182, 8507, 12975-6, 14328 Apr 2000 - Aug 2011 280 2.6 N1399 N1404 N1427 319, 9530 2942, 9798, 9799 4742 Jan 2000 - Jan 2008 Feb 2003 - Dec 2007 May 2005 114 65 50 6.8 13.1 7.2

N1316b 2022 Apr 2001 24 1.4 N1380b 9526 Mar 2008 38 6.5 -----------------------------------------------------------------------------a. limiting X-ray luminosity (in 0.3-8keV) at 50% detection probability b. used only for ULXs (see Table 6)

3. CHANDRA X-RAY DATA ANALYSIS For all the galaxies, we only used data obtained with the S3 chip of Chandra Advanced CCD Imaging Spectrometer (ACIS; Garmire 1997), in order to take advantage



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of the higher response of the back-illuminated CCD. We excluded short (< 10 ksec) ACIS-I exposures of NGC 1399 and NGC 4472, to avoid mixing data from different detectors. In all cases, the ACIS temperature was -120 C at which the ACIS calibration is most reliable. The basic information of the Chandra observations is summarized in Table 2, which includes observation ID, observation dates and net exposure times. Many galaxies were observed multiple times between 2000 and 2011, with individual exposures ranging from 20 to 100 ks. Also listed in Table 2 is the limiting luminosity for X-ray point source detection at 50% probability. Since we are measuring the ratio of GCLMXB fractions between red and blue GCs, there is no need to correct for the incompleteness of LMXBs detection (see section 6). The ACIS data were uniformly reduced with a custom-made pipeline (XPIPE), specifically developed for the Chandra Multi-wavelength Project (ChaMP; Kim et al. 2004). Starting with the CXC pipeline level 2 products, we apply acis_process_events available in CIAO v4 with up-to-date calibration data, to correct for the time and position-dependent gain and QE variation. After removing background flares, we reproject individual observations to a common tangent point and combine them using merge_all from the CIAO contributed package. We use wavdetect to detect X-ray point sources, setting the exposure threshold to be 10% using an exposure map, to eliminate the false detections often found at the chip edge; we also set the significance threshold to be 10-6, corresponding approximately to one false source per chip. The performance and limitations of wavdetect are well understood and calibrated by extensive simulations (e.g., Kim & Fabbiano 2003; Kim et al. 2004; Kim, M. et al. 2007). To measure the broad-band 0.3­8 keV X-ray luminosity, we calculate the energy conversion factor (ECF = ratio of flux to count rate) for each source in each observation, by assuming a powerlaw spectral model with a photon index of = 1.7 (e.g., Irwin et al. 2003; Boroson et al. 2011) and Galactic NH (Dickey & Lockman 1990). For sources detected in the merged data, we apply an exposure-weighted mean ECF. For X-ray luminosities of LMXBs, we use the broad energy band in 0.3­8 keV throughout this paper. 4. MATCHING LMXBs and GCs To obtain our sample of LMXBs in GCs, we identified GC-LMXBs matches by crosscorrelating the X-ray and optical source lists. We first determined the systematic positional offset between the samples of X-ray and optical sources. After correcting for the systematic shift (up to ~1"), we applied a strict matching criterion with a radius of 0.5". This procedure is simpler than that used in Kim et al. (2009), where field LMXBs and background sources were also identified. Here, we are only concerned with GCLMXBs, hence we select only clean GC-LMXB matches. Although more GC-LMXBs can be identified with a relaxed search radius, the probability of a spurious identification increases significantly. The chance probability of a false match within 0.5" is 0.5-2% ( 1 false match per galaxy). The number of duplicated matches also significantly increases with a larger search radius. With our search radius (0.5"), we have 7 duplicated matches, where a single X-ray source is matched with two GCs. We use these sources in our sample only if both matching GCs belong to the same (blue or red) color subsample.



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Based on the bimodal GC color distribution, the division in red and blue GCs occurs at g-z = 1.1-1.2 (see Peng et al, 2006 for Virgo galaxies and Mieske et al. 2010 for Fornax galaxies). Because of the host galaxy dependency, the average color of GCs (both blue and red GCs) increases (becomes redder) with increasing MB (or color) of the host galaxy. Our sample consists mostly of giant early type galaxies with MB < -20.5 mag or LK > 1011 LKsun (excluding the smallest galaxy N1427; see Table 1) and the division between blue and red GCs occurs in a narrow range of g-z. Therefore, we select the division at g-z=1.15 for all galaxies in our sample of ACSVCS and ACSFCS. We also tried slightly different division colors (g-z fixed at 1.1 or 1.2, or variable within 1.1 and 1.2 depending on MB), but our results (the ratio of GC-LMXB fractions in red and blue GCs) do not vary in any significant manner.
Table 3 Number of GCs and GC-LMXBs --------------------------------------GC GC-LMXB Galaxy ALL R-GC B-GC ALL R-GC B-GC --------------------------------------N4365 907 505 402 68 52 16 N4374 506 221 285 17 10 7 N4472 765 478 287 70 65 5 N4621 308 171 137 16 14 2 N4649 1603 890 713 141 119 22 N1399 N1404 N1427 sum 1074 380 361 709 217 137 365 163 224 63 11 22 408 51 11 9 331 12 0 13 77

5904 3328 2576

GC-LMXB fractiona 0.069 0.099 0.030 error 0.003 0.006 0.003 --------------------------------------a. fraction of GCs hosting LMXBs

In Table 3, we list the number of GCs and GC-LMXBs for each of the eight Virgo and Fornax elliptical galaxies. Out of 5904 GCs, 408 (or 6.9%) host LMXBs. This GCLMXB fraction is a lower limit, because some of the Chandra observations used are quite shallow (see the limiting LX in Table 2 and section 6 for more discussions). The total number of red GCs is slightly higher than that of the blue GCs in our samples. We note that the ratio may change depending on the sampling regions and the color boundary between red and blue GCs. However, the ratio of GC-LMXB fractions is not seriously affected by these variations; see section 6 for more discussions. 5. COMPARISON BETWEEN LMXB IN RED AND BLUE GCs To determine GC-LMXB fractions as a function of LX, we count the numbers of LMXBs in red and blue GCs in seven luminosity bins with the minimum LX =1036 erg s-1, and calculate the ratio of GC-LMXB fractions in red and blue GCs in each bin:



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R=

N ( RGC - LMXB) / N (RGC ) N ( BGC - LMXB) / N (BGC )

In Table 4, we summarize the results. We plot the color-magnitude diagram in Figure 1, where red and blue GCs with LMXBs are marked by red and blue colors, respectively. We also plot the histogram of GCs as a function of g-z in Figure 2, which clearly indicates the higher GC-LMXB fraction in red GCs. 5.1. INTERMEDIATE LUMINOSITY LMXBs The ratio, R, is best determined in the intermediate LX ranging from 2 x 1037 to 5 x 1038 erg s-1 (in the middle four LX bins). R ranges from 2.7 to 4.5. To quantitatively measure the significance of R being larger than unity, we calculate the error associated with R using the Bayesian estimators, BEHR (Park et al. 2006) which rigorously treats the Poisson statistics taking into account the non-Gaussian nature of the error. We list the lower and upper bounds at the 68% confidence level and the confidence level at which R > 1 in Table 4. In the middle four LX bins (LX = 2 x 1037 - 5 x 1038 erg s-1), the significance of R being larger than unity is 3 (99.7%) or higher. If we count all GCLMXBs in this LX range, the ratio and its allowed range is well determined to be: = 3.4 ± 0.5 for GC-LMXBs with LX = 2 x 1037 - 5 x 1038 erg s-1. R in these middle four LX bins stays consistent with the above within a 1 deviation (see Figure 3), clearly indicating that the metallicity effect on the GC-LMXB fraction is independent of LX of LMXBs in this LX range within our uncertainties.
Table 4 GC-LMXB fractions in red and blue GCs (from Virgo and Fornax galaxies) ------------------------------------------------------------------------N(GC-LMXB) in a given LX bin (in 1037 erg/s)a N(GC) 0.1-1 1-2 2-5 5-10 10-20 20-50 502-50 all ------------------------------------------------------------------------red 3328 4 8 60 86 80 75 18 301 331 blue 2576 0 2 17 18 21 13 6 69 77 R 3.1 2.7 3.7 2.9 4.5 2.3 3.4 3.3 Lower (68%) 0 0.6 1.9 2.7 2.2 3.1 1.1 2.9 2.9 Upper (68%) 23.9 5.3 3.4 4.6 3.6 5.8 3.3 3.8 3.7 Conf (%)b 99.91 99.99+ 99.99+ 99.99+ 72 ------------------------------------------------------------------------a. LX in 0.3-8keV b. The confidence level at which R > 1.

5.2. LOW LUMINOSITY LMXBs In the first two bins (LX < 2 x1037 erg s-1), the face value of the ratio is consistent with the above value, but R is poorly constrained due to the small number of faint sources. To 7


improve the statistics at the low LX end, we used published results of the very deep observations of NGC 3379, 4278 and 4649 (see the luminosity functions in Kim et al. 2009), which have resulted in the faintest detections of LMXBs in this type of galaxies (down to a few x 1036 erg s-1). We also use the results of Cen A and the M31 bulge from Voss et al. (2009). Although Cen A and M31 are not normal elliptical galaxies, the stellar populations of their bulges are similarly old; these observations provide even fainter LMXBs (down to 1036 erg s-1) because of their proximity. Our results with data from these additional five galaxies are summarized in Table 5. While the results are almost identical to those in Table 4 in high LX bins, the statistics are significantly improved in the first two bins. The ratios R are 2.1 and 2.7 in the first two bins, and the 1 allowed range is 1.2 ­ 3.7. The significance of R being larger than unity is now 85% and 94% in the first 2 bins. If we combine the two bins, we get R = 2.5 and the 1 range is 1.6 ­ 2.9. The significance of R being larger than unity is 99%, which we consider as marginally significant.
Table 5 same as table 4, but with additional galaxiesa ------------------------------------------------------------------N(GC-LMXB) in a given LX bin (in 1037 erg/s)b N(GC) 0.1-1 1-2 2-5 5-10 10-20 20-50 >50c 2-50 ------------------------------------------------------------------red 4127 26 27 84 110 97 82 30 373 blue 3294 10 8 27 24 28 18 9 97

--all --446 121

R 2.1 2.7 2.5 3.7 2.8 3.6 2.5 3.1 2.9 Lower (68%) 1.2 1.5 1.9 2.8 2.2 2.7 1.4 2.7 2.6 Upper (68%) 2.7 3.7 3.0 4.4 3.4 4.6 3.4 3.4 3.2 Conf (%)d 85 94 99.99 99.99+ 99.99+ 99.99+ 95 ------------------------------------------------------------------------a. b. c. d. Data for N3379, N4278, N4649, M31, and Cen A are from the literature LX in 0.3-8keV The last bin (LX > 5 x 1038) also includes GC-LMXBs from M87. The confidence level at which R > 1.

5.3. HIGH LUMINOSITY LMXBs In the high LX bin (LX > 5 x1038 erg s-1) in Table 4, the ratio R is 2.5, but with a large error. The significance of R being larger than unity is only ~1 (72%). Using data from NGC 3379, 4278 and 4649 (Kim et al. 2009) and from Cen A and the bulge of M31 (Voss et al. 2009), does not help because there are only two luminous LMXBs in these galaxies. To further improve statistics, we add GC-LMXBs in M87 (NGC 4486) with extra cautions. At lower LX, we avoided LMXBs in M87 because of spatial incompleteness and possible false detections resulting from the complex nature of its strong hot gas X-ray emission (e.g., Million et al. 2010). However, for most luminous LMXBs (LX > 5 x 1038 erg s-1, corresponding to ~300 net counts), false identifications are unlikely. Analyzing two long ACIS-S Chandra observations of M87 (obsid=2707 and 3717, with total exposure of 130 ksec) with the techniques described in section 4, we identified 17 candidate GC-LMXBs with LX > 5 x 1038 erg s-1. After visual inspection of 8


the images, we eliminated three LMXBs in red GCs that may be small-scale gas clumps rather than point sources and an LMXB that matches both a blue and a red GC within 0.5". We obtained additional 10 (3) LMXBs in 1078 (667) red (blue) GCs. Adding them to those in Table 4, we have 30 (9) LMXBs in 5205 (3961) red (blue) GCs. The ratio, R is 2.5 and the 1 allowed range is 1.4 ­ 3.4. The significance of R being larger than unity is at 95% (or 2). This trend may continue to the highest luminosity range, i.e., to the Ultra Luminous X-ray sources (ULX) whose X-ray luminosity, LX > 2 x 1039 erg s-1, is significantly higher than the Eddington luminosity of stellar mass black holes (e.g., Fabbiano 2006). In our sample, we have 7 ULXs among GC-LMXBs with LX > 2 x 1039 erg s-1; 5 (2) of them are found in red (blue) GCs (see Table 6). While the ratio between red and blue GCULXs (ULX residing in GC) is R ~ 3, the sample is too small to draw any significant conclusion. For completeness, we add to Table 6 a few possible ULXs in GCs that are previously known to have the peak luminosity at least LX = 2 x 1039 erg s-1 (even if the average LX is lower): a red GC-ULX in NGC 1316 (Kim & Fabbiano 2003), a blue GCULX in NGC 3379 (Brasssington et al. 2012) and two (in red and blue GC each) in NGC 4472 (Maccarone et al, 2007, 2011). The two sources in N4472 were not included in section 4, because they are outside the ACS fov. We also found one ULX in a red GC in NGC 1380 that we excluded in the above analysis (see section 2). Combining all known GC-ULXs, we have 8 and 4 ULXs residing in red and blue GCs, respectively.
Table 6 ULX in GCs ----------------------------------------------------------name z g- z d LX ref mag mag kpc 1038 ----------------------------------------------------------ULX in red GC N1399 21.28 1.37 6.67 24.3 N1399 20.49 1.60 4.15 30.4 N4486 22.55 1.61 4.72 21.7 N4486 20.29 1.34 0.51 23.4a N4649 20.26 1.55 8.97 23.8 ULX in blue GC N1427 N4486 21.30 21.68 1.03 1.08 5.35 0.56 21.2 25.3

a

Additional GC-ULXs from the literature N1316 c 22.13 1.60 1.29 34 a c N1380 22.30 1.37 5.55 35.6 N3379 21.9 0.8 10.14 28b N4472 blue 32.56 45b N4472 red 13.08 20 b ---------------------------------------------------- a very close to the galaxy center and the LX could diffuse emission. b peak luminosity c some GCs may not be old reference 1. Kim & Fabbiano (2003); 2. Brassington et et al. (2007); 4. Maccarone et al. (2011)

1 this work 2 3 4 -----be affected by the strong

al, 2012); 3. Maccarone



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If we count all GC-LMXBs (LX > 1036 erg s-1), the ratio and its allowed range is (the last column in Table 5): = 2.9 ± 0.3 for GC-LMXBs with LX > 1036 erg s-1. In summary (see Figure 3), a metallictiy dependent effect (i.e., R > 1) is confirmed in four independent LX bins at the intermediate luminosity LX = 2 x 1037 ­ 5 x 1038 erg s-1. In this LX range, R stays constant and consistent within 1 errors with the weighted average = 3.4 ± 0.5 (also with = 2.9 ± 0.3 that was determined from the entire LX range), indicating that the metallicity effect on the GC-LMXB fraction is independent of LX of LMXBs in this LX range. At the fainter LX (< 2 x 1037) and brighter LX (> 5 x 1038), the significance of the metallicity dependence is marginal (at 2); while the ratio is still consistent with R~3, the uncertainty is larger. To estimate the possible variation of R as a function of LX, we fit the data in a functional form of R = a log(LX) + b. The best fit value and error of the slope is a = -0.1 ± 0.7 for LX > 1037 erg s-1 in the main sample (table 4 or blue filled circles in Fig 3) and a = 0.3 ± 0.4 for LX > 1036 erg s-1 in the extended sample (table 5 or black open circles in Fig 3). These results reinforce our claim that the current data show no clear dependence of R on LX; however, we note that some dependence is still allowed given the error on slope. Our results suggest that the XLFs of LMXBs in red and blue GCs have a similar shape, but that their normalizations differ by a factor of ~3. The available data at the lowest LX (1036 - 1037 erg s-1) and highest LX (> 2 x1039 erg s-1) are consistent with this conclusion; however, more LMXBs are needed to statistically confirm this.

6. DISCUSSION Because the optical color of stellar systems is primarily determined by two parameters, age and metallicity, it is important to select a homogeneous age sample so that separating GCs by color yields different metallicity samples. As described in section 2, our main sample consists of pure, old elliptical galaxies in the Virgo and Fornax clusters. The average stellar age of our sample galaxies ranges from 8 Gyr to 14 Gyr (Trager et al. 2000, Terlevich & Forbes 2002, Thomas et al. 2005, Sanchez-Blaquez et al. 2006, Idiart et al. 2007, Serra & Oosterloo 2010). We note that the age of an old elliptical galaxy is more reliable and less subject to systematic error (stemming from the common assumption of single stellar population) than that of a disturbed rejuvenated galaxy where most stars are old and only a small fraction of younger stellar population may be mixed in (e.g., Serra & Oosterloo 2010). Since our sample is not expected to be affected by age differences as a function of metallicity, we can apply the color metallicity, (g-z)-[Fe/H], relation presented in Peng et al. (2006) to translate the color difference to metallicity



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difference1: the color difference, (g-z) = 0.4-0.5 between the two peaks of blue and red GCs (Figure 2) corresponds to a mean metallicity difference of a factor of 10-30. A few studies on the spectroscopic ages of a limited number of GCs also indicate that the majority of GCs in our sample galaxies have old ages of 10 Gyr (Forbes et al. 2001 for NGC 1399, Beasley et al. 2000 for N4472, Pierce et al. 2006 for NGC 4649). However, there has been some debate on the possible presence of intermediate age GCs in NGC 4365 (Brodie et al. 2005; Kundu et al. 2005), while the average stellar age is old (12.6 Gyr, Sanchez-Blaquez 2006; 11.3 Gyr, Idiart et al. 2007). The recent near-IR study by Chies-Santos et al. (2011) suggests that there is no significant population of young GCs in NGC 4365. Nonetheless, after excluding NGC 4365, we confirm that our results remain valid. Another possible case of contamination that might arise from a younger stellar population is Cen A. It could affect R in the lowest LX bin. However, the spectroscopic study by Beasley et al. (2008) showed that the majority of their sample (~90%) is old and only a small fraction may have intermediate ages (4-6 Gyr). We also note that the ratio of GC-LMXB fractions in Cen A is similar to that of the bulge of M31 in the lowest LX bin. In addition to the metallicity effect on the GC-LMXB fraction, it is well known that massive GCs are more likely to host LMXBs (e.g., Sarazin et al. 2003; Kim, E. et al. 2006). This is driven by their large number of stars and dense cores, which result in higher dynamical encounter rates (Jordan et al. 2007). In our sample, this effect is shown in Figure 1. In particular, about half of the GCs with MZ < -11.5 mag host LMXBs. We also note that all of these most massive GCs with LMXBs are red. We therefore need to examine if the metallicity effect may be driven by the mass of GCs. In Figure 4, we show the histogram of the absolute magnitude (MZ) of red and blue GCs (solid lines for all GCs). If we assume a Gaussian distribution, the mean = -8.82 mag and -8.66 mag for red and blue GCs, respectively, and = 1.1 for both samples. The median values are also similar (-8.73 and -8.57 mag). The red GCs may be systematically more massive than the blue GCs, but the difference is only 0.16 mag in mean (also in median) values of the two samples, which corresponds to ~15% difference in luminosity or mass. This is clearly too small to affect our results in the different GC-LMXB fraction (by a factor of ~3) in red and blue GCs. Another important parameter is the stellar encounter rate, , which takes both mass and compactness into account; the higher the encounter rate, the higher the probability to dynamically form LMXBs in GCs (e.g., Sivakoff et al, 2007; Jordan et al. 2007; Peacock et al. 2010). We tested whether red GCs have systematically higher . In that case, could be the driving force. Following Sivakoff et al. (2007), the stellar encounter rate can be written ~M
GC 1.5

r

h

-2.5

,

1 We note that the precise form of the relation between [Fe/H] and (g-z) color is not known precisely. Althoug