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THE ARAUCARIA PROJECT: THE DISTANCE TO THE CARINA DWARF GALAXY FROM INFRARED PHOTOMETRY OF RR LYRAE STARS*

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Published 2015 August 25 © 2015. The American Astronomical Society. All rights reserved.
, , Citation Paulina Karczmarek et al 2015 AJ 150 90 DOI 10.1088/0004-6256/150/3/90

1538-3881/150/3/90

ABSTRACT

We obtained single-phase near-infrared (NIR) magnitudes in the J- and K-band for a sample of 33 RR Lyrae (RRL) stars in the Carina dSph galaxy. Applying different theoretical and empirical calibrations of the NIR period–luminosity–metallicity relation for RRL stars, we find consistent results and obtain a true, reddening-corrected distance modulus of 20.118 ± 0.017 (statistical) ± 0.11 (systematic) mag. This value is in excellent agreement with the results obtained in the context of the Araucaria Project from NIR photometry of red clump stars (20.165 ± 0.015) and the tip of red giant branch (20.09 ± 0.03 ± 0.12 mag in the J band, 20.14 ± 0.04 ± 0.14 mag in the K band), as well as with most independent distance determinations to this galaxy. The NIR RRL method proved to be a reliable tool for accurate distance determination at the 5% level or better, particularly for galaxies and globular clusters that lack young standard candles, like Cepheids.

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1. INTRODUCTION

The main goal of the Araucaria Project is to improve the calibration of the cosmic distance scale from accurate observations of various stellar distance indicators in nearby galaxies (e.g., Gieren et al. 2005; Pietrzyński et al. 2013b). In a long-term perspective, this analysis is expected to lead to a detailed understanding of the impact of metallicity or/and age on the various standard candles that are fundamental to calibrate the first rungs of the cosmic distance ladder. Errors in distance measurement methods propagate up the distance ladder, so minimization of errors at a local scale can significantly improve the accuracy of secondary distance indicators, and thus improve the determination of the Hubble constant. Significant improvement in the accuracy of distance measurements is possible by employing near-infrared (NIR) photometry, which minimizes the influence of both interstellar extinction and metallicity on the brightness of most stellar distance indicators (e.g., Pietrzyński et al. 2003; Gieren et al. 2009).

Several theoretical and empirical studies of RR Lyrae (RRL) stars demonstrated that these stars are able to provide improved distances from their magnitudes in the NIR domain as compared to traditional optical studies (e.g., Bono et al. 2003). Longmore et al. (1986) were the first to show that RRL stars follow a period–luminosity (PL) relation in the K band. Important contributions were added by Nemec et al. (1994), who made a comprehensive analysis of IR properties of RRL stars, and Bono et al. (2001), who put the first theoretical constrains on the K-band PL relation of RRLs based on nonlinear convective pulsation models.

The continuation of theoretical studies of RRL stars in NIR wavebands carried out by Bono et al. (2003) and Catelan et al. (2004) yielded the period–luminosity–metallicity (PLZ) relation in the NIR domain. They reported that the effect of metallicity on the luminosity of RRLs is noticeably smaller in the IR domain compared to the visual domain. Indeed, the metallicity term enters the PLZ relation with a coefficient of approximately 0.2 mag dex−1 in the K band (Bono et al. 2003), while in the V band the same metallicity coefficient can reach 0.3 mag dex−1 (Di Criscienzo et al. 2004). Following theoretical studies, empirical PLZ relations reported by Sollima et al. (2008), Borissova et al. (2009), and Dékány et al. (2013) showed the metallicity coefficient to be even smaller, ranging from 0.05 to 0.17 mag dex−1. While in the optical domain the effect of metallicity (and even more subtle factors, like the [α/Fe] ratio) on the PLZ relation is extensively studied, truly precise calibration of the PLZ in the NIR requires further theoretical and empirical work, and is beyond the scope of this paper.

In summary, detailed theoretical and empirical studies of RRL variables in the NIR domain demonstrated a decrease in scatter in the PL plane as well as a decrease in the metallicity dependence toward longer wavelengths. These two NIR properties of RRL variables, together with the fact that the interstellar reddening has a marginal effect on the brightness of stars in the IR domain, make the NIR PLZ relation for RRL stars an excellent means for distance determination to galaxies with a large old stellar population. This successful technique has already been used to provide accurate distances to the LMC (Szewczyk et al. 2008; Borissova et al. 2009), the SMC (Szewczyk et al. 2009), and the Sculptor dSph galaxy (Pietrzyński et al. 2008). In this paper, we report the first distance determination to the Carina dSph galaxy from an application of J- and K-band PLZ relations on Carina RRL stars. This study complements the existing distance determinations to Carina (Table 1) with a very competitive (accuracy at the 5% level or better) new measurement.

Table 1.  Summary of Recent Distance Determinations for the Carina dSph Galaxy, Obtained with Different Stellar Indicators, in the Optical and Near-infrared Domains

${(m-M)}_{0}$ Methoda Band Reference
19.87 ± 0.11 CMD V, I Mighell (1997)
20.24 ± ... CMD V Monelli et al. (2003)
19.96 ± 0.08 RC I Udalski (2000)
19.96 ± 0.06 RC I Girardi & Salaris (2001)
20.165 ± 0.015 RC K Pietrzyński et al. (2003)
20.05 ± 0.09 TRGB I Smecker-Hane et al. (1994)
19.94 ± 0.08 TRGB I Udalski (2000)
20.09 ± 0.03 ± 0.12 TRGB J Pietrzyński et al. (2009)
20.14 ± 0.04 ± 0.14 TRGB K Pietrzyński et al. (2009)
20.06 ± 0.12 DC V Mateo et al. (1998)
20.17 ± 0.10 DC B, V Vivas & Mateo (2013)
20.01 ± 0.05 SXP V McNamara (1995)
20.22 ± 0.05 DS V McNamara (2011)
20.12 ± 0.08 HB/RRL I Smecker-Hane et al. (1994)
19.93 ± 0.08 RRL V Udalski (2000)
20.10 ± 0.12 RRL V Dall'Ora et al. (2003)
20.18 ± 0.05 RRL V McNamara (2011)
20.09 ± 0.07 ± 0.10 RRL B, V Coppola et al. (2013)
20.118 ± 0.017 ± 0.11 RRL J, K This paper

Note.

aDistance determinations are based on: color–magnitude diagram (CMD), red clump stars (RC), tip of red giant branch stars (TRGB), dwarf Cepheids (DC), SX Phoenicis variables (SXP), δ Scuti variables (DS), horizontal branch stars (HB), and RR Lyrae variables (RRL).

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2. OBSERVATIONS, DATA REDUCTION, AND CALIBRATION

NIR observations were conducted between 2008 November 11 and 2008 December 5 with the High Acuity Wide-field K-band Imager (HAWK-I) installed at the Nasmyth focus of the UT4/VLT ESO 8 m telescope at the Paranal observatory in Chile. The dates and coordinates of target fields are given in Table 2. The location of six target fields in the Carina dSph galaxy was purposely chosen to overlap the Wide Field Imager (WFI) field from Dall'Ora et al. (2003), as shown in Figure 1. The HAWK-I field of view of four 2048 × 2048 pixel detectors was about 7farcm5 × 7farcm5 with a scale of 0farcs106 pixel−1 (a detailed description of the HAWK-I instrument is available in Kissler-Patig et al. 2008 and on the ESO website4 ). Six fields were observed in the J and Ks (further denoted as K) wavebands, under photometric conditions (seeing range 0farcs4–0farcs7). Our objects, having a minimal brightness higher than 20 mag in K and 21 mag in J, were well above the limiting HAWK-I magnitudes, i.e., 23.9 mag (J) and 22.3 mag (K) (Kissler-Patig et al. 2008). In order to minimize the influence of sky background, the observations were made in jitter mode, where the telescope was offset randomly between consecutive exposures, at a distance of 20'' from the original pointing. Total integration times were 31 and 15 minutes for the K and J bands, respectively.

Figure 1.

Figure 1. Six 7.5 × 7.5 arcmin VLT/HAWK-I fields in the Carina dSph galaxy, marked on the 50 × 50 arcmin DSS-2 infrared plate. The HAWK-I fields overlap the MPI/WFI field (34 × 33 arcmin) from Dall'Ora et al. (2003). North is up and east is to the left.

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Table 2.  Observational Information on the Target Fields

Field Field R.A. Decl. Date of
No. Name (J2000.0) (J2000.0) Observation
1 CAR-FI 06:41:06.16 −51:01:09.7 2008 Nov 17
2 CAR-FII 06:41:32.33 −51:07:22.8 2008 Nov 17, Dec 05
3 CAR-FIII 06:42:14.64 −51:01:58.8 2008 Nov 20
4 CAR-FIV 06:42:06.59 −51:07:53.2 2008 Nov 20
5 CAR-FV 06:41:58.41 −50:53:22.2 2008 Nov 20
6 CAR-FVI 06:40:25.17 −51:08:52.0 2008 Nov 17, Dec 05

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2.1. HAWK-I Reduction Pipeline

The HAWK-I reduction pipeline, a module of the ESO Recipe Execution Tool (EsoRex), was utilized to execute complete reduction of our data. The reduction described below was executed simultaneously for all four chips of the MEF (Multiple Extention FITS) file. In the NIR domain the brightness of the atmosphere is significant, and therefore the background removal is crucial to calculate the brightness of target objects. The reduction pipeline ran this subtraction twice. The first background subtraction, using the median of the adjacent science images, took place after the basic calibration routines (dark correction, flat fielding, and bad pixel correction). Before the second background subtraction, all frames were combined into one image, which was used in the object detection routine to derive the object mask. Only then was the second background subtraction performed for all frames, this time ignoring the pixels covered by the object mask. Each HAWK-I chip is affected in a minor way (less than 0.3% across the field) by distortions that originate from various causes: atmospheric refraction, the non-planar surface of detectors. These errors were minimized by creating a distortion map consisting of a grid of x and y correction shifts and applying this map on each frame in order to recover the undistorted position of the detected objects (Kissler-Patig et al. 2008). Next, the images underwent an offset refinement procedure of sub-pixel accuracy, which abolished the shifts in the images caused by jittering. As the final step, the images were combined again into one final image. Because images of standard stars had only one exposure frame, the procedure leading to the final product consisted of fewer steps: basic calibration (dark correction, flat fielding), sky subtraction, and distortion correction. For more details on the data calibration, the reader is referred to the ESO website.

2.2. Photometry and Calibration

The pipeline developed in the course of the Araucaria Project was used for photometry; in particular, the point-spread function (PSF) photometry and aperture corrections were applied using DAOPHOT and ALLSTAR programs in the way described by Pietrzyński & Gieren (2002). In order to calibrate our photometric data to the standard system, 16 standard stars from the United Kingdom Infrared Telescope list (UKIRT; Hawarden et al. 2001) were observed at different air masses and spanning a broad range in color, bracketing the colors of the RRL stars in Carina. Taking into account the large number of standard stars, the accuracy of the zero point of our photometry was estimated to be about 0.02 mag.

In order to make an external check of our photometric zero point, we performed two independent brightness comparisons using data collected with different telescopes. In one, we filtered the 143 brightest stars from our data set, transformed them to the 2MASS photometric system, and then compared with 2MASS photometry. In the other, we used data collected under photometric conditions with the NTT/SOFI instrument at ESO La Silla Observatory, Chile.5 The reduction procedure was analogous to the routine described above for HAWK-I data, only it was performed using IRAF packages in the way described by Pietrzyński & Gieren (2002). PSF photometry, including aperture corrections, was performed in the exact same way as for the HAWK-I data. The calibration into UKIRT photometric system was based on 10 standard stars, observed together with the target fields under the photometric conditions and at different air masses. The accuracy of the photometry zero point of this calibration was estimated to be 0.02 mag. Finally, around 200 common stars from SOFI data set and HAWK-I data set, brighter than 17 mag, were paired and their calibrated photometric magnitudes were compared. This method allowed us to determine zero-point differences (in the sense 2MASS/SOFI photometry minus our results), which are given in Table 3. The results firmly support the accuracy of the absolute calibration.

Table 3.  Difference in Zero Point Calibration between 2MASS and SOFI, and Our Data Obtained with HAWK-I

Filter 2MASS–HAWK-I SOFI–HAWK-I
  (mag) (mag)
J 0.019 ± 0.049 0.039 ± 0.042
K 0.036 ± 0.071 0.018 ± 0.039

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2.3. Identification of Variables

The list of variables from Dall'Ora et al. (2003) served as a reference to cross-identify 33 RRL (29 RRab + 4 RRc) stars in our fields. Although our six HAWK-I fields overlapped the WFI field only 30% of the time (see Figure 1), the sample of identified RRL stars constitutes 61% of the sample of Dall'Ora. The position of our RRLs on the K, JK color–magnitude diagram (CMD) is shown in Figure 2. All RRLs from our final sample have at least one measurement collected during photometric conditions. In the case of nine RRL stars, which were observed twice or found in two overlapping fields, we took a straight average of the random-phased magnitudes, which is expected to lead to a better approximation of their mean magnitudes. In case of single-measurement RRL stars, we took advantage of RRL infrared light curves (nearly sinusoidal and small-amplitude) and accepted single-phased measurements of J and K magnitudes as reasonably accurate approximations of their mean magnitudes in these bands. Indeed, since the RRL NIR amplitude is not larger than 0.4 mag (Marconi et al. 2003; Szabó et al. 2014), random-phased single measurements may cause deviations from the mean magnitude of a maximum of 0.2 mag for a single star. This error is extensively reduced by taking a large sample of stars. The J- and K-band random-phased magnitudes of the final RRL sample together with formal photometry errors from DAOPHOT and pulsational periods from the reference list (Dall'Ora et al. 2003) are presented in Table 4. In the case of nine RRL stars observed more than once, individual observations were put in separate rows.

Figure 2.

Figure 2. Infrared K, JK CMD showing identified RRab (black filled circles) and RRc (white filled circles) stars in observed fields. Although the Carina dSph galaxy is 22° from the galaxy plane, two pillars on the CMD plot that denote galactic disk dwarf stars ($J-K\approx 0.45$ mag) and halo giant stars ($J-K\approx 0.7$ mag) are clearly visible.

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Table 4.  Random-phase J and K Magnitudes of the Complete Sample of 33 RR Lyrae Stars. In Case of Nine RRL Stars Observed More than Once, Individual Observations are Placed in Separate Rows

Star IDa HAWK-I field R.A. Decl. Period Type J σJ K σK $J-K$
    (J2000.0) (J2000.0) (d)   (mag) (mag) (mag) (mag) (mag)
V30 CAR-FIII 06:42:24.16 −51:02:39.1 0.619 ab 19.601 0.010 19.318 0.026 0.286
V31 CAR-FIII 06:42:22.98 −50:59:16.1 0.651 ab 19.528 0.010 19.203 0.019 0.327
V40 CAR-FIV 06:42:15.63 −51:06:59.9 0.394 c 19.923 0.013 19.600 0.021 0.324
V47 CAR-FV 06:42:09.04 −50:53:53.4 0.324 c 19.851 0.020 19.741 0.028 0.111
V49 CAR-FIII 06:42:08.85 −51:01:11.8 0.686 ab 19.566 0.012 19.260 0.020 0.308
V57 CAR-FV 06:42:02.80 −50:52:56.5 0.612 ab 19.552 0.015 19.293 0.022 0.259
V60 CAR-FIV 06:41:59.75 −51:06:38.2 0.615 ab 19.769 0.014 19.377 0.022 0.392
V65 CAR-FV 06:41:55.77 −50:55:34.9 0.642 ab 19.918 0.021 19.539 0.025 0.378
V67 CAR-FII 06:41:52.66 −51:05:19.3 0.613 ab 19.774 0.012 19.441 0.022 0.335
V67 CAR-FII 06:41:52.66 −51:05:19.3 0.613 ab 19.758 0.012 19.392 0.022 0.368
V67 CAR-FII 06:41:52.66 −51:05:19.3 0.613 ab 19.786 0.012 19.486 0.023 0.300
V73 CAR-FIV 06:41:46.91 −51:07:06.9 0.571 ab 19.819 0.014 19.496 0.022 0.323
V74 CAR-FV 06:41:43.79 −50:54:08.3 0.403 c 19.733 0.017 19.485 0.031 0.248
V77 CAR-FII 06:41:39.26 −51:05:39.5 0.605 ab 19.797 0.014 19.437 0.021 0.361
V77 CAR-FII 06:41:39.26 −51:05:39.5 0.605 ab 19.871 0.014 19.454 0.022 0.417
V85 CAR-FV 06:41:35.66 −50:50:07.1 0.644 ab 19.800 0.017 19.405 0.025 0.393
V91 CAR-FII 06:41:29.47 −51:04:28.4 0.720 ab 19.754 0.010 19.339 0.020 0.415
V91 CAR-FII 06:41:29.47 −51:04:28.4 0.720 ab 19.754 0.012 19.386 0.018 0.367
V92 CAR-FII 06:41:28.77 −51:06:50.3 0.620 ab 19.568 0.012 19.233 0.022 0.335
V92 CAR-FII 06:41:28.77 −51:06:50.3 0.620 ab 19.758 0.013 19.539 0.024 0.220
V105 CAR-FII 06:41:16.57 −51:09:02.8 0.630 ab 19.548 0.012 19.243 0.020 0.305
V105 CAR-FII 06:41:16.57 −51:09:02.8 0.630 ab 19.693 0.012 19.388 0.022 0.308
V116 CAR-FI 06:41:05.60 −51:00:28.2 0.685 ab 19.777 0.012 19.497 0.023 0.280
V122 CAR-FI 06:40:56.95 −51:00:46.0 0.627 ab 19.539 0.010 19.230 0.020 0.309
V125 CAR-FI 06:40:53.33 −50:58:53.4 0.597 ab 19.796 0.013 19.443 0.023 0.353
V126 CAR-FI 06:40:52.31 −50:58:56.7 0.560 ab 19.896 0.014 19.543 0.025 0.353
V127 CAR-FI 06:40:52.19 −50:59:20.9 0.625 ab 19.692 0.011 19.349 0.020 0.343
V135 CAR-VI 06:40:46.44 −51:05:23.6 0.590 ab 19.575 0.011 19.266 0.019 0.311
V135 CAR-VI 06:40:46.44 −51:05:23.6 0.590 ab 19.800 0.012 19.481 0.021 0.319
V143 CAR-VI 06:40:38.25 −51:11:29.6 0.601 ab 19.665 0.013 19.335 0.024 0.330
V159 CAR-VI 06:40:12.75 −51:09:35.6 0.578 ab 19.557 0.012 19.332 0.020 0.229
V159 CAR-VI 06:40:12.75 −51:09:35.6 0.578 ab 19.879 0.014 19.586 0.024 0.293
V179 CAR-FV 06:41:49.33 −50:54:10.6 0.665 ab 19.523 0.017 19.232 0.024 0.291
V188 CAR-VI 06:40:12.37 −51:07:06.1 0.600 ab 19.621 0.012 19.358 0.021 0.263
V188 CAR-VI 06:40:12.37 −51:07:06.1 0.600 ab 19.646 0.012 19.374 0.021 0.272
V189 CAR-VI 06:40:09.97 −51:08:05.1 0.700 ab 19.544 0.010 19.313 0.018 0.232
V197 CAR-FI 06:41:00.26 −51:02:39.7 0.295 c 20.117 0.014 19.910 0.032 0.207
V199 CAR-FII 06:41:19.65 −51:10:23.3 0.784 ab 19.402 0.009 19.126 0.018 0.279
V199 CAR-FII 06:41:19.65 −51:10:23.3 0.784 ab 19.506 0.009 19.142 0.018 0.364
V201 CAR-FIII 06:42:10.49 −50:59:07.5 0.692 ab 19.646 0.010 19.315 0.018 0.332
V202 CAR-FIII 06:42:22.61 −50:59:18.4 0.620 ab 19.528 0.010 19.287 0.021 0.244
V204 CAR-FIII 06:42:04.17 −51:01:51.3 0.629 ab 19.560 0.018 19.222 0.023 0.340
V206 CAR-FIV 06:42:04.21 −51:09:40.9 0.585 ab 19.826 0.013 19.545 0.025 0.282

Note.

aStar IDs from Dall'Ora et al. (2003).

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3. DISTANCE DETERMINATION

In order to derive the apparent distance moduli to the Carina galaxy from our data, we used the following calibrations of the NIR PLZ relation for RRL stars:

Equation (1)

Equation (2)

Equation (3)

Equation (4)

Equation (5)

We recall that the calibration of Sollima et al. (2008) was constructed for the 2MASS photometric system;6 the calibrations of Bono et al. (2003) and Catelan et al. (2004) are valid for the Bessel, Brett, and Glass system (BBG); and Dékány et al. (2013) calibrated his formula onto the VISTA photometric system. Therefore, we transformed our own data and calibrated them onto UKIRT (Hawarden et al. 2001), the BBG and 2MASS systems using the transformations presented by Carpenter (2001), and the VISTA system through the equations provided by CASU.7 The above equations also account for first-overtone pulsators, once their period has been "fundamentalized" by adding a value of 0.127 to the logarithm of their periods.

We calculated K- and J-band photometric zero points and slopes for our sample of 33 RRLs using photometric magnitudes derived from our data and pulsational periods excerpted from Dall'Ora et al. (2003), as given in Table 4. The linear least squares fitting to our data yielded the following slopes: −1.79 ± 0.13 and −2.35 ± 0.08 in the J and K bands, respectively. We compared the obtained slopes with corresponding slopes from theoretical (Bono et al. 2003; Catelan et al. 2004) and empirical (Sollima et al. 2008; Dékány et al. 2013) PLZ relations (1)–(5). As seen in Figure 3, a large number of data points is concentrated within a small period range, which leads to an increase in uncertainties of both the slope and the zero point of our fit. In order to reduce this effect and gain accuracy of the zero point, our further calculations relied on the slopes from formulae (1)–(5), provided that our slope values exhibit no virtual difference from the "reference" ones. We derived the apparent distance moduli by fitting the zero point for the fixed slopes of relations (1)–(5), assuming the mean metallicity of Carina [Fe/H] = −1.72 ± 0.25 dex (Koch et al. 2006) in the Carretta & Gratton (1997) metallicity scale.

Figure 3.

Figure 3. Period–luminosity relations for J and K bands defined by a combined sample of RRL stars (RRab + "fundamentalized" RRc) observed in the Carina dSph galaxy, plotted along with the best fitted lines. The slopes of the fits were adopted from the recent theoretical and empirical calibrations, and the zero points were determined from our data. Filled and open circles represent RRab and RRc stars, respectively. The observed scatter is related mostly to the single phase nature of our photometry. Magnitude error bars are within the size of the circles.

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In order to correct obtained apparent distance moduli for interstellar extinction, we adopted a foreground reddening calculated toward the Carina galaxy from the Galactic extinction maps of Schlegel et al. (1998) along with the reddening law RV = 3.1 (Cardelli et al. 1989). We assumed the value $E(B-V)=0.06$ mag to be an average of our six target fields (for discussion see Section 4.2). We obtained the following values of extinction in the NIR bands: AJ = 0.054 mag, AK = 0.022 mag. The resulting true distance moduli for the Carina dSph galaxy with associated uncertainties are summarized in Table 5. We adopt an averaged value of 20.118 ± 0.017 mag as the true distance modulus to the Carina galaxy. The systematic uncertainties are discussed in Section 4.1.

Table 5.  True Distance Moduli Determined from Different Calibrations

Filter K K K K J
Calibration Sollima Bono Dékány Catelan Catelan
${(m-M)}_{0}$ 20.078 20.142 20.115 20.116 20.140
Statistical error 0.016 0.016 0.016 0.016 0.019
Systematic error 0.090 0.110 0.100 0.100 0.100

Note. The average foreground reddening $E(B-V)=0.06$ mag toward the Carina galaxy was calculated using reddening maps from Schlegel et al. (1998).

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4. DISCUSSION

The distance moduli obtained from several independent theoretical and empirical calibrations of the infrared RRL PLZ relations are consistent. The maximum difference of 0.06 mag between the results from the calibration of Sollima et al. (2008) and Bono et al. (2003) is not significant taking into account all uncertainties. A similar discrepancy was recently reported for the SMC (Szewczyk et al. 2009), the LMC (Szewczyk et al. 2008), and the Sculptor galaxy (Pietrzyński et al. 2008). One possible explanation is the underestimation of the effect of metallicity in Equation (1) relative to the rest of the calibrations (2)–(5). The other possible explanation is the zero-point offset, in the sense that the distance modulus from the calibration of Sollima et al. (2008) is slightly shorter compared to those from the calibration of Bono et al. (2003). The earlier zero-point calibration of the PLZ relation of Sollima et al. (2006), based on globular clusters, showed even larger offset (increased by 0.03 mag), and so we consider the present difference of 0.06 mag an improvement in consistency between Bono et al. (2003) and Sollima et al. (2008).

A shorter distance modulus of 19.94 mag, calculated by Udalski (2000), was tied to the underestimated LMC distance modulus (18.24 mag) derived by him from optical photometry of the red clump stars, and served as a point of reference for the distance determination to Carina. Providing a corrected distance modulus to the LMC of 18.493 mag (Pietrzyński et al. 2013a), Udalski's result can be recalculated, yielding a value in close agreement with this work.

4.1. Uncertainties

The uncertainties associated with our results are twofold. The statistical error (expressed as the standard deviation from the fit) contributes values of 0.019 mag (J) and 0.015 mag (K) to the overall distance error, and accounts for (i) the intrinsic scatter caused by single-phased measurements, (ii) the photometric error on each star, and (iii) the uncertainty of the atmospheric extinction correction. The systematic error is associated with (i) the uncertainty of the adopted mean metallicity, (ii) the uncertainty of the photometric zero point, (iii) the uncertainty of the reddening correction, and (iv) the uncertainty of the zero point of the distance modulus fit.

The last source of the systematic error addresses the possibility that at the moment of observation a significant number of RRL stars from our sample could have brightnesses above (below) their mean luminosities. Since we treated single-phased magnitudes as mean magnitudes, these stars would bias the zero point of the distance modulus fit toward higher (lower) values. In order to evaluate this error, we generated a sample of 30 RRL light curves and used them to calculate distances for two cases: (i) the mean brightness is known from a complete light curve, (ii) the mean brightness is approximated by a single-phased measurement, i.e., a single point taken at random from each light curve. Any difference in distance calculated for these two cases was treated as a contribution to the overall bias. Repeating this procedure 1000 times for different amplitudes and shapes of light curves (saw-tooth, semicircle, and sinusoid), we calculated the mean offset between distances derived from complete light curves and from one random-phased measurement of 0.001 ± 0.02 mag. Therefore we adopt 0.02 mag as an additional source of the systematic error. We recall that in the case of stars with a couple of observation points, we took a straight average of random-phased magnitudes, which led to a better approximation of the mean magnitudes for these stars and to a reduction in the uncertainty of the zero-point fit.

The systematic error of a maximum value of 0.11 mag (see Table 5) significantly surpasses the statistical error and is dominated by the metallicity uncertainty. Taking into account errors from both sources, our best distance determination to the Carina dSph galaxy is 20.118 ± 0.017 (statistical) ± 0.11 (systematic) mag.

4.2. Extinction

In this study, we adopted a foreground reddening value of $E(B-V)=0.06$ mag based on the Galactic extinction maps of Schlegel et al. (1998). We treated internal extinction in Carina as insignificant due to the fact that low-mass, old, and evolved objects, such as RRL stars, are very unlikely to be significantly obscured by the interstellar gas from dynamic evolution or mass outflows. Because many authors chose the foreground reddening value of $E(B-V)=0.03$ mag (e.g., Smecker-Hane et al. 1994; Dall'Ora et al. 2003; Monelli et al. 2003; Coppola et al. 2013), we tested this value with our data and received distance moduli changed only by 0.01 mag compared to the distances given in Table 5. Therefore, we claim that the reddening $E(B-V)$ in the range 0.03–0.06 mag has an insignificant effect (within the errors) on the distance derived from NIR photometry of RRL stars.

4.3. Metallicity

Because RRL stars in Carina are too faint to spectroscopically measure their metallicities, the most certain information on the metal abundance in Carina comes from spectroscopic measurements of much brighter red giant branch (RGB) stars. In our work, we adopted a mean metallicity [Fe/H] = −1.72 dex, derived by Koch et al. (2006), from a large sample of 437 spectra of mixed-age population RGB stars. Old RRL stars may have metallicities slightly below this average, but this issue is addressed in the adopted uncertainty σ[Fe/H] = 0.25 dex. Our result closely agrees with other RRL distance determinations at similar metallicities; Dall'Ora et al. (2003) found distance moduli of 20.10 ± 0.12 mag for [Fe/H] = −1.7 dex and Coppola et al. (2013) 20.09 ± 0.07 ± 0.10 mag for [Fe/H] = −1.79 dex. A slightly larger value of 20.18 ± 0.05 mag was found by McNamara (2011) for [Fe/H] = −2.0 dex, yet this determination is still consistent (within the errors) with this paper.

5. SUMMARY AND CONCLUSIONS

We determined the distance to the Local Group Carina dwarf galaxy from single-phase NIR observations in the J and K bands of 33 RRL stars. The distance moduls to Carina was calculated using different theoretical and empirical calibrations of the NIR PLZ relation for RRL stars. We advocate an averaged value of 20.118 ± 0.017 (statistical) ± 0.11 (systematic) mag as a true, reddening-corrected distance modulus to the Carina galaxy. Our results are consistent and agree with other distance determinations obtained from a number of different and independent techniques and in different wavebands, especially with red clump stars and the tip of the RGB examined in the NIR domain in the course of the Araucaria Project (Pietrzyński et al. 2003, 2009). The method presented in this paper was successfully used to measure distances to four members of the Local Group (LMC, SMC, Sculptor, and Carina) and was proved to be an excellent tool for accurate distance determination, particularly for galaxies and clusters that lack young standard candles, like Cepheids. Distances to the LMC and the SMC, derived from the NIR PLZ relation for RRLs, are in excellent agreement with the results obtained from late-type eclipsing binaries (Pietrzyński et al. 2013a; Graczyk et al. 2014). The main asset of using eclipsing binaries for distance determination is that the distance is determined in an almost geometrical way, and thus is very weakly affected by population effects. The consistency of the results from these two methods—eclipsing binaries and NIR RRL variables—proves the reliability of the latter. The NIR PLZ relation for RRL stars is a robust method for accurate distance measurements, being only little influenced by metallicity and reddening within a fair range of values. This study complements existing distance measurements to the Carina galaxy with a very competitive (accuracy at the 5% level or better) new determination.

We greatly appreciate constructive remarks from an anonymous referee that helped to improve this paper. We thank the staff of the ESO Paranal and La Silla observatories for their support during the observations. We also gratefully acknowledge financial support for this work from the Polish National Science Centre grant PRELUDIUM 2012/07/N/ST9/04246 and the TEAM subsidy from the Foundation for Polish Science (FNP). W.G., G.P., and D.G gratefully acknowledge financial support for this work from the BASAL Centro de Astrofisica y Tecnologias Afines (CATA) PFB-06/2007. W.G., M.G., and D.G. also gratefully acknowledge support from the Chilean Ministry of Economy, Development and Tourism's Millennium Science Initiative through grant IC 120009 awarded to the Millennium Institute of Astrophysics (MAS). This research has made use of the 2MASS Database.

Footnotes

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10.1088/0004-6256/150/3/90