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FINE-SCALE STRUCTURE OF THE QUASAR 3C 279 MEASURED WITH 1.3 mm VERY LONG BASELINE INTERFEROMETRY

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Published 2013 June 28 © 2013. The American Astronomical Society. All rights reserved.
, , Citation Ru-Sen Lu et al 2013 ApJ 772 13 DOI 10.1088/0004-637X/772/1/13

0004-637X/772/1/13

ABSTRACT

We report results from five day very long baseline interferometry observations of the well-known quasar 3C 279 at 1.3 mm (230 GHz) in 2011. The measured nonzero closure phases on triangles including stations in Arizona, California, and Hawaii indicate that the source structure is spatially resolved. We find an unusual inner jet direction at scales of ∼1 pc extending along the northwest–southeast direction (P.A. = 127° ± 3°), as opposed to other (previously) reported measurements on scales of a few parsecs showing inner jet direction extending to the southwest. The 1.3 mm structure corresponds closely with that observed in the central region of quasi-simultaneous super-resolution Very Long Baseline Array images at 7 mm. The closure phase changed significantly on the last day when compared with the rest of observations, indicating that the inner jet structure may be variable on daily timescales. The observed new direction of the inner jet shows inconsistency with the prediction of a class of jet precession models. Our observations indicate a brightness temperature of ∼8 × 1010 K in the 1.3 mm core, much lower than that at centimeter wavelengths. Observations with better uv coverage and sensitivity in the coming years will allow the discrimination between different structure models and will provide direct images of the inner regions of the jet with 20–30 μas (5–7 light months) resolution.

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1. INTRODUCTION

Highly beamed relativistic jets associated with active galactic nuclei are believed to be powered by accretion of the central supermassive black holes and/or their spin. The creation mechanism of these jets, however, remains an enigma. Very long baseline interferometry (VLBI) observations at short millimeter wavelengths provide the highest angular resolution achievable in astronomy and allow us to explore the compact core regions of these jets, which are self-absorbed at longer wavelengths. In recent years, VLBI observations at 3.5 mm have been regularly performed either with the Global Millimeter VLBI Array or with the standalone Very Long Baseline Array (VLBA). At 1.3 mm, significant progress has been achieved in the last few years with the Event Horizon Telescope (EHT; Sgr A*: Doeleman et al. 2008; Fish et al. 2011; 1921−293: Lu et al. 2012; M87: Doeleman et al. 2012).

At a redshift of z = 0.536 (Marziani et al. 1996), the quasar 3C 279 (B1253-055, 1 mas corresponding to 6.31 pc and 0.1 mas yr−1 corresponding to a transverse velocity of 3.2 c, assuming a standard cosmological model with H0 = 71 km s−1 Mpc−1, ΩM = 0.27, ΩΛ = 0.73) is one of the brightest radio sources. It is the first source in which superluminal motion was discovered (Whitney et al. 1971), with its jet oriented very close to the line of sight (0fdg1–5fdg0; Bloom et al. 2013). The high brightness and compactness made 3C 279 one of the primary targets for high-frequency VLBI fringe detections (Greve et al. 2002; Krichbaum et al. 1997). It is known for its rapid variations across the entire electromagnetic spectrum with various timescales from hours/days to years, and has been monitored intensively at various wavelengths (e.g., Larionov et al. 2008; Collmar et al. 2010; Hayashida et al. 2012).

The large-scale radio structure of 3C 279 is characterized by a compact flat-spectrum core with a jet extending to about 5'' along a position angle (P.A.) of 205° (measured north through east) and a radio lobe extending to the northwest about 10'' away (e.g., de Pater & Perley 1983). Cheung (2002) detected optical and ultraviolet emission from the kiloparsec-scale jet and found a bright knot coincident with a peak in the radio jet ∼0farcs6 from the nucleus.

3C 279 has been closely monitored with VLBI over four decades, yielding a wealth of detailed information about the jet on parsec scales (e.g., Cohen et al. 1971; Cotton et al. 1979; Pauliny-Toth et al. 1981; Unwin et al. 1989; Jorstad et al. 2001, 2005; Wehrle et al. 2001; Homan et al. 2003; Chatterjee et al. 2008). On VLBI scales, the structure is dominated by a jet extending to the southwest, with multiple projected apparent speeds and P.A.s. Polarimetric observations have detected both linearly and circularly polarized emission from the parsec-scale jet of 3C 279 (e.g., Leppänen et al. 1995; Wardle et al. 1998; Taylor 2000; Attridge 2001; Zavala & Taylor 2001; Homan et al. 2009). The first detection of circular polarization has been used to argue for an electron–positron composition of the jet (Wardle et al. 1998).

In this paper, we present results from high-resolution 1.3 mm VLBI observations of 3C 279. Sections 2 and 3 summarize the EHT observations at 1.3 mm, data reduction, and calibration. Section 4 describes the results from these observations, and the source structure at 7 mm from VLBA observations, followed by discussion in Section 5. Section 6 summarizes our conclusions.

2. OBSERVATIONS

An ensemble of sources (3C 273, M 87, 3C 279, 1633+382, 3C 345, NRAO 530, Sgr A*, 1749+096, 1921−293, BL Lac, 3C 454.3) was observed with the EHT during the nights of 2011 March 29 and 31 and 2011 April 1, 2, and 4 (days 88, 90, 91, 92, and 94). Here, we focus on the source 3C 279 and others will be presented elsewhere. Left circular polarization was observed at all sites. Two 480 MHz bandwidths were centered at 229.089 and 229.601 GHz (referred to as the low and high bands, respectively). The DBE1 digital back end designed at MIT Haystack Observatory was used for all single-antenna stations. Beamformers at the Submillimeter Array (SMA) and Combined Array for Research in Millimeter-Wave Astronomy (CARMA) are based on the DBE1 architecture as well. Both the DBE1 and beamformer systems channelize the data into 15 32 MHz channels. Hydrogen masers were used as timing and frequency references at all sites, with the exception that the 10 MHz reference signal for the 1024 MHz sampler clock in the digital back ends at CARMA was erroneously derived from a local rubidium oscillator instead of the hydrogen maser on days 88–92; the hydrogen maser was used on day 94. Data were recorded onto modules of hard drives using the Mark 5B+ system and correlated with the Haystack Mark 4 VLBI correlator using 32 lags and an accumulation period of 1 s.

The array consisted of seven stations located at three different sites: the CARMA site in California, Mauna Kea in Hawaii, and Mount Graham in Arizona. The stations are indicated by the one-letter codes used hereafter (Table 1).

  • C A single 10.4 m CARMA antenna (C4). The CARMA beamformer was used in a "passthrough" mode as the back end.
  • D A single 10.4 m CARMA antenna (C1) using a DBE1 back end.
  • F The phased sum of seven CARMA antennas. Signals from three 10.4 m and four 6.1 m antennas were added using the CARMA beamformer. Only the high band was phased. Station F replaced station C in the high band when it was used on days 91–94.
  • J The James Clerk Maxwell Telescope (JCMT), using a DBE1 back end. Station J was used as a standalone antenna on day 88 only.
  • O The Caltech Submillimeter Observatory (CSO), using a DBE1 back end. Station O was used as a standalone antenna on days 90–94.
  • P The phased sum of seven SMA antennas plus either the CSO (day 88) or the JCMT (days 90–94).
  • S The Arizona Radio Observatory Submillimeter Telescope (SMT) on Mount Graham.

Table 1. Array Description

Facility Code Effective Aperture Days Note
(m)
CARMA C 10.4 88–94 Single dish, high band replaced by F on days 90–94
CARMA D 10.4 88–94 Single dish
CARMA F 21.8 91–94 3 × 10.4 m + 4 × 6.1 m (high band only)
Hawaii J 15.0 88 JCMT standalone
Hawaii O 10.4 90–94 CSO standalone
Hawaii P 19.0/21.8 88–94 SMA (7 × 6.0 m)+CSO (day 88)/JCMT (days 90–94)
SMT S 10.0 88–94  

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2.1. Weather

Observations were triggered at all sites several hours before the start of each night's schedule based on expected weather conditions. On Mauna Kea, 90% of zenith opacity measurements over the course of the five nights of observations fell into the range of 0.04–0.15. The 90% opacity ranges at the SMT and CARMA were 0.11–0.34 and 0.23–0.48, respectively. Atmospheric coherence was poor at the CARMA site on day 92, with effects as noted in the following sections.

3. DATA REDUCTION AND CALIBRATION

We reduced the data using the Haystack Observatory Postprocessing System (HOPS). Variable tropospheric conditions at each site introduce phase errors that cause signal loss for integrations longer than the coherence time of the atmosphere, which typically ranges from 1 s to about 20 s, depending on the weather (Doeleman et al. 2001, 2008). HOPS tasks are designed to deal with data that are segmented on these short timescales, increasing the signal-to-noise ratio (S/N) of detection relative to coherently integrated data and accounting for amplitude losses due to atmospheric decoherence (Rogers et al. 1995).

Initial baseline fringe fitting was done without segmentation using the HOPS task fourfit. Detections with high S/N were used to determine several important quantities for further processing. First, the phase offsets between the 32 MHz channels within each band were determined. Second, approximate atmospheric coherence times maximizing the S/N of detection were calculated to guide further incoherent fringe searching. Third, the residual singleband delay, multiband delay, and delay rate were used to set up narrow search windows for each source to assist in fringe finding.

Scans that produced weak detections or no detection at all were reanalyzed with fourfit. Data were then segmented at 4–6 s at a grid of values of multiband delay and delay rate, and the amplitudes were time averaged at all grid cells. This technique, known as incoherent averaging, allows weaker fringes to be detected in the presence of rapidly variable tropospheric delays. Finally, detected fringes were segmented at a cadence of 1 s and averaged to produce noise-debiased estimates of the correlation coefficients. Segmented bispectra were also formed and then averaged to construct the closure phase.

The integration time of the incoherent averaging in the final analysis is about 4 minutes per scan for days 88 and 90, 5 minutes for days 91 and 92, and 3 minutes for day 94. All baselines yielded detections on 3C 279 with typical S/Ns of up to 300–400 on the intra-site baselines and 4–6 on the longest baselines (between Arizona and Hawaii). Variations in S/N are mainly due to source structure. However, partially due to known poor atmospheric conditions at some sites, there were some non-detections.

3.1. Issues Relating to the Mixed Hydrogen Maser/Rubidium Setup

The use of the rubidium standard to drive the sampler clocks at CARMA on days 88–92 introduced small delay and frequency drifts into the data. A detailed investigation of affected scans showed that these could be compensated for by introducing an additional multiband delay drift term along with a proportional local oscillator frequency offset. The value of this delay drift was different from scan to scan and ranged in magnitude up to about 32 ps s−1. An analysis of high S/N scans indicated that the delay drift could be characterized as being approximately linear with time over the course of a scan lasting several minutes. A modified version of fourfit was produced to allow a user-specified delay drift to be removed before fringe fitting.

Since the same timing references were used at all CARMA telescopes, data on CARMA–CARMA baselines (CD and FD) were unaffected. Additionally, a single delay drift value per scan is sufficient to characterize the effects of this setup for both bands and all baselines including exactly one CARMA station. Determination of delay drift values was done on a scan-by-scan basis by maximizing the S/N of the SMT–CARMA baselines (SD and either SC or SF), which are generally the highest S/N baselines to CARMA due to the fact that the relatively short baseline length does not resolve out as much source emission as the Hawaii–CARMA baselines do.

To the extent that the delay drifts were not linear over the course of a scan, it is possible that the calibrated VLBI amplitudes on the CARMA baselines slightly underestimate the true values. An analysis of the variation of sub-scan delay solutions showed a typical rms scatter of about 0.2 ns during a 4 minute scan. The scatter of the delay corresponds to a de-correlation of ∼2%, caused by a phase change of about 35° across the 480 Hz band, which is less than the uncertainties imposed by calibration.

We verified that closure phases on triangles including a CARMA station are unaffected, since station-based clock errors do not typically introduce non-closing phase errors. The corrections applied in the modified version of fourfit are likewise station-based, so phase rotations applied on one baseline including a CARMA station are exactly compensated by a negative rotation on the other baseline involving CARMA in a triangle. Change of the delay drift around the best-fit values does not introduce significant changes in closure phase. Analysis of sub-scans at shorter intervals with equal duration also shows consistency of closure phases with scan-averaged values, indicating that a single delay drift per scan is sufficient. As an example, Figure 1 compares the closure phase of NRAO 530 on days 88–92 with that on day 94 on the SMT–CARMA–Hawaii triangle. Consistent closure phases were measured on the five days of the observation.

Figure 1.

Figure 1. Closure phases of NRAO 530 on the SMT–CARMA–Hawaii triangle.

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3.2. A Priori Calibration

VLBI correlation coefficients are converted to flux densities by multiplication by the geometric mean of the opacity-corrected system equivalent flux density (SEFD) of the two telescopes on a baseline. The SEFD in turn depends on both the system temperature (Tsys) of each scan and the gain of the telescope (or, equivalently, the geometric area and the aperture efficiency).

The aperture efficiencies of the JCMT and the SMT were computed from planet observations in 2009 using a setup identical to the one used for 2011 (Fish et al. 2011). Planet observations were also used to determine the CSO aperture efficiency. System temperatures were obtained using a vane calibration technique. System temperature measurements were taken before each VLBI scan at all sites except at the CSO, where fewer measurements were taken. Comparison of the measured Tsys values at the CSO with those of the nearby JCMT showed a strong correlation, and an empirical fit was used to estimate the system temperature of the CSO when values were missing. System temperatures at CARMA were measured using a chopper wheel before each VLBI scan, then updated continuously during the scan under the assumption that the receiver gain is constant.

Phase switching and lobe rotation were disabled for the single CARMA antennas, preventing simultaneous interferometric and VLBI observations, so SEFDs for stations C and D were determined from CARMA correlator data obtained immediately before each VLBI scan. Self-calibration was used to determine gain corrections for each scan, which were then used to produce an opacity-corrected SEFD. For station F, complex voltage correction factors were calculated from self-calibration every 10 s and used in constructing the phased sum. As a result, the SEFDs for station F implicitly take into account losses due to imperfect phasing. The median phasing efficiency exceeded 70% on days 91 and 94 but was only 50% on day 92 due to increased atmospheric turbulence.

On Mauna Kea, the phased array system installed at the SMA aggregated the collecting area of seven SMA antennas with the CSO as the eighth antenna on day 88 and the JCMT as the eighth on the last four days of the observation. The phased array system estimates correcting phases on a scan-by-scan basis using a seven baseline "calibration correlator." The phasing efficiency for each calibration correlator frequency is estimated as the absolute value of the vector sum divided by the scalar sum of the calibration correlator visibilities. The sums are taken over the calibration correlator baselines to the reference antenna. These estimated phasing efficiencies for each frequency bin are then averaged over frequency to produce a single phasing efficiency estimate for each calibration correlator scan. An SEFD for the corresponding phased sum (SEFDphased) is computed, by first computing the SEFD for each dish (SEFDi) in the phased array as ${\rm SEFD}_{i}=2\times T_{{\rm sys}_{i}} \times G_{D_{i}}$, where $T_{{\rm sys}_{i}}$ is the measured DSB system temperature and $G_{D_{i}}$ is the dish gain (in janskys per Kelvin) for antenna i. We use measured gain values of 130 Jy K−1 for each SMA dish, 29.5 Jy K−1 for the JCMT, and 62.2 Jy K−1 for the CSO. The SEFD for the phased sum is then computed as SEFDphased = (η∑i(1/SEFDi))−1, where η is the estimated phasing efficiency.

3.3. Flux Density Measurements

In the gaps between VLBI scans, the SMA and CARMA also obtained flux density measurements of target sources. SMA flux densities are available for a subset of sources on days 88, 91, and 92. Titan and MWC 349a were the primary calibrators on days 88 and 92, and constant flux density was assumed for 3C 273 and 3C 274 for primary flux density calibration on day 91 (see Gurwell et al. 2007 for more details). CARMA flux densities are available for most sources on days 90 and 91.17 Uranus was the primary flux calibrator at CARMA. In 2011 March/April Uranus was a 3.34 × 3.27 arcsec disk, assumed to have a uniform brightness temperature of 102 K. Antenna amplitude gains derived from a self-calibration solution to the Uranus source model were applied to other sources in order to estimate their fluxes. Uranus is much smaller than the primary beamwidths of the CARMA antennas at 229 GHz, which are 30'' and 50'' for the 10 m and 6 m telescopes, respectively. The flux densities derived at CARMA were somewhat higher than those derived at the SMA, by a median value of 8%. This may be because Uranus was observed at the end of the VLBI schedule, after sunrise, when the antenna focus and pointing degrade slightly, or may be due to the uncertainties in the absolute flux scales.

Most of the EHT target sources are pointlike when observed at the resolution of the SMA or CARMA. Each scan with the EHT array includes two high S/N intra-site baselines (JP or OP at Mauna Kea and CD or FD at CARMA). Correlation coefficients measured on the CARMA–CARMA VLBI baseline appear to be a few percent higher than the corresponding correlation coefficient obtained by the CARMA correlator, possibly indicating that the VLBI processing, done with an accumulation period of 1 s, is somewhat more immune to atmospheric coherence losses than the CARMA correlation, which uses an averaging time of 10 s. This is especially true on day 92, when the unstable atmosphere caused the CARMA correlation amplitudes to have a large scatter relative to the VLBI-derived quantities and the CARMA phased array to have correlation coefficients that are biased very low with respect to the VLBI processing.

We have assumed the "zero-spacing" flux densities measured on the intra-site baselines equal to the average of the CARMA interferometer measurements on days 90 and 91.

3.4. Other Known Issues

Two additional instrumental effects are noted with the phased array at the SMA. The a priori amplitudes are corrected for these effects before further processing.

The high-band amplitudes measured on baselines including station P are systemically lower than the low-band amplitudes. The magnitude of this effect is comparable on all baselines to station P, and it is not seen on any other baseline. The source of the high-band loss has not been identified, but could be caused by a gain slope across the band. We have corrected empirically for the loss by multiplying the a priori high-band amplitudes on baselines including station P by the ratio of the low-band and high-band flux densities on the JP baseline (day 88) or OP baseline (days 90–94). Detections on these intra-site baselines have very high S/N, and therefore we do not expect this correction to introduce additional errors into the high-band amplitudes. In the rare instance that neither the JP nor OP baseline is available (for instance, if the other antenna on Mauna Kea missed a scan), the SP baseline is used instead. The average amount of this correction is about 34%.

Even after correcting the high-band amplitudes, the amplitudes on the XP baseline in both bands are lower than on the XJ or XO baseline, where X represents any other station. The a priori amplitudes on the XP and XJ/XO baselines are tightly correlated, but the XP amplitudes must be increased by an average of 23% for the amplitudes to match. This effect appears to be related to station P rather than either station J or O, as the amplitudes obtained on baselines to station P are lower than the corresponding amplitudes to both station J (on day 88) and station O (on days 90–94). The source of this loss factor is not well understood, but possible reasons may include inaccuracies in calculating the antenna gains and phasing efficiency. We have removed its effect by multiplying all XP amplitudes by 1.23.

3.5. Gain Correction

Calibration is completed by using amplitude self-calibration. For each scan and band, gains are calculated for each station to produce maximal consistency of the data with each other and with the "zero-spacing" flux densities measured with the SMA and CARMA. The method is similar to that described in Fish et al. (2011), except that all baselines are used and weighted by the data S/N in computing the gain correction coefficients. After gain correction, the calibrated intra-site VLBI amplitudes (e.g., CD) are equal to the flux density measured by CARMA, and amplitudes of substantively identical VLBI quantities (e.g., SC and SD, low and high bands) are made as equal as possible.

4. RESULTS

4.1. Source Structure Modeling at 1.3 mm

The calibrated amplitudes and closure phases (Tables 2 and 3) are shown in Figures 2 and 3, respectively. Trivial triangles, which involve an intra-site baseline (JP or OP at Mauna Kea and CD or FD at CARMA), have essentially zero closure phase, indicating a point-like structure at the resolution provided by the intra-site baselines (a few arcseconds).

Figure 2.

Figure 2. Measured correlated flux density and closure phase for days 88–92. Upper panel (left): correlated flux density as a function of uv distance. Since the source structure is not circularly symmetric, the correlated flux density will change for a given uv distance as the Earth rotates. Upper panel (right): correlated flux density as a function of time with comparison of the two models shown in Table 4. The correlated flux densities are color coded by baseline. Lower panels: closure phase as a function of time for the trivial triangles (left), which include an intra-site baseline and non-trivial triangles (right). Detections are color coded by observing epoch, as indicated in the legend in the lower right panel. The predicted closure phases of the two models (Table 4) are also shown.

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Figure 3.

Figure 3. Same as Figure 2, but for day 94. Note that the closure phase data and models for the SMT–CARMA–Hawaii triangle on days 88–92 are overplotted for comparison (lower right, open symbols).

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Table 2. Gain-corrected Visibility Amplitudes of 3C 279

Day hh mm Baseline u v Flux Density σ Band
(Mλ) (Mλ) (Jy) (Jy)
88 07 26 CD −0.006 −0.073 13.83 0.18 High
  07 26 SC −526.942 283.963 6.14 0.12 High
  07 26 SD −526.948 283.889 6.14 0.11 High
  08 34 CD 0.011 −0.074 13.83 0.20 High
  08 34 CJ −2794.721 −1298.854 1.17 0.15 High
  08 34 CP −2794.731 −1298.751 1.12 0.14 High
  08 34 DJ −2794.732 −1298.780 1.01 0.14 High
  08 34 DP −2794.742 −1298.678 1.06 0.12 High
  08 34 JP −0.010 0.103 13.83 0.06 High
  08 34 SC −598.012 300.969 5.20 0.14 High

Only a portion of this table is shown here to demonstrate its form and content. A machine-readable version of the full table is available.

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Table 3. Closure Phases of 3C 279

Day hh mm Triangle Closure Phase σ Band
(deg) (deg)
88 08 34 CDP −11.9 5.8 High
  09 32 CDP −1.8 4.1 High
  08 34 CDJ −0.3 5.6 High
  09 32 CDJ −2.5 6.0 High
  10 01 CDJ 1.2 4.0 High
  08 34 CJP −3.2 7.2 High
  09 32 CJP 2.7 4.7 High
  08 34 DJP 3.7 4.5 High
  09 32 DJP 1.1 4.1 High
  10 01 DJP 4.9 3.5 High

Only a portion of this table is shown here to demonstrate its form and content. A machine-readable version of the full table is available.

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The source structure at 1.3 mm was quantitatively parameterized by considering a class of simple circular Gaussian models that fit the calibrated amplitudes and closure phase jointly following Lu et al. (2012). Uncertainties are reported based on the size of the region around the best-fit point in parameter space corresponding to 68.3% probability and the true uncertainties may be somewhat larger. Model fitting was performed for the data on days 88–92 and day 94 separately because the closure phase on the non-trivial triangles (SMT–CARMA–Hawaii) on day 94 is significantly different than on the other four days (Figures 2 and 3, lower right). Closure phases on other triangles (e.g., CARMA–Hawaii–Hawaii), and for all the other sources on all triangles do not show any sign of change in a similar manner and we do not believe that this change is due to calibration uncertainties (Section 3.1).

We started the model fitting with a two-component model since a single-component model is completely ruled out by the measured nonzero closure phase on the non-trivial triangles. A two-component model (model Ma) yielded a good fit to the amplitudes and nonzero closure phases, representing the most basic structure of the emission. The structure is characterized by a compact, but relatively weak component (A0), and a stronger component (A1) ∼130–140 μas away at a P.A. of about −50° (Table 4). The measured closure phases remove the 180° of degeneracy in the jet P.A. The two models of Ma88–92 and Ma94 are very similar to each other, and both indicate a jet direction (regardless of core identification) very different from the typical centimeter jet orientation (i.e., extending to the southwest).

Table 4. Model-fit Parameters for 1.3 mm VLBI Observations of 3C 279

Model $\chi ^2_{\nu }$ ID Flux Density Radius P.A. Size (FWHM) Tb
(Jy) (μas) (deg) (μas) (K)
Two-component model (model A)
Ma88–92 2.0 0 3.8 ± 0.3 0 0 42 ± 3 7.7 × 1010
    1 10.0 ± 0.4 133 ± 6 −54 ± 5 73 ± 3 6.7 × 1010
Ma94 1.8 0 4.0 ± 0.4 0 0 42 ± 2 8.1 × 1010
    1 9.8 ± 0.3 145 ± 7 −52 ± 4 64 ± 3 8.5 × 1010
Three-component model (model B)
Mb88–92 1.4 0 1.2 ± 0.5 0 0 13 ± 9 2.5 × 1011
    1 1.0 ± 0.4 110 ± 20 −35 ± 3 17 ± 11 1.2 × 1011
    2 11.6 ± 1.0 79 ± 29 −120a 168 ± 5 1.5 × 1010
Mb94 1.0 0 1.4 ± 0.4 0 0 11 ± 11 4.1 × 1011
    1 1.2 ± 0.4 91 ± 24 −37 ± 6 13 ± 11 2.6 × 1011
    2 11.2 ± 0.7 94 ± 34 −120a 184 ± 9 1.2 × 1010

Note. aFixed during model fitting.

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Although the two-component models adequately fit the data, it is interesting to know to what extent a slightly more complicated, three-component model can be constrained. This is encouraged by a few indications that the source structure may be more complicated than assumed, for instance, the two-component model seems to slightly overpredict the flux density on SMT–Hawaii baselines around 23h00 (Figure 2, upper right panel) and underestimates the non-trivial closure phase at the end of observations on day 94 (Figure 3, lower right). For the three-component model (Table 4), a few parameters are not well constrained, e.g., the position of the component Mb(2), for both data sets. We therefore introduced an a priori constraint for the P.A. of this component (−120°, relative to Mb(0)) according to models of the 7 mm VLBI images (Section 4.2). We also noted that there are regions in the parameter space that provide alternative three-component models. These three-component models, however, are indistinguishable from the pure perspective of χ2, indicating that they are only at a marginal level of detail that the current data can support.

4.2. Source Structure at 7 mm

At 7 mm, the Boston University group monitored 3C 279 with the VLBA roughly monthly. These data have been reduced in the same manner as described in Jorstad et al. (2005) and will be presented in S. G. Jorstad et al. (2013, in preparation). We turned to these data to check the consistency of the modeled structure at 1.3 mm after initial model fitting. The images at epochs that bracket the EHT observations begin to show some asymmetry in the core region, evident by the small, but nonzero closure phases on the triangles involving the longest VLBA baselines (∼0.1 mas resolution). The 2011 April 22 observations at 7 mm are at the epoch closest to the 1.3 mm observations (separated by 22 days). Figure 4 (left) shows the 7 mm VLBA image at this epoch, which reveals a triple structure at the central region. The properties of the two compact components (relative position and sizes) at 7 mm in the central region show remarkable similarity to those of component A0 and A1 (Figure 4, right) with flux densities of 8.8 and 6.1 Jy. For a three-component model at 1.3 mm, it is reasonable to assume that B2 corresponds to the extended component at 7 mm and have similar position given their similar size. Once the a priori P.A. constraint (similar P.A. as at 7 mm) is introduced for component B2, the separation between B2 and B0 shows good consistency with the 7 mm results.

Figure 4.

Figure 4. Left: total intensity image of 3C 279 at 7 mm obtained on 2011 April 22 with model-fit components superimposed (S. G. Jorstad et al. 2013, in preparation). The peak flux density is 15.6 Jy beam−1 and contours are drawn at −0.25%, 0.25%, 0.5%, 1%, 2%, 4%, 8%, 26%, 32%, and 64% of the peak. The beam size is approximately 0.37 × 0.13 mas at a position angle of −2°. Right: model image of 3C 279 at 1.3 mm based on data from days 88–92 (model Ma88–92). The image is convolved with a circular beam with an FWHM of 20 μas. Contours are drawn beginning at 1.6% of the peak brightness of 0.7 Jy beam−1 and increase by a factor of two.

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5. DISCUSSION

The present 1.3 mm VLBI observations reveal a jet structure of 3C 279 (Figure 5) very different from the typical jet direction (i.e., toward southwest) at centimeter wavelengths (e.g., Jorstad et al. 2005). The component A1 is likely to be the core, a compact feature located at the upstream end of jets as seen in VLBI images. The nonsimultaneous two-frequency spectral indices α (S∝να) between 43 and 230 GHz are 0.3 and −0.5 for A1 and A0, suggesting A1 is the core with a flat spectrum, while A0 is optically thin. Determination of the spectral index using data at two frequencies is not a robust estimate hence future high-resolution multi-frequency observations are needed to measure the spectral properties and further confirm this scenario. This identification gives an inner jet P.A. (i.e., the P.A. of A0 with respect to the core A1) of ≃ 127° ± 3°.

Figure 5.

Figure 5. Inner jet structure of 3C 279 at 1.3 mm based on data from days 88–92 (model Ma88–92). The image is convolved with a circular beam with an FWHM of 20 μas and the vertical color bar on the right has units Jy beam−1.

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The repeat of observations on successive days in the same GST range permits us to investigate the possible daily variations of flux density and structure of 3C 279. For other blazars, like NRAO 530, the inner jet components were found to be more variable than those further out on daily timescales (Lu et al. 2011). The change of closure phases on day 94 provides an opportunity to study the interday variability of 3C 279 on sub-parsec scales, which can be caused, e.g., by a component brightening. From Table 4, it seems that the closure phase change can be explained via a small change of source structure and variations in how the total flux is divided up, but it cannot be unambiguously attributed to a single model parameter. Observations at 7 mm clearly show that A0 is swinging in P.A. and moving southwest relative to A1 (S. G. Jorstad et al. 2013, in preparation). In view of these fast changes, more frequent monitoring is needed in the future to follow up these variations.

Jet components in 3C 279 were known to have notably different speeds and P.A.s (e.g., Wehrle et al. 2001; Jorstad et al. 2004; Chatterjee et al. 2008). This has been interpreted as a consequence of a precessing jet by Abraham & Carrara (1998). Recently, Qian (2011, 2012) proposed a jet-nozzle precession model for 3C 279, in which the jet components move along a common (collimated) curved trajectory precessing with a period of ∼25 yr. They predicted the jet ejection angle approaching ∼ − 90° ± 10° in 2010–2012. The inner jet P.A. seen with 1.3 mm VLBI is beyond the range of the P.A. that these models predict (between ∼−155° and ∼−80°). It should be pointed out that estimating the ejection P.A. and time of component B0 is not a straightforward task due to its swing. More erratic changes in apparent speed and direction may naturally result from a small change in the viewing angle (Homan et al. 2003; Jorstad et al. 2004). The new inner jet direction seen with 1.3 mm VLBI is probably a similar event, suggesting that the jet points are very close to our line of sight. However, the origin of these changes of the jet is still an open question.

Past centimeter VLBI observations have shown that the core of 3C 279 has brightness temperature >1012 K (e.g., Piner et al. 2000; Wehrle et al. 2001 and references therein). Recently, Lee et al. (2008) suggested a systematic decrease of jet brightness temperature in compact radio sources toward the millimeter-VLBI core at 3.5 mm. In the quasar 1921−293, the low brightness temperature of the 1.3 mm core is consistent with this trend (Lu et al. 2012). For 3C 279, the measured brightness temperature toward the VLBI core at 1.3 mm is consistent with a lower value of ∼8 × 1010 K.

We expect future observations with improved uv coverage and sensitivity to provide stricter constraints on the model. Introducing a priori knowledge is able to help models converge, but solutions are non-unique. Moreover, it is not straightforward to do so for current observations due to the fast structure change on the probed spatial scales (sub-parsec for 3C 279) and the lack of observations that are close in time and with matched angular resolution. This situation, however, is expected to change soon.

With the planned improvement of millimeter VLBI capability over the next few years, the EHT will allow direct imaging of these inner regions close to the jet origin and will be able to discriminate between these models. Here, we consider two synthetic data sets using models Ma88–92 and Mb88–92 as input for future observations of 3C 279 with seven potential stations (Doeleman et al. 2009; Fish et al. 2009): Hawaii, consisting of one or more of the JCMT and SMA phased together into a single aperture; the SMT; CARMA; the Large Millimeter Telescope (LMT) on Sierra Negra, Mexico; the phased Atacama Large Millimeter/submillimeter Array (ALMA); the Institut de Radioastronomie Millimétrique (IRAM) 30 m telescope on Pico Veleta (PV), Spain; and the IRAM Plateau de Bure (PdB) Interferometer, phased together as a single aperture. Assumed telescope sensitivities are updated from Doeleman et al. (2009). For our simulations, we took phased ALMA as the site in Chile. We note that early imaging studies at 1.3 mm will likely involve the APEX 12 m dish, which would sample similar spatial frequencies to the phased ALMA.

The array used in this simulation provides very good uv coverage on 3C 279 (Figure 6), indicating sufficient imaging capabilities in the near future. We show in Figure 7 (left) the predicted visibility amplitudes and the expected closure phases on the SMT–CARMA–LMT triangle as an example (Figure 7, right) for the two models. These models predict different behavior for most of the baselines and triangles, and they can be straightforwardly discriminated. Since these models may be approximating a continuous expanding jet, future observation will enable the direct imaging of the jet structure with improved sensitivity and uv coverage in the coming years.

Figure 6.

Figure 6. uv coverage for the array used for the simulation. Tracks are labeled by baseline (H: Hawaii; S: SMT; C: CARMA; L: LMT; A: ALMA; V: Pico Veleta; B: Plateau de Bure Interferometer). The visibility at (−u, −v) is the complex conjugate of that at (u, v). uv tracks for the baselines in the 2011 observations are highlighted.

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Figure 7.

Figure 7. Left: correlated flux density as a function of uv distance for the two models of days 88–92 (Ma88–92 and Mb88–92, Table 4). Points for the model Mb88–92 are color coded and labeled by baseline (same as in Figure 6). Right: plot of the predicted closure phase for the shown time range on the SMT–CARMA–LMT triangle. Simulated data were coherently averaged into 10 s bins.

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6. CONCLUSIONS

We have presented the first high-resolution VLBI observations of 3C 279 at 230 GHz. The sub-parsec-scale emission is dominated by a compact double structure along the northwest–southeast direction. We find radio structures at 1.3 mm similar to those that were seen in the central core regions of 7 mm super-resolution images. The change of closure phases on the last day during our observations provides opportunities to study sub-parsec-scale jet structure change on daily timescales. If further confirmed by future investigations, it can help us locate and understand the physical process behind these rapid variations.

During our observations, 3C 279 showed an unusual inner jet direction, inconsistent with the prediction of jet precession models by Qian (2011, 2012). The new jet direction, along with the swing (i.e., motion of component A0 along a non-radial trajectory) of the inner jet seen with 43 GHz data (S. G. Jorstad et al. 2013, in preparation), reflects the non-ballistic nature of the jet and raise the possibility that this phenomenon is associated with a process erratic in nature, similar to the jet of OJ 287 (Agudo et al. 2012). Our results indicate that the core brightness temperature at λ 1.3 mm is significantly lower than at longer wavelengths (e.g., Piner et al. 2000). With better uv coverage and sensitivity in the very near future, it is obvious that VLBI at 1.3 mm will be able to directly image the sub-parsec-scale emission.

High-frequency VLBI work at MIT Haystack Observatory is supported by grants from the National Science Foundation (NSF). The Submillimeter Array is a joint project between the Smithsonian Astrophysical Observatory and the Academia Sinica Institute of Astronomy and Astrophysics and is funded by the Smithsonian Institution and the Academia Sinica. High-frequency VLBI work at the Arizona Radio Observatory is partially supported through the NSF ATI (AST-0905844) and URO (AST-1140030) programs. This study makes use of 43 GHz VLBA data from the Boston University gamma-ray blazar monitoring program (http://www.bu.edu/blazars/VLBAproject.html), funded by NASA through the Fermi Guest Investigator Program. The National Radio Astronomy Observatory is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc. L.L. acknowledges the financial support of CONACyT, Mexico (project 104497) DGAPA, UNAM (project IN118110), and the John Simon Guggenheim Memorial Foundation (Fellowship 2010–2011).

Facilities: ARO SMT - , CARMA - Combined Array for Research in Millimeter-Wave Astronomy, CSO - Caltech Submillimeter Observatory, JCMT - James Clerk Maxwell Telescope, SMA - SubMillimeter Array, VLBA - Very Long Baseline Array

Footnotes

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10.1088/0004-637X/772/1/13