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HIERARCHICAL FRAGMENTATION OF THE ORION MOLECULAR FILAMENTS

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Published 2013 January 8 © 2013. The American Astronomical Society. All rights reserved.
, , Citation Satoko Takahashi et al 2013 ApJ 763 57 DOI 10.1088/0004-637X/763/1/57

0004-637X/763/1/57

ABSTRACT

We present a high angular resolution map of the 850 μm continuum emission of the Orion Molecular Cloud-3 (OMC 3) obtained with the Submillimeter Array (SMA); the map is a mosaic of 85 pointings covering an approximate area of 6farcm5 × 2farcm0 (0.88 × 0.27 pc). We detect 12 spatially resolved continuum sources, each with an H2 mass between 0.3–5.7 M and a projected source size between 1400–8200 AU. All the detected sources are on the filamentary main ridge ($n_{{\rm H_2}}\ge 10^6$ cm−3), and analysis based on the Jeans theorem suggests that they are most likely gravitationally unstable. Comparison of multi-wavelength data sets indicates that of the continuum sources, 6/12 (50%) are associated with molecular outflows, 8/12 (67%) are associated with infrared sources, and 3/12 (25%) are associated with ionized jets. The evolutionary status of these sources ranges from prestellar cores to protostar phase, confirming that OMC-3 is an active region with ongoing embedded star formation. We detect quasi-periodical separations between the OMC-3 sources of ≈17''/0.035 pc. This spatial distribution is part of a large hierarchical structure that also includes fragmentation scales of giant molecular cloud (≈35 pc), large-scale clumps (≈1.3 pc), and small-scale clumps (≈0.3 pc), suggesting that hierarchical fragmentation operates within the Orion A molecular cloud. The fragmentation spacings are roughly consistent with the thermal fragmentation length in large-scale clumps, while for small-scale cores it is smaller than the local fragmentation length. These smaller spacings observed with the SMA can be explained by either a helical magnetic field, cloud rotation, or/and global filament collapse. Finally, possible evidence for sequential fragmentation is suggested in the northern part of the OMC-3 filament.

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1. INTRODUCTION

The key steps of the star formation process such as large-scale gas infall, disk accretion, and mass ejection have been studied mainly in nearby isolated star-forming regions by various methods such as the analysis of spectral energy distributions (SEDs), gas kinematics, density structures of parental cores, and molecular outflows/jets (e.g., Evans 1999; Bachiller & Tafalla 1999; Myers et al. 2000, and references therein). However, infrared studies suggest that the majority of stars (80%–90%) form as members of embedded clusters (N* ⩾ 35) within nearby giant molecular clouds (GMCs; located at d ⩽ 2 kpc), rather than in isolated star formation environments (e.g., Lada & Lada 2003; Porras et al. 2003). Hence, studies of the formation and evolutionary processes of embedded clusters, as well as associated GMCs, are crucial to understand the general features of star formation. Moreover, these embedded clusters, identified as a group of infrared excess sources, are often associated with dense filamentary structures (i.e., $N_{{\rm H_2}}>10^{22}$ cm−2), and most likely represent the youngest association of the embedded stellar clusters (Myers 2009). In order to observationally investigate the initial conditions of embedded clusters, it is essential to spatially resolve the individual star-forming cores within molecular filaments, obtain kinematic information, and investigate the fragmentation properties and physical conditions of each of the cluster members.

The Orion A molecular cloud (d = 414 pc; Sandstrom et al. 2007; Menten et al. 2007; Hirota et al. 2007; Kim et al. 2008), which contains a large amount of gas (∼5 × 104M), is the nearest GMC, and one of the best-studied embedded cluster-forming regions at all observable wavelengths (e.g., Bally et al. 1987; Allen et al. 2007; Tatematsu et al. 1993; Johnstone & Bally 1999; Tsujimoto et al. 2005; O'Dell et al. 2008). A large number of molecular line observations have been performed: in 12CO by Maddalena et al. (1986), Castets et al. (1990), in 13CO by Bally et al. (1987); Buckle et al. (2012), in C18O by Dutrey et al. (1991, 1993); Buckle et al. (2012), in CS by Tatematsu et al. (1993), in NH3 by Castets et al. (1990), Harju et al. (1991), Cesaroni & Wilson (1994), and Wiseman & Ho (1998), and in H13CO+ by Aso et al. (2000), and Ikeda et al. (2007). These observations revealed the distribution of the dense gas within the Orion A GMC down to 0.1 pc scale. In addition to molecular line observations, (sub)millimeter continuum observations performed by single-dish telescopes have revealed a remarkable filamentary structure over the entire Orion A molecular cloud with a length of ∼7 pc. A large number of dust continuum sources, candidate Class 0/I sources, were detected, and properties of the dust emission along the Orion Molecular Cloud (OMC) filaments were investigated (Chini et al. 1997; Lis et al. 1998; Johnstone & Bally 1999; Nielbock et al. 2003; Nutter & Ward-Thompson 2007). Furthermore, near- to mid-infrared surveys by Spitzer MIPS/IRAC showed that a number of infrared excess sources (young stellar object candidates) are actually located on the OMC filaments with a wide stellar mass range, from brown dwarfs to massive stars (Nielbock et al. 2003; Allen et al. 2007; Peterson et al. 2008; Peterson & Megeath 2008; Sadavoy et al. 2010; Megeath et al. 2012). Moreover, recent high angular resolution radio observations, targeted at relatively bright (sub)millimeter sources (i.e., intermediate-mass protostellar candidates), directly resolved detailed spatial structure of protostellar cores and associated molecular outflows in the OMC filaments. The detected sources showed a variety of properties such as different structures, kinematics, and evolutionary phases (e.g., Williams et al. 2003; Zapata et al. 2004, 2005, 2006, 2007; Matthews et al. 2005; Takahashi et al. 2006, 2008a, 2008b, 2009, 2012; Shimajiri et al. 2008, 2009; Takahashi & Ho 2012). However, so far only a very limited number of millimeter and submillimeter observational studies have been made which achieve an angular resolution comparable to, or better than, existing IR data (i.e., ⩽a few arcsec resolution, which can spatially resolve ⩽1000 AU scale structures at the distance of Orion). Hence, the physical relation between IR sources and the small-scale gas structure (D  ⩽  a few 1000 AU and high-density gas: nH2 ⩾ 105 cm−3), which can be spatially resolved with the millimeter/submillimeter interferometric observations, remains unclear. It is also important to spatially resolve individual star-formation sites, or cores, in order to study the core mass function (CMF). Analysis of the CMF could lead to the understanding of the similarities and differences in the IMF of entire stellar clusters which may have been imposed at the initial evolutionary stage.

In order to observationally study the nature of embedded sources and their associated filaments, as a first step, we report 850 μm continuum observations of the molecular filaments toward the OMC-3 region located in the northern part of Orion A GMC with the largest mosaic observations ever published using the Submillimeter Array (SMA6) (6farcm5 × 2farcm0; 0.88 × 0.27 pc). The SMA equipped with 345 GHz receivers is one of the most powerful facilities to spatially resolve prestellar/protostellar cores and circumstellar disks through the thermal dust continuum emission. The goals of the paper are to (1) spatially resolve the individual star-forming cores with the angular resolution of 4farcs5 (≈1900 AU) and identify the prestellar and protostellar candidates with a mass sensitivity of 0.15 M, (2) compare the physical properties of (sub)millimeter sources with existing multi-wavelength data and study the evolutionary status of each identified source, and (3) quantify the physical properties of the filaments such as fragmentation scale lengths by comparing our SMA images with previous single-dish images.

We explain in Section 2 the strategies of the observations, data reduction, and imaging. We present in Section 3 the synthesized images and the derived physical parameters of the filaments. In Section 4, we discuss the physical properties and the evolutionary status of identified cores and the derived fragmentation properties of the OMC filaments. Finally, we summarize the paper and discuss future prospects in Section 5.

This paper serves as a starting point for a series of high angular resolution OMC studies focused on the filamentary structures and their embedded sources. Our studies, which will cover the entire system of OMC filaments in the continuum, as well as molecular line emissions in the (sub)millimeter (described in Section 2.1), will include a statistically significant number of embedded sources. Once the Atacama Large Millimeter/submillimeter Array (ALMA) and the Jansky Very Large Array (JVLA) are fully operational, the sensitivity and resolution of their data will be greatly improved so that the wide-field mosaic observations will be a common approach, especially for GMCs and nearby extragalactic objects. Hence our studies would be very important in developing a strategy to investigate structures of molecular clouds and associated proto-clusters on the parsec scale down to the AU scale.

2. OBSERVATIONS AND DATA REDUCTION

2.1. SMA Observations

The observations were carried out at 351 GHz using the eight 6 m antennas of the SMA (Ho et al. 2004) in the compact configuration on 2008 January 2 and October 21 and in the subcompact configuration on 2008 August 29. The primary beam at this frequency is 36'', and the 85 pointing centers were arranged with sampling in a Nyquist grid spaced by 18'' with a position angle of 45° (Figure 1). We observed each field for one minute during each of 4–18 cycles through all the fields, giving a total on-source integration time of 4–18 minutes. Both the lower sideband (LSB; νc = 346 GHz) and upper sideband (USB; νc = 356 GHz) data were obtained simultaneously with the 90° phase switching technique by the digital spectral correlator, which had a bandwidth of 2 GHz for each sideband.

Figure 1.

Figure 1. Left panel: an 850 μm dust continuum image taken with the JCMT/SCUBA, referred from Johnstone & Bally (1999). Right panel: SMA 85 points mosaic. The background image is the same as in the left panel. Open circles show the SMA primary beam at 351 GHz. Crosses in the image show the positions of previously detected 1.3 mm continuum sources with a single-dish telescope (Chini et al. 1997).

Standard image High-resolution image

The SMA correlator covers 2 GHz bandwidth in each of the two sidebands separated by 10 GHz. Each band is divided into 24 chunks of 104 MHz width, which were covered by fine spectral resolution (256 channels correspond to a velocity resolution of 0.36 km s−1 in our observing setting). In addition to continuum observations, molecular lines such as HCO+(4–3), H13CO+(4–3), CO(3–2), SiO(8–7), and several CH3OH and SO transitions were simultaneously obtained with the 2 GHz bandwidth in each sideband. These molecular line data will be presented in a future article.

The continuum data from both sidebands were combined to obtain a higher signal-to-noise ratio. The combined configurations of the arrays provided projected baselines ranging from 9.7 to 88 kλ. Our observations were insensitive to structures larger than 17'' (7000 AU) at the 10% level (Wilner & Welch 1994). Passband calibration was achieved by observing the quasars, 3C 273 and 3C 279. Amplitudes and phases were calibrated by observations of 0530+135 and 0423−013, whose flux densities were determined relative to Titan and Neptune. The overall flux uncertainty was estimated to be ∼20%. The pointing accuracy of the SMA observations was ∼3''. The raw data were calibrated using MIR, originally developed for the Owens Valley Radio Observatory (Scoville et al. 1993) and adopted for the SMA. The SMA observational log for each date and the observational parameters are summarized in Tables 1 and 2.

Table 1. SMA Observational Logs

Date Configuration Number of Antennas νc(USB)/νc(LSB) τ225 Tsys[DSB] SJ0423-013351 GHz SJ0530 + 135351 GHz
(GHz) (K) (Jy) (Jy)
2008 Jun 2 Compact 7 356.47/346.47 0.04–0.1 120–460 1.61 1.58
2008 Aug 29 Subcompact 8 356.55/346.55 0.04 100–200 1.05 1.43
2008 Oct 21 Compact 8 356.47/346.47 0.08–0.1 240–450 1.06 1.82

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Table 2. SMA Continuum Observational Parameters

Parameter Value
Reference position (J2000.0) α = 5h35m23fs48, δ = −5°01'32farcs20
Configurations 2 × compact and 1 × subcompact
Primary beam HPBW (arcsec) 36
Grid spacing (arcsec) 18 (P.A. 45°)
Synthesized beam HPBW (arcsec) 4.5 × 4.5
Equivalent frequency (GHz) 351
Total continuum bandwidth USB+LSB (GHz) 3.2
Projected base line range (kλ) 9.7–88
Maximum detectable structure (arcsec)a 17
Gain calibrators 0423−013 and 0530+135
Bandpass calibrator 3C 273 and 3C 279
Flux calibrators Titan and Neptune
rms noise level (mJy beam−1) ∼20

Note. aOur observations were insensitive to emission more extended than this size scale structure at the 10% level (Wilner & Welch 1994).

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2.2. Mosaic Imaging Procedures

In order to produce the mosaic continuum image, certain frequencies (which include possible molecular lines described above) are subtracted from the visibility data. The effective bandwidth for the continuum emission is approximately 3.2 GHz. CLEANed images in each pointing were made using DIFMAP with a Gaussian taper (HWHM = 25 kλ). Due to residual phase errors, it was difficult to remove the increased noise, which is greater than 5σ level, around the four brightest compact sources, SMM 2, SMM 3, SMM 8, and SMM 11. These enhanced noise structures are due to the limited dynamic range which can be achieved against the strong peak signal levels of those bright sources. In order to improve the dynamic range of the images, we reduced the phase noise errors, by applying a self-calibration procedure toward the several fields which include either SMM 2, SMM 3, SMM 8, or SMM 11 within their primary beams. Within the integration time of 4–18 minutes, the theoretical noise levels were estimated to be 13–25 mJy beam−1. After self-calibration, the theoretical noise levels were achieved around SMM 2, SMM 3, and SMM 11. Images around SMM 8 (i.e., nine mosaic points centered on SMM 8) achieved 1.1–2.0 times theoretical noise levels. This corresponds to a dynamic range of ∼200 around SMM 8.

After the CLEANing and self-calibration processes, the 85 images were imported into Miriad (Wright & Sault 1993) for primary beam corrections, and then combined into a single image using the miriad task "linmos." Since each image had slightly different angular resolution, all the images were convolved to the final beam size of 4farcs5 FWHM (corresponding to 1900 AU). The achieved rms noise level for the entire mosaic image was estimated to be 20 mJy on average.

3. RESULTS

3.1. Identification of SMA 850 μm Compact Continuum Sources

Figure 2 shows the SMA 850 μm continuum in the left panel, and in the right panel we compare the SMA image with the previously published JCMT/SCUBE 850 μm image by Johnstone & Bally (1999). We clearly detected 12 compact SMA continuum sources embedded within the filament with a signal-to-noise ratio greater than 5 (flux more than 100 mJy beam−1; denoted by white contours in the right panel of Figure 2). All the detected continuum sources are found along the main ridge of the OMC-3 filament, with no detections off the main ridge. This indicates that the relatively massive sources in this region are likely formed only within the densest part of the filaments. In order to measure the position, peak flux, total flux density, and deconvolved size of the continuum source, two-dimensional Gaussian fitting in AIPS (task "JMFIT") was used. The measured results and their uncertainties are listed in Table 3. The spatial structures of the individual sources are presented in Figure 3.

Figure 2.

Figure 2. Left panel: an 850 μm continuum mosaic image taken with the SMA. White contours show the 5σ signal levels (i.e., 100 mJy beam−1). Orange open circles and white open circles present the positions of protostars and T Tauri stars, respectively (Peterson & Megeath 2008). Right panel: the SMA 850 μm continuum mosaic image (color) overlaid with the 850 μm continuum image taken with JCMT/SCUBA (contours referred from Johnstone & Bally 1999). The contour levels start at 0.3 Jy beam−1 with an interval of 0.6 Jy beam−1. The orange and white circles are the same as in the left panel. Black filled circles in the bottom right corner show the JCMT and SMA beam sizes of 14'' and 4farcs5, respectively. Thick contour (contour level of 1.5 Jy beam−1) presents a relatively well-defined edge of the small-scale clump discussed in Section 4.2.3.

Standard image High-resolution image
Figure 3.

Figure 3. Zoomed-in images of SMA detected continuum sources. The contour levels of these images (except the SMM 7–9 panel) start at 5σ level (i.e., 100 mJy beam−1) with intervals of 5σ. Contour levels of SMM 7–9 show 5σ, 10σ, 15σ, 30σ, 45σ, 60σ, ... 210σ. In these data, SMM 7 is not resolved, Takahashi et al. (2009) show the source resolved and accurately positioned. Positions of 8 μm Spitzer sources identified by Peterson & Megeath (2008) are denoted by orange crosses. The bars in the bottom right corner in each panel show the scale of 2100 AU, which is the SMA beam size in FWHM. Color wedge denoted at the SMM 4 panel shows the signal levels of all the individual panels. The filled circles in the bottom right corner of the central panel present the SMA and JCMT beam sizes of 4farcs5 and 14'', respectively.

Standard image High-resolution image

Table 3. SMA 850 μm Continuum Sources

ID R.A.a Decl.a Total Flux Peak Flux Deconvolved Size P.A. C(SMA/JCMT)b Other mm/submm Source Namesc
(J2000.0) (J2000.0) (mJy) (mJy beam−1) (arcsec) (deg)
OMC3-SMM 1 5 35 16.03 −5 00 03.07 354 ± 63 148 ± 19 8.5 ± 1.0 × 2.3 ± 1.1 125 ± 5 0.23 CSO 3
OMC3-SMM 2 5 35 18.03 −5 00 17.77 1070 ± 42 811 ± 20 2.8 ± 0.2 × 2.2 ± 0.2 107 ± 13 0.33 MMS 1, CSO 5
OMC3-SMM 3 5 35 18.30 −5 00 33.01 1001 ± 43 736 ± 20 3.9 ± 0.2 × 1.0 ± 0.4 81 ± 3 0.36 MMS 2, CSO 6
OMC3-SMM 4 5 35 18.98 −5 00 51.63 1009 ± 52 220 ± 21 9.5 ± 1.9 × 7.6 ± 1.7 −36 ± 38 0.31 MMS 3, CSO 7
OMC3-SMM 5 5 35 20.88 −5 00 56.25 2572 ± 65 393 ± 30 19 ± 1.6 × 5.2 ± 0.6 −55 ± 3 0.49 MMS 4, CSO 8
OMC3-SMM 6 5 35 22.47 −5 01 14.43 1261 ± 47 810 ± 20 3.9 ± 0.2 × 2.8 ± 0.2 100 ± 6 0.37 MMS 5, CSO 9
OMC3-SMM 7 5 35 23.50 −5 01 29.58 1600d 320d 5.5 × 3.8d −15 ...e MMS 6-NE
OMC3-SMM 8 5 35 23.42 −5 01 30.35 6152 ± 44 4400 ± 20 3.9 ± 0.03 × 1.4 ± 0.1 73 ± 1 0.86 MMS 6, CSO 10
OMC3-SMM 9 5 35 23.49 −5 01 39.21 874 ± 60 3900 ± 19 5.2 ± 0.3 × 4.8 ± 0.3 150 ± 28 ...e  
OMC3-SMM 10 5 35 28.20 −5 03 40.65 220 ± 53 118 ± 20 5.1 ± 1.1 × 3.2 ± 1.2 140 ± 23 0.28 MMS 7-NE
OMC3-SMM 11 5 35 26.56 −5 03 55.04 1162 ± 41 921 ± 20 3.2 ± 0.2 × 1.0 ± 0.4 52 ± 4 0.56 MMS 7, CSO 12
OMC3-SMM 12 5 35 25.44 −5 03 53.22 290 ± 64 117 ± 19 7.3 ± 1.2 × 3.8 ± 1.2 80 ± 12 0.32  

Notes. aThe source positions were determined from the non-self-calibration images with emission peak positions. The positional difference between the non-self-calibrated images and self-calibrated images is ≈0farcs1. bThe flux concentrated ratio is calculated from the total flux measured from the SMA image divided by the JCMT flux within the 14'' beam. The SMA image is convolved with the JCMT beam size of 14''. The uncertainties of the derived ratios are ±0.04 (in absolute value). cMMS sources by Chini et al. (1997); CSO sources by Lis et al. (1998); MMS 7-NE by Takahashi et al. (2006); MMS 6-NE by Takahashi et al. (2009). dFlux information and deconvolution size of SMM 6-NE are referred from Takahashi et al. (2009). eSingle-dish data taken with the JCMT were not able to be fitted with the Gaussian components due to the separation between sources compared with the large spatial resolution.

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Eight out of the twelve SMA continuum peaks (SMM 1–6, SMM 7, and SMM 10) coincide with (sub)millimeter continuum sources previously detected with the JCMT/SCUBA, CSO/SHARC, and IRAM/MPIfR, to within the single-dish positional accuracies of ∼  ± 5'' (Chini et al. 1997; Lis et al. 1998; Johnstone & Bally 1999). SMM 10 was detected in the previous 3.3 mm interferometric observations at the 3σ level as MMS 7-NE (Figure 2(a) of Takahashi et al. 2006). Figure 1 of Takahashi et al. (2009) shows an image where SMM 7 (MMS 6-NE) is spatially resolved using SMA compact configuration data with robust weighting. The sources SMM 9 and SMM 12 were detected for the first time with our SMA 850 μm continuum observations. For the other eight sources, this is the first time that they have been spatially resolved and positioned accurately. On the assumption that the 850 μm emission comes from optically thin dust emission and that the temperature distribution of the dust continuum emission is uniform, we can estimate the source mass by

Equation (1)

where κλ is the mass-absorption coefficient of dust grains, Bλ(T) is the Planck function for a dust temperature Tdust, Fλ is the total flux density of the continuum emission, and d is the distance to the source (414 pc; Menten et al. 2007). Adopting a dust opacity of κλ = 0.037 cm2 g−1 (λ/400 μm) −β (Keene et al. 1982), β = 1.6 (Johnstone & Bally 1999), a dust temperature of Tdust = 20 K (Cesaroni & Wilson 1994; Chini et al. 1997; Tatematsu et al. 2008), a gas-to-dust ratio = 100, and measured total flux densities (Table 3), the masses of the continuum sources are estimated to range from 0.3 to 5.7 M. High mean molecular hydrogen volume densities were also derived toward these sources with a range between $3.2 \times 10^6\,{\rm cm}^{-3}<n_{{\rm H_2}}<3.3\times 10^8$ cm−3 under the assumption of spherical geometry ($n_{{\rm H_2}}=M_{{\rm H_2}}/((4/3){\pi }{r^3}{\mu }m_{{\rm H}})$). Here, μ and mH are the hydrogen mean molecular weight (2.33) and the hydrogen mass, respectively, and r is the radius of the source, taken as the geometric mean of the major and minor axes of its deconvolved size. The derived physical parameters of these sources are summarized in Table 4.

Table 4. Physical Parameters

ID MH2a $N_{{\rm H_2}}$a $n_{{\rm H_2}}$a Source Sizeb NN Distancec
(M) (1023 cm−2) (107 cm−3) (AU) (arcsec)
SMM 1 0.5 ± 0.1 0.9 ± 0.4 0.3 ± 0.2 3520 × 950 33.3
SMM 2 1.6 ± 0.3 17.0 ± 4.4 15.0 ± 4.5 1160 × 910 15.8
SMM 3 1.5 ± 0.3 13.0 ± 3.1 9.6 ± 2.8 1620 × 410 15.8
SMM 4 1.5 ± 0.3 1.4 ± 0.7 0.4 ± 0.2 3930 × 3150 21.2
SMM 5 3.9 ± 0.8 1.4 ± 0.4 0.2 ± 0.1 7870 × 2150 28.7
SMM 6 1.9 ± 0.4 11.0 ± 2.5 7.1 ± 1.8 1620 × 1160 21.3
SMM 7 2.4 ± 0.5 7.3 ± 1.5 3.3 ± 0.7 2280 × 1570 ...
SMM 8 5.7 ± 1.1d 44.0 ± 8.9d 33 ± 6.6d 1620 × 580 8.9
SMM 9 1.3 ± 0.3 3.6 ± 0.9 1.5 ± 0.4 2150 × 1990 8.9
SMM 10 0.3 ± 0.1 1.2 ± 0.8 0.6 ± 0.5 2110 × 1330 28.4
SMM 11 1.8 ± 0.4 21.0 ± 5.3 19.0 ± 5.8 1330 × 410 16.8
SMM 12 0.4 ± 0.1 0.9 ± 0.4 0.3 ± 0.2 3020 × 1570 16.8

Notes. aMeasurement errors of deconvolved size and total flux described in Table 3 are taken into account for error estimations. bThe error for source sizes and position angles are summarized in Table 3, Columns 5–7, respectively. cThe nearest neighbor distance for each source (Section 4.2.1). SMM 7 was excluded from the nearest neighbor calculation since the separation between SMM 7 and SMM 8 is much smaller than angular resolution of this paper (4farcs5). We consider that the separation between SMM 7 and SMM 8 is related to the formation of a binary system. dβ = 0.93 derived by Takahashi et al. (2009) was adopted to estimate the parameters.

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Note that the total flux of the 850 μm continuum emission might include contamination from ionized emission, which comes from free–free continuum jets of protostars. From 3.6 cm observations (Reipurth et al. 1999), and with the assumption that the typical spectral index of free–free jets is 0.6 (Anglada et al. 1998; Reynolds 1986), we find that this contamination at 850 μm is negligible (i.e., ⩽0.4%) for all the detected OMC-3 sources. The continuum emission at 850 μm must therefore come from the thermal dust.

In order to estimate the flux concentration factors, C(SMA/JCMT), the SMA data were first convolved to the JCMT 14'' beam, and then the peak intensity within the JCMT 14'' beam (Jy beam−1) are used for deriving the ratios. The flux concentration factor for SMM 8 (or MMS 6-main; Takahashi et al. 2009, 2012) is 86%, approximately twice as high as those of the other detected continuum sources (The mean and median value of the flux ratios were estimated to be 41% and 35%, respectively.) SMM 8 shows small deconvolved sizes compared with most of the other SMA sources and has the highest flux among the 12 detected sources (Table 4). No clear difference of the flux concentration ratio was detected between the prestellar cores (i.e., core is neither associated with any outflows nor any IR sources; Table 5) and the protostellar cores (i.e., core associated with either outflows or IR sources; Table 5) except for the higher ratio value derived in SMM 8. The evolutionary stage of detected sources will be discussed in Section 4.2.

Table 5. Comparison of Multi-wavelength Data Sets Toward Detected Continuum Sources

ID CO Outflow H2 Jet NIR Nebula 3.6 cm Emission X-Ray Infrared Source Detection Evolutionary Statusa
SMM 1 ... ... ... ... ... 2.2, 3.8, 4.5, 5.8, 8, 24(9, 10) Protostellar core
SMM 2 ... ... ... ... ... ... Prestellar core
SMM 3 Yes(1, 2) Flow B(5) Yes(2) VLA 1(6, 7) Yes(8) 2.2, 3.8, 4.5, 5.8, 8.0, 24(9, 10) Protostellar core
SMM 4 ... ... ... ... Yes(8) 4.5, 5.8, 8, 24(9, 10) Protostellar core
SMM 5 ... ... ... ... ... ... Prestellar core
SMM 6 Yes(1, 2) Flow C(5) Yes(2) ... ... 3.6, 4.5, 5.8, 8, 24(9, 10) Protostellar core
SMM 7 ... ... Yes(2) VLA 3(6) ... 2.2, 3.8, 4.5, 5.8, 8.0, 24(9, 10) Protostellar core
SMM 8 Yes(3) ... ... ... ... 24(9, 10)?b Protostellar core
SMM 9 ... ... Yes(2) ... ... 2.2, 3.6, 4.5, 5.8, 8, 24(9, 10) Protostellar core
SMM 10 Yes(4) ... Yes(2) ... ... 3.6, 4.5, 5.8, 8.0, 24(9, 10) Protostellar core
SMM 11 Yes(1, 2, 4) Flow F(5) Yes(2) VLA 4(6) ... 2.2, 3.6, 4.5, 5.8, 8, 24(9, 10) Protostellar core
SMM 12 ... ... ... ... ... ... Prestellar core

Notes. aEvolutionary status of each source was referred from Megeath et al. (2012). bSpecially unresolved source at 24 μm. References. (1) Williams et al. 2003; (2) Takahashi et al. 2008a; (3) Takahashi & Ho 2012; (4) Takahashi et al. 2006; (5) Yu et al. 1997; (6) Reipurth et al. 1999; (7) Tsujimoto et al. 2004; (8) Tsuboi et al. 2001; (9) Peterson & Megeath 2008; (10) Megeath et al. 2012.

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Moreover, to determine the flux-recovering ratio for the entire filament, we proceeded in the following manner. First, we calculated the total SMA flux over the entire image (after convolving the image with the JCMT beam), FSMA (≈16 Jy/14'' beam); this corresponds to the sum of the fluxes of each of the SMA sources since we detected no extended emission from the filament itself in our SMA image. Second, we determined the JCMT contour level that corresponds to the SMA 5σ detection level (100 mJy/4farcs5 beam), i.e., 0.97 Jy/14'' beam; this was used as a lower threshold for extended emission in the JCMT image. We then summed up the flux within this contour in the JCMT image, FJCMT (≈103 Jy/14'' beam). Finally, we divided the two fluxes, FSMA/FJCMT, and found that only 16% of the total JCMT flux was recovered in our SMA data.

It is technically possible to combine the SMA 850 μm data with the JCMT/SCUBA data in order to recover the flux from short antenna spacings. However, we did not apply this method due to the following reasons: (1) JCMT/SCUBA is a bolometer and covers a much wider frequency range as compared to the SMA (ΔBJCMT  ≳  7ΔBSMA), and (2) JCMT/SCUBA frequency coverage includes several strong molecular lines such as CO, HCO+, and SO. Hence, the JCMT continuum emission map may be contaminated by emission from these molecular lines.

3.2. Physical Properties of the Continuum Sources

In order to further discuss the properties of the detected sources, it is important to know the limits of our SMA observations.

Figure 4(a) shows the mass distribution of the detected sources in OMC-3 (filled histogram). The median and mean value of the source masses were estimated to be 1.6 M and 1.9 M, respectively. Among the detected sources, SMM 8 (or MMS 6-main in Takahashi et al. 2009) is a source which has a gas mass 3.5 times greater than the median value. Note that SMM 8 has the largest mass, the largest flux concentration factor, and one of the most compact source sizes, indicating a very different nature as compared to the other sources in OMC-3. Detailed properties of this source are discussed in Takahashi et al. (2009, 2012) and Takahashi & Ho (2012).

Figure 4.

Figure 4. (a) Histogram of source mass. The SMA detection limit of 1.5 M was estimated from Equation (1) with the following assumptions: total flux of 100 mJy (5 σ), Tdust = 20 K, and β = 1.6. (b) Histogram of equivalent circular source size, = $\sqrt{\vphantom{A^A}\smash{\hbox{${D^2_{{\rm maj.}}+D^2_{{\rm min}}}$}}}$, where Dmaj. (Dmin.) is the size of the major (minor) axis of the source in AU. (c) Filled and open circles show the source sizes as a function of number density for protostellar and prestellar sources. Dotted, solid, and dashed lines show the critical Jeans length as a function of number density with the gas temperature of Tgas = 10, 20, and 30 K, respectively.

Standard image High-resolution image

Since the number of detected sources was limited, and the error bars for the distribution scale as $\sqrt{N}$ (a Poissonian distribution was adopted for the errors), it is difficult to discuss the characteristic mass from our present results. A full analysis of core census will be our future goal with a more extensive sample. However, an interesting question is whether we can extrapolate the mass distribution below the detection limit of our observations. According to our previous calculation, the JCMT "residual flux" is FJCMTFSMA = 87 Jy. This total flux corresponds to an H2 mass of 98 M, assuming β = 1.6 (Johnstone & Bally 1999). This suggests that the residual gas has the potential to form numerous cores (∼98 of 0.1 M cores) even with a 10% star formation efficiency (estimated from the nearby embedded clusters; e.g., Lada & Lada 2003).

We consider that it is possible to detect sources less than 0.1 M because recent SMA 1.3 mm continuum observations have actually detected 31 circumstellar disks with a mass range from 0.0028 to 0.0662 M toward the same Orion star-forming region (28 in the Trapezium cluster and 3 outside of the Trapezium cluster; Mann & Williams 2009a, 2009b) as shown in Figure 4(a) (open histogram). The relatively shallow and large mosaic observations we performed, as compared to the targeted observations performed by Mann & Williams (2009a, 2009b), make it difficult to detect these less massive circumstellar matter around the relatively evolved young stars (Class II sources). Moreover, note that these disks have much smaller sizes (<300 AU) than that of the sources detected in our SMA observations.

Figure 4(b) shows the source size distribution. The source sizes are mainly distributed from 1000 to 4000 AU. In our OMC-3 sample, the minimum detectable source size is roughly limited by the present SMA angular resolution.7 However, as noted before, the results of the Orion disk survey suggest the presence of more compact sources (D < 300 AU; Vicente & Alves 2005; Mann & Williams 2009a, 2009b). The maximum detectable source size is determined by the shortest baseline in the database, which is λ/Dmin. ∼ 19'' or 7800 AU. Further discussion on the detection of extended sources can be found in Wilner & Welch (1994). They used Gaussian models with limited uv sampling. If we assume Gaussian-shaped sources, our observations are sensitive to ∼17'' (7000 AU) structures at the 10% level. The source size of SMM 5, shown as the largest circular source size in Figure 4(b), is larger than the SMA detectable size—this is because we used a two-dimensional Gaussian fitting method to determine the source size. SMM 5's weaker peak intensity (compared to other sources), and its non-Gaussian structure, resulted in a two-dimensional Gaussian fit with a large FWHM.

In the residual image, the mean flux is 1.4 Jy within the JCMT 14'' beam. With the assumption of uniform flux distribution, the mean flux within the SMA 4farcs5 beam is estimated to be 144 mJy. This value is larger than the SMA 5σ level (100 mJy), which is the threshold for source identification. However, unless this missing flux arises from residuals that are smaller than the maximum detectable size, it will not be detected. Therefore, the missing flux most likely arises from the more extended filamentary structure (⩾19'').

4. DISCUSSION

4.1. Star Formation in OMC-3

As shown in the previous section, potential star-forming cores have been spatially resolved at 850 μm with the SMA. The origin of the 850 μm continuum emission comes mostly from thermal dust emission, suggesting dense gas associated with circumstellar envelopes. Physical properties of the detected continuum sources and the star formation activities in the OMC-3 region are discussed in the following subsections.

4.1.1. Gravitational Stability of the Continuum Sources

In order to discuss the physical properties of the detected SMA continuum sources, their measured source sizes are plotted as a function of the estimated hydrogen number density. Jeans analysis can provide a useful way to discuss the gravitational stability of the observed sources. With the assumption of an infinite and homogenous medium, the Jeans length is described as follows (Jeans 1902):

Equation (2)

where G is the gravitational constant, ρ0 is the mean density, and cs is the sound speed (the relation between the sound speed and the temperature of the gas is described as $c_s = \sqrt{{kT_{{\rm gas}}}/{{\mu }m_{{\rm H}}}}$), where Tgas is the gas temperature and k is the Boltzmann constant. The Jeans length corresponds to the critical scale when the gas cloud becomes gravitationally unstable, i.e., if the source size is larger than the Jeans length (Dcore  >  λfrag.), the core becomes gravitationally unstable and starts to collapse. The Jeans critical number density is described as a function of the Jeans length and gas temperature as

Equation (3)

In Figure 4(c), the Jeans critical number density is plotted as a function of source size for different gas temperatures (T = 10 K, 20 K, and 30 K) and is overlaid with the observed results. Here, we consider that the gas temperature within OMC filaments is approximately 20 K (e.g., Cesaroni & Wilson 1994). The plotted results clearly show that most SMA sources are located very close to the critical line (Tgas = 20 K) and several sources have a larger size than the Jeans length at their measured density. This result suggests that most of the detected continuum sources are gravitationally unstable and could be collapsing if we assume effect only from thermal support. No significant differences are detected between prestellar cores and protostellar cores.

4.1.2. Evolutionary Stages of the Continuum Sources

The Jeans criterium indicates that most of our SMA sources are gravitationally unstable. Here, we examine other observational evidence of their protostellar nature. In Figure 2, we compare the positions of infrared sources, i.e., protostars (denoted by orange open circles), and T Tauri stars (denoted by white open circles) based on Peterson & Megeath (2008), and our 850 μm continuum sources; these comparisons are of similar spatial resolutions (2''–5'' corresponding to 830–2100 AU at Orion). Multi-wavelength data and outflow survey results are summarized in Columns 2–7 of Table 5. Spitzer 8 μm sources were detected toward eight out of twelve SMA sources (∼67%), six out of twelve SMA sources (∼50%) have CO bipolar outflow, while three out of twelve SMA sources (∼25%) are associated with radio jets (Reipurth et al. 1999; Aso et al. 2000; Stanke et al. 2002; Williams et al. 2003; Takahashi et al. 2006, 2008a, 2009; Takahashi & Ho 2012). These results suggest that approximately half of the SMA sources in this region are protostellar.

Eight out of sixteen Spitzer sources (within the SMA observing region) are associated with the SMA continuum sources, which are identified as protostars (Peterson & Megeath 2008; Megeath et al. 2012). Six out of sixteen Spitzer sources, which are categorized as T Tauri stars, have no counterparts in the SMA continuum emission. Two out of sixteen Spitzer sources identified as protostars (Peterson & Megeath 2008; Megeath et al. 2012) are not associated with SMA continuum sources. That we did not detect submillimeter continuum emission from the T Tauri source as well as two protostars is likely due to the mass detection limit of our SMA observations. Evolutionary status of the individual sources is summarized in the last column of Table 5. Here, the classification between prestellar and protostellar cores is based on the detection of either an infrared source, and/or molecular outflow, and/or radio jet. The evolutionary status of a protostellar core was determined based on its SED. Since the spatial resolution of submillimeter observations is limited, we could not use the original definition for identifying Class 0 sources (i.e., Lbol/Lsubmm < 200 by Andre et al. 1993). Instead of this, the classification of Class I (Class 0) sources was determined based on the detection (non-detection) of 2.2 μm emission.

4.2. Filament Fragmentation

4.2.1. Hierarchical Structure

Our SMA continuum observations with 4farcs5 angular resolution have revealed a chain of density enhancements within the OMC-3 filament. The large-scale filamentary structure and their fragmentation properties can be a key to understanding the initial conditions of embedded clusters such as core spatial distribution, mass distribution, number distribution, and evolutionary sequence, all of which may govern the initial CMF of young stellar clusters and initial stellar multiplicity.

Certain fragmentation length scales within the OMC filaments have been suggested by several previous studies (Dutrey et al. 1991; Hanawa et al. 1993; Wiseman & Ho 1998; Johnstone & Bally 1999). The largest spacing is shown in the 12CO image by Maddalena et al. (1986), which corresponds to the Orion A and Orion B GMCs, and has a separation of ∼4fdg7 (35 pc). Within the Orion A cloud, periodical structures have been reported by Dutrey et al. (1991) in the C18O (1–0) image with peak separations about 9' (1.1 pc) toward the northern part of the Orion A cloud, while similar structures, with ∼10' (1.2 pc) separation, have also been reported in the 13CO (1–0) image at the southern part of the Orion A cloud by Hanawa et al. (1993). The emission peaks correspond roughly to significant star-forming regions such as OMC-1S, OMC-1, OMC-2, and OMC-3 within the Orion A cloud (Johnstone & Bally 1999). Single-dish observations in the NH3 (1, 1) and (2, 2) and single-dish (sub)millimeter continuum have shown the 0.1 pc scale dense clumps embedded within the OMC filaments (Cesaroni & Wilson 1994; Chini et al. 1997; Lis et al. 1998; Johnstone & Bally 1999). Johnstone & Bally (1999) pointed out that these clumps are equally separated along the filaments with separation of ∼150'' (0.31 pc). Moreover, smaller size scale density enhancements have been found in the high angular resolution VLA NH3 observations of the OMC-1 region (Wiseman & Ho 1998). Their mean separation is ≈50'' (0.1 pc).

Our SMA continuum observations revealed fragmentation within the 0.1 pc clumps. Nearest neighbor distances for each source are calculated, and listed in the sixth column of Table 4. The median separation between nearest neighbors is measured to be ∼17'' or 0.035 pc.8 Furthermore, we have performed 1.3 mm continuum observations with the SMA toward the OMC-1 north region, and found similar source separation within their filaments (≈0.06 pc). The details of the OMC-1 north observations will be presented and discussed in P. S. Teixeira et al. (2013, in preparation).

In summary, our SMA observations have resolved the continuum sources with quasi-periodical separation as small as ∼0.035 pc. A comparison of the SMA continuum observations with previous single-dish observations suggests multi-spatial scale fragmentation within the Orion A GMC with size scales between 37 pc and 0.035 pc.

4.2.2. Jeans Analysis

The fragmentation of molecular clouds is related to gravitational instabilities. Jeans analysis can provide a useful way to discuss which scale can grow and produce high-density regions. As described in Section 4.1.1, the critical Jeans length is described as Equation (4) with the assumption of an initially uniform background density (e.g., Jeans 1902; Binney & Tremaine 1987). For other geometric configurations, such as cylindrical and sheetlike structures, sufficiently large perturbations can also result in gravitational instability (e.g., Nakamura et al. 1993; Burkert & Hartmann 2004). In the case of an infinitely long static and cylindrical isothermal cloud, the perturbation wavelength for maximum instability (hereafter we simply call this the Jeans length) is described as follows (e.g., Nakamura et al. 1993; Wiseman & Ho 1998):

Equation (4)

In order to understand the physical mechanism of fragmentation processes over a wide range of size scale, the measured source separation is plotted as a function of the number density of their respective parental molecular clouds/clumps/cores in Figure 5. Note that the inclination of the filaments should be taken into account in this discussion. According to Genzel & Stutzki (1989), a randomly oriented filament will have a line-of-sight mean (median) inclination angle of 45° (60°). To display this projection effect (λobs = λfrag  ·  sin  i), core separations in the case of i = 45° are plotted in Figure 5 as open symbols. Table 6 summarizes the number densities, structure separations, and gas temperatures of different structures. These structures are listed by size: GMCs (⩾1 pc), large-scale clumps (0.5–1.0 pc), small-scale clumps (0.1–0.5 pc), and dense core (⩽0.1 pc). Here, we assume that dense cores are formed via the fragmentation of parental small-scale clumps, which in turn are formed via the fragmentation of parental large-scale clumps, and that these latter structures are formed via the fragmentation of parental GMCs. The measured separations were plotted as a function of the number density of the parental large scale structure. To further discuss the smaller scale fragmentation properties, the separation of the visible binary stars studied in the Orion Nebula Cluster (ONC; Reipurth et al. 2007) is also plotted assuming that the number density of their parental core is similar to that of our SMA continuum source.

Figure 5.

Figure 5. Observed separations of clouds/large-scale clumps/small-scale clumps/cores in parsec as a function of the mean hydrogen number density of the parental cloud in cm−3. The filled symbols show the separations assuming i = 90° (filament in the plane of the sky), and the open symbols show the separation assuming i = 45°. The plotted values are summarized in the second and fourth columns of Table 6 with reference papers. Data from GMC (Sakamoto et al. 1994; Wilson et al. 2005), large-scale clumps (Dutrey et al. 1991, 1993; Hanawa et al. 1993; Johnstone & Bally 1999), small-scale clumps (Cesaroni & Wilson 1994; Johnstone & Bally 1999), dense cores (this work), and binaries (Reipurth et al. 2007) are denoted by diamonds, circles, squares, upright triangles, and inverted triangles, respectively. The dashed line shows a reference power-law index of ($n_{{\rm H_2}}\,{\propto }\,{\lambda ^{-1.4}}$). The color lines show the expected maximum instability size as a function of number density derived from Equations (4) and (5): uniform background density with a gas temperature of 20 K (orange), cylindrical cloud with a gas temperature of 20 K (blue line), 50 K (green), and 100 K (pink).

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Table 6. Hierarchical Structure of the OMC Filaments

  $n_{{\rm H_2}}$ Tgas Measured Separation Corresponding Size Scale
  (cm−3) (K) (arcmin)
ISMs 50–100(1) 50–100(1) ... ISMs observed in H i 21 cm observations
GMCs 200–3000(2) ... 282(3) Ori A and Ori B (Separation between Orion BN/KL and NGC 2024)
Large-scale clumps 9.0e03–3.0e04(4) ... 9–10(5, 6, 7) Significant star-forming regions such as OMC1,2,3, etc.
Small-scale clumps 8.8e04–1.1e06(5, 8) 15–28(8) 2.5(5) Identified with single-dish NH3 and continuum observations
Dense cores 3.2e06–3.3e08(9) ... 0.15–0.55(9) Individual star-forming sites detected with the SMA observations
Binaries ... ... 0.0025–0.025(10) Binary separation range measured in ONC (Hα observations).

References. (1) Ferrière 2001; (2) Sakamoto et al. 1994; (3) Wilson et al. 2005; (4) Dutrey et al. 1993; (5) Johnstone & Bally 1999; (6) Dutrey et al. 1991; (7) Hanawa et al. 1993; (8) Cesaroni & Wilson 1994; (9) This work; (10) Reipurth et al. 2007.

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We overplot in Figure 5 the perturbation wavelength, λfrag., given in Equations (2) and (4) for various gas temperatures. The observed fragmentation spacings (denoted in Figure 5 as filled symbols) roughly follow a single power law over almost four orders of magnitude, suggesting that the hierarchical fragmentation could be governed by a single physical process. Figure 5 indicates that the data are described better by a shallower index, −1.4 (dashed line), than that predicted by maximum instability size as a function of density of isothermal clouds, −2.0 (solid line). This shallower index can be explained by differences of cloud temperatures over different size scales. Parsec-scale GMCs are exposed to ionized gas from H ii regions, cosmic rays, large-scale turbulence, etc., which work as heating processes. Consequently, the mean temperature of parsec-scale clouds tends to be relatively high (e.g., 50–100 K in the interstellar mediums (ISMs); e.g., Ferrière 2001). Intermediate regions (both large- and small-scale clumps) of the OMC molecular cloud (0.1–1.0 pc) are also most likely exposed to the strong interstellar radiation field from nearby star-forming clusters, e.g., strong heating from the exterior, corresponding to 1000 times stronger interstellar radiation field as suggested toward a few small-scale clumps in the OMC-2/3 region from the CO isotopes observations with Monte Carlo line radiative transfer models (e.g., Jørgensen et al. 2006). This strong radiation is able to produce the higher gas temperature (>30 K) at the outer most part of the envelope gas. Finally, deeply embedded dense cores within filaments are shielded from these heating processes. Thus, the innermost parts of clouds have low temperatures (e.g., ≈20 K; Cesaroni & Wilson 1994; Wiseman & Ho 1998; Tatematsu et al. 2008). This decrease in temperature with size scale means the fragmentation length will also decrease more sharply than the isothermal case. This leads to a shallower power law in Figure 5.

Moreover, the dissipation of the magnetic flux on the smaller scale can also be responsible for the observed shallower power-law index. Since large-scale diffuse structures are always exposed to cosmic ray and/or ionized gas from the surrounding H ii region, the fractional ionization in large-scale molecular clouds is higher than in the small-scale dense gas core. Therefore, ambipolar diffusion will be more efficient in the dense cores, leading to less magnetic support, and a smaller fragmentation length (e.g., Nakano & Tademaru 1972). Finally, turbulence, which is often observed in GMC size scales (Larson 1981; Solomon et al. 1987), can also be responsible for the observed shallower power-law index. Detailed discussion for the OMC case will be described in Section 4.2.3.

Observational results suggest that the fragmentation spacings, especially at the scales of clumps (0.1–1 pc), are roughly consistent with the maximum instability size derived from either the initially uniform density cloud (orange solid line in Figure 5) or cylindrical clouds (blue solid line in Figure 5), assuming increasing temperatures with size scale. This indicates that the fragmentation may be occurring through the thermal fragmentation process. The SMA detected continuum sources (denoted in Figure 5 by triangle shaped data points) are embedded within a filament. Hence the core separation should be around the maximum instability size of the cylindrical clouds model (denoted in Figure 5 by the blue line). However, the observed core separation is a factor of 2.0–7.3 smaller than the thermal fragmentation spacing with Tgas = 20 K, $n_{{\rm H_2}}=8.8\times 10^4\hbox{--}1.1\times 10^6$ cm−3 (Table 6), and i = 90°. In the next subsection, we explore different physical processes that can affect the fragmentation size scale.

4.2.3. What Mechanisms Affect the Observed Core Separation?

From our SMA observational result, the observed fragmentation (λfrag = 0.035 pc) is smaller than the Jeans length of the clump. Projection effects are not sufficient to explain this difference: λfrag = λobs/sin i < λJ for 45° ⩾ i ⩾ 90°. In order to further discuss the fragmentation properties within the Orion A GMC, we summarize different possible mechanisms that can affect the fragmentation size scale.

Turbulence. In this case, the cloud fragmentation length is described by Equations (2) and (4) with the effective sound speed ceff instead of the sound speed cs. The ceff is defined as c2eff = (Δvobs2/8ln 2), where Δvobs is the observed velocity dispersion and is given by Δv2obs = Δvt2 + Δv2nt, where Δvt and Δvnt correspond to the thermal and non-thermal velocity dispersion, respectively. Turbulence will therefore produce a fragmentation scale larger than the Jeans length. Figure 5 and Table 6 present that observed clump separations are roughly consistent, or smaller, than the thermal fragmentation lengths for scales of a few parsec. These results suggest that turbulence has already decayed for size scales ⩽1 pc. For scales of a few parsec or larger, turbulent pressure may in fact be dominant. For example, Jackson et al. (2010) studied a filament that spans 80 pc and conclude that its observed fragmentation scale (≈5 pc) can only be described by an isothermal filamentary cloud determined by turbulent pressure, or equivalently, by a self-gravitating incompressible fluid cylinder. Our data indicate that the OMC 3 filament fragmentation cannot be explained by this scenario.

Magnetic field and cloud rotation. Other physical processes that might affect the fragmentation length of filaments are helical magnetic field and cloud rotation (Pudritz & Fiege 2000; Matsumoto et al. 1994). In fact, Matthews et al. (2001) use the helical field geometry of a magnetic field to interpret their JCMT/SCUBA polarization observations toward OMC-3. Their data indicate that the magnetic field in the northern part of OMC-3 is toroidal. Hanawa et al. (1993) have performed magnetohydrodynamical simulations for filament fragmentation, consisting of an isothermal rotating cloud + helical magnetic field, and found a dispersion relation (Equation (11), Hanawa et al. 1993). We can write the fragmentation wavelength for the toroidal magnetic field case as

Equation (5)

where H represents a length scale of the parental clump, and is given by

Equation (6)

where ρc is the peak density of the parental clump, and the effect from magnetic field and rotation are described by α and β as

Equation (7)

where Ω is the rate of rotation and B is the magnetic field strength. Equation (5) shows that if (α + β)  ⩾  1, the maximum instability size will become smaller than the thermal fragmentation length. If α + β ≪ 1, the effects from the magnetic field and rotation are negligible.

Global collapse of the parental cloud. Recent theoretical studies present how cloud structures and global collapse significantly affect local fragmentation properties (e.g., Burkert & Hartmann 2004; Pon et al. 2011, 2012). If the original parental cloud is not infinitely long or spherical, gravitational focusing results in enhanced concentrations of mass inducing global collapse unless magnetic fields, cloud rotation, and/or external pressure dominate (Burkert & Hartmann 2004). As we can see from the JCMT/SCUBA 850 μm continuum observations (Figure 2, right panel), the parental filamentary clump (e.g., 1.5 Jy beam−1 denoted by thick contour) shows a relatively well-defined edge, so according to Burkert & Hartmann's model, global collapse could potentially be underway in this clump. A recent paper by Pon et al. (2011) pointed out that filamentary geometry is the most favorable situation for the smallest perturbation to grow before global collapse overwhelms the cloud. Their following paper (Pon et al. 2012) suggested that filaments with large aspect ratio would take more time to collapse. For example, the global collapse timescale for a cloud aspect ratio of 10 (similar to the case of the observed clumps) is roughly seven times slower than the spherical free-fall time. This can explain how local fragmentation at the size scale of dense cores and global collapse of their parental small-scale clump could be concomitant. Global collapse will eventually shorten the spacing between the fragmented cores, and this scenario could therefore potentially explain the observed shorter fragmentation length compared to Jeans length.

In summary, there are three physical mechanisms that can increase (turbulence) or decrease (magnetic fields and rotation, or global collapse) the fragmentation length relative to the Jeans length. The fragmentation lengths obtained from the data presented in this paper are consistent (0.3 pc–1 pc scale) or smaller (⩽0.1 pc scale) than the Jeans fragmentation length, suggesting that turbulence does not play a significant role in the fragmentation process for these size scales. Note that some of their core are larger than their associated Jeans length, and therefore, they could fragment further. We discussed how the magnetic field and cloud rotation, or global collapse may decrease the observed fragmentation length. However, at the moment we are unable to quantitatively constrain α + β, or the inflow from the global collapse for our case—only future direct comparisons between higher-dynamic range kinematic data and more realistic models can properly address these issues.

Core fragmentation. In addition to the large-scale clump fragmentation properties discussed above, we would like to explore further the smaller core-scale fragmentation properties, which is related to binary star formation (⩽1000 AU). These binary stars observed in the ONC have a wide range of separations from 0.0027–0.027 pc (67.5–675 AU; Reipurth et al. 2007). The plotted results in Figure 5 suggest that wide binary systems (⩾200 AU) might follow the same power-law index extrapolated from the observed large size scale cloud fragmentation, i.e., these wide binaries could be formed through the next level of the hierarchical process. This lends support to the theoretically predicted binary formation scenario through the hierarchical fragmentation of the parental core occuring in the isothermal collapse phase (e.g., Goodwin et al. 2007; Machida et al. 2008). Close binary systems (⩽100 AU) might be formed through other mechanisms; hydrodynamic simulations suggest that angular momentum within the rotating and collapsing hydrostatic first cores is a crucial parameter to determine the later fragmentation properties (e.g., Boss 1989; Bonnell & Bate 1994; Bate 1998; Saigo & Tomisaka 2006; Machida et al. 2008). Furthermore, star–disk encounters could also play an important role in redistributing angular momentum in protoplanetary disks and forming binary systems (e.g., Larson 2002; Pfalzner 2004; Pfalzner et al. 2005).

4.2.4. Fragmentation Timescale

One interesting issue related to filament fragmentation is whether the fragmentation occurs simultaneously in the entire filament, or instead propagates along it, producing sequential star formation along the filament. With the SMA continuum observations, we found the following interesting tendencies among the sources: (1) a chain of continuum sources is detected in the northern part of the OMC-3 filament from SMM 2 to SMM 8 with a similar spatial separation, (2) a relatively extended fluffy source (elongated structure), SMM 5, is located at the center of the chain of the continuum sources, and this fluffy structure still seems to be in the process of core formation (or fragmentation). No star formation signatures such as outflow/jet association or infrared source are found, which supports the idea that SMM 5 is probably the youngest star formation site within the filament. Why does SMM 5, which is located in the middle of the filament, have a fluffy structure? A fragmentation process which propagates along the filament from each end inward can be one possibility to explain this.

Previous numerical calculations give us a hint that the finite geometry of gas clouds promotes concentrations of material at the ends of the filament, at the beginning of the filament fragmentation. Hanawa et al. (1994) performed one-dimensional hydrodynamic simulations of a finite long filamentary cloud. These simulations suggest that dense cores are produced with a semi-regular interval in space and time from one edge to the other. The gas near the edge is attracted inward by gravity and the accumulation of the gas makes a dense core near the edge. When the dense core grows in mass up to a certain amount, it gathers gas from the other direction. Accordingly the dense core becomes isolated from the main cloud and the parent filamentary cloud has a new edge. Via the same process, the next accumulation of gas at the new edge makes a new dense core. The fragmentation is considered to propagate at approximately the effective sound speed (1.23ceff derived from the simulation by Hanawa et al. 1994; 1.1ceff derived from a linear stability analysis by Nakamura et al. 1993). Signatures of the fragmentation propagating down the filament are actually observed in the Taurus Molecular Cloud −1 region (Hanawa et al. 1994).

Our SMA results also show that the chain of continuum sources, from SMM 2 to SMM 8, is embedded within the most northern part of the OMC-3 filaments where both ends show edge-like density contrast (finite filamentary clouds with two edges; Figure 2). The mean value of the observed velocity width in FWHM is approximately 0.88 km s−1 in this region (the mean velocity width derived from NH3 observations toward the northern OMC cloud by Cesaroni & Wilson 1994) and the effective sound speed is estimated to be $c_{{\rm eff}} \sim \sqrt{{{\Delta }v^2}/{8 \,{\ln}\,2}}\sim 0.37$ km s−1. The mean projected distance from the sources at the two edges of the filament (i.e., SMM 2 and SMM 8) to SMM 5 is measured to be 0.15 pc. Therefore, the timescale of the fragmentation propagation is estimated to be approximately 0.15 pc/0.37 km s−1 ∼ 3.0 × 105 yr. The detected continuum source in the filament has similar to the protostellar phase (Peterson & Megeath 2008; Megeath et al. 2012). The typical evolutionary timescale of such sources is 104–105 yr (Beichman et al. 1986; Shu 1977). Estimated propagation timescale of the filament fragmentation is similar to, or slightly longer than, the star formation timescales of the detected sources. This may suggest that the protostars formed within the fragmented cores, where star formation began almost at the same time as the clump fragmentation. More complete fragmentation timescale analysis (including other parts of the OMC filaments) will be presented in following papers.

5. CONCLUSION AND FUTURE PROSPECTS

High-resolution 850 μm continuum observations have been carried out using the SMA toward the OMC-3 northern filament with a mosaic of 85 fields covering approximately 6farcm5 × 2farcm0 (0.80 × 0.25 pc). The data were supplemented by multi-wavelength data sets to investigate the evolutionary stage of each source. The main results are summarized as follows.

  • 1.  
    With the SMA 850 μm observations, 12 dust continuum sources have been identified and spatially resolved with an H2 mass between 0.3–5.7 M and a source size between 1400–8200 AU. We found 850 μm continuum counterpart to the previously known ten sources and present the discovery of two new additional sources. The detected sources have a variety of structures and evolutionary stages, ranging from the prestellar phase to the Class 0/I phases. Jeans analysis suggests that all the detected sources are most likely gravitationally unstable. Multi-wavelength data sets confirmed that 6/12 (50%) continuum sources have molecular outflows, 8/12 (67%) continuum sources are associated with infrared sources, and 3/12 (25%) continuum sources are associated with ionized jets. These results suggest that OMC-3 is an active protostar-forming region.
  • 2.  
    Hierarchical structure with quasi-periodical separations on different size scales is suggested with a size of ∼4fdg7/35 pc down to 17''/0.035 pc, implying a multi-size scale fragmentation process. Fragmentation spacings in clumps (0.1–1 pc) are roughly consistent with the thermal fragmentation lengths in each structure. However, shorter spacings than those expected from thermal fragmentation have been detected in the SMA data (≈0.04 pc). This could be explained by either a helical magnetic field, parental cloud rotation, or/and large-scale filament collapse.
  • 3.  
    Possible evidence for sequential fragmentation as local conditions evolve is suggested in the northern part of the OMC-3 filament. The fragmentation propagation timescale is estimated to be τfrag. ∼ 3.0 × 105 yr. This timescale is roughly consistent with (or slightly longer than) the lifetime of the detected protostellar sources, which is 104–105 yr. These results suggest that the protostars formed within the fragmented cores, and that star formation began at almost the same time as the core fragmentation.

Our interferometric observations successfully resolved the detailed gas structure associated with the individual star formation sites within the filamentary structure. However, present observations are still limited by mass sensitivity (⩾0.15 M) and suffer from the large missing flux of the filament (∼16% recovering flux). Due to this, we are biased to detect relatively bright and compact structures (i.e., mostly massive envelope associated with the prestellar and protostellar cores). In order to detect less bright sources (e.g., emission from Class II sources, brown-dwarf mass sources) and to obtain a wider evolutionary range from the sample, even higher sensitivity observations are required. In addition, a larger sample is crucial to investigate the evolutionary tendencies along the entire OMC filaments. Furthermore, polarization observations with high sensitivity and high-spatial resolutions are crucial for elucidating the magnetic field structures, for measuring the field strength at the early evolutionary stages, and for verifying the role of the magnetic field in the filament fragmentation processes. These issues are future prospects with extended data sets using the SMA, EVLA, and ALMA.

We acknowledge the staff at the Submillimeter Array and the Very Large Array for assistance with operations and helpful comments related to data reduction. S.T. acknowledges K. Asada, B.-C. Hsieh, Z.-W. Zhang, A. Hacar, K. Saigo, and H. Hirashita, D. Johnstone for fruitful comments. We also thank D. Johnstone for providing us the submillimeter continuum data taken with the JCMT/SCUBA. S.T. is financially supported by a postdoctoral fellowship at the Institute of Astronomy and Astrophysics, Academia Sinica, Taiwan, and was supported by visitor programs at ESO (Garching) and MPIfR, while visiting co-authors P. S. Teixeira and L. A. Zapata, respectively.

Footnotes

  • 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.

  • The minimum detectable size is also related to the signal-to-noise ratio of the detected sources. Since a high enough signal-to-noise ratio (⩾50) has been achieved in our observations, we have succeeded in spatially resolving the structures smaller than the synthesized beam.

  • For the nearest neighbor calculation, we exclude SMM 7 since the separation between SMM 7 and SMM 8, ∼1farcs4, is much smaller than the other sources. We consider that the separation of the sources is likely related to the formation of a binary system, which is the next fragmentation size scale.

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10.1088/0004-637X/763/1/57