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L1448-MM OBSERVATIONS BY THE HERSCHEL KEY PROGRAM, "DUST, ICE, AND GAS IN TIME" (DIGIT)

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Published 2013 October 11 © 2013. The American Astronomical Society. All rights reserved.
, , Citation Jinhee Lee et al 2013 ApJS 209 4 DOI 10.1088/0067-0049/209/1/4

0067-0049/209/1/4

ABSTRACT

We present Herschel/Photodetector Array Camera and Spectrometer (PACS) observations of L1448-MM, a Class 0 protostar with a prominent outflow. Numerous emission lines are detected at 55 <λ < 210 μm including CO, OH, H2O, and [O i]. We investigate the spatial distribution of each transition to find that lines from low energy levels tend to distribute along the outflow direction while lines from high energy levels peak at the central spatial pixel. Spatial maps reveal that OH emission lines are formed in a relatively small area, while [O i] emission is extended. According to the rotational diagram analysis, the CO emission can be fitted by two (warm and hot) temperature components. For H2O, the ortho-to-para ratio is close to 3. The non-LTE large velocity gradient (LVG) calculations suggest that CO and H2O lines could instead be formed in a high kinetic temperature (T > 1000 K) environment, indicative of a shock origin. For OH, IR-pumping processes play an important role in the level population. The molecular emission in L1448-MM is better explained with a C-shock model, but the atomic emission of PACS [O i] and Spitzer/Infrared Spectrograph [Si ii] emission is not consistent with C-shocks, suggesting multiple shocks in this region. Water is the major line coolant of L1448-MM in the PACS wavelength range, and the best-fit LVG models predict that H2O and CO emit (50%–80%) of their line luminosity in the PACS wavelength range.

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1. INTRODUCTION

In the earliest evolutionary stage, protostars are surrounded by optically thick envelopes, still infalling remnants of the molecular cloud core. These deeply embedded young stellar objects (YSOs) can be seen at long wavelengths, from IR to radio, as higher frequency photons from the protostars are absorbed by their envelope material and re-emitted at longer wavelengths. The active accretion process in the embedded Class 0/I objects launches jets and well collimated outflows that induce shocks and thus heat the surrounding envelope material, which cools through atomic and molecular emission lines. The fast-moving jets carve out portions of the envelope as they exit the protostar, creating dense walls around an evacuated cavity, along which far-UV photons penetrate.

The gas heated by shocks and high energy UV photons produces line emission at IR wavelengths. CO and H2O, which are the most abundant species after H2 in the envelopes of YSOs, have copious rotational transitions in the far-IR (FIR) regime. In addition to CO and H2O lines, the FIR [O i] and OH lines are also frequently observed in the shocked and entrained material as presented by Giannini et al. (2001) and Nisini et al. (2002). Based on observations of 17 Class 0 sources with the Long Wavelength Spectrometer (LWS) on board the Infrared Satellite Observatory (ISO), Giannini et al. (2001) showed that the total FIR line cooling generated by [O i], OH, H2O, and CO lines can be a direct tracer of the power deposited in the outflow, which is directly related to the mass accretion rate to the central object. Therefore, FIR spectroscopic observations in the wavelength range of ∼50–200 μm is very important to study the cooling budget among [O i], OH, H2O, and CO, and to understand the related heating mechanisms.

Recently, observations of embedded YSOs have been carried out with the Photodetector Array Camera and Spectrometer (PACS; Poglitsch et al. 2010) aboard Herschel to reveal very rich FIR line forests (van Kempen et al. 2010a, 2010b; Herczeg et al. 2012; Goicoechea et al. 2012; Karska et al. 2013; Green et al. 2013). Because of its high sensitivity and relatively high spectral resolution, relative to the ISO observations, PACS can detect weaker lines and resolve different line components. Those PACS FIR line observations have been combined with detailed models to find that both C- and J-shocks, as well as UV radiation, are necessary to explain the relative strength of lines (Visser et al. 2012; Goicoechea et al. 2012).

One of the most studied embedded sources with ISO and Herschel is L1448-MM (Nisini et al. 1999, 2000, 2013; Giannini et al. 2001; Kristensen et al. 2011; Santangelo et al. 2012). L1448-MM, a deeply embedded Class 0 YSO with Lbol = 8.4 L (Green et al. 2013) with an outflow, was detected first in 2 cm radio observations (Curiel et al. 1990). Very long baseline interferometry parallax measurements of the water maser from L1448-MM yield a distance, d = 232 ± 18 pc (Hirota et al. 2011). The continuum was also detected at millimeter wavelengths (Bachiller et al. 1991). The H2v = 1–0 vibrational line (Bally et al. 1993) and water masers were also detected (Chernin 1995; Claussen et al. 1996; Hirota et al. 2011). Bachiller et al. (1990) detected high velocity (up to 70 km s−1) bullets in CO J = 2–1 and J = 1–0 observations. The bullets in the redshifted gas are aligned in the southeast (SE) direction and have a symmetrical counterpart to the northwest (NW), with respect to the L1448-MM position. Dutrey et al. (1996) and Nisini et al. (2007) also found more evidence for bullets by observing the SiO v = 0, J = 2–1 transition.

The ISO observations detected molecular emission lines (CO, OH, and H2O) as well as the atomic fine structure line (O i) in L1448-MM (Nisini et al. 1999). Nisini et al. (1999) suggested that the molecular lines are excited in a region with T ∼ 700–1400 K. They also pointed out that H2O is the main coolant in the region with a high abundance, which may be associated with non-dissociative shock. The low spatial resolution (the beam size of LWS is 75'') of ISO left open the possibility that emission from different regions could have been mixed together.

High sensitivity observations with Spitzer revealed two point-like IR objects in L1448-MM (Jørgensen et al. 2006). The newly identified point-like IR source (L1448-MM(B)) is located 8'' to the south of the previously known YSO (L1448-MM(A)). (These two sources were encompassed by a ISO beam.) Hirano et al. (2010) found a low velocity (vflow < 15 km s−1) outflow associated with L1448-MM(B) in their Submillimeter Array CO J = 3–2 map.

Recently, Kristensen et al. (2011) resolved multiple kinematic components, which consist of the high velocity (|v| > 50 km s−1) bullets referred to as EHV (extremely high velocity) components and a broad emission component centered at vLSR, in water and CO line profiles observed with Herschel/HIFI in L1448-MM. Santangelo et al. (2012) and Nisini et al. (2013) made detailed studies of the excitation conditions in different kinematic components of one of outflow knots and on-source, respectively, based on the Herschel/HIFI water observations. Therefore, the significantly improved sensitivity and spatial/spectral resolutions of Herschel, compared to ISO, is crucial to study L1448-MM, which is very complex spatially and kinematically.

Here we present a more detailed study of L1448-MM, which was observed by the Herschel Key Program, DIGIT, "Dust, Ice, and Gas In Time" (PI: N. Evans), in the view of the cooling budget in the gas heated up to a few 100–1000 K. We model observed molecular line fluxes with a non-LTE radiative transfer code, RADEX, to understand the energy budgets and the excitation conditions in the region, and we also compare observed line fluxes with shock models to study the characteristics of associated shocks.

In this paper, we combine our PACS observations with previously obtained data and information to study L1448-MM in more detail. Observations and data reduction are described in Section 2. In Sections 3 and 4, we present observational results and the analyses. Then we discuss and summarize the results in Section 5 and 6.

2. OBSERVATIONS AND DATA REDUCTION

2.1. The PACS Observation

PACS is a 5×5 array of 9farcs4 × 9farcs4 spatial pixels (hereafter referred to as spaxels) covering the spectral range from 50–210 μm with λ/δλ ∼ 1000–3000, divided into four segments, covering λ ∼ 50–75, 70–105, 100–145, and 140–210 μm. L1448-MM was observed on 2011 February 2 (λ ∼ 50–75 and 100–145 μm; AOR: 1342213683) and 2011 February 22 (λ ∼ 70–100 and 140–210 μm; AOR: 1342214675) in the range scan mode of PACS with a single footprint.

The telescope and sky background emission was subtracted using two nod positions 6' from the source in opposite directions. Each segment was reduced using the "calibration block" pipeline from HIPE v8.1 (Ott 2010), and flux calibrated to an extraction from HIPE v6.1. The former extraction produces spectra of higher signal-to-noise ratio (S/N), while the latter provides better absolute flux calibration. This process and the reasoning behind using two different HIPE versions are described in detail in Green et al. (2013). Green et al. (2013) applied consistent methods to all sources to correct for the extended emission in continuum and line. However, the methods are not optimized for targets with multiple sources. In the case of L1448-MM, we observed clear evidence of multiple emitting sources within the PACS field of view (FOV). As a result, we used modified methods to extract exact continuum/line fluxes, so our fluxes are slightly different from those in Green et al. (2013). However, the main concept for our flux measurements is similar to Green et al. (2013); only the HIPE v6.1 reduction was used for the spectral energy distribution (SED) extraction, but the combination of the HIPE v6.1 and HIPE v8.1 reductions was adopted for line fluxes.

Unlike isolated sources, it is hard to correct for the point-spread function (PSF) in L1448-MM because it has multiple sources. As a result, we added the whole fluxes over 25 spaxels to present the total continuum flux. (The decomposition of the fluxes by the multiple sources is explained in Section 3.2.) For the line fluxes, we calculated the equivalent width (EW) of each emission line from the HIPE v8.1 reduction, then multiplied the EW by the local continuum determined from the HIPE v6.1 reduction to calculate total line fluxes over the whole 25 spaxels, fitting a first-order polynomial baseline to local continuum. Line widths and continuum levels were fitted with the Spectroscopic Modeling Analysis and Reduction Tool (Higdon et al. 2004), which was originally developed for data analysis of the Infrared Spectrograph (IRS; Houck et al. 2004) on Spitzer.

For the total line fluxes over the whole L1448-MM region covered by PACS, we used the EWs of CO, H2O, and OH lines measured in the spectra extracted from the two spaxels, where the lines are the strongest and two point sources, L1448-MM(A) and L1448-MM(B) are located. We compared the EWs measured from these two spaxels with the EWs measured from a sum over all 25 spaxels to determine if there was any sign of spatially extended CO, H2O, or OH lines. In this analysis we found that the EWs were not different in the two cases, and the line fluxes increased as the PSF would predict. However, for [O i] lines, the EW measured from all spaxels is much greater than that measured from the two spaxels, even after accounting for broadening due to the PSF. [O i] lines are detectable over four spaxels (see Figure 15), and the EWs from the four spaxels are consistent with the EWs from the whole 25 spaxels although the four spaxel EWs have lower measurement errors. As a result, we adopted the four spaxel EWs for [O i] lines to calculate total [O i] line fluxes. The procedure of measuring line fluxes as well as the error calculation is described in the Appendix of this work. According to the measured EWs, all observed lines are spectrally unresolved in the PACS observations. As mentioned above, L1448-MM is composed of multiple sources; therefore, we also measured fluxes of each source separately. The simple method we used to decompose the multiple sources into separate fluxes is described in Section 3.2.

2.2. The IRS Mapping of the H2 Pure Rotation Lines

The area around L1448-MM was mapped with Spitzer/IRS in 2008 February (Neufeld et al. 2009; Giannini et al. 2011). H2 rotational lines (S(0)–S(7)) in the range of 5 ∼ 38 μm were detected. We convolved these H2 maps with the PACS spaxels to compare with our PACS maps. Refer to Neufeld et al. (2009) and Giannini et al. (2011) for the details of these observations.

2.3. The SRAO CO J = 2–1 Observation

Additionally, we present observations of the CO J = 2–1 transition at 230.537970 GHz, mapped with the 6 m telescope at Seoul Radio Astronomy Observatory (hereafter SRAO) in 2010 May. The beam FWHM is 48'' at 230 GHz and the velocity resolution is 0.127 km s−1 after binning by two channels. The main beam efficiency and pointing accuracy are 0.57 and ∼3'', respectively.

2.4. The Archival Data

Finally we include Spitzer observations of L1448-MM. The IRAC and MIPS images used here have been downloaded from the Spitzer data archive. However, we adopt the point source fluxes at the IRAC and MIPS bands from Jørgensen et al. (2006). The IRS Short–High and Long–High data obtained by Nisini in (2006) have been also downloaded from the Spitzer data archive and reduced with the same method used in Furlan et al. (2006).

3. RESULTS

3.1. Spitzer Images of L1448-MM

In the IRAC images, the trail of sources aligns in the SE–NW direction (Figure 1), which is consistent with the large-scale outflows. There is an additional point-like source between L1448-MM(A) and MM(B) in the IRAC band 3 and 4 images, which has been reported as a tertiary 1.3 mm continuum source (Maury et al. 2010). Owing to decreased resolution in MIPS band 2, L1448-MM(A) and MM(B) are not resolved in that image, although they seem distinct from each other in images at shorter wavelength. Hereafter, we designate L1448-MM(A) and L1448-MM(B) as MM(A) and MM(B), respectively.

Figure 1.

Figure 1. Spitzer images of L1448-MM. Images are ∼50'' (∼11,000 AU) on each side. The cross shows the location of the millimeter emission peak of L1448-MM(A) and the star represents the location of L1448-MM(B) (Jørgensen et al. 2007). The center of the images corresponds to the coordinates of L1448-MM(A), (α, δ)=(3h25m38fs87, +30°44'5farcs4). The coordinates of L1448-MM(B) are (3h25m39fs14, +30°43'58farcs3).

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3.2. The IRS and PACS Spectra

Here we present the SEDs of two point sources, MM(A) and MM(B) collected for wavelengths ranging from a few microns to submillimeter. In Figure 2, the IR data points come from Jørgensen et al. (2006) and fluxes at millimeter wavelengths are taken from Curiel et al. (1990), Jørgensen et al. (2007), Maury et al. (2010), and Hirano et al. (2010). The IRS spectra of MM(A) and MM(B) are also plotted in Figure 2.

Figure 2.

Figure 2. SEDs of MM(A) and MM(B). The color lines represent spectroscopic observations. The blue lines show spectra from MM(A) in the range of IRS and PACS. The red lines represent spectra from MM(B) in the range of IRS and PACS. The black line displays the spectrum extracted the whole 5 × 5 array of PACS. The longer than 100 μm of the PACS spectra has been scaled down by the factor of 0.753 to match the continuum levels around 100 μm (Green et al. 2013). Points show millimeter and IR photometry observations: blue circles and red diamonds display MM(A) and MM(B) fluxes, respectively. The purple diamond represents flux at 24 μm, where MM(A) and MM(B) are not separated. The solid lines present the results of fitting the fluxes in the range of 700 μm <λ < 3000 μm. The fitted line for MM(A) is extended to λ ∼ 20,000 μm as a dotted line.

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In the PACS range (Figure 2), the black line represents the spectrum extracted from all 25 spaxels (see Section 2.1) while the blue and red lines show the spectra of MM(A) and MM(B), separately. All three spectra (black, blue, and red) have been extracted from the HIPE v6.1 reduction, which provides superior flux calibration. In the PACS footprint, MM(A) and MM(B) are located near the central spaxel and the spaxel in the right south of the central spaxel, which are designated as spaxel C and S, respectively, as seen in Figure 3. The coordinates of spaxel C are the same as the coordinates of MM(A), but the coordinates of spaxel S, (3h25m39fs0, +30°43'56fs8), are slightly different from those of MM(B).

Figure 3.

Figure 3. PACS footprint (green) against the IRAC 2 image and the SRAO CO J = 2–1 outflow map. The spaxels located at the positions of MM(A) and MM(B) are designated as spaxels C (blue) and S (red), respectively. The purple crosses are the positions of SRAO observation. A much higher resolution map of CO J = 2–1 can be found in Bachiller et al. (1990), but the general feature is the same. The gray circle shows the beam FWHM of SRAO. The blue contours are integrated from −10.0 to −1.2 km s−1, while the red contours are integrated from 9.9 to 20 km s−1. The contours start at 1.5 K km s −1 and increase by 0.5 and 1.0 K km s−1 for blue and red components, respectively.

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To obtain the spectra of MM(A) and MM(B), we (1) extracted spectra from the spaxels, C and S, respectively, (2) scaled to match continuum levels around 100 μm, and (3) corrected for the effect of the PSF of PACS to each source.

Since the spectra of each segment (λ ∼ 50–75, 70–105, 100–145, 140–210 μm) are not matched smoothly, we scaled up or down SEDs of each segment to match continuum levels around 100 μm. The scale factors applied to the spectrum extracted from spaxel C are 1.052, 0.918, and 0.854 in the range of λ < 72, 101–142, and >142 μm, respectively. The scale factors for the spectrum extracted from spaxel S are 0.903, 0.667, and 0.727, in the same wavelength range.

In order to correct for the PSF, that is, to decompose fluxes of MM(A) and MM(B), we assume that only two point-like sources contribute the emission in the two spaxels and calculate the contribution of each source to the normalized fluxes of two spaxels using the PSF.7 The contribution of a point source to the spaxel where it is located is 80% at 50 μm and 32% at 200 μm, and to the adjacent spaxel is ∼3.5% at 50 μm and ∼10% at 200 μm. As a result, at a given wavelength, the fluxes of the two point sources are decomposed by solving two simple linear simultaneous equations as below:

Equation (1)

Equation (2)

Fλ, C and Fλ, S are fluxes measured from the spectra extracted at spaxel C and S, while Xλ, A and Xλ, B are the decomposed fluxes of MM(A) and MM(B), respectively. Pλ, AC and Pλ, BC are the contribution to spaxel C by MM(A) and MM(B), while Pλ, AS and Pλ, BS are the contribution to spaxel S by MM(A) and MM(B), respectively. Pλ, AC, Pλ, BC, Pλ, AS, and Pλ, BS were calculated with the exact coordinates of MM(A) and MM(B).

The slope of the SEDs (rising into the FIR) demonstrates that cold material is present showing that both MM(A) and MM(B) are deeply embedded. The continuum luminosity integrated in the PACS wavelength range is about 3.5 and 0.9 L for MM(A) and MM(B), respectively, as listed in Table 4. The bolometric luminosities of MM(A) and MM(B), which are calculated with their decomposed SEDs, are ∼5.5 and 1.7 L (see Section 5).

In the IRS range, the flux of MM(B) is flatter than that of MM(A) longward of 15 μm. In the IRS spectrum of MM(B), the flux drops shortward of 15 μm. The excess flux in the IRAC bands compared to what is extrapolated from the IRS SED might be attributed to some shocked gas and scattered light around MM(B).

A deep CO2 15.2 μm ice absorption feature has been detected in both MM(A) and MM(B) (Figure 4), indicative of the existence of dense envelopes in both sources. Both CO2 absorption profiles show the broad red wing, which is attributed to the CO2 and H2O ice mixture. Although the S/N is somewhat low, we see clearly a double-peaked feature, indicative of the pure CO2 ice component, which exists only toward protostars (Pontoppidan et al. 2008). In the millimeter wavelength range (700 <λ < 3000 μm), the spectral index (−dlogSν/dlogν, where Sν is the flux density, and ν is the frequency) is about 2.4 for MM(A) and 2.2 for MM(B). These large (>2) positive values imply that the millimeter continuum emission comes from dust, not from ionized gas. These SEDs and the CO2 ice absorption feature, including the pure CO2 ice feature, indicate that both sources are deeply embedded YSOs. The available millimeter data, however, do not constrain the dust properties further.

Figure 4.

Figure 4. Optical depth of the CO2 15.2 μm ice absorption feature toward MM(A) and MM(B). The emission line around 15 μm in MM(A) is possibly the CO2 gas line at 14.98 μm (Dartois et al. 1999). The arrows indicate the double-peaked feature, which is produced by the pure CO2 ice component.

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The PACS spectra show numerous molecular lines of CO, H2O, and OH in addition to atomic [O i] lines (Figure 5). The detected lines are listed in Table 1 including the upper level energy, Eu = (Eupper/k) (k is Boltzmann constant), and the Einstein coefficient, Aul. The detected lines of each species are presented in Figures 69, where we present lines extracted only from the central spaxel. As the central spaxel contains most of the continuum, many lines were detected only at the central spaxel. Dionatos et al. (2009) calculated a visual extinction (AV) of 11 and 32 mag toward MM(A) and MM(B), respectively, using the 9.7 μm silicate absorption feature of the IRS spectra. These AV values attenuate line fluxes by less than 10% at λ ⩾ 60 μm. Therefore, we did not correct for the reddening in line fluxes.

Figure 5.

Figure 5. Herschel/PACS continuum-subtracted spectra extracted from all 25 spaxels. The emission lines are marked: CO (red dashes), OH (green dashes), and H2O (blue dashes).

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Figure 6.

Figure 6. CO emission lines (red vertical dashed lines) detected in L1448-MM. These spectral line are determined from the central spaxel spectrum, in order to present all detected line transitions. Emission lines of other species located close to the CO lines are also marked with different colors (green for OH, blue for p-H2O, and dark blue for o-H2O). The rotational transition of each line is noted on the upper left side of each box. The J = 13–12 line has an artificially lower flux due to a factor of ∼2 decrease in sensitivity at the edge of the PACS array, and this line is not used in subsequent models.

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Figure 7.

Figure 7. Same as Figure 6 but for OH lines.

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Figure 8.

Figure 8. Same as Figures 6 and 7 but for o-H2O lines.

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Figure 9.

Figure 9. Same as Figures 67, and 8 but for p-H2O lines.

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Table 1. Detected Lines in the Herschel/PACS Spectrum of L1448-MM

Species Transition Eu Aul λ Flux (10−18 W m−2)
(K) (cm−1) (μm) 5 ×5a (A)b (B)c
CO 40–39 4512.67 0.00461300 65.69 67 ± 26 77 ...
  39–38 4293.64 0.00436500 67.34 60 ± 19 55 ...
  38–37 4079.98 0.00412000 69.07 74 ± 22 67 ...
  37–36 3871.69 0.00387800 70.91 61 ± 25 58 ...
  36–35 3668.78 0.00363800 72.84 104 ± 39 104 ...
  35–34 3471.27 0.00340400 74.89 91 ± 27 166d ...
  34–33 3279.15 0.00317500 77.06 123 ± 36 88 ...
  33–32 3092.45 0.00295200 79.36 83 ± 27 ... ...
  32–31 2911.15 0.00273500 81.81 121 ± 36 110 12
  30–29 2564.83 0.00232100 87.19 172 ± 54 117 45
  29–28 2399.82 0.00212600 90.16 214 ± 64 139 40
  28–27 2240.24 0.00194000 93.35 214 ± 65 167 38
  27–26 2086.12 0.00176100 96.77 229 ± 75 182 ...
  25–24 1794.23 0.00143200 104.44 195 ± 56 152 59
  24–23 1656.47 0.00128100 108.76 234 ± 68 203 65
  22–21 1397.38 0.00100600 118.58 288 ± 81 217 77
  21–20 1276.05 0.000883300 124.19 328 ± 92 236 90
  20–19 1160.20 0.000769500 130.37 350 ± 99 256 100
  19–18 1049.84 0.000665000 137.20 381 ± 108 259 128
  18–17 944.970 0.000569500 144.78 422 ± 120 294 122
  17–16 845.590 0.000482900 153.27 433 ± 123 300 146
  16–15 751.720 0.000405000 162.81 503 ± 142 318 206
  15–14 663.350 0.000335400 173.63 547 ± 155 373 222
  14–13 580.490 0.000273900 186.00 507 ± 144 303 211
OH $\frac{1}{2}$, $\frac{9}{2}$$\frac{1}{2}$, $\frac{7}{2}$ 875.100 2.18200 55.89 87 ± 32 70e ...
    875.100 2.17500 55.95 88 ± 33 70e ...
  $\frac{3}{2}$, $\frac{9}{2}$$\frac{3}{2}$, $\frac{7}{2}$ 512.100 1.27600 65.13 312 ± 96 332 ...
    510.900 1.26700 65.28 141 ± 41 129 ...
  $\frac{1}{2}$, $\frac{7}{2}$$\frac{1}{2}$, $\frac{5}{2}$ 617.600 1.01400 71.17 100 ± 29 76 13
    617.900 1.01200 71.22 101 ± 29 76 13
  $\frac{1}{2}$, $\frac{1}{2}$$\frac{3}{2}$, $\frac{3}{2}$ 181.900 0.0360600 79.12 190 ± 59 172 26
    181.700 0.0359800 79.18 167 ± 49 154 39
  $\frac{3}{2}$, $\frac{7}{2}$$\frac{3}{2}$, $\frac{5}{2}$ 290.500 0.520200 84.60 251 ± 73 207 29
  $\frac{1}{2}$, $\frac{3}{2}$$\frac{3}{2}$, $\frac{5}{2}$ 270.200 0.00927000 96.31 37 ± 21 ... ...
    269.800 0.00925000 96.37 15 ± 17 ... ...
  $\frac{3}{2}$, $\frac{5}{2}$$\frac{3}{2}$, $\frac{3}{2}$ 120.700 0.138800 119.23 202 ± 57 124 77
    120.500 0.138000 119.44 249 ± 73 145 102
  $\frac{1}{2}$, $\frac{3}{2}$$\frac{1}{2}$, $\frac{1}{2}$ 270.200 0.0648300 163.12 53 ± 16 46 7
    269.800 0.0645000 163.40 58 ± 17 49 2
p-H2O 431–322 552.300 1.45200 56.33 89 ± 42 81 ...
  919–808 1324.00 2.48600 56.77 125 ± 39 ...f ...
  422–313 454.300 0.378500 57.64 120 ± 37 151 ...
  726–615 1021.00 1.33800 59.99 69 ± 24 ...f ...
  808–717 1070.60 1.74200 63.46 61 ± 23 84 ...
  331–220 410.400 1.22200 67.09 137 ± 41 94 24
  524–413 598.800 0.667900 71.07 131 ± 40 123 ...
  717–606 843.800 1.17800 71.54 96 ± 28 88 ...
  615–524 781.100 0.452600 78.93 96 ± 32 108 ...
  606–515 642.700 0.713200 83.28 165 ± 48 156 7
  322–211 296.800 0.352400 89.99 298 ± 95 233 39
  515–404 469.900 0.446000 95.63 276 ± 78 238 43
  220–111 195.900 0.260700 100.98 342 ± 117 ...f ...
  404–313 319.500 0.172700 125.35 285 ± 81 209 54
  331–322 410.400 0.0784800 126.71 24 ± 8 ... ...
  313–202 204.700 0.125100 138.53 520 ± 147 371 181
  413–322 396.400 0.0331600 144.52 124 ± 38 127 9
  322–313 296.800 0.0524600 156.19 239 ± 70 202 38
  413–404 396.400 0.0372600 187.11 32 ± 13 ... ...
o-H2O 432–321 550.400 1.37400 58.70 184 ± 53 177 39
  818–707 1070.70 1.75100 63.32 210 ± 67 199 ...
  716–625 1013.20 0.950800 66.09 125 ± 43 139 ...
  330–221 410.700 1.24300 66.44 259 ± 76 221 41
  330–303 410.700 0.00850500 67.27 127 ± 37 124 18
  707–616 843.500 1.15700 71.95 276 ± 80 257 24
  321–212 305.300 0.331800 75.38 617 ± 176 416 152
  423–312 432.200 0.483800 78.74 522 ± 147 424 82
  616–505 643.500 0.749100 82.03 417 ± 118 359 45
  625–616 795.500 0.174000 94.64 113 ± 32 65 ...
  441–432 702.300 0.152800 94.71 68 ± 19 57 ...
  505–414 468.100 0.390200 99.49 547 ± 170 366 99
  514–423 574.700 0.156600 100.91 247 ± 90 192 ...
  221–110 194.100 0.256400 108.07 735 ± 210 419 296
  432–423 550.400 0.122900 121.72 52 ± 15 52 13
  423–414 432.200 0.0808400 132.41 173 ± 50 123 33
  514–505 574.700 0.0757900 134.93 70 ± 22 50 13
  330–321 410.700 0.0661900 136.50 117 ± 34 99 13
  532–523 732.100 0.0817400 160.51 48 ± 14 ... ...
  303–212 196.800 0.0504800 174.63 824 ± 233 510 355
  212–101 114.400 0.0559300 179.53 1173 ± 334 615 579
  221–212 194.100 0.0305800 180.49 337 ± 96 184 149
[O i] 3P13P2 227.712 0.0000891 63.18 922g ± 275 383 230
[O i] 3P03P1 326.579 0.0000175 145.53 84h ± 30 18 26

Notes. Emissions of CO and OH (84 μm) and CO and o-H2O (113 μm) are detected, but not measured since they are blended. CO J = 13–12 is detected but not included in our analysis because of low responsivity of PACS in this wavelength range. aFrom the whole 5 × 5 spaxel. bFrom the unresolved gas component located at the position of MM(A). cFrom the unresolved gas component located at the position of MM(B). dThe line in the spectrum extracted from the central spaxel seems contaminated by an unknown feature, which possibly increases the EW of the line. eThis rotation transition was not split in the spectrum extracted from the central spaxel while it was split in the spectrum extracted over 25 spaxels. fWe excluded the lines because the line shapes are too strange to be fitted by a Gaussian profile. gEW measured from four spaxels. hEW measured from three spaxels.

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CO transitions were detected from J = 13–12 up to J = 40–39. The highest OH transition is 2Π1/2 J = 9/2–7/2. Both lines of [O i] at 63 μm and 145 μm and 22 ortho- and 19 para-H2O lines were detected. No H$_2^{18}$O or 13CO lines were detected. The upper limits of H$_2^{18}$O (212–101) and 13CO (15–14) are 1.70 × 10−17 and 1.73 × 10−17 W m−2, respectively. Assuming $[^{16}\rm O]/[^{18}\rm O] = 550$ and $[^{12}\rm C]/[^{13}\rm C]=90$, the upper limits of optical depth of 12CO (15–14) and H$_2^{16}$O (212–101) are about 3 and 8, respectively, in the assumption of equal excitation temperatures for the isotopologues.

3.3. The PACS and IRS Maps: Distribution of Continuum and Line Emission

Figure 3 compares the IR image in the Spitzer IRAC band 2 with the SRAO CO J = 2–1 outflow map. The footprint of PACS is marked on the image. The IRAC 2 image shows a jet-like structure along a NW and SE path. The SRAO CO J = 2–1 outflow falls along this axis. The jet-like structure is more prominent to the NW in the IRAC 2 image. Nisini et al. (2000) noted that the adjacent area of the southern lobe has a higher visual extinction than that of northern lobe.

Figure 10 shows the distribution of continuum emission at 67 μm and 190 μm, extracted from the PACS data cube, compared to the MIPS 1 image. The continuum peaks close to MM(A) and slightly extends to MM(B), which is probably due to the contribution of MM(B) in the dust continuum. These two sources were decomposed into the continuum emission as described in Section 3.2.

Figure 10.

Figure 10. Contour maps of continuum emission at 67 μm and 190 μm on top of the MIPS 1 (gray image). In each map, contour levels are 20%, 30%, 50%, and 90% of the peak flux. The crosses indicate the locations of the 5 × 5 spaxels. The submillimeter positions of MM(A) and MM(B) (Jørgensen et al. 2006) are marked as yellow cross and star, respectively.

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From Figure 11 to Figure 15, the maps of selected lines are presented. In each figure, a contour map is overlaid on the spectral map. Two transitions are selected for each species to study the spatial variation in the emission lines depending on energy level or wavelength; lines representing higher energy levels concentrate on spaxel C while lines of lower energy levels peak 4''–5'' toward the south. In addition, the low energy lines tend to distribute more broadly compared to lines from high energy levels. CO (J = 14–13, 186 μm), OH (2Π3/2 J = 5/2–3/2, 119 μm), o-H2O ($J_{K_{-1},K_1}$ = 212–101, 179 μm), p-H2O ($J_{K_{-1},K_1}$ = 313–202, 138 μm), and [O i] (3P13P2, 63 μm) are the most evident examples of the spatially broadened distribution. The broad distribution of line emission at longer wavelengths could be real or the effect of the larger PSF at longer wavelengths. Nevertheless, the distribution of [O i] emission appears to be significantly different from the other species as the line flux of the southernmost spaxel is as strong as that at the spaxel S, indicating a relatively flat emission profile over several spaxels.

Figure 11.

Figure 11. Left: the contour map of the CO J = 34–33 line flux on top of its spectrum map. The upper level energy is 3279 K. Right: the same map but for CO J = 14–13. The upper level energy is 580 K. The red contour levels are 20%, 30%, 50%, and 90% of the peak flux, but one more blue(right) contour is for 10 % of the peak flux to present the extended emission better.

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Figure 12.

Figure 12. Left: the same maps as in Figure 11 but for o-H2O $J_{K_{-1},K_1}$ = 432–321. The upper level energy is 550 K. Right: the same map but for o-H2O $J_{K_{-1},K_1}$ = 212–101. The upper level energy is 114 K.

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Figure 13.

Figure 13. Left: the same maps as in Figure 11 but for p-H2O $J_{K_{-1},K_1}$ = 606–515. The upper level energy is 643 K. Right: the same map but for p-H2O $J_{K_{-1},K_1}$ = 313–202. The upper level energy is 205 K.

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Figure 14.

Figure 14. Left: the same maps as in Figure 11 but for OH 2Π3/2 J = 9/2–7/2. The upper level energy is 512 K for J = 9/2–7/2+ and 511 K for J = 9/2+–7/2. Right: the same map but for OH 2Π3/2 J = 5/2–3/2. The upper level energies are 121 K for both J = 5/2–3/2+ and J = 5/2+–3/2.

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Figure 15.

Figure 15. Same maps as in Figure 11 but for [O i] 3P13P2. The upper level energy is 228 K.

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The line emission does not necessarily correspond to continuum sources spatially. However, the line emission (except for [O i] lines) is the strongest at the spaxels C and S as is the continuum emission. In addition, the peaks of the contour maps both in continuum and line emission are shifted to the south of MM(A) similarly. Therefore, the line emission might originate from two unresolved gas components located at spaxels C and S. In order to test this idea, we decomposed the line fluxes with the same method as used in the decomposition of the continuum (Section 3.2) by assuming that two unresolved gas components are located at the same positions of MM(A) and MM(B), which is not necessarily true. The decoupled line fluxes are listed in Table 1. Interestingly, the sum of the decomposed molecular line fluxes is consistent with the total fluxes over 25 spaxels within errors while the total [O i] 63 μm flux over 25 spaxels is greater than the sum of the decomposed fluxes by a factor of ∼2. Therefore, for CO, OH, and H2O, the extended emission beyond these two spaxels is mostly caused by the PSFs of the two unresolved gas components while [O i] emission is indeed extended. Figure 15 also shows the elongated emission along the outflow direction, which indicates that the extended [O i] emission is connected to the outflow.

Figure 16 presents IRS line maps of the rotational transitions of H2 compared with PACS emission lines and the IRAC 4.5 μm image. The H2 emission is not spatially coincident with the FIR emission. H2 emission is detected primarily from the blueshifted outflow to the north, where n(H2) is higher and AV is lower (Nisini et al. 2000; Dionatos et al. 2009), while the extended [O i] emission seems to originate from the position of the redshifted outflow to the south. Therefore, this overall feature of the mid-IR (MIR) and FIR emission suggests that the outflow source is located rather close to the surface of the associated molecular cloud. As a result, the column density of shocked material in the blue component is not large enough to block the MIR emission while the column density of shocked material in the red component is large enough to obscure the MIR emission and to produce the strong FIR emission line.

Figure 16.

Figure 16. Contour maps (blue) of the H2 rotational transitions superimposed on Spitzer 4.5 μm image or PACS contour maps of CO, OH, o-H2O, [O i], and 190 μm continuum emission (gray scale). PACS contours have levels of 0.2, 0.3, 0.5, 0.9 times of the peak flux. H2 contours start at 10−21 W cm−2 and increase by 10−21 W cm−2.

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4. ANALYSIS

In order to understand the physical conditions of the gas emitting the detected FIR lines, we utilize two analysis methods: the rotational diagram and the non-LTE large velocity gradient (LVG) code, RADEX. The rotational diagram has been conventionally adopted to provide rough idea of a temperature, which is called rotational temperature and used to explain the relative observed line intensities of a molecular species. However, the LVG analysis can provide more detailed physical conditions such as the kinetic temperature, which is not always the same as the rotation temperature, and the density of the gas.

4.1. Rotational Diagrams

This simple excitation analysis assumes that the lines are optically thin. If the populations can be fitted with a single line, the level populations can be characterized by a single temperature (Trot). In the case of LTE, Trot is the same as the kinetic temperature of the gas. A detailed description for this rotation diagram can be found in Green et al. (2013) as well as Goldsmith & Langer (1999). In order to produce rotational diagrams, we used the total flux over 25 spaxels as well as the decomposed fluxes for the two unresolved gas components (accidentally) located at the positions of MM(A) and MM(B). The two unresolved gas components are designated as (A) and (B) hereafter. (Here, we note again that the two gas components, (A) and (B) are not necessarily associated with the two continuum sources, MM(A) and MM(B).)

The ISO beam and the HIFI beam were too big to resolve (A) and (B) at all. However, due to the much better resolution of PACS, we could decompose the fluxes of (A) and (B) to produce the rotation diagrams for both gas components separately. The errors of the total flux extracted from the whole 25 spaxels are listed in Table 1 while those of the decomposed fluxes are assumed to be 20% of the fluxes. Since we do not know the actual emitting area of each molecule, we use the total number of molecules ($\mathcal {N}$) instead of column density. The results of our rotational diagram analysis are summarized in Table 2.

Table 2. Summary of the Rotation Diagram Analysis

Species Component 5 × 5 (A) (B)
Trot $\mathcal {N}$(molecule)a Trot $\mathcal {N}$(molecule)a Trot $\mathcal {N}$(molecule)a
(K) (1047) (K) (1047) (K) (1047)
CO Hot 758 ± 54 65 ± 19 854 ± 42 55 ± 10 455 ± 37 31 ± 13
  Warm 293 ± 30 275 ± 98 314 ± 24 164 ± 41 250 ± 15 136 ± 34
H2O Para 168 ± 6 0.06 ± 0.01 150 ± 5 0.06 ± 0.01 74 ± 3 0.06 ± 0.01
  Ortho 144 ± 5 0.24 ± 0.03 154 ± 4 0.15 ± 0.02 88 ± 2 0.13 ± 0.02
OH 2Π3/2-2Π3/2 115 ± 9 0.076 ± 0.020 136 ± 9 0.044 ± 0.008 ...b ...b
  2Π1/2-2Π1/2 114 ± 7 0.040 ± 0.013 120 ± 4 0.027 ± 0.005 ...b ...b

Notes. aThe total number of molecules. bThe number of data points for this fitting is not large enough for a meaningful result.

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4.1.1. CO

The rotational CO ladder seems to contain a break at Eu∼ 1500 K (Figure 17). Therefore, we fitted the rotational diagram with two components. High-J CO lines (Eu > 1500 K) are fitted by Trot of 750–850 K and $\mathcal {N}$(CO) ∼6 × 1048 for the total fluxes and the fluxes of (A) while they are fitted by a lower Trot of ∼450 K with $\mathcal {N}$(CO) ∼3 × 1048 for the fluxes of (B). (According to Green et al. (2013), the break position between the two components does not affect the result much.) Low-J CO lines (Eu< 1500 K) are fitted by a Trot of ∼300 K for the total fluxes measured over all 25 spaxels, as well as for the fluxes of (A). In contrast, the fluxes of (B) are fitted by a lower Trot of ∼250 K. (The difference in the rotation temperature between (A) and (B) is much greater than the fitting errors.) Therefore, the gas at (A) seems hotter than the gas at (B). The total numbers of CO molecules for this warm component are much greater than those for the hot component; $\mathcal {N}$(CO) ∼ 2.8× 1049, 1.6× 1049, and 1.4 × 1049 for the total fluxes, (A), and (B), respectively (see Table 2).

Figure 17.

Figure 17. CO, H2O, and OH rotation diagrams with the total fluxes, in units of total number of detected molecules $\mathcal {N}$ divided by degeneracy g. Left: the CO rotation diagram shows two distinct populations with a break around 1500 K in energy. Center: H2O rotation diagram. p-H2O and o-H2O are fitted separately (purple and green are for p-H2O and o-H2O, respectively.). Right: in the OH rotation diagram, two ladders are fitted separately (purple is for 2Π3/2, and green is for 2Π1/2).

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The warm (T ∼ 300 K) and hot (T ∼ 1000 K) CO gas components have been explained by a combination of photodissociation regions (PDRs) and shocks (Visser et al. 2012). According to the scenario, the UV radiation from the central object can heat the outflow cavity walls up to 300–400 K, but shocks are necessary to heat the gas to emit at high-J CO transitions of Eu > 1500 K. However, recent PACS surveys of YSOs (Manoj et al. 2013; Karska et al. 2013) show that the UV heating along the cavity wall is a minor contributor to the excitation of the FIR CO fluxes. In addition, a more self-consistent two-dimensional PDR model developed by S.-H. Lee et al. (in preparation) also shows that the UV heated outflow cavity wall cannot produce the rotational temperature of 300 K, which is universally fitted by the PACS low-J CO lines (Eu< 1500 K), especially in Class 0 sources. Therefore, shocks seem to be the predominant heating source in these embedded YSOs.

4.1.2. H2O

Because of the different possible orientations of the spins of H atoms, H2O has two kinds of states, ortho- and para-H2O; in equilibrium above a threshold ambient temperature and critical density, the ratio of degeneracies of states is 3:1, accounting for the state degeneracies. Compared to CO and OH, H2O shows increased scatter in its rotational diagram (Figure 17), probably because the water lines are usually sub-thermal due to their high critical densities or have different opacities.

For the rotational diagram based on the full array fluxes, the o-H2O transitions are fitted by Trot = 144 ± 5 K and $\mathcal {N}$(H2O) = (2.4 ± 0.3) × 1046 while p-H2O transitions are fitted by Trot = 168 ± 6 K and $\mathcal {N}$(H2O) = (6.2 ± 0.9) × 1045. We also separated (A) and (B) in the rotational diagram, and the results are listed in Table 2. The rotational temperatures calculated from water lines are much lower than those calculated from CO lines. If two species coexist in the same physical conditions, the derived rotational temperatures indicates the sub-thermal conditions of water lines. Therefore, in order to study the physical conditions of the gas associated with water lines, we have to utilize a non-LTE calculation.

In (A) and (B), $\mathcal {N}$(o-H2O)/$\mathcal {N}$(p-H2O) is greater than 2. Considering the optical depth effect, it is not very different from 3. Therefore, this may indicate that water formed at a temperature high enough for H2O to be in spin equilibrium, or the timescale is long enough to equilibrate the ortho-to-para ratio of water after it evaporates from grain surfaces. The rotation temperature for (A) is higher than (B), consistent with our results from CO in the previous section.

4.1.3. OH

The spin–orbit interaction of OH results in two separate ladders of rotational levels denoted as follows: 2S + 1ΛJ = 2Π1/2 and 2Π3/2. Each rotational level is split by Λ doubling and hyperfine structure (Offer et al. 1994). In the PACS spectra, typically the transitions between different Λ doublet levels are resolved while the hyperfine structure is not resolved, although in some cases even the ladder transitions are blended. When the total fluxes extracted from 5 × 5 spaxels are used, lines in the 2Π3/2 ladder are fitted to Trot = 115 ± 9 K with $\mathcal {N}$(OH) = 7.6 ± 2.0 × 1045, while the 2Π1/2 transition lines are fitted to Trot = 114  ±  7 K with $\mathcal {N}$(OH) = 4.0  ±  1.3 × 1045 (Figure 17). Two ladders have different y-intercepts in the rotational diagram, and $\mathcal {N}$(2Π1/2)/$\mathcal {N}$(2Π3/2) is ∼0.6, suggesting that OH lines may not be optically thin, or the OH gas is not thermalized. (The ratio of partition functions of the two ladders is ∼0.15 at T = 115 K.) Non-thermal effects might contribute to OH emission lines if the OH lines are optically thin.

According to Wampfler et al. (2010), radiative pumping via the cross ladder transitions is more important in the population of the 2Π1/2 levels while transitions in the 2Π3/2 ladder are mostly excited by collisions. To test the idea, we produced an LVG model including the FIR continuum radiation from the central source as a non-thermal effect. The result is presented in next section. We also fitted line fluxes for (A) and (B), separately as done for CO and H2O. However, the number of OH lines for (B) is not large enough for a meaningful fitting. The results are summarized in Table 2.

4.2. RADEX Models of CO, H2O, and OH Emission

According to the rotation diagrams, the gas component (A) located at the central spaxel has higher rotational temperatures and total molecular numbers compared to the gas component (B) located at the spaxel, S. However, the rotational diagrams cannot provide detailed information on kinetic temperatures and densities of the two gas components. In addition, we know that those spatially distinct gas components have different kinematical components based on earlier studies (Bachiller et al. 1990; Dutrey et al. 1996; Nisini et al. 2000, 2013; Kristensen et al. 2011) although our PACS spectrum does not resolve the complex kinematics.

Therefore, we used a non-LTE LVG model, RADEX (van der Tak et al. 2007), to connect different physical conditions to the two spatially distinct components. In the model, the level populations are determined by three physical parameters: the gas temperature $T \rm _K$, the H2 density n(H2), and the column density of a molecule divided by the line width, Δv. With RADEX, we explore a wide range of physical conditions to interpret observed line ratios. For molecular data, the LAMDA database (Schoier et al. 2005) was used (Offer et al. 1994; Faure et al. 2007; Yang et al. 2010).

First, we upgraded RADEX8 with the subroutine, "newt" (Press et al. 1992; Yun et al. 2009), which is a globally used convergent Newton method, because the downloadable RADEX code sometimes does not easily converge to the solution for H2O and OH lines. Second, for the OH and H2O molecules, we tested the importance of radiative pumping by replacing a part of the cosmic background radiation with a blackbody radiation field emitted from the inner boundary of the envelope: ${\rm BACK}=W \times {\rm BB}({T})+\it (1-W)\times {\rm BB}\rm {(2.7K)}$, where BB(T) is the Planck function of temperature T, and W is the filling factor of an inner source. Kristensen et al. (2012) adopted the inner boundary temperature of 250 K from Jørgensen et al. (2002) for their best-fit envelope model of L1448-MM with a power-law density structure described with $n=n_{0}\times (\frac{r}{r_0})^{-1.5}$ (n0 = 1.3 × 109 cm−3, r0 = 20.7 AU). (The temperature at the inner boundary is not well constrained because it has been derived based on the continuum at the wavelengths of 60 μm to a few millimeters, which is dominated by the outer cold envelope.) We assumed that the radiation emitted from the inner boundary of the envelope traveled through the outflow cavity to reach a position in the outflow cavity wall without much attenuation. If we assume a characteristic density at the position where the radiation lands, the radius (r) from the center to that position can be found from the envelope density profile. Therefore, W = (1 − cosθ) × (1/2), where θ = sin−1(r0/r), assuming a spherical central radiation source. Finally, the observed intensity is $I=[{\rm BB}(T\rm _{ex}) - \it {\rm BB} \rm (2.7 \,K)] \times (1- \it {\rm exp}(-\tau))$, where $T\rm _{ex}$ and τ are the excitation temperature and the optical depth for each transition, respectively; we assumed that the IR source is not located along the line of sight when deriving line fluxes since the contribution of the flux affected by the IR source (through absorption) to the total flux within a spaxel is negligible.

4.2.1. CO

According to the rotation diagram, CO fluxes of both (A) and (B) seem to require multiple gas components, so we tested three combinations of physical components of gas (one gas component, two gas components, and the gas with a power-law temperature distribution) in order to check whether the non-LTE calculation also shows the same conclusion. We fitted the observed PACS fluxes of (A) and (B), separately, assuming that all gas components contribute to the total flux equally. In this test, we adopted the line width (60 km s−1) of the broad component, which was detected in the HIFI observations (Kristensen et al. 2011) and contributed dominantly to the HIFI fluxes. In order to find the best model, we compared flux ratios since we do not know the actual size of the line emitting source. We scaled total model flux to total observed flux and calculated reduced χ2. The best-fit models for three different combinations of gas conditions are summarized in Table 3.

Table 3. The Best-fit LVG Model Parameters for Three Different Combinations of Gas Components

Species Spatial One Component   Two Components   Power Law  
Tkin n(H2) N(mole) χ2 Tkin n(H2) N(mole) χ2 n(H2) b N(mole) χ2
Component (K) (cm−3) (cm−2) (K) (cm−3) (cm−2) (cm−3) (cm−2)
CO A 5000 105 1.9 × 1014 2.41 5000 106 1.9 × 1011 0.92 2.51 × 107 2.95   1.26
            5000 104 6.0 × 1013          
  B 4000 104 1.9 × 1018 0.67 5000 104 6.0 × 1018 0.46 6.31 × 106 3.30   0.73
            2000 107 1.9 × 1016          
H2O A 2000 106 6.3 × 1017 6.58 100 105 6.3 × 1018 4.71 2.51 × 107 0.0 1013 8.38
            5000 108 6.3 × 1014          
  B 700 107 6.3 × 1015 7.95 1000 105 6.3 × 1017 4.18 6.31 × 106 3.2 1013 21.00
            300 104 6.3 × 1016          
OH A 125 2 × 108 5.0 × 1017 4.67                

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According to Neufeld (2012), the PACS CO data can be fitted by one component with a high temperature (TK∼ 3000 K) and low density (n ∼ 104–5 cm−3). However, the modeled rotation diagram of (A) with one component shows lower curvature compared to the observed one although the CO fluxes of (B) seems fitted well with the gas model with TK= 4000 K and n = 104 cm−3 (see Figure 18).

Figure 18.

Figure 18. Best-fit LVG models for CO lines of (A) (top) and (B) (bottom), respectively. For (B), 84 μm line is excluded in the fitting. The first column shows the one-component model, the second column shows the two-component model, and the third column shows a model with a power-law temperature distribution. The reduced χ2 for each model is presented inside boxes.

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The two gas components can fit better the CO fluxes of both (A) and (B); the two temperatures for (A) are both 5000 K while the two temperatures for (B) are 5000 K and 2000 K. In the model with a power-law temperature distribution, (A) and (B) have a similar power index, b (∼3), but the density for (A) is about four times higher compared to (B). This test shows that multi-components of gas can explain better the fluxes of both (A) and (B), and the high temperatures derived from the LVG models indicates shock origin.

4.2.2. H2O

We also tested the three different combinations of gas components for the H2O lines adopting the line width of 50 km s−1, which is the velocity of the broad component detected by Kristensen et al. (2011), for all components. As for CO lines, the two-component model fits better than the single-component model for both (A) and (B) although the single-component model still fits the observed fluxes reasonably (Figure 19). In the single-component model, (A) requires a higher kinetic temperature (2000 K) than (B) (700 K) while the density for (A) is lower than that for (B). The best-fit model with a power-law temperature distribution for (A) has b = 0, indicative of hot gas components are dominant emitter for the water lines. However, the χ2 of this model is much worse than the one- or two-component model because this model assumed that all lines are optically thin. The parameters for these best-fit models are summarized in Table 3.

Figure 19.

Figure 19. Same as Figure 18 but for H2O.

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4.2.3. OH

For OH, we fitted fluxes only of (A) since the majority of emission is from spaxel C, except for the 119 μm doublet. In addition, the collision rates for OH are available only up to T = 300 K. As a result, we modeled OH fluxes with a single physical component.

We explored models within the following parameter space: 50 <T < 250 K, $10^3 < \it n(\rm H_2) < 1.3\times 10^{9}$ cm−3, and 5× 1011 < N(OH) < 5 × 1017 cm−2. We assumed a line width of 50 km s−1, which is appropriate for the broad component of H2O gas (Kristensen et al. 2011). Since it has been suggested that the FIR radiation field can play an important role in the excitation of OH, we included it in our model, as described in the first part of this section. Although we considered only attenuated emission from the central source as the FIR radiation source without considering the FIR radiation from the surrounding material in situ, the model including the effect of the FIR radiation in the OH excitation can fit the observed fluxes better.

Figure 20 (left) presents our best-fit OH model, where the FIR radiation plays a role in the excitation of OH. In the model, the temperature is 125 K, the H2 density is 2×108 cm−3, and the OH column density is 5×1017 cm−2. As described in the very first part of this section, this density would be reached at a radius of 72 AU in the adopted one-dimensional density profile. Therefore, the 250 K blackbody radiation field is diluted to the position of the envelope. To examine the effect of FIR radiation on OH fluxes, we compared the same model without the FIR radiation effect in Figure 20 (right). At lower energy levels, the radiation effect is not prominent, but it makes a significant difference at the highest energy level transition; the flux at the highest energy level (Eu = 875 K) in the model with IR-pumping is greater by a factor of five compared to the flux derived from the model without IR-pumping.

Figure 20.

Figure 20. Best models of OH in (A). The circles represent observed fluxes while the red diamonds display model fluxes. Left: the best-fit LVG model with the IR-pumping effect included (χ2 ∼ 4.7). The observed fluxes can be well fitted when the central IR radiation is considered in the OH level populations. Right: the same model as the best-fit model but excluding the IR radiation effect (χ2 ∼ 6.9). The line flux at the observed highest energy level is underproduced in the model without IR-pumping.

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Although the IR effect is important for the high energy level transition, the overall fluxes are not affected much. The difference between y-intercepts of 2Π3/2 and 2Π1/2 ladders, therefore, in the rotational diagram should have other causes. Figure 21 shows the excitation temperature and optical depth of each transition in the best-fit model. The kinetic temperature of the model is marked as a blue dashed line in the left box. All transitions are sub-thermal, and 2Π3/2 lines are extremely optically thick compared to 2Π1/2 transitions. Therefore, the higher optical depth of 2Π3/2 compared to 2Π1/2 results in the separation (i.e., different y-intercepts) of two ladders in the rotational diagram, where a constant temperature (Trot) and the optically thin case are assumed. Figure 21(c) shows the actual level populations of the best-fit model, which results in equal populations for the two spin states. Therefore, the separation of two ladders in the rotational diagram is caused both by optical depth effect and IR-pumping.

Figure 21.

Figure 21. Excitation temperature (a), optical depth (b), and level population (c) of each line in the best-fit OH model with IR-pumping for (A). The blue dashed line in (a) indicates the kinetic temperature of this model. In (c), the upper level population is divided by the statistical weight of the upper level.

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4.3. Comparison with Shock Models

Based on the ISO observations, Nisini et al. (2000) concluded that the CO, H2O, H2, and [O i] IR emission in L1448-MM is caused by a non-dissociative shock with a low velocity, and the kinetic temperature of the shocked gas is about 1200 K. The CO and H2O line profiles are also very broad (FWHM ∼50 km s−1), strongly suggesting that the associated gas is related to shocks (Kristensen et al. 2011; Nisini et al. 2013). In addition, interferometric observations and analysis of the EHV features in L1448-MM show that they are likely jet-shock features (Hirano et al. 2010). Therefore, the derived excitation conditions and resolved kinematical components infer that shocks play an important role in L1448-MM.

The shocks produced by the interaction between the outflow and the envelope heat the gas, resulting in emission. Since the shock could dissociate the gas in the dense envelope, which consists mainly of molecular gas, the shock could change relative abundances among the species H2, H, O, CO, and H2O. Therefore, the relative intensities of these emission lines are indicative of the type and speed of the shock waves and of the physical conditions in the gas. We compared our line fluxes to the calculation by Flower & Pineau des Forêts (2010) for both C- and J-shocks. In the comparisons, we consider a single physical component for all the emission. The calculations by Flower & Pineau des Forêts (2010) cover shock velocities from 10 to 40 km s−1 (the shock with 40 km s−1 is only for the C-shock) and hydrogen densities n(H) of 2 × 104 ∼ 2 × 105 cm−3. The magnetic field strength in the pre-shock gas is given as b[n(H)(cm−3)]1/2 μG, with b = 1 in the C-shock and b = 0.1 in the J-shock.

The relative CO line fluxes of (A) are well matched by the J-shock model with n(H2) = 2 × 104 cm−3 and v = 20 km s−1. The C-shock model with n(H2) = 2 × 105 cm−3 and v = 40 km s−1 also reproduces the observed line flux ratios reasonably well. In the case of (B), the relative line fluxes are well fitted by the C-shock model with n(H2) = 2 × 105 and v = 40 km s−1 (Figure 22). The diameter of emitting areas derived from these models are about 1000–2000 AU.

Figure 22.

Figure 22. Comparisons of observed CO line fluxes with shock model fluxes (left for the best-matched C-shock model and right for the best-matched J-shock model.) The model parameters of density and velocity are presented at the top of boxes. χ2 and the emitting areas to fit the observed fluxes are presented inside boxes.

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The relative H2O line fluxes of (A) are well matched by the C-shock model with n(H2) = 2 × 105 cm−3 and v = 40 km s−1. For (B), the C-shock model with n(H2) = 2 × 104 cm−3 and v = 20 km s−1 and the J-shock model with n(H2) = 2 × 105 cm−3 in v = 20 km s−1 and 30 km s−1 fit well the observed flux ratios (Figure 23). When we consider that H2O line fluxes are highly scattered, (B) can be also explained by the shock model for (A). In that case, the relative fluxes of CO and H2O at both (A) and (B) are reproduced by the C-shock model with n(H2) = 2 × 105 and 40 km s−1, supporting the idea that H2O and CO are excited at the same physical conditions as suggested in Karska et al. (2013).

Figure 23.

Figure 23. Same plot as Figure 22 but for H2O (left for the best-matched C-shock models and right for the best-matched J-shock models).

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Due to its low upper level energy of 230 K, the [O i] 63 μm line is easily excited, and thus, it is an important cooling channel in the post-shock region. As a result, it is one of the best tracers of shocks in dense environments (Giannini et al. 2001). We calculated the [O i] 63/145 μm ratio for (A) and (B), which are ∼22 and 9, respectively. In (A), flux ratio corresponds to low density C-shock model while flux ratio of (B) fits to a high density C-shock model as seen in Figure 24 (left). Therefore, the flux ratios of [O i] lines are consistent with the C-shock model.

Figure 24.

Figure 24. Line flux ratios as a function of shock conditions (Flower & Pineau des Forêts 2010). The shock parameters are the shock speed (km s−1) and pre-shock H2 density (cm−3). Solid lines and dashed lines represent C- and J-shock models, respectively. Diamonds refer to 2 × 104 cm−3 and triangles to 2 × 105 cm−3 of hydrogen density. Horizontal lines indicate the values of L1448-MM and vertical lines represent the uncertainties. Blue and red colors represent the flux ratios for (A) and (B), respectively. Left: the line flux ratio of [O i] 63 μm to 145 μm. Right: the line intensity ratios of [O i] 63 μm with respect to H2 S(5) 6.9 μm pure rotation transition. H2 fluxes are convolved with PACS spaxels.

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However, the [O i] flux is severely underestimated by the C-type shock models; an emitting region of >104 × 104 AU2, corresponding to >50 spaxels, would be required. Alternatively, more than 50 individual shocks would be required to generate this amount of emission. If a J-shock model is adopted (with v = 30 km s−1 and n(H2) = 2 × 104 cm−3 for (A) and 2 × 105 cm−3 for (B)), the emitting area is 300 × 300 AU2 (1/40 spaxel) for (A) and 400 × 400 AU2 (1/25 spaxel) for (B). Considering the spatial distribution of the [O i] emission covering more than four spaxels (Figure 15), neither a single C-shock nor a single J-shock can reproduce the [O i] absolute fluxes and extent, indicative of multiple shock components.

Flower & Pineau des Forêts (2010) also calculated several H2 line strengths under the same shock conditions and compared the intensities with those of [O i] emission. In (A), the ratio is fitted to a J-shock model with shock speed of 20–30 km s−1 and a low density C-shock model with $v\rm _{shock} <$ 20 km s−1 simultaneously (Figure 24). In (B), however, the observed fluxes cannot be compared with the model flux ratios since the H2 fluxes avoids the (B) position. Therefore, the ratio of [O i] to H2 emission could not constrain the shock characteristics in (B).

These comparisons suggest that a C-shock model can explain most of emission in L1448-MM, but the [O i] absolute fluxes and the [Si ii] emission detected in the IRS spectra indicate that a dissociative J-shock should also exist in this region. According to Neufeld & Dalgarno (1989), [Si ii] emission cannot be produced by a non-dissociative shock, but could be produced by either a dissociative shock or PDR. The dissociative shock tracers such as [Si ii] and [Fe ii] often go close together with non-dissociative shock tracers (e.g., Neufeld et al. 2009), and the dissociative apex of a bow shock that is flanked by non-dissociative shocks is suggested to explain this feature. Therefore, we cannot designate a single type of shock in the simple planar models for L1448-MM; we require more sophisticated multi-dimensional shock models with different initial conditions to explain the relative emission of each species in this complicated region.

4.4. Luminosities

Table 4 presents luminosities for the lines detected in L1448-MM as well as continuum. The total line luminosity accounts for only ∼0.7% of the total FIR luminosity in the PACS range. Therefore, the dominant cooling occurs by the continuum radiation. According to Nisini et al. (1999) and Giannini et al. (2001), the FIR line luminosities of L1448-MM calculated from the ISO observations are greater than what we derive from our PACS observations by factors of two to eight depending on species although the relative luminosities among different species are similar. However, ISO and PACS both show that the line cooling mainly occurs through H2O emission. In contrast, the FIR continuum luminosity obtained by ISO is much smaller than what derived by PACS by a factor of 20, resulting in a higher fraction of line luminosity to the continuum luminosity in FIR. These differences in luminosities between ISO and PACS are probably caused by the low sensitivity and large beam of ISO compared to PACS. In L1448-MM, molecular emission extends beyond the FOV of PACS. Therefore, the ISO beam, larger than the PACS FOV, possibly picked up a significant amount of the extended molecular emission.

Table 4. Luminosities in FIRa for the Full Map and Each Position

Species 5 × 5 (A) (B)
LCO 0.96 0.70 0.27
$L_{\rm H_2O}$ 1.73 1.21 0.39
LOH 0.34 0.30 0.05
LOI 0.17 0.07 0.04
Lcontinuum 430 349b 90b

Notes. aIn units of 10−2L. bThe FIR luminosities of MM(A) and MM(B).

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In the PACS line luminosity, CO, H2O, and OH emission arises mostly from (A); ∼70% of the total CO and H2O fluxes are emitted from (A), while (B) supplies ∼30% of the CO and H2O line cooling, and most of OH line emission (∼90%) is concentrated on (A). However, the sum of [O i] line luminosity of (A) and (B) has just ∼65% of the total luminosity calculated over the whole 5 × 5 spaxels, indicative of broadly extended emission in [O i]. If we assume that the gas components of (A) and (B) are associated with MM(A) and MM(B), respectively, the ratio of the FIR line luminosity in the PACS range to the bolometric luminosity (Lmol/Lbol) both for MM(A) and MM(B) is ∼4 × 10−3, indicating that both sources are in the Class 0 stage. According to Giannini et al. (2001), Lmol/Lbol > 1 × 10−3 for Class 0 objects while the ratio is smaller than 5 × 10−4 for Class I and II sources. According to our best-fit LVG models, H2O and CO emit the majority (>50%–80%) of their luminosity in the PACS wavelength range.

Table 5 shows the fractional contribution of each species to the FIR line luminosity as a total and in (A) and (B). van Dishoeck et al. (2011) suggested that H2O might not be the dominant coolant in YSOs. For L1448-MM, however, water is the primary outflow coolant and this is consistent with the results for the Class 0 protostar NGC 1333 IRAS 4B (Herczeg et al. 2012), where H2O is responsible for 72% of line luminosity. H2O occupies ∼50% and CO fills ∼30% of the line luminosity in the PACS wavelength range in L1448-MM. For CO, the warm ($E\rm _{u}<$ 1500 K) and hot ($E\rm _{u} >$ 1500 K) components are responsible for ∼65% and ∼35% of the CO line luminosity in the PACS range, respectively, based on the results of rotation diagrams. OH and [O i] contribute ∼10% and ∼5% of the line luminosity, respectively. In L1448-MM, the cooling through molecular emission is significantly larger than the cooling via atomic emission, which is consistent with the characteristic of the Class 0 YSOs (Nisini et al. 2002; Herczeg et al. 2012). Bright H2O emission and dim [O i] emission in L1448-MM is indicative of low dissociation rate of H2O, or the fast formation process of H2O in the post-shock gas. Alternatively, [O i] and H2O emission possibly arises from unassociated gas components, i.e., the [O i] emission is attributed to a more extended gas while the H2O emission is localized around the YSOs.

Table 5. Fractional Contribution to Total Line Coolinga for Full Map and Each Position

Species 5 × 5 (A) (B)
LCO 30% 31% 36%
$L_{\rm H_2O}$ 54% 53% 52%
LOH 11% 13% 7%
LOI 5% 3% 5%

Note. a$L_{\rm total, line}=L_{\rm H_2O}+L_{\rm CO}+L_{\rm OH}+L_{\rm OI}$.

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5. DISCUSSION

5.1. Multiple Sources in L1448-MM

Previously, L1448-MM was known as a single YSO with a prominent outflow. However, Jørgensen et al. (2007), Tobin et al. (2007), and Hirota et al. (2011) suggested the existence of a secondary YSO, named L1448-MM(B) while Maury et al. (2010) suggested that the secondary point-like source at Spitzer bands and 3 mm might be a result of a shock on the outflow cavity wall. However, we conclude that L1448-MM(B) is a YSO based on its millimeter SED (Figure 2) and the detection of the double peak structure of CO2 ice absorption feature at 15.2 μm (Figure 4) (Pontoppidan et al. 2008).

The SEDs (Figure 2) of MM(A) and MM(B) rising into the FIR indicate that both sources are very embedded. Hirano et al. (2010) suggested that MM(B) was likely less obscured in the MIR compared to MM(A). This is consistent with a much higher FIR flux level in MM(A) than in MM(B), indicating less material toward MM(B). From the separated SEDs and the photometric data points in Green et al. (2013), we calculated the bolometric luminosities (Lbol) of MM(A) and MM(B) as 5.5 and 1.7 L, respectively, which do not add up to Lbol of 8.4 L calculated over the whole region (Green et al. 2013). For the calculation, single-dish (sub)millimeter fluxes for two sources were separated based on the flux ratios derived from the interferometric observations. (The interferometric continuum fluxes were not included in the calculation of Lbol and Tbol although they do not affect the results at all.) The derived Lbol for each source is rather sensitive to this flux separation at (sub)millimeter. Therefore, it should not be considered very accurate. The calculated bolometric temperatures (Tbol) of MM(A) and MM(B) are 49 and 80 K, respectively, indicating that MM(A) is more embedded and in the earlier evolutionary stage. Lbol/Lsmm are 18.7 and 48.7 for MM(A) and MM(B), respectively, which also suggests that MM(A) is more embedded. Note that MM(B) is classified as Class I by Tbol but Class 0 by Lbol/Lsmm while MM(A) is classified as Class 0 by both criteria.

MM(A) is separated from MM(B) by 8farcs17 that is equivalent to ∼2000 AU. Mundy et al. (2001) divided embedded multiple systems into three groups: independent envelope, common envelope, and common disk systems. As seen in the submm continuum maps (Shirley et al. 2000), two sources seem associated with only one dense core. Therefore, L1448-MM may be a common envelope system which has one primary core in gravitational contraction, and where objects are separated by 250–3000 AU. Although the possible detection of the CO2 gas line at 14.98 μm (Dartois et al. 1999) toward MM(A) is indicative of a hotter region, the column density of CO2 ice, calculated from the IRS 15.2 μm CO2 ice feature, is ∼2 × 1018 cm−2 in both YSOs. This might also support the idea that they are in a common envelope.

5.2. Shocked Gas in L1448-MM

The outflow activity in the two sources appears significantly different. Hirano et al. (2010) has reported that the weak CO outflow possibly associated with MM(B) is nearly perpendicular to that of MM(A), and its small momentum flux is comparable to those of outflows by Class I objects. However, the MM(A) outflow elongates in the SE–NW direction. Since MM(B) is about 8'' south of MM(A), fluxes in spaxel S are likely contaminated by the outflow emission from the MM(A). The continuum emission of MM(A) is greater than that of MM(B) at λ ⩾ 20 μm. Lines of high energy levels also peak in the position of MM(A) while the emission peaks of lines of lower energy levels shift to the south. These features suggest that MM(A) may be the primary outflow source in the direction of SE–NW. Then the gas traced in our PACS observations may be heated predominantly by the jet/outflow driven by MM(A). If this is true, the molecular gas in (A) and (B) rather correspond to the blue and red wings of the L1448-MM(A) jet, which were detected by the CO and SiO transitions (Nisini et al. 2000, 2007; Hirano et al. 2010).

According to our excitation analyses of (A) and (B), the PACS FIR line fluxes are possibly produced mainly by shocked hot gas components, rather than by the UV-heated gas along the outflow cavity. According to Yildiz et al. (2010), up to J = 10–9, the contribution of the broad wing component increases with J, hinting that shocks may play a more important role in higher J transitions traced by the PACS. However, if the UV photons play an important role in this region, we should expect an enhancement of the [O i] and OH line fluxes compared to H2O. In order to check the relative emission among [O i], OH, and H2O, as done in Lindberg et al. (2013), we calculated the flux ratios between the OH (84 μm, Eu = 291 K) and o-H2O (75 μm, Eu = 305 K) lines, which have small PSFs and similar upper-level energies, as well as the flux ratios between [O i] (63 μm, Eu = 227 K) and o-H2O (66 μm, Eu = 410 K) lines, toward the DIGIT embedded sources (Figure 25). According to the comparisons, L1448-MM has the minimum flux ratios among the DIGIT embedded sources, supporting that the observed line emission in L1448-MM is mainly from shocks.

Figure 25.

Figure 25. OH and [O i] line fluxes relative to H2O line flux toward the DIGIT embedded sources (Green et al. 2013). Left: the flux ratio of the OH (84 μm, Eu = 291 K) and the o-H2O (75 μm, Eu = 305 K) Right: the flux ratio of the [O i] (63 μm, Eu = 227 K) and o-H2O (66 μm, Eu = 410 K). The minimal ratios for L1448-MM indicate that the photodissociation is not important in the region.

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Comparing to the recently observed Class 0 objects, NGC 1333 IRAS4B (hereafter IRAS4B) and Serpens SMM1 (hereafter SMM1), L1448-MM is similar to IRAS4B in molecular emission; water dominates in the line cooling and [O i] is dim. In addition, the best model for IRAS4B with the non-LTE analysis suggests the physical conditions of TK ∼ 1500 K and n(H2) ∼3 × 106 cm−3. In SMM1, however, CO is the main coolant and [O i] is relatively brighter than the other two sources, and the derived physical conditions are TK ∼ 800 K and n(H2) ⩾ 5 × 106 cm−3. Therefore, the derived physical conditions for L1448-MM are more similar to those of IRAS4B. In addition, [C ii] (158 μm) is detected in SMM1 but not detected in IRAS4B and L1448-MM. LOH/$L_{\rm H_2O}$ of L1448-MM and IRS4B are ∼0.2 while that of SMM1 is 0.4. LOI/$L_{\rm H_2O}$ are 0.06∼0.1, 0.01, and 0.6 for L1448-MM, IRS4B, and SMM1, respectively. Goicoechea et al. (2012) mentioned that the strong [O i] and OH emission toward SMM1 is similar to that of HH46, a Class I source (van Kempen et al. 2010a). Therefore, the FIR line emission in L1448-MM and NGC 1333 IRAS4B might have a similar origin, i.e., non-dissociative shocks shielded from UV radiation play a larger role in the excitation than dissociative shocks (Herczeg et al. 2012).

6. SUMMARY AND CONCLUSION

Contour maps show that FIR line emission from low energy levels is toward the south while H2 emission in the MIR peaks toward the north. Most of FIR molecular line emission is from the unresolved two gas components, (A) and (B), both of which might be heated by the jet shock of MM(A). For CO and H2O ($L_{\rm CO}+L_{\rm H_2O}$), ∼70% of cooling occurs in (A) while most OH emission (∼90% of LOH) concentrates on (A). Differently from other species, the [O i] emission extends more broadly beyond the two positions to the south.

According to the simple rotational diagram model, CO seems to have two temperature components (warm and hot), which have been attributed by previous studies to the PDR and shock, respectively. The rotational temperatures and total number of molecules of the two CO components in (A) are higher than those measured in (B). This tendency is true for OH and H2O as well. Therefore, the gas in (A) is hotter and has more of the excited molecules than does (B), according to the rotation diagram analysis. In the case of H2O, the derived ortho-to-para ratio is close to 3, indicating that H2O might have formed in the hot post-shock gas, or the timescale is long enough to equilibrate the ortho-to-para ratio of water after its evaporation from grain surfaces. For OH, $\mathcal {N}$(2Π1/2)/$\mathcal {N}$(2Π3/2) ∼ 0.6, which is greater than the ratio of partition functions of the two ladders by a factor of four at 115 K. This is possibly due to the IR-pumping in the 2Π1/2 transitions and/or higher optical depths of the 2Π3/2 transitions.

According to our non-LTE LVG analyses, the PACS CO and H2O emission arises from shocked gas (rather than photo-heated gas) and requires multiple gas components with different physical conditions.

The non-LTE LVG model shows the sub-thermal condition of OH. All OH lines except the highest energy level (Eu = 875 K) transition are optically thick, and the optical depths of the 2Π3/2 transitions are higher than those of the 2Π1/2 transitions. Therefore, the displacement between two ladders in the rotation diagram is caused by the higher optical depths of the 2Π3/2 transitions. In addition, the LVG model supports the IR-pumping processes for OH transitions because the OH line flux of Eu = 875 K is much better fitted when the FIR radiation from the central source is included. In contrast, the IR-pumping is not very important for the H2O lines.

Our best-fit LVG models predict that (50%–80%) of the molecular line emission is produced in the PACS wavelength range depending on models. The continuum luminosity observed in the PACS range is ∼50% of Lbol. The modeled cooling luminosities are LCO ∼ (1.1–2.4) × 10−2L and $L_{\rm H_2O}\sim (2.0\hbox{--}4.5) \times 10^{-2} \,L_{\odot }$ while HIFI observations predict LCO ∼ 0.5 × 10−2L and $L_{\rm H_2O} \sim 2\hbox{--}4 \times 10^{-2} \,L_{\odot }$ for CO and H2O, respectively (Kristensen et al. 2011). Both models show that the major line cooling occurs at the wavelengths >60 μm, which is consistent with the ISO result (Nisini et al. 2000).

In comparisons with shock models, the PACS molecular emission can be explained by a C-shock, but the atomic emission such as PACS [O i] and Spitzer/IRS [Si ii] requires a J-shock, indicative of multiple shocks in L1448-MM.

In conclusion, our study of L1448-MM with the PACS spectra shows that the atomic and molecular line observations at the FIR wavelengths are very important to understand in detail the energy budget and excitation conditions in the embedded YSOs.

Support for this work, part of the Herschel Open Time Key Project Program, was provided by NASA through an award issued by the Jet Propulsion Laboratory, California Institute of Technology. Jeong-Eun Lee was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education of the Korean government (grant number NRF-2010-0008704 and NRF-2012R1A1A2044689). M.C. was supported by the Core Research Program of NRF funded by the Ministry of Science, ICT and Future Planning of the Korean government (grant number NRF-2011-0015816). This work is also supported by the Korea Astronomy and Space Science Institute (KASI) grant funded by the Korean government (MEST).

APPENDIX: LINE FLUX AND ERROR CALCULATION

Reduced data with HIPE v6.1 are flux calibrated more accurately while HIPE v8.1 provide higher S/N spectra. Therefore, we calculated EW from HIPE v8.1 reduction (EW8) and multiplied the EW by the local continuum of HIPE v6.1 reduction $(F\rm _{conti,6}$) to obtain line flux (LF) over 5 × 5 spaxels:

where $\it F\rm _{conti,6}$ were measured from a sum over the whole 5 × 5 spaxels while ${\rm EW}\rm _8$ were measured from the spectrum extracted over only two spaxels (C and S) except for [O i] lines. For the [O i] lines, ${\rm EW}\rm _8$ were measured from the sum over four spaxels with clear detection.

According to the error propagation, the line flux errors in Table 1 are calculated with the equation:

We assumed that continuum uncertainty is 20% of the flux.

Footnotes

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10.1088/0067-0049/209/1/4