Microsoft Word - 惑星科学フロンティアセミナー2012ノート_修正版.docx
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- うのすけ みしま
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21 [分子雲のフィラメント構造] 分子雲内には フィラメント ひも 状の構造が見えている Ph. André et al.: The Herschel Gould Belt Survey 上図は Aquilla と Polaris という別の領域の画像 分子雲内にまずフィラメント状の構造がうまれ そのフィラメントがぶちぶちと切れて星形成へ というように見える Fig. 1. Column density maps of two subfields in Aquila (left) and Polaris (right) derived from our SPIRE/PACS data. The contrast of the filaments 一時的に分子雲コアはフィラメント化する with respect to the non-filamentary background has been enhanced using a curvelet transform as described in Appendix A. Given the typical width AU of the filaments, these column density maps are equivalent to maps of the mass per unit length along the filaments. The color scale shown on the right of each panel is given in approximate units of the critical line mass of Inutsuka & Miyama (1997) as discussed in Sect. 4. The areas where the filaments have a mass per unit length larger than half the critical value and are thus likely gravitationally unstable have been highlighted in white. The maximum line mass observed in the Polaris region is only 0.45 the critical value, suggesting that the Polaris filaments are stable and unable to form stars at the present time. The candidate Class 0 protostars and bound prestellar cores identified in Aquila by Bontemps et al. (2010) and Könyves et al. (2010) are shown as green stars and blue triangles, respectively. Note the good correspondence between the spatial distribution of the bound cores/protostars and the regions where the filaments are unstable to gravitational collapse. [分子雲コアの質量分布] Fig. 2. Core mass functions (blue histograms with error bars) derived from our SPIRE/PACS observations of the Aquila (left) and Polaris (right) regions, which reveal of total of 541 candidate prestellar cores and 302 starless cores, respectively. A lognormal fit (red curve) and a power-law fit (black solid line) to the high-mass end of the Aquila CMF are superimposed in the left panel. The power-law fit has a slope of 1.5 ± 0.2 (compared to a Salpeter slope of 1.35 in this dn/dlogm format), while the lognormal fit peaks at 0.6 M$ and has a standard deviation of 0.43 in log10 M. The IMF of single stars (corrected for binaries e.g., Kroupa 2001), the IMF of multiple systems (e.g., Chabrier 2005), and the typical mass spectrum of CO clumps (e.g., Kramer et al. 1998) are also shown for comparison. Note the remarkable similarity between the Aquila CMF and the stellar IMF, suggesting a one-to-one correspondence between core mass and star/system mass with M!sys = " Mcore and " 0.4 in Aquila. コアの質量分布 (Andre+ 2010) 上図は左が Aquilla 右が Polaris のコア質量分布である 太陽質量程度にピークがあり そこ one-to-one basis, with a fixed and relatively high local efficiency, 星の初期質量関数(IMF)が同じ形状をしている environment. It is nevertheless already clear that one of the keys からほぼあるベキで下がっている これに対して i.e., "core M! /Mcore 20 40% in Aquila. This is consistent to the problem of the origin of the IMF lies in a good understand- to the protostellar accretion phase (cf. Larson 1985; Padoan & Nordlund 2002; Hennebelle & Chabrier 2008). There are several caveats to this simple picture (cf. discussion in André et al. 2009), and detailed analysis of the data from the whole GBS will be required to fully characterize the CMF IMF relationship and, e.g., investigate possible variations in the efficiency "core with into binary/multiple systems (e.g., Bate et al. 2003), probably also play an important role. Our Herschel initial results also provide key insight into the core formation issue. They support an emerging picture (see also Myers 2009) according to which complex networks of long, thin filaments form first within molecular clouds, possibly as a result with theoretical models according to which the stellar IMF is in ing of the formation process of prestellar cores, even if additional このことから 近年では が IMF の起源であると考えられている(なぜこのベキになるかは未 large part determinedcmf by pre-collapse cloud fragmentation, prior processes, such as rotational subfragmentation of prestellar cores 解明) Page 3 of 7 19
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35 Fig. 8. CS(2 1), CS(3 2), CS(5 4), C 34 S(2 1), and C 34 S(3 2) spectra (in units of main beam temperature) observed along the direction perpendicular to the outflow axis (histograms). The dotted line indicates our best-fit estimate (6.63 km s 1 )oftheenvelopesystemicvelocitybased on our CS/C 34 Smodeling.Syntheticspectracorrespondingtothe best-fit 1DsphericalcollapsemodeldescribedinSect.4.3(cf.Figs.7 and 12a,b for model parameters) are superimposed. A. Belloche et al.: Velocity structure of the IRAM protostar A. Belloche et al.: Velocity structure of the IRAM protostar by the width of the CS(2 1) and CS(3 2) dips is obtained for σturb = ± 0.02 km s 1 (cf. Fig. 11). This is equivalent to v FWHM turb = σturb 8ln2 = 0.20 ± 0.05 km s 1 and corresponds to only half the thermal broadening of the mean molecular particle at 10 K, showing that the IRAM envelope is thermally-dominated (see also Sect. 3.4) as are Taurus dense cores in general (e.g. Myers 1999). The main conclusions of our 1D exploration of the parameter space are summarized in Figs. 12a and b, where the shaded areas represent the ranges of infall velocities a and turbulent velocity dispersion b for which acceptable fits are found. 5. Radiative transfer modeling: Simulations Two infall regimes seem to stand out in Fig. 12a: the infall with infall and rotation velocity is relatively large (vinf > 0.2 kms 1,supersonic)and 5.1. Quasi 2D simulations between AU and AU. Given Sect. 3.2 and Fig. 3), we have performed quasi -2D simulations with the following approximation. The non-lte level the density profile of Fig. 7a, such an infall velocity field Fig. 12. Infall a),turbulenceb),androtationc) velocity fields inferred in the IRAM envelope based on our 1D (Sect. 4) and 2D (Sect. 5) radiative transfer modeling. The shaded areas show the estimated domains where the models match the CS and C 34 Sobservationsreasonably well. In a) and b), thesolidlinesshowtheinfallvelocityandturbulentvelocitydispersioninboththe1dand2dmodels(cf.figs.8and14, respectively) as a function of radius from envelope center. In c),thesolidlinerepresentstheprofileoftheazimuthalrotationvelocityinthe2d envelope model (cf. Fig. 14) as a function of radius from the outflow/rotation axis. The point with error bar at AU corresponds to the velocity gradient observed in C 18 O(cf.Sect.3.2).Paneld) shows the corresponding angular velocity profile. increases toward the center for r < AU, while it is smaller and roughly uniform at vinf 0.10 ± 0.05 km s 1 implies a mass infall rate of Ṁinf M yr 1 at r = 1750 AU. (The density and velocity profiles shown in Figs. 7a and 12a are such that Ṁinf is roughly independent of radius.) Inside the r AU region (where non-zero inward motions are inferred), the fraction of envelope mass with supersonic ( kms > 1 ) infall motions is estimated to be only 1 10%, depending on the exact value of the sound speed and exact form of the infall velocity profile (see Fig. 12a). To account for the effects of rotation in the envelope (see 33
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