Issue |
A&A
Volume 523, November-December 2010
|
|
---|---|---|
Article Number | A20 | |
Number of page(s) | 7 | |
Section | Extragalactic astronomy | |
DOI | https://doi.org/10.1051/0004-6361/201014986 | |
Published online | 11 November 2010 |
Submillimeter to centimeter excess emission from the Magellanic Clouds
II. On the nature of the excess
1
Université de Strasbourg Observatoire Astronomique de
Strasbourg,
France
e-mail: caroline.bot@astro.unistra.fr
2
CNRS, Observatoire Astronomique de Strasbourg UMR7550,
67000
Strasbourg,
France
3 Department of Physics, PO Box 64, 00014 University of
Helsinki, Finland
4 Infrared Processing and Analysis Center, California Institute
of Technology, Pasadena, CA91125, USA
5
Université de Toulouse, UPS, CESR, 31028
Toulouse,
France
6
Institut d’Astrophysique Spatiale, 91405
Orsay,
France
7
Sterrewacht Leiden, Leiden University,
PO Box 9513,
2300 RA
Leiden, The
Netherlands
8
Instituto Nacional de Astrofísica, Óptica y Electrónica, Apdo. Postal 51 y 216,
Puebla, Pue.,
Mexico
Received: 13 May 2010
Accepted: 10 August 2010
Context. Dust emission at sub-millimeter to centimeter wavelengths is often simply the Rayleigh-Jeans tail of dust particles at thermal equilibrium and is used as a cold mass tracer in various environments, including nearby galaxies. However, well-sampled spectral energy distributions of the nearby, star-forming Magellanic Clouds have a pronounced (sub-)millimeter excess.
Aims. This study attempts to confirm the existence of this millimeter excess above expected dust, free-free and synchrotron emission and to explore different possibilities for its origin.
Methods. We model near-infrared to radio spectral energy distributions of the Magellanic Clouds with dust, free-free, and synchrotron emission. A millimeter excess emission is confirmed above these components and its spectral shape and intensity are analyzed in light of different scenarios: very cold dust, cosmic microwave background (CMB) fluctuations, a change of the dust spectral index and spinning dust emission.
Results. We show that very cold dust or CMB fluctuations are very unlikely explanations for the observed excess in these two galaxies. The excess in the Large Magellanic Cloud can be satisfactorily explained either by a change of the spectral index related to intrinsic properties of amorphous grains, or by spinning dust emission. In the Small Magellanic Cloud, however, the excess is larger and the dust grain model including TLS/DCD effects cannot reproduce the observed emission in a simple way. A possible solution was achieved with spinning dust emission, but many assumptions on the physical state of the interstellar medium had to be made.
Conclusions. Further studies, with higher resolution data from Planck and Herschel are needed to probe the origin of this observed submillimeter-centimeter excess more definitely. Our study shows that the different possible origins will be best distinguished where the excess is the highest, as is the case in the Small Magellanic Cloud.
Key words: Magellanic Clouds / submillimeter: ISM / radio continuum: ISM / galaxies: ISM
© ESO, 2010
1. Introduction
(Sub-)millimeter to centimeter emission in galaxies is thought to be quite simple, being a combination of dust emission, free-free, and synchrotron emission. Thermal free-free radiation originates in the ionized gas of Hii regions, and its emission is nearly flat in this optically thin regime of the spectrum (Sν ∝ ν-0.1). Synchrotron radiation is emitted by relativistic electrons accelerated in magnetic fields and its spectrum is also a power law (Sν ∝ ν − αsync). The spectral index of synchrotron emission and the relative contribution of these two emission mechanisms to the intensity observed at a given wavelength is constrained by radio observations. Dust emission observed at far-infrared and millimeter wavelengths is produced by large dust grains in thermal equilibrium that emit as a modified blackbody (Sν ∝ νβBν(Tdust) where β is frequently taken as ~2). Because of the wavelength dependence of thermal dust emission, millimeter dust emission is often used as a tracer of the cold molecular gas reservoir in a galaxy (e.g. Guelin et al. 1993; Dunne & Eales 2001; Rubio et al. 2004; Weiß et al. 2008; Vlahakis et al. 2008). This information is particularly interesting since cold H2 is almost impossible to observe and the use of CO line emission is not straightforward, especially at low metallicities (Israel 1988; Lequeux et al. 1994; Israel 1997b). Millimeter dust emission could be a good alternative to the CO molecule for tracing cold matter, also in low-metallicity environments (Thronson 1988; Israel 1997a; Rubio et al. 2004; Bot et al. 2007, 2010).
This simple picture is, however, thrown into doubt by observations of the Milky Way and nearby galaxies. Several studies present excess emission in the sub-millimeter that at face value trace large amounts of very cold dust with temperatures below 10 K (Reach et al. 1995; Chini et al. 1995; Krügel et al. 1998; Popescu et al. 2002; Galliano et al. 2003; Dumke et al. 2004). But, as already noted by Reach et al. (1995), the spatial correlation of this very cold dust with the warm component in our galaxy argues against this interpretation. The scenario of very cold dust is also rejected in nearby galaxies based on different physical arguments (Lisenfeld et al. 2002, e.g.). This sub-millimeter excess is then alternatively attributed to variations of optical properties of dust grains. For example, low spectral emissivity index values, β, might apply (Dupac et al. 2003b; Aguirre et al. 2003). Spectral emissivity index variations with dust temperature have been noted (Dupac et al. 2003a; Désert et al. 2008). These variations could be related to physical properties of amorphous solids (Meny et al. 2007). However, in nearby galaxies, such variations in dust properties might be difficult to disentangle from the effect of mixing different dust components with different dust temperatures, along the line of sight. Data at numerous wavelengths covering the far-infrared (FIR) to the millimeter regime are required to better constrain the emission from dust in nearby galaxies.
At longer wavelengths (~30 GHz, ~1 cm), another excess of emission has been observed in our galaxy and is called “anomalous dust” (e.g. Draine & Lazarian 1998a; Lagache 2003; de Oliveira-Costa et al. 2004; Finkbeiner et al. 2004; Casassus et al. 2006; Miville-Deschênes et al. 2008; Dobler & Finkbeiner 2008). This excess is best explained by small rotating dust grains (“spinning dust” Draine & Lazarian 1998b). Anomalous dust emission remains poorly constrained by observations (in particular its variations with the environment). Theoretical models predict that the peak frequency of spinning dust emission should shift with grain size or density (Ali-Haïmoud et al. 2009; Ysard & Verstraete 2010). What is the influence of spinning dust emission on submillimeter to radio spectral energy distribution of galaxies?
The Small and the Large Magellanic Clouds (SMC and LMC) are two of the nearest galaxies to ours (located at distances of 60 and 50 kpc respectively Deb & Singh 2010; Szewczyk et al. 2009; Schaefer 2008; Szewczyk et al. 2008). As such, they have been extensively observed in all wavelength regimes. Their low metallicities (~1/2 for the LMC, 1/6 for the SMC, respectively Pagel 2003) provide an opportunity to test our understanding of astrophysical processes in different physical conditions from our galaxy.
Israel et al. (2010) build SEDs of the Magellanic Clouds by combining selected literature flux densities with COBE and WMAP data. The spatial resolution is low (~1° beam), but the resulting SEDs have an unprecedented sampling of wavelengths, particularly at the far-infrared to the radio regime and show a pronounced (sub-)millimeter excess. In this paper, we analyze these SEDs of the full SMC and LMC to assess the contribution of dust, free-free and synchrotron emission, in order to quantify and study this excess emission and its possible origin. Our study is a prototype of future work on more distant galaxies that will use Herschel (60 − 600 μm) and Planck (up to ~10 mm) data.
In Sect. 2, we present a fit of the integrated SEDs of the Magellanic Clouds at infrared and radio wavelengths, with dust, free-free, and synchrotron emission. Above these three components, a significant emission excess is observed in the millimeter-centimeter domain. We explore whether this excess could be associated with very cold dust (Sect. 4), with cosmic microwave background fluctuations (Sect. 3), with the amorphous nature of dust grains (Sect. 5), or with spinning dust emission (Sect. 6).
2. Integrated spectra of the Magellanic Clouds
We used the SEDs determined by Israel et al. (2010) for the Small and the Large Magellanic Clouds. These integrated SEDs are shown in Fig. 1 and the infrared and radio emission is fitted with three components: the Draine & Li (2007) dust model, a free-free component and synchrotron emission.
Fig. 1 Spectral energy distributions from the IR to the radio for the integrated Magellanic clouds. The Draine & Li (2007) dust model spectra as observed in the different photometric bands (blue squares) is fitted to the observed data points (black stars) from 1.27 to 240 μm. Synchrotron and free-free spectra are adjusted on the WMAP and radio data. The sum of the three component fit is displayed as a dashed line. Error bars correspond to 1σ uncertainties. |
The choice of a model to represent dust in the Magellanic Clouds is still problematic (e.g. Meixner et al. 2010; Gordon et al. 2010; Roman-Duval et al. 2010; Kim et al. 2010; Hony et al. 2010). We chose to use the Draine & Li (2007) dust model, which is well suited to studies of galaxies SEDs and has been applied to a number of nearby galaxies observed in the infrared and the submillimeter (Draine et al. 2007). In this model, a mixture of dust grains is heated by a distribution of starlight intensities. A power-law distribution of interstellar radiation field intensities, between Umin and Umax, represents photo-dissociation regions (PDR), while a constant interstellar radiation field Umin illuminates the diffuse medium of the galaxy.
Different dust mixtures and dust size distributions exist in this model, among which three have been tailored to the LMC environment and one for the SMC (Weingartner & Draine 2001; Li & Draine 2002). However, the SMC dust model was tailored to SMC extinction curves built on observations of only a few stars that might not represent the interstellar medium of the SMC as a whole (Gordon & Clayton 1998). Indeed, fitting the ”typical” SMC extinction curve (no 2175 Å bump, steep FUV rise; Weingartner & Draine 2001) implies a lack of very small carbonaceous grains and a predominance of silicate dust grains in the SMC, which contrasts with the 8 μm emission, the clear PAH features and the lack of silicate features (in absorption or in emission) as observed in many regions of the SMC (Sandstrom et al. 2010; Bot et al. 2010). Furthermore, studying 17 nearby galaxies observed from the near-infrared to the sub-millimeter, (Draine et al. 2007) show that in no case was the SMC bar dust model preferred to the Milky-Way (MW) or LMC dust model. Given these considerations, we chose to model the dust emission in the SMC with the Draine & Li (2007) dust model using MW type dust. This choice should not, however, significantly affect the far-infrared part of the spectrum.
The LMC and SMC integrated fluxes from 1.27 to 240 μm were thus fitted with LMC dust models and MW dust models respectively. To do the fit, we use the model spectra as observed with the DIRBE, IRAS and Spitzer photometric bands (i.e. taking into account the spectral response of the instruments and color corrections with respect to the reference spectral shapes) and compare them to the observed fluxes in these same bands, which avoids the use of color-corrections. The best model dust spectra obtained from the fitting procedure are presented in Fig. 1 and the corresponding parameters obtained are summarized in Table 1.
Free-free emission in the Magellanic Clouds is taken from the best estimates determined from the best fit of radio data by Israel et al. (2010) (i.e. and 12.5 Jy for the LMC and SMC respectively, with a ν-0.1 law, and synchrotron spectral indexes are αLMC = − 0.70 and αSMC = − 1.09.) The corresponding free-free and synchrotron emission for the LMC and SMC are shown in Fig. 1.
The sum of the three fitted components (dust + free-free + synchrotron) is shown as a dashed line in Fig. 1. For the LMC, the observed emission is well fitted from infrared to millimeter, as well as in the radio domain. TopHat fluxes at (sub-)millimeter wavelength (475 μm to 1.22 mm Aguirre et al. 2003) are well reproduced by the expected dust emission fitted to the infrared emission. We observe a small, but significant excess (6 − 7σ) emission in the first three WMAP bands at 3.3, 5 and 7.5 mm (90, 60 and 40 GHz), above extrapolated models (dust, free-free and synchrotron). For the SMC integrated spectrum, a clear excess is observed in all TopHat and first four WMAP bands (i.e. from 476 μm to 10 mm). This shows that in the SMC, the sub-millimeter part of the SED cannot be accounted for with dust modeling from the knowledge of the far-infrared peak emission (up to 240 μm).
Part of the excess observed in the SMC could be dust colder than can be extrapolated from far-infrared data points. In particular, a ~ 60 μm excess has been reported in the Magellanic Clouds (Bot et al. 2004; Bernard et al. 2008). This 60 μm excess could be a significant part of the total emission in the SMC and bias dust models toward high temperatures. To check this, we performed a new fit of the SMC spectrum, similar to the modeling described above, but with a fixed minimum radiation field intensity: Umin = 0.1 (which corresponds to Tdust ~ 12 K and is the lowest radiation field available in the pre-computed spectra given for Draine & Li (2007) dust model). The result of the fit is shown in Fig. 2. This model reproduces the observed dust emission better, including TopHat data between 476 μm and 1.2 mm and will be chosen as our best model of dust emission in the SMC in order to be conservative. Still, a significant excess emission remains above the dust, free-free, and synchrotron emission, between wavelengths of 3.3 and 10 mm.
Results from dust emission modeling of the integrated spectra.
Fig. 2 Same as Fig. 1, right panel, but the minimum radiation field in the dust model is fixed to a value of 0.1 times the solar neighborhood value (Tdust ~ 12 K). Error bars correspond to 1σ uncertainties. |
The spectrum of this excess in both galaxies is shown in Fig. 3 and Table 2. It is obtained by subtracting the best model emissions (dust, free-free, and synchrotron) to the observed spectra. The spectral shape and surface brightness of the excess observed in the LMC and in the SMC are similar (cf. Fig. 3). This suggests that they probably arise from the same physical process.
Fig. 3 SEDs of the millimeter-centimeter excess in the LMC (in green) and in the SMC (in black). The spectral shape of the CMB fluctuations (dBν(2.725 K) / dT × DeltaTFixsen 2009) is scaled to the SMC excess brightnesses for comparison. Modified black body fits to the LMC and the SMC excess representing a possible cold dust component are shown as dotted lines. |
Surface brightness of the observed excess emission in the Magellanic Clouds.
3. CMB fluctuations?
The intensity of the CMB fluctuations are expected to be non-negligible at low surface brightnesses like the one observed for the Magellanic Clouds in the millimeter-centimeter range. Moreover, in the SMC, the SED of the excess is of similar shape to the CMB fluctuations (cf. Fig. 3). We therefore estimate the probability that CMB fluctuations in the background of the Magellanic Clouds are at the origin of this submillimeter-centimeter excess.
To do so, we created a CMB simulation map that reproduces the observed CMB power spectrum (Larson et al. 2010). We draw 5000 random positions in this CMB map and extract intensities of CMB fluctuations at 5 mm (60 GHz) inside an area equal to the one of the SMC and with an annular background subtraction. In Fig. 4, we plot a histogram of CMB fluctuations intensities obtained for these 5000 random regions. We then estimate the probability of observing CMB fluctuations at a surface brightness that is compatible with the observed excess surface brightness (cf. Table 2) at 5 mm within 3σ. We find that this probability amounts to 5% for SMC.
We perform the same estimate for the LMC. The histogram of CMB fluctuations intensities obtained with the same method is shown in Fig. 2 (left panel). The difference observed between the histograms for the LMC and the SMC corresponds to a size difference between the regions considered in each case (~4° and ~2° radii, respectively). For the LMC, we find a 14% probability that the intensity of the excess at 5 mm is due to CMB fluctuations. However, the spectral shape of the excess in this case differs from the one of CMB fluctuations. Furthermore, both Magellanic Clouds show a similar millimeter-centimeter excess emission despite their different size on the sky, which argues against the hypothesis that this excess is due to CMB fluctuations.
We therefore consider it very unlikely that the excess in the Magellanic Clouds is CMB fluctuations in the background of these galaxies. Our test is based on average surface brightnesses and, as such, does not make any use of the spatial distribution of the excess in the Magellanic Clouds. A study of the excess with respect to the expected CMB fluctuations at different spatial scales would help to discriminate the significance of CMB fluctuations in that respect.
Fig. 4 Histogram of the simulated intensity fluctuations of the CMB measured as the fluxes of the LMC and SMC (left and right panels, respectively) at 5 mm (60 GHz), for 5000 random positions on the sky. The histograms have been normalized to their peak value, and the bin size is 5 × 10-4 MJy/sr). The solid vertical line in each panel corresponds to the measured excess intensity at this wavelength, while the dashed lines give the 3σ error estimates to either side of this measured excess. |
Fig. 5 SEDs of the Magellanic Clouds in the FIR to mm regime, once the free-free and synchrotron emission removed. This SED is fitted from 100 μm to 9.1 mm with a dust model with DCD/TLS effects. The spectral shape of the DCD effect is shown in light blue, while the TLS effects are displayed in dark blue and the total emission is displayed in red. |
4. Very cold dust?
It is tantalizing to try to explain the excess observed with very cold dust, especially since colder dust in the SMC can explain the sub-millimeter part of the excess (cf. Sect. 2). To check this hypothesis, the excess observed is fitted by a modified blackbody representing a possible cold dust component. Best fits are shown in Fig. 3 and give dust temperatures of ~3 K and spectral indices of and . Such a cold thermal equilibrium temperature is unrealistic for big grains. Furthermore, the spectral dust emissivity index deduced for the SMC is also unrealistically low. Indeed, current observations suggest β in the range 1 − 2.5 (Boulanger et al. 1996; Lagache et al. 1999; Dupac et al. 2003a; Paradis et al. 2009) and the Kramers-König equations suggest that a value of 1 is a lower limit to β (Emerson 1988). The existence of very cold dust that would explain the observed millimeter excess therefore seems very unlikely.
5. A change in the dust emissivity spectral index?
Another hypothesis for explaining the millimeter excess is a change in the spectral emissivity index from the FIR to the millimeter. Such a change has been observed in our Galaxy (Paradis et al. 2009) and is related to intrinsic dust properties. To test this assumption, we used a model proposed by Meny et al. (2007), based on the properties of amorphous dust grains. They consider two complementary physical models. The first one describes excitation of acoustic lattice vibrations coming from the interaction between electromagnetic fields and a disordered charge distribution (DCD). This DCD model is characterized by a correlation length, used to describe the disorder degree of amorphous state.The second model focuses on the processes associated with a distribution of low-energy, two-level systems (TLS), such as resonant absorption, relaxation processes, temperature-dependent emission. This DCD/TLS model was succesfully used to reproduce the FIRAS/WMAP spectrum of galactic diffuse emission (Paradis 2007; Paradis et al. 2010, in prep.).
Fits to the LMC and SMC-integrated spectra were done for all points from 100 μm to 9.1 mm. To do so, three parameters were set free: the dust temperature, the correlation length (LC), and the ratio of TLS over DCD effects (A ratio). We did not attempt to fit the 60 μm data point as the emission from very small grains that are transiently heated is known to be significant at that wavelength. Best fits are shown in Fig. 5 and correspond to dust equilibrium temperatures of 21 K and 24 K, correlation lengths of 6.4 and 12.85 nm, and A ratios of 4.4 and 19.4, for the LMC and the SMC, respectively.
In the LMC, the DCD/TLS model is able to reproduce observations, assuming a correlation length decreased by a factor of 2 and a TLS processes intensity increased by a factor of 1.8, with respect to the parameters used to reproduce the spectrum of galactic diffuse emission. This result indicates good agreement between dust properties in the diffuse medium of our Galaxy and in the overall LMC, even if the amorphization degree1 of dust grains is different.
However, for the SMC, the flattening of the spectrum is too pronounced to be explained only by intrinsic dust properties. Figure 5 shows a fit of the SMC SED with the DCD/TLS model. In this case, TLS effect intensity had to be enhanced by a factor of 8. Despite this enhancement, an additional component in the millimeter domain is needed to reproduce the data.
The properties of amorphous grains satisfactorily explain the excess in the LMC but the model fails at reproducing the one observed in the SMC.
6. Spinning dust emission?
The main mechanism invoked to explain Galactic anomalous excess at millimeter wavelengths is spinning dust emission, as first proposed by Draine & Lazarian (1998b). Unlike the excess in the Magellanic clouds, Galactic excess peaks between 20 and 40 GHz. However, models predict that the peak frequency of spinning dust emission shifts with radiation field intensity, interstellar gas physical parameters2, grain size distribution, and electric dipole moment (Ali-Haïmoud et al. 2009; Ysard & Verstraete 2010).
Fig. 6 Best fits of the millimeter excess observed in the Magellanic Clouds with anomalous dust components as described in the text. |
Gas parameters obtained with CLOUDY.
For the LMC, a good fit is achieved and is shown in Fig. 6 (left panel) overlaid on the observed excess emission. The resulting PAH mass fraction is qPAH = 2.15%, with a carbon abundance in PAH of 0.9 ppm in the diffuse medium and 3.06 ppm in the PDR.
For the SMC however, no good fit was achieved with a diffuse+PDR model. Separating the PDR component into a dense PDR component (with nH = 105 cm-3) and a moderately dense PDR component (with nH = 103 cm-3), a good fit of the excess emission observed in the SMC is achieved and is shown in Fig. 6 (right panel). In this case, we deduce qPAH = 0.39%, with a carbon abundance in PAH of 2.20 ppm in the diffuse medium and 0.49 ppm in the dense PDR and 0.47 ppm in the moderately dense PDR.
The spinning dust emission model can therefore reproduce the excess observed in both Magellanic clouds with parameters that are consistent with our current understanding of the interstellar medium in these environments. In particular, the PAH mass fractions obtained from the best fits of the millimeter excess are consistent with those obtained from the far-infrared dust emission modeling of the SEDs. This is consistent with the idea that spinning dust emission is produced by the smallest grains which are responsible for the mid-IR emission.
If the millimeter-centimeter excess is due to spinning dust, the peak frequency of spinning dust emission in the Magellanic Clouds (139 and 160 GHz − 2.2 mm and 1.9 mm – for the LMC and SMC respectively) is shifted with respect to what is observed in our Galaxy. This shift depends on three main parameters: the size (the smaller the grain, the higher its emission frequency), the density (if the medium is denser, more grain-gas collisions occur and the anomalous emission peak is shifted toward higher frequencies) and the intensity of the interstellar radiation field (ISRF) (above a threshold of G0 = 10, if the ISRF intensity increases, the emission peak is shifted to higher frequencies). In order to reproduce the millimeter excess observed in the Magellanic Clouds, all three parameters were equally important.
This study shows that spinning dust emission is a possible solution for the nature of the observed excess in the two Magellanic Clouds. However, without complementary information, many assumptions had to be made (e.g. mixing of two or three components along the line of sight, density of the interstellar medium). Also, recent studies (Hoang et al. 2010; Silsbee et al. 2010) have shown that refinements on spinning dust models can lead to significant changes in the shape and intensity of the spinning dust emission peak. Including such effects is beyond the scope of this paper, but could help understanding the excess in the SMC in terms of spinning dust emission. We do not claim that the best fits obtained are a unique solution. Higher resolution studies with Planck and Herschel will be necessary to confirm this origin of the excess by assessing the distribution of the millimeter excess in the Magellanic Clouds as a function of local conditions in better defined environments (e.g. diffuse medium only, HII regions). For example, it would be interesting to try to correlate the millimeter-centimeter excess in the Magellanic Clouds with PAHs emission to test the scenario of spinning dust emission.
7. Conclusion
Comprehensive SEDs of the Magellanic Clouds from the near-infrared to the radio are modeled with dust, free-free, and synchrotron emission. An excess above these three components is observed at millimeter wavelengths. This excess has a similar spectral shape in both Magellanic Clouds but is more prominent in the SMC total SED than in the LMC.
We explore different scenarios for the origin of this excess emission in the millimeter regime: very cold dust, CMB fluctuations, a change in the dust emissivity spectral index and spinning dust emission. It is shown that very cold dust grains imply a thoroughly unrealistic nature for this excess and CMB fluctuations are unlikely to create such an excess alone.
For the LMC, the millimeter-centimeter excess can be explained equally well with TLS/DCD effects in amorphous grains or with spinning dust emission. This is drastically different in the SMC, where the mm-cm excess is more pronounced. In this case, CMB fluctuations become very unlikely and the inclusion of TLS/DCD effects alone does not reproduce the excess. However, spinning dust emission models are capable to explain the observed excess with parameters that are consistent with our understanding of the ISM in the SMC, but many assumptions had to be made to obtain this result.
We confirm the existence of an unexpected mm-cm excess in the Magellanic Clouds, but the nature of this excess remains unclear. Spinning dust is a promising solution, but this should be further tested in better defined physical environments. The millimeter-centimeter excess observed in the Magellanic Clouds could easily be more complex in nature, having multiple causes rather than a single one, so that the different effects explored here might add up. In this context, Planck and Herschel observations of the Magellanic Clouds are needed to map this excess at better spatial resolution, trace its spatial variations, and probe its origin more definitely.
Collision with interstellar gas species may excite or damp the rotation (Draine & Lazarian 1998b).
Acknowledgments
We would like to thank Nicolas Ponthieu for his help on the simulations of the CMB fluctuations.
References
- Aguirre, J. E., Bezaire, J. J., Cheng, E. S., et al. 2003, ApJ, 596, 273 [NASA ADS] [CrossRef] [Google Scholar]
- Ali-Haïmoud, Y., Hirata, C. M., & Dickinson, C. 2009, MNRAS, 395, 1055 [NASA ADS] [CrossRef] [Google Scholar]
- Bernard, J.-P., Reach, W. T., Paradis, D., et al. 2008, AJ, 136, 919 [NASA ADS] [CrossRef] [Google Scholar]
- Bot, C., Boulanger, F., Lagache, G., Cambrésy, L., & Egret, D. 2004, A&A, 423, 567 [NASA ADS] [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- Bot, C., Boulanger, F., Rubio, M., & Rantakyro, F. 2007, A&A, 471, 103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bot, C., Rubio, M., Boulanger, F., et al. 2010, A&A, in press [Google Scholar]
- Boulanger, F., Abergel, A., Bernard, J.-P., et al. 1996, A&A, 312, 256 [NASA ADS] [Google Scholar]
- Casassus, S., Cabrera, G. F., Förster, F., et al. 2006, ApJ, 639, 951 [NASA ADS] [CrossRef] [Google Scholar]
- Chini, R., Kruegel, E., Lemke, R., & Ward-Thompson, D. 1995, A&A, 295, 317 [NASA ADS] [Google Scholar]
- de Oliveira-Costa, A., Tegmark, M., Davies, R. D., et al. 2004, ApJ, 606, L89 [NASA ADS] [CrossRef] [Google Scholar]
- Deb, S., & Singh, H. P. 2010, MNRAS, 402, 691 [NASA ADS] [CrossRef] [Google Scholar]
- Désert, F.-X., Macías-Pérez, J. F., Mayet, F., et al. 2008, A&A, 481, 411 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Dobler, G., & Finkbeiner, D. P. 2008, ApJ, 680, 1235 [NASA ADS] [CrossRef] [Google Scholar]
- Draine, B. T., & Lazarian, A. 1998a, ApJ, 494, L19 [NASA ADS] [CrossRef] [Google Scholar]
- Draine, B. T., & Lazarian, A. 1998b, ApJ, 508, 157 [NASA ADS] [CrossRef] [Google Scholar]
- Draine, B. T., & Li, A. 2007, ApJ, 657, 810 [NASA ADS] [CrossRef] [Google Scholar]
- Draine, B. T., Dale, D. A., Bendo, G., et al. 2007, ApJ, 663, 866 [NASA ADS] [CrossRef] [Google Scholar]
- Dumke, M., Krause, M., & Wielebinski, R. 2004, A&A, 414, 475 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Dunne, L., & Eales, S. A. 2001, MNRAS, 327, 697 [NASA ADS] [CrossRef] [Google Scholar]
- Dupac, X., Bernard, J.-P., Boudet, N., et al. 2003a, A&A, 404, L11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Dupac, X., delBurgo, C., Bernard, J.-P., et al. 2003b, MNRAS, 344, 105 [NASA ADS] [CrossRef] [Google Scholar]
- Emerson, J. P. 1988, in Formation and Evolution of Low Mass Stars, ed. A. K. Dupree & M. T. V. T. Lago, NATO ASIC Proc., 241, 21 [Google Scholar]
- Ferland, G. J., Korista, K. T., Verner, D. A., et al. 1998, PASP, 110, 761 [Google Scholar]
- Finkbeiner, D. P., Langston, G. I., & Minter, A. H. 2004, ApJ, 617, 350 [NASA ADS] [CrossRef] [Google Scholar]
- Fixsen, D. J. 2009, ApJ, 707, 916 [Google Scholar]
- Galliano, F., Madden, S. C., Jones, A. P., et al. 2003, A&A, 407, 159 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gordon, K., Galliano, F., Hony, S., et al. 2010, A&A, 518, L89 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gordon, K. D., & Clayton, G. C. 1998, ApJ, 500, 816 [NASA ADS] [CrossRef] [Google Scholar]
- Guelin, M., Zylka, R., Mezger, P. G., et al. 1993, A&A, 279, L37 [NASA ADS] [Google Scholar]
- Hoang, T., Draine, B. T., & Lazarian, A. 2010, ApJ, 715, 1462 [NASA ADS] [CrossRef] [Google Scholar]
- Hony, S., Galliano, F., Madden, S. C., et al. 2010, A&A, 518, L76 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Israel, F. P. 1988, in Millimetre and Submillimetre Astronomy, ed. R. D. Wolstencroft, & W. B. Burton, Ap&SS Library, 147, 281 [Google Scholar]
- Israel, F. P. 1997a, A&A, 317, 65 [NASA ADS] [Google Scholar]
- Israel, F. P. 1997b, A&A, 328, 471 [NASA ADS] [Google Scholar]
- Israel, F. P., Wall, W. F., Raban, D., et al. 2010, A&A, accepted [Google Scholar]
- Kim, S., Kwon, E., Madden, S. C., et al. 2010, A&A, 518, L75 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Krügel, E., Siebenmorgen, R., Zota, V., & Chini, R. 1998, A&A, 331, L9 [NASA ADS] [Google Scholar]
- Lagache, G. 2003, A&A, 405, 813 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lagache, G., Abergel, A., Boulanger, F., Désert, F. X., & Puget, J.-L. 1999, A&A, 344, 322 [NASA ADS] [Google Scholar]
- Larson, D., Dunkley, J., Hinshaw, G., et al. 2010, ApJS, accepted [arXiv:1001.4635] [Google Scholar]
- Lequeux, J., Le Bourlot, J., Des Forets, G. P., et al. 1994, A&A, 292, 371 [NASA ADS] [Google Scholar]
- Li, A., & Draine, B. T. 2002, ApJ, 576, 762 [Google Scholar]
- Lisenfeld, U., Israel, F. P., Stil, J. M., & Sievers, A. 2002, A&A, 382, 860 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Meixner, M., Galliano, F., Hony, S., et al. 2010, A&A, 518, L71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Meny, C., Gromov, V., Boudet, N., et al. 2007, A&A, 468, 171 [Google Scholar]
- Miville-Deschênes, M.-A., Ysard, N., Lavabre, A., et al. 2008, A&A, 490, 1093 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pagel, B. E. J. 2003, in Astronomical Society of the Pacific Conference Series, ed. C. Charbonnel, D. Schaerer, & G. Meynet, ASP Conf. Ser., 304, 187 [Google Scholar]
- Paradis, D. 2007, Ph.D. Thesis, Universite Paul Sabatier – Toulouse III [Google Scholar]
- Paradis, D., Bernard, J., & Mény, C. 2009, A&A, 506, 745 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Paradis, D., Bernard, J., & Meny, C. E. A. 2010, in prep., A&A [Google Scholar]
- Popescu, C. C., Tuffs, R. J., Völk, H. J., Pierini, D., & Madore, B. F. 2002, ApJ, 567, 221 [NASA ADS] [CrossRef] [Google Scholar]
- Reach, W. T., Dwek, E., Fixsen, D. J., et al. 1995, ApJ, 451, 188 [NASA ADS] [CrossRef] [Google Scholar]
- Roman-Duval, J., Israel, F. P., Bolatto, A., et al. 2010, A&A [Google Scholar]
- Rubio, M., Boulanger, F., Rantakyro, F., & Contursi, A. 2004, A&A, 425, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Sandstrom, K. M., Bolatto, A. D., Draine, B. T., Bot, C., & Stanimirović, S. 2010, ApJ, 715, 701 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
- Schaefer, B. E. 2008, AJ, 135, 112 [NASA ADS] [CrossRef] [Google Scholar]
- Silsbee, K., Ali-Haimoud, Y., & Hirata, C. M. 2010, MNRAS, accepted [arXiv:1003.4732] [Google Scholar]
- Szewczyk, O., Pietrzyński, G., Gieren, W., et al. 2008, AJ, 136, 272 [NASA ADS] [CrossRef] [Google Scholar]
- Szewczyk, O., Pietrzyński, G., Gieren, W., et al. 2009, AJ, 138, 1661 [NASA ADS] [CrossRef] [Google Scholar]
- Thronson, Jr., H. A. 1988, in Galactic and Extragalactic Star Formation, ed. R. E. Pudritz, & M. Fich, NATO ASIC Proc., 232, 621 [Google Scholar]
- Vlahakis, C., Baes, M., Bendo, G., & Lundgren, A. 2008, A&A, 485, L25 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Weingartner, J. C., & Draine, B. T. 2001, ApJ, 548, 296 [NASA ADS] [CrossRef] [Google Scholar]
- Weiß, A., Kovács, A., Güsten, R., et al. 2008, A&A, 490, 77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ysard, N., & Verstraete, L. 2010, A&A, 509, A12 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
All Tables
All Figures
Fig. 1 Spectral energy distributions from the IR to the radio for the integrated Magellanic clouds. The Draine & Li (2007) dust model spectra as observed in the different photometric bands (blue squares) is fitted to the observed data points (black stars) from 1.27 to 240 μm. Synchrotron and free-free spectra are adjusted on the WMAP and radio data. The sum of the three component fit is displayed as a dashed line. Error bars correspond to 1σ uncertainties. |
|
In the text |
Fig. 2 Same as Fig. 1, right panel, but the minimum radiation field in the dust model is fixed to a value of 0.1 times the solar neighborhood value (Tdust ~ 12 K). Error bars correspond to 1σ uncertainties. |
|
In the text |
Fig. 3 SEDs of the millimeter-centimeter excess in the LMC (in green) and in the SMC (in black). The spectral shape of the CMB fluctuations (dBν(2.725 K) / dT × DeltaTFixsen 2009) is scaled to the SMC excess brightnesses for comparison. Modified black body fits to the LMC and the SMC excess representing a possible cold dust component are shown as dotted lines. |
|
In the text |
Fig. 4 Histogram of the simulated intensity fluctuations of the CMB measured as the fluxes of the LMC and SMC (left and right panels, respectively) at 5 mm (60 GHz), for 5000 random positions on the sky. The histograms have been normalized to their peak value, and the bin size is 5 × 10-4 MJy/sr). The solid vertical line in each panel corresponds to the measured excess intensity at this wavelength, while the dashed lines give the 3σ error estimates to either side of this measured excess. |
|
In the text |
Fig. 5 SEDs of the Magellanic Clouds in the FIR to mm regime, once the free-free and synchrotron emission removed. This SED is fitted from 100 μm to 9.1 mm with a dust model with DCD/TLS effects. The spectral shape of the DCD effect is shown in light blue, while the TLS effects are displayed in dark blue and the total emission is displayed in red. |
|
In the text |
Fig. 6 Best fits of the millimeter excess observed in the Magellanic Clouds with anomalous dust components as described in the text. |
|
In the text |
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.