Free Access
Issue
A&A
Volume 580, August 2015
Article Number A13
Number of page(s) 27
Section Galactic structure, stellar clusters and populations
DOI https://doi.org/10.1051/0004-6361/201424434
Published online 20 July 2015

© ESO, 2015

1. Introduction

At radio, millimetre, and far-infrared (FIR) wavelengths the emission from the interstellar medium (ISM) is generated by four distinct mechanisms. The three long-recognized components are the free-free emission from ionized gas (e.g., Dickinson et al. 2003), the synchrotron emission from relativistic electrons spiralling in the Galactic magnetic field (Rybicki & Lightman 1979), and thermal (vibrational) emission from large dust grains (Désert et al. 1990). Another component has been identified, namely the anomalous microwave emission (AME) correlated with dust and emitting in the frequency range 1550 GHz. This emission has a peaked spectrum centred at 2030 GHz and is believed to be electric dipole radiation from small spinning dust grains (Draine & Lazarian 1998a,b). A new flat-synchrotron component, the microwave haze, associated with gamma-ray emission, has also been identified at intermediate latitudes (Dobler et al. 2010; Planck Collaboration Int. IX 2013), but is not of concern here.

The aim of this paper is to study the inner Galaxy where the four emission components at radio and millimetre wavelengths peak in a narrow latitude band. In the past the components have been difficult to separate because their morphologies are similar, which is not the case at higher latitudes where component separation techniques have been successful (Gold et al. 2011; Planck Collaboration Int. XII 2013). The region l = 300° → 0° → 60°, | b | < 2° is the most active star formation area in the Galaxy. The latitude- or z-width of a component reflects its recent history. The most recent (current) star formation may be traced in the distribution of the dense CO and CS molecular clouds. The free-free emission traces both the current OB stars in individual H ii regions and the diffuse emission produced by the sum of all the ionizing stars. The narrow distribution of synchrotron emission traces the supernova remnants (SNRs) as they expand and become a diffuse background over their 105−106 yr lifetime. The latitude distribution of pulsars, which are also born in SN events, is also relevant to the discussion. The total gaseous mass distribution in latitude can be inferred from the thermal dust emission (Planck Collaboration XIX 2011) and the gamma-ray π0-decay data (Grenier et al. 2005). We will show that it is possible to separate the narrow latitude distribution from the broad distribution in each of the four mechanisms, in emission from the Gould Belt system in which the Sun lies, in the local spiral arm, and in the Galactic halo.

There are a number of methods available for separating the four emission components at intermediate and high Galactic latitudes. These methods assume that the components have different distributions on the sky, and require templates for each component. The 408 MHz map of Haslam et al. (1982) is used for the synchrotron emission template, and the Hα maps (WHAM, Reynolds et al. 1998; SHASSA, Gaustad et al. 2001; VTSS, Dennison et al. 1998) are used for the free-free template. The FIR maps (IRAS, Miville-Deschênes & Lagache 2005; COBE-DIRBE, Hauser et al. 1998) are used as templates for the dust-correlated AME and the thermal dust. However, on the Galactic plane the four components have similar narrow latitude distributions and cannot be separated morphologically. Nevertheless, with a large frequency coverage it is possible to construct comprehensive spectral energy distributions (SEDs) along the Galactic plane and fit spectral models to them. This is where Planck1 (Tauber et al. 2010; Planck Collaboration I 2011) with its wide frequency coverage from 28.4 to 857 GHz combined with radio and FIR data can throw new light on the four Galactic plane components.

We will now summarize what is known about each of the components as determined at intermediate latitudes, which may act as a guide to what may be expected on the Galactic plane.

The Galactic synchrotron emission is generated by relativistic cosmic ray electrons (CRE) spiralling in the Galactic magnetic field. They have their origin in supernova shocks following the collapse of massive stars. The relativistic electrons eventually escape from the expanding remnants into the thin disk and subsequently into the Galactic halo. The high-energy component of the cosmic rays escapes from the supernova site and collides with interstellar gas to produce gamma-rays by π0-decay. Neutron stars (pulsars) can also be produced in the stellar collapse; they are a good indicator of the Galactic supernova rate. The spectral index of the synchrotron power spectrum, α, is directly related to the spectral index, δ, of the CRE energy spectrum by the relation α = 0.5 × (δ−1) (Rohlfs & Wilson 2004). The equivalent relation for the synchrotron brightness spectral index is βsynch = 0.5 × (δ + 3) (where Tbνβ). Energy loss by radiation steepens the electron energy spectrum and accordingly the synchrotron spectrum also steepens at higher frequencies. The synchrotron brightness temperature spectral index at frequencies below ~1 GHz at intermediate latitudes is found to lie in the range −2.5 to −2.7 (Lawson et al. 1987; Broadbent et al. 1989; Platania et al. 1998, 2003). However it steepens significantly by 23 GHz to values of −2.9 to −3.2 as measured from 408 MHz (Banday et al. 2003; Davies et al. 2006; Gold et al. 2011; Ghosh et al. 2012). The steepening must occur somewhere in the range 220 GHz (Dunkley et al. 2009a; Peel et al. 2011; Strong et al. 2011). At WMAP frequencies the spectral index is −3.0 at intermediate latitudes (Banday et al. 2003; Davies et al. 2006; Kogut et al. 2011).

The free-free emission arises from the ionized component of the ISM. This ionization is produced by OB stars recently formed in high-density regions; some of the emission comes from compact H ii regions and some is from the diffuse medium excited by the interstellar radiation field. The spectral shape of the free-free emission is well defined (Bennett et al. 1992; Dickinson et al. 2003; Draine 2011). The brightness temperature spectral index is βff ≈ −2.10 at 1 GHz, and steepens to βff ≈ −2.14 at 100 GHz. Hα data provide a good template for free-free emission at intermediate and high Galactic latitudes, although even here a correction is required to account for absorption by interstellar dust, which varies depending on the distributions of dust and ionized ISM along the line of sight. A fraction of the Hα emission may be scattered from the dust and would not have associated radio emission (Mattila et al. 2007; Witt et al. 2010; Brandt & Draine 2012). This fraction lies in the range 14% for low-density dust regions to 50% in cirrus-dominated regions. A more direct determination of the free-free emission in dust-embedded H ii features at intermediate Galactic latitudes can be made using radio recombination lines (RRLs). On the Galactic plane this is the only direct method of determining the free-free emission (Hart & Pedlar 1976; Lockman 1976; Alves et al. 2010, 2012). In order to convert the RRL measurements into free-free brightness temperature (Tb), it is necessary to know the electron temperature, Te (as ). The fall in Te towards the Galactic centre seen in individual H ii regions (Shaver et al. 1983; Paladini et al. 2004) also applies to the diffuse free-free emission (Alves et al. 2012). The Planck 70.4 and 100 GHz channels are dominated by free-free emission on the Galactic plane. We will compare the estimates of the free-free from the component separation methods with the direct RRL determination for the longitude range l = 20°−44°.

Anomalous microwave emission (AME) has been observed in numerous experiments operating in the frequency range 1060 GHz and peaks at 2040 GHz (Kogut et al. 1996; de Oliveira-Costa et al. 1999; Banday et al. 2003; Lagache 2003; Finkbeiner 2004; Davies et al. 2006; Miville-Deschênes et al. 2008; Ysard & Verstraete 2010; Gold et al. 2011). It is closely correlated with thermal emission from dust grains. Electric dipole radiation from small, rapidly rotating dust grains is thought to be responsible. Theoretical models predict a spectrum peaking typically in the range 1060 GHz, depending on the properties of the dust grains and their environment (Draine & Lazarian 1998a,b; Ali-Haïmoud et al. 2009; Dobler et al. 2009; Ysard & Verstraete 2010; Hoang et al. 2011). The most compelling evidence for spinning dust grains comes from dedicated observations covering frequencies ranging from the gigahertz radio bands (e.g., COSMOSOMAS, Cosmic Background Imager, Very Small Array) through the millimetre bands of WMAP and Planck to the FIR of IRAS and COBE-DIRBE. The best-studied examples at present are the Perseus molecular cloud (Watson et al. 2005; Tibbs et al. 2010; Planck Collaboration XX 2011) and the ρ Ophiuchi photo-dissociation region (Casassus et al. 2008; Planck Collaboration XX 2011); in these cases the peak is at 25–30 GHz. AME has also been detected in dust clouds associated with H ii regions although with a range of emissivities (Todorović et al. 2010; Planck Collaboration XX 2011; Planck Collaboration Int. XII 2013; Planck Collaboration Int. XV 2014). We will show that the narrow distribution of the total AME emission on the the Galactic plane arises from a range of physical environments that include the diffuse ionized medium, H ii regions, molecular clouds, and dust clouds with a spread of grain properties.

The spectrum of thermal dust is comprised of a cooler large-grain component and a warmer small-grain component (Désert et al. 1990; Planck Collaboration XXIV 2011). The large grains are responsible for the Rayleigh-Jeans emission tail measured by Planck while the small grains are responsible for the emission seen at near-IR wavelengths (~5−40 μm) and also produce AME (Planck Collaboration XXI 2011). The near-IR band also includes emission from polycyclic aromatic hydrocarbons (PAHs) that may also contribute to AME (Tielens 2008; Ysard & Verstraete 2010; Ysard et al. 2010). The PAH fraction is greatest in regions of highest gas and molecular surface density (Sandstrom et al. 2010). Characterizing the Rayleigh-Jeans dust emission in the Planck regime is critical for the present study since it extends into the free-free, synchrotron, and AME domains. It is generally modelled in terms of a dust temperature, Tdust, and a spectral index, βdust, by fitting over a broad spectral range. This is discussed in more detail in Planck Collaboration XIX (2011) and Planck Collaboration XXIV (2011). Conditions on the Galactic plane could be rather different from those at intermediate and high latitudes where the median value of Tdust is 19.7 ± 1.4 K and βdust = 1.62 ± 0.10 (Planck Collaboration XI 2014).

Sections 2 and 3 describe the Planck and ancillary data used in this paper. The analysis methods for component separation are discussed in Sect. 4; these include FastMEM and SEDs. Section 5 describes the separation of the narrow and broad latitude distributions in each emission component and quantifies the narrow component in terms of a Gaussian amplitude and FWHM latitude width. Section 6 gives a discussion of the results of the component separation and uses the relative latitude widths to help understand the physical processes that lead to the different observed widths. The conclusions are presented in Sect. 7.

2. Planck data

Planck (Tauber et al. 2010; Planck Collaboration I 2011) is the third generation space mission to measure the anisotropy of the cosmic microwave background (CMB). It observed the sky in nine frequency bands covering 28.4857 GHz with high sensitivity and with angular resolution from 31to 5. The Low Frequency Instrument (LFI; Mandolesi et al. 2010; Bersanelli et al. 2010; Mennella et al. 2011) covered the 28.4, 44.1, and 70.4 GHz bands with amplifiers cooled to 20 K. The High Frequency Instrument (HFI; Lamarre et al. 2010; Planck HFI Core Team 2011a) covered the 100, 143, 217, 353, 545, and 857 GHz bands with bolometers cooled to 0.1 K. Polarization was measured in all but the highest two bands (Leahy et al. 2010; Rosset et al. 2010). A combination of radiative cooling and three mechanical coolers produced the temperatures needed for the detectors and optics (Planck Collaboration II 2011). Two data processing centers (DPCs) check and calibrate the data and make maps of the sky (Planck HFI Core Team 2011b; Zacchei et al. 2011). Planck’s sensitivity, angular resolution, and frequency coverage make it a powerful instrument for Galactic and extragalactic astrophysics as well as cosmology. Early astrophysics results are given in Planck Collaboration VIIIXXVI 2011, based on data taken between 13 August 2009 and 7 June 2010. Intermediate astrophysics results are now being presented in a series of papers based on data taken between 13 August 2009 and 27 November 2010 (Planck Collaboration Int. IX 2013; Planck Collaboration Int. XII 2013; Planck Collaboration Int. XIV 2014; Planck Collaboration Int. XV 2014) and in the astrophysics papers from the 2013 cosmology results (Planck Collaboration I 2014; Planck Collaboration XI 2014; Planck Collaboration XIII 2014).

In this paper we use Planck data from the 2013 product release (Planck Collaboration I 2014) that are available from the Planck Legacy Archive.2 The data were acquired by Planck during its “nominal” operations period from 13 August 2009 to 27 November 2010. Specifically, we use the nine temperature maps at nominal frequencies of 28.4, 44.1, 70.4, 100, 143, 217, 353, 545, and 857 GHz (see Table 1).

We assume Gaussian beams and use the average beamwidths given in Planck Collaboration I (2014). We note that, due to the smoothing applied here, details of the beam, such as the exact shape of the beam and its variation across the sky, do not significantly affect the results. Furthermore, extended emission is less sensitive to the details of the beam. We convert from CMB thermodynamic units to Rayleigh-Jeans brightness temperature units using the standard conversion factors given in Planck Collaboration (2013). Colour corrections to account for the finite bandpass at each frequency are applied during the modelling of each spectrum; these are typically 13% for LFI and 1015% for HFI. The Planck bands centred at 100, 217, and 353 GHz are contaminated by Galactic CO lines. When determining SEDs for thermal dust we apply a CO correction (see Sect. 3.5).

Table 1

Summary of the data.

3. Ancillary data

Although Planck observed over a wide frequency range (28.4857 GHz), it is still important to include ancillary data to extend the frequency range into the FIR, and in particular, to lower frequencies. To supplement Planck data we therefore used a range of publicly available surveys and data available within the team (Table 1). In the following sections, we describe the various data sets in more detail. We used the most up-to-date versions of the data sets, and where necessary regridded the maps into the HEALPix format (Górski et al. 2005) by using a procedure that computes the surface intersection between individual pixels of the survey with the intersecting HEALPix pixels. This procedure has been shown to conserve photometry (Paradis et al. 2012). We note that there are significant baseline uncertainties (i.e., offsets) in these maps, but these will not affect our results since we are subtracting a broad component from the Galactic emission, which removes any such offset.

3.1. Low-frequency radio data

The radio data include the full-sky map at 408 MHz (Haslam et al. 1982), the full-sky map at 1420 MHz (Reich 1982; Reich & Reich 1986; Reich et al. 2001), and the 2326 MHz HartRAO southern survey (Jonas et al. 1998) (Table 1). For this work we used a raw version of the 408 MHz map3 at 51resolution rather than the widely used National Center for Supercomputing Applications (NCSA) version. The NCSA map has been Fourier filtered to remove large-scale striations and as a result many bright sources have also been subtracted. Since we are considering the total emission in the narrow component, including both point sources and diffuse medium, we use the raw map reprojected to the HEALPix grid at Nside = 512, which is then smoothed from 51to 1°. Striations are visible at intermediate latitudes; however they are less than ~1% of the sky signal on the Galactic plane.

The 1420 MHz full-sky map was multiplied by a factor of 1.55 to account for the main beam to full beam ratio (Reich & Reich 1988). The formal uncertainty on calibration is 5%, but we increase this due to the beam conversion uncertainties. We assume a 10% overall calibration uncertainty for all these radio data sets as in Planck Collaboration Int. XV (2014).

3.2. WMAP data

WMAP 9-year data (Bennett et al. 2013) span 2394 GHz and thus complement the Planck data, particularly the K-band (22.8 GHz) channel. We use the 1°-smoothed maps available from the LAMBDA website and we apply colour corrections to the central frequencies using the recipe of Bennett et al. (2013). We assume a conservative 3% overall calibration uncertainty. The results of using the standard WMAP 1°-smoothed maps and the deconvolved 1°-smoothed maps are within the uncertainties of each other.

3.3. COBE-DIRBE data

To sample the peak of the blackbody curve for temperatures ≳ 15 K we include the COBE-DIRBE data at 240 μm (1249 GHz), 140 μm (2141 GHz), and 100 μm (2997 GHz). The COBE-DIRBE data are the Zodi-Subtracted Mission Average (ZSMA) maps (Hauser et al. 1998) regridded into the HEALPix format. Colour corrections were applied as described in the COBE-DIRBE explanatory supplement version 2.3. We assume a 13% overall calibration uncertainty.

3.4. IRIS data

The IRIS data (Miville-Deschênes & Lagache 2005) are the reprocessed versions of the original IRAS data. Colour corrections are applied as described in the COBE-DIRBE and IRAS explanatory supplements. We assume a 13% overall calibration uncertainty (Beichman et al. 1988).

3.5. CO data

We use the Type 1 modified independent linear combination algorithm (MILCA, Hurier et al. 2013) maps of the CO emission (Planck Collaboration XIII 2014) to derive the latitude and longitude distributions of CO J = 1 → 0 at 100 GHz. There is an overall agreement of 16% across the whole sky between the composite survey of Dame et al. (2001) and the Planck Type 1 CO J = 1 → 0 map. When determining SED estimates, we use the Type 1 MILCA CO maps at 100, 217, and 353 GHz, as in Planck Collaboration Int. XIV (2014). The intensities are accurate to 10%, 2%, and 5% at 100, 217, and 353 GHz respectively (Planck Collaboration XIII 2014).

3.6. RRL data

The RRL data from the H i Parkes All-Sky Survey are used as a measure of the free-free brightness temperature at 1.4 GHz (Alves et al. 2012). The map covering l = 20°−44°, | b | ≤ 4° is regridded into the HEALPix format (Nside = 512) as described in the introduction of Sect. 3 and is in units of millikelvin (Rayleigh-Jeans). These data have an overall calibration uncertainty of 15% arising from systematic biases in the free-free estimate from the measured RRLs. These are due to the assumed electron temperature and to the different conversion factors of antenna to brightness temperature for point sources and for diffuse emission. These will be discussed further in Sect. 6.1.

3.7. Gamma-ray data

The most up-to-date information on the all-sky distribution of gamma-rays is from the Fermi-LAT, the Large Area Telescope on the Fermi Gamma-ray Space Telescope (Atwood et al. 2009), which covers the energy range 20 MeV to 300 GeV. The angular resolution depends strongly on energy. At 1 GeV the 68.6% containment angle is and varies as ~E-0.8 (Ackermann et al. 2012). Fermi-LAT is sensitive to four components of diffuse emission; (i) gamma-rays from cosmic rays interacting with all forms of interstellar gas through π0-production; (ii) bremsstrahlung from cosmic ray electrons (CREs); (iii) inverse Compton (IC) scattering of soft interstellar photons by CREs; and (iv) the extragalactic isotropic emission. Above 10° in latitude and 1 GeV in energy, the extragalactic emission contributes about 20% of the total (Abdo et al. 2010c). In the Galactic plane the π0-produced component dominates; the inverse compton (IC) emission amounts to 515% of the total diffuse emission depending on the energy (Ackermann et al. 2011).

In this study we use data from Dobler et al. (2010) in the energy range 0.51.0 GeV, which represent π0-decay from the total matter distribution, although bremsstrahlung is also significant in this range. Point sources have not been masked and the resolution is 88FWHM. This width is used when deriving the intrinsic FWHM of the gamma-ray emission.

3.8. Pulsar data

The ATNF catalogue of ~2000 pulsars (Manchester et al. 2005) contains all the spin-powered pulsars so far detected at radio frequencies and at soft X-ray and gamma-ray energies. The latter two classes include isolated neutron stars that are spinning down in a similar manner to ordinary pulsars (Lorimer et al. 2006; Keane & Kramer 2008). The pulsar properties of interest to the present work are the positions, distances, dispersion measures (DMs), and characteristic ages estimated from the observed spin-down rates. Most high-energy pulsars are young with ages ≲ 3 × 105 yr; they are concentrated on the Galactic plane and are most likely the counterparts of as-yet unidentified SNRs. Those associated with known SNRs have ages in the range 103−105 yr. By contrast, the millisecond pulsars are very old with ages up to 4 × 109 yr and are more widely distributed in Galactic latitude; they are not of concern in this paper. The pulsar data are uniformly surveyed from l = 270° → 0° → 40°; at 40°<l< 90° the survey sensitivity is lower. The latitude widths discussed in this paper refer to the region l = 320° → 0° → 40° of the highest pulsar count sensitivity.

3.9. HI data

We use the composite H i map available from the LAMBDA website to trace the spatial distribution of the neutral gas. The survey of Hartmann & Burton (1997) samples the sky for declinations δ ≥ −30° every , and is complemented by the lower-resolution survey of Dickey & Lockman (1990) with sampling. Thus the final resolution of the map is survey dependent. These data are given in units of H i column density, converted from velocity-integrated H i brightness by multiplying by the factor 1.8224 × 1018 K km s-1 cm-2. On the Galactic plane this estimate of the H i surface integral will be an underestimate of up to 20% because of the significant optical depth of H i at low Galactic latitudes (Dickey et al. 2009; Kalberla & Kerp 2009).

4. Analysis methods

A first step is to smooth all the maps to a common resolution of 1° using HEALPix Nside = 512 (Górski et al. 2005). This resolution was chosen in order to include significant data sets with resolutions of ~50(see Table 1); these are 408 MHz (51), WMAP K- and Ka-bands (49, 40), COBE-DIRBE (40), and 0.51 GeV gamma-rays (~88).

The next step was to use a common algorithm for identifying the narrow component (1°–2° wide) at each frequency. This ensured that we were working with the emission from the inner Galaxy. The broad local arm and any halo emission were thereby removed. The procedure was to fit a second-order polynomial to the latitude ranges b = −5° to −2° and b = + 2° to +5° and interpolate between −2° and + 2°. First, we estimated the error in the polynomial by propagating the root mean square (rms) uncertainty in the latitude profile measured at high latitudes (| b | > 20°), which was then added in quadrature to the remaining narrow component. A Gaussian fit to the narrow component provides an amplitude and FWHM that are used in the subsequent analysis. The calibration uncertainties of the various data sets given in Sect. 3 are added in quadrature to the Gaussian fit uncertainties for the amplitude error. In order to have a robust estimate of the uncertainties in the latitude width, we also included the difference found between a direct measure of the width at half maximum of the narrow component and the result from the Gaussian fit. This difference is typically 0.̊05 and is included in the tables. The CMB contribution is small compared with the emission on the Galactic plane used in the current study. On a 1° scale the CMB is ≤ 0.1 mK whereas the Galactic emission is ~2 mK at 60100 GHz where the Galactic emission is weakest.

4.1. Component separation methods applied to the Galactic plane

Component separation is of particular relevance to the estimation of the free-free along the Galactic plane where RRL data are not available. As indicated above, an estimate of the free-free unlocks the route to the other components. We use FastMEM (Stolyarov et al. 2002, 2005; Hobson et al. 1998), which is a non-blind method that can be used to separate a number of components with known frequency dependence. It is a model-fitting multi-frequency technique that works in the Fourier or spherical harmonic domain. The technique uses a Bayesian approach to search for the most probable solution for components having known properties (spectral and beam transfer function). FastMEM produces the solution, along with errors, in the spectral domain. It is particularly suitable for regions of high signal-to-noise ratio such as the Galactic plane (Bennett et al. 2013). The results of a comparison of the FastMEM free-free estimates with those of WMAP MEM (Bennett et al. 2013) and the direct RRL free-free estimates for l = 20°−44° are given in Sect. 6.1. A description of the FastMEM technique is given in Appendix A, along with a comparison of results from other codes and from RRLs.

4.2. SEDs along the plane

The multi-frequency data at a common resolution of 1° were used to construct SEDs over appropriate longitude intervals along the Galactic plane at . The units of intensity are MJy sr-1. The various emission components were then identified. The RRL data were used to determine the free-free brightness temperature at each frequency with a well-determined spectral index. Where the RRL data were not available, results of FastMEM (see Sect. 5 and Appendix A) were used. The synchrotron component was determined from the 408 MHz data corrected for the free-free contribution. The thermal dust emission was estimated by fitting to the Planck HFI frequencies and to the IRAS data augmented by the COBE-DIRBE data. After subtracting these three components from the total emission at each frequency, the remainder was taken as the AME emission spectrum.

5. Identification of a narrow component

Figures 1 and 2 show the narrow, bright structure of the inner Galaxy at four characteristic frequencies at which the emission is dominated by just one of the four components considered in this paper. These are (a) the 408 MHz map of Haslam et al. (1982) that is largely synchrotron emission (Alves et al. 2010); (b) the 28.4 GHz map from Planck, which has the strongest AME emission; (c) the 70.4 GHz map from Planck, which is mainly free-free (Planck Collaboration XXI 2011); and (d) the 545 GHz map from Planck, which is entirely thermal emission from large dust grains.

A narrow component of emission, 12° wide in Galactic latitude, is seen in the longitude range l = 270° → 0° → 90° at all frequencies from 408 MHz through Planck frequencies to the FIR and gamma-rays. This is the emission from the star-forming regions within the gas and dust of the inner Galaxy. The spiral arms of this most active star formation in the Galaxy are usually called the Norma-Scutum and the Carina-Sagittarius arms. Figure 3 shows the distribution of H ii regions on the Galactic disk where star formation is occurring, based on the work of Paladini et al. (2004). In the present work we will concentrate on the longitude range l = 300° → 0° → 60°, which encompasses the main emission from the inner arms. We will not be considering in this study the 3 kpc expanding arm or the Cohen-Davies bar of the innermost Galaxy (Cohen & Davies 1976; Bania et al. 2010). We reiterate that the total emission in the narrow component being studied here includes “point” (unresolved) sources such as SNRs, H ii regions, and dust clouds as well as the diffuse medium; the ratio of H ii region point sources to diffuse emission is 2030% on scales of ≃ 15′ (Alves et al. 2012).

thumbnail Fig. 1

Whole sky map at four frequencies showing the narrow inner Galaxy emission: a) the 408 MHz map of Haslam et al. (1982); b) the 28.4 GHz map from Planck; c) the 70.4 GHz map from Planck; and d) the 545 GHz map from Planck. The colour scales are logarithmic, and the maps are in Mollweide projection.

thumbnail Fig. 2

Narrow Galactic emission at four frequencies: a) the 408 MHz map of Haslam et al. (1982); b) the 28.4 GHz map from Planck; c) the 70.4 GHz map from Planck; and d) the 545 GHz map from Planck. The colour scales are logarithmic. The longitude range is l = 270° → 0° → 90°; the latitude range is −20° to + 20°. The maps are in Cartesian projection.

The free-free emission measure (EM) is proportional to the square of the electron density whereas all the other emission components studied here are proportional to the density. The vertical (z) distribution of electron density (ne) can be derived from pulsar DM data in cases where the pulsars have reliable distances. This distribution has a narrow and a broad component. The widely used NE2001 model (Cordes & Lazio 2002, 2003) has a narrow distribution of scale height 140 pc (e− | z | /z0 with z0 = 140 pc; FWHM = 190 pc) and a broad component of scale height 950 pc (FWHM = 1320 pc). Using more recent pulsar data, Lorimer et al. (2006) find that the thickness of the broad component is twice this value. In an attempt to reconcile the DM and EM thickness data of the broad component, Berkhuijsen et al. (2006) introduced a clumpiness (filling) factor to the model that is a function of z. In a comprehensive study, Gaensler et al. (2008) find a broad component with a scale height 1830 pc and n0 = 0.14 cm-3 and a mid-plane filling factor f0 = 0.04 (Berkhuijsen et al. 2006; Gaensler et al. 2008; Schnitzeler 2012). Although we are dealing with the narrow component in this paper, the discussion about a filling factor is relevant to our comparison of latitude distributions. If the warm ISM were simply a uniform mix of ionized and neutral gas/dust with a Gaussian latitude distribution then the FWHM of the EM would be 2− 1 / 2 (or 71%) that of the electron and the neutral gas distributions.

5.1. Latitude distribution

Here we concentrate on the narrow component of the latitude distribution that arises in the ISM and is an integral through the Galactic disk at ~2−14 kpc from the Sun. The emission from the Local/Orion arm and the Gould Belt system in the longitude range being considered mostly arises within a distance of 0.5 kpc and produces a much broader and weaker signal that can be separated from the narrow innermost Galaxy emission. The results of this separation are illustrated in Fig. 4 for a range of frequencies with 1°-smoothed data averaged over the longitude range l = 20° to 30°, which includes the Scutum and Sagittarius arms.

Table 2

Latitude widths and amplitudes of the narrow component in each band (Planck plus ancillary data) for the longitude ranges 20°–30°, 30°–40°, 320°–330°, and 330°–340°.

The 408 MHz amplitudes of the narrow and broad components of the inner Galaxy shown in Figs. 1a and 2a are similar. They are both closely confined to the region of high star formation in the range l = 310° → 0° → 50°. The FWHM of the narrow inner component is , corresponding to a z-width of ~180 pc at a typical distance of 68 kpc. The broad inner component has a FWHM of ~10° corresponding to a z-width of 12 kpc, similar to the values given by Strong (2011) and Mertsch & Sarkar (2013). Lying outside this is a halo component ~10 kpc in thickness (Phillipps et al. 1981; Beuermann et al. 1985; Strong 2011; Strong et al. 2011; Ghosh et al. 2012; Jaffe et al. 2011; Orlando & Strong 2013).

At Planck and IRAS frequencies the amplitude of the broad component is 915% of the narrow component. This broad component arises in the emission from the Gould Belt system within 500 pc of the Sun, and appears strongest at positive latitudes in the longitude range l = 320° → 0° → 40° and at negative latitudes in the range 140°–220° (Perrot & Grenier 2003; Planck Collaboration Int. XII 2013). The CO and gamma-ray broad components have 1220% of the amplitude of the narrow component, and are also associated with the northern Gould Belt system.

We now compare the latitude widths, with errors, of the various components in the longitude ranges l = 320°–340° and 20°–40° averaged in four 10° longitude intervals. Table 2 lists the observed FWHM at 1° resolution and the intrinsic FWHM obtained by deconvolving with a 1° Gaussian for each of the Planck bands. Ancillary data ranging from radio through FIR to gamma-rays are included. There are significant differences in the latitude widths in the different frequency bands. The low-frequency synchrotron emission is broadest. The bands associated with free-free are narrowest, while the dust emission is intermediate. These differences will be discussed in detail in Sect. 6.

A striking feature of Table 2 is the similarity in the widths of the emission bands in each of the longitude ranges l = 330°340°, 20°-30°, and 30°40°, while the widths at l = 320°−330° are 1.35 times larger in each of the bands with a scatter of only 0.05 (at 95% confidence). This suggests that all four regions have similar emission properties, but the emitting region at l = 320°-330° is closer.

thumbnail Fig. 3

Distribution of star-forming regions (H ii regions) in the inner Galaxy, from Paladini et al. (2004, Fig. 12), with the l = 300° → 0° → 60° sector indicated. The relevant spiral arms are also indicated.

5.2. Longitude distribution

We now turn to the longitude distribution of the data sets before studying the properties of each component.

The longitude distribution over the range l = 270° → 0° → 90° at b = 0° of the 1°-smoothed data is shown in Fig. 5 for selected frequencies: 408 MHz (mainly synchrotron), 28.4 GHz (mainly AME and free-free), 70.4 GHz (mainly free-free), 353 GHz (mainly dust), CO, gamma-rays, pulsars (representing supernovae), and 100 μm. Although each of the components represented is of a different origin, they have similar longitude distributions as a consequence of star formation in the regions of highest gas and dust density. Spiral arms can be identified through the longer emission length at their tangent points as seen from the Sun; the Carina arm tangent is seen at l = 300°, the Norma tangent at l = 330°, the Scutum tangent at l = 25°, and the Sagittarius tangent at l = 45°. These tangent points are at galactocentric distances of of 6.5, 4.5, 4.5, and 6.5 kpc respectively, assuming a solar galactocentric distance of 8.5 kpc (Clemens 1985).

Strong emission is seen in all the data sets in the longitude range l = 357° → 0° → 3° around the Galactic centre, but we do not consider this region in the present study. Individual extended star-forming regions are seen in all the data sets, including Cygnus-X at l = 80° and the Gum Nebula complex at l = 286°. More compact star-forming regions on a scale of or less are seen at 408 MHz and the lower Planck frequencies at l = 283°, 287°, 306°, 328°, 31°, and 50°.

6. Discussion of the components

In Sect. 5.2 (Fig. 5) we showed the longitude distribution of the emission at b = 0° from l = 270° → 0° → 90° in different frequency bands from radio to FIR. The strongest emission is clearly associated with the inner spiral arms in quadrants IV (l = 270°360°) and I (l = 0°90°). First, we consider each emission component in turn, taking account of the latitude distribution and its expected spectral index to be used in the subsequent component separation. Then we determine SEDs at intervals along the Galactic plane at b = 0°, and the longitude distribution of each emission component between l = 300° and 60°.

6.1. The free-free component

RRLs provide a direct estimate of the free-free emission on the Galactic plane that is unaffected by the absorption that has to be taken into account for the Hα measures that are commonly used at intermediate latitudes. We have a fully sampled map of the RRL emission for the region l = 20° to 44° and b = −4° to +4° (Alves et al. 2012), which can be used as a robust measure of the free-free emission in this range (Dickinson et al. 2003). These RRL data can be used to check the calibration of the FastMEM free-free estimate for the rest of the plane considered in this study (the parameters used are outlined in Sect. 4 and Appendix A). The ratio of the FastMEM brightness amplitude to the WMAP MEM value for the narrow component is 1.02 ± 0.05, while a similar comparison between the FastMEM and the RRL brightness temperatures gave a ratio of 1.19 ± 0.06. The question of systematic errors in the different datasets or analyses is discussed in Appendix A.

A possible systematic error in RRL free-free estimates is the uncertainty in electron temperature. We have adopted an average value of 6000 K (Alves et al. 2012); an increase of this value by 600 K would increase the brightness temperature by 10%. No correction has been applied for non-LTE factors (Stark broadening and stimulated emission), which act in opposite senses and which in any case are small at 1.4 GHz in low-density regions such as the diffuse gas on the Galactic plane (Shaver 1980; Gordon & Sorochenko 1990). We assign an overall error of 15% in the amplitude of the free-free contribution.

thumbnail Fig. 4

Latitude distribution of various components averaged over the longitude range 20° to 30°. The first and third columns show the total emission (solid line) with the parabolic fit (dotted line) and the second and fourth columns show the narrow component. The pulsar data are at Nside = 64 to account for the low sampling and include all ages; young and old pulsars are shown separately in Fig. 7. The northern Gould Belt system can be seen at positive latitudes at all frequencies. The broad 15° wide synchrotron component is evident in the 408 MHz cut.

thumbnail Fig. 5

Longitude distribution of emission components along the Galactic plane at b = 0° in the range l = 90° to 270°. The data are all smoothed to 1° resolution except the gamma-ray data with a FWHM of 88. The components shown are 408 MHz (mainly synchrotron), 28.4 GHz (similar AME and free-free), 70.4 GHz (mainly free-free), 353 GHz (dust), CO, gamma-rays, pulsar numbers (representing supernovae), and 100 μm. The gamma-ray and pulsar data are at Nside = 64 and Nside = 32 respectively, to account for the relatively low sampling. The pulsar data are uniformly surveyed from l = 270° to 40°; at l = 40° to 90° the survey sensitivity is lower. The Galactic centre is off-scale so that the diffuse emission can be displayed.

In addition, there are possible systematic errors in the FastMEM analysis, such as the contribution from the other emission components in the frequency range used in the analysis. Tests by varying the input parameters by reasonable amounts indicated that systematic effects were less than 10% (see Appendix A). On the basis of these results we adopt a conversion factor of 1.10 for the RRL data and use the FastMEM data reduced by 10% where the RRL data are not available.

The latitude distribution of the l = 20° to 30° region of the narrow free-free component determined from RRLs at 1.4 GHz and from FastMEM is compared with the WMAP 60.7 GHz and the Planck 70.4 GHz total emission in Fig. 6, where the amplitudes have been normalized at b = 0°; only the narrow components are plotted. The 60.7 and 70.4 GHz emission is mainly free-free (7090%) as will be shown in Fig. 9 (see Sect. 6.4). The 60.7 and 70.4 GHz latitude profiles from the two space missions are essentially identical.

Table 3 gives the intrinsic width of each of the free-free related components for the four longitude ranges under study. The average intrinsic width of free-free calculated from the RRL analysis for l = 20°–40° is . The width of the emission at velocities corresponding to the Sagittarius and the Scutum arms is somewhat narrower at and respectively (Alves et al. 2012). The average of the 60.7 and 70.4 GHz FWHM is . The FWHM value found from FastMEM is . We conclude that the FWHM of the free-free emission is in the longitude range l = 20°–40° using all the free-free data. A similar result is found for the l = 330°340° range; the l = 320°330° range is broader in all components by a factor of 1.35 ± 0.05 due to bright structures adjacent to the plane.

Table 3

Intrinsic latitude FWHM of free-free emission and related distributions for four longitude ranges.

Table 4

Intrinsic latitude FWHM of synchrotron and related data for four longitude ranges.

The related data from the literature include the 99 GHz line of CS J = 2 → 1, which identifies the regions of dense gas that are the sites of massive OB star formation (Bronfman et al. 2000). This line is integrated through the Galaxy and as published is averaged over the full longitude range; 79% lies in quadrants IV and I of the inner Galaxy. The CS FWHM is , which Bronfman et al. estimate as 74 pc within the solar circle at distances of RG = 0.5−0.8R from the Galactic centre. Wood & Churchwell (1989) have identified the regions of massive star formation in molecular clouds, including ultracompact H ii regions, by using their FIR two-colour properties. They find that the distribution of massive star candidates has a FWHM of corresponding to a scale height (e−|b| /b0 with ); this is equivalent to a FWHM of 125 pc at an average distance of 8.5 kpc. We see that the OB-star latitude widths of are significantly narrower than those of the free-free emission as determined by the RRLs and the component separation results. This implies that the ionizing radiation from the OB stars is not fully absorbed in the dense molecular clouds in which they are born, but escapes into the surrounding lower density gas that it ionizes. Some of the broadening of the 60.7 and 70.4 GHz channels relative to the RRL emission is due to the contribution from AME, which will have the same width as the broader 100 μm dust listed in Table 2. AME in the 6070 GHz range is 1020% of the free-free as given by the SEDs.

The free-free width from RRLs () is significantly less than that of the total gas density as measured by the CO (), 100 μm dust (), and Planck 545 GHz (). This indicates that the fractional ionization decreases away from the OB stars on the plane.

thumbnail Fig. 6

Latitude cuts for the narrow free-free-related component in the longitude range l = 20° to 30° for RRLs, FastMEM, WMAP 60.7 GHz, and Planck 70.4 GHz. These are normalized to match the FastMEM solution at b = 0° in order to show their relative widths. The re-scaled 60.7 GHz and 70.4 GHz cuts match at all latitudes and are thus not visible separately.

We can compare the latitude distribution of the free-free emission, which is proportional to the emission measure (), with the dispersion measure () obtained from pulsar measurements. Narrow and broad ne distributions have been identified in modelling the Galactic electron distribution (Cordes & Lazio 2002, 2003; Lorimer et al. 2006; Berkhuijsen et al. 2006; Gaensler et al. 2008). These studies give a thin component with thickness FWHM of 190 pc and a thick disk estimated to be in the range 9001800 pc. They are mainly based on nearer pulsars as compared whilst the free-free emission is integrated through the depth of the Galaxy. We would expect the free-free to have a narrower distribution because of its dependence on (Gaensler et al. 2008). This is indicated by the present data for the inner Galaxy where the FWHM of the free-free emission in the Sagittarius and Scutum arms has a FWHM of 100 pc (Alves et al. 2012). A level of clumping (filling factor) is required to bring the EM and DM into agreement. This clumping is already evident in the EM data (Reynolds et al. 1998; Berkhuijsen & Müller 2008; Alves et al. 2012).

6.2. Synchrotron

thumbnail Fig. 7

Latitude cuts in bands relevant to synchrotron emission averaged over the longitude range 20°–30°. These are 0.408, 1.4, and 2.3 GHz, WMAP K-band polarized intensity, and pulsar number counts. A reference age of 106 yr is chosen to define young and old pulsars. No parabolic fit is made to the separate pulsar population cuts.

6.2.1. Separation of free-free and synchrotron

There is a long-standing difficulty of separating free-free and synchrotron emission on the Galactic plane (e.g., Broadbent et al. 1989; Bennett et al. 2003; Paladini et al. 2003; Sun et al. 2011). This problem can be solved by using RRL data. Three well-calibrated maps of synchrotron continuum emission with angular resolution better than are available, namely those at 0.408, 1.4, and 2.3 GHz. For the longitude range l = 20°–44° these maps can be corrected for free-free emission using RRL data (Alves et al. 2012). Over this longitude range at b = 0°, the mean brightness temperature of the synchrotron narrow emission (5.0 K) is similar to that of the free-free emission (4.6 K) at 1.4 GHz. Accordingly, the free-free emission in the narrow component is 0.31 and 1.43 times the synchrotron at 0.408 and 2.3 GHz respectively, assuming a synchrotron spectral index of −3.0. For a spectral index of −2.7 these ratios are 0.44 and 1.22.

Figure 7 shows the raw latitude cuts for the three frequencies, 0.408, 1.4, and 2.3 GHz, that contain significant amounts of synchrotron emission, along with cuts for related emission mechanisms. The ratio of the brightness of the broad synchrotron disk to that of the narrow disk is 0.75, 0.57, and 0.43 at 0.408, 1.4, and 2.3 GHz respectively, for the longitude range l = 20°–30°. After correcting for the contribution from free-free, these ratios are similar (1.18, 1.12, 0.98), suggesting that the spectral indices of the narrow and the broad disk synchrotron components are similar in the range 408 MHz to 2.3 GHz. We might expect the latitude distribution of the synchrotron emission at ~1 GHz and Planck LFI frequencies to be similar since the diffusion length in ~10 μG magnetic fields is greater than 1 kpc for the 450 GeV electrons responsible (Mertsch & Sarkar 2010, 2013). We see that the polarized 23 GHz width of the inner Galaxy is indeed similar to the ~1 GHz widths (Fig. 7 and Table 4). This same is not true of the larger-scale haze emission (Mertsch & Sarkar 2010; Dobler 2012; Planck Collaboration Int. IX 2013).

We note that at | b | > 5° the free-free emission is < 5% of the value at b = 0° and accordingly we conclude that the broad synchrotron component at | b | = 5° is essentially uncontaminated by free-free (at levels of 1.9, 3.4, 5.2% at 0.408, 1.4. and 2.3 GHz respectively).

Table 4 gives the intrinsic widths of the narrow, synchrotron-dominated, low-frequency latitude distribution for the longitude ranges l = 20°–30°, 30°–40°, 320°–330°, and 330°–340°. Note that in going from 0.408 to 2.3 GHz the free-free content becomes comparable with the synchrotron emission. This may explain the slight narrowing at 2.3 GHz. Typical synchrotron FWHM intrinsic widths are . This value may be compared with the width of the polarized emission in the WMAP 23 GHz K-band data (Bennett et al. 2013), which is ; the polarized emission is the only direct measure of a synchrotron component that is uncontaminated by free-free at WMAP and Planck frequencies. Both these values are significantly greater than the total matter-width as represented by the dust as given by the Planck 545 GHz channel () or the gas as given by the CO () and the CS () distributions.

6.2.2. Origin of the narrow component

We turn now to a comparison of the widths of the distributions of the synchrotron emission, pulsars, and gamma-rays, which all originate in the supernovae associated with the collapse of massive OB stars with FWHMs of .

  • (a)

    Pulsars. Pulsars are formed during the core collapse of the OBstars with ejection velocities having a component perpendicularto the Galactic plane of 100200 km s-1 (Chatterjee et al. 2009). Figure 7 shows the broader distribution of pulsars older than 106 yr relative to that of the younger pulsars in the longitude range l = 20°–30°. The width for younger pulsars is ~2°, which is comparable to the width of the synchrotron emission and significantly broader than that of the nascent OB stars.

  • (b)

    Gamma-rays. Interstellar gamma-rays are produced by π0-decay following the collision of relativistic cosmic ray protons with gas (principally atomic and molecular hydrogen). The relativistic cosmic ray protons and electrons themselves are accelerated by diffusive shock acceleration at collisionless shocks driven by the SN explosions (Blandford & Ostriker 1978). The 1100 GeV CREs produce radio synchrotron emission in the enhanced magnetic fields of the SNRs while the low energy (1 GeV) electrons can produce gamma-ray bremsstrahlung. The CR protons generate gamma-rays by π0-decay in the swept-up SN gas or in any adjacent gas. IC gamma-rays may also be produced in regions of high radiation field. Good examples of young SNRs demonstrating these emission processes include Cas A, the Crab nebula, and W49B (Abdo et al. 2010a,b,d). Accordingly it is expected that the distributions of CR electrons and protons and gamma-rays will follow that of the pulsars (Strong et al. 2010). The relativistic electrons responsible for the Galactic synchrotron emission are initially held in the magnetic field of the expanding SN shell and will escape into the ISM as its magnetic field weakens (Strong et al. 2011; Mertsch & Sarkar 2013). The escaping CR protons generated in the continuing star-formation and subsequent collapse on the Galactic plane are expected to interact with the atomic and molecular hydrogen on the Galactic disk to produce a gamma-ray distribution similar to that of the gas. Table 4 indicates that the gamma-ray FWHM (~1.̊3) is indeed consistent with the higher Planck frequencies, 100 μm, and CO with a FWHM of 1.̊21.̊3.

We now consider the possible reasons for the greater width of the synchrotron emission distribution as compared with that of the nascent OB stars. After the birth of an SNR the high energy CREs will escape, leaving the low-energy (2100 GeV) CREs trapped by magnetic fields in the SNR emitting with a brightness temperature spectral index of βsynch ≈ −2.5; this is a mean value at 1 GHz although there is a spread of ± 0.2 (Green 2009; Delahaye et al. 2010). Those CREs that escape will have radiative energy losses and steepen to βsynch ≈ −3.0 at tens of gigahertz in the Planck frequency range. These eventually escape into the Galactic halo at intermediate latitudes with a thickness estimated at 1 to 10 kpc (Strong 2011; Strong et al. 2011) and have this spectral index of −3.0 (Davies et al. 2006; Gold et al. 2011; Jaffe et al. 2011; Ghosh et al. 2012). Assuming no reacceleration, the spectral indices will also apply to the narrow Galactic plane synchrotron component (Strong et al. 2011). We propose that the narrow synchrotron layer is comprised of the SNRs of all ages up to the time the remnants merge into the general ISM at intermediate latitudes at a height of several kiloparsecs. On the timescale of the oldest SNRs (50 000 yr, Milne 1971) the diameters reach ~30 pc. The observed synchrotron broadening () corresponds to an effective FWHM of 170 pc at a mean distance of 6 kpc. This extra broadening relative to the OB stars (80 pc) is most likely made up of SNR expansion and proper motions of several tens of kilometres per second. Over an effective SNR lifetime of 105106 yr, which is also the age of the pulsars, these motions could account for this broadening. On this timescale about 103104 supernovae and (O-star) progenitors would have been born.

Strong confirmation of the identification of a narrow synchrotron component on the Galactic plane is provided by the WMAP observation of 23 GHz polarization with the same width as the narrow component of the 408 MHz synchrotron total intensity (Fig. 7 and Table 4). The magnetic field alignment is parallel to the Galactic plane and is the ordered field that permeates the Galactic disk. The fractional polarization on the Galactic plane at WMAP frequencies, where synchrotron emission is 10% of the total intensity at most, can be estimated using the 408 MHz data (corrected for free-free) and assuming a spectral index. If a spectral index of −3.0 between 408 MHz and WMAP frequencies is assumed, as indicated by various observations (Davies et al. 2006; Kogut et al. 2007; Miville-Deschênes et al. 2008; Dunkley et al. 2009b; Gold et al. 2009, 2011; Ghosh et al. 2012), the percentage polarization of the narrow synchrotron component is 50%. If the spectral index were −2.8, the polarization would be 30% in this 170 pc-wide component. In either case the percentages for the narrow Galactic plane component are evidently higher than at intermediate latitudes where it has been found to be 1020% on average in an earlier analysis of WMAP data (Kogut et al. 2007; Macellari et al. 2011), however it can be up to 4050% in some regions. This reflects the fact that the aligned fraction of the field is greater on the plane and is therefore more significant in the narrow latitude component we have identified.

The lower polarization (510% averaged over l = 20°–30° in Fig. 7) in the | b | range 2°–5° is the consequence of the superposition of filaments leaving the Galactic plane having magnetic fields with a major component perpendicular to the plane, thereby cancelling the polarization parallel to the plane.

6.3. Thermal (vibrational) dust

Two types of dust grain contribute to FIR emission. Larger grains emit in the COBE-DIRBE/Planck bands and the IRAS 60 and 100 μm bands. Smaller warm grains radiate in the 25 and 12 μm IRAS bands and are also responsible for the AME emission at gigahertz frequencies. In this section we examine the latitude distribution and spectrum of the large grains.

6.3.1. Thermal dust – latitude distribution

thumbnail Fig. 8

Latitude profiles of Planck frequency bands and ancillary data relating principally to thermal dust, for l = 20°–30°.

Table 5

Intrinsic latitude FWHM of thermal dust emission and related data for four longitude ranges.

Figure 8 shows latitude cuts at three Planck bands that sample vibrational dust, along with relevant ancillary data. The narrow inner Galaxy dust distribution is clear and is the major component on the plane in these bands. The weaker extended emission at positive latitudes is from the northern Gould Belt, which lies within the local spiral arm. The intrinsic latitude widths of the emission in the Planck bands for the four longitude ranges 20°–30°, 30°–40°, 320°–330°, 330°–340° are given in Table 5 along with widths for ancillary data of interest. The widths at the four Planck frequencies in the range 143857 GHz are remarkably consistent at , , and for l = 20°–30°, 30°–40°, and 330°–340° respectively; at l = 320°–330° the widths are greater by a factor of 1.35 ± 0.05. This agreement shows that these frequency bands are all sampling dust with the same emission properties. The widths of the FIR bands of COBE-DIRBE (140 μm, 240 μm) and the 100 μm band of IRAS are consistent within each of the three longitude ranges with FWHM widths of , , and , similar to those of the Planck bands. In each of the longitude ranges, on going to shorter wavelengths the width falls to a minimum of at 60 μm and rises again to at 12 μm; this is the small grain dust thought to be responsible for AME. We consider the implication of these results further in Sect. 7.

We might expect the dust distribution at Planck frequencies to follow that of the gas, as indicated by the strong correlation between the Planck sky at HFI frequencies and H i (Planck Collaboration XIX 2011). We should therefore compare the direct dust data with other estimates of the total gas mass distribution in the Galactic plane. CO is generally considered to be a proxy for molecular hydrogen in the denser phases. The CS molecule has also been proposed as an indicator of the denser molecular clouds in which star-formation is currently occurring (Bronfman et al. 2000). CO is an indicator of somewhat less dense gas. The intrinsic width of CS averaged over the inner Galaxy is while that of the CO in the longitude ranges 20°–30° and 30°–40° is 1.̊09 and 1.̊17 respectively, showing that denser star-forming gas has a narrower distribution than that of the dust measured in the Planck HFI channels.

Another indicator of the total gas surface density is the gamma-ray brightness (Grenier et al. 2005). The gamma-ray intrinsic width averaged over the three longitude ranges (l = 20°-30°, 30°-40°, and 330°-340°) is , similar to the molecular indicators. In contrast, the apparent H i width is significantly greater at (Tables 5 and 9). The conversion of the observed latitude profile to a true H i surface density profile requires a correction for the higher optical depth on the Galactic plane, leading to a narrower FWHM. The total gas distribution (H i + H2) will be narrower again, approaching the gamma-ray FWHM.

Table 6

Thermal dust properties from SEDs using MILCA for CO and fitting two βdust values.

6.3.2. Thermal dust spectrum via SEDs

The wide frequency coverage of the present data set allows a well-sampled spectral energy distribution (SED) to be determined at points along the Galactic plane. The four emission components (synchrotron, free-free, AME, and thermal dust) all have established spectral shapes, so the observed brightness temperature Tb can be expressed as a sum: (1)where

  • Tsynch has a brightness temperature spectral index βsynch = −2.7 in the frequency range 0.408 to 2.3 GHz (Platania et al. 1998, 2003; Peel et al. 2012), which steepens to −3.0 at WMAP and Planck frequencies (Banday et al. 2003; Davies et al. 2006; Kogut et al. 2011; Ghosh et al. 2012).

  • Tff has a spectral index of −2.10 to −2.12 over the LFI frequency range and steepens −2.14 at 100 GHz due to the Gaunt factor (Draine 2011). The free-free brightness can be determined directly from RRLs, which can also be used to calibrate the FastMEM analysis.

  • Td = τν0(ν/ν0)βdustB(ν,Tdust), where (2)is a blackbody spectrum modified by a low frequency spectral index βdust, and τν0 is the dust optical depth at a reference frequency ν0 = 353 GHz. There is strong evidence for a break in βdust, with a flatter value, βmm, at ν< 353 GHz, and a steeper value, βFIR, at ν ≥ 353 GHz (Paradis et al. 2009; Gordon et al. 2010; Galliano et al. 2011; Planck Collaboration Int. XIV 2014).

  • TAME is calculated as a residual after correction for the other components but can also be fitted to models (Planck Collaboration XX 2011; Planck Collaboration Int. XII 2013).

  • TCMB is the CMB fluctuation amplitude on scales of 1° or larger appropriate to the present study. These signals are < 100μK and can be neglected in comparison with the millikelvin Galactic plane signals.

The dust parameters βFIR, βmm, τν0 and Tdust are determined from the fit to the Planck HFI data supplemented with the COBE-DIRBE data, where the spectral indices βFIR and βmm are fitted to the data above and below 353 GHz, respectively. The CO contribution at 100, 217 and 353 GHz is removed using the MILCA maps (Sect. 3.5). We perform a least-squares fit using the IDL MPFIT routine (Markwardt 2009), taking into account the noise (both statistical and systematic) and colour corrections to the HFI and DIRBE data.

thumbnail Fig. 9

SEDs over full frequency range 0.408 GHz to 3000 GHz, for the longitude ranges a) l = 20°–30°; b) 30°–40°; c) 320°–330°; and d) 330°–340°. The points show the total emission, which is separated into free-free from the RRL and FastMEM data (dotted line), synchrotron from the free-free-corrected 408 MHz data (dashed line) and thermal dust (dot-dashed line). The total of the four components is given by the full line. AME is the residual (long-dash-dotted line). The conversion factor from intensity to brightness temperature at 28.4 GHz is 40 mK MJy-1 sr.

thumbnail Fig. 10

AME spectra for the longitude ranges a) l = 20°–30°; b) 30°40°; c) 320°–330°; and d) 330°–340°. The spectra cover the frequency range 23143 GHz and are in units of intensity. The conversion factor from intensity to brightness temperature at 28.4 GHz is 40 mK MJy-1 sr.

Table 6 shows that the values for Tdust, βFIR, and βmm are similar in each of the four sections of the inner Galactic plane. The low values of reduced χ2/d.o.f. with d.o.f. = 5 indicate that the errors assigned to the data are overestimates. The errors given for the average values in Table 6 are more realistic estimates of the scatter between the four regions. Our average values for the regions l = 320°–340° and l = 20°–40° using a FWHM of 1° on the Galactic plane are Tdust =20.4 ± 0.4 K, βFIR = 1.94 ± 0.03, and βmm = 1.67 ± 0.02 (Table 6). These β values are in agreement with a similar analysis (Planck Collaboration Int. XIV 2014) of the region l = 20°–44° at | b | < 1°, which found median values of βFIR = 1.88 and βmm = 1.60 with standard deviations of 0.08 and 0.06 respectively, which are the spread of values across the chosen region.

Figure 9 shows the SEDs for Galactic plane emission averaged over the four 10° intervals l = 20°–30°, l = 30°–40°, l = 320°–330°, and l = 330°–340° at b = 0°. The synchrotron spectrum is a fit to the lower frequencies (0.408−2.3 GHz) with βsynch = −2.7 up to 2.3 GHz and βsynch = −3.0 at higher frequencies. The free-free emission is based on the RRL data supplemented by the FastMEM analysis using a spectral index of −2.10 to −2.12 over the LFI frequency range (Draine 2011). The two-component dust emission is derived from a least-squares fit to the HFI data as described above. The AME emission is the remainder and is shown as a fit to a equal combination of warm ionized medium (WIM) and molecular cloud (MC) models of AME emission (Ali-Haïmoud et al. 2009).

6.4. AME estimated from SEDs

Table 7

AME fractions in the four longitude ranges shown in Figs. 9 and 10.

Table 8

Comparison of AME with free-free and 100 μm emission in the innermost (l = 5°–30° and 330°–355°) and the outer (l = 30°–60° and 300°–330°) regions of the inner Galaxy as shown in Fig. 11.

Since AME is expected to be correlated with the dust distribution, on the plane it is not possible to use morphology to separate it from other emission components as is the case at higher latitudes. On the Galactic plane we use SEDs to separate the various emission components using their spectral shapes. Figure 9 shows the spectra of the synchrotron, free-free and thermal dust as described in Sect. 6.3.2. AME is the remainder of the total emission and is shown in more detail in Fig. 10 for the four longitude ranges l = 20°–30°, 30°–40°, l = 320°–330° and 330°–340°. The combination of WIM and MC spinning dust models (Draine & Lazarian 1998b; Ali-Haïmoud et al. 2009) shown for comparison is a good fit to the data points. The peak emission is at ~25 GHz, which is in agreement with the values of 25.5 ± 1.5 GHz for molecular clouds in the Gould Belt system at intermediate latitudes (Planck Collaboration Int. XII 2013). A study of AME regions (Planck Collaboration Int. XV 2014) found a peak frequency around 28 GHz.

The AME fractions of the 28.4 GHz total emission in the l = 20°–30°, 30°–40°, 320°–330°, and 330°–340° regions are given in Table 7. The errors shown in Fig. 10 and Table 7 are a combination of the uncertainties in the Gaussian fit of the amplitude of each latitude profile (and taking account of the error in the underlying broad component). These uncertainties are propagated in the models of free-free, synchrotron, and dust that are removed from the observations in order to derive the AME amplitude. The AME is well determined with significance in the range 5.69.7σ. The mean value of the AME-to-total fraction at 28.4 GHz is 0.44 ± 0.03.

As shown in Fig. 10 and Table 7 there is a significant steepening of the spectral index of the AME emission between 28.4 GHz (βAME = −2.2 ± 0.3; obtained from 22.8, 28.4 and 33.0 GHz) and 70 GHz (βAME = −3.3 ± 0.4; obtained from 40.7, 44.1, 60.7 and 70.4 GHz). The steepening is compatible with spinning dust models but is not well-defined due to the uncertainty in the extrapolation of the dust model below 100 GHz.

A question arises as to whether the 2060 GHz excess is due to a population of ultracompact H ii regions (Wood & Churchwell 1989; Kurtz 2002; Dickinson 2013). This matter is discussed in Planck Collaboration Int. XV (2014) where the 100 μm flux densities from IRAS are used to determine an upper limit to the contribution from ultracompact H ii regions. We find that in the l = 20°30° region (| b | < 0.°5) there are 907 IRAS sources, of which 100 have colours that indicate them being candidate ultra compact H ii regions. Summing their 100 μm flux densities, and converting to an upper limit at 15 GHz gives an average of 17 Jy deg-2, or an upper limit of 2 mK at 28.4 GHz. This compares with the observed value of 23 mK in this region, as seen in Fig. 4. We conclude that ultracompact H ii regions are a minor contribution to the emission on the Galactic plane in the 2060 GHz range.

6.5. The longitude distribution of the four components

thumbnail Fig. 11

Longitude distribution of all four components derived from SEDs and component separation, in 5° longitude intervals. The thermal dust is at 545 GHz scaled down by a factor of 100. The free-free, AME, and synchrotron, have been scaled to 28.4 GHz. The conversion factor from intensity to brightness temperature at 28.4 GHz is 40 mK MJy-1 sr.

Figure 5 shows the longitude distribution of the total emission at b = 0° for illustrative frequencies. The emission is smoothed to 1° resolution and includes the diffuse, broader latitude emission as well as point sources. The total emission is strongest in the inner Galaxy for l = 300° → 0° → 60° where it is 510 times that at l = 80°–90° or l = 270°–280°. Individual features in the local spiral arm can be seen in all four emission components at l = 73°–85° (Cygnus X) and l = 282°–295°.

In order to give an overview of the longitude distribution of each of the four emission components, the intensities are derived for longitude intervals of 5°. This interval also gives a robust SED from which to separate the components. Figure 11 shows the distribution of the four emission components at b = 0° at l = 300° → 0° → 60° averaged over 5° intervals in longitude. The synchrotron emission is given by the 408 MHz emission corrected by free-free; this correction is typically 20% on the plane (Alves et al. 2012). The free-free emission is estimated from RRL data and the FastMEM analysis. The thermal dust indicator is the Planck 545 GHz emission, which is not contaminated by the other emission components. The AME emission is the residual when the other three components are subtracted from the total emission. For ease of comparison in Fig. 11, the synchrotron, free-free, and AME are evaluated at 28.4 GHz, which is close to the peak of the AME emission.

The longitude distributions of the four emission components shown in Fig. 11 are broadly similar, as might be expected from Fig. 5. The highest rate of star formation is occurring in the inner two spiral arms of the Galaxy (Bronfman et al. 2000; Wood & Churchwell 1989; Alves et al. 2012). The velocities of the gaseous components show that the inner arms located between RG = 4 to 6.5 kpc are responsible. We note the increase in emission of all components towards the Galactic centre; the spiral arms are not differentiated because of the 5° smoothing and the use of a logarithmic scale. The outer arms sampled at l = 270°–300° and at l = 60°–90° are a factor of 34 less bright than the inner arms. The inference from Fig. 11 is that all four components studied here are tightly related to current star formation.

7. Discussion and conclusions

Table 9

Intrinsic latitude widths of various Galactic components.

We have identified four components of emission within the inner Galaxy that are narrow in Galactic latitude; their emission extends over the whole frequency range of Planck and into the radio, FIR, and gamma-ray regions. Their longitude distribution is similar in all these bands, and indicates that this emission originates within the inner spiral arms, principally the Carina-Sagittarius arm and the Norma-Scutum arm, as shown in Figs. 3 and 5 and discussed in Sect. 5.2. The FWHM width in the range 1° to 2° of the various components corresponds to a FWHM z-thickness of 100 to 200 pc at the distance of the spiral arms. A principal result relating to Galactic structure is the difference in latitude width of the various emission components. These differences reflect the different formation processes and life-histories of the components. The FWHM data are summarized in Table 9.

7.1. Free-free

The free-free emission is determined by RRL observations in the range l = 20°–44° and by a FastMEM analysis over the rest of the range, l = 300° → 0° → 60°. Free-free is the narrowest of the four components with a typical FWHM of , which is wider than that of the recently formed OB stars (; Wood & Churchwell 1989) and dense molecular clouds (; Bronfman et al. 2000) but narrower than H i (), FIR dust (), and the Planck dust (). This narrowing of the young stellar population distribution relative to that of the gas is a consequence of the star formation rate being a nonlinear function of gas density – normally taken as proportional to . This process naturally narrows the latitude distribution of the young stars relative to that of the gas and dust. Similarly the free-free latitude distribution will be narrower than that of the gas and dust since the free-free brightness is proportional to the EM ().

7.2. Synchrotron

The synchrotron study has identified a narrow latitude distribution with , which is superposed on a broader Galactic halo distribution of FWHM ~ 10°, as shown in Figs. 1 and 2. At 408 MHz these two distributions have similar brightness temperatures at b = 0° in the inner Galaxy. The synchrotron emission reflects the current CRE distribution, modified by the local magnetic field B as B1.7B2.0 (Strong et al. 2011) for the range of spectral indices considered here. These observations suggest the following scenario. The OB star population produces SNe in a narrow distribution on the plane. These SNe are the source of the CREs. As the SNRs expand over their 105106 yr lifetime, the CREs continue to produce synchrotron emission in the magnetic fields of the decaying remnants. Other CREs escape from the SNRs and radiate in the ordered magnetic field of the plane. This ordered magnetic field in the inner Galaxy produces the narrow band of highly (3050%) polarized emission on the plane seen in the WMAP K, Ka, and Q bands, which is a further justification for identifying this narrow band as a separate synchrotron component. In contrast, the synchrotron polarization at latitudes | b | = 2°–5° is markedly lower at a level of 510%, presumably as a result of the tangled structures seen in the WMAP polarization maps.

Related information comes from the SNR and pulsar latitude distributions. The latitude distribution of SNRs in the Green (2009) catalogue has a FWHM of ~1.0°, very similar to that of the parent OB star population. Normal pulsars (neutron stars) formed in the SN event also have lifetimes of 105106 yr and have proper motions with a component perpendicular to the plane of ~200 km s-1. In the pulsar lifetime they will have travelled ~100 pc giving a FWHM of ~2° at a distance of 6 kpc, a value consistent with observation (Fig. 7, Table 4) again significantly broader than the OB star distribution. Pulsar and OB star data indicate that the current SN rate for our Galaxy is 24 per century (Keane & Kramer 2008; Wood & Churchwell 1989); this would imply ~6000 pulsars and SNRs on or near the Galactic plane with ages up to ~105 years. These SNRs could make a significant contribution to the narrow distribution on the plane and provide the disordered magnetic field at intermediate latitudes seen in WMAP polarization data.

7.3. AME

AME is clearly identified in the SED analysis where the Planck data define the high frequency side of the expected peaked spectrum (Draine & Lazarian 1998a). The AME emission is the main emission component on the plane along with free-free emission over the frequency range 2070 GHz. Above 70 GHz thermal dust becomes a significant contributor. The ratio AME/free-free for the diffuse emission on the Galactic plane is of interest for comparison with that of individual H ii regions. The longitude distributions of both AME and free-free in Fig. 11 indicate that there is an overall correlation between them. The weighted average value of AME/free-free for the longitude range l = 300° → 0° → 60° is 0.75 ± 0.03 as measured at 28.4 GHz (see Table 8). There appears to be a marginally significant increase in the ratio between the innermost (0.71 ± 0.04) and the outer (0.80 ± 0.04) regions of the inner Galaxy. There is a similar increase in the ratio of AME to 100 μm dust emission (7.1 ± 0.4 to 9.8 ± 0.5 mK MJy-1 sr; see Table 8). These values may be compared with other estimates of AME in the total emission at 28.4 GHz: Planck Collaboration Int. XV (2014) found the average AME fraction to be 0.50 ± 0.02 for individual bright AME regions, compared with the average value of 0.45 ± 0.01 found here for the combination of l = 5°–60° and 300°–355°. Planck Collaboration XXI (2011) found an average spinning dust fraction of 25 ± 5% at 30 GHz. This discrepancy can be explained by the fact that their value represents the average over all longitudes, with higher values found in the inner galaxy. Also, the uncertainties are likely to be under-estimated due to modelling errors.

Several investigations have shown that the dust emissivity index βdust appears to vary with frequency, flattening in the millimetre range relative to the best single greybody fit, and also with environment (Reach et al. 1995; Finkbeiner et al. 1999; Galliano et al. 2005; Paladini et al. 2007; Planck Collaboration XVII 2011; Planck Collaboration Int. XIV 2014). We find that a single-βdust fit to the dust spectrum changes the AME component at 28.4 GHz by 1%.

7.4. Thermal dust

There is an indication that the dust brightness has different latitude widths in different frequency ranges. The cooler dust at HFI frequencies (143857 GHz) has a FWHM width of , while the warmer dust at the shortest IRAS wavelength (12 μm) has a width of . Both these values of dust width are less than that of the H i, which is (average of values in Table 5). Heating of the dust nearer the OB-stars would give a higher dust temperature and hence higher brightness temperature near the plane, leading to a narrower width. Our SED analysis gives estimates of the dust temperature and spectral index for the narrow inner Galaxy component. The dust latitude distribution is wider than that of the OB-stars heating the dust. We have determined values of dust parameters in the 1° FWHM beam on the Galactic plane for l = 320°–340° and l = 20°–40°. We find mean values of Tdust = 20.4 ± 0.4 K, βFIR = 1.94 ± 0.03, and βmm = 1.67 ± 0.02. These values are in close agreement with those determined by Planck Collaboration Int. XIV (2014) for the l = 20°–44° and | b | < 1° region.

7.5. Application to other galaxies

The results obtained here for the inner Galactic plane can be compared with the integrated data for similar spiral galaxies. The high levels of AME and free-free relative to synchrotron found at 2040 GHz for the inner Galaxy contrast with the ratios found for the integrated emission in spiral galaxies (Niklas et al. 1997; Peel et al. 2011). This could be because the equivalent of the narrow inner galaxy studied here is only a fraction of the total emission volume of the Galaxy, with the broader halo synchrotron components contributing the major part of the total emission. Data for 74 normal galaxies studied by Niklas et al. (1997) have an average ratio of free-free to synchrotron flux density of 0.08 ± 0.01 at 1.0 GHz; this translates to a ratio at 28.4 GHz of 0.99, assuming a synchrotron flux density spectral index of −0.83 at 110 GHz and −1.0 at higher frequencies. We find a free-free to synchrotron ratio of ~30 at 28.4 GHz for the narrow component as shown in Fig. 9. This factor of 30 difference in the ratio can be accounted for by the larger synchrotron volume of the total galaxy as compared with the narrow inner Galaxy (a factor of ~15 in latitude as shown in Figs. 1, 2 and 4 and ~2 in longitude). Total-power high-resolution measurements of edge-on galaxies (tilt within 2°–5°) over a wide range of frequencies would be decisive in showing the presence or otherwise of such a narrow component at each of the four emission mechanisms in normal spiral galaxies.


1

Planck (http://www.esa.int/Planck) is a project of the European Space Agency – ESA – with instruments provided by two scientific Consortia funded by ESA member states (in particular the lead countries: France and Italy) with contributions from NASA (USA), and telescope reflectors provided in a collaboration between ESA and a scientific Consortium led and funded by Denmark.

Acknowledgments

We acknowledge the use of the Legacy Archive for Microwave Background Data Analysis (LAMBDA); support for LAMBDA is provided by the NASA Office of Space Science. Some of the results in this paper have been derived using the HEALPix package The development of Planck has been supported by: ESA; CNES and CNRS/INSU-IN2P3-INP (France); ASI, CNR, and INAF (Italy); NASA and DoE (USA); STFC and UKSA (UK); CSIC, MICINN, JA and RES (Spain); Tekes, AoF and CSC (Finland); DLR and MPG (Germany); CSA (Canada); DTU Space (Denmark); SER/SSO (Switzerland); RCN (Norway); SFI (Ireland); FCT/MCTES (Portugal); and PRACE (EU). The research leading to these results has received funding from an STFC Consolidated Grant (No. ST/L000768/1), as well as the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement Nos. 267934 and 307209. A description of the Planck Collaboration and a list of its members, including the technical or scientific activities in which they have been involved, can be found at http://www.sciops.esa.int/index.php?project=planck&page=Planck_Collaboration.

References

  1. Abdo, A. A., Ackermann, M., Ajello, M., et al. 2010a, ApJ, 710, L92 [NASA ADS] [CrossRef] [Google Scholar]
  2. Abdo, A. A., Ackermann, M., Ajello, M., et al. 2010b, ApJ, 708, 1254 [NASA ADS] [CrossRef] [Google Scholar]
  3. Abdo, A. A., Ackermann, M., Ajello, M., et al. 2010c, Phys. Rev. Lett., 104, 101101 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  4. Abdo, A. A., Ackermann, M., Ajello, M., et al. 2010d, ApJ, 722, 1303 [NASA ADS] [CrossRef] [Google Scholar]
  5. Ackermann, M., Ajello, M., Baldini, L., et al. 2011, ApJ, 726, 81 [NASA ADS] [CrossRef] [Google Scholar]
  6. Ackermann, M., Ajello, M., Albert, A., et al. 2012, ApJS, 203, 4 [NASA ADS] [CrossRef] [Google Scholar]
  7. Ali-Haïmoud, Y., Hirata, C. M., & Dickinson, C. 2009, MNRAS, 395, 1055 [NASA ADS] [CrossRef] [Google Scholar]
  8. Alves, M. I. R., Davies, R. D., Dickinson, C., et al. 2010, MNRAS, 405, 1654 [NASA ADS] [Google Scholar]
  9. Alves, M. I. R., Davies, R. D., Dickinson, C., et al. 2012, MNRAS, 422, 2429 [NASA ADS] [CrossRef] [Google Scholar]
  10. Atwood, W. B., Abdo, A. A., Ackermann, M., et al. 2009, ApJ, 697, 1071 [NASA ADS] [CrossRef] [Google Scholar]
  11. Banday, A. J., Dickinson, C., Davies, R. D., Davis, R. J., & Górski, K. M. 2003, MNRAS, 345, 897 [NASA ADS] [CrossRef] [Google Scholar]
  12. Bania, T. M., Anderson, L. D., Balser, D. S., & Rood, R. T. 2010, ApJ, 718, L106 [NASA ADS] [CrossRef] [Google Scholar]
  13. Beichman, C. A., Neugebauer, G., Habing, H. J., Clegg, P. E., & Chester, T. J. 1988, Infrared astronomical satellite (IRAS) catalogs and atlases, Explanatory supplement, 1 [Google Scholar]
  14. Bennett, C. L., Smoot, G. F., Hinshaw, G., et al. 1992, ApJ, 396, L7 [NASA ADS] [CrossRef] [Google Scholar]
  15. Bennett, C. L., Hill, R. S., Hinshaw, G., et al. 2003, ApJS, 148, 97 [NASA ADS] [CrossRef] [Google Scholar]
  16. Bennett, C. L., Larson, D., Weiland, J. L., et al. 2013, ApJS, 208, 20 [Google Scholar]
  17. Berkhuijsen, E. M., & Müller, P. 2008, A&A, 490, 179 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Berkhuijsen, E. M., Mitra, D., & Mueller, P. 2006, Astron. Nachr., 327, 82 [NASA ADS] [CrossRef] [Google Scholar]
  19. Bersanelli, M., Mandolesi, N., Butler, R. C., et al. 2010, A&A, 520, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Beuermann, K., Kanbach, G., & Berkhuijsen, E. M. 1985, A&A, 153, 17 [NASA ADS] [Google Scholar]
  21. Blandford, R. D., & Ostriker, J. P. 1978, ApJ, 221, L29 [Google Scholar]
  22. Bonaldi, A., Bedini, L., Salerno, E., Baccigalupi, C., & de Zotti, G. 2006, MNRAS, 373, 271 [NASA ADS] [CrossRef] [Google Scholar]
  23. Brandt, T. D., & Draine, B. T. 2012, ApJ, 744, 129 [NASA ADS] [CrossRef] [Google Scholar]
  24. Broadbent, A., Osborne, J. L., & Haslam, C. G. T. 1989, MNRAS, 237, 381 [NASA ADS] [CrossRef] [Google Scholar]
  25. Bronfman, L., Casassus, S., May, J., & Nyman, L.-Å. 2000, A&A, 358, 521 [NASA ADS] [Google Scholar]
  26. Casassus, S., Dickinson, C., Cleary, K., et al. 2008, MNRAS, 391, 1075 [NASA ADS] [CrossRef] [Google Scholar]
  27. Chatterjee, S., Brisken, W. F., Vlemmings, W. H. T., et al. 2009, ApJ, 698, 250 [NASA ADS] [CrossRef] [Google Scholar]
  28. Clemens, D. P. 1985, ApJ, 295, 422 [NASA ADS] [CrossRef] [Google Scholar]
  29. Cohen, R. J., & Davies, R. D. 1976, MNRAS, 175, 1 [NASA ADS] [CrossRef] [Google Scholar]
  30. Cordes, J. M., & Lazio, T. J. W. 2002, ArXiv e-prints [arXiv:astro-ph/0207156] [Google Scholar]
  31. Cordes, J. M., & Lazio, T. J. W. 2003, ArXiv e-prints [arXiv:astro-ph/0301598] [Google Scholar]
  32. Dame, T. M., Hartmann, D., & Thaddeus, P. 2001, ApJ, 547, 792 [NASA ADS] [CrossRef] [Google Scholar]
  33. Davies, R. D., Dickinson, C., Banday, A. J., et al. 2006, MNRAS, 370, 1125 [NASA ADS] [CrossRef] [Google Scholar]
  34. de Oliveira-Costa, A., Tegmark, M., Gutierrez, C. M., et al. 1999, ApJ, 527, L9 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  35. Delabrouille, J., Betoule, M., Melin, J.-B., et al. 2013, A&A, 553, A96 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Delahaye, T., Lavalle, J., Lineros, R., Donato, F., & Fornengo, N. 2010, A&A, 524, A51 [Google Scholar]
  37. Dennison, B., Simonetti, J. H., & Topasna, G. A. 1998, PASA, 15, 147 [NASA ADS] [CrossRef] [Google Scholar]
  38. Désert, F., Boulanger, F., & Puget, J. L. 1990, A&A, 237, 215 [NASA ADS] [Google Scholar]
  39. Dickey, J. M., & Lockman, F. J. 1990, ARA&A, 28, 215 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  40. Dickey, J. M., Strasser, S., Gaensler, B. M., et al. 2009, ApJ, 693, 1250 [NASA ADS] [CrossRef] [Google Scholar]
  41. Dickinson, C. 2013, Adv. Astron., 2013, 4 [NASA ADS] [Google Scholar]
  42. Dickinson, C., Davies, R. D., & Davis, R. J. 2003, MNRAS, 341, 369 [Google Scholar]
  43. Dobler, G. 2012, ApJ, 760, L8 [NASA ADS] [CrossRef] [Google Scholar]
  44. Dobler, G., Draine, B., & Finkbeiner, D. P. 2009, ApJ, 699, 1374 [NASA ADS] [CrossRef] [Google Scholar]
  45. Dobler, G., Finkbeiner, D. P., Cholis, I., Slatyer, T., & Weiner, N. 2010, ApJ, 717, 825 [NASA ADS] [CrossRef] [Google Scholar]
  46. Draine, B. T. 2011, Physics of the Interstellar and Intergalactic Medium (Princeton University Press) [Google Scholar]
  47. Draine, B. T., & Lazarian, A. 1998a, ApJ, 494, L19 [NASA ADS] [CrossRef] [Google Scholar]
  48. Draine, B. T., & Lazarian, A. 1998b, ApJ, 508, 157 [NASA ADS] [CrossRef] [Google Scholar]
  49. Dunkley, J., Komatsu, E., Nolta, M. R., et al. 2009a, ApJS, 180, 306 [NASA ADS] [CrossRef] [Google Scholar]
  50. Dunkley, J., Spergel, D. N., Komatsu, E., et al. 2009b, ApJ, 701, 1804 [NASA ADS] [CrossRef] [Google Scholar]
  51. Finkbeiner, D. P. 2004, ApJ, 614, 186 [NASA ADS] [CrossRef] [Google Scholar]
  52. Finkbeiner, D. P., Davis, M., & Schlegel, D. J. 1999, ApJ, 524, 867 [NASA ADS] [CrossRef] [Google Scholar]
  53. Gaensler, B. M., Madsen, G. J., Chatterjee, S., & Mao, S. A. 2008, PASA, 25, 184 [NASA ADS] [CrossRef] [Google Scholar]
  54. Galliano, F., Madden, S. C., Jones, A. P., Wilson, C. D., & Bernard, J.-P. 2005, A&A, 434, 867 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  55. Galliano, F., Hony, S., Bernard, J.-P., et al. 2011, A&A, 536, A88 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Gaustad, J. E., McCullough, P. R., Rosing, W., & Van Buren, D. 2001, PASP, 113, 1326 [NASA ADS] [CrossRef] [Google Scholar]
  57. Ghosh, T., Banday, A. J., Jaffe, T., et al. 2012, MNRAS, 422, 3617 [NASA ADS] [CrossRef] [Google Scholar]
  58. Gold, B., Bennett, C. L., Hill, R. S., et al. 2009, ApJS, 180, 265 [NASA ADS] [CrossRef] [Google Scholar]
  59. Gold, B., Odegard, N., Weiland, J. L., et al. 2011, ApJS, 192, 15 [Google Scholar]
  60. Gordon, M. A., & Sorochenko, R. L., eds. 1990, Radio recombination lines: 25 years of investigation (Dordrecht: Kluwer), Astrophys. Space Sci. Libr., 163 [Google Scholar]
  61. Gordon, K. D., Galliano, F., Hony, S., et al. 2010, A&A, 518, L89 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  62. Górski, K. M., Hivon, E., Banday, A. J., et al. 2005, ApJ, 622, 759 [NASA ADS] [CrossRef] [Google Scholar]
  63. Green, D. A. 2009, Bull. Astron. Soc. India, 37, 45 [Google Scholar]
  64. Grenier, I. A., Casandjian, J.-M., & Terrier, R. 2005, Science, 307, 1292 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  65. Hart, L., & Pedlar, A. 1976, MNRAS, 176, 547 [NASA ADS] [CrossRef] [Google Scholar]
  66. Hartmann, D., & Burton, W. B. 1997, Atlas of Galactic Neutral Hydrogen (Cambridge: Cambridge University Press) [Google Scholar]
  67. Haslam, C. G. T., Salter, C. J., Stoffel, H., & Wilson, W. E. 1982, A&AS, 47, 1 [NASA ADS] [Google Scholar]
  68. Hauser, M. G., Arendt, R. G., Kelsall, T., et al. 1998, ApJ, 508, 25 [NASA ADS] [CrossRef] [Google Scholar]
  69. Hoang, T., Lazarian, A., & Draine, B. T. 2011, ApJ, 741, 87 [NASA ADS] [CrossRef] [Google Scholar]
  70. Hobson, M. P., Jones, A. W., Lasenby, A. N., & Bouchet, F. R. 1998, MNRAS, 300, 1 [NASA ADS] [CrossRef] [Google Scholar]
  71. Hurier, G., Macías-Pérez, J. F., & Hildebrandt, S. 2013, A&A, 558, A118 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  72. Jaffe, T. R., Banday, A. J., Leahy, J. P., Leach, S., & Strong, A. W. 2011, MNRAS, 416, 1152 [NASA ADS] [CrossRef] [Google Scholar]
  73. Jonas, J. L., Baart, E. E., & Nicolson, G. D. 1998, MNRAS, 297, 977 [NASA ADS] [CrossRef] [Google Scholar]
  74. Kalberla, P. M. W., & Kerp, J. 2009, ARA&A, 47, 27 [NASA ADS] [CrossRef] [Google Scholar]
  75. Keane, E. F., & Kramer, M. 2008, MNRAS, 391, 2009 [NASA ADS] [CrossRef] [Google Scholar]
  76. Kogut, A., Banday, A. J., Bennett, C. L., et al. 1996, ApJ, 464, L5 [NASA ADS] [CrossRef] [Google Scholar]
  77. Kogut, A., Dunkley, J., Bennett, C. L., et al. 2007, ApJ, 665, 355 [NASA ADS] [CrossRef] [Google Scholar]
  78. Kogut, A., Fixsen, D. J., Levin, S. M., et al. 2011, ApJ, 734, 4 [NASA ADS] [CrossRef] [Google Scholar]
  79. Kurtz, S. 2002, in Hot Star Workshop III: The Earliest Phases of Massive Star Birth, ed. P. Crowther, ASP Conf. Ser., 267, 81 [Google Scholar]
  80. Lagache, G. 2003, A&A, 405, 813 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Lamarre, J., Puget, J., Ade, P. A. R., et al. 2010, A&A, 520, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  82. Lawson, K. D., Mayer, C. J., Osborne, J. L., & Parkinson, M. L. 1987, MNRAS, 225, 307 [NASA ADS] [CrossRef] [Google Scholar]
  83. Leahy, J. P., Bersanelli, M., D’Arcangelo, O., et al. 2010, A&A, 520, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  84. Lockman, F. J. 1976, ApJ, 209, 429 [NASA ADS] [CrossRef] [Google Scholar]
  85. Lorimer, D. R., Faulkner, A. J., Lyne, A. G., et al. 2006, MNRAS, 372, 777 [NASA ADS] [CrossRef] [Google Scholar]
  86. Macellari, N., Pierpaoli, E., Dickinson, C., & Vaillancourt, J. E. 2011, MNRAS, 418, 888 [NASA ADS] [CrossRef] [Google Scholar]
  87. Manchester, R. N., Hobbs, G. B., Teoh, A., & Hobbs, M. 2005, AJ, 129, 1993 [NASA ADS] [CrossRef] [Google Scholar]
  88. Mandolesi, N., Bersanelli, M., Butler, R. C., et al. 2010, A&A, 520, A3 [Google Scholar]
  89. Markwardt, C. B. 2009, in Astronomical Data Analysis Software and Systems XVIII, eds. D. A. Bohlender, D. Durand, & P. Dowler, ASP Conf. Ser., 411, 251 [Google Scholar]
  90. Mattila, K., Juvela, M., & Lehtinen, K. 2007, ApJ, 654, L131 [NASA ADS] [CrossRef] [Google Scholar]
  91. Mennella, A., Butler, R. C., Curto, A., et al. 2011, A&A, 536, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  92. Mertsch, P., & Sarkar, S. 2010, J. Cosmol. Astropart. Phys., 10, 019 [Google Scholar]
  93. Mertsch, P., & Sarkar, S. 2013, J. Cosmol. Astropart. Phys., 06, 041 [Google Scholar]
  94. Milne, D. K. 1971, in The Crab Nebula, eds. R. D. Davies, & F. Graham-Smith (Dordrecht: Reidel), IAU Symp., 46, 248 [Google Scholar]
  95. Miville-Deschênes, M., & Lagache, G. 2005, ApJS, 157, 302 [NASA ADS] [CrossRef] [Google Scholar]
  96. Miville-Deschênes, M.-A., Ysard, N., Lavabre, A., et al. 2008, A&A, 490, 1093 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  97. Niklas, S., Klein, U., & Wielebinski, R. 1997, A&A, 322, 19 [NASA ADS] [Google Scholar]
  98. Orlando, E., & Strong, A. 2013, MNRAS, 436, 2127 [NASA ADS] [CrossRef] [Google Scholar]
  99. Paladini, R., Burigana, C., Davies, R. D., et al. 2003, A&A, 397, 213 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  100. Paladini, R., Davies, R. D., & DeZotti, G. 2004, MNRAS, 347, 237 [NASA ADS] [CrossRef] [Google Scholar]
  101. Paladini, R., Montier, L., Giard, M., et al. 2007, A&A, 465, 839 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  102. Paradis, D., Bernard, J.-P., & Mény, C. 2009, A&A, 506, 745 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  103. Paradis, D., Dobashi, K., Shimoikura, T., et al. 2012, A&A, 543, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  104. Peel, M. W., Dickinson, C., Davies, R. D., Clements, D. L., & Beswick, R. J. 2011, MNRAS, 416, L99 [NASA ADS] [CrossRef] [Google Scholar]
  105. Peel, M. W., Dickinson, C., Davies, R. D., et al. 2012, MNRAS, 424, 2676 [NASA ADS] [CrossRef] [Google Scholar]
  106. Perrot, C. A., & Grenier, I. A. 2003, A&A, 404, 519 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  107. Phillipps, S., Kearsey, S., Osborne, J. L., Haslam, C. G. T., & Stoffel, H. 1981, A&A, 103, 405 [NASA ADS] [Google Scholar]
  108. Planck Collaboration 2011, The Explanatory Supplement to the Planck Early Release Compact Source Catalogue (ESA) [Google Scholar]
  109. Planck Collaboration 2013, The Explanatory Supplement to the Planck 2013 results, http://pla.esac.esa.int/pla/index.html (ESA) [Google Scholar]
  110. Planck Collaboration I. 2011, A&A, 536, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  111. Planck Collaboration II. 2011, A&A, 536, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  112. Planck Collaboration VII. 2011, A&A, 536, A7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  113. Planck Collaboration VIII. 2011, A&A, 536, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  114. Planck Collaboration IX. 2011, A&A, 536, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  115. Planck Collaboration X. 2011, A&A, 536, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  116. Planck Collaboration XI. 2011, A&A, 536, A11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  117. Planck Collaboration XII. 2011, A&A, 536, A12 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  118. Planck Collaboration XIII. 2011, A&A, 536, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  119. Planck Collaboration XIV. 2011, A&A, 536, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  120. Planck Collaboration XV. 2011, A&A, 536, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  121. Planck Collaboration XVI. 2011, A&A, 536, A16 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  122. Planck Collaboration XVII. 2011, A&A, 536, A17 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  123. Planck Collaboration XVIII. 2011, A&A, 536, A18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  124. Planck Collaboration XIX. 2011, A&A, 536, A19 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  125. Planck Collaboration XX. 2011, A&A, 536, A20 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  126. Planck Collaboration XXI. 2011, A&A, 536, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  127. Planck Collaboration XXII. 2011, A&A, 536, A22 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  128. Planck Collaboration XXIII. 2011, A&A, 536, A23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  129. Planck Collaboration XXIV. 2011, A&A, 536, A24 [Google Scholar]
  130. Planck Collaboration XXV. 2011, A&A, 536, A25 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  131. Planck Collaboration I. 2014, A&A, 571, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  132. Planck Collaboration XI. 2014, A&A, 571, A11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  133. Planck Collaboration XIII. 2014, A&A, 571, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  134. Planck Collaboration Int. IX. 2013, A&A, 554, A139 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  135. Planck Collaboration Int. XII. 2013, A&A, 557, A53 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  136. Planck Collaboration Int. XIV. 2014, A&A, 564, A45 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  137. Planck Collaboration Int. XV. 2014, A&A, 565, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  138. Planck HFI Core Team 2011a, A&A, 536, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  139. Planck HFI Core Team 2011b, A&A, 536, A6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  140. Platania, P., Bensadoun, M., Bersanelli, M., et al. 1998, ApJ, 505, 473 [NASA ADS] [CrossRef] [Google Scholar]
  141. Platania, P., Burigana, C., Maino, D., et al. 2003, A&A, 410, 847 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  142. Reach, W. T., Dwek, E., Fixsen, D. J., et al. 1995, ApJ, 451, 188 [NASA ADS] [CrossRef] [Google Scholar]
  143. Reich, W. 1982, A&AS, 48, 219 [NASA ADS] [Google Scholar]
  144. Reich, P., & Reich, W. 1986, A&AS, 63, 205 [NASA ADS] [Google Scholar]
  145. Reich, P., & Reich, W. 1988, A&AS, 74, 7 [NASA ADS] [Google Scholar]
  146. Reich, P., Testori, J. C., & Reich, W. 2001, A&A, 376, 861 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  147. Reynolds, R. J., Tufte, S. L., Haffner, L. M., Jaehnig, K., & Percival, J. W. 1998, PASA, 15, 14 [NASA ADS] [CrossRef] [Google Scholar]
  148. Rohlfs, K., & Wilson, T. L. 2004, Tools of radio astronomy (Berlin: Springer) [Google Scholar]
  149. Rosset, C., Tristram, M., Ponthieu, N., et al. 2010, A&A, 520, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  150. Rybicki, G. B., & Lightman, A. P. 1979, Radiative processes in astrophysics (New York: Wiley-Interscience) [Google Scholar]
  151. Sandstrom, K. M., Bolatto, A. D., Draine, B. T., Bot, C., & Stanimirović, S. 2010, ApJ, 715, 701 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  152. Schnitzeler, D. H. F. M. 2012, MNRAS, 427, 664 [NASA ADS] [CrossRef] [Google Scholar]
  153. Shaver, P. A. 1980, A&A, 90, 34 [NASA ADS] [Google Scholar]
  154. Shaver, P. A., McGee, R. X., Newton, L. M., Danks, A. C., & Pottasch, S. R. 1983, MNRAS, 204, 53 [NASA ADS] [CrossRef] [Google Scholar]
  155. Stolyarov, V., Hobson, M. P., Ashdown, M. A. J., & Lasenby, A. N. 2002, MNRAS, 336, 97 [NASA ADS] [CrossRef] [Google Scholar]
  156. Stolyarov, V., Hobson, M. P., Lasenby, A. N., & Barreiro, R. B. 2005, MNRAS, 357, 145 [NASA ADS] [CrossRef] [Google Scholar]
  157. Strong, A. W. 2011, in Cosmic Rays for Particle and Astroparticle Physics, eds. S. Giani, C. Leroy, & P. G. Rancoita (Singapore: World Scientific Publishing), 473 [Google Scholar]
  158. Strong, A. W., Porter, T. A., Digel, S. W., et al. 2010, ApJ, 722, L58 [NASA ADS] [CrossRef] [Google Scholar]
  159. Strong, A. W., Orlando, E., & Jaffe, T. R. 2011, A&A, 534, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  160. Sun, X. H., Reich, W., Han, J. L., et al. 2011, A&A, 527, A74 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  161. Tauber, J. A., Mandolesi, N., Puget, J., et al. 2010, A&A, 520, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  162. Tibbs, C. T., Watson, R. A., Dickinson, C., et al. 2010, MNRAS, 402, 1969 [NASA ADS] [CrossRef] [Google Scholar]
  163. Tielens, A. G. G. M. 2008, ARA&A, 46, 289 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  164. Todorović, M., Davies, R. D., Dickinson, C., et al. 2010, MNRAS, 406, 1629 [NASA ADS] [Google Scholar]
  165. Watson, R. A., Rebolo, R., Rubiño-Martín, J. A., et al. 2005, ApJ, 624, L89 [NASA ADS] [CrossRef] [Google Scholar]
  166. Witt, A. N., Gold, B., Barnes, F. S., et al. 2010, ApJ, 724, 1551 [NASA ADS] [CrossRef] [Google Scholar]
  167. Wood, D. O. S., & Churchwell, E. 1989, ApJ, 340, 265 [NASA ADS] [CrossRef] [Google Scholar]
  168. Ysard, N., & Verstraete, L. 2010, A&A, 509, A12 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  169. Ysard, N., Miville-Deschênes, M. A., & Verstraete, L. 2010, A&A, 509, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  170. Zacchei, A., Maino, D., Baccigalupi, C., et al. 2011, A&A, 536, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]

Online material

Appendix A: Validation of FastMEM

Appendix A.1: Reconstruction of the free-free component using FastMEM

The Maximum Entropy Method (MEM) is used to separate the signals from cosmological and astrophysical foregrounds including CMB and Galactic foregrounds such as synchrotron, free-free, anomalous microwave emission (AME) and thermal dust. The implementation of MEM used here works in the spherical harmonic domain, where the separation is performed mode-by-mode allowing a huge optimization problem to be split into a number of smaller problems that can be done in parallel, saving CPU time. This approach, called FastMEM, is described by Hobson et al. (1998) for Fourier modes on flat patches of the sky and by Stolyarov et al. (2002) for the full-sky case.

The simulated data set used to check the quality of the recovery and reconstruction errors was the Full Focal Plane data set FFP4 (Planck Collaboration 2013). It includes all Planck frequency maps from 30 to 857 GHz properly simulated with plausible noise levels, systematics due to the scanning strategy, and real beam transfer functions. The components were modelled using the Planck Sky Model (PSM; Delabrouille et al. 2013) v1.7.

After multiple separation tests it was found that low-frequency components are very complicated to extract, especially AME. It was decided to use only the limited number of frequency maps, from 70.4 to 353 GHz. Since there were problems with WMAP modelled maps, they were not used in the analysis. However, WMAP data maps are essential for low-frequency component extraction from the real data.

The reconstructed components were CMB, thermal SZ, free-free, thermal dust, and CO J = 1 →0, J = 2 → 1 and J = 3 → 2 lines. It was assumed that AME and synchrotron contributions are very small in this range of frequencies. A small bias from the synchrotron component, however, could be possible in the Galactic plane. Free-free spectral scaling was calculated assuming average electron temperature Te = 6000 K (Alves et al. 2012).

The accuracy of the component separation was controlled in several ways. Firstly, the residuals between data maps and the modelled component contribution were calculated. There were component-free maps, containing only instrumental noise and point sources (A.1)and component-cleaned CMB maps at each frequency, containing CMB signal as well as receiver noise and point sources (A.2)To calculate residual maps one should smooth component models with the same beam, which is taken to be a Gaussian with at 70.4 GHz. Residual maps are shown on the Fig. A.1.

The reconstructed free-free map can be directly compared with the input template. The residual map shows that the reconstruction slightly overestimates the real free-free contribution in the Galactic plane (Fig. A.2), where the morphology is complex and includes many bright point sources.

thumbnail Fig. A.1

Simulated data: residual maps at 70.4 GHz, containing only receiver noise and point sources (Eq. (A.1), upper panel) and CMB component-cleaned map (Eq. (A.2), lower panel). The maps are in Mollweide projection, with Nside = 1024 and a linear temperature scale with units of TCMB.

thumbnail Fig. A.2

Input, reconstructed and residual maps of the free-free emission at 70.4 GHz. All maps are in Mollweide projection, smoothed with a 1° beam, Nside = 128. The colour scale is linear, and the units are mKCMB.

thumbnail Fig. A.3

Input, reconstructed and residual Galactic plane profiles for the free-free emission at 70.4 GHz. Profiles were calculated over the maps shown in Fig. A.2; units are KCMB. The plots are made for a 1°-resolution cut along the Galactic plane.

It is also useful to consider the profiles of free-free emission along the Galactic plane, which are shown on the Fig. A.3, and TT plots between input and reconstructed maps (Fig. A.4).

Appendix A.2: Comparison of free-free maps from FastMEM with other component separation methods

In this section we compare the free-free emission derived from FastMEM and other modelling methods with the direct measure of free-free using RRLs. In order to convert the RRL data to brightness temperature we have used an electron temperature, Te, of 6000 K as found by Alves et al. (2012) for the Galactic plane region l = 20°44°, | b | ≤ 4°, which we also use for this comparison.

FastMEM was applied to Planck data in the frequency range 70.4353 GHz and used to obtain the free-free, CO, and thermal dust components. The synchrotron component was assumed to be a small fraction of the total Galactic plane emission at these frequencies. This was tested by subtracting the synchrotron component found by Alves et al. (2012) with brightness temperature spectral indices in the range βsynch = −2.7 to −3.1; the free-free component changed by 2%. Similarly, the effect of the AME component was minimal in the 70.4353 GHz range. The AME amplitude was based on the 100 μm IRIS brightness and assuming 10 μK per MJy sr-1 at 30 GHz with a spectrum peaking at 20 GHz.

thumbnail Fig. A.4

TT plot comparing the pixel values in the simulated input map and in the reconstructed map. The solid red line indicates equality. The frequency is 70.4 GHz and the temperature scale is KCMB.

The WMAP 9-yr MEM free-free all-sky fit (Bennett et al. 2013) was used to map the l = 20°–44°, | b | ≤ 4° region of the Alves et al. (2012) RRL survey, which includes emission from the Sagittarius and Scutum spiral arms of the inner Galaxy. This fit is based on the WMAP frequency range 2394 GHz and includes significant synchrotron and AME emission that could also be estimated separately.

The Correlated Component Analysis (CCA) component separation method (Bonaldi et al. 2006), as used in Planck Collaboration Int. XII (2013), was also applied to the RRL region. The map of the free-free from RRLs is compared with those from FastMEM, WMAP9 MEM and CCA in Fig. A.5. The two MEM models and CCA are remarkably similar. The RRLs show the same structure but are somewhat weaker as we now show.

thumbnail Fig. A.5

Maps of the l = 20°44°, b = −4°+ 4° region of the inner Galaxy showing the free-free emission derived from RRLs, FastMEM, WMAP9 MEM, and CCA. The maps are at 33 GHz with 1° resolution and Nside = 128. The colour-coding is on a linear scale running from −1 to 10 mKRJ.

thumbnail Fig. A.6

TT plots comparing the free-free estimates from RRLs, WMAP9 MEM, and Planck data using FastMEM and CCA. The lower line indicates equality while the other line (where present) indicates the best fit. The frequency is 33 GHz and the resolution is 1°, with Nside = 128.

The TT plots in Fig. A.6 show the relationships between the amplitudes of the RRL measurements and the three models. It can be seen that FastMEM from Planck and WMAP9 MEM agree closely. The CCA amplitudes are somewhat larger than the MEM solutions. The corresponding RRL amplitudes calculated for Te = 6000 K are lower by ~30%. The best fitting ratios of the slopes after removing offsets and including the brighter data only (Tb ≥ 0.3 mK) are:

We now consider what systematics could account for the difference between the RRL measurement and the three models, all of which agree within ~5%. The assumption of Te = 6000 K for the RRLs could be the source of part of the 30% difference. An increase of Te from 6000 K to 7000 K for example would increase the free-free brightness temperature by 19%. On the other hand, the three models considered here each need to take account of the other foregrounds, which they do in different ways. This could possibly lead to an overestimate of the free-free emission if the other three spectral components were underestimates. We suggest that this difference may be resolved by using Te = 7000 K and reducing the free-free component map by 10%.

All Tables

Table 1

Summary of the data.

Table 2

Latitude widths and amplitudes of the narrow component in each band (Planck plus ancillary data) for the longitude ranges 20°–30°, 30°–40°, 320°–330°, and 330°–340°.

Table 3

Intrinsic latitude FWHM of free-free emission and related distributions for four longitude ranges.

Table 4

Intrinsic latitude FWHM of synchrotron and related data for four longitude ranges.

Table 5

Intrinsic latitude FWHM of thermal dust emission and related data for four longitude ranges.

Table 6

Thermal dust properties from SEDs using MILCA for CO and fitting two βdust values.

Table 7

AME fractions in the four longitude ranges shown in Figs. 9 and 10.

Table 8

Comparison of AME with free-free and 100 μm emission in the innermost (l = 5°–30° and 330°–355°) and the outer (l = 30°–60° and 300°–330°) regions of the inner Galaxy as shown in Fig. 11.

Table 9

Intrinsic latitude widths of various Galactic components.

All Figures

thumbnail Fig. 1

Whole sky map at four frequencies showing the narrow inner Galaxy emission: a) the 408 MHz map of Haslam et al. (1982); b) the 28.4 GHz map from Planck; c) the 70.4 GHz map from Planck; and d) the 545 GHz map from Planck. The colour scales are logarithmic, and the maps are in Mollweide projection.

In the text
thumbnail Fig. 2

Narrow Galactic emission at four frequencies: a) the 408 MHz map of Haslam et al. (1982); b) the 28.4 GHz map from Planck; c) the 70.4 GHz map from Planck; and d) the 545 GHz map from Planck. The colour scales are logarithmic. The longitude range is l = 270° → 0° → 90°; the latitude range is −20° to + 20°. The maps are in Cartesian projection.

In the text
thumbnail Fig. 3

Distribution of star-forming regions (H ii regions) in the inner Galaxy, from Paladini et al. (2004, Fig. 12), with the l = 300° → 0° → 60° sector indicated. The relevant spiral arms are also indicated.

In the text
thumbnail Fig. 4

Latitude distribution of various components averaged over the longitude range 20° to 30°. The first and third columns show the total emission (solid line) with the parabolic fit (dotted line) and the second and fourth columns show the narrow component. The pulsar data are at Nside = 64 to account for the low sampling and include all ages; young and old pulsars are shown separately in Fig. 7. The northern Gould Belt system can be seen at positive latitudes at all frequencies. The broad 15° wide synchrotron component is evident in the 408 MHz cut.

In the text
thumbnail Fig. 5

Longitude distribution of emission components along the Galactic plane at b = 0° in the range l = 90° to 270°. The data are all smoothed to 1° resolution except the gamma-ray data with a FWHM of 88. The components shown are 408 MHz (mainly synchrotron), 28.4 GHz (similar AME and free-free), 70.4 GHz (mainly free-free), 353 GHz (dust), CO, gamma-rays, pulsar numbers (representing supernovae), and 100 μm. The gamma-ray and pulsar data are at Nside = 64 and Nside = 32 respectively, to account for the relatively low sampling. The pulsar data are uniformly surveyed from l = 270° to 40°; at l = 40° to 90° the survey sensitivity is lower. The Galactic centre is off-scale so that the diffuse emission can be displayed.

In the text
thumbnail Fig. 6

Latitude cuts for the narrow free-free-related component in the longitude range l = 20° to 30° for RRLs, FastMEM, WMAP 60.7 GHz, and Planck 70.4 GHz. These are normalized to match the FastMEM solution at b = 0° in order to show their relative widths. The re-scaled 60.7 GHz and 70.4 GHz cuts match at all latitudes and are thus not visible separately.

In the text
thumbnail Fig. 7

Latitude cuts in bands relevant to synchrotron emission averaged over the longitude range 20°–30°. These are 0.408, 1.4, and 2.3 GHz, WMAP K-band polarized intensity, and pulsar number counts. A reference age of 106 yr is chosen to define young and old pulsars. No parabolic fit is made to the separate pulsar population cuts.

In the text
thumbnail Fig. 8

Latitude profiles of Planck frequency bands and ancillary data relating principally to thermal dust, for l = 20°–30°.

In the text
thumbnail Fig. 9

SEDs over full frequency range 0.408 GHz to 3000 GHz, for the longitude ranges a) l = 20°–30°; b) 30°–40°; c) 320°–330°; and d) 330°–340°. The points show the total emission, which is separated into free-free from the RRL and FastMEM data (dotted line), synchrotron from the free-free-corrected 408 MHz data (dashed line) and thermal dust (dot-dashed line). The total of the four components is given by the full line. AME is the residual (long-dash-dotted line). The conversion factor from intensity to brightness temperature at 28.4 GHz is 40 mK MJy-1 sr.

In the text
thumbnail Fig. 10

AME spectra for the longitude ranges a) l = 20°–30°; b) 30°40°; c) 320°–330°; and d) 330°–340°. The spectra cover the frequency range 23143 GHz and are in units of intensity. The conversion factor from intensity to brightness temperature at 28.4 GHz is 40 mK MJy-1 sr.

In the text
thumbnail Fig. 11

Longitude distribution of all four components derived from SEDs and component separation, in 5° longitude intervals. The thermal dust is at 545 GHz scaled down by a factor of 100. The free-free, AME, and synchrotron, have been scaled to 28.4 GHz. The conversion factor from intensity to brightness temperature at 28.4 GHz is 40 mK MJy-1 sr.

In the text
thumbnail Fig. A.1

Simulated data: residual maps at 70.4 GHz, containing only receiver noise and point sources (Eq. (A.1), upper panel) and CMB component-cleaned map (Eq. (A.2), lower panel). The maps are in Mollweide projection, with Nside = 1024 and a linear temperature scale with units of TCMB.

In the text
thumbnail Fig. A.2

Input, reconstructed and residual maps of the free-free emission at 70.4 GHz. All maps are in Mollweide projection, smoothed with a 1° beam, Nside = 128. The colour scale is linear, and the units are mKCMB.

In the text
thumbnail Fig. A.3

Input, reconstructed and residual Galactic plane profiles for the free-free emission at 70.4 GHz. Profiles were calculated over the maps shown in Fig. A.2; units are KCMB. The plots are made for a 1°-resolution cut along the Galactic plane.

In the text
thumbnail Fig. A.4

TT plot comparing the pixel values in the simulated input map and in the reconstructed map. The solid red line indicates equality. The frequency is 70.4 GHz and the temperature scale is KCMB.

In the text
thumbnail Fig. A.5

Maps of the l = 20°44°, b = −4°+ 4° region of the inner Galaxy showing the free-free emission derived from RRLs, FastMEM, WMAP9 MEM, and CCA. The maps are at 33 GHz with 1° resolution and Nside = 128. The colour-coding is on a linear scale running from −1 to 10 mKRJ.

In the text
thumbnail Fig. A.6

TT plots comparing the free-free estimates from RRLs, WMAP9 MEM, and Planck data using FastMEM and CCA. The lower line indicates equality while the other line (where present) indicates the best fit. The frequency is 33 GHz and the resolution is 1°, with Nside = 128.

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.