CMB and astrophysical component maps

Overview

This section describes the maps of astrophysical components produced from the Planck data. These products are derived from some or all of the nine frequency channel maps described above using different techniques and, in some cases, using other constraints from external data sets. Here we give a brief description of the product and how it is obtained, followed by a description of the FITS file containing the data and associated information. All the details can be found in Planck-2015-A09 and Planck-2015-A10.

CMB maps

CMB maps have been produced by the COMMANDER, NILC, SEVEM, and SMICA pipelines, which are described in the CMB and foreground separation section and also in Appendices A-D of Planck-2015-A09 and references therein.. For each pipeline we provide:

• Full-mission CMB intensity map, confidence mask and beam transfer function.
• Full-mission high-pass filtered CMB polarisation map,
• A confidence mask.
• A beam transfer function.

In addition, and for characterisation purposes, there are six other sets of maps from three data splits: first/second half-ring, odd/even years and first/second half-mission. And for each of these data splits we provide half-sum and half-difference maps. The half-difference maps can be used to provide an approximate noise estimate for the full mission, but they should be used with caution. Each split has caveats in this regard: there are noise correlations between the half-ring maps, and missing pixels in the other splits. The Intensity maps are provided at Nside = 2048, at 5 arcmin resolution, while the Polarisation ones are provided at Nside = 1024 at 10 arcmin resolution. All maps are in units of K_cmb.

These maps can be found in the files

• COM_CMB_IQU-{pipeline}-field-{Int/Pol}_Nside_R2.00.fits.

The Int files have two extensions, for the Intensity maps and the beam transfer function, the Pol files have three extensions, for Q and U maps, and for the beam transfer function. For a complete description of the data structure, see the below; the content of the first extensions is illustrated and commented in the table below.

The gallery below shows the Intensity, noise from half-mission, half-difference, and confidence mask for the four pipelines, in the order SMICA, SEVEM, NILC and COMMANDER, from top to bottom. The Intensity maps scale is [–500.+500] μK, and the noise are between [–25,+25] μK. We do not show the Q and U maps since they have no significant visible structure to contemplate.

• 

  commander temperature

• 

  commander noise

• 

  commander mask

• 

  nilc temperature

• 

  nilc noise

• 

  nilc mask

• 

  sevem temperature

• 

  sevem noise

• 

  sevem mask

• 

  smica temperature

• 

  smica noise

• 

  smica mask

Product description

COMMANDER

Principle

COMMANDER is a Planck software code implementing pixel based Bayesian parametric component separation. Each astrophysical signal component is modelled in terms of a small number of free parameters per pixel, typically in terms of an amplitude at a given reference frequency and a small set of spectral parameters, and these are fitted to the data with an MCMC Gibbs sampling algorithm. Instrumental parameters, including calibration, bandpass corrections, monopole and dipoles, are fitted jointly with the astrophysical components. A new feature in the Planck 2015 analysis is that the astrophysical model is derived from a combination of Planck, WMAP and a 408 MHz (Haslam et al. 1982) survey, providing sufficient frequency support to resolve the low-frequency components into synchrotron, free-free and spinning dust. For full details, see Planck-2015-A10.

Resolution (effective beam)

The Commander sky maps have different angular resolutions depending on data products:

• The components of the full astrophysical sky model derived from the complete data combination (Planck, WMAP, 408 MHz) have a 1 degree FWHM resolution, and are pixelized at N_side=256. The corresponding CMB map defines the input map for the low-l Planck 2015 temperature likelihood.
• The Commander CMB temperature map derived from Planck-only observations have an angular resolution of ~5 arcmin and is pixelized at N_side=2048. This map is produced by harmonic space hybridiziation, in which independent solutions derived at 40 arcmin (using 30-857 GHz data), 7.5 arcmin (using 143-857 GHz data), and 5 arcmin (using 217-857 GHz data) are coadded into a single map.
• The Commander CMB polarization map has an angular resolution of 10 arcmin and is pixelized at N_side=1024. As for the temperature case, this map is produced by harmonic space hybridiziation, in which independent solutions derived at 40 arcmin (using 30-353 GHz data) and 10 arcmin (using 100-353 GHz data) are coadded into a single map.

Confidence mask

The Commander confidence masks are produced by thresholding the chi-square map characterizing the global fits, combined with direct CO amplitude thresholding to eliminate known leakage effects. In addition, we exclude the 9-year WMAP point source mask in the temperature mask. For full details, see Sections 5 and 6 in Planck-2015-A10. A total of 81% of the sky is admitted for high-resolution temperature analysis, and 83% for polarization analysis. For low-resolution temperature analysis, for which the additional WMAP and 408 MHz observations improve foreground constraints, a total of 93% of the sky is admitted.

NILC

Principle

The Needlet-ILC (hereafter NILC) CMB map is constructed both in total intensity as well as polarization, Q and U Stokes parameters. For total intensity, all Planck frequency channels are included. For polarization, all polarization sensitive frequency channels are included, from 30 to 353 GHz. The solution, for T, Q and U is obtained by applying the Internal Linear Combination (ILC) technique in needlet space, that is, with combination weights which are allowed to vary over the sky and over the whole multipole range.

Resolution (effective beam)

The spectral analysis, and estimation of the NILC coefficients, is performed up to a maximum [math]\ell=4000[/math]. The effective beam is equivalent of a Gaussian circular beam with FWHM=5 arcminutes.

Confidence mask

The same procedure is followed by SMICA and NILC for producing confidence masks, though with different parametrizations. A low resolution smoothed version of the NILC map, noise subtracted, is thresholded to 73.5 squared micro-K for T, and 6,75 squared micro-K for Q and U.

SEVEM

Principle

SEVEM produces clean CMB maps at several frequencies by using a procedure based on template fitting in real space. The templates are typically constructed from the lowest and highest Planck frequencies and then subtracted from the CMB-dominated channels, with coefficients that are chosen to minimize the variance of the clean map outside a considered mask. In the cleaning process, no assumptions about the foregrounds or noise levels are needed, rendering the technique very robust. Two single frequency clean maps are then combined to obtain the final CMB map.

Resolution

For intensity the clean CMB map is constructed up to a maximum [math]\ell=4000[/math] at Nside=2048 and at the standard resolution of 5 arcminutes (Gaussian beam).

For polarization the clean CMB map is produced at Nside=1024 with a resolution of 10 arcminutes (Gaussian beam) and a maximum [math]\ell=3071[/math].

Confidence masks

The confidence masks cover the most contaminated regions of the sky, leaving approximately 85 per cent of useful sky for intensity and 80 per cent for polarization.

SMICA

Principle

SMICA produces CMBs map by linearly combining all Planck input channels with multipole-dependent weights. It includes multipoles up to [math]\ell = 4000[/math]. Temperature and polarization maps are produced independently.

Resolution (effective beam)

The SMICA intensity map has an effective beam window function of 5 arc-minutes which is truncated at [math]\ell=4000[/math] and is not deconvolved from the pixel window function. Thus the delivered beam window function is the product of a Gaussian beam at 5 arcminutes and the pixel window function for Nside=2048.

The SMICA Q and U maps are obtained similarly but are produced at Nside=1024 with an effective beam of 10 arc-minutes (to be multiplied by the pixel window function, as for the intensity map).

Confidence mask

A confidence mask is provided which excludes some parts of the Galactic plane, some very bright areas and the masked point sources. This mask provides a qualitative (and subjective) indication of the cleanliness of a pixel. See section below detailing the production process.

Production process

COMMANDER

Pre-processing

All sky maps are first convolved to a common resolution that is larger than the largest beam of any frequency channel. For the combined Planck, WMAP and 408 MHz temperature analysis, the common resolution is 1 degree FWHM; for the Planck-only all-frequency analysis it is 40 arcmin FWHM; and for the intermediate-resolution analysis it is 7.5 arcmin; while for the full-resolution analysis, we assume all frequencies between 217 and 857 GHz have a common resolution, and no additional convolution is performed. For polarization, only two smoothing scales are employed, 40 and 10 arcmin, respectively. The instrumental noise rms maps are convolved correspondingly, properly accouting for their matrix-like nature.

Priors

The following priors are enforced in the Commander analysis:

• All foreground amplitudes are enforced to be positive definite in the low-resolution analysis, while no amplitude priors are enforced in the high-resolution analyses
• Monopoles and dipoles are fixed to nominal values for a small set of reference frequencies
• Gaussian priors are enforced on spectral parameters, with values informed by the values derived in the high signal-to-noise areas of the sky
• The Jeffreys ignorance prior is enforced on spectral parameters in addition to the informative Gaussian priors

Fitting procedure

Given data and priors, Commander either maximizes, or samples from, the Bayesian posterior, P(theta|data). Because this is a highly non-Gaussian and correlated distribution, involving millions of parameters, these operations are performed by means of the Gibbs sampling algorithm, in which joint samples from the full distributions are generated by iteratively sampling from the corresponding conditional posterior distributions, P(theta_i| data, theta_{j/=i}). For the low-resolution analysis, all parameters are optimized jointly, while in the high-resolution analyses, which employs fewer frequency channels, low signal-to-noise parameters are fixed to those derived at low resolution. Examples of such parameters include monopoles and dipoles, calibration and bandpass parameters, thermal dust temperature etc.

NILC

Pre-processing

All sky frequency maps are deconvolved using the DPC beam transfer function provided, and re-convolved with a 5 arcminutes FWHM circular Gaussian beam. In polarization, prior to the smoothing process, all sky E and B maps are derived from Q and U using standard HEALPix tools from each individual frequency channels

Linear combination

Pre-processed input frequency maps are decomposed in needlet coefficients, specified in the Appendix B of the Planck A11 paper, with shape given by Table B.1. Minimum variance coefficients are then obtained, using all channels for T, from 30 to 353 for E and B.

Post-processing

E and B maps are re-combined into Q and U products using standard HEALPix tools.

SEVEM

The templates used in the SEVEM pipeline are typically constructed by subtracting two close Planck frequency channel maps, after first smoothing them to a common resolution to ensure that the CMB signal is properly removed. A linear combination of the templates [math]t_j[/math] is then subtracted from (hitherto unused) map d to produce a clean CMB map at that frequency. This is done in real space at each position on the sky: [math] T_c(\mathbf{x}, ν) = d(\mathbf{x}, ν) − \sum_{j=1}^{n_t} α_j t(\mathbf{x}) [/math] where [math]n_t[/math] is the number of templates. The [math]α_j[/math] coefficients are obtained by minimising the variance of the clean map [math]T_c[/math] outside a given mask. Note that the same expression applies for I, Q and U. Although we exclude very contaminated regions during the minimization, the subtraction is performed for all pixels and, therefore, the cleaned maps cover the full-sky (although we expect that foreground residuals are present in the excluded areas).

There are several possible configurations of SEVEM with regard to the number of frequency maps which are cleaned or the number of templates that are used in the fitting. Note that the production of clean maps at different frequencies is of great interest in order to test the robustness of the results. Therefore, to define the best strategy, one needs to find a compromise between the number of maps that can be cleaned independently and the number of templates that can be constructed.

Intensity

For the CMB intensity map, we have cleaned the 100 GHz, 143 GHz and 217 GHz maps using a total of four templates. Three of them are constructed as the difference of two consecutive Planck channels smoothed to a common resolution (30-44, 44-70 and 545-353) while the 857 GHz channel is chosen as the fourth template. First of all, the six frequency channels which are going to be part of the templates are inpainted at the point source positions detected using the Mexican Hat Wavelet algorithm. The size of the holes to be inpainted is determined taking into account the beam size of the channel as well as the flux of each source. The inpainting algorithm is based on simple diffuse inpainting, which fills one pixel with the mean value of the neighbouring pixels in an iterative way. To avoid inconsistencies when subtracting two channels, each frequency map is inpainted on the sources detected in that map and on the second map (if any) used to construct the template. Then the maps are smoothed to a common resolution (the first channel in the subtraction is smoothed with the beam of the second map and viceversa). For the 857 GHz template, we simply filter the inpainted map with the 545 GHz beam.

The coefficients are obtained by minimising the variance outside the analysis mask, that covers the 1 per cent brightest emission of the sky as well as point sources detected at all frequency channels. Once the maps are cleaned, each of them is inpainted on the point sources positions detected at that (raw) channel. Then, the MHW algorithm is run again, now on the clean maps. A relatively small number of new sources are found and are also inpainted at each channel. The resolution of the clean map is the same as that of the original data. Our final CMB map is then constructed by combining the 143 and 217 GHz maps by weighting the maps in harmonic space taking into account the noise level, the resolution and a rough estimation of the foreground residuals of each map (obtained from realistic simulations). This final map has a resolution corresponding to a Gaussian beam of fwhm=5 arcminutes.

The confidence mask is produced by studying the differences between several SEVEM CMB reconstructions, which correspond to maps cleaned at different frequencies or using different analysis masks. The obtained mask leaves a useful sky fraction of approximately 85 per cent.

Polarization

To clean the polarization maps, a procedure similar to the one used for intensity data is applied to the $Q$ and $U$ maps independently. However, given that a narrower frequency coverage is available for polarization, the selected templates and maps to be cleaned are different. In particular, we clean the 70, 100 and 143 GHz using three templates for each channel. The first step of the pipeline is to inpaint the positions of the point sources using the MHW, in those channels which are going to be used in the construction of templates, following the same procedure as for the intensity case. The inpainting is performed in the frequency maps at their native resolution. These inpainted maps are then used to construct a total of four templates. To trace the synchrotron emission, we construct a template as the subtraction of the 30 GHz minus the 44 GHz map, after being convolved with the beam of each other. For the dust emission, the following templates are considered: 353--217 GHz (smoothed at 10$'$ resolution), 217--143 GHz (used to clean 70 and 100 GHz) and 217--100 GHz (to clean 143 GHz). These two last templates are constructed at 1 degree resolution since an additional smoothing becomes necessary in order to increase the signal-to-noise ratio of the template. Conversely to the intensity case and due to the lower availability of frequency channels, it becomes necessary to use the maps to be cleaned as part of one of the templates. In this way, the 100 GHz map is used to clean the 143 GHz frequency channel and viceversa, making the clean maps less independent between them than in the intensity case.

These templates are then used to clean the non-inpainted 70 (at its native resolution), 100 (at 10$'$ resolution) and 143 GHz maps (also at 10$'$). The corresponding linear coefficients are estimated independently for $Q$ and $U$ by minimising the variance of the clean maps outside a mask, that covers point sources and the 3 per cent brightest Galactic emission. Once the maps have been cleaned, inpainting of the point sources detected at the corresponding raw maps is carried out. The size of the holes to be inpainted takes into account the additional smoothing of the 100 and 143 GHz maps. The 100 and 143 GHz clean maps are then combined in harmonic space, using $E$ and $B$ decomposition, to produce the final CMB maps for the $Q$ and $U$ components at a resolution of 10$'$ (Gaussian beam) for a HEALPix parameter Nside=1024. Each map is weighted taking into account its corresponding noise level at each multipole. Finally, before applying the post-processing HPF to the clean polarization data, the region with the brightest Galactic residuals is inpainted (5 per cent of the sky) to avoid the introduction of ringing around the Galactic centre in the filtering process.

The confidence mask includes all the pixels above a given threshold in a smoothed version of the clean CMB map, the regions more contaminated by the CO emission and those pixels more affected by the high-pass filtering, leaving a useful sky fraction of approximately 80 per cent.

SMICA

A) Production of the intensity map.

1) Pre-processing

Before computing spherical harmonic coefficients, all input maps undergo a pre-processing step to deal with regions of very strong emission (such as the Galactic center) and point sources. The point sources with SNR > 5 in the PCCS catalogue are fitted in each input map. If the fit is successful, the fitted point source is removed from the map; otherwise it is masked and the hole is filled in by a simple diffusive process to ensure a smooth transition and mitigate spectral leakage. The diffusive inpainting process is also applied to some regions of very strong emissions. This is done at all frequencies but 545 and 857 GHz, here all point sources with SNR > 7.5 are masked and filled-in similarly.

2) Linear combination

The nine pre-processed Planck frequency channels from 30 to 857 GHz are harmonically transformed up to [math]\ell = 4000[/math] and co-added with multipole-dependent weights as shown in the figure.

3) Post-processing

A confidence mask is determined (see the Planck paper) and all regions which have been masked in the pre-processing step are added to it.

B) Production of the Q and U polarisation maps.

The production of the Q and U maps is similar to the production of the intensity map. The SMICA pipeline uses all the 7 polarized Planck channels. After point source masking and diffusive inpainting, the E and B modes are computed and combined to produce E and B modes of the CMB map. Those combined modes are then used to synthesize the U and Q CMB maps. The E and B parts of the input frequency maps being processed jointly, there are, at each multipole, 2*7=14 coefficients (weights) defined to produce the E modes of the CMB map and as many to produce the B part. The weights are displayed in the figure below. The Q and U maps were originally produced at Nside=2048 with a 5-arc-minute resolution, but were downgraded to Nside=1024 with a 10 arc-minute resolution for this release.

Inputs

The input maps are the sky temperature maps described in the Sky temperature maps section. SMICA and SEVEM use all the maps between 30 and 857 GHz; NILC uses the ones between 44 and 857 GHz. Commander-Ruler uses frequency channel maps from 30 to 353 GHz.

File names and structure

The FITS files corresponding to the three CMB products are the following:

COM_CMB_IQU-{method}-field-{Int,Pol}_Nside_R2.nn.fits

where method is mica, nilc, sevem, or commander, and Int and Pol indicate whether the file contains the temperature (Int) or the polarisation (Pol) maps. For this release the temperature maps are provided at Nside = 2048, and the polarisation maps at Nside = 1024.

The files contain

• a minimal primary extension with no data;
• one or two BINTABLE data extensions with a table of Npix lines by 14 columns in which the first 13 columns is a CMB maps produced from the full or a subset of the data, as described in the table below, and the last column in a confidence mask. There is a single extension for Int files, and two, for Q and U, for Pol files.
• a BINTABLE extension containing the beam window function.

CMB map file data structure

Ext. 1. or 2. EXTNAME = COMP-MAP (BINTABLE)
Column Name	Data Type	Units	Description
I or Q or U	Real*4	uK_cmb	I or Q or U map
HM1	Real*4	uK_cmb	Half-miss 1
HM2	Real*4	uK_cmb	Half-miss 2
YR1	Real*4	uK_cmb	Year 1
YR2	Real*4	uK_cmb	Year 2
HR1	Real*4	uK_cmb	Half-ring 1
HR2	Real*4	uK_cmb	Half-ring 2
HMHS	Real*4	uK_cmb	Half-miss, half sum
HMHD	Real*4	uK_cmb	Half-miss, half diff
YRHS	Real*4	uK_cmb	Year, half sum
YRHD	Real*4	uK_cmb	Year, half diff
HRHS	Real*4	uK_cmb	Half-ring half sum
HRHD	Real*4	uK_cmb	Half-ring half diff
MASK	BYTE		Confidence mask
Keyword	Data Type	Value	Description
AST-COMP	String	CMB	Astrophysical compoment name
PIXTYPE	String	HEALPIX
COORDSYS	String	GALACTIC	Coordinate system
POLCCONV	String	COSMO	Polarization convention
ORDERING	String	NESTED	Healpix ordering
NSIDE	Int	2048	Healpix Nside
METHOD	String	name	Cleaning method (smica/nilc/sevem/commander)
Keyword	Data Type	Value	Description
PIXTYPE	String	HEALPIX
COORDSYS	String	GALACTIC	Coordinate system
ORDERING	String	NESTED	Healpix ordering
NSIDE	Int	1024	Healpix Nside
METHOD	String	name	Cleaning method (SMICA/NILC/SEVEM)
Ext. 2. or 3. EXTNAME = BEAM_WF (BINTABLE)
Column Name	Data Type	Units	Description
BEAM_WF	Real*4	none	The effective beam window function, including the pixel window function. See Note 1.
Keyword	Data Type	Value	Description
LMIN	Int	value	First multipole of beam WF
LMAX	Int	value	Lsst multipole of beam WF
METHOD	String	name	Cleaning method (SMICA/NILC/SEVEM/COMMANDER-Ruler)

Notes:

1. The beam window function [math]B_\ell[/math] given here includes the pixel window function [math]p_\ell[/math] for the Nside=2048 pixelization. It means that, ideally, [math]C_\ell(map) = C_\ell(sky) \, B_\ell^2 \, p_\ell^2[/math].

Astrophysical foregrounds from parametric component separation

We describe diffuse foreground products for the Planck 2015 release. See the Planck Foregrounds Component Separation paper Planck-2015-A10 for a detailed description of these products. Further scientific discussion and interpretation may be found in Planck-2015-A25.

Inputs

Nominal frequency maps at 30, 44, 70, 100, 143, 217, 353, 545, 857 GHz (LFI 30 GHz frequency maps, LFI 44 GHz frequency maps and LFI 70 GHz frequency maps, HFI 100 GHz frequency maps, HFI 143 GHz frequency maps,HFI 217 GHz frequency maps, HFI 353 GHz frequency maps, HFI 545 GHz frequency maps, HFI 857 GHz frequency maps) and their II column corresponding to the noise covariance matrix. Halfrings at the same frequencies. Beam window functions as reported in the LFI and HFI RIMO.

Low-resolution temperature products

The Planck 2015 astrophysical component separation analysis combines Planck observations with the 9-year WMAP temperature sky maps (Bennett et al. 2013) and the 408 MHz survey by Haslam et al. (1982). This allows a direct decomposition of the low-frequency foregrounds into separate synchrotron, free-free and spinning dust components without strong spatial priors. The full set of data products derived from the low-resolution joint analysis are the following:

Synchrotron emission

File name: COM_CompMap_Synchrotron-commander_0256_R2.00.fits

Reference frequency: 408 MHz

Nside = 256

Angular resolution = 60 arcmin

HDU -- COMP-MAP-Synchrotron

Column Name	Data Type	Units	Description
I_ML	Real*4	uK_RJ	Amplitude posterior maximum
I_MEAN	Real*4	uK_RJ	Amplitude posterior mean
I_RMS	Real*4	uK_RJ	Amplitude posterior rms

Free-free emission

File name: COM_CompMap_freefree-commander_0256_R2.00.fits

Reference frequency: NA

Nside = 256

Angular resolution = 60 arcmin

HDU -- COMP-MAP-freefree

Column Name	Data Type	Units	Description
EM_ML	Real*4	cm^-6 pc	Emission measure posterior maximum
EM_MEAN	Real*4	cm^-6 pc	Emission measure posterior mean
EM_RMS	Real*4	cm^-6 pc	Emission measure posterior rms
TEMP_ML	Real*4	K	Electron temperature posterior maximum
TEMP_MEAN	Real*4	K	Electron temperature posterior mean
TEMP_RMS	Real*4	K	Electron temperature posterior rms

Spinning dust emission

File name: COM_CompMap_AME-commander_0256_R2.00.fits

Nside = 256

Angular resolution = 60 arcmin

Note: The spinning dust component has two independent constituents, each corresponding to one spdust2 component, but with different peak frequencies. The two components are stored in the two first FITS extensions, and the template frequency spectrum is stored in the third extension.

Reference frequency: 22.8 GHz

HDU -- COMP-MAP-AME1

Column Name	Data Type	Units	Description
I_ML	Real*4	uK_RJ	Primary amplitude posterior maximum
I_MEAN	Real*4	uK_RJ	Primary amplitude posterior mean
I_RMS	Real*4	uK_RJ	Primary amplitude posterior rms
FREQ_ML	Real*4	GHz	Primary peak frequency posterior maximum
FREQ_MEAN	Real*4	GHz	Primary peak frequency posterior mean
FREQ_RMS	Real*4	GHz	Primary peak frequency posterior rms

Reference frequency: 41.0 GHz

Peak frequency: 33.35 GHz

Extension 1 -- COMP-MAP-AME2

Column Name	Data Type	Units	Description
I_ML	Real*4	uK_RJ	Secondary amplitude posterior maximum
I_MEAN	Real*4	uK_RJ	Secondary amplitude posterior mean
I_RMS	Real*4	uK_RJ	Secondary amplitude posterior rms

Extension 2 -- SPINNING-DUST-TEMP

Column Name	Data Type	Units	Description
nu	Real*4	GHz	Frequency
j_nu/nH	Real*4	Jy sr-1 cm2/H	spdust2 spectrum

CO line emission

File name: COM_CompMap_CO-commander_0256_R2.00.fits

Nside = 256

Angular resolution = 60 arcmin

Note: The CO line emission component has three independent objects, corresponding to the J1->0, 2->1 and 3->2 lines, stored in separate extensions.

HDU -- COMP-MAP-co10

Column Name	Data Type	Units	Description
I_ML	Real*4	K_RJ km/s	CO(1-0) amplitude posterior maximum
I_MEAN	Real*4	K_RJ km/s	CO(1-0) amplitude posterior mean
I_RMS	Real*4	K_RJ km/s	CO(1-0) amplitude posterior rms

Extension 1 -- COMP-MAP-co21

Column Name	Data Type	Units	Description
I_ML	Real*4	K_RJ km/s	CO(2-1) amplitude posterior maximum
I_MEAN	Real*4	K_RJ km/s	CO(2-1) amplitude posterior mean
I_RMS	Real*4	K_RJ km/s	CO(2-1) amplitude posterior rms

Extension 2 -- COMP-MAP-co32

Column Name	Data Type	Units	Description
I_ML	Real*4	K_RJ km/s	CO(3-2) amplitude posterior maximum
I_MEAN	Real*4	K_RJ km/s	CO(3-2) amplitude posterior mean
I_RMS	Real*4	K_RJ km/s	CO(3-2) amplitude posterior rms

94/100 GHz line emission

File name: COM_CompMap_xline-commander_0256_R2.00.fits

Nside = 256

Angular resolution = 60 arcmin

HDU -- COMP-MAP-xline

Column Name	Data Type	Units	Description
I_ML	Real*4	uK_cmb	Amplitude posterior maximum
I_MEAN	Real*4	uK_cmb	Amplitude posterior mean
I_RMS	Real*4	uK_cmb	Amplitude posterior rms

Note: The amplitude of this component is normalized according to the 100-ds1 detector set map, ie., it is the amplitude as measured by this detector combination.

Thermal dust emission

File name: COM_CompMap_dust-commander_0256_R2.00.fits

Nside = 256

Angular resolution = 60 arcmin

Reference frequency: 545 GHz

HDU -- COMP-MAP-dust

Column Name	Data Type	Units	Description
I_ML	Real*4	uK_RJ	Amplitude posterior maximum
I_MEAN	Real*4	uK_RJ	Amplitude posterior mean
I_RMS	Real*4	uK_RJ	Amplitude posterior rms
TEMP_ML	Real*4	K	Dust temperature posterior maximum
TEMP_MEAN	Real*4	K	Dust temperature posterior mean
TEMP_RMS	Real*4	K	Dust temperature posterior rms
BETA_ML	Real*4	NA	Emissivity index posterior maximum
BETA_MEAN	Real*4	NA	Emissivity index posterior mean
BETA_RMS	Real*4	NA	Emissivity index posterior rms

Thermal Sunyaev-Zeldovich emission around the Coma and Virgo clusters

File name: COM_CompMap_SZ-commander_0256_R2.00.fits

Nside = 256

Angular resolution = 60 arcmin

HDU -- COMP-MAP-SZ

Column Name	Data Type	Units	Description
Y_ML	Real*4	y_SZ	Y parameter posterior maximum
Y_MEAN	Real*4	y_SZ	Y parameter posterior mean
Y_RMS	Real*4	y_SZ	Y parameter posterior rms

High-resolution temperature products

High-resolution foreground products at 7.5 arcmin FWHM are derived with the same algorithm as for the low-resolution analyses, but including frequency channels above (and including) 143 GHz. These data products include the following:

CO J2->1 emission

File name: COM_CompMap_CO21-commander_2048_R2.00.fits

Nside = 2048

Angular resolution = 7.5 arcmin

HDU -- COMP-MAP-CO21

Column Name	Data Type	Units	Description
I_ML_FULL	Real*4	K_RJ km/s	Full-mission amplitude posterior maximum
I_ML_HM1	Real*4	K_RJ km/s	First half-mission amplitude posterior maximum
I_ML_HM2	Real*4	K_RJ km/s	Second half-mission amplitude posterior maximum
I_ML_HR1	Real*4	K_RJ km/s	First half-ring amplitude posterior maximum
I_ML_HR2	Real*4	K_RJ km/s	Second half-ring amplitude posterior maximum
I_ML_YR1	Real*4	K_RJ km/s	"First year" amplitude posterior maximum
I_ML_YR2	Real*4	K_RJ km/s	"Second year" amplitude posterior maximum

Thermal dust emission

File name: COM_CompMap_ThermalDust-commander_2048_R2.00.fits

Nside = 2048

Angular resolution = 7.5 arcmin

Reference frequency: 545 GHz

HDU -- COMP-MAP-dust

Column Name	Data Type	Units	Description
I_ML_FULL	Real*4	uK_RJ	Full-mission amplitude posterior maximum
I_ML_HM1	Real*4	uK_RJ	First half-mission amplitude posterior maximum
I_ML_HM2	Real*4	uK_RJ	Second half-mission amplitude posterior maximum
I_ML_HR1	Real*4	uK_RJ	First half-ring amplitude posterior maximum
I_ML_HR2	Real*4	uK_RJ	Second half-ring amplitude posterior maximum
I_ML_YR1	Real*4	uK_RJ	"First year" amplitude posterior maximum
I_ML_YR2	Real*4	uK_RJ	"Second year" amplitude posterior maximum
BETA_ML_FULL	Real*4	NA	Full-mission emissivity index posterior maximum
BETA_ML_HM1	Real*4	NA	First half-mission emissivity index posterior maximum
BETA_ML_HM2	Real*4	NA	Second half-mission emissivity index posterior maximum
BETA_ML_HR1	Real*4	NA	First half-ring emissivity index posterior maximum
BETA_ML_HR2	Real*4	NA	Second half-ring emissivity index posterior maximum
BETA_ML_YR1	Real*4	NA	"First year" emissivity index posterior maximum
BETA_ML_YR2	Real*4	NA	"Second year" emissivity index posterior maximum

Polarization products

Two polarization foreground products are provided, namely synchrotron and thermal dust emission. The spectral models are assumed identical to the corresponding temperature spectral models.

Synchrotron emission

File name: COM_CompMap_SynchrotronPol-commander_0256_R2.00.fits

Nside = 256

Angular resolution = 40 arcmin

Reference frequency: 30 GHz

HDU -- COMP-MAP-SynchrotronPol

Column Name	Data Type	Units	Description
Q_ML_FULL	Real*4	K_RJ km/s	Full-mission Stokes Q posterior maximum
U_ML_FULL	Real*4	K_RJ km/s	Full-mission Stokes U posterior maximum
Q_ML_HM1	Real*4	K_RJ km/s	First half-mission Stokes Q posterior maximum
U_ML_HM1	Real*4	K_RJ km/s	First half-mission Stokes U posterior maximum
Q_ML_HM2	Real*4	K_RJ km/s	Second half-mission Stokes Q posterior maximum
U_ML_HM2	Real*4	K_RJ km/s	Second half-mission Stokes U posterior maximum
Q_ML_HR1	Real*4	K_RJ km/s	First half-ring Stokes Q posterior maximum
U_ML_HR1	Real*4	K_RJ km/s	First half-ring Stokes U posterior maximum
Q_ML_HR2	Real*4	K_RJ km/s	Second half-ring Stokes Q posterior maximum
U_ML_HR2	Real*4	K_RJ km/s	Second half-ring Stokes U posterior maximum
Q_ML_YR1	Real*4	K_RJ km/s	"First year" Stokes Q posterior maximum
U_ML_YR1	Real*4	K_RJ km/s	"First year" Stokes U posterior maximum
Q_ML_YR2	Real*4	K_RJ km/s	"Second year" Stokes Q posterior maximum
U_ML_YR2	Real*4	K_RJ km/s	"Second year" Stokes U posterior maximum