Difference between revisions of "Sky temperature maps"

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(LFI processing)
(LFI processing)
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The baseline length was chosen to be one second.
 
The baseline length was chosen to be one second.
  
Flagged samples were excluded from the analysis. The galaxy region was masked out in the destriping phase, to reduce error arising from strong signal gradients. Radiometers were combined according to the horn-uniform weighting scheme to minimize systematics. The polarization component was included in the analysis, although only the temperature maps are released. A detailed description of the map-making procedure is given in [[planck2013-p02]].
+
Flagged samples were excluded from the analysis. The galaxy region was masked out in the destriping phase, to reduce error arising from strong signal gradients. Radiometers were combined according to the horn-uniform weighting scheme to minimize systematics. The polarization component was included in the analysis, although only the temperature maps are released. A detailed description of the map-making procedure is given in <cite>#planck2013-p02</cite>
 +
 
 
  … (LFI processing paper, map-making section).
 
  … (LFI processing paper, map-making section).
  

Revision as of 17:04, 19 February 2013

NOTE: Text in red to be removed when filling the contents

Product description[edit]

A general description of the product, including e.g. figures related to the contents (e.g. maps, tables), and some explanation of its scientific meaning. If there are scientific warnings about the use of the product (User’s caveats), they should also be given here, or at least references to other explanatory documents (papers etc).

Sky maps give the best estimate of the signal from the sky (unpolarised) after removal, as far as possible, of known systematic effects and of the dipole signals induced by the motion of the solar system in the CMB and of the Planck satellite in the solar system. In particular, they include the Zodiacal light emission (Zodi for short) and also the scattering from the far-side lobes of the beams (FSL). More on this below.

Sky maps are provided for the nominal Planck mission and for the first two single surveys, the third one being covered only for a small part during the nominal mission (REF). AMo: There is a table with table below that defines these coverage periods, but I believe that information should be in an earlier section that describes the mission and the events that interrupted it, the planet passages, the pointing, issues relating to timing, etc. That section should define a pointing period, and operational day, etc. There is some of that info in the HFI pre-processing section, but that may not be the best place for it.For characterization purposes, are also provided maps covering the nominal survey but using only half of the available data. These are the ringhalf_{1|2} maps, which are built using the first and second half of the stable pointing part of the data in each pointing period.

Missions and sky survey coverage periods
Name Ini_OD Ini_Ring Ini_ptgID End_OD End_ring End_ptgID
Nominal 91 240 00004200 563 14724 03180200
HFI-Full 91 240 00004200 993 27008 06344800
LFI-Full 91 240 00004200 TBD TBD TBD
SCAN1 91 240 00004200 270 5720 01059820
SCAN2 270 5721 01059830 456 11194 02114520
SCAN3 456 11195 02114530 636 16691 03193660
SCAN4 636 16692 03193670 807 21720 04243900
SCAN5 807 21721 95000020 993 27008 06344800
SCAN6 993 ---- 06344810 993 ---- TBD

All sky maps are in Healpix format, with Nside of 2048 for HFI and of 1024 for LFI, in Galactic coordinates, and Nested ordering. The signal is given in units of Kcmb for 33-353 GHz, and of MJy/sr (for a constant $\nu F_\nu$ energy distribution ) for 545 and 857 GHz. Each sky map is packaged into a BINTABLE extension of a FITS file together with a hit-count map (or hit map, for short) and a variance map, and additional information is given in the FITS file header. The structure of the FITS file is given in the FITS file structure section below.

Types of maps[edit]

Full channel maps[edit]

Full channel maps are built using all the valid detectors of a frequency channel and cover the full mission (or the nominal mission for the 1st release). For HFI, the 143-8 and 545-3 bolometers are rejected entirely as they are seriously affected by RTS noise.


include here the 9 maps images, see dpc paper

Single survey maps[edit]

Single survey maps are built using all valid detectors of a frequency channel, but cover separately the different sky surveys. The single sky surveys are defined in terms of the direction of the satellite's spin axis: the first survey covers from the beginning of the science observations (the First Light Survey) to the time when the spin axis has rotated by 180 degrees (to the nearest pointing period), the following ones covers from 180 to 360, and so on. In the case of the nominal mission, the process stops at the third survey, which is incomplete. In the case of the full mission the 4th survey was interrupted shortly before completing the 180 degree rotation (see LINK), in order to begin observing with a different scanning law. The HFI mission ended slightly before the natural end of the 5th survey, the LFI mission continued to the XXX survey. The coverage of each of these periods in terms of ring number, pointingID, and OD, is given in the table below. Note that the OD numbers are only to indicate during which OD the period boundary occurs.

Half-ring maps[edit]

Half-ring maps are built using only the first or the second half of the stable pointing period data. There are thus two half-ring maps per frequency channel named ringhalf_1 and ringhalf_2 respectively. These maps are built for characterization purposes in order to perform null tests. In particular, the difference between the two half-ring maps at a given frequency give a good estimate of the high frequency noise in the data.

Caveats and known issues[edit]

Map zero-level[edit]

  • not corrected for HFI; estimates are ??? determined from ????


For the 30, 44 and 70 GHz, maps are corrected for zero level monopole by applying an offset correction, see calib paper #planck2013-P02b ( summary to be included here, add a note about the offset applied that is indicated in the header comment keywords AG ).

The Zodiacal light and the Far-Side Lobes[edit]

Insert here how these are seen in the differences of the single survey maps

Artifacts near caustics of the scanning strategy[edit]

TBW if still an issue??

Production process[edit]

Description of the Pipeline used to generate the product. In particular any limitations and approximations used in the data processing should be listed. Avoiding detailed descriptions of methods and referring to other parts of the ES and/or the relevant Planck papers for the details. References however should be quite detailed (i.e. it is not enough to direct the user to a paper, but the relevant section in the paper should be provided). Sky maps are produced by combining appropriately the data of all working detectors in a frequency channel over some period of the mission. They give the best estimate of the signal from the sky (unpolarised) after removal, as far as possible, of known systematic effects and of the dipole signals induced by the motion of the solar system in the CMB and of the Planck satellite in the solar system. In particular, they include the Zodiacal light emission (Zodi for short) and also the scattering from the far-side lobes of the beams (FSL). More on this below.

HFI processing[edit]

The inputs to the mapmaking are TOIs of signal that have been cleaned (as far as possible) of instrumental effects and calibrated in absorbed watts. While the processing involved is described in detail in the TOI processing section, we give a very brief summary here for convenience. That pipeline performs the following operations:

demodulation
this is performed around a variable level which is determined from the valid input data (a validity flag from a previous version of the processing is used for this purpose), and the data are converted to engineering units (V) using known conversion coefficients.
despiking
using the demodulated data converted to V (by the transfer function) the glitches are identified and fitted with templates. A glitch flag is produced that identifies the strongest part of the glitches, and a timeline of glitch tails is produced from the template fits, and subtracted from the demodulated timeline from step 1. Finally, the flagged ranges are replaced with data from an average over the pointing period (TBC)
dark template removal
the two dark bolometers are demodulated and despiked as above; the resulting timelines are then smoothed and used as an indicator of the overall temperature variations of the bolometer plate. Where the variations are consistent with each other, they are combined and removed from the bolometer signal timelines using appropriate coupling coefficients. The few percent of the data where they are not consistent are flagged on the timelines.
conversion to absorbed power
the timeline is converted to watts of absorbed power using the bolometer function. This includes a non-linearity correction; removal of the 4K cooler lines: the electromagnetic interference of the 4K cooler with the bolometer readout wires induces some sharp lines in the signal power spectra at frequencies of the 4K cooler's fundamental and its multiples, folded by the signal modulations. Fourier coefficients of the relevant lines are determined on a per-ring basis, and then removed from the data. The quality of the removal depends on the bolometer.
deconvolution by the time transfer function
this is done to correct for the non-instantaneous time response of the bolometers. The function itself is modeled using 4 parameters which are adjusted primarily on the planet data and also from comparisons of the northward and southward scans of the Galactic Plane. It is then removed using Fourier techniques, which has the side-effect of increasing the noise at high frequencies.
jump correction
removes some (relatively rare: 0.3 jumps per bolometer per pointing period, on average) jumps in the signal baseline. The jumps are detected characterized on smoothed TOIs, and corrected by adding a constant to part of the signal timeline. The origin of the jumps is not known.

The results of this processing are a timeline of signal (in absorbed watts) and a valid data flag timeline for each of the 50 valid bolometers processed; these timelines contain the full sky signal, i.e., including the solar and orbital dipoles, the Zodiacal light, and contributions from the Far-Side lobes. The dipoles are necessary for the flux calibration and are removed at the mapmaking stage. The remaining two bolometers (143-8 and 535-3) show semi-random jumps in the signal level, typically jumping over 2-5 different pseudo-baseline levels, a behavior known as Random Telegraphic Signal, so that these are commonly called the RTS bolometers. Finally, ring-level statistics of different types (mean, median, rms, kurtosis, etc.) are determined on a per-ring basis for all timelines, and a selection based on these statistics is used to discard anomalous rings, which are recorded in a ring-level flag for each valid bolometer timeline.

Throughout this processing, bright planets (Mars, Jupiter, Saturn, Uranus) and bright asteroids are masked in the timeline in order to avoid ringing effects in the processing. Since they move on the sky, the portion of the sky masked during one survey is observed during one, and no hole is left in the final map. In parallel, the planet data are processed in a similar way, but with different parameters for the despiking step, and without the final jump correction step. These results are processed separately to determine the beam shapes and the focal plane geometry.


The pointing is determined starting from the AHF produced by MOC, which gives the direction and orientation of the LOS of a fiducial position in the focal plane at frequencies of 8Hz during stable pointing and 4 Hz during maneuvers (TBC for details, reference). This is interpolated to the times of data observation (ref to method), corrected for the wobble and other time-dependent offsets determined from the observed positions of a large number of sources around the sky, and finally converted to the LOS of each detector using the quaternions in the IMO (which are determined from observations of bright planets - see the Focal plane reconstruction pipeline).


The mapmaking pipeline is described in detail in the Map-making section, and a brief summary is given here for convenience.

The cleaned TOIs of signal of each detector, together with their flags, produced by the TOI processing pipeline, and the TOIs of pointing (quaternions), described in Detectors pointing and beams, are the inputs to the mapmaking step.

The input signal TOIs are expressed in Watts from the sky absorbed by the bolometer, and their associated flags are used to samples or full rings to discard. Are discarded periods of unstable pointing and pointing maneuvers in general, glitched data, transits over bright planets (since they move, the hole flagged during one survey is covered during another sky survey), and some full rings are discarded if their noise properties differ significantly from the nominal value and the few rings of duration longer than 90 min, since the pointing is not sufficiently stable over such long periods (details in Discarded rings section). The preparation of input pointing TOIs is described in Detectors pointing and beams. In brief, the STR (StarTracker) pointing produced by Flight Dynamics is interpolated to the detector sampling frequency in order to obtain a tuple of pointing quaternions for each sample and corrected for certain known effects. The angular offset between the STR line of sight and that of each bolometer is reflected in the Focal Plane Geometry, which is determined from the observation of bright planets. Also, the STR pointing timeline is corrected for slowly varying offsets between the STR and the HFI focal plane using observations of all planets and of other (fixed) bright sources.

Using the pointing TOIs, the signal TOIs are first used to build Healpix rings using the nearest grid point method; each ring containing the combined data of one pointing period. These are then calibrated in brightness, cleaned of the dipole signals, and projected onto Healpix maps as explained in the following sections.

The cleaned TOIs must be calibrated in astrophysical units. At 100-353 GHz, the flux calibration gains are determined for each pointing period (or ring) from the solar-motion dipole after removal of the small dipole induced by the motion of the Planck satellite in the solar system. The solar-motion dipole from WMAP (REF) is used for this purpose. This gain by ring is then smoothed with a window of width 50 rings, which reveals an apparent variation of ~1-2% on a scale of 100s to 1000s of rings for the 100-217 GHz channels, and is applied to the Watt data. At 353GHz, where the solar motion dipole is weaker compared to the signal, no gain variation is detected, and a single fixed gain is applied to all rings. At 545 and 857 GHz the gain is determined from the observation of Uranus and Neptune (Jupiter is not used because its brightness produced some non-linearity in the bolometer response) and comparison to recent models (REF) made explicitly for this mission. A single gain is applied to all rings at these frequencies. Prior to projecting the Healpix rings (HPRs) onto a map, a destriping approach is used to remove low-frequency noise. The noise is modelled as the sum of a white noise component and a constant, or offset, per pointing period which represents the low frequency 1/f noise. The offsets are determined by minimizing the differences between HPRs at their crossings. After subtracting these offsets, calibrated data are projected onto Healpix maps, with the data of each bolometer weighted by a factor of 1/NET of that bolometer, and accounting for the slight different band transmission profiles of the bolometers in each band.

These maps provide the main mission products. A second, reduced, set of maps, cleaned of the Zodiacal emission of the FSL leakage is also produced for the nominal mission and the two single surveys, but not for the half-rings (since the contribution would be the same for the two halves of each ring). For this purpose, the the Zodiacal emission and the FSL contamination, which are not fixed on the sky, are modeled separately at HPR-level, and subtracted from the signal HPR before projecting them onto the maps.

Together with signal maps, hit count and variance maps are also produced. The hit maps give the (integer) number of valid TOI-level samples that contribute to the signal of each pixel. All valid samples are counted in the same way, i.e., there is no weighting factor applied. The variance maps project the white noise estimate, provided by the NETs, in the sky domain.

LFI processing[edit]

LFI maps were constructed with the Madam map-making code, version 3.7.4. The code is based on generalized destriping technique, where the correlated noise component is modeled as a sequence of constant offset, called "baselines". The baseline solution is constrained by a noise filter.

The baseline length was chosen to be one second.

Flagged samples were excluded from the analysis. The galaxy region was masked out in the destriping phase, to reduce error arising from strong signal gradients. Radiometers were combined according to the horn-uniform weighting scheme to minimize systematics. The polarization component was included in the analysis, although only the temperature maps are released. A detailed description of the map-making procedure is given in #planck2013-p02

… (LFI processing paper, map-making section).


see section Map-making.

Inputs[edit]

A list (and brief description to the extent possible) of the input data used to generate this product (down to file names), as well as any external ancillary data sets which were used.

HFI inputs[edit]

The inputs to the mapmaking are TOIs of signal that have been cleaned (as far as possible) of instrumental effects and calibrated in absorbed watts.

LFI inputs[edit]

  • Calibrated TOI
  • Detector pointing
  • RIMO

Related products[edit]

A description of other products that are related and share some commonalities with the product being described here. E.g. if the description is of a generic product (e.g. frequency maps), all the products falling into that type should be listed and referenced.

File names[edit]

The FITS filenames are of the form {H|L}FI_SkyMap_fff_nnnn_R1.nn_{type}_{coverage}_{type}.fits, where fff are three digits to indicate the Planck frequency band, and nnnn is the Healpix Nside of the map, coverage indicates which part of the mission is covered, and the optional type indicates the subset of input data used. A full list of products, by their names, is given in the List of products below. to be reviewed

The list of products containing sky maps are given below, grouped by type

Outstanding: link to archive objects / LFI to fill in their products

Full channel maps
30GHz LFI_SkyMap_030_1024_R1.mm_nominal.fits
44GHz LFI_SkyMap_044_1024_R1.mm_nominal.fits
70GHz LFI_SkyMap_070_1024_R1.mm_nominal.fits


link to PLA example LFI 44 GHz frequency maps or LFI 44 GHz frequency maps

Full channel maps 
LFI maps ….
HFI_SkyMap_100_2048_R1.nn_nominal.fits
HFI_SkyMap_143_2048_R1.nn_nominal.fits
HFI_SkyMap_217_2048_R1.nn_nominal.fits
HFI_SkyMap_353_2048_R1.nn_nominal.fits
HFI_SkyMap_545_2048_R1.nn_nominal.fits
HFI_SkyMap_857_2048_R1.nn_nominal.fits
Single survey maps
30GHz Survey 1 LFI_SkyMap_030_1024_R1.mm_survey_1.fits
Survey 2 LFI_SkyMap_030_1024_R1.mm_survey_2.fits
44GHz Survey 1 LFI_SkyMap_044_1024_R1.mm_survey_1.fits
Survey 2 LFI_SkyMap_044_1024_R1.mm_survey_2.fits
70GHz Survey 1 LFI_SkyMap_070_1024_R1.mm_survey_1.fits
Survey 2 LFI_SkyMap_070_1024_R1.mm_survey_2.fits


Single survey maps 
LFI maps ….
HFI_SkyMap_100_2048_R1.nn_survey_1.fits
HFI_SkyMap_143_2048_R1.nn_survey_1.fits
HFI_SkyMap_217_2048_R1.nn_survey_1.fits
HFI_SkyMap_353_2048_R1.nn_survey_1.fits
HFI_SkyMap_545_2048_R1.nn_survey_1.fits
HFI_SkyMap_857_2048_R1.nn_survey_1.fits
HFI_SkyMap_100_2048_R1.nn_survey_2.fits
HFI_SkyMap_143_2048_R1.nn_survey_2.fits
HFI_SkyMap_217_2048_R1.nn_survey_2.fits
HFI_SkyMap_353_2048_R1.nn_survey_2.fits
HFI_SkyMap_545_2048_R1.nn_survey_2.fits
HFI_SkyMap_857_2048_R1.nn_survey_2.fits


Half-ring maps
30GHz Half-Ring 1 LFI_SkyMap_030_1024_R1.mm_nominal_ringhalf_1.fits
Half-Ring 2 LFI_SkyMap_030_1024_R1.mm_nominal_ringhalf_2.fits
44GHz Half-Ring 1 LFI_SkyMap_044_1024_R1.mm_nominal_ringhalf_1.fits
Half-Ring 2 LFI_SkyMap_044_1024_R1.mm_nominal_ringhalf_2.fits
70GHz Half-Ring 1 LFI_SkyMap_070_1024_R1.mm_nominal_ringhalf_1.fits
Half-Ring 2 LFI_SkyMap_070_1024_R1.mm_nominal_ringhalf_2.fits
Half-ring maps 
LFI maps ….
HFI_SkyMap_100_2048_R1.nn_nominal_ringhalf_1.fits
HFI_SkyMap_143_2048_R1.nn_nominal_ringhalf_1.fits
HFI_SkyMap_217_2048_R1.nn_nominal_ringhalf_1.fits
HFI_SkyMap_353_2048_R1.nn_nominal_ringhalf_1.fits
HFI_SkyMap_545_2048_R1.nn_nominal_ringhalf_1.fits
HFI_SkyMap_857_2048_R1.nn_nominal_ringhalf_1.fits
HFI_SkyMap_100_2048_R1.nn_nominal_ringhalf_2.fits
HFI_SkyMap_143_2048_R1.nn_nominal_ringhalf_2.fits
HFI_SkyMap_217_2048_R1.nn_nominal_ringhalf_2.fits
HFI_SkyMap_353_2048_R1.nn_nominal_ringhalf_2.fits
HFI_SkyMap_545_2048_R1.nn_nominal_ringhalf_2.fits
HFI_SkyMap_857_2048_R1.nn_nominal_ringhalf_2.fits
Zodi and Far-side-lobes corrected maps 
HFI_SkyMap_100_2048_R1.nn_nominal_ZodiCorrected.fits
HFI_SkyMap_143_2048_R1.nn_nominal_ZodiCorrected.fits
HFI_SkyMap_217_2048_R1.nn_nominal_ZodiCorrected.fits
HFI_SkyMap_353_2048_R1.nn_nominal_ZodiCorrected.fits
HFI_SkyMap_545_2048_R1.nn_nominal_ZodiCorrected.fits
HFI_SkyMap_857_2048_R1.nn_nominal_ZodiCorrected.fits
HFI_SkyMap_100_2048_R1.nn_survey_1_ZodiCorrected.fits
HFI_SkyMap_143_2048_R1.nn_survey_1_ZodiCorrected.fits
HFI_SkyMap_217_2048_R1.nn_survey_1_ZodiCorrected.fits
HFI_SkyMap_353_2048_R1.nn_survey_1_ZodiCorrected.fits
HFI_SkyMap_545_2048_R1.nn_survey_1_ZodiCorrected.fits
HFI_SkyMap_857_2048_R1.nn_survey_1_ZodiCorrected.fits
HFI_SkyMap_100_2048_R1.nn_survey_2_ZodiCorrected.fits
HFI_SkyMap_143_2048_R1.nn_survey_2_ZodiCorrected.fits
HFI_SkyMap_217_2048_R1.nn_survey_2_ZodiCorrected.fits
HFI_SkyMap_353_2048_R1.nn_survey_2_ZodiCorrected.fits
HFI_SkyMap_545_2048_R1.nn_survey_2_ZodiCorrected.fits
HFI_SkyMap_857_2048_R1.nn_survey_2_ZodiCorrected.fits

Meta Data[edit]

A detailed description of the data format of each file, including header keywords for fits files, extension names, column names, formats….


FITS file structure

The FITS files for the sky maps contain a simple primary header with no data, and BINTABLE extension (EXTENSION 1, EXTNAME = 'FREQ-MAP') containing the data. The structure is shows schematically in the figure at right. The primary header has the form

;-----------------------------------------------------------------------------
; EXTENSION 0: 
; - Header
;-----------------------------------------------------------------------------
MRDFITS: Null image, NAXIS=0
SIMPLE  =                    T /Dummy Created by MWRFITS v1.11                  
BITPIX  =                    8 /Dummy primary header created by MWRFITS         
NAXIS   =                    0 /No data is associated with this header          
EXTEND  =                    T /Extensions may (will!) be present               
END   

The FREQ-MAP BINTABLE extension contains the data. The table contains 3 columns of that contain the signal, variance, and hit-count maps in Healpix format. the number of rows is 50331648 for HFI and 12582912 for LFI, corresponding to the number of pixels in a Healpix map of Nside= 2048 and 1024, respectively (N.B: Npix = 12 Nside^2). The 3 columns are I_STOKES for the intensity (or temperature) signal, II_COV for the variance, and HIT for the hit-count. The exact order of the columns in the figure is indicative only, and the details can be found in the keywords. Keywords also indicate the coordinate system (GALACTIC), the Healpix ordering scheme (NESTED), the units (K_cmb or MJy/sr) of each column, and of course the frequency channel (FREQ). The COMMENT fields give a one-line summary of the product, and some other information useful for traceability within the DPCs. The original filename is also given in the FILENAME keyword as is the md5 checksum for the extension. The BAD_DATA keyword gives the value used by Healpix to indicate pixels for which no signal is present (these will also have a hit-count value of 0).

A typical header for the data extension of an intensity only map is:

;-----------------------------------------------------------------------------
; EXTENSION 1: FREQ-MAP
; - Header
;-----------------------------------------------------------------------------
MRDFITS: Binary table.  3 columns by  1 rows.
XTENSION= 'BINTABLE'           /Written by IDL:  Thu Jan 31 11:03:21 2013       
BITPIX  =                    8 /                                                
NAXIS   =                    2 /Binary table                                    
NAXIS1  =            603979776 /Number of bytes per row                         
NAXIS2  =                    1 /Number of rows                                  
PCOUNT  =                    0 /Random parameter count                          
GCOUNT  =                    1 /Group count                                     
TFIELDS =                    3 /Number of columns                               
COMMENT                                                                         
COMMENT  *** End of mandatory fields ***                                        
COMMENT                                                                         
EXTVER  =                    1 /Extension version                               
DATE    = '2013-01-31'         /Creation date                                   
COMMENT                                                                         
COMMENT  *** Column names ***                                                   
COMMENT                                                                         
TTYPE1  = 'I_STOKES'           /                                                
TTYPE2  = 'HITS    '           /                                                
TTYPE3  = 'II_COV  '           /                                                
COMMENT                                                                         
COMMENT  *** Column formats ***                                                 
COMMENT                                                                         
TFORM1  = '50331648E'          /                                                
TFORM2  = '50331648J'          /                                                
TFORM3  = '50331648E'          /                                                
COMMENT                                                                         
COMMENT  *** Column units ***                                                   
COMMENT                                                                         
TUNIT1  = 'K_CMB   '           /                                                
TUNIT2  = '        '           /                                                
TUNIT3  = 'K_CMB^2'           /                                                
COMMENT                                                                         
COMMENT  *** Planck params ***                                                  
COMMENT                                                                         
EXTNAME = 'FREQ-MAP'           / Extension name                                 
COORSYS = 'GALACTIC'           / Coordinate system                              
ORDERING= 'NESTED  '           / Healpix ordering                               
NSIDE   =                 2048 / Healpix Nside                                  
FIRSTPIX=                    0 / First pixel # (0 based)                        
LASTPIX =             50331647 / Last pixel # (0 based)                         
FILENAME= 'HFI_SkyMap_217_2048_R1.10_nominal_ZodiCorrected.fits' / FITS filename
CHECKSUM= '3aIB6Z993aGA3Y99'   / HDU checksum created 2013-01-31T10:03:22       
BAD_DATA=         -1.63750E+30 / bad pixel value                                
FREQ    = '217     '           / reference frequency                            
PROCVER = 'DX9_Delta'          / Product version                                
COMMENT                                                                         
COMMENT ------------------------------------------------------------------------
COMMENT Full channel sky map: nominal mission, corrected for Zodi & FSL         
COMMENT ------------------------------------------------------------------------
COMMENT Link to description in Planck Explanatory Supplement:                   
COMMENT http://www.sciops.esa.int/wikiSI/planckpla/index.php?title=             
COMMENT Frequency_Maps&instance=Planck_PLA_ES                                   
COMMENT ------------------------------------------------------------------------
COMMENT HFI-DMC objects:                                                        
COMMENT in-group: MAP_v53_noZodi_2048_GALACTIC_0240_27008/                      
COMMENT Creation date  - object name                                            
COMMENT 13-01-03 18:33 - 217GHz_W_TauDeconv_nominal_I                           
COMMENT 13-01-03 18:33 - 217GHz_W_TauDeconv_nominal_H                           
COMMENT 13-01-03 18:33 - 217GHz_W_TauDeconv_nominal_II                          
COMMENT ------------------------------------------------------------------------
END                                                                             

The same structure applies to all SkyMap products, independent of whether they are full channel, survey of half-ring. The distinction between the types of maps is present in the FITS filename (and in the traceability comment fields).


Detector-set maps[edit]

NOT FOR 1st RELEASE … put detset table elsewhere ????

Detector-set (detset) maps are built for the full (or nominal) mission using a minimal set of detectors. This concept is applicable to polarization maps, which are built using two PSB pairs at the proper orientations. The HFI polarized channels are designed to provide two detsets (or quads) each, namely:

HFI detector sets or quads
100–ds1: 100-1a,100-1b,100-4a,100-4b 100–ds2: 100-2a,100-2b,100-3a,100-3b
143–ds1: 143-1a,143-1b,143-3a,143-3b 143–ds2: 143-2a,143-2b,143-4a,143-4b
217–ds1: 217-5a,217-5b,217-7a,217-7b 217–ds2: 217-6a,217-6b,217-8a,217-8b
353–ds1: 353-5a,353-5b,353-3a,353-3b 353–ds2: 353-6a,353-6b,353-4a,353-4b

The LFI Detector-set maps are built using pairs of horns in the same scanning row, namely:

LFI Couple Horn sets
18_23: 18M,18S,23M,23S
19_22: 19M,19S,22M,22S
20_21: 20M,20S,21M,21S
24: 24M,24S
25_26: 25M,25S,26M,26S



A comment from E. Keihänen:

Here is a list of things that should go into this section:
Insert a table of maps delivered:
*file name
*radiometers included
*PID/OD range
*resolution
*(-polarization included or not)
*sky coverage
*baseline length
*-reference to input toi objects)
Explain the format of  the files, what is in what column, in what units.
Information common for all LFImaps:
*LFI maps were constructed with the Madam map-making code (version 3.7.4). 
Maps are in Healpix format, in nested pixeling scheme, in K_cmb units, and in galactic coordinate system.
*Unobserved pixels are marked by the special value -1.6375e30.

EK's comment ends ------

References[edit]

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  1. References

</biblio>

Cosmic Microwave background

(Planck) High Frequency Instrument

Operation Day definition is geometric visibility driven as it runs from the start of a DTCP (satellite Acquisition Of Signal) to the start of the next DTCP. Given the different ground stations and spacecraft will takes which station for how long, the OD duration varies but it is basically once a day.

(Planck) Low Frequency Instrument

To be defined / determined

Flexible Image Transfer Specification

random telegraphic signal

Explanatory Supplement

To be confirmed

sudden change of the baseline level inside a ring

Attitude History File

[ESA's] Mission Operation Center [Darmstadt, Germany]

Line Of Sight

Star TRacker

Noise Equivalent Temperature

reduced IMO

Planck Legacy Archive

Data Management Component, the databases used at the HFI and LFI DPCs