Difference between revisions of "Map-making"

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== Photometric calibration ==
 
== Photometric calibration ==
  
* dipole calibration  
+
* dipole calibration (100 to 353 GHz)
 +
 
 +
For the 2013 data release, the calibrator for the CMB frequency was the Solar dipole, as measured by the WMAP team.
 +
We use a two component template fitting procedure, performed for each detector independently,to determine ring by ring a estimation of the dipole gain. We average these estimation for a subset of rings in the first survey (2000 to 6000) in which the dipole's amplitude is high enough with respect to that of the sky template, to get a single dipole gain per detector.
 +
The two fitted component are the Solar dipole and a sky template. We used the PSM for thermal dust emission at the detector's frequency as a first approximation of the sky template. Using the HFI channel map as a template brings negligible change in the averaged gain, but reduces the systemati ring-to-ring ofour estimation. 
 +
 +
 
 +
* Higher frequency calibration (545 and 857 GHz) :
  
* Higher freqeuncy calibration
 
  
 
== Building of Maps ==  
 
== Building of Maps ==  
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== Noise properties ==
 
== Noise properties ==
  
Map noise properties can be evaluated using several methods.  
+
Map noise properties can be evaluated using several methods, thanks to the high level of observation redundancies.  
  
  
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== Map validation ==
 
== Map validation ==
 +
  
 
[[Category:Data processing]]
 
[[Category:Data processing]]

Revision as of 08:06, 19 October 2012

Introduction[edit]

This page will give an overview of the map-making and photometric calibration procedures used by the HFI DPC to build detector and frequency maps. This processing is described in the the HFI DPC Paper and the the HFI DPC Calibration co-Paper.

We work under destriping approximation, where the noise is assumed to decompose into two components : white noise plus low frequency drifts. Using the sky redundancy, the low frequency component is modelled as one constant, or offset, per pointing period. To speed up the ulterior processing we first build intermediate products, by taking advantage of redundancies : we average signal and detector orientation on healpix pixels visited during each fixed pointing period,which we call hereafter 'ring'. This intermediate product is called HPR for healpix pixel ring. This new dataset is used as input in the following steps.

Photometric calibration[edit]

  • dipole calibration (100 to 353 GHz)

For the 2013 data release, the calibrator for the CMB frequency was the Solar dipole, as measured by the WMAP team. We use a two component template fitting procedure, performed for each detector independently,to determine ring by ring a estimation of the dipole gain. We average these estimation for a subset of rings in the first survey (2000 to 6000) in which the dipole's amplitude is high enough with respect to that of the sky template, to get a single dipole gain per detector. The two fitted component are the Solar dipole and a sky template. We used the PSM for thermal dust emission at the detector's frequency as a first approximation of the sky template. Using the HFI channel map as a template brings negligible change in the averaged gain, but reduces the systemati ring-to-ring ofour estimation.


  • Higher frequency calibration (545 and 857 GHz) :


Building of Maps[edit]

Noise properties[edit]

Map noise properties can be evaluated using several methods, thanks to the high level of observation redundancies.


Zodi correction[edit]

Zodiacal Emission is removed from the 353, 545 and 857 GHz channels. It is described in the HFI DPC Paper, but a synopsis of the procedure is as follows:

  • During each survey, a large fraction of the sky has observations which all fall within a week of each other. That is, during a single survey, most pixels are observed during a short, well-defined period. The contribution from Zodiacal Emission to the total brightness seen, then, is well defined.
  • We use the the COBE model of the Zodiacal Light to make predictions for this Zodiacal emission for those pixels observed over a span of one week or less, and use GRASP models of the beams to predict the emission from the Galaxy given our sidelobes.
  • We fit the survey difference maps with these model templates to estimate the emissivity of each Zodi component and sidelobe at the Planck wavelengths.
  • We reconstruct each ring of the the full mission using the combination of the COBE geometric model with the emissivities determined above and the sidelobe models.
  • We remove the reconstruction above from each ring of data.
  • We then make maps as described previously in this section.

Far Sidelobe Correction[edit]

The far sidelobe correction is described in the section above. Note that this correction is done only for the 857 and 545 GHz channels, as it is not seen at longer wavelengths.

CO Correction[edit]

Map validation[edit]

(Planck) High Frequency Instrument

Data Processing Center

[LFI meaning]: absolute calibration refers to the 0th order calibration for each channel, 1 single number, while the relative calibration refers to the component of the calibration that varies pointing period by pointing period.

Cosmic Microwave background

Planck Sky Model