Difference between revisions of "HFI-Validation"

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The HFI validation is mostly modular. That is, each part of the pipeline, be it timeline processing, map-making, or any other, validates the results of its work at each step of the processing. In addition, we do additional validation with an eye towards overall system integrity. These are described below.
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{{DISPLAYTITLE:Overall internal validation}}
  
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==Expected systematics and tests (bottom-up approach)==
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The overall internal validation of the frequency maps is performed thanks to several tests:
 +
* difference between the PR2 (2015) and PR3 (2018) frequency maps,
 +
* survey difference maps for the PR2 and the PR3 frequency maps,
 +
* spectra of the PR2 and the PR3 data splits,
 +
* comparison of the FFP10 simulations and the PR3 data.
  
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{{:HFI-bottom_up}}
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<br>
 +
<span style="font-size:150%">'''Frequency maps for the PR2 and the PR3 and their difference''' </span>
  
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==Generic approach to systematics==
+
This table shows the PR2 and PR3 maps and their differences in I, Q, and U. This table is complementary of the figure in {{PlanckPapers|planck2016-l03}} (see detailled explanations there).
  
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While we track and try to limit the individual effects listed above, and we do not believe there are other large effects which might compromise the data, we test this using a suite of general difference tests. As an example, the first and second years of Planck observations used almost exactly the same scanning pattern (they differed by one arc-minute at the Ecliptic plane). By differencing them, the fixed sky signal is almost completely removed, and we are left with only time variable signals, such as any gain variations and, of course, the statistical noise.  
+
{| border="1" cellpadding="3" cellspacing="0" align="center" style="text-align:centert" width=800px
 +
|+ '''Comparaison of PR2 and PR3 I, Q and U maps and their difference. '''
 +
|- bgcolor="ffdead"
 +
!
 +
!colspan="3"| PR2 frequency maps
 +
!colspan="3"| PR3 frequency maps
 +
!colspan="3"| difference
 +
|-
 +
!
 +
!I
 +
!Q
 +
!U
 +
!I
 +
!Q
 +
!U
 +
!I
 +
!Q
 +
!U
 +
|-
 +
| 100 GHz
 +
|[[File:100GHz_DX11_I.pdf.pdf|100px]]
 +
|[[File:100GHz_DX11_Q.pdf.pdf|100px]]
 +
|[[File:100GHz_DX11_U.pdf.pdf|100px]]
 +
|[[File:100GHz_I.pdf|100px]]
 +
|[[File:100GHz_Q.pdf|100px]]
 +
|[[File:100GHz_U.pdf|100px]]
 +
|[[File:100GHz_diff_I.pdf.pdf|100px]]
 +
|[[File:100GHz_diff_Q.pdf.pdf|100px]]
 +
|[[File:100GHz_diff_U.pdf.pdf|100px]]
 +
|-
 +
| 143 GHz
 +
|[[File:143GHz_DX11_I.pdf.pdf|100px]]
 +
|[[File:143GHz_DX11_Q.pdf.pdf|100px]]
 +
|[[File:143GHz_DX11_U.pdf.pdf|100px]]
 +
|[[File:143GHz_I.pdf|100px]]
 +
|[[File:143GHz_Q.pdf|100px]]
 +
|[[File:143GHz_U.pdf|100px]]
 +
|[[File:143GHz_diff_I.pdf.pdf|100px]]
 +
|[[File:143GHz_diff_Q.pdf.pdf|100px]]
 +
|[[File:143GHz_diff_U.pdf.pdf|100px]]
 +
|-
 +
| 217 GHz
 +
|[[File:217GHz_DX11_I.pdf.pdf|100px]]
 +
|[[File:217GHz_DX11_Q.pdf.pdf|100px]]
 +
|[[File:217GHz_DX11_U.pdf.pdf|100px]]
 +
|[[File:217GHz_I.pdf|100px]]
 +
|[[File:217GHz_Q.pdf|100px]]
 +
|[[File:217GHz_U.pdf|100px]]
 +
|[[File:217GHz_diff_I.pdf.pdf|100px]]
 +
|[[File:217GHz_diff_Q.pdf.pdf|100px]]
 +
|[[File:217GHz_diff_U.pdf.pdf|100px]]
 +
|-
 +
| 353 GHz
 +
|[[File:353GHz_DX11_I.pdf.pdf|100px]]
 +
|[[File:353GHz_DX11_Q.pdf.pdf|100px]]
 +
|[[File:353GHz_DX11_U.pdf.pdf|100px]]
 +
|[[File:353GHz_I.pdf|100px]]
 +
|[[File:353GHz_Q.pdf|100px]]
 +
|[[File:353GHz_U.pdf|100px]]
 +
|[[File:353GHz_diff_I.pdf.pdf|100px]]
 +
|[[File:353GHz_diff_Q.pdf.pdf|100px]]
 +
|[[File:353GHz_diff_U.pdf.pdf|100px]]
 +
|-
 +
| 545 GHz
 +
|[[File:545GHz_DX11_I.pdf.pdf|100px]]
 +
| .
 +
| .
 +
|[[File:545GHz_I.pdf|100px]]
 +
| .
 +
| .
 +
|[[File:545GHz_diff_I.pdf.pdf|100px]]
 +
| .
 +
| .
 +
|-
 +
| 857 GHz
 +
|[[File:857GHz_DX11_I.pdf.pdf|100px]]
 +
| .
 +
| .
 +
|[[File:857GHz_I.pdf|100px]]
 +
| .
 +
| .
 +
|[[File:857GHz_diff_I.pdf.pdf|100px]]
 +
| .
 +
| .
 +
|}
  
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In addition, while Planck scans the sky twice a year, during the first six months (or survey) and the second six months (the second survey), the orientations of the scans and optics are actually different. Thus, by forming a difference between these two surveys, in addition to similar sensitivity to the time-variable signals seen in the yearly test, the survey difference also tests our understanding and sensitivity to scan-dependent noise such as time constant and beam asymmetries.
 
  
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These tests use the <tt>Yardstick</tt> simulations below and culminate in the "Probabilities to Exceed" tests just after.
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<br>
 +
<span style="font-size:150%">'''Survey difference maps for the PR2 and the PR3 data''' </span>
  
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==HFI simulations==
+
This table shows the PR2 and PR3 survey difference maps ((S1+S3)-(S2+S4))in I, Q, and U. This table is taken from {{PlanckPapers|planck2016-l03}} (see detailled explanations there).
  
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[[Image:HFI-sims.png|HFI simulations chain(s)|thumb|800px|The full chain (showing where each aspect is simulated/analysed, and various short-cuts, for differnet purposes.]]
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{| border="1" cellpadding="3" cellspacing="0" align="center" style="text-align:centert" width=800px
−
+
|+ '''Comparaison of PR2 and PR3 I, Q and U survey difference maps.'''
 +
|- bgcolor="ffdead"
 +
!
 +
!colspan="3"| PR2 survey difference maps
 +
!colspan="3"| PR3 survey difference maps
 +
|-
 +
!
 +
!I
 +
!Q
 +
!U
 +
!I
 +
!Q
 +
!U
 +
|-
 +
| 100 GHz
 +
|[[File:100GHz_DX11_surveyS1S3_S2S4_I.pdf|100px]]
 +
|[[File:100GHz_DX11_surveyS1S3_S2S4_Q.pdf.pdf|100px]]
 +
|[[File:100GHz_DX11_surveyS1S3_S2S4_U.pdf.pdf|100px]]
 +
|[[File:100GHz_RD12RC4_surveyS1S3_S2S4_I.pdf|100px]]
 +
|[[File:100GHz_RD12RC4_surveyS1S3_S2S4_Q.pdf|100px]]
 +
|[[File:100GHz_RD12RC4_surveyS1S3_S2S4_U.pdf|100px]]
 +
|-
 +
| 143 GHz
 +
|[[File:143GHz_DX11_surveyS1S3_S2S4_I.pdf|100px]]
 +
|[[File:143GHz_DX11_surveyS1S3_S2S4_Q.pdf.pdf|100px]]
 +
|[[File:143GHz_DX11_surveyS1S3_S2S4_U.pdf.pdf|100px]]
 +
|[[File:143GHz_RD12RC4_surveyS1S3_S2S4_I.pdf|100px]]
 +
|[[File:143GHz_RD12RC4_surveyS1S3_S2S4_Q.pdf|100px]]
 +
|[[File:143GHz_RD12RC4_surveyS1S3_S2S4_U.pdf|100px]]
 +
|-
 +
| 217 GHz
 +
|[[File:217GHz_DX11_surveyS1S3_S2S4_I.pdf|100px]]
 +
|[[File:217GHz_DX11_surveyS1S3_S2S4_Q.pdf.pdf|100px]]
 +
|[[File:217GHz_DX11_surveyS1S3_S2S4_U.pdf.pdf|100px]]
 +
|[[File:217GHz_RD12RC4_surveyS1S3_S2S4_I.pdf|100px]]
 +
|[[File:217GHz_RD12RC4_surveyS1S3_S2S4_Q.pdf|100px]]
 +
|[[File:217GHz_RD12RC4_surveyS1S3_S2S4_U.pdf|100px]]
 +
|-
 +
| 353 GHz
 +
|[[File:353GHz_DX11_surveyS1S3_S2S4_I.pdf|100px]]
 +
|[[File:353GHz_DX11_surveyS1S3_S2S4_Q.pdf.pdf|100px]]
 +
|[[File:353GHz_DX11_surveyS1S3_S2S4_U.pdf.pdf|100px]]
 +
|[[File:353GHz_RD12RC4_surveyS1S3_S2S4_I.pdf|100px]]
 +
|[[File:353GHz_RD12RC4_surveyS1S3_S2S4_Q.pdf|100px]]
 +
|[[File:353GHz_RD12RC4_surveyS1S3_S2S4_U.pdf|100px]]
 +
|-
 +
| 545 GHz
 +
|[[File:545GHz_DX11_surveyS1S3_S2S4_I.pdf|100px]]
 +
| .
 +
| .
 +
|[[File:545GHz_RD12RC4_surveyS1S3_S2S4_I.pdf|100px]]
 +
| .
 +
| .
 +
|-
 +
| 857 GHz
 +
|[[File:857GHz_DX11_surveyS1S3_S2S4_I.pdf|100px]]
 +
| .
 +
| .
 +
|[[File:857GHz_RD12RC4_surveyS1S3_S2S4_I.pdf|100px]]
 +
| .
 +
| .
 +
|}
  
  
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The '<tt>Yardstick</tt>' simulations allows gauging various effects to see whether they need be included in monte-carlo to describe data. It also allows gauging the significance of validation tests on data (e.g. can null test can be described by the model?).  They are completed by dedicated '<tt>Desire</tt>' simulations (<tt>Desire</tt> stands for DEtector SImulated REsponse), as well as Monte-Carlo simulations of the Beams determination to determine their uncertainty.
+
<br>
 +
<span style="font-size:150%">'''Spectra of the PR2 and the PR3 data splits''' </span>
  
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===<tt>Yardstick</tt> simulations===
+
This figure shows the ''EE'' and ''BB'' spectra of the PR2 and PR3 detset, half-mission and rings (for PR3 only) maps at 100, 143, 217, and 353 GHz. The auto-spectra of the difference maps and the cross-spectra between the maps are shown. The sky fraction used here is 43 %. The bins are: bin=1 for <math>2\leq\ell<30</math>; bin=5 for <math>30\leq\ell<50</math>; bin=10 for <math>50\leq\ell<160</math>; bin=20 for <math>160\leq\ell<1000</math>; and bin=100 for <math>\ell>1000</math>. This figure is taken from {{PlanckPapers|planck2016-l03}} (see detailled explanations there).
  
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The <tt>Yardstick</tt> V3.0 characterizes the DX9 data which is the basis of the data release. It goes through the following steps:
+
<center>
 +
[[File:cl_fsky43_DX11_RD12RC4_3000_oddeven_multiplot.pdf|500px]]
 +
</center>
  
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#The input maps are computed using the Planck Sky Model, taking the RIMO bandpasses as input.
 
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#The <tt>LevelS</tt> is used to project input maps on timeline using the RIMO(B-Spline) scanning beam and the DX9 pointing (called ptcor6). The real pointing is affected by the aberration that is corrected by map-making. The <tt>Yardstick</tt> does not simulate aberration. Finally, the difference between the projected pointing from simulation and from DX9 is equal to the aberration.
 
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#The simulated noise timelines, that are added to the projected signal, have the same spectrum (low and high frequency) than the DX9 noise. For the<tt>yardstick</tt> V3.0 Althoough detectable, no correlation in time or between detectors have been simulated.
 
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#The simulation map making step use the DX9 sample flags.
 
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#For the low frequencies (100, 143, 217, 353), the <tt>yardstick</tt> output are calibrated using the same mechanism (e.g. dipole fitting) than DX9. This calibration step is not perfromed for higher frequency (545, 857) which use a differnt principle
 
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#The Official map making is run on those timelines using the same parameters than for real data.
 
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A <tt>yardstick</tt> production is composed of
 
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* all survey map (1,2 and nominal),
 
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* all detector Detsets (from individual detectors to full channel maps).
 
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The <tt>Yardstick</tt> V3.0 is based on 5 noise iterations for each map realization.
 
  
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NB1: the <tt>Yardstick</tt> product is also the validating set for other implementations which are not using the HFI DPC production codes, an exemple of which are the so-called <tt>FFP</tt> simulations, where FFP stands for Full Focal Plane and are done in common by HFI & LFI. This is further described in [[HL-sims]] 
+
<br>
 +
<span style="font-size:150%">'''Comparison of the FFP10 simulated noise and systematic residuals and the PR3 data''' </span>
  
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NB2: A dedicated version has been used for Monte-Carlo simulations of the beams determination, or <tt>MCB</tt>. See [[Pointing&Beams#Simulations_and_errors]]
+
This figure shows the noise and systematic residuals in ''TT'', ''EE'', ''BB'', and ''EB'' spectra, at the three CMB frequencies, for difference maps of the ring (red) and half-mission (blue) null tests binned by <math>\Delta \ell =10</math>. Data spectra are represented by thick lines, and the averages of simulations by thin black lines. For the simulations, we show the 16 % and 84 % quantiles of the distribution with the same colours. This figure is taken from {{PlanckPapers|planck2016-l03}} (see detailled explanations there).
  
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===<tt>Desire</tt> simulations===
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<center>
 +
[[File:newpte.pdf|500px]]
 +
</center>
  
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Complementary to the <tt>Yardstick</tt> simulations, the <tt>Desire</tt> simulations are used in conjunction with the actual TOI processing, in order to investigate the impact of some systematics. The <tt>Desire</tt> pipeline allows to simulate the response of the HFI-instrument, including the non-linearity of the bolometers, the time transfer-function of the readout electronic chain, the conversion from power of the sky to ADU signal and the compression of the science data. It also includes various components of the noise like the glitches, the white and colored noise, the one-over-f noise and the RTS noise. Associated to the Planck Sky Model and LevelS tools, the Desire pipeline allows to perform extremely realistic simulations, compatible with the format of the output Planck HFI-data, including Science and House Keeping data. It goes through the following steps (see Fig. <tt>Desire</tt> End-to-End Simulations) :
 
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# The input maps are computed using the Planck Sky Model, taking the RIMO bandpasses as input;
 
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# The LevelS is used to project input maps into Time ordered Inputs TOIs, as described for the Yardstick simulations;
 
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# The TOIs of the simulated sky are injected into the Desire pipeline to produce TOIs in ADU, after adding instrument systematics and noise components;
 
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# The official TOI processing is applied on simulated data as done on real Planck-HFI TOIs;
 
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# The official map-making is run on those processed timelines using the same parameters as for real data;
 
  
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This Desire simulation pipeline allows to explore systematics such as 4K lines or Glitches residual after correction by the official TOI processing, as described below.
 
  
 +
==References==
  
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==Simulations versus data==
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<References />
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+
   
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The significance of various difference tests perfromed on data can be assessed in particular by comparing them with <tt>Yardstick</tt> realisations.
 
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<tt>Yardstick</tt> production contains sky (generated with <tt>LevelS</tt> starting from <tt>PSM</tt> V1.77) and noise timeline realisations proceeded with the official map making. DX9 production was regenerated with the same code in order to get rid of possible differences that might appear for not running the official pipeline in the same conditions.
 
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We compare statistical properties of the cross spectra of null test maps for the 100, 143, 217, 353 GHz channels. Null test maps can either be survey null test or half focal plane null test, each of which having a specific goal :
 
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* survey1-survey2 (S1-S2) aim at isolating transfer function or pointing issues, while
 
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* half focal plane null tests enable to focus on beam issues.
 
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Comparing cross spectra we isolate systematic effects from the noise, and we
 
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can check whether they are properly simulated or need to. Spectra are computed with <tt>spice</tt> masking either DX9 point sources or simulated point sources, and masking the galactic plane with several mask width, the sky fraction from which spectra are computed are around 30%, 60% and 80%.
 
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DX9 and the Y3.0 realisations are binned. For each bin we compute the statistical parameters (mean and variance) of the <tt>Yardstick</tt> distribution. The following figure is a typical example of a consistency test, it shows the differences between Y3.0 mean and DX9 considering the standard deviation of the yardstick. We also indicate chi square values, which are computed within larger bin : [0,20], [20,400], [400,1000][1000,2000], [2000, 3000], using the ratio between (DX9-Y3.0 mean)<sup>2</sup> and Y3.0 variance within each bin. This binned chi-square is only indicative: it may not be always significant, since DX9 variations sometimes disappear as we average them in a bin, the mean is then at the same scale as the yardstick one.
 
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[[File:DX9_Y3_consistency.png | 500px | center | thumb | '''Example of consistency test for 143 survey null test maps.''']]
 
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[[Here will be a linlk to a (big) pdf file with all those plots, and/or a visualisation page]].
 
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==Systematics Impact Estimates==
 
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===Cosmic Rays===
 
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We have used <tt>Desire</tt> simulations to investigate the impact of glitch residuals at 143GHz. We remind that TOIs are highly affected by the impact of cosmic rays inducing glitches on the timelines. While the peak of the glitch signal is flagged and removed from the data, the glitch tail is removed from the signal during the TOI processing. We have quantified the efficiency and the impact of the official TOI processing on the scientific signal.
 
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===1.6K and 4K stages Fluctuations===
 
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The 4K and 1.6K stages are thermally regulated. The level of (controlled) fluctuations is less than 20uK/sqrt(Hz) above the spin frequency (and below 0.2 Hz) for the 4K stage and 10uK/sqrt(Hz) for the the 1.6K stage. Using a typical coupling coefficient of 150 fW/K_4K, this translates into a noise of 3 aW/sqrt(Hz). This is 4% of the bolometer noise variance (with a NEP of typically 15aW/sqrt(Hz)), and is thus negligible.
 
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===RTS Noise===
 
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The Random Telegraphic Signal (RTS) noise, also called Popcorn Noise, appears as 2-levels jumps added on the baseline signal. Three bolometers are known to be affected by a high-RTS noise: 143-8, 545-3 and 857-4. While the 143-8 and 545-3 detectors are currently excluded from use in any products, other bolometers may show small amounts of small RTS.
 
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We have investigated the probable impact of RTS noise present below the detection limit, i.e. 0.2 times the standard deviation noise of the signal. The <tt>Desire</tt> simulations with and without RTS noise have been produce on 143GHz bolometers. The analysis performed on the TOIS has shown that the impact measured is in perfect agreement with the expectation derived from the pre-launch RTS report. Residual RTS appears to be strongly limited, with a negligible impact on TOI noise – does not dominate over the 1/f noise at low frequencies (0.01Hz or below), and it would disappear rapidly above 1 Hz, very probably irrelevant at map level.
 
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===Baseline Jumps===
 
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===Split-Level Noise===
 
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===Pointing-Change Microphonics===
 
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The "Thruster signal" is not present for all bolometer for 100, 143, 217 GHz. After the peak "Thruster signal", the relaxing time "normal noise" is about the same for all bolometers over channels, i.e. 12 seconds, but amplitude is different.
 
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Thus the effect of the manouver has decayed away long before the end of the "unstable" period, which would be minutes after the first thrust.
 
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This effect can be neglected, and does not need to be included in the simulation runs.
 
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===Electrical Cross-Talk===
 
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The Electrical Cross-Talk consists in the electrical contamination received by a given channel and coming from the other channels of the focal plane. This is mainly driven by the locations of the channels inside the electronic devices of the readout chain, and not by their locations in the focal plane.
 
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This effect has been first measured during the ground calibration phase, and then during the inflight 'Calibration, Performance and Validation' phase (CPV Phase) after launch. These two sets of measurements agree to show that the level of electrical cross-talk is smaller than 0.01% for SWBs and 0.1% for PSBs. These estimates have been confirmed by the analysis of the glitches. While the thousands of detected glitches have been flagged for a given channel, the signal of the neighbor channels have been stacked at the same dates of the glitch flags to reveal the amount of electrical contamination coming from the glitched signal. Strong glitches have also been used in the same scope in a second study. These two analysis based on glitches give the same estimates of electrical cross-talk as measured during calibration phases.
 
−
 
 
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Hence the electrical cross-talk has a negligible impact on science data, except probably for PSBs on which further <tt>Desire</tt> simulations will be carried out.
 
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−
 
 
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===Optical Cross-Talk===
 
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It has been shown using planets crossing that the optical cross-talk is negligible, with an upper limit of 0.01%.
 
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This effect can be neglected in the total budget error, without any end-to-end simulation.
 
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===Time Transfer Function Uncertainty===
 
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===4K lines Residuals===
 
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===Saturation===
 
  
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The Planck-HFI signal is converted into digital signal (Raw-Signal) by a 16 bit ADC. This signal is expressed in ADU, from 1 to 65535, and centered around 32768. A full saturation of the ADC corresponds to the value of 1310680 ADU, corresponding to the number of samples per half period times, N_sample, times 2^15. Nevertheless, the saturation of the ADC starts to appear when a fraction of the raw signal hits the 32767 (2^15) value.
 
  
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We have used the SEB tool (standing for Simulation of Electronics and Bolometer) to simulate the response of the Readout Electronics Chain at a very high sampling, to mimic the high frequency behavior of the chain and investigate sub-period effects.
+
[[Category:HFI data processing|006]]
−
It has been shown by this kind of simulations that the saturation of the ADC starts to appear if the signal is more then 7*10^5 - 8*10^5 ADU. Hence the variation of the gain, due to the saturation of the ADC, has an impact only when crossing Jupiter for SWB353GHz and SWB857GHz bolometers. This effect can be neglected.
 

Latest revision as of 08:40, 3 July 2018


The overall internal validation of the frequency maps is performed thanks to several tests:

  • difference between the PR2 (2015) and PR3 (2018) frequency maps,
  • survey difference maps for the PR2 and the PR3 frequency maps,
  • spectra of the PR2 and the PR3 data splits,
  • comparison of the FFP10 simulations and the PR3 data.


Frequency maps for the PR2 and the PR3 and their difference

This table shows the PR2 and PR3 maps and their differences in I, Q, and U. This table is complementary of the figure in Planck-2020-A3[1] (see detailled explanations there).

Comparaison of PR2 and PR3 I, Q and U maps and their difference.
PR2 frequency maps PR3 frequency maps difference
I Q U I Q U I Q U
100 GHz 100GHz DX11 I.pdf.pdf 100GHz DX11 Q.pdf.pdf 100GHz DX11 U.pdf.pdf 100GHz I.pdf 100GHz Q.pdf 100GHz U.pdf 100GHz diff I.pdf.pdf 100GHz diff Q.pdf.pdf 100GHz diff U.pdf.pdf
143 GHz 143GHz DX11 I.pdf.pdf 143GHz DX11 Q.pdf.pdf 143GHz DX11 U.pdf.pdf 143GHz I.pdf 143GHz Q.pdf 143GHz U.pdf 143GHz diff I.pdf.pdf 143GHz diff Q.pdf.pdf 143GHz diff U.pdf.pdf
217 GHz 217GHz DX11 I.pdf.pdf 217GHz DX11 Q.pdf.pdf 217GHz DX11 U.pdf.pdf 217GHz I.pdf 217GHz Q.pdf 217GHz U.pdf 217GHz diff I.pdf.pdf 217GHz diff Q.pdf.pdf 217GHz diff U.pdf.pdf
353 GHz 353GHz DX11 I.pdf.pdf 353GHz DX11 Q.pdf.pdf 353GHz DX11 U.pdf.pdf 353GHz I.pdf 353GHz Q.pdf 353GHz U.pdf 353GHz diff I.pdf.pdf 353GHz diff Q.pdf.pdf 353GHz diff U.pdf.pdf
545 GHz 545GHz DX11 I.pdf.pdf . . 545GHz I.pdf . . 545GHz diff I.pdf.pdf . .
857 GHz 857GHz DX11 I.pdf.pdf . . 857GHz I.pdf . . 857GHz diff I.pdf.pdf . .



Survey difference maps for the PR2 and the PR3 data

This table shows the PR2 and PR3 survey difference maps ((S1+S3)-(S2+S4))in I, Q, and U. This table is taken from Planck-2020-A3[1] (see detailled explanations there).

Comparaison of PR2 and PR3 I, Q and U survey difference maps.
PR2 survey difference maps PR3 survey difference maps
I Q U I Q U
100 GHz 100GHz DX11 surveyS1S3 S2S4 I.pdf 100GHz DX11 surveyS1S3 S2S4 Q.pdf.pdf 100GHz DX11 surveyS1S3 S2S4 U.pdf.pdf 100GHz RD12RC4 surveyS1S3 S2S4 I.pdf 100GHz RD12RC4 surveyS1S3 S2S4 Q.pdf 100GHz RD12RC4 surveyS1S3 S2S4 U.pdf
143 GHz 143GHz DX11 surveyS1S3 S2S4 I.pdf 143GHz DX11 surveyS1S3 S2S4 Q.pdf.pdf 143GHz DX11 surveyS1S3 S2S4 U.pdf.pdf 143GHz RD12RC4 surveyS1S3 S2S4 I.pdf 143GHz RD12RC4 surveyS1S3 S2S4 Q.pdf 143GHz RD12RC4 surveyS1S3 S2S4 U.pdf
217 GHz 217GHz DX11 surveyS1S3 S2S4 I.pdf 217GHz DX11 surveyS1S3 S2S4 Q.pdf.pdf 217GHz DX11 surveyS1S3 S2S4 U.pdf.pdf 217GHz RD12RC4 surveyS1S3 S2S4 I.pdf 217GHz RD12RC4 surveyS1S3 S2S4 Q.pdf 217GHz RD12RC4 surveyS1S3 S2S4 U.pdf
353 GHz 353GHz DX11 surveyS1S3 S2S4 I.pdf 353GHz DX11 surveyS1S3 S2S4 Q.pdf.pdf 353GHz DX11 surveyS1S3 S2S4 U.pdf.pdf 353GHz RD12RC4 surveyS1S3 S2S4 I.pdf 353GHz RD12RC4 surveyS1S3 S2S4 Q.pdf 353GHz RD12RC4 surveyS1S3 S2S4 U.pdf
545 GHz 545GHz DX11 surveyS1S3 S2S4 I.pdf . . 545GHz RD12RC4 surveyS1S3 S2S4 I.pdf . .
857 GHz 857GHz DX11 surveyS1S3 S2S4 I.pdf . . 857GHz RD12RC4 surveyS1S3 S2S4 I.pdf . .



Spectra of the PR2 and the PR3 data splits

This figure shows the EE and BB spectra of the PR2 and PR3 detset, half-mission and rings (for PR3 only) maps at 100, 143, 217, and 353 GHz. The auto-spectra of the difference maps and the cross-spectra between the maps are shown. The sky fraction used here is 43 %. The bins are: bin=1 for [math]2\leq\ell\lt 30[/math]; bin=5 for [math]30\leq\ell\lt 50[/math]; bin=10 for [math]50\leq\ell\lt 160[/math]; bin=20 for [math]160\leq\ell\lt 1000[/math]; and bin=100 for [math]\ell\gt 1000[/math]. This figure is taken from Planck-2020-A3[1] (see detailled explanations there).

Cl fsky43 DX11 RD12RC4 3000 oddeven multiplot.pdf



Comparison of the FFP10 simulated noise and systematic residuals and the PR3 data

This figure shows the noise and systematic residuals in TT, EE, BB, and EB spectra, at the three CMB frequencies, for difference maps of the ring (red) and half-mission (blue) null tests binned by [math]\Delta \ell =10[/math]. Data spectra are represented by thick lines, and the averages of simulations by thin black lines. For the simulations, we show the 16 % and 84 % quantiles of the distribution with the same colours. This figure is taken from Planck-2020-A3[1] (see detailled explanations there).

Newpte.pdf


References[edit]

  1. ↑ 1.01.11.21.3 Planck 2018 results. III. High Frequency Instrument data processing and frequency maps, Planck Collaboration, 2020, A&A, 641, A3.

Cosmic Microwave background

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