HFI-Validation

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.

Expected systematics and tests (bottom-up approach)

Like all experiments, Planck/HFI had a number of "issues" which it needed to track and verify were not compromising the data. While these are discussed in appropriate sections, here we gather them together to give brief summaries of the issues and refer the reader to the appropriate section for more details.

• Cosmic Rays - Unprotected by the atmosphere and more sensitive than previous bolometric experiment, HFI was subjected to many more cosmic ray hits than previous experiments. These were detected, the worst parts of the data flagged as unusable, and "tails" were modeled and removed. This is described in XXXXX
• Elephants - Cosmic rays also hit the 100 mK stage and cause the temperature to vary, inducing small temperature and thus noise variations in the detectors. This is described in XXXXX
• 1.6 K Stage Fluctuations
• 4 K Stage Fluctuations
• Popcorn Noise - Some channels were occasionally affected by what seems to be a "split-level" noise, which has been variously called popcorn noise or random telegraphic signal. These data are usually flagged. This is described in XXXXX
• Jumps - Similar to but distinct from popcorn noise, small jumps were occasionally found in the data streams. These data are usually corrected. This is described in XXXXX.
• 4 K Cooler-Induced EM Noise - The 4 K cooler induced noise in the detectors with very specific frequency signatures, which is filtered. This is described in XXXXX.
• 4 K Cooler-Induced Microphonics - The mechanical cooler was shown in XXXXX to cause very little microphonic parasites in the detector data.
• Pointing-Change Microphonics - The changes in pointing after each pointing period were shown in XXXXX to cause very little microphonic parasitic signal in the detector data.
• Compression - Onboard compression is used to overcome our telemetry bandwidth limitations. This is explained in XXXXX.
• Noise Correlations - Correlations in noise between detectors seems to be negligble but for two polarization sensitive detectors in the same horn. This is discussed in XXXXX.
• Electrical Cross-Talk - Cross-talk is discussed in XXXXX.

• Pointing - The final pointing reconstruction for Planck is near the arcsecond level. This is discussed in XXXXX.
• Focal Plane Geometry - The relative positions of different horns in the focal plane is reconstructed using planets. This is discussed in XXXXX.
• Main Beam - The main beams for HFI are discussed in XXXXX.
• Ruze Envelope - Random imperfections or dust on the mirrors can increase the size of the beam a bit. This is discussed in XXXXX.
• Dimpling - The mirror support structure causes a pattern of small imperfections in the beams, which cause small sidelobe responses outside the main beam. This is discussed in XXXXX.
• Far Sidelobes - Small amounts of light can sometimes hit the detectors from just above the primary or secondary mirrors, or even from reflecting off the baffles. While small, when the Galactic center is in the right position, this can be detected in the highest frequency channels, so this is removed from the data. This is discussed in XXXXX.
• Planet Fluxes - Comparing the known fluxes of planets with the calibration on the CMB dipole is a useful check of calibration. This is done in XXXXX.
• Point Source Fluxes - As with planet fluxes, we also compare fluxes of known, bright point sources with the CMB dipole calibration. This is done in XXXXX.

• Time Constants - The HFI bolometers do not react instantaneously to light; there are small time constants, discussed XXXXX.
• ADC Correction - The HFI Analog-to-Digital Converters are not perfect, and are not used perfectly. Their effects on the calibration are discussed in XXXXX.
• Gain changes with Temperature Changes
• Optical Cross-Talk - This is discussed in XXXXX.
• Bandpass - The transmission curves, or "bandpass" has shown up in a number of places. This is discussed in XXXXX and YYYYY.
• Saturation - While this is mostly an issue only for Jupiter observations, it should be remembered that the HFI detectors cannot observe arbitrarily bright objects. This is discussed in XXXXX.

Top-down approach to systematics

While we track and try to limit the 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,

o Survey 3 minus Survey 1

Yardstick simulations

Yardstick simulations (Delouis)

The yardstick 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?).

Yardstick 3.0 that characterizes the DX9 data goes through the following steps:

1. The input maps are computed using the Planck Sky Model.
2. The LevelS is used to project input maps on timeline using the B-Spline scanning beam and the DX9 pointing (called ptcor6). The real pointing is affected by the aberration that is corrected by map-making. Yardstick does not simulate aberration. Finally, the difference between the projected pointing from simulation and from DX9 is equal to the aberration.
3. The simulated noise timelines, that are added to the projected signal, have the same spectrum (low and high frequency) than the characterized noise. For yardstick 3.0. No correlation in time or between detectors have been simulated.
4. The simulation map making step use the DX9 sample flags.
5. For the low frequencies (100, 143, 217, 353), the yardstick output are calibrated using the same mechanism (e.g. dipole fitting) than DX9. The calibration is not done for higher frequency (545, 857)
6. The Official map making is run on those timelines using the same parameters than for real data.

A yardstick production is composed by all survey map (1,2 and nominal), all detector Detsets and channel maps. The Yardstick 3.0 is based on 5 noise iterations for each map realization.

Simulations versus data results (including PTE) (Techene)

We make consistency test between DX9 and Yardstick production. Yardstick production contains sky (generated with LevelS starting from PSM177) and noise timeline realizations procedeed with the official map making. DX9 production was regenerated in order to get rid of possible differences that might appear for not running the official pipeline in the same conditions. We compare statistical properties of the cross spectra of null test maps for 100, 143, 217, 353 channels. Null test maps can be survey null test or half focal plane null test, each of them means a specific goal : survey1-survey2 aims at isolating transfert function or pointing issues, while half focal plane null test enables to focus on beam issues. Comparing cross spectra we isolate systematic effects from the noise, and we can check whether they are properly simulated or need to. Spectra are computed with spice 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%. Example of mask fsky=30% : figure DX9 and the Y3.0 iterations are binned using : '/data/dmc/MISS03/DATA/BINTAB/bin_v4.7_tt'. For each bin we compute the statisical parameters of the Yardstick distribution. The following plot shows the differences between Y3.0 mean and DX9 considering the standart deviation of the yardstick. We also indicate chi square value, Chi^2 is computed over larger bin : [0,20][20,400] [400,1000][1000,2000][2000, 3000], using the ratio between (DX9-Y3.0 mean)^2 and Y3.0 variance within each bin. Exemple of consistency test for 143 survey null test maps : figure