us planck data analysis review 1 peter meinholdus planck data analysis review 9–10 may 2006 where...
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US Planck Data Analysis ReviewUS Planck Data Analysis Review
Peter Meinhold US Planck Data Analysis Review • 9–10 May 2006
Where we need to be 2 months before Where we need to be 2 months before launch- Instrument viewlaunch- Instrument view
2 US Planck Data Analysis Review • 9–10 May 2006Peter Meinhold
Planck Instrument GroupPlanck Instrument Group
US instrument scientists have formed a group dedicated to transferring hardware experience and expertise from integration and test to the analysis pipelines
– Membership from both HFI and LFI teams
– Members already heavily involved in planning, executing and analyzing ground test campaigns
– Members with extensive experience in end to end development and analysis of ground and balloon based CMB experiments.
Current members
– Brendan Crill (IPAC)
– Warren Holmes (JPL)
– Bill Jones (Caltech)
– Peter Meinhold (UCSB)
– Rodrigo Leonardi (UCSB)
– Mike Seiffert (JPL)
– Todd Gaier (JPL)
– Sarah Church (Stanford)
3 US Planck Data Analysis Review • 9–10 May 2006Peter Meinhold
PhilosophyPhilosophy
Successful operation of Planck will require:Rapid and accurate feedback of instrument performance, systematics and pathologies to instrument command uplink. – The survey is time limited and it is critical that the instruments be optimized and any problems
identified and resolved rapidly.
– Instrument related analysis tools and clear lines of communication to responsible team members will be invaluable in ensuring Planck fulfils its objectives.
Full exploitation of Planck data will require:Intensive iteration of the pipeline from raw data to power spectra, with an emphasis on detecting, removing and quantifying residuals of systematic errors and foregrounds.Detailed Instrument Models– Extensive data on instrument properties derived from ground and on-orbit tests
– Theoretical and empirical models for how expected systematic effects couple to the data
Software tools– Tools to simulate expected systematic effects using monte carlo or real data and for
removing effects using blind or modeled fitting
– Full nominal LFI and HFI pipelines
Infrastructure– Computer hardware and data availability to allow extensive interaction with the data on daily
(tod and ring bins), weekly (ring sets and submaps) and longer timescales for Instrument scientists.
4 US Planck Data Analysis Review • 9–10 May 2006Peter Meinhold
Specific goals 2 months before launch: dataSpecific goals 2 months before launch: data
We will generate or obtain the following data products
– Full understanding of the ground test data for both instruments Specifically need noise model, gain, 1/f, compression, bandshape and beam
shapes. Parametric models of sensitivity to temperatures and bias settings. For HFI, time constants.
Resolution of inconsistencies in ground tests: for HFI from JPL, UWC IAS and CSL tests, for LFI from JBO, Ylinen, Santander, Laben and CSL (HFI+LFI)
Parameterized Instrument Models (IMO) for both HFI and LFI that can be read by both HFI and LFI pipelines
– Model sky for simulations, tested with local Level S installation
– Tested access to the Planck data in near real time (within 12 hours) through official channel
– Pointing solution results from the (HFI) DPCs
5 US Planck Data Analysis Review • 9–10 May 2006Peter Meinhold
Develop and Test Software ToolsDevelop and Test Software Tools
We Will Develop and Test The Following Software Tools
– Level S modifications /modules for simulating instrument non-idealities Cross polar response of all channels (even spider web bolometers) Temperature drifts Nonstationary noise EMI/EMC generated ‘spikes’ in the PSD Correlated noise
– LFI and HFI nominal pipelines Tools for processing time ordered data to produce ‘cleaned’ TODs for
mapmaking– Will include tools for nonlinear regression, ‘spikes’ (both in power spectra and time
domain)
For LFI a tool to generate ‘on the fly’ polarization differences for mapmaking (to compare with polarization maps made by map differencing).
6 US Planck Data Analysis Review • 9–10 May 2006Peter Meinhold
Make and Use Reporting ToolsMake and Use Reporting Tools
We will build and test an Automated daily internal reporting tool
– For LFI this will be related to LIFE and be done in IDL
– For HFI this will be standalone code
– Reports will be as unified as possible with the same graphic format
– Portions of the reports will include direct TOD cross comparisons
– Some sample report parameters Average, standard deviation of detector DC levels (differences for LFI_ Correlation amplitudes of detector outputs with (FPU temp, time, azimuth,…) White noise and 1/f noise levels and power law slope Line amplitudes and frequencies (microphonic for HFI, EMC/EMI for LFI) Best fit dipole calibration and error Best fit galaxy calibration (csc(b) fit, as Archeops)
We will build and test systematic separation tools using LFI and HFI maps (delivered from DPCs)
7 US Planck Data Analysis Review • 9–10 May 2006Peter Meinhold
Required InfrastructureRequired Infrastructure
Verified, official mechanism for data access and transfer
Secure local server with a large (>10 TB) disk for time ordered data analysis
Tested, up to date, installations of HFI and LFI pipelines
Maintained clear lines of communication for:
– Keeping current with instrument activities in Europe.
– Reporting our analysis results back to the DPCs.
– Influencing commanding decisions for each instrument.