US Planck Data Analysis US Planck Data Analysis Review Review Christopher Cantalupo US Planck Data Analysis Review • 9–10 May 2006 CTP Working Group CTP Working Group Presented by Christopher Cantalupo 5/9/06 Based on slides by Charles Lawrence and Eric Hivon
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US Planck Data Analysis Review 1 Christopher CantalupoUS Planck Data Analysis Review 9–10 May 2006 CTP Working Group Presented by Christopher Cantalupo.
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US Planck Data Analysis ReviewUS Planck Data Analysis Review
Christopher Cantalupo US Planck Data Analysis Review • 9–10 May 2006
CTP Working GroupCTP Working Group
Presented by Christopher Cantalupo
5/9/06
Based on slides by Charles Lawrence and Eric Hivon
2 US Planck Data Analysis Review • 9–10 May 2006Christopher Cantalupo
The Role of CTPThe Role of CTP
Develop and test methods for critical data processing steps:
– Map making
– Power spectrum estimation
– Parameter estimation
Contributions to date:
– Developed infrastructure needed to generate and analyze large simulations. 1 year of data from 12 detectors vs. weeks of data from single detector. Terrabytes of data that now include many complexities of real world data.
– Investigated map making on large simulations.
– NERSC’s computational facilities have enabled this work.
3 US Planck Data Analysis Review • 9–10 May 2006Christopher Cantalupo
A Series of SimulationsA Series of Simulations
CTP WG has has biweekly telecon since 2002.
Week-long working meetings approximately yearly.
Special priority use of the NERSC facilities for some meetings.
New simulations produced for each meeting:
– Cambridge, June 2002
– Cambridge, January 2003 Poutanen et al, A&A 2006
– Garching, September 2003
– Helsinki, June 2004 Ashdown et al, A&A submitted (or almost)
– Paris, June 2005 Paper in preparation
– Trieste, May 2006
The Trieste simulation set will test many systematic and foreground issues.
4 US Planck Data Analysis Review • 9–10 May 2006Christopher Cantalupo
Compared SoftwareCompared Software
GLS algorithm based map making software
– ROMA
– MADmap
– MapCUMBA
Destriping algorithm based map making software
– Polar
– MADAM
– Springtide
5 US Planck Data Analysis Review • 9–10 May 2006Christopher Cantalupo
Summary of SimulationsSummary of Simulations
6 US Planck Data Analysis Review • 9–10 May 2006Christopher Cantalupo
Cambridge SummaryCambridge Summary
Single LFI 100 GHz detector.
One year mission time: TOD’s generated with LevelS.
No polarization, only intensity data.
Symmetric and elliptical beams (FWHM 10 arcminutes).