US Planck Data Analysis Review 1 Peter MeinholdUS Planck Data Analysis Review 9–10 May 2006 Where we need to be 2 months before launch- Instrument view.

Slides:



Advertisements
Similar presentations
Planck 2013 results, implications for cosmology
Advertisements

Clouds and the Earth’s Radiant Energy System NASA Langley Research Center / Atmospheric Sciences Methodology to compare GERB- CERES filtered radiances.
Propagation of Error Ch En 475 Unit Operations. Quantifying variables (i.e. answering a question with a number) 1. Directly measure the variable. - referred.
Foreground cleaning in CMB experiments Carlo Baccigalupi, SISSA, Trieste.
Cleaned Three-Year WMAP CMB Map: Magnitude of the Quadrupole and Alignment of Large Scale Modes Chan-Gyung Park, Changbom Park (KIAS), J. Richard Gott.
VISTA/WFCAM pipelines summit pipeline: real time DQC verified raw product to Garching standard pipeline: instrumental signature removal, catalogue production,
Contamination of the CMB Planck data by galactic polarized emissions L. Fauvet, J.F. Macίas-Pérez.
Component Separation of Polarized Data Application to PLANCK Jonathan Aumont J-F. Macías-Pérez, M. Tristram, D. Santos
Planck Satellite Revisited Anne Lähteenmäki Metsähovi Radio Observatory Helsinki University of Technology TKK.
Introduction to PSpice R. E. Abdel-Aal February 2005.
CMB polarisation results from QUIET
Section 15-1GLAST Ground System Design Review August 18&19, 2004 ISOC Organization ISOC Manager R Cameron Commanding, H&S Timeline Planning Command Generation.
CMB Polariztion B. Winstein Chicago, CfCP General Introduction to the Problem The CAPMAP Solution.
SLAC, May 12th, 2004J.L. Puget PLANCK J.L. Puget Institut d'Astrophysique Spatiale Orsay.
GLAST LAT Project 1S. Ritz Purposes of the Data Challenges “End-to-end” testing of analysis software. –define the ends –define the tests (what is success?)
Bruno Altieri September # 1 PACS photometer pipeline overview Bruno Altieri (ESA/HSC)
Operation tools: Quick Look Analysis, Trend Analysis and Sky Predictor M.-A. Miville-Deschênes Institut d’Astrophysique Spatiale, Orsay, France Planck.
DPC SGS-IR – ESTEC – January 2007 Anna Gregorio University of Trieste and INAF – Osservatorio Astronomico di Trieste On behalf of the Planck LFI.
P olarized R adiation I maging and S pectroscopy M ission Probing cosmic structures and radiation with the ultimate polarimetric spectro-imaging of the.
Bill Reach 2009 May 14 Greater IPAC Technology Symposium.
ASIAA NTU PHYS J.H.P.Wu & AMiBA Team To remove the ground pickup and electronic DC component in the data, we tracked the source- (P1) and tail- (P2) patches.
SCSC 311 Information Systems: hardware and software.
Page 1 PACS NHSC Data Processing Workshop – Pasadena 26 th - 30 th Aug 2013 Overview of SPIRE Photometer Pipeline Kevin Xu NHSC/IPAC on behalf of the SPIRE.
US Planck Data Analysis Review 1 Christopher CantalupoUS Planck Data Analysis Review 9–10 May 2006 CTP Working Group Presented by Christopher Cantalupo.
Cosmic Microwave Background Carlo Baccigalupi, SISSA CMB lectures at TRR33, see the complete program at darkuniverse.uni-hd.de/view/Main/WinterSchoolLecture5.
1 GOES-R AWG Product Validation Tool Development Aviation Application Team – Volcanic Ash Mike Pavolonis (STAR)
Joint analysis of Archeops and WMAP observations of the CMB G. Patanchon (University of British Columbia) for the Archeops collaboration.
Cosmic Microwave Background Carlo Baccigalupi, SISSA CMB lectures at TRR33, see the complete program at darkuniverse.uni-hd.de/view/Main/WinterSchoolLecture5.
MS Calibration for Protein Profiles We need calibration for –Accurate mass value Mass error: (Measured Mass – Theoretical Mass) X 10 6 ppm Theoretical.
VIPER Quality Assessment Overview Presenter: Sathyadev Ramachandran, SPS Inc.
SSC SI Data Processing Pipeline Plans Tom Stephens USRA Information Systems Development Manager SSSC Meeting – Sept 29, 2009.
PACS NHSC Data Processing Workshop – Pasadena 10 th - 14 th Sep 2012 Measuring Photometry from SPIRE Observations Presenter: David Shupe (NHSC/IPAC) on.
Propagation of Error Ch En 475 Unit Operations. Quantifying variables (i.e. answering a question with a number) 1. Directly measure the variable. - referred.
Planck Science Team – UniMi-Milano – 02 – 04 November 2005 Andrea Zacchei / Davide Maino Planck ST #25 – UniMi, November 2005 Inputs from: SISSA,
QUIET Experiment Rencontres de Moriond 2010 March 14 th, 2010 Akito KUSAKA (for QUIET collaboration) University of Chicago, EFI and KICP.
Statistics Presentation Ch En 475 Unit Operations.
Mitglied der Helmholtz-Gemeinschaft Calibration of the COSY-TOF STT & pp Elastic Analysis Sedigheh Jowzaee IKP Group Talk 11 July 2013.
1 Stepping in everyone’s toes ( but for a good cause….) Eduardo do Couto e Silva Software Meeting – January 2001.
EBEx foregrounds and band optimization Carlo Baccigalupi, Radek Stompor.
The Planck Satellite Hannu Kurki-Suonio University of Helsinki Finnish-Japanese Workshop on Particle Cosmology, Helsinki
ASKAP: Setting the scene Max Voronkov ASKAP Computing 23 rd August 2010.
1 The Planck view of CMB Contamination from Diffuse Foregrounds Carlo Baccigalupi On Behalf of the Planck Collaboration KITP Conference, April 2013.
Page 1 PACS NHSC Webinar: New SPIRE Features in HIPE th Nov 2012, Pasadena Update on SPIRE Photometer Pipeline Kevin Xu NHSC/IPAC on behalf of the.
Adventures in Parameter Estimation Jason Dick University of California, Davis.
Bill Reach US Planck Data Analysis Review 9-10 May 2006 US Planck Data Analysis Review The Planck Early Release Compact Source Catalog - Status Bill Reach,
Mantid Stakeholder Review Nick Draper 01/11/2007.
Planck Report on the status of the mission Carlo Baccigalupi, SISSA.
Observation and Data Analysis Activityin SPOrt and BaR-SPOrt Exp.s Ettore Carretti Bologna 7-9 January 2004.
B. Caron, G. Balik, L. Brunetti LAViSta Team LAPP-IN2P3-CNRS, Université de Savoie, Annecy, France & SYMME-POLYTECH Annecy-Chambéry, Université de Savoie,
US Planck Data Analysis Review 1 Julian BorrillUS Planck Data Analysis Review 9–10 May 2006 Computing Facilities & Capabilities Julian Borrill Computational.
Blind Component Separation for Polarized Obseravations of the CMB Jonathan Aumont, Juan-Francisco Macias-Perez Rencontres de Moriond 2006 La.
Statistics Presentation Ch En 475 Unit Operations.
The KOSMOSHOWS What is it ? The statistic inside What it can do ? Future development Demonstration A. Tilquin (CPPM)
US Planck Data Analysis Review 1 Peter MeinholdUS Planck Data Analysis Review 9–10 May 2006 LFI Integration and Test Support.
150GHz 100GHz 220GHz Galactic Latitude (Deg) A Millimeter Wave Galactic Plane Survey with the BICEP Polarimeter Evan Bierman (U.C. San Diego) and C. Darren.
WG2 Meeting, Paris, 28-11/ WG2 and LFI-DPC Davide Maino, Carlo Baccigalupi.
Calibration algorithm and detector monitoring - TPC Marian Ivanov.
REDUCTION OF GALFACTS DATA AND VARIABLE RADIO SOURCES Scott Barenfeld with Tapasi Ghosh and Chris Salter.
A. Ealet Berkeley, december Spectrograph calibration Determination of specifications Calibration strategy Note in
1 NHSC PACS NHSC/PACS Web Tutorials Running PACS photometer pipelines PACS-403 (for Hipe 13.0) Level 1 to Level 2.5 processing: The Unimap pipeline Prepared.
Planck working group 2.1 diffuse component separation review Paris november 2005.
The Planck view of CMB Contamination from Diffuse Foregrounds
Automated OTMS Raghav Malik.
Simulations and Data Reduction of the ESA Planck mission
Grid and Scientific applications
(for the Algorithm Development Group of the US Planck Team)
Beam Deconvolution Map-Making
Proposal for LAT Year 1 Data Release Plan
Systematics session: Gain stability
LFI systematics and impact on science
Presentation transcript:

US Planck Data Analysis Review 1 Peter MeinholdUS Planck Data Analysis Review 9–10 May 2006 Where we need to be 2 months before launch- Instrument view

2 US Planck Data Analysis Review 9–10 May 2006Peter Meinhold 2 Planck 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 3 Philosophy 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 4 Specific 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 5 Develop and Test Software Tools Develop 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 6 Make 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 7 Required 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.