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1. Planck Diffuse Component SeparationTWG2.1 Review coordinators
Carlo Baccigalupi, Simon Prunet,
Michael Linden-VornleParis, November 24, 2001
2. Members & Criticalities
Results & Activities, Oct.2002
Results & Activities, Nov.2003
Work
Group Activities
Interactions with other TWGs
Near Future
Spectral Matching
Flexible MEM & COBE
FastICA & COBE
systematics removal
FastICA & polarisation
IFA
Spatial Matching
Harmonic FastICA TWG2.1 Review Contents
3. TWG2.1 Members Mark Ashdown, Vladislav Stolyarov (CPAC, Cambridge)
Carlo Baccigalupi, Francesca Perrotta (SISSA, Trieste)
James Bartlett, Alain Bouquet, Jacques Delabrouille,
Yannick Giraud-Heraud, Jean Kaplan (CdF, Paris)
Luigi Bedini, Emanuele Salerno, Anna Tonazzini,
Ercan Kuruoglu (IEI, Pisa)
Carlo Burigana, Lucia Popa (TeSRE, Bologna)
Krzysztof Gorski (MPA, Munich)
Eric Hivon, Jeffrey Jewell, Steve Levin (JPL, Pasadena)
Patrick Leahy (Jodrell Bank)
Michael Linden-Vornle (DSRI, Copenaghen)
Davide Maino (Milano)
Simon Prunet (IAP, Paris)
Benjamin Wandelt (Princeton)
4. TWG2.1 Criticalities Unique package
Flexibility
Maps, Harmonics & TODs
Blind & non-Blind merging
Polarisation
Complementarity
New techniques & development
Test with incoming CMB data
5. TWG2.1 Criticalities status at the Santander meeting, Oct. 2002 Unique package
Flexibility results,ongoing
Maps, Harmonics & TODs results,ongoing
Blind & non-Blind merging results,ongoing
Polarisation ongoing
Complementarity results
New techniques & development ongoing
Test with incoming CMB data results,ongoing
6. TWG2.1 Criticalities status at the Paris meeting, Nov. 2003 Unique package
Flexibility results+,ongoing+
Maps, Harmonics & TODs results,ongoing+
Blind & non-Blind merging results+,ongoing+
Polarisation results
Complementarity results
New techniques & development results,ongoing+
Test with incoming CMB data results+,ongoing+
7. TWG2.1 Results Review status at the Santander meeting, Oct. 2002
8. TWG2.1 Activity Review status at the Santander meeting, Oct. 2002
9. TWG2.1 Results Review status at the Paris meeting, Nov. 2002 Spectral Matching (Delabrouille et al. 2003)
Flexible MEM & COBE (Barreiro et al. 2003)
FastICA & COBE (Maino et al. 2003)
Systematic removal (Delabrouille et al. 2002)
FastICA & polarisation (Baccigalupi et al. 2003)
Spatial Matching (Bedini et al. 2003)
10. TWG2.1 Activity Review status at the Paris meeting, Nov. 2002 IFA testing (Kuruoglu et al. 2003)
SM on Archeops data (Delabrouille et al. 2003)
Harmonic (Maino et al. 2003)
FastICA & WMAP
11. Spectral Matching Concept Cl of the components to recover, mixing matrix, even noise considered as parameters
fit those parameters by matching with real data in the harmonic domain
control degeneracies with available priors (CMB frequency scaling, approximate template and frequency scalings for foregrounds, )
12. Spectral Matching Results Delabrouille et al. 2003
13. Flexible MEM & COBE Priors are only partially known when dealing with real data
make MEM flexible by running with many priors and estabilishing the ``Goodness of the results by matching with real data
Perform Monte Carlo simulations to quantify the effect of systematics and apply to real data
14. Flexible MEM & COBE Barreiro et al. 2003
15. Astrophysical Component Separation on COBE-DMR 4yr data with FastICA D.Maino, A.J. Banday, C. Baccigalupi, F.Perrotta, K.M.Grski
MNRAS, 2003, 344, 544
16. Introduction
17. Component Separation Approaches
18. Component Separation Problem - I
19. Component Separation Problem II
20. FastICA algorithm - I
21. FastICA algorithm - II
22. FastICA algorithm - III
23. FastICA algorithm - IV
24. Application to COBE-DMR 4yr data
25. Impact of noise distribution and amplitude
26. Testing Noise Distribution
27. Simulations Results - I
28. Simulations Results - II
29. Results - CMB
30. Extracting Cosmological Parameters
31. Qrms and n cosmological parameters
32. Adding priors on foregrounds
33. Results Foreground Emissions - I
34. Results Foreground Emissions - II
35. Results Foreground Emissions - III
36. Results Foreground Emissions - IV
37. Conclusions - I
38. Conclusions - II
39. Systematics Removal: an example Long spatial correlations in noise can be seen as a signal, seen in different timeline portions in detectors at different frequencies,
in the Fourier space, detectors scanning the same circle see the noise shifted by a phase factor,
include the noise in the components to separate and extract.
40. Systematics RemovalDelabrouille et al. 2002
41. The foreground contamination is worse and priors are weaker in polarisation with respect to total intensity
exploit the statistical difference in background and foreground signals, and the great detail of high resolution maps, in ideal conditions
if the nominal performance is satisfactory, check degradation with systematics Component Separation & Polarisation
42. Component Separation & Polarisation Baccigalupi et al. 2003
43. Harmonic Approach to Components Separation with FastICA D.Maino, A.J.Banday, C.Baccigalupi, F.Perrotta, M.A.J.Ashdown, K.M.Grski
44. Motivations
46. Component Separation Problem - II
47. FastICA algorithm - I
48. FastICA algorithm - II
49. FastICA algorithm - III
50. FastICA algorithm - IV
52. Preliminary Results Noiseless case
53. The First TWG2.1 meeting although we are late with the results Template made in coordination between Level S (Martin Reineke) and TWG2.1
Existing methods acting on the same simulated database
Evaluation criteria estabilished
Link with CTP
54. NASA & ICAA proposal submitted to NASA Long-Term Space Astrophysics Program
55. An example of Planckian TWG links
56. WMAP Unique approach failed (so far)
Local approaches ongoing (FastICA, )
57. New TWG2.1 meeting soon Planck TODs have been simulated with foregrounds and known systematics
Man power lacking to produce maps out of them
New TWG2.1 meeting, multi-frequency map-making and component separation
Timely for Planck as a whole, Unique Package criticality, testing and development
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