Title: Nessun titolo diapositiva
 1Modeling irradiance variations through full-disk 
PSPT images and semi-empirical atmosphere models
 Ilaria Ermolli 1 Francesco Berrilli 2, Mauro 
Centrone 1, Serena Criscuoli 2, Fabrizio Giorgi 
1, Valentina Penza 1, Corrado Perna 1 1 INAF 
Osservatorio Astronomico di Roma 2 Università 
degli Studi di Roma Tor Vergata
ISSI team  Session 1 - 11-15 october 2004 
 2COMBINED USE OF SEMI-EMPIRICAL MODELS AND 
 PHOTOMETRIC FULL-DISK IMAGES
Rome-PSPT Observing Program
Spectrum synthesis RISE and SATIRE models
Photometric properties of the Solar features 
along the cycle
Intensity for the various structures
Spectral synthesis
Test the capability of the models to reproduce 
the emergent intensity 
Reconstruction of the disk integrated spectrum 
(VIRGO SSI - TSI) 
 3COMBINED USE OF EMPIRICAL MODELS AND PHOTOMETRIC 
FULL-DISK IMAGES
Rome-PSPT Observing Program
Spectrum synthesis RISE and SATIRE models
Photometric properties of the Solar features 
along the cycle
Intensity for the various structures
Spectral synthesis
Test the capability of the models to reproduce 
the emergent intensity 
Reconstruction of the disk integrated spectrum 
(VIRGO SSI - TSI) 
 4RISE models (Fontenla et al. 1999, ApJ, 518, 480)
Model Structure Min  Max Disk 
Coverage A Faint cell 
interior 0.10 0.09 C Ave cell 
interior 0.77 0.70 E Active 
network 0.10 0.09 F Bright net/Faint 
plage 0.03 0.06 H Ave plage 0 0.05 P 
 Bright plage 0 0.007 S Spot 
umbra 0 0.003 
 5SATIRE models Kurucz flux spectra  FAL 
modified (Solanki and Unruh 1998, AA, 329, 747, 
..)
Model Structure FAL-C Quiet 
Sun FAL-P Faculae Kurucz 4500 Spot 
umbra Kurucz 5400 Spot Penumbra 
 6COMBINED USE OF EMPIRICAL MODELS AND PHOTOMETRIC 
FULL-DISK IMAGES
Rome-PSPT Observing Program
Spectrum synthesis RISE and SATIRE models
Photometric properties of the Solar features 
along the cycle
Intensity for the various structures
Spectral synthesis
Test the capability of the models to reproduce 
the emergent intensity 
Reconstruction of the disk integrated spectrum 
(VIRGO SSI - TSI) 
 7Photometric properties of solar features along 
the solar cycle
Ermolli et al. 2003, AA, 412, 857 
 8COMBINED USE OF EMPIRICAL MODELS AND PHOTOMETRIC 
FULL-DISK IMAGES
Rome-PSPT Observing Program
Spectrum synthesis RISE and SATIRE models
Photometric properties of the Solar features 
along the cycle
Intensity for the various structures
Spectral synthesis
Test the capability of the models to reproduce 
the emergent intensity 
Reconstruction of the disk integrated spectrum 
(VIRGO SSI - TSI) 
 9Test the capability of the models to reproduce 
the emergent intensity 
Penza et al. 2002, PhD Thesis 
 10Test the capability of the models to reproduce 
the emergent intensity 
Penza et al. 2004, AA, 413, 1115 
 11Test the capability of the models to reproduce 
the emergent intensity 
Penza et al. 2004, AA, 413, 1115 
 12Test the capability of the models to reproduce 
the emergent intensity 
 SATIRE Blue 
 SATIRE Red
 RISE Blue 
 RISE Red
Computed contrast of the solar structures for the 
PSPT continuum bands 
 13Test the capability of the models to reproduce 
the emergent intensity 
Mod E
Ermolli et al. 2003, AA, 412, 857
Mod H
Mod F
Penza et al. 2004, AA, 413, 1115 
 14Test the capability of the models to reproduce 
the emergent intensity 
Slight model modifications to optimize details of 
the comparison 
Penza et al. 2004, AA, 413, 1115
Fontenla et al. 2004, ApJ, 605, L85 
 15Test the capability of the models to reproduce 
the emergent intensity main results 
Mod E reproduces the network CLV
Computed/Measured 0.05 difference until m0.3
Blue continuum network contrast is very sensitive 
both to the Filter pass-band and to the 
microturbulence
Mod P and Mod H do not reproduce the measured 
facular CLV
Mod F reproduces the facular CLV with a 
difference less than 1 until m0.3 
Mod P and Mod H produce negative continuum 
facular contrast at the m1 , not measured
Slight model modifications to optimize details of 
this comparison 
 16COMBINED USE OF EMPIRICAL MODELS AND PHOTOMETRIC 
FULL-DISK IMAGES
Rome-PSPT Observing Program
Spectrum synthesis RISE and No-Rise models
Disentangle facular CLV results
Intensity for the various structures
Measurement of network cycle variations
Spectral synthesis
Test the capability of the models to reproduce 
the emergent intensity 
Reconstruction of the disk integrated spectrum 
(VIRGO SSI - TSI) 
 17Reconstruction of the disk integrated spectrum 
(VIRGO SSI - TSI)
PSPT CaII K-cont images 2000 days - VIRGO 
(total-spectral) Threshold -contiguity 
thecnique RISE  SATIRE models
Model Structure Mod C Quiet Sun Mod 
E Network Mod F Faculae Mod 
H Faculae Mod S Spot Umbra Kurucz 4500 Spot 
umbra Kurucz 5400 Spot Penumbra Tritschler and 
Schmidt 2002, AA, 382, 1093 
15 Jul 24 Aug 1996 
 18Reconstruction of the disk integrated spectrum 
(VIRGO SSI - TSI) 
 19RECONSTRUCTION OF THE DISK INTEGRATED SPECTRUM
Count magnetic ingredients of solar variability
Evaluate their respective wheight
Study limitations of decomposing the Sun into 
structures 
 20Count magnetic ingredients of solar variability 
 21Count magnetic ingredients of solar variability 
 22Count magnetic ingredients of solar variability 
 23Count magnetic ingredients of solar variability 
 24Count magnetic ingredients of solar variability 
 25Count magnetic ingredients of solar variability
MDI results by J. Pap and M. Turmon 
 26Count magnetic ingredients of solar variability 
 27Count magnetic ingredients of solar variability 
 28Count magnetic ingredients of solar variability 
 29Count magnetic ingredients of solar variability
5 components -gt 86 of TSI variance  
 30Reconstruction of the disk integrated spectrum 
(VIRGO SSI - TSI) Main results
Magnetic ingredients of solar variability
Spot (umbra, penumbra), faculae, network -gt 86 
of TSI variance
Their respective weight
Whether variation of the coverage factors 
alone and/or emergent intensity
Study limitations of decomposing the Sun into 
structures
The use of a set of 1D models simplifies the 
approach, but needs a correct determination of 
the coverage factors, that are strongly dependent 
on the feature identification procedures. 
 31CONCLUSIONS
Models modifications to optimize details
Careful calibrations of synoptic observing 
program results
Advanced image processing (image calibration  
features identification)