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SOFIA-POL 20072007 July 30University of Chicago
The Infrared - Millimeter Polarization Spectrum
John Vaillancourt
California Institute of Technology
SOFIA-POL 20072007 July 30University of Chicago
Observing Goals for FIR Polarization Spectra
• Characterize spectrum of different environments– Dense cloud cores– Cloud envelopes– Isolated cores / protostars
• T-tauri stars, Bok globules, other Class I - IV objects– Diffuse clouds - Different morphologies of IR Cirrus clouds
• Test models of alignment efficiency– Radiative torques increase alignment efficiency :
correlation between percent polarization and1. location of embedded stars (direct)2. location of dense clumpy material (inverse)3. dust temperature and/or spectral index (in p.o.s & along l.o.s.)
spectrum falls with (direct) spectrum rises with (inverse)
•B-field orientation changes with depth into cloud, or is unresolved
University of Chicago 2007 July 30 SOFIA-POL 2007
Magnetic field vs. Wavelength
60 m, 100 m, 350 m, 850 m
W3W51
Schleuning et al. 2000(350 m grayscale/contours)
Dotson et al. 2000Dotson et al. 2007Chrysostomou 2002
University of Chicago 2007 July 30 SOFIA-POL 2007
OMC-1: 450/350 m polarization spectrum
E-vectors
Orion Molecular Cloud: 3polarization vectors from SHARP/SHARC-IIRed = 350 m, Blue = 450 m, Purple = 850 (SCUBA)
10 arcsec beam
B-vectors
University of Chicago 2007 July 30 SOFIA-POL 2007
OMC-1: 450/350 m position angle variation
• Diamonds mark positions of BNKL, Trapezium, and KHW (north to south)
• Median angle difference (450) - (350) ~ -8 degrees (i.e. CW rotation with )
P > 3
SOFIA-POL 20072007 July 30University of Chicago
Observing Goals for FIR Polarization Spectra
• Characterize spectrum of different environments– Dense cloud cores– Cloud envelopes– Isolated cores / protostars
• T-tauri stars, Bok globules, other Class I - IV objects– Diffuse clouds - Different morphologies of IR Cirrus clouds
• Test models of alignment efficiency– Radiative torques increase alignment efficiency :
correlation between percent polarization and1. location of embedded stars (direct)2. location of dense clumpy material (inverse)3. dust temperature and/or spectral index (in p.o.s & along l.o.s.)
spectrum falls with (direct) spectrum rises with (inverse)
•B-field orientation changes with depth into cloud, or is unresolved
SOFIA-POL 20072007 July 30University of Chicago
Measured Polarization Spectra
Cloud EnvelopesVaillancourt 2002, 2007
Matthews et al. 2002
• P drops with increasing opacity in cores P ~ [1 - (0/]
• In cloud envelopes, polarization minimum ~ 350 m
Cloud CoresSchleuning 1998
Orion - KHW
Orion - KL
No
rma
lize
d P
ola
riza
tion
SOFIA-POL 20072007 July 30University of Chicago
Observing Goals for FIR Polarization Spectra
• Characterize spectrum of different environments– Dense cloud cores– Cloud envelopes– Isolated cores / protostars
• T-tauri stars, Bok globules, other Class I - IV objects– Diffuse clouds - Different morphologies of IR Cirrus clouds
• Test models of alignment efficiency– Radiative torques increase alignment efficiency :
correlation between percent polarization and location of embedded stars (direct) location of dense clumpy material (inverse) dust temperature and/or spectral index (in p.o.s & along l.o.s.)
spectrum falls with (direct) spectrum rises with (inverse)
•B-field orientation changes with depth into cloud, or is unresolved
SOFIA-POL 20072007 July 30University of Chicago
The Diffuse ISM: Infrared Cirrus Clouds- All grains exposed to same radiation field
• Finkbeiner, Davis, & Schlegel (FDS99) -- high latitude dust– T = 9.5 K, = 1.7 (silicate) – T = 16 K, = 2.7 (graphite)
• If silicate is polarized and
graphite unpolarized: TC > TSi, pC < pSi
Polarization rises with wavelength
IRAS 100m N. Gal. Pole (FDS99)
TA > TB, pA < pB
SOFIA-POL 20072007 July 30University of Chicago
Improving the Polarization Spectrum:Wavelength
• SHARP @ CSO
• 350 & 450 m, 620 m
• SCUBA-2 @ JCMT
• 450 & 850 m
• Bolocam @ CSO - 1100 m
• HAWC @ SOFIA
• 53, 88, 155, 215 m
SOFIA-POL 20072007 July 30University of Chicago
Improving the Polarization Spectrum: Sensitivity
p ~ 1% in 5 hrs
Improved sensitivity allows observations of more diffuse clouds
Instrument Wavelength
(m)
Beam size
(arcsec)
Sensitivity
(MJy/sr)
No. of IR
filaments
HAWC 88 9 400 2
155 15 100 49
215 21 60 53
SHARP 450 10 300 3
SCUBA-2* 850 15 2* 60*
BOLOCAM 1100 30 0.2 75
*Photometry only
• Consider filaments from Jackson, Werner, & Gautier 2003
SOFIA-POL 20072007 July 30University of Chicago
Observing Goals for FIR Polarization Spectra
• Characterize spectrum of different environments– Dense cloud cores– Cloud envelopes– Isolated cores / protostars
• T-tauri stars, Bok globules, other Class I - IV objects– Diffuse clouds - Different morphologies of IR Cirrus clouds
• Test models of alignment efficiency– Radiative torques increase alignment efficiency :
correlation between percent polarization and location of embedded stars (direct) location of dense clumpy material (inverse) dust temperature and/or spectral index (in p.o.s & along l.o.s.)
spectrum falls with (direct) spectrum rises with (inverse)
•B-field orientation changes with depth into cloud, or is unresolved
University of Chicago 2007 July 30 SOFIA-POL 2007
A) Near embedded stars - warm dust, “aligned” via radiative torquesB) Cooler dust away from stars; optically opaque clumpsC) Cold surface layers exposed to the interstellar radiation field (ISRF)
TA > TB > TC
pA pC > pB
Model of Molecular Clouds
ISRF
Falling P-spectrum
TA>TB, pA>pB, A ~ B
Rising P-spectrum
TB>TC, pB<pC, B ~ C
or
TB~TC, pB<pC, B> C
SOFIA-POL 20072007 July 30University of Chicago
Observing Goals for FIR Polarization Spectra
• Characterize spectrum of different environments– Dense cloud cores– Cloud envelopes– Isolated cores / protostars
• T-tauri stars, Bok globules, other Class I - IV objects– Diffuse clouds - Different morphologies of IR Cirrus clouds
• Test models of alignment efficiency– Radiative torques increase alignment efficiency :
correlation between percent polarization and1. location of embedded stars (direct)2. location of dense clumpy material (inverse)3. dust temperature and/or spectral index (in p.o.s & along l.o.s.)
spectrum falls with (direct) spectrum rises with (inverse)
•B-field orientation changes with depth into cloud, or is unresolved
University of Chicago 2007 July 30 SOFIA-POL 2007
Embedded Stars
SOFIA-POL 20072007 July 30University of Chicago
Observing Goals for FIR Polarization Spectra
• Characterize spectrum of different environments– Dense cloud cores– Cloud envelopes– Isolated cores / protostars
• T-tauri stars, Bok globules, other Class I - IV objects– Diffuse clouds - Different morphologies of IR Cirrus clouds
• Test models of alignment efficiency– Radiative torques increase alignment efficiency :
correlation between percent polarization and1. location of embedded stars (direct)2. location of dense clumpy material (inverse)3. dust temperature and/or spectral index (in p.o.s & along l.o.s.)
spectrum falls with (direct) spectrum rises with (inverse)
•B-field orientation changes with depth into cloud, or is unresolved
TA > TB, pA > pB
Expected Polarization Spectra(Hildebrand et al. 1999)
Dust emission from
• a single grain species at
• a single temperature yields
a flat spectrum in the FIR/SMM
Dust emission from
• multiple grain species at
• multiple temperatures
TA > TB, pA < pB
€
P(ν ) = piFi(ν )
Ftot (ν )i
∑
Fi(ν ) = ν β iBν (Ti)
dP
dλ≠ 0 only if p1 ≠ p2 AND
€
T1 ≠ T2
or
β1 ≠ β 2
SOFIA-POL 20072007 July 30University of Chicago
Polarization (%), Flux
(Jy/beam)
Temperature (K)
T2, Warm Component
28 K
52 K
Testing the Mixture ModelSpectralEnergyDistributions
T1, Cold Component
OMC-1
BNKL
M42
KHW
(Vaillancourt 2002)
University of Chicago 2007 July 30 SOFIA-POL 2007
OMC-1: 450/350 m polarization spectrum
E-vectors
Orion A Molecular Cloud (OMC-1): 3polarization vectors from SHARP/SHARC-II
Red = 350 m, Blue = 450 m
B-vectors
10 arcsec beam
University of Chicago 2007 July 30 SOFIA-POL 2007
OMC-1: 450/350 m polarization spectrum
• Diamonds mark positions of BNKL, Trapezium, and KHW (north to south)
• flip in ratio around BNKL also observed at P(100)/P(350) [Vaillancourt 2002]
• Median P(450) / P(350) ratio ~ 1.4
P > 3
SOFIA-POL 20072007 July 30University of Chicago
Observing Goals for FIR Polarization Spectra
• Characterize spectrum of different environments– Dense cloud cores– Cloud envelopes– Isolated cores / protostars
• T-tauri stars, Bok globules, other Class I - IV objects– Diffuse clouds - Different morphologies of IR Cirrus clouds
• Test models of alignment efficiency– Radiative torques increase alignment efficiency :
correlation between percent polarization and1. location of embedded stars (direct)2. location of dense clumpy material (inverse)3. dust temperature and/or spectral index (in p.o.s & along l.o.s.)
spectrum falls with (direct) spectrum rises with (inverse)
•B-field orientation changes with depth into cloud, or is unresolved
SOFIA-POL 20072007 July 30University of Chicago
Microwave PolarizationWMAP 3-year polarization results
(Page et al. 2006)
K-band: 23 GHz ~ 13 mm
W-band: 94 GHz ~ 3.2 mm
Infer CMB based on spectral dependence of known components
want to know dust pol’n at long wavelengths
3mm10mm
Bennett et al. 2003
SOFIA-POL 20072007 July 30University of Chicago
Cloud CoresSchleuning 1998
Orion - KHW
Orion - KL
No
rma
lize
d P
ola
riza
tion
Polarization (%), Flux
(Jy/beam)
28 K
52 K
Testing the Mixture ModelOMC-1
BNKLM42
Trapezium
KHW
pcold/phot
€
P(ν ) = piFi(ν )
Ftot (ν )i
∑
Fi(ν ) = ν β iBν (Ti)
dP
dλ≠ 0 only if p1 ≠ p2 AND
For 2 components:PtotFtot = p1F1 + p2F2
SOFIA-POL 20072007 July 30University of Chicago