Lecture 2: CMB data
Larissa Santos University of Science and Technology of China, USTC 05/06/2015
Lecture 2: CMB data Larissa Santos University of Science and - - PowerPoint PPT Presentation
Lecture 2: CMB data Larissa Santos University of Science and Technology of China, USTC 05/06/2015 Outline The Interactive Data Languague Hierarchical Equal Area isoLatitude Pixelation Planck maps Foregrounds Masks Code
Larissa Santos University of Science and Technology of China, USTC 05/06/2015
SPT BOOMERANG Planck WMAP COBE
system distributed bu Exelis Visual Information Solution, inc
http://www.exelisvis.com/ProductsServices/IDL.aspx
Macintosh versions
analysis
Pixelation
which each pixel covers the same surface area as every other pixel
base pixels
level
Gorski et al. (2005)
the grid
partitioned, respectively, into 12, 48, 192 and 768 pixels (Nside = 1, 2, 4 and 8)
the ~N scaling for the non-iso-latitude sampling distributions
moving down from the north to the south pole along each iso- latitude ring.
indices in twelve tree structures, corresponding to base-resolution pixels
launched on May14th of 2009
(LFI) covers 3 frequency bands
(HFI) detectors cover 6 frequency bands
857GHz
format most widely used within astronomy for transporting, analyzing and archiving scientific data files
http://pla.esac.esa.int/pla/
write_fits_map, write_tqu
ud_grade
map_ilc= "COM_CompMap_CMB-smica_2048_R1.20.fits"
ud_grade, smica, a1, nside_out=8, order_in='nested', order_out='ring'
galaxy or other galaxies must be measured accurately, so as to separate out this light from the CMB signal
emission of relativistic electrons gyrating in a magnetic field
electrons when deflected by massive ions
10 30 100 300 1000
Frequency (GHz)
10
10 10
1
10
2
Rms brightness temperature (µKRJ)
C M B T h e r m a l d u s t Free-free S y n c h r
r
30 44 70 100 143 217 353 545 857 Spinning dust
CO 1-0
Sum fg
mostly made of graphites, silicates and polycyclic aromatic hydrocarbons (PAHs)
PAH particles spinning with dipole moment
carbon monoxide
can emit in the radio-millimetric domain
Anisotropies of the CMB and of the cosmic infrared background Free-free (Gum nebula) Galatic dust
100 GHz 857 GHz 353 GHz 143 GHz 545 GHz 217 GHz
Planck collaboration, arXiv: 1101.2048
Synchrotron emission at 23 GHz estimated in the WMAP 9-year analysis Thermal dust emission map at 353 GHz estimated by Planck experiment
α
Free-free (Dickinson et al., 2003; Finkbeiner, 2003)
Estimate map for spinning dust in the WMAP K band First estimate map for CO line emission by Planck
full sky (solid line) and after masking the Galactic plane (dotted line)
for high frequency maps as expected since the Galactic signal is larger
Noise Power Spectra in the HFI Sky Maps
emission processes which dominate on large angular scales
emission in order to achieve the most precise CMB maps and cosmological information
foregrounds only for CMB studies!!!
CMB from diffuse foreground emission
multifrequency data to minimize the variance of the CMB component
foreground is constructed and the CMB component is obtained by sampling from the posterior distribution of parameters
m=−l m=l
l=2 lmax
Ylm θ,φ
λlm x
( ) =
2l +1 4π l − m
( )!
l + m
( )!P
lm x
( )
λlm x
( ) = −1 ( )
m λl m
λlm x
( ) = 0
m ⩾ m<0 m=0
θ ∈ 0,π
[ ]
φ ∈ 0,2π
[
)
m=0 m=1,-1 m=2,-2
L=3
m=0 m=1,-1 m=2,-2 m=3,-3
harmonic analysis of the HEALPix maps up to a specified maximum spherical harmonic order lmax
the map and produces a file containing the temperature power spectrum and, if requested, also the polarization power spectra
during the execution also can be written to a file if requested
create HEALPix maps
polarization
beam and random seed for the simulation can be selected by the user
completely free of foregrounds
maps
different sky cuts and 1 polarization mask
fsky = 83.65 fsky = 78.67 fsky = 74.83
Anisotropies in the Microwave Background
interface: http:// lambda.gsfc.nasa.go v/toolbox/ tb_camb_form.cfm
INPUT OUTPUT
and so on h,h2Ωb,h2Ωc,h2Ωµ,Ωk,w
TRUE UNIV. Known only by Mother Nature Statistically realized
OBSERVABLE UNIV.
Measurements
Measured data
Analysis
Our Univ.
h2Ωb h2Ωc
h2Ωµ Ωk Cosmological model Interpretation What we want!!
that we extract from the data we do NOT have a unique realization
we can generate infinitely realizations
the best fit parameters that we found
the realizations from your model with the measured data.
–Marcelo Gleiser