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New efforts to extract CIB maps from Planck

Daniel
July 13, 2017

New efforts to extract CIB maps from Planck

I'm presenting the current state and applications of Planck CIB maps and our efforts to improve these maps.

Daniel

July 13, 2017
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  1. New efforts to extract
    CIB maps from Planck
    in collaboration with O. Doré,
    G. Lagache, P. Serra
    Daniel Lenz
    Advances in Theoretical Cosmology in Light of Data
    July 13
    © 2017 California Institute of Technology. Government sponsorship acknowledged.

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  2. Daniel Lenz, Caltech/JPL New CIB maps
    Before we start…
    ❖ Talk to me about:
    ❖ Galactic HI
    ❖ Observational multiphase ISM
    ❖ CIB/CMB component separation
    ❖ Dust/Reddening
    ❖ HI intensity mapping (simulations)
    ❖ Machine learning, Bayesian models, python, Mac
    OS
    2

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  3. Daniel Lenz, Caltech/JPL New CIB maps
    The Cosmic Infrared Background
    What is the CIB?
    3

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  4. Daniel Lenz, Caltech/JPL New CIB maps
    The Cosmic Infrared Background
    ❖ Made up from
    ❖ Dust in galaxies
    at z=1-3
    ❖ (Re-emitted
    AGN emission)
    Lagache+ (2002)
    4

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  5. Daniel Lenz, Caltech/JPL New CIB maps
    The CIB as cosmological probe
    … of star formation history
    Planck collaboration (2013 XXX)
    ❖ Strong constraints on
    SFH up to z=2.5
    ❖ Probe dust temperature
    across cosmic times
    ❖ Understand star
    formation in DM halos
    5

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  6. Daniel Lenz, Caltech/JPL New CIB maps
    The CIB as cosmological probe
    … of large scale structure to de-lens CMB maps
    Manzotti+ (2017)
    6

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  7. Daniel Lenz, Caltech/JPL New CIB maps
    ❖ Herschel 500 micron as CIB
    template
    ❖ "No lensing" excluded at 7 sigma
    … of large scale structure to de-lens CMB maps
    Manzotti+ (2017)
    The CIB as cosmological probe
    7

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  8. Daniel Lenz, Caltech/JPL New CIB maps
    ❖ CMB lensing and CIB match great
    in z and MHalo
    ❖ Ideal probe of relation between
    dark and luminous matter
    … of large scale structure to
    cross-correlate with lensing
    Planck collaboration (2014 XVIII)
    The CIB as cosmological probe
    8

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  9. Daniel Lenz, Caltech/JPL New CIB maps
    How to obtain CIB maps?
    A. Fit different frequency channels with modified blackbody spectra
    B. Utilize the different angular power spectra of these components
    C. Use template maps of Galactic dust (e.g. HI-based)
    ❖ Galactic thermal dust and CIB dust dominate on large scales at
    ~200 to 1000 GHz
    ❖ How to disentangle them?
    9

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  10. Daniel Lenz, Caltech/JPL New CIB maps
    Correlation of dust and gas
    HI Dust
    ❖ Linear relation to first order, but better model required to get to CIB levels
    10

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  11. Daniel Lenz, Caltech/JPL New CIB maps
    Current CIB maps: Planck (2013 XXX)
    ❖ Limited sky coverage, hard to access large scales
    11

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  12. Daniel Lenz, Caltech/JPL New CIB maps
    Current CIB maps: GNILC
    ❖ Planck collaboration (2016 XLVIII), focus on removing CIB from Galactic
    dust maps
    ❖ Using the angular power spectra of the two components
    ❖ Does not agree that well on a pixel-to-pixel basis
    12

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  13. Daniel Lenz, Caltech/JPL New CIB maps
    Current CIB maps: GNILC
    ❖ Cross correlation with Planck CMB lensing
    ❖ Missing CIB power, especially on the largest scales
    13

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  14. Daniel Lenz, Caltech/JPL New CIB maps
    HI4PI Survey
    ❖ Merges data from Effelsberg and Parkes
    ❖ Replaces LAB as state-of-the-art full-sky HI survey
    ❖ Higher sensitivity & resolution, fewer systematics, full sampling
    20
    21
    22
    log(NHI
    [cm 2])
    180
    135 90
    45
    0
    315
    270
    225 180
    60
    30
    0
    30
    60
    HI4PI collaboration

    (2017)
    14
    Next week:

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  15. Daniel Lenz, Caltech/JPL New CIB maps
    Modeling dust foregrounds

    • Velocity separation difficult for
    complex structures and large scales
    15
    Radial Velocity
    HVC
    IVC
    LVC
    I = ✏HVC NHVC + ✏IVC NIVC + ✏LVC NLVC

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  16. Daniel Lenz, Caltech/JPL New CIB maps
    Modeling dust foregrounds
    • Generalised linear model (GLM)

    Radial Velocity
    I =
    X
    i
    ✏iTi
    B
    16

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  17. Daniel Lenz, Caltech/JPL New CIB maps
    Modeling dust foregrounds
    • Generalised linear model (GLM)

    • Regularised:

    • Accounts for all features along
    line of sight
    I =
    X
    i
    ✏iTi
    B
    Radial Velocity
    |
    Datai Modeli
    |2
    +
    ↵ · |✏i
    |
    17

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  18. Daniel Lenz, Caltech/JPL New CIB maps
    Modeling dust foregrounds
    Model
    Residual
    Standard
    GLM
    GLM
    Standard
    Lenz+ (2016)
    18

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  19. Daniel Lenz, Caltech/JPL New CIB maps
    CIB: Access large scales
    ❖ Sliding window is moved across the sky
    ❖ Model is evaluated for each position, yields map of parameters and
    CIB values
    19

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  20. Daniel Lenz, Caltech/JPL New CIB maps
    CIB: Galactic poles
    Total FIR intensity
    CIB
    20

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  21. Daniel Lenz, Caltech/JPL New CIB maps
    Thank you!
    ❖ Talk to me about:
    ❖ Galactic HI
    ❖ Observational multiphase ISM
    ❖ CIB/CMB component separation
    ❖ Dust/Reddening
    ❖ HI intensity mapping (simulations!)
    ❖ Machine learning, Bayesian models, python, Mac
    OS
    21

    View full-size slide