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.

Transcript

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
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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)
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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
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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
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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?
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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
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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
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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
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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
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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
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    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
    |
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18. Daniel Lenz, Caltech/JPL New CIB maps
    Modeling dust foregrounds
    Model
    Residual
    Standard
    GLM
    GLM
    Standard
    Lenz+ (2016)
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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
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20. Daniel Lenz, Caltech/JPL New CIB maps
    CIB: Galactic poles
    Total FIR intensity
    CIB
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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
    

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