Information Field Theory. Torsten Enßlin MPI for Astrophysics Ludwig Maximilian University Munich

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Transcription:

Information Field Theory Torsten Enßlin MPI for Astrophysics Ludwig Maximilian University Munich

Information Field Theory signal field: degrees of freedom data set: finite additional information needed information: physical laws, symmetries, continuity, statistical homogeneity/isotropy,... most important: space, time, & fields are continuous combining concrete (data) & abstract (knowledge) information information theory for fields

Information Hamiltonian Theory inference problem as information statistical field theory

IFT Dictionary Translation: field inference problem Dictionary: log joint PDF evidence Wiener variance noise weighted data inference algorithms maximum a Posteriori uncertainty corrections Shannon information = = = = = = statistical field theory negative Hamiltonian partition function Z information propagator information source Feynman diagrams classical solution loop corrections negative entropy

An information field theory is defined over continuous space, But calculations can be performed in sufficiently fine discretized spaces.

Free Theory Gaussian signal & noise, linear response

Free Theory Gaussian signal & noise, linear response

Free filter Theory Wiener theory Gaussian signal noise, linear response known&for 60 years

Reconstruction of Primordial gravitational Potential 3D reconstruction expensive reconstruct slice by slice Signal: potential on sphere of chosen radius Noise: anything else influencing the data Wiener filter: [Yadav & Wandelt 2005, Dorn, Greiner, Enßlin 2015]

Reconstruction of Primordial gravitational Potential

Free Theory Gaussian signal & noise, linear response Interacting Theory non-gaussian signal, noise, or non-linear response use field theory toobox: Feynman diagrams, renormalization, resummation, effective action (=MaxEnt), mean field theory (variational Bayes),...

Interacting Theory non-gaussian signal, noise, or non-linear response

Wiener filter information propagator information source (data) non-linear filtering by combining Wiener filter uncertainty loop correction

Primordial non-gaussianity measurement

signal field: electron density mock signal from known power spectrum

data = integrated signal

information source

reconstruction

Greiner, Schnitzler, Enßlin (2016)

NIFTY - Numerical Information Field Theory Selig et al. (arxiv:1301.4499) Code & Docu @ http://www.mpa-garching.mpg.de/ift/nifty/ pip pip install install ift_nifty ift_nifty

Faraday Sky Faraday depth:

Faraday Sky Taylor et al. (2009) Faraday depth:

Faraday Sky Oppermann et al. (2012) Faraday depth:

Faraday Sky Oppermann et al. (2012) Faraday depth:

Faraday Sky Oppermann et al. (2012) Faraday depth:

LOFAR Extended VLA Extended VLA SKA ALMA APERTIF Meerkat ASKAP

Radio Interferometry Visibilities Correlated voltages of two Antennas Visibilities Interferometer baseline coordinates Fourier domain of the sky Sky Brightness Flat sky coordinates

Data model known unknown covariances: unknown known response known

Data model known unknown covariances: unknown known response known

Radio Interferometry Junklewitz et al. (arxiv:1311.5282) low noise, 40% uv-coverage

Radio Interferometry Junklewitz et al. (arxiv:1311.5282) low noise, 40% uv-coverage

Radio Interferometry Junklewitz et al. (arxiv:1311.5282) simulated signal

Radio Interferometry Junklewitz et al. (arxiv:1311.5282) low noise, 40% uv-coverage

Radio Interferometry Junklewitz et al. (arxiv:1311.5282) high noise, 40% uv-coverage

Radio Interferometry Junklewitz et al. (in prep.) low noise, 10% uv-coverage

Abell 2219 @ 8415 MHz data by Valentina Vacca

Abell 2219 @ 8415 MHz CLEAN map by Valentina Vacca

Abell 2219 @ 8415 MHz fast-resolve map by Maksim Greiner

Abell 2219 @ 8415 MHz fast-resolve uncertainty map by Maksim Greiner

Denoising, Deconvolving, and Decomposing Photon Observations Selig et al. (2014) www.mpa-garching.mpg.de/ift/d3po / \ (oo ) \=/ / \ // /o\ \\ // \ / \ / (' \ / ') [] [] /_] [_\

3 D PO challenges & assumptions Selig & Enßlin (2014) arxiv: 1311.1888 signal fields diffuse point-like superposition photon flux instrument response functions photon counts Poissonian shot noise data

3 D PO challenges & assumptions log-normal Selig & Enßlin (2014) arxiv: 1311.1888 power spectrum diffuse point-like photon flux photon counts data likelihood

3 D PO challenges & assumptions Selig & Enßlin (2014) arxiv: 1311.1888 1+2+2 model parameters smoothness prior log-normal independent inverse-gamma power spectrum diffuse point-like photon flux photon counts data likelihood

3 D PO challenges & assumptions Selig & Enßlin (2014) arxiv: 1311.1888 1+2+2 model parameters smoothness prior log-normal independent inverse-gamma power spectrum diffuse point-like photon flux photon counts data likelihood

3 D PO challenges & assumptions Selig & Enßlin (2014) arxiv: 1311.1888

3 D PO 1D scenario

D3PO a guided demo The Response operator

D3PO a guided demo raw input data D1PO denoised observations

D3PO a guided demo demasked flux D2PO denoised observations

D3PO a guided demo demasked flux D2PO deconvolved flux

D3PO a guided demo reconvolved point sources D2PO deconvolved flux

D3PO a guided demo reconvolved point sources D3PO diffuse flux

γ-ray sky

photon data relative residuals diffuse flux relative difference point-liketoflux Fermi map

γ-ray sky

energy

log-data denoised deconvolved decomposed

log-data denoised deconvolved decomposed

log-data denoised deconvolved decomposed

log-data denoised deconvolved decomposed

log-data denoised deconvolved decomposed

Selig, Vacca, Oppermann, Enßlin (2015) log-data denoised deconvolved decomposed

First D³PO Fermi Point Source Candidates Catalog (1DF) catalog with 3106 candidates, 1897 of them known in 3FGL

Diffuse gamma-ray sky

Diffuse gamma-ray sky bulge -like bubble -like cloud -like

Spectra of diffuse components mix of hadronic + leptonic? hadronic? π0 decay Inverse Compton leptonic? Inverse Compton

diffuse flux superposition cloud -like bubble -like

cloud -like

Planck dust map

cloud -like = cold/dense ISM

bubble-like Photon spectral index: 2.4 Inverse Compton?

Panck-haze @ 30GHz (Planck 2013) Photon spectral index: 2.56 Synchrotron?

bubble-like

Planck 2013 low frequency component Free-free and synchrotron emission tracing hot ISM

buble -like = hot/dilute ISM

Conclusions Information field theory is information theory for fields Methods from QFT/SFT can be used Nummerical IFT in coordinate free way via NIFTy Applications so far: radio interferometry, galactic tomography, Faraday studies, CMB studies, cosmography, gamma ray imaging, gravitational wave signal classification, simulation scheme construction,... Gamma ray sky: morphological & spectral decomposition most diffuse galactic emission from hot & cold ISM phases

Online resources Online material (info/codes/docu/data/maps): IFT: www.mpa-garching.mpg.de/ift NIFTy: www.mpa-garching.mpg.de/ift/nifty D³PO: www.mpa-garching.mpg.de/ift/d3po Data: www.mpa-garching.mpg.de/ift/fermi

Thank you! www.mpa-garching.mpg.de/ift