Philipp Frank
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View article: Latent-space field tension for astrophysical component detection
Latent-space field tension for astrophysical component detection Open
Modern observatories are designed to deliver increasingly detailed views of astrophysical signals. To fully realize the potential of these observations, principled data-analysis methods are required to effectively separate and reconstruct …
View article: Information Field Theory with JAX infers Air Shower Electric Currents from Antenna Signal Traces
Information Field Theory with JAX infers Air Shower Electric Currents from Antenna Signal Traces Open
Direct imaging of cosmic-ray-induced particle showers during daylight is a long-standing challenge in astroparticle physics. A promising avenue for capturing images of these showers is through the radio emissions generated by their electri…
View article: Latent-space Field Tension for Astrophysical Component Detection An application to X-ray imaging
Latent-space Field Tension for Astrophysical Component Detection An application to X-ray imaging Open
Modern observatories are designed to deliver increasingly detailed views of astrophysical signals. To fully realize the potential of these observations, principled data-analysis methods are required to effectively separate and reconstruct …
View article: Spatially coherent 3D distributions of HI and CO in the Milky Way
Spatially coherent 3D distributions of HI and CO in the Milky Way Open
Context. The spatial distribution of the gaseous components of the Milky Way is of great importance for a number of different fields, for example, Galactic structure, star formation, and cosmic rays. However, obtaining distance information…
View article: Towards a Field-Based Bayesian Evidence Inference from Nested Sampling Data
Towards a Field-Based Bayesian Evidence Inference from Nested Sampling Data Open
Nested sampling (NS) is a stochastic method for computing the log-evidence of a Bayesian problem. It relies on stochastic estimates of prior volumes enclosed by likelihood contours, which limits the accuracy of the log-evidence calculation…
View article: fast-resolve: Fast Bayesian radio interferometric imaging
fast-resolve: Fast Bayesian radio interferometric imaging Open
Context. The aim of this paper is to reduce the computational complexity of the Bayesian imaging algorithm resolve , enabling the application of Bayesian imaging for larger datasets. Aims. By combining computational shortcuts of the CLEAN …
View article: Electric Field Reconstruction with Information Field Theory
Electric Field Reconstruction with Information Field Theory Open
Reconstructing the electric field from the measured voltages in an antenna, unfolding the antenna response, comes with several problems. Due to the noisiness of the signal it is often necessary to disregard part of the bandwidth of the ant…
View article: J-UBIK: The JAX-accelerated Universal Bayesian Imaging Kit
J-UBIK: The JAX-accelerated Universal Bayesian Imaging Kit Open
Many advances in astronomy and astrophysics originate from accurate images of the sky emission across multiple wavelengths. This often requires reconstructing spatially and spectrally correlated signals detected from multiple instruments. …
View article: Nonparametric Bayesian reconstruction of Galactic magnetic fields using information field theory
Nonparametric Bayesian reconstruction of Galactic magnetic fields using information field theory Open
Context. Ultrahigh-energy cosmic rays (UHECRs) are charged particles with energies surpassing 10 18 eV. Their sources remain elusive because they are obscured by deflections caused by the Galactic magnetic field (GMF). This challenge is fu…
View article: Disentangling the Faraday rotation sky
Disentangling the Faraday rotation sky Open
Context . Magnetic fields permeate the diffuse interstellar medium (ISM) of the Milky Way, and are essential to explain the dynamical evolution and current shape of the Galaxy. Magnetic fields reveal themselves via their influence on the s…
View article: Towards a Field Based Bayesian Evidence Inference from Nested Sampling Data
Towards a Field Based Bayesian Evidence Inference from Nested Sampling Data Open
Nested sampling (NS) is a stochastic method for computing the log-evidence of a Bayesian problem. It relies on stochastic estimates of prior volumes enclosed by likelihood contours, which limits the accuracy of the log-evidence calculation…
View article: Spatially Coherent 3D Distributions of HI and CO in the Milky Way
Spatially Coherent 3D Distributions of HI and CO in the Milky Way Open
The spatial distribution of the gaseous components of the Milky Way is of great importance for a number of different fields, for example, Galactic structure, star formation, and cosmic rays. However, obtaining distance information to gaseo…
View article: The influence of the 3D Galactic gas structure on cosmic-ray transport and $γ$-ray emission
The influence of the 3D Galactic gas structure on cosmic-ray transport and $γ$-ray emission Open
Cosmic rays (CRs) play a major role in the dynamics of the interstellar medium (ISM). Their interactions and transport ionize, heat, and push the ISM thereby coupling different regions of it. The spatial distribution of CRs depends on the …
View article: Re-Envisioning Numerical Information Field Theory(NIFTy.re): A Library for Gaussian Processes and VariationalInference
Re-Envisioning Numerical Information Field Theory(NIFTy.re): A Library for Gaussian Processes and VariationalInference Open
Imaging is the process of transforming noisy, incomplete data into a space\nthat humans can interpret. NIFTy is a Bayesian framework for imaging and has\nalready successfully been applied to many fields in astrophysics. Previous\ndesign de…
View article: fast-resolve: Fast Bayesian Radio Interferometric Imaging
fast-resolve: Fast Bayesian Radio Interferometric Imaging Open
Context: Interferometric imaging is algorithmically and computationally challenging as there is no unique inversion from the measurement data back to the sky maps, and the datasets can be very large. Many imaging methods already exist, but…
View article: Attention to Entropic Communication
Attention to Entropic Communication Open
The concept of attention has proven to be very relevant in artificial intelligence. Relative entropy (RE, aka Kullback‐Leibler divergence) plays a central role in communication theory. Here, these concepts, attention, and RE are combined. …
View article: Non-parametric Bayesian reconstruction of Galactic magnetic fields using Information Field Theory: The inclusion of line-of-sight information in ultra-high energy cosmic ray backtracking
Non-parametric Bayesian reconstruction of Galactic magnetic fields using Information Field Theory: The inclusion of line-of-sight information in ultra-high energy cosmic ray backtracking Open
(abridged) Ultra-high energy cosmic rays (UHECRs) are extremely energetic charged particles with energies surpassing $10^{18}$ eV. Their sources remain elusive, obscured by deflections caused by the Galactic magnetic field (GMF). This chal…
View article: A parsec-scale Galactic 3D dust map out to 1.25 kpc from the Sun
A parsec-scale Galactic 3D dust map out to 1.25 kpc from the Sun Open
Context. High-resolution 3D maps of interstellar dust are critical for probing the underlying physics shaping the structure of the interstellar medium, and for foreground correction of astrophysical observations affected by dust. Aims. We …
View article: Introducing LensCharm
Introducing LensCharm Open
Strong gravitational lensing, a phenomenon rooted in the principles of general relativity, grants us a unique window into the distant cosmos by offering a direct probe into dark matter and providing independent constraints on the Hubble co…
View article: The first spatio-spectral Bayesian imaging of SN1006 in X-rays
The first spatio-spectral Bayesian imaging of SN1006 in X-rays Open
Supernovae (SNs) are an important source of energy in the interstellar medium. Young remnants of supernovae (SNRs) exhibit peak emission in the X-ray region, making them interesting objects for X-ray observations. In particular, the supern…
View article: Disentangling the Galactic Faraday sky
Disentangling the Galactic Faraday sky Open
Sky maps of Hutschenreuter et al. (2023) See https://arxiv.org/abs/2304.12350. This data set contains the statistical results for 5 different sky models, namely: The integrated LoS component of the Galactic magnetic field, weighted by el…
View article: Inferring Evidence from Nested Sampling Data via Information Field Theory
Inferring Evidence from Nested Sampling Data via Information Field Theory Open
Nested sampling provides an estimate of the evidence of a Bayesian inference problem via probing the likelihood as a function of the enclosed prior volume. However, the lack of precise values of the enclosed prior mass of the samples intro…
View article: Quantum Measurement and Objective Classical Reality
Quantum Measurement and Objective Classical Reality Open
We explore quantum measurement in the context of Everettian unitary quantum mechanics and construct an explicit unitary measurement procedure. We propose the existence of prior correlated states that enable this procedure to work and there…
View article: Multicomponent imaging of the <i>Fermi</i> gamma-ray sky in the spatio-spectral domain
Multicomponent imaging of the <i>Fermi</i> gamma-ray sky in the spatio-spectral domain Open
The gamma-ray sky as seen by the Large Area Telescope (LAT) on board the Fermi satellite is a superposition of emissions from many processes. To study them, a rich toolkit of analysis methods for gamma-ray observations has been developed, …
View article: Quantum Measurement and Objective Classical Reality
Quantum Measurement and Objective Classical Reality Open
We explore quantum measurement in the context of Everettian unitary quantum mechanics and construct an explicit unitary measurement procedure. We propose the existence of prior correlated states that enable this procedure to work and there…
View article: First spatio-spectral Bayesian imaging of SN1006 in X-ray
First spatio-spectral Bayesian imaging of SN1006 in X-ray Open
Supernovae are an important source of energy in the interstellar medium. Young remnants of supernovae have a peak emission in the X-ray region, making them interesting objects for X-ray observations. In particular, the supernova remnant SN…
View article: A parsec-scale Galactic 3D dust map out to 1.25 kpc from the Sun
A parsec-scale Galactic 3D dust map out to 1.25 kpc from the Sun Open
High-resolution 3D maps of interstellar dust are critical for probing the underlying physics shaping the structure of the interstellar medium, and for foreground correction of astrophysical observations affected by dust. We aim to construc…
View article: A Parsec-Scale Galactic 3D Dust Map out to 1.25 kpc from the Sun -- Dataset for the 1.25 kpc 3D Dust Map and the 2 kpc 3D Dust Map
A Parsec-Scale Galactic 3D Dust Map out to 1.25 kpc from the Sun -- Dataset for the 1.25 kpc 3D Dust Map and the 2 kpc 3D Dust Map Open
Accompanying data products for Edenhofer et al. (2023).