A5052762275- Geophysics and Gravity Measurements
- Cosmology and Gravitation Theories
- Radio Astronomy Observations and Technology
- Galaxies: Formation, Evolution, Phenomena
- Solar and Space Plasma Dynamics
- Adaptive optics and wavefront sensing
- Image and Signal Denoising Methods
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Advanced Data Compression Techniques
- Pulsars and Gravitational Waves Research
- Underwater Acoustics Research
- Astronomy and Astrophysical Research
- Quantum Chromodynamics and Particle Interactions
- Computational Physics and Python Applications
- Particle physics theoretical and experimental studies
- Image Processing Techniques and Applications
- Medical Image Segmentation Techniques
- High-Energy Particle Collisions Research
University of Geneva
2023-2024
Flatiron Institute
2024
Flatiron Health (United States)
2024
University of Bonn
2017
Abstract The tightest constraints on the tensor-to-scalar ratio r can only be obtained after removing a substantial fraction of lensing B -mode sample variance. planned Cosmic Microwave Background (CMB)-S4 experiment ( cmb-s4.org ) will remove signal internally by reconstructing gravitational lenses from high-resolution observations. We document here first reconstruction pipeline able to achieve this optimally for arbitrary sky coverage. make it part map-based framework test CMB-S4 delensing...
Abstract PICO is a concept for NASA probe-scale mission aiming to detect or constrain the tensor scalar ratio r , parameter that quantifies amplitude of inflationary gravity waves. We carry out map-based component separation on simulations with five foreground models and input values in = 0 0.003. forecast determinations using Gaussian likelihood assuming either no delensing residual lensing factor A lens 27%. By implementing first full-sky, post component-separation, map-domain delensing,...
Deep cosmic microwave background polarization experiments allow a very precise internal reconstruction of the gravitational lensing signal in principle. For this aim, likelihood-based or Bayesian methods are typically necessary, where large numbers and delensing remappings on sphere sometimes required before satisfactory convergence. We discuss here an optimized piece numerical code some detail that is able to efficiently perform both operation its adjoint (closely related delensing)...
We compare multiple foreground-cleaning pipelines for estimating the tensor-to-scalar ratio, $r$, using simulated maps of planned CMB-S4 experiment within context South Pole Deep Patch. To evaluate robustness, we analyze bias and uncertainty on $r$ across various foreground suites map-based simulations. The methods include: a parametric maximum likelihood approach applied to auto- cross-power spectra between frequency maps; maximum-likelihood method; harmonic-space internal linear...
This Snowmass 2021 White Paper describes the Cosmic Microwave Background Stage 4 project CMB-S4, which is designed to cross critical thresholds in our understanding of origin and evolution Universe, from highest energies at dawn time through growth structure present day. We provide an overview science case, technical design, plan.
ABSTRACT We present cunuSHT, a general-purpose Python package that wraps highly efficient CUDA implementation of the non-uniform spin-0 spherical harmonic transform. The method is applicable to arbitrary pixelization schemes, including schemes constructed from equally spaced iso-latitude rings as well completely ones. algorithm has an asymptotic scaling $\mathcal {O}{(\ell _{\rm max}^3)}$ for maximum multipole $\ell max}$ and can be made achieve machine precision accuracy, considering...
SCYNet (SUSY Calculating Yield Net) is a tool for testing supersymmetric models against LHC data. It uses neural network regression fast evaluation of the profile likelihood ratio. Two approaches have been developed: one has trained using parameters 11-dimensional phenomenological Minimal Supersymmetric Standard Model (pMSSM-11) as an input and evaluates corresponding ratio within milliseconds. can thus be used in global pMSSM-11 fits without time penalty. In second approach,...
Deep cosmic microwave background polarization experiments allow a very precise internal reconstruction of the gravitational lensing signal in pricinple. For this aim, likelihood-based or Bayesian methods are typically necessary, where large numbers and delensing remappings on sphere sometimes required before satisfactory convergence. We discuss here an optimized piece numerical code some detail that is able to efficiently perform both operation its adjoint (closely related delensing)...
We present $\texttt{cunusht}$, a general-purpose Python package that wraps highly efficient CUDA implementation of the nonuniform spin-$0$ spherical harmonic transform. The method is applicable to arbitrary pixelization schemes, including schemes constructed from equally-spaced iso-latitude rings as well completely ones. algorithm has an asymptotic scaling $\mathrm{O}{(\ell_{\rm max}^3)}$ for maximum multipole $\ell_{\rm max}$ and achieves machine precision accuracy. While $\texttt{cunusht}$...
The gravitational lensing signal from the Cosmic Microwave Background is highly valuable to constrain growth of structures in Universe a clean and robust manner over wide range redshifts. One theoretical systematics for reconstruction impact field non-Gaussianities on its estimators. Non-linear matter clustering post-Born corrections are known bias standard quadratic estimators some extent, most significantly so temperature. In this work, we explore non-Gaussian deflections Maximum...
PICO is a concept for NASA probe-scale mission aiming to detect or constrain the tensor scalar ratio $r$, parameter that quantifies amplitude of inflationary gravity waves. We carry out map-based component separation on simulations with five foreground models and input $r$ values $r_{in}=0$ $r_{in} = 0.003$. forecast determinations using Gaussian likelihood assuming either no delensing residual lensing factor $A_{\rm lens}$ 27%. By implementing first full-sky, post component-separation,...
The tightest constraints on the tensor-to-scalar ratio $r$ can only be obtained after removing a substantial fraction of lensing $B$-mode sample variance. planned CMB-S4 experiment will remove signal internally by reconstructing gravitational lenses from high-resolution observations. We document here first reconstruction pipeline able to achieve this optimally for arbitrary sky coverage. make it part map-based framework test delensing performance and its constraining power $r$, including...