Testing for spectral index variations in polarised CMB foregrounds

Kavli Affiliate: George Efstathiou | First 5 Authors: Roger de Belsunce, Steven Gratton, George Efstathiou, , | Summary: We present a Bayesian parametric component separation method for polarised microwave sky maps. We solve jointly for the primary cosmic microwave background (CMB) signal and the main Galactic polarised foreground components. For the latter, we consider electron-synchrotron […]


Continue.. Testing for spectral index variations in polarised CMB foregrounds

Improved Constraints on Cosmic Birefringence from the WMAP and Planck Cosmic Microwave Background Polarization Data

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Johannes R. Eskilt, Eiichiro Komatsu, , , | Summary: The observed pattern of linear polarization of the cosmic microwave background (CMB) photons is a sensitive probe of physics violating parity symmetry under inversion of spatial coordinates. A new parity-violating interaction might have rotated the plane of linear […]


Continue.. Improved Constraints on Cosmic Birefringence from the WMAP and Planck Cosmic Microwave Background Polarization Data

Improved Constraints on Cosmic Birefringence from the WMAP and Planck Cosmic Microwave Background Polarization Data

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Johannes R. Eskilt, Eiichiro Komatsu, , , | Summary: The observed pattern of linear polarization of the cosmic microwave background (CMB) photons is a sensitive probe of physics violating parity symmetry under inversion of spatial coordinates. A new parity-violating interaction might have rotated the plane of linear […]


Continue.. Improved Constraints on Cosmic Birefringence from the WMAP and Planck Cosmic Microwave Background Polarization Data

A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions

Kavli Affiliate: Jing Wang | First 5 Authors: Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P Fisher-Hoch, Joseph B Mccormick | Summary: Multiple chronic conditions (MCC) are one of the biggest challenges of modern times. The evolution of MCC follows a complex stochastic process that is influenced by a variety of risk factors, […]


Continue.. A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions

On odd number of fermion zero modes on solitons in quantum field theory and string/M theory

Kavli Affiliate: Yuji Tachikawa | First 5 Authors: Yotaro Sato, Yuji Tachikawa, Taizan Watari, , | Summary: We argue that having an odd number of Majorana fermion zero modes on a dynamical point-like soliton signifies an inconsistency in a theory with 3+1 and higher dimensions. We check this statement in a couple of examples in […]


Continue.. On odd number of fermion zero modes on solitons in quantum field theory and string/M theory

Large deviation principle for stochastic heat equation with general rough noise

Kavli Affiliate: Ran Wang | First 5 Authors: Ruinan Li, Ran Wang, Beibei Zhang, , | Summary: We study Freidlin-Wentzell’s large deviation principle for one dimensional nonlinear stochastic heat equation driven by a Gaussian noise: $$frac{partial u^varepsilon(t,x)}{partial t} = frac{partial^2 u^varepsilon(t,x)}{partial x^2}+sqrt{varepsilon} sigma(t, x, u^varepsilon(t,x))dot{W}(t,x),quad t> 0,, xinmathbb{R},$$ where $dot W$ is white in time […]


Continue.. Large deviation principle for stochastic heat equation with general rough noise

A large deviation principle for the stochastic heat equation with general rough noise

Kavli Affiliate: Ran Wang | First 5 Authors: Ruinan Li, Ran Wang, Beibei Zhang, , | Summary: We study Freidlin-Wentzell’s large deviation principle for one dimensional nonlinear stochastic heat equation driven by a Gaussian noise: $$frac{partial u^varepsilon(t,x)}{partial t} = frac{partial^2 u^varepsilon(t,x)}{partial x^2}+sqrt{varepsilon} sigma(t, x, u^varepsilon(t,x))dot{W}(t,x),quad t> 0,, xinmathbb{R},$$ where $dot W$ is white in time […]


Continue.. A large deviation principle for the stochastic heat equation with general rough noise

High-Precision Redshifts for Type Ia Supernovae with the Nancy Grace Roman Space Telescope P127 Prism

Kavli Affiliate: Richard Kessler | First 5 Authors: Bhavin A. Joshi, Louis-Gregory Strolger, Russell E. Ryan, Jr., Alexei V. Filippenko, Rebekah Hounsell | Summary: We present results from simulating slitless spectroscopic observations with the Nancy Grace Roman Space Telescope’s (Roman) Wide-Field Instrument (WFI) P127 prism spanning 0.75 $mu m$ to 1.8 $mu m$. We quantify […]


Continue.. High-Precision Redshifts for Type Ia Supernovae with the Nancy Grace Roman Space Telescope P127 Prism

High-Precision Redshifts for Type Ia Supernovae with the Nancy Grace Roman Space Telescope P127 Prism

Kavli Affiliate: Richard Kessler | First 5 Authors: Bhavin A. Joshi, Louis-Gregory Strolger, Russell E. Ryan, Jr., Alexei V. Filippenko, Rebekah Hounsell | Summary: We present results from simulating slitless spectroscopic observations with the Nancy Grace Roman Space Telescope’s (Roman) Wide-Field Instrument (WFI) P127 prism spanning 0.75 $mu m$ to 1.8 $mu m$. We quantify […]


Continue.. High-Precision Redshifts for Type Ia Supernovae with the Nancy Grace Roman Space Telescope P127 Prism

Removing the fat from your posterior samples with margarine

Kavli Affiliate: George Efstathiou | First 5 Authors: Harry T. J. Bevins, William J. Handley, Pablo Lemos, Peter H. Sims, Eloy de Lera Acedo | Summary: Bayesian workflows often require the introduction of nuisance parameters, yet for core science modelling one needs access to a marginal posterior density. In this work we use masked autoregressive […]


Continue.. Removing the fat from your posterior samples with margarine