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Mapping radioactive contamination using aerial survey measurements is an area under active investigation today. The radiometric aerial survey technique has been extensively applied following reactor accidents and also would provide a key…

Data Analysis, Statistics and Probability · Physics 2020-01-13 Laurel E. Sinclair , Richard Fortin

The Sliced Gromov-Wasserstein (SGW) distance, aiming to relieve the computational cost of solving a non-convex quadratic program that is the Gromov-Wasserstein distance, utilizes projecting directions sampled uniformly from unit…

Machine Learning · Statistics 2025-07-18 Dhruv Sarkar , Aprameyo Chakrabartty , Anish Chakrabarty , Swagatam Das

Global Positioning System (GPS) satellites broadcast at frequencies of 1,575.42 MHz (L1) and of 1,227.60 MHz (L2). The dispersive property of the ionosphere can be used to combine independent measurements at the two frequencies to estimate…

Astrophysics · Physics 2007-05-23 E. Ros , J. M. Marcaide , J. C. Guirado , E. Sardon , I. I. Shapiro

We retrieved the total content of the atmospheric water vapor (or Integrated Water Vapor, IWV) from extensive sets of photometric data obtained since 1995 at Lindenberg Meteorological Observatory with star and sun photometers. Different…

The geographically weighted regression (GWR) is a well-known statistical approach to explore spatial non-stationarity of the regression relationship in spatial data analysis. In this paper, we discuss a Bayesian recourse of GWR. Bayesian…

Applications · Statistics 2020-07-07 Zhihua Ma , Yishu Xue , Guanyu Hu

A simple method has been proposed to determine acoustic-gravity wave (AGW) properties at mesosphere heights from measurements of VLF radio signals. For relatively short paths (less than $\sim$ 2000 km long), simple relations are obtained…

Atmospheric and Oceanic Physics · Physics 2020-11-11 A. K. Fedorenko , E. I. Kryuchkov , O. K. Cheremnykh , A. D. Voitsekhovska , Yu. O. Klymenko

Retrieval of rain from Passive Microwave radiometers data has been a challenge ever since the launch of the first Defense Meteorological Satellite Program in the late 70s. Enormous progress has been made since the launch of the Tropical…

Machine Learning · Computer Science 2023-03-03 Nicolas Viltard , Vibolroth Sambath , Pierre Lepetit , Audrey Martini , Laurent Barthès , Cécile Mallet

The Gromov-Wasserstein (GW) distance has gained increasing interest in the machine learning community in recent years, as it allows for the comparison of measures in different metric spaces. To overcome the limitations imposed by the equal…

Machine Learning · Computer Science 2025-03-28 Yikun Bai , Rocio Diaz Martin , Abihith Kothapalli , Hengrong Du , Xinran Liu , Soheil Kolouri

The work contains the description of two narrow IR-bands observational data of total lunar eclipse of March, 3, 2007, one- and two-dimensional procedures of radiative transfer equation solution. The results of the procedure are the…

Atmospheric and Oceanic Physics · Physics 2009-11-13 Oleg S. Ugolnikov , Igor A. Maslov

The sky-averaged (global) highly redshifted 21-cm spectrum from neutral hydrogen is expected to appear in the VHF range of $\sim20-200$ MHz and its spectral shape and strength are determined by the heating properties of the first stars and…

Instrumentation and Methods for Astrophysics · Physics 2018-10-24 Keith Tauscher , David Rapetti , Jack O. Burns , Eric R. Switzer

This paper is concerned with the form and dynamics of shock-acoustic waves (SAW) generated during rocket launchings. We have developed a method for determining SAW parameters (including angular characteristics of the wave vector, and the…

Geophysics · Physics 2009-11-06 E. L. Afraimovich , E. A. Kosogorov , N. P. Perevalova , A. V. Plotnikov

Path length changes through the atmosphere cause significant errors for astronomical radio interferometry at high frequencies (e.g. 100 GHz). Path length differences typically give rise to a differential excess path of 1mm for antennas…

Astrophysics · Physics 2007-05-23 R. J. Sault , G. J. Carrad , P. J. Hall , J. Crofts

Geographically weighted regression (GWR) is a popular tool for modeling spatial heterogeneity in a regression model. However, the current weighting function used in GWR only considers the geographical distance, while the attribute…

Machine Learning · Computer Science 2023-05-17 Hone-Jay Chu , Po-Hung Chen , Sheng-Mao Chang , Muhammad Zeeshan Ali , Sumriti Ranjan Patra

Pulsar timing-array correlation measurements offer an exciting opportunity to test the nature of gravity in the cosmologically novel nanohertz gravitational wave regime. The stochastic gravitational wave background is assumed Gaussian and…

General Relativity and Quantum Cosmology · Physics 2022-11-23 Reginald Christian Bernardo , Kin-Wang Ng

The ability to quantify information transmission is crucial for the analysis and design of natural and engineered systems. The information transmission rate is the fundamental measure for systems with time-varying signals, yet computing it…

Biological Physics · Physics 2025-09-26 Manuel Reinhardt , Gašper Tkačik , Pieter Rein ten Wolde

In recent years, there has been an increasing research interest in the application of remote sensing technology to highly aerated flows, which is because this technology holds the ultimate promise to enable safe and accurate measurements of…

Fluid Dynamics · Physics 2024-08-19 Matthias Kramer , Daniel B. Bung

The Wasserstein distance and its variations, e.g., the sliced-Wasserstein (SW) distance, have recently drawn attention from the machine learning community. The SW distance, specifically, was shown to have similar properties to the…

Machine Learning · Computer Science 2019-02-04 Soheil Kolouri , Kimia Nadjahi , Umut Simsekli , Roland Badeau , Gustavo K. Rohde

We study the simultaneous decay of global string loops into scalar particles (massless and massive modes) and gravitational waves (GWs). Using field theory simulations in flat space-time of isolated loops with initial length $\sim 80-1700$…

Cosmology and Nongalactic Astrophysics · Physics 2024-12-11 Jorge Baeza-Ballesteros , Edmund J. Copeland , Daniel G. Figueroa , Joanes Lizarraga

In climate science and meteorology, high-resolution local precipitation (rain and snowfall) predictions are limited by the computational costs of simulation-based methods. Statistical downscaling, or super-resolution, is a common workaround…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Prakhar Srivastava , Ruihan Yang , Gavin Kerrigan , Gideon Dresdner , Jeremy McGibbon , Christopher Bretherton , Stephan Mandt

The global positioning system (GPS) has become an indispensable navigation method for field operations with unmanned surface vehicles (USVs) in marine environments. However, GPS may not always be available outdoors because it is vulnerable…