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Several neutrino observatories have searched for coincident neutrino signals associated with gravitational waves induced by the merging of two black holes.No statistically significant neutrino signal in excess of background level was…

High Energy Astrophysical Phenomena · Physics 2018-11-07 Yu-Zi Yang , Jia-Jie Ling , Wei Wang , Zhao-Kan Cheng

We search for lost bodies of water in the cities of Manila, Tacloban, Iloilo, Cebu, Davao, and Naga by aligning their digitized Spanish-era and American-era maps to Google maps. These vanished ancient waterways can either become flooding…

Computers and Society · Computer Science 2018-12-17 K. G. Jubilo , M. R. Algodon , E. M. Torres , Z. D. Abraham , A. Ide-Ektessabi , M. Soriano

Electricity is traded on various markets with different time horizons and regulations. Short-term intraday trading becomes increasingly important due to the higher penetration of renewables. In Germany, the intraday electricity price…

Machine Learning · Computer Science 2023-03-13 Eike Cramer , Dirk Witthaut , Alexander Mitsos , Manuel Dahmen

According to the formulation of the charged large $D$ membrane paradigm, an arbitrary dynamic black hole solution to a theory of gravity with a $U(1)$ gauge field is dual to the dynamics of a membrane in a non-gravitational background. This…

High Energy Physics - Theory · Physics 2026-05-18 Supratim Halder , Manu Kurian , Mangesh Mandlik

Neural posterior estimation methods based on discrete normalizing flows have become established tools for simulation-based inference (SBI), but scaling them to high-dimensional problems can be challenging. Building on recent advances in…

Machine Learning · Computer Science 2023-10-30 Maximilian Dax , Jonas Wildberger , Simon Buchholz , Stephen R. Green , Jakob H. Macke , Bernhard Schölkopf

Systems coupled to multiple thermodynamic reservoirs can exhibit nonequilibrium dynamics, breaking detailed balance to generate currents. To power these currents, the entropy of the reservoirs increases. The rate of entropy production, or…

Statistical Mechanics · Physics 2019-04-16 Junang Li , Jordan M. Horowitz , Todd R. Gingrich , Nikta Fakhri

Accurate forecasting of river water levels is vital for effectively managing traffic flow and mitigating the risks associated with natural disasters. This task presents challenges due to the intricate factors influencing the flow of a…

Machine Learning · Computer Science 2025-10-21 Sungchul Hong , Yunjin Choi , Jong-June Jeon

Monitoring continental precipitation over Europe with high resolution (2 km, 15 minutes) has been possible since the operational production of the OPERA composites from the European weather radar networks. The OPERA data are the essential…

Atmospheric and Oceanic Physics · Physics 2019-04-08 Shinju Park , Marc Berenguer , Daniel Sempere-Torres

Deeply supercooled water exhibits complex dynamics with large density fluctuations, ice coarsening and characteristic time scales extending from picoseconds to milliseconds. Here, we discuss implications of these time scales as they pertain…

Statistical Mechanics · Physics 2015-10-28 David T. Limmer , David Chandler

We consider the day-night asymmetries predicted by MSW solutions of the solar neutrino problem. The integration over the neutrino energy, as well as over the production region or over the time intervals of more than a day leads to the…

High Energy Physics - Phenomenology · Physics 2007-05-23 Amol S. Dighe , Q. Y. Liu , Alexei Yu. Smirnov

Vacuum Einstein equations when projected on to a black hole horizon is analogous to the dynamics of fluids. In this work we address the question, whether certain properties of semi-classical black holes could be holographically mapped into…

High Energy Physics - Theory · Physics 2014-12-01 Swastik Bhattacharya , S. Shankaranarayanan

In this paper, a comparative study was conducted between complex networks representing origin and destination survey data. Similarities were found between the characteristics of the networks of Brazilian cities with networks of foreign…

Social and Information Networks · Computer Science 2017-03-31 Charles Marques , Carlos Caminha , Vasco Furtado

Recent work demonstrated that flow-based invertible neural networks are promising tools for solving ambiguous inverse problems. Following up on this, we investigate how ten invertible architectures and related models fare on two intuitive,…

Machine Learning · Computer Science 2021-06-23 Jakob Kruse , Lynton Ardizzone , Carsten Rother , Ullrich Köthe

The existence of the mirror world, with the same microphysics as our own one but with opposite P-asymmetry, not only restores an exact equivalence between left and right but also naturally explains, via a see-saw like mechanism, why the…

High Energy Physics - Phenomenology · Physics 2008-12-18 Z. K. Silagadze

We study the regularity of the Green currents and of the equilibrium measure associated to a horizontal-like map in C^k, under a natural assumption on the dynamical degrees. We estimate the speed of convergence towards the Green currents,…

Dynamical Systems · Mathematics 2008-09-06 T. -C. Dinh , V. -A. Nguyen , N. Sibony

Elliptic flow, $v_2$, and triangular flow, $v_3$, are to a good approximation linearly proportional to the corresponding spatial anisotropies of the initial density profile, $\varepsilon_2$ and $\varepsilon_3$. Using event-by-event…

Nuclear Theory · Physics 2017-05-25 Giuliano Giacalone , Jacquelyn Noronha-Hostler , Jean-Yves Ollitrault

Urban rivers provide a water environment that influences residential living. River surface monitoring has become crucial for making decisions about where to prioritize cleaning and when to automatically start the cleaning treatment. We…

Computer Vision and Pattern Recognition · Computer Science 2022-09-23 Takato Yasuno , Junichiro Fujii , Masazumi Amakata

Two systems are homometric if they are indistinguishable by diffraction. We first make a distinction between Bragg and diffuse scattering homometry, and show that in the last case, coherent diffraction can allow the diffraction diagrams to…

Materials Science · Physics 2013-09-30 Sylvain Ravy

We have used the Kolmogorov complexities, sample and permutation entropies to quantify the randomness degree in river flow time series of two mountain rivers in Bosnia and Herzegovina, representing the turbulent environmental fluid, for the…

Chaotic Dynamics · Physics 2015-06-12 Dragutin T. Mihailovic , Emilija Nikolic-Djoric , Nusret Dreskovic , Gordan Mimic

Fluxes of the diffuse supernova neutrino background (DSNB) are calculated based on a new modeling of galactic chemical evolution, where a variable stellar initial mass function (IMF) depending on the galaxy type is introduced and black hole…

High Energy Astrophysical Phenomena · Physics 2023-08-16 Yosuke Ashida , Ken'ichiro Nakazato , Takuji Tsujimoto