Results 71 to 80 of about 4,487 (267)

Explaining the GWSkyNet-Multi Machine Learning Classifier Predictions for Gravitational-wave Events

The Astrophysical Journal
GWSkyNet-Multi is a machine learning model developed for the classification of candidate gravitational-wave events detected by the LIGO and Virgo observatories.
Nayyer Raza, Man Leong Chan, Daryl Haggard, Ashish Mahabal, Jess McIver, Thomas C. Abbott, Eitan Buffaz, Nicholas Vieira   +7 more
doaj   +1 more source

Estimation of the sensitive volume for gravitational-wave source populations using weighted Monte Carlo integration [PDF]

, 2018
V. Tiwari
openalex   +1 more source

Tailoring Thermophysical Properties and Multiscale Machine Learning Modeling of 2D Nanomaterial‐Infused Beeswax as a Green NePCM for Sustainable Thermal Management Systems

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study develops eco‐friendly two‐dimensional nanoparticle‐enhanced phase change materials (2D NePCMs) using biodegradable beeswax infused with rGO, GO, and MXene nanoparticles. Experimental results demonstrated up to 21.9% enhancement in thermal conductivity with minimal latent heat loss, while machine learning models achieved >95% predictive ...
Abdullah Aziz, Shoaib Anwer, Eiyad Abu‐Nada, Anas Alazzam   +3 more
wiley   +1 more source

Examining the Gap in the Chirp Mass Distribution of Binary Black Holes

The Astrophysical Journal
The mass distribution of binary black holes inferred from gravitational-wave measurements is expected to shed light on their formation mechanisms. An emerging structure in the mass distribution indicates the presence of multiple peaks around chirp masses
Vaibhav Tiwari
doaj   +1 more source

Gravitational wave sources: reflections and echoes [PDF]

, 2017
Richard H Price, Gaurav Khanna
openalex   +1 more source

Application of High‐Order Direct Flux Reconstruction and Stiffness‐Resilient Time Integration to Simulations of Idealized Atmospheric Flows

International Journal for Numerical Methods in Fluids, EarlyView.
The proposed work implements a direct flux reconstruction method for spatial discretization and a stiffness‐resilient exponential time integration method for temporal discretization on the cube‐sphere grid. A space‐time tensor formalism is employed to provide a general representation in any curvilinear coordinate system. This combination enables highly
Stéphane Gaudreault, Christopher Subich, Shoyon Panday, Martin Charron, Vincent Magnoux, Valentin Dallerit, Mayya Tokman   +6 more
wiley   +1 more source

Time-Delay Interferometry: The Key Technique in Data Pre-Processing Analysis of Space-Based Gravitational Waves

Universe
Space gravitational wave detection primarily focuses on the rich wave sources corresponding to the millihertz frequency band, which provide key information for studying the fundamental physics of cosmology and astrophysics.
Pan-Pan Wang, Cheng-Gang Shao
doaj   +1 more source

Gravitational wave astronomy of single sources with a pulsar timing array [PDF]

, 2011
Kejia Lee, Norbert Wex, M. Krämer, B. W. Stappers, C. Bassa, G. H. Janssen, R. Karuppusamy, R. Smits   +7 more
openalex   +1 more source

Using weighting algorithms to refine source direction determinations in all-sky gravitational wave burst searches with two-detector networks II: The case of elliptical polarization [PDF]

, 2020
Tom McClain
openalex   +1 more source

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, EarlyView.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source