... the effects of survey selection functions. We outline how to measure field level statistics from future surveys. Data Methods Numerical methods large-scale structure of Universe cosmology: observations Royal Society 10.13039/501100000288 URF\R\231006 STFC 10.13039/501100000271 ST/R000476/1...

... stellar rotation star formation numerical methods NASA 10.13039/100000104 #80NSSC21K0393 Discs of gas and dust surrounding newly formed stars (called ‘protoplanetary’ or ‘planet-forming’ discs) are natural consequences of angular momentum conservation as molecular clouds collapse to form protostars...

... a suitable basis for future development, eventually leading to analysis of data returned by MIXS during the orbital mission. Numerical Methods X-ray Fluorescence X-ray Tube Mercury Imaging X-ray Spectrometer UK Space Agency 10.13039/100011690 ST/X001970/1 E-mail: [email protected] 24 05 2024...

... show excellent agreement with the ground-truth data sets, with percentage errors averaging (0.5 0.1) per cent for the parameters of the scaling laws. Data Methods Numerical Methods Machine Learning Simulations Dark Matter Clusters of Galaxies Ministerio de Ciencia e Innovación 10.13039...

...Grant M Kennedy Numerical methods Software Interferometry Circumstellar discs Royal Society 10.13039/501100000288 Interferometry is a commonly used tool in astronomy. It circumvents problems that arise from the desire to have high angular resolution at a reasonable price point, but at the cost...

... for the interacting particle systems and the PDEs. mean field PDEs bifurcation theory phase transitions spectral numerical methods Nonlinear and nonlocal Fokker–Planck type equations, i.e. McKean–Vlasov equations appear in several applications, including stellar dynamics Binney & Tremaine (2008) , plasma...

... the atomic populations following these transition rates, and iterating this process until convergence. For unpolarized radiation, the workhorse numerical methods of short characteristics (Kunasz & Auer 1988 ) for solving the radiative transfer equation for the radiation field, and a preconditioned...

... through the instrument shielding, do not depend on the settings of the instrument in terms of U, , and . Plasma Instrumentation Energetic particles Noise Numerical methods National Aeronautics and Space Administration 10.13039/100000104 European Society of Anaesthesiology...

... of Universe methods: statistical numerical methods techniques: interferometric European Research Council 10.13039/100010663 948764 STFC 10.13039/501100000271 STFC 10.13039/501100000271 ST/P002293/1 ST/R002371/1 ST/S002502/1 ST/R000832/1 Through measurements of the cosmic microwave...

... information on existing sources of data whether in data bases, theoretical, or literature sources. Data Methods Numerical methods Algorithms Ariel Data needs European Research Council 10.13039/100010663 883830 EP/Y006313/1 UK Research and Innovation 10.13039/100014013 STFC 10.13039...

... simple roots within the original system. regime-switching model hidden Markov model integral equation American option numerical methods where the supremum is taken over the set of stopping times . Here, , where denotes the price of the American put option in Regime . Applying...

.... The emission spectrum is then further extended to axisymmetric particle distributions, where two-dimensional spectral maps can be generated to provide new insight. Numerical Methods Reaction Rate Collision Integral Anisotropic Kinetic Theory Boltzmann Equation STFC 10.13039/501100000271 ST/X508664/1...

..., are detectable by the instrument considering the nominal observation geometry. Numerical Methods Instrumentation Data Methods Plasma Comets SPIS Japan Society for the Promotion of Science 10.13039/501100001691 22F22723 In 2019, Comet Interceptor (Jones et al. 2024 ) was selected by the European Space...

... the approach is applied explicitly to SITELLE data in this study, we argue that it can be readily adapted to any integral field unit style data, enabling the user to obtain more robust measurements on the flux of the emission lines. Machine Learning Numerical Methods Algorithms Automatic Background...

... of the light curve, and we establish minimum values for the number of data points and the amplitude to noise ratio. Machine Learning Numerical Methods Data Methods Algorithms Light curves Variable Stars The input also includes a feature that is derived from an interpolated fit of the time-series with 200...

... cameras get a ‘vote’ in determining the ‘true’ astrophysical signal. This allows for an efficient separation of any astrophysical signal from the systematics, provided that the latter differ sufficiently from camera to camera. Data Methods Numerical Methods Algorithms Techniques: Photometric Abstract...

... particles as light scatters, and the chemical composition of dust particles in the coma of 74 per cent amorphous carbon, 25 per cent of Mg-rich silicates, and 1 per cent of water ice. methods: numerical – methods: observational techniques: photometric techniques: polarimetric techniques: spectroscopic...

.... These results highlight the potential of harmonic as a sampler-agnostic method to estimate the model evidence in both likelihood-based and simulation-based scenarios. Machine Learning Numerical Methods Software Statistics Simulation-based Inference STFC 10.13039/501100000271 ST/W001136/1...

... 3-D electric field. This study illustrates the value of incorporating CSEM into measurement, monitoring and verification strategies for optimal operation of marine CCS sites. Controlled source electromagnetics (CSEM) Electrical resistivity Marine electromagnetics Numerical methods Carbon capture...

..., colatitude, and longitude, respectively. The steady, basic-state, temperature distribution, T₀(r), is given the form (3) $$\begin{eqnarray} T_0( r ) = -\frac{1}{2}b_1 r^2 + \frac{ b_2 }{ r } + b_3 , \end{eqnarray}$$ Software Numerical Methods Dynamo theory Convection Core...