Results 91 to 100 of about 420,801 (268)

NUCLEAR ASTROPHYSICS @ GANIL

open access: yesExotic Nuclei, 2013
GANIL is an unique facility where high quality radioactive beams are available at low and in-termediate energies. A presentation is made of the experimental nuclear astrophysics programundertaken at GANIL using these beams.
openaire   +4 more sources

Particle astrophysics [PDF]

open access: yes
The following scientific areas are reviewed: (1) cosmology and particle physics (particle physics and the early universe, dark matter, and other relics); (2) stellar physics and particles (solar neutrinos, supernovae, and unconventional particle physics);
Aprile, Elena   +9 more
core   +1 more source

Mind and Cosmos as Throughput Systems: A Convergence Through the Throughput Model

open access: yesSystems Research and Behavioral Science, EarlyView.
ABSTRACT This paper advances a conceptual and mathematical foundations approach by applying the throughput model (TPM) to cosmic phenomena, reframing the universe as an extended information processing system. TPM's four stages, Perception, Information, Judgement and Decision Choice, are reformulated in explicit information‐theoretic and dynamical ...
Waymond Rodgers
wiley   +1 more source

Light, Gravity and Matter (with emphasis on thermo-gravity waves) [PDF]

open access: yesINCAS Bulletin
What are light, gravity, and regenerating matter? Where do they originate and where do they go? The answers to these questions lie in one of the most powerful equations ever discovered: Euler's formula (i.e., complex analysis).
Horia DUMITRESCU   +2 more
doaj   +1 more source

Dark Matter Astrophysics

open access: yes, 2009
These lectures are intended to provide a brief pedagogical review of dark matter for the newcomer to the subject. We begin with a discussion of the astrophysical evidence for dark matter.
D'Amico, Guido   +2 more
core  

ReMoDe – Recursive modality detection in distributions of ordinal data

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt   +3 more
wiley   +1 more source

Calculating the ionization rate induced by GCR and SCR protons in Earth’s atmosphere

open access: yesSolar-Terrestrial Physics, 2019
This paper explores the applied use of the RUSCOSMICS software package [http://ruscosmics.ru] designed to simulate propagation of primary cosmic ray (CR) particles through Earth’s atmosphere and collect information about characteristics of their ...
Maurchev E.A.   +4 more
doaj   +1 more source

Design Considerations for Visualization Transitions of 3D Spatial Data in Hybrid AR‐Desktop Environments

open access: yesComputer Graphics Forum, EarlyView.
We present design considerations for animated transitions of the appearance of 3D spatial datasets in a hybrid Augmented Reality‐desktop context. Such hybrid interfaces combine both traditional and immersive displays to facilitate the exploration of 2D and 3D data representations in the environment in which they are best displayed.
Yucheng Lu   +6 more
wiley   +1 more source

Alternative Approaches for Estimating Highest‐Density Regions

open access: yesInternational Statistical Review, EarlyView.
Summary Among the variety of statistical intervals, highest‐density regions (HDRs) stand out for their ability to effectively summarise a distribution or sample, unveiling its distinctive and salient features. An HDR represents the minimum size set that satisfies a certain probability coverage, and current methods for their computation require ...
Nina Deliu, Brunero Liseo
wiley   +1 more source

Robust Distance Covariance

open access: yesInternational Statistical Review, EarlyView.
Summary Distance covariance is a popular measure of dependence between random variables. It has some robustness properties, but not all. We prove that the influence function of the usual distance covariance is bounded, but that its breakdown value is zero.
Sarah Leyder   +2 more
wiley   +1 more source

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