Accurate angular quadratures are crucial for the numerical solution of three-dimensional (3D) radiative transfer problems, especially when including the spectral line polarisation produced by the scattering of anisotropic radiation. There are two requirements for an optimal quadrature that are difficult to satisfy simultaneously: high accuracy and short computing time. Recently, imposing certain symmetries, we have derived a set of near optimal angular quadratures. Here we extend our previous investigation by considering other symmetries. Moreover, we test the performance of our new quadratures by numerically solving a radiative transfer problem of resonance line polarisation in a 3D model of the solar atmosphere resulting from a magneto-hydrodynamical simulation. The new angular quadratures derived here outperform the previous ones in terms of the number of rays needed to achieve any given accuracy.

KEK-KEKB Collider. We present a measurement of angular observables, $P_4'$, $P_5'$, $P_6'$, $P_8'$, in the decay $B^0 \to K^\ast(892)^0 \ell^+ \ell^-$, where $\ell^+\ell^-$ is either $e^+e^-$ or $\mu^+\mu^-$. The analysis is performed on a data sample corresponding to an integrated luminosity of $711~\mathrm{fb}^{-1}$ containing $772\times 10^{6}$ $B\bar B$ pairs, collected at the $\Upsilon(4S)$ resonance with the Belle detector at the asymmetric-energy $e^+e^-$ collider KEKB. Four angular observables, $P_{4,5,6,8}'$ are extracted in five bins of the invariant mass squared of the lepton system, $q^2$. We compare our results for $P_{4,5,6,8}'$ with Standard Model predictions including the $q^2$ region in which the LHCb collaboration reported the so-called $P_5'$ anomaly.

The book Essential Angular : an overview of the key aspects written by two of the Angular core contributors was written by Victor Savkin and published in 2017 by Packt Publishing. It has an ISBN of 1788291042 and is in the eng language. The book is about Application software-Development, AngularJS (Software framework) and has a BNB ID of GBB7E7325.

A BitTorrent file to download data with the title 'Udemy - Angular & NodeJS - The MEAN Stack Guide'

In atomic structure and collision theory, the efficient spin-angular integration is known to be crucial and often decides, how accurate the properties and behavior of atoms can be predicted numerically. Various methods have been developed in the past to keep the computation (and implementation) of the spin-angular integration feasible for complex shell structures, including open d- and f-shell elements. To support such computations, we here provide a new implementation of the angular coefficients for jj-coupled and symmetry-adapted configuration states that is entirely built upon the quasi-spin formalism. The module SpinAngular is based on Julia, a new programming language for scientific computing, and supports a simple access to all (completely) reduced tensors, coefficients of fractional parentage for subshells with j <= 9/2 as well as the re-coupling coefficients from this formalism. Moreover, this module has been worked out for multiple purposes, including 1) the accurate calculation of atomic properties, 2) further studies on spin-angular integration theory, 3) the development of new or existing computer programs as well as 4) the manipulation of reduced matrix elements from this theory. The present implementation will therefore help advance the algebraic evaluation of many-electron (transition) amplitudes and to apply the theory to newly emerging research areas.

At intermediate redshift, galaxy groups/clusters are thought to impact galaxy properties such as their angular momentum. We investigate whether the environment has an impact on the galaxies' stellar angular momentum and identify underlying driving physical mechanisms. We derive robust estimates of the stellar angular momentum using Hubble Space Telescope (HST) images combined with spatially resolved ionised gas kinematics from the Multi-Unit Spectroscopic Explorer (MUSE) for a sample of ~200 galaxies in groups and in the field at z~0.7 drawn from the MAGIC survey. Using various environmental tracers, we study the position of the galaxies in the the angular momentum-stellar mass (Fall) relation as a function of environment. We measure a 0.12dex (2{sigma} significant) depletion of stellar angular momentum for low-mass galaxies (M*<10^10^M_{sun}_) located in groups with respect to the field. Massive galaxies located in dense environments have less angular momentum than expected from the low-mass Fall relation but, without a comparable field sample, we cannot infer whether this effect is mass- or environmentally-driven. Furthermore, these massive galaxies are found in the central parts of the structures and have low systemic velocities. The observed depletion of angular momentum at low stellar mass does not appear linked with the strength of the over-density around the galaxies but it is strongly correlated with (i) the systemic velocity of the galaxies normalised by the dispersion of their host group and (ii) their ionised gas velocity dispersion. Galaxies in groups appear depleted in angular momentum, especially at low stellar mass. Our results suggest that this depletion might be induced by physical mechanisms that scale with the systemic velocity of the galaxies (e.g. stripping or merging) and that such mechanism might be responsible for enhancing the velocity dispersion of the gas as galaxies lose angular momentum.

Model files for: Cope et al, A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee, PLOS Computational Biology (2016)We present a novel neurally based model for estimating angular velocity (AV) in the bee brain, capable of quantitatively reproducing experimental observations of visual odometry and corridor-centering in free-flying honeybees, including previously unaccounted for manipulations of behaviour. The model is fitted using electrophysiological data, and tested using behavioural data. Based on our model we suggest that the AV response can be considered as an evolutionary extension to the optomotor response. The detector is tested behaviourally in silico with the corridor-centering paradigm, where bees navigate down a corridor with gratings (square wave or sinusoidal) on the walls. When combined with an existing flight control algorithm the detector reproduces the invariance of the average flight path to the spatial frequency and contrast of the gratings, including deviations from perfect centering behaviour as found in the real bee’s behaviour. In addition, the summed response of the detector to a unit distance movement along the corridor is constant for a large range of grating spatial frequencies, demonstrating that the detector can be used as a visual odometer.This archive contains the files needed to run the model using the SpineML toolchain.

Supporting data for the published work on "Terahertz orbital angular momentum modes with flexible twisted hollow core antiresonant fiber". The data here reported are all the necessary data to reproduce the figures in the paper both measurements an simulations (except for the analytical results, which are obtained directly from the formulas included in the paper). The Info file describes each file, how they have been obtained and what they have been used for.

This dataset is about: Angular deviation of IODP Site 303-U1308. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.808947 for more information.

We have compiled the well-determined absolute parameters of Algol-type binaries. The lists contain the parameters of 74 detached and 61 semi-detached close binaries. The double-lined eclipsing binaries provide not only the most accurate determinations of stellar mass, radius and temperatures but also distance-independent luminosity for each of their individual components. The distributions of the primary and secondary masses of detached binaries (DBs) are similar, whilst the secondary masses of the semidetached binaries (SDBs) are mostly smaller than 2M_{sun}_ with a peak in the M2-bin (0.21-1.0). The components of the DBs are almost all located in the main-sequence band. On the contrary, the secondary components of the SDBs have larger radii and luminosity with respect to the same mass and the same effective temperature of main-sequence counterparts. They occupy a region of the Hertzsprung-Russell diagram between terminal-age main sequence and giants.

Background

In the web development industry technology changes rapidly. Within the past 7 years, JavaScript frameworks, in particular, have developed and become more popular. In this study, I’d like to examine React, Angular and Vue on a project level, to determine which framework is most widely accepted in the industry.

Sources

Thanks to GitHub.com and The Concept Center for pulling the data and doing a simple research study

358306 Global exporters importers export import shipment records of Angular contact with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Overview This real-world object-centric event log in the OCEL 2.0 standard contains an extraction of the commit information from the GitHub repository used to developed the Angular platform. A single code commit in the repository is abstracted to one event in the log. The dataset contains essential information for each commit, such as the timestamp and the contributor's details. Crucially, commit information is connected to two classes of objects: the file(s) affected by the commit, and the branch(es) in the repository containing the commit. Description GitHub, a popular platform for developers offering the functionalities of the Git versioning system, allows to record single modifications to software projects by contributors; such modifications are grouped in units called commits. Commits contain all details of the edits operated on a group of files in the projects. Therefore, all commits of a project constitute a ledger, that allows to rewind or fast-forward all contributions in the project. Commits in a project are arranged in branches, which form a tree-like structure. A contributor may create a new branch, essentially a copy of the project, in order to commit modifications safely. Once the contributor is satisfied with the edits, they may merge their new branch back into the pre-existing branch (realized by applying the modifications of all the new commits sequentially, and then solving the conflicts that may arise). This log contains an extraction of the commit information of the Angular project on GitHub. The abstraction level is such that every commit corresponds to an event in the log. For each event, the following information is recorded: a unique identifier (hash) the author's timestamp of the commit (includes timezone information) an activity label: the Angular project conforms to the Conventional Commits initiative, which mandates commit messages containing an initial identifier. This helps to reconstruct a clean activity notion. Some of the labels have been cleaned by hand (for instance, in case of typos) the message of the commit the contributor's name the contributor's email (resource) a merge flag; True if the commit is a merge, False otherwise information related to the files edited by the commit (in case of renames, we track the new name) information related to the branches in which the commit appears Files and branches are two distinct object types in this log. Note that a commit might not be associated to any file. Conversely, a commit always appears in at least one branch. This event log has been extracted with the help of PyDriller. Properties This event log has the following properties: Property Value Events 27847 Activity Labels 67 Object Types 2 Objects (files) 35392 Objects (branches) 119 Get started Download the dataset, and position it in the folder of your Python script or console. pip install pm4py To manipulate object-centric logs programmatically, use the functionality of the ocel package in the PM4Py library. Additionally, check out the tool support for object-centric event logs! from pm4py import ocel Acknowledgements We thank the Alexander von Humboldt (AvH) Stiftung for supporting our research.

By using Tsuji's characteristic, we investigate uniqueness of meromorphic functions in an angular domain dealing with the shared set, which is different from the set of the paper (Lin et al., 2006) and obtain a series of results about the unique range set of meromorphic functions in angular domain.

This dataset provides angular corrections of MODIS Multi-Angle Implementation of Atmospheric Correction algorithm (MAIAC) surface reflectances across the ABoVE domain in Alaska and western Canada from 2000 to 2017. Using random forests (RF), a machine-learning approach, the original MAIAC reflectance data were corrected to consistent view and illumination angles (0 degree view zenith angle and 45 degree of sun zenith angle) to reduce artifacts and variability due to angular effects. The original MAIAC data's sub-daily temporal resolution and 1 km spatial resolution with seven land bands (bands 1-7) and five ocean bands (bands 8-12) were preserved. The resulting surface reflectance data are suitable for long-term studies on patterns, processes, and dynamics of surface phenomena. The data cover 11 different Terra and Aqua satellite MODIS MAIAC tiles.

Recent approaches to the study of biological molecules employ manifold learning to single-particle cryo-EM data sets to map the continuum of states of a molecule into a low-dimensional space spanned by eigenvectors or “conformational coordinates”. This is done separately for each projection direction (PD) on an angular grid. One important step in deriving a consolidated map of occupancies, from which the free energy landscape of the molecule can be derived, is to propagate the conformational coordinates from a given choice of “anchor PD” across the entire angular space. Even when one eigenvector dominates, its sign might invert from one PD to the next. The propagation of the second eigenvector is particularly challenging when eigenvalues of the second and third eigenvector are closely matched, leading to occasional inversions in their ranking as we move across the angular grid. In the absence of a computational approach, this propagation across the angular space has been done thus far “by hand” using visual clues, thus greatly limiting the general use of the technique. In this work we have developed a method that is able to solve the propagation problem computationally, by using optical flow and a probabilistic graphical model. We demonstrate its utility by selected examples.

The Global Angular Sensors Market size is projected to grow at a CAGR of 11.5% by 2028. The major factors driving the growth in this market are the increasing adoption of robots for various applications such as healthcare, logistics, manufacturing, and others; rising demand for efficient sensors in automobiles due to growing focus on fuel efficiency and the increasing need for safety; and increased usage of smart home controls devices.

An Angular Sensor is a device that measures the angle and acceleration of an object, such as vehicle wheel speed sensors. Angular sensors are used in consumer electronics, computers, and other devices. Angular Sensors help us to measure the angle of an object with respect to another object or a reference point. Angular Sensor is basically a type of sensor that measures angular displacement which means it can measure how many degrees has something rotated from its initial position.

On the basis of Type, the market is segmented into TMR Sensors, Hall Effect Sensors, Other.

TMR Sensors:

TMR sensors are a type of angular sensor. They detect the orientation by measuring the resistance change due to switching magnetic fields. The TMR (tunneling magnetoresistive) effect is used in sensing applications for robotics, smart homes, and other devices that require accurate motion tracking or object recognition. With high-resolution analog output signals - CMOS technology can be directly applied to multiple different dynamic control systems such as an optical mouse with no additional hardware needed.

Hall Effect Sensors:

Hall Effect Sensors are a type of sensor that detects the presence or absence of an external magnetic field. These sensors come in both analog and digital output. They have no moving parts, so they can be used for applications where physical interference would render other types unusable (like underwater).

On the basis of Application, the market is segmented into Smart Home Controls, Robotics, Automotive, Other.

Smart Home Controls:

Angular sensors in smart home controls help provide the room temperature and thus saving energy. The angular sensor detects heat loss from your home which helps you to keep it warm during winters. Additionally, when there is a change in temperature outside or inside of your home, it sends an alert to your mobile device making sure that you are aware of this condition so that appropriate steps can be taken you accordingly.

Robotics:

Angular Sensors are mostly used in robotics for measuring the angle of rotation or angular velocity. These sensors can help to measure friction, position, and other types of rotations. Angular Sensor is an electronic device that detects the inclination on a different axis like yaw, pitch or roll through a magnetic field. It mainly works as an input unit for robotic applications such as drones that use it to keep balance while flying.

Automotive:

Angular sensors are used in automotive for the detection of angular position, rotation speed, and vibration. It is a non-contact sensor that senses motion and rotational movement without any contact with it. Angular sensing devices can be fitted on rotating shafts to measure torque by measuring the rate of change of angle or phase displacement between two coils which results in the production of an AC voltage proportional to the input shaft's speed/torque.

On the basis of Region, the market is segmented into North America, Latin America, Europe, Asia Pacific, and Middle East & Africa.

The major driving factor for North America's growth can be attributed to technological advancement and increasing demand from end-use industries such as robotics, automation, automotive, consumer electronics among others. Furthermore, the rising demand for high-performance sensors such as angular acceleration and rotation sensors has also contributed to the industry's growth. Henceforth, North America is estimated to represent a significant share in terms of revenue contribution over the forecast period. Latin America Angular Sensors market by application, type, and end-user industries is expected to show a positive growth rate over the forecast period. The rise in awareness about safety & security products such as home automation system components including sensors will drive the regional angular sensor demand over coming years. The region has also witnessed an increased use of robotics for automating manufacturing processes which would fuel its angular sensing needs significantly. Moreover, growing applications of consumer ele

This dataset is about: Angular deviation of ODP Site 162-980. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.808966 for more information.