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Related papers: Morpho-kinematic Modeling of Nova Ejecta

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This paper is a sequel to an earlier paper devoted to multiple, multicycle nova evolution models (Prialnik & Kovetz 1995, first paper of the series), which showed that the different characteristics of nova outbursts can be reproduced by…

Astrophysics · Physics 2009-11-10 O. Yaron , D. Prialnik , M. M. Shara , A. Kovetz

The nuclear wobbling motion is studied from a microscopic viewpoint. It is shown that the expressions not only of the excitation energy but also of the electromagnetic transition rate in the microscopic RPA framework can be cast into the…

Nuclear Theory · Physics 2009-10-28 Yoshifumi R. Shimizu , Masayuki Matsuzaki

Manipulating unseen objects is challenging without a 3D representation, as objects generally have occluded surfaces. This requires physical interaction with objects to build their internal representations. This paper presents an approach…

Robotics · Computer Science 2024-10-27 Saptarshi Dasgupta , Akshat Gupta , Shreshth Tuli , Rohan Paul

A method is described to model the magnetic field in the vicinity of constellations of multiple satellites using field and plasma current measurements. This quadratic model has the properties that the divergence is zero everywhere and…

Dynamical weather and climate prediction models underpin many studies of the Earth system and hold the promise of being able to make robust projections of future climate change based on physical laws. However, simulations from these models…

Atmospheric and Oceanic Physics · Physics 2019-09-04 Peter A. G. Watson

We describe a method for modeling the geometry of porous materials. The approach enables the independent selection of crucial parameters, including porosity, pore size distribution, pore shape, and connectivity. Consequently, it can…

Materials Science · Physics 2024-04-19 Felix Buchele , Patric Müller , Michael Blank , Thorsten Pöschel

Differentiable physics provides a new approach for modeling and understanding the physical systems by pairing the new technology of differentiable programming with classical numerical methods for physical simulation. We survey the rapidly…

Machine Learning · Computer Science 2021-09-17 Bharath Ramsundar , Dilip Krishnamurthy , Venkatasubramanian Viswanathan

Manipulating an articulated object requires perceiving itskinematic hierarchy: its parts, how each can move, and howthose motions are coupled. Previous work has explored per-ception for kinematics, but none infers a complete…

Computer Vision and Pattern Recognition · Computer Science 2021-10-18 Hameed Abdul-Rashid , Miles Freeman , Ben Abbatematteo , George Konidaris , Daniel Ritchie

Nova eruptions occur in cataclysmic variables when enough material has been accreted onto the surface of the white dwarf primary. As a consequence, the material that has been accumulated until then is expelled into the interstellar medium,…

Solar and Stellar Astrophysics · Physics 2023-11-28 Lientur Celedón , Linda Schmidtobreick , Claus Tappert , Fernando Selman

The object recognition is a complex problem in the image processing. Mathematical morphology is Shape oriented operations, that simplify image data, preserving their essential shape characteristics and eliminating irrelevancies. This paper…

Computer Vision and Pattern Recognition · Computer Science 2015-07-28 R. P. Prakash , Keerthana S. Prakash , V. P. Binu

We propose a novel biophysical and dichromatic reflectance model that efficiently characterises spectral skin reflectance. We show how to fit the model to multispectral face images enabling high quality estimation of diffuse and specular…

Computer Vision and Pattern Recognition · Computer Science 2019-02-19 Sarah Alotaibi , William A. P. Smith

The development of versatile robots capable of traversing challenging and irregular environments is of increasing interest in the field of robotics, and metameric robots have been identified as a promising solution due to their slender,…

Robotics · Computer Science 2023-03-22 Qinyan Zhou , Hongbin Fang , Zhihai Bi , Jian Xu

The ability of robots to model their own dynamics is key to autonomous planning and learning, as well as for autonomous damage detection and recovery. Traditionally, dynamic models are pre-programmed or learned from external observations.…

Robotics · Computer Science 2024-03-19 Yuhang Hu , Boyuan Chen , Hod Lipson

Kinematic variables have been playing an important role in collider phenomenology, as they expedite discoveries of new particles by separating signal events from unwanted background events and allow for measurements of particle properties…

High Energy Physics - Phenomenology · Physics 2022-06-28 Roberto Franceschini , Doojin Kim , Kyoungchul Kong , Konstantin T. Matchev , Myeonghun Park , Prasanth Shyamsundar

This work proposes a new formulation to the long-standing problem of convex decomposition through learning feature fields, enabling the first feed-forward model for open-world convex decomposition. Our method produces high-quality…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Yuezhi Yang , Qixing Huang , Mikaela Angelina Uy , Nicholas Sharp

The emerging field of morphogenetic engineering proposes to design complex heterogeneous system focused on the paradigm of emergence. Necessarily at the interface of disciplines, its concepts can be defined through multiple viewpoints. This…

Multiagent Systems · Computer Science 2018-04-02 Juste Raimbault

With the boost in the number of spacecraft launches in the current decades, the space debris problem is daily becoming significantly crucial. For sustainable space utilization, the continuous removal of space debris is the most severe…

Robotics · Computer Science 2024-08-05 Kentaro Uno , Takehiro Matsuoka , Akiyoshi Uchida , Kazuya Yoshida

Understanding how new physics influences the dynamics of cosmic neutrinos during their decoupling is crucial in light of upcoming precise cosmological observations and the need to reconcile cosmological and laboratory probes. Existing…

High Energy Physics - Phenomenology · Physics 2025-03-13 Maksym Ovchynnikov , Vsevolod Syvolap

A spherical model of skeleton with junctions is investigated by Monte Carlo simulations. The model is governed by one-dimensional bending energy. The results indicate that the model undergoes a first-order transition separating the smooth…

Statistical Mechanics · Physics 2007-05-23 H. Koibuchi