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Related papers: Orbital Acceleration Using Product of Exponentials

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Starting with just the assumption of uniformly distributed orbital orientations, we derive expressions for the distributions of the Keplerian orbital elements as functions of arbitrary distributions of eccentricity and semi-major axis. We…

Instrumentation and Methods for Astrophysics · Physics 2011-01-24 Dmitry Savransky , Eric Cady , N. Jeremy Kasdin

In this work, an explicit formula is deduced for identifying the orbital angular moment (OAM) of vectorial vortex with space-variant state of polarization (SOP). Different to scalar vortex, the OAM of vectorial vortex can be attributed to…

Optics · Physics 2018-10-30 Dengke Zhang , Xue Feng , Kaiyu Cui , Fang Liu , Yidong Huang

In Paper I, the effective one-electron potentials (OEP) method was introduced and demonstrated as an efficient approach to reduce the computational cost of evaluation of the charge-transfer interaction energy within the effective fragment…

Chemical Physics · Physics 2020-02-04 Bartosz Błasiak , Robert W. Góra , Wojciech Bartkowiak

We consider functional differential equations(FDEs) which are perturbations of smooth ordinary differential equations(ODEs). The FDE can involve multiple state-dependent delays or distributed delays (forward or backward). We show that,…

Dynamical Systems · Mathematics 2021-03-10 Jiaqi Yang , Joan Gimeno , Rafael de la Llave

An alternative derivation of the first-order relativistic contribution to perihelic precession is presented. Orbital motion in the Schwarzschild geometry is considered in the Keplerian limit, and the orbit equation is derived for…

Earth and Planetary Astrophysics · Physics 2010-01-26 Tyler J. Lemmon , Antonio R. Mondragon

The observation data for artificial celestial body 43096, which had been obtained during 2006-2012 within the framework of international project "The Scientific Network of Optical Instruments for Astrometric and Photometric Observations" -…

Earth and Planetary Astrophysics · Physics 2014-04-18 A. A. Bazyey , N. V. Bazyey , V. I. Kashuba , S. G. Kashuba , V. V. Kouprianov , I. E. Molotov , Z. N. Khutorovsky , L. G Tsybizova

When a test particle moves about an oblate spheroid, it is acted upon, among other things, by two standard perturbing accelerations. One, of Newtonian origin, is due to the quadrupole mass moment $J_2$ of the orbited body. The other one, of…

General Relativity and Quantum Cosmology · Physics 2023-12-13 Lorenzo Iorio

Inspirals of stellar mass compact objects into massive black holes are an important source for future gravitational wave detectors such as Advanced LIGO and LISA. Detection of these sources and extracting information from the signal relies…

General Relativity and Quantum Cosmology · Physics 2009-02-20 Tanja Hinderer , Eanna E. Flanagan

We present a novel population-based Bayesian inference approach to model the average and population variance of spatial distribution of a set of observables from ensemble analysis of low signal-to-noise ratio measurements. The method…

Cosmology and Nongalactic Astrophysics · Physics 2020-12-23 Arya Farahi , Daisuke Nagai , Yang Chen

Eccentricity of binary systems is not a gauge invariant quantity, but has an important impact on the observed gravitational wave signal of such systems, generating power in all possible harmonics of the orbital period. We here clarify the…

General Relativity and Quantum Cosmology · Physics 2019-01-21 Nicholas Loutrel , Samuel Liebersbach , Nicolas Yunes , Neil Cornish

We provide a recursive method for constructing product formula approximations to exponentials of commutators, giving the first approximations that are accurate to arbitrarily high order. Using these formulas, we show how to approximate…

Quantum Physics · Physics 2013-11-22 Andrew M. Childs , Nathan Wiebe

Ordinary differential equations (ODEs) are used to model dynamic systems appearing in engineering, physics, biomedical sciences and many other fields. These equations contain unknown parameters, say $\bm\theta$ of physical significance…

Statistics Theory · Mathematics 2014-11-05 Prithwish Bhaumik , Subhashis Ghosal

Product of experts (PoE) are layered networks in which the value at each node is an AND (or product) of the values (possibly negated) at its inputs. These were introduced as a neural network architecture that can efficiently learn to…

Machine Learning · Computer Science 2023-10-17 Spencer L. Gordon , Manav Kant , Eric Ma , Leonard J. Schulman , Andrei Staicu

The orbital sampling effect (OSE) appears in phase-folded transit light curves of extrasolar planets with moons. Analytical OSE models have hitherto neglected stellar limb darkening and non-zero transit impact parameters and assumed that…

Earth and Planetary Astrophysics · Physics 2016-03-24 René Heller , Michael Hippke , Brian Jackson

Time series forecasting is an active research topic in academia as well as industry. Although we see an increasing amount of adoptions of machine learning methods in solving some of those forecasting challenges, statistical methods remain…

Computation · Statistics 2021-01-26 Edwin Ng , Zhishi Wang , Huigang Chen , Steve Yang , Slawek Smyl

Parameter estimation for ordinary differential equations (ODEs) plays a fundamental role in the analysis of dynamical systems. Generally lacking closed-form solutions, ODEs are traditionally approximated using deterministic solvers.…

Computation · Statistics 2025-06-30 Mohan Wu , Martin Lysy

In the past decade, photoemission orbital tomography (POT) has evolved into a powerful tool to investigate the electronic structure of organic molecules adsorbed on (metallic) surfaces. By measuring the angular distribution of…

We study theoretically the phoretic motion of a spheroidal particle, which generates solute gradients in the surrounding unbounded solvent via chemical reactions active on its surface in a cap-like region centered at one of the poles of the…

Statistical Mechanics · Physics 2010-07-27 M. N. Popescu , S. Dietrich , M. Tasinkevych , J. Ralston

In this paper we discuss the development of a fast and accurate waveform model for the quasi-circular orbital evolution of extreme-mass-ratio-inspirals (EMRIs). This model simply employs the data of a few numerical Teukoulsky-based energy…

General Relativity and Quantum Cosmology · Physics 2016-09-23 Wen-Biao Han

The parameterised post-Newtonian (PPN) formalism is a weak-field slow-motion approximation for both GR and some of its generalisations. It permits various parameterisations of the motion, among which are the Lagrange-type and Gauss-type…

General Relativity and Quantum Cosmology · Physics 2021-11-16 Pini Gurfil , Michael Efroimsky
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