activity
20182023
most citedA low-order automatic domain splitting approach for nonlinear uncertainty mapping

22 citations · 72 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.EP2023★ 21 cited

Perturbed Initial Orbit Determination

Alberto Fossà, Matteo Losacco, Roberto Armellin

An algorithm for robust initial orbit determination (IOD) under perturbed orbital dynamics is presented. By leveraging map inversion techniques defined in the algebra of Taylor pol…

math.NA2023★ 22 cited

A low-order automatic domain splitting approach for nonlinear uncertainty mapping

Matteo Losacco, Alberto Fossà, Roberto Armellin

This paper introduces a novel method for the automatic detection and handling of nonlinearities in a generic transformation. A nonlinearity index that exploits second order Taylor…

math.NA2023★ 8 cited

A Multifidelity Approach to Robust Orbit Determination

Alberto Fossà, Roberto Armellin, Emmanuel Delande +2

This paper presents an algorithm for the preprocessing of observation data aimed at improving the robustness of orbit determination tools. Two objectives are fulfilled: obtain a re…

math.NA2022★ 1 cited

Robust initial orbit determination for short-arc Doppler radar observations

M. Losacco, R. Armellin, C. Yanez +3

A new Doppler radar initial orbit determination algorithm with embedded uncertainty quantification capabilities is presented. The method is based on a combination of Gauss' and Lam…

math.NA2022★ 1 cited

Multifidelity Orbit Uncertainty Propagation using Taylor Polynomials

Alberto Fossà, Roberto Armellin, Emmanuel Delande +2

A new multifidelity method is developed for nonlinear orbit uncertainty propagation. This approach guarantees improved computational efficiency and limited accuracy losses compared…

astro-ph.EP2019★ 9 cited

Impact probability computation of Near-Earth Objects using Monte Carlo Line Sampling and Subset Simulation

Matteo Romano, Matteo Losacco, Camilla Colombo +1

This work introduces two Monte Carlo (MC)-based sampling methods, known as line sampling and subset simulation, to improve the performance of standard MC analyses in the context of…

astro-ph.EP2018★ 10 cited

A differential algebra based importance sampling method for impact probability computation on Earth resonant returns of Near Earth Objects

Matteo Losacco, Pierluigi Di Lizia, Roberto Armellin +1

A differential algebra based importance sampling method for uncertainty propagation and impact probability computation on the first resonant returns of Near Earth Objects is presen…