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ootk

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Orbital Object Toolkit including Multiple Propagators, Initial Orbit Determination, and Maneuver Calculations.

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/** * @author @thkruz Theodore Kruczek * @license AGPL-3.0-or-later * @copyright (c) 2025 Kruczek Labs LLC * * Orbital Object ToolKit is free software: you can redistribute it and/or modify it under the * terms of the GNU Affero General Public License as published by the Free Software * Foundation, either version 3 of the License, or (at your option) any later version. * * Orbital Object ToolKit is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; * without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. * See the GNU Affero General Public License for more details. * * You should have received a copy of the GNU Affero General Public License along with * Orbital Object ToolKit. If not, see <http://www.gnu.org/licenses/>. */ import { Radians, Kilometers, Vector3D, RadiansPerSecond, KilometersPerSecond, Matrix } from '../main.js'; export const radecToPosition = (ra: Radians, dec: Radians, r: Kilometers): Vector3D<Kilometers> => { const ca = Math.cos(ra); const sa = Math.sin(ra); const cd = Math.cos(dec); const sd = Math.sin(dec); return new Vector3D(r * cd * ca as Kilometers, r * cd * sa as Kilometers, r * sd as Kilometers); }; export const radecToVelocity = ( ra: Radians, dec: Radians, r: Kilometers, raDot: RadiansPerSecond, decDot: RadiansPerSecond, rDot: KilometersPerSecond, ): Vector3D<KilometersPerSecond> => { const ca = Math.cos(ra); const sa = Math.sin(ra); const cd = Math.cos(dec); const sd = Math.sin(dec); return new Vector3D( rDot * cd * ca - r * sd * ca * decDot - r * cd * sa * raDot as KilometersPerSecond, rDot * cd * sa - r * sd * sa * decDot + r * cd * ca * raDot as KilometersPerSecond, rDot * sd + r * cd * decDot as KilometersPerSecond, ); }; export const normalizeAngle = (a: number, b: number): number => { const x = a - b; return Math.atan2(Math.sin(x), Math.cos(x)); }; export const observationDerivative = (xh: number, xl: number, step: number, isAngle = false): number => (isAngle ? normalizeAngle(xh, xl) : xh - xl) / step; export const observationNoiseFromSigmas = (sigmas: number[]): Matrix => { const n = sigmas.length; const result = Array.from({ length: n }, () => Array(n).fill(0.0)); for (let i = 0; i < n; i++) { const s = sigmas[i]; result[i][i] = 1 / (s * s); } return new Matrix(result); };