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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);
};