accrete-wasm
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0.2.3 • Public • Published

Accrete.rs

License: MIT Build Status Doc Crate npm version

Rust port of Accrete, planetary system generation algorithm. Based on 'Formation of Planetary Systems by Aggregation: A Computer Simulation' by Stephen H. Dole. Improved and extended by many talented people during past ~50 years (good overview here, also brief history below). This version of Accrete can be used for procedural generation of plausible planetary system.

Features

  • Planetary system generation from original Accrete.
  • Planet environment generation from Starform / Stargen.
  • Moons and rings generation.
  • Extended stellar and planetary data.
  • Stand-alone planet generation.
  • Rust crate
  • NPM package

Generate planetary system

import init, { planetary_system } from 'accrete-wasm';
async function run() {
    await init();
    const seed = 1;
    const stellar_mass = 1;
    const output = planetary_system(BigInt(seed), stellar_mass);
}
run();

Simple way to variate output is to change stellar mass. This accrete implementation is capable of generating planetary system for any stellar mass, but better (most realistic) results achieved for main sequence star class with primary star mass of 0.6 - 1.3 solar masses. Approximate stellar masses:

Spectral class W O B A F G K M
Stellar mass 40 30 10 3 1.5 1 0.7 0.4

Configuration:

stellar_mass - Primary star mass in solar masses. Default: random f64 in a range of 0.6-1.3 (corresponds main sequence spectral classes of F-G-K)

dust_density_coeff - "A" in Dole's paper, recommended range according to Dole's paper is 0.00125-0.0015, aslo noted that binary stars produced by increasing coeff of dust density in cloud (Formation of Planetary Systems by Aggregation: A Computer Simulation by Stephen H. Dole). Default: 0.0015

k - The dust-to-gas ratio 50-100 (dust/gas = K), gas = hydrogen and helium, dust = other. Recommended range: 50.0-100.0 Default: 50.0

cloud_eccentricity - Initial dust cloud cloud_eccentricity. Recommended range: 0.15-0.25. Default: 0.20

b - Crit_mass coeff is used as threshold for planet to become gas giant. Recommended range: 1.0e-5 - 1.2e-5 Default: 1.2e-5

post_accretion_intensity - Amount of random planetesimals that will bomb planets of created system after accretion. Default: 1000

Generate planet

import init, { planet } from 'accrete-wasm';
async function run() {
    await init();
    const seed = 1;
    const stellar_mass = 1;
    const output = planet(BigInt(seed), stellar_mass);
}
run();

Configuration:

stellar_luminosity - Primary star luminosity. Default: 1.0

stellar_mass - Primary star mass in solar masses. Default: 1.0

a - Planet orbital radius in AU. Default: random f64 in a range of 0.3-50.0

e - Planet eccentricity Default: f64 from random_eccentricity function

mass - Planet mass in Earth masses. Default: Random f64 in a range 3.3467202125167E-10 - 500.0

post_accretion_intensity - Amount of random planetesimals that will bomb planet after accretion. Default: 100

Check full examples

Brief history

Accrete's origin dates back to the late 60's when Stephen H. Dole published "Formation of Planetary Systems by Aggregation: A Computer Simulation". Almost a decade later Carl Sagan and Richard Isaacson refined Dole's model -- which shortly thereafter was also implemented in FORTRAN, and again elaborately and academically published by Martin Fogg in his paper "Extra-Solar Planetary Systems". The late 80's came and Matt Burdick brought this priceless program to the masses (via Turbo Pascal and C). Since then, many versions of Accrete have popped up around the internet, adding varying degrees of planetary specifics – the most notable (and ingenious) being Jim Burrow's implementation StarGen.(c)

Papers

Acknowledgements

Package Sidebar

Install

npm i accrete-wasm

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0.2.3

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MIT

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Collaborators

  • leonidgrr