The use of genetic algorithm to model protoplanetary discs
A. Hetem Jr. (1), J. Gregorio-Hetem (2) ((1) Fundacao Santo Andre -, FAFIL, (2) Universidade de Sao Paulo - IAG/USP)

TL;DR
This paper introduces a genetic algorithm-based method to optimize parameters in a flared disc model for fitting the spectral energy distributions of protoplanetary discs around young stars, improving analysis efficiency.
Contribution
It develops and applies a genetic algorithm approach for parameter estimation in flared disc models, enhancing the fitting process for diverse SED shapes of young stellar objects.
Findings
GA provides good quality fits for Herbig stars' SEDs.
The method reproduces canonical flared disc models successfully.
Limitations include potential unrealistic parameters and poor fits for embedded and debris discs.
Abstract
The protoplanetary discs of T Tauri and Herbig Ae/Be stars have been studied by using geometric disc models to fit their spectral energy distribution (SED). The simulations provide means to reproduce the signatures of different circumstellar structures, which are related to different levels of infrared excess. Aiming to improve our previous model that assumed a simple flat disc configuration, in the present work we adopt a reprocessing flared disc model that considers hydrostatic, radiative equilibrium (Dullemond et al. 2001). We developed a method to optimise the parameters estimation based on genetic algorithms (GA). This paper is dedicated to describe the implementation of the new code, which has been applied for Herbig stars from the Pico dos Dias Survey catalogue, in order to illustrate the quality of the fitting for a variety of SED shapes. The star AB Aur was used as a test of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
