ExoSGAN and ExoACGAN: Exoplanet Detection using Adversarial Training Algorithms

07/20/2022
by   Cicy K Agnes, et al.
0

Exoplanet detection opens the door to the discovery of new habitable worlds and helps us understand how planets were formed. With the objective of finding earth-like habitable planets, NASA launched Kepler space telescope and its follow up mission K2. The advancement of observation capabilities has increased the range of fresh data available for research, and manually handling them is both time-consuming and difficult. Machine learning and deep learning techniques can greatly assist in lowering human efforts to process the vast array of data produced by the modern instruments of these exoplanet programs in an economical and unbiased manner. However, care should be taken to detect all the exoplanets precisely while simultaneously minimizing the misclassification of non-exoplanet stars. In this paper, we utilize two variations of generative adversarial networks, namely semi-supervised generative adversarial networks and auxiliary classifier generative adversarial networks, to detect transiting exoplanets in K2 data. We find that the usage of these models can be helpful for the classification of stars with exoplanets. Both of our techniques are able to categorize the light curves with a recall and precision of 1.00 on the test data. Our semi-supervised technique is beneficial to solve the cumbersome task of creating a labeled dataset.

READ FULL TEXT

page 19

page 20

research
12/03/2018

Semi-supervised Rare Disease Detection Using Generative Adversarial Network

Rare diseases affect a relatively small number of people, which limits i...
research
11/19/2015

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

In this paper we present a method for learning a discriminative classifi...
research
04/05/2023

Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks

This paper investigates the potential of semi-supervised Generative Adve...
research
08/04/2021

Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective

Spear Phishing is a type of cyber-attack where the attacker sends hyperl...
research
11/14/2019

Dectecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs

Invasive ductal carcinoma (IDC) comprises nearly 80 The detection of IDC...
research
07/10/2017

Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks

Material recognition enables robots to incorporate knowledge of material...
research
06/25/2020

FastSpec: Scalable Generation and Detection of Spectre Gadgets Using Neural Embeddings

Several techniques have been proposed to detect vulnerable Spectre gadge...

Please sign up or login with your details

Forgot password? Click here to reset