Exoplanets are planets that live outside our Solar System. This post briefly introduces processing Kepler data using the lightkurve Python package, to study exoplanets.
Introduction
The transit method is currently one of the most popular indirect methods used to discover exoplanets. In a nutshell, it consists in analysing the brightness variation of the parent star when the planet crosses the light path of the object with respect to the observer. The now retired Kepler telescope was launched by NASA to detect planets orbiting other stars and is responsible for helping in detecting most of the exoplanets known today.
Lightkurve is a Python package for Kepler & TESS time series analysis, providing a user-friendly way to analyse astronomical flux time series data. The remaining of this post illustrates how to use this package to study the light curve for Kepler-427 b. We start by importing the…
This post introduces qaptnet, an instance of Google’s BERT model, fine-tuned for performing question-answering tasks in Portuguese text.
The model is trained on a dataset of contexts, questions, and corresponding answers written in Portuguese. The output of the model is the span of text in the context that answers the proposed question. For example. given the following context:
context = 'Arquitetonicamente, a escola tem um caráter católico. No topo da cúpula de ouro do edifício principal é uma estátua de ouro da Virgem Maria. Imediatamente em frente ao edifício principal e de frente para ele, é uma estátua de cobre de Cristo com os braços erguidos com a lenda Venite Ad Me Omnes. Ao lado do edifício principal é a Basílica do Sagrado Coração. Imediatamente atrás da basílica é a Gruta, um lugar mariano de oração e reflexão. …
