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astrostatistic2022class

classifier-transient_search_randomforest

This is a Notebook exemple of how to create a Random Forest Classifier to Identify Objects with flux variation, like Supernovas, Kilonovas and other types of Astronomical transients. This code was developed by Phelipe Darc.

curriculum_vitae-cv

Phelipe Darc - CV (2024)

deepstep

DeepSTEP is an advanced deep learning model that utilizes convolutional neural networks to find transients on difference imaging data from the T80s telescope.

kilonova_spectral_modelling_npe

Amortized Neural Posterior Estimation - Kilonova modelling

lemobs_script_preprocessing

Two demonstrative notebooks (ipynb) for the data acquisition of the LEMOBS and LNCC project.

npe_tutorial_cbpf

This repository contains a tutorial notebook demonstrating the implementation of Neural Posterior Estimation (NPE), a powerful method in simulation-based inference.

phelipedarc.github.io

sbi_spectrum_classifier

This project is a collaboration to develop two spectrum classifiers using Simulation Based Inference (Deep Learning). The first classifier distinguishes between Supernovas and Kilonovas, while the second classifier classifies Supernova spectra as either Type I or Type II.

simulation-based-inference---kilonova-

Amortized Neural Posterior Estimation - Kilonova modelling

transferlearning_muilti-channel_imagery

Implementing Transfer Learning to N>3 Channels Imagery and Removing Pre-processing Layers from Tensorflow.applications