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Daniel Godines Alcantara

Daniel Godines Alcantara
Graduate Student
Graduate Students

Contact Info
AY 121

Expertise: Machine Learning

Biography

Personal Website

Education

BA Physics, Bard College, 2018

Research

Hello my name is Daniel and I'm an astronomy graduate student at NMSU. I am interested in both galactic and extragalactic astronomy, with an emphasis on machine learning and computational methods. I'm currently studying Active Galactic Nuclei in high redshift Lyman-alpha nebulae under the guidance of Dr. Moire Prescott. My initial project resulted in the creation of pyBIA, deep-learning classifier capable of detecting these rare objects using single band imaging.

I'm also a part of the NMSU Computational Astrophysics group led by Dr. Wladimir Lyra. My research focuses on planetary formation via streaming instability -- we are utilizing the Pencil Code to analyze three-dimensional hydrodynamical models in the shearing-box approximation. In conjunction with radiative transfer calculations using Athena++, we are investigating whether optically thick regions can help reconcile the discrepancy between the observed mass in protoplanetary disks and the actual mass of formed planets; otherwise known as the missing-mass problem of planet formation.

In addition to my research at NMSU, I'm collaborating with the gravitational microlensing team at the Las Cumbres Observatory. Our efforts include the study and early detection of microlensing signals. I engineered and am continuing the development of LIA, a machine-learning engine that can filter for microlensing lightcurves in wide-field surveys.

Publications

A Machine Learning Classifier for Microlensing in Wide-Field Surveys, D. Godines, E. Bachelet, G. Narayan, R.A. Street