New machine learning techniques developed by scientists at Rochester Institute of Technology are revealing important information about how pulsars—rapidly rotating neutron stars—behave. In a new study published by Monthly Notices of the Royal Astronomical Society, the researchers outlined their new techniques and how they applied to study Vela, the brightest radio pulsar in the sky.
Brown Hall will get a face-lift as it becomes a new location for several science and engineering research laboratories. Work is expected to begin on the redesign of the building, on the west side of campus, which previously housed offices of RIT’s Division of Marketing and Communications and several classrooms.
Serena Tramm and Mike Ortiz are pursuing their studies in astrophysics and have been working alongside Michael Zemcov, assistant professor in RIT’s School of Physics and Astronomy. Together, the team conducted an experiment that resulted in traveling to New Mexico’s White Sands Missile Range for the first CIBER-2 launch earlier this year.