Scientists at the Big Bear Solar Observatory (BBSO) have captured images of a recent solar flare that Dale Gary, a distinguished professor of physics, and a co-author of the study, described as “the highest-resolution observations of this kind of activity we’ve had before.”
The images include bright flare ribbons seen crossing a sunspot followed by “coronal rain,” plasma that condenses in the cooling phase shortly after the flare, showering the visible surface of the Sun where it lands in brilliant explosions. This is the focus of a study, “Unprecedented Fine Structure of a Solar Flare Revealed by the 1.6 m New Solar Telescope,” that was published on April 13th in Scientific Reports, a journal affiliated with the Nature group of publications.
NJIT Senior David Anderson Wins Fulbright
CSLA congratulates Mathematical Sciences major David Anderson on being the first NJIT student to be awarded a Fulbright Scholarship! The grant will pay for him to travel to Germany and pursue a master’s degree at the Technische Universität München in Munich, Germany.
Click here to read more about this outstanding achievement!
Congratulations to Prof. Casey Diekman (mathematical sciences) and Prof. Alexei Khalizov (chemistry and environmental science) on their NSF Career Awards. The National Science Foundation describes these awards as their "most prestigious awards in support of junior faculty who exemplify the role of teacher-scholars through outstanding research, excellent education and the integration of education and research within the context of the mission of their organizations."
Prof. Khalizov's project, "Molecular Mechanism of Atmospheric Mercury through Speciation-Resolved Experiments", will address a major gap in our knowledge of the chemistry of atmospheric mercury. Mercury is released into the air by coal combustion and ends up in the oceans where it is absorbed by marine organisms, which then serve as the main source of mercury exposure to humans...
Prof. Diekman's project, "Neuronal Data Assimilation Tools and Models for Understanding Circadian Rhythms", will develop novel methods for inferring models of neuronal dynamics directly from time-course data. These methods will be applied to build models of the circadian clock, a biological timekeeper that aligns physiological and behavioral processes with the appropriate time of day. The models will be used to...