a few words about my resesarch

I am fortunate that my career as an academic teacher and researcher allows for constant personal and professional growth, and brings me into touch with some of the brigthest mids of many different generations. My past and present students and postdocs have come from many corners of the world and have enriched my life immensely.

I am motivated by the ability to apply physics, mathematics, and computational techniques to unlocking the secrets of the cosmos. In our group we have developed a new paradigm for the evolution of protoplanetary disks around young stars. The Migrating Embryo model can explain the luminosity bursts of young stars, binary star and giant planet formation, and the ejection of low mass objects into the interstellar medium. Magnetic fields in the cosmos add a richness and complexity to all interstellar gas dynamics and we have demonstrated its effect in creating a broad distribution of protostellar core masses and in limiting the initial size of protoplanetary disks.

There are many avenues available for a bright and motivated student or postdoc to make major progress in theoretical astrophysics using physical insight and numerical simulations.

Research Highlights

The Migrating Embryo Model of Disk Evolution

Through a series of papers with rigorous self-consistent calculations of the formation and evolution of protostellar disks, we are promoting a new view of disk evolution. This Migrating Embryo model has implications for many aspects of star and planet formation, including the formation of stellar and substellar (brown dwarf and planet) systems, luminous outbursts of young stellar objects, and the growth of dust and high-temperature processing of materials.

read more
Star Formation from the Fragmentation of Interstellar Molecular Clouds

Work in our group is one of the few in the world that has solved the equations of non-ideal magnetohydrodynamics to calculate the evolution of such processes as they affect gravitational fragmentation. This is interesting because magnetic fields can explain the observed very low efficiency of formation of molecular gas into stars. Only a few percent of molecular cloud mass is converted into stars in typical observed star-forming regions.

read more
The Modified Lognormal Power Law (MLP) Distribution

There are many disciplines in which a desired distribution is one that is like a lognormal at low and intermediate values, with a characteristic peak and turnover, but transitions to a power law distribution at high values. Besides astronomy, this need has arisen in fields as diverse as biology, computer science, ecology, and financel. We have analyzed and characterized the properties of a hybrid three-parameter probability density function (Basu, Gil, and Auddy 2015; Basu and Jones 2004) that can be used to fruitfully model data sets that exhibit both lognormal-like and power-law behavior. It is a natural first step when fitting data that may look like a modified lognormal, and its relatively compact analytic closed-form expression makes it easy to use with common fitting techniques.

read more