1992- The Structure and Morphology of faint galaxy images observed with the Hubble Space Telescope.
I formulated the automated object detection and maximum likelihood image analysis pipeline for the Hubble Space Telescope, Medium Deep Survey key project. In addition to many new results in cosmology this survey has led to the discovery of a new class of Gravitational Lens candidates.
As a Research Associate at Dominion Astrophysical Observatory in Victoria, Canada (1986-88), and subsequently at the Goddard Space Flight Center in Greenbelt MD (1989-90), I developed maximum likelihood statistical analysis algorithms to overcome sample selection effects inherent in any catalog, and derive unbiased quantitative parameter estimates of global models. These procedures have now been applied to analysis of the HIPPARCOS catalog
|1992-98||Maximum-likelihood analysis of Hipparcos astrometric data|
|PI: Stefano Casertano, Dept. of Physics & Astronomy,|
|John Hopkins University, Baltimore, MD, USA|
As a member of the Institute for Advanced Study in Princeton NJ (1984-86), I developed IASG, a software interface between theoretical models of our Galaxy and observables in stellar catalogs such as color-apparent magnitude, trigonometric parallax, proper motion and radial velocity of field stars.
For my PhD thesis at Mount Stromlo and Siding Spring Observatories, of the Australian National University (1979-83) I developed automated survey procedures to discover rare in-situ field K-giants in the Galactic halo.