Gaspard Duchêne Associate Research Astronomer and Lecturer Astronomy Department 269 Campbell Hall UC Berkeley Berkeley CA 94720-3411 USA gduchene (at) berkeley.edu Fax: (510) 642 3411 |
Home Research Publications / CV (pdf) Teaching UC Adaptive Optics Seminar |
Stellar multiplicity and star
formation Stellar multiplicity is ubiquitous among stars in our Galaxy. To characterize the end result of star formation, I perform large-scale surveys of stellar populations to determine their statistical properties (frequency, distributions of semi-major axes and mass ratios, ...). In particular, I have studied stars of all masses among:
|
|
In-depth
studies of selected multiple systems Some young multiple systems are highly valuable as benchmarks or particularly unique systems. I conduct dedicated follow-up studies to
|
Imaging of protoplanetary and
debris disks Circumstellar disks around pre-main sequence stars represent the birthplace for planetary systems while the debris disk phenomenon occurs after planet formation, when collisions between large planetesimals produce short-lived small dust grains. My work in this area focuses on obtaining high-resolution imaging datasets that help resolve the spatial structure and determine the dust properties of disks. To this end, I use a combination of:
Images to the right show the HR 4796 A debris ring in
total and polarized intensity at 2 micron, from data
obtained with the state-of-the-art adaptive optics-fed
Gemini Planet Imager (Perrin et al. 2015). On the bottom
is a 3 color composite Hubble Space Telescope of an
edge-on protoplanetary disk with its associated collimated
jet. In 2018, I contributed to an ARAA
review on Debris Disks with Meredith Hughes
and Brenda Matthews, building on Herschel, ALMA, HST and
ground-based adaptive optics imaging of these systems. |
|
Radiative transfer modeling of disks
Full quantitative analyses of the high-quality imaging disk images require the use of a radiative transfer model. To this end, I have contributed to the development of the Monte Carlo-based MCFOST radiative transfer code (Pinte et al. 2006; 2009) to produce synthetic
|