76 citations · 249 across the 6 of their papers we have counts for
6 papers
Machine-learning techniques for fast and accurate feature localization in holograms of colloidal particles
Mark D. Hannel, Aidan Abdulali, Michael O'Brien +1
Holograms of colloidal particles can be analyzed with the Lorenz-Mie theory of light scattering to measure individual particles' three-dimensional positions with nanometer precisio…
Holographic characterization of imperfect colloidal spheres
Mark Hannel, Christine Middleton, David G. Grier
We demonstrate precise measurements of the size and refractive index of individual dimpled colloidal spheres using holographic characterization techniques developed for ideal spher…
Simulation of Astronomical Images from Optical Survey Telescopes using a Comprehensive Photon Monte Carlo Approach
J. R. Peterson, J. G. Jernigan, S. M. Kahn +17
We present a comprehensive methodology for the simulation of astronomical images from optical survey telescopes. We use a photon Monte Carlo approach to construct images by samplin…
Effect of Measurement Errors on Predicted Cosmological Constraints from Shear Peak Statistics with LSST
D. Bard, J. M. Kratochvil, C. Chang +26
The statistics of peak counts in reconstructed shear maps contain information beyond the power spectrum, and can improve cosmological constraints from measurements of the power spe…
Atmospheric PSF Interpolation for Weak Lensing in Short Exposure Imaging Data
C. Chang, P. J. Marshall, J. G. Jernigan +25
A main science goal for the Large Synoptic Survey Telescope (LSST) is to measure the cosmic shear signal from weak lensing to extreme accuracy. One difficulty, however, is that wit…
Spurious Shear in Weak Lensing with LSST
C. Chang, S. M. Kahn, J. G. Jernigan +25
The complete 10-year survey from the Large Synoptic Survey Telescope (LSST) will image 20,000 square degrees of sky in six filter bands every few nights, bringing the final…