3.5k citations · 5.2k across the 34 of their papers we have counts for
34 papers
Rare Events via Cross-Entropy Population Monte Carlo
Caleb Miller, Jem N. Corcoran, Michael D. Schneider
We present a Cross-Entropy based population Monte Carlo algorithm. This methods stands apart from previous work in that we are not optimizing a mixture distribution. Instead, we le…
Gaussian Process Classification for Galaxy Blend Identification in LSST
James J. Buchanan, Michael D. Schneider, Robert E. Armstrong +3
A significant fraction of observed galaxies in the Rubin Observatory Legacy Survey of Space and Time (LSST) will overlap at least one other galaxy along the same line of sight, in…
Star-Galaxy Image Separation with Computationally Efficient Gaussian Process Classification
Amanda L. Muyskens, Imène R. Goumiri, Benjamin W. Priest +4
We introduce a novel method for discerning optical telescope images of stars from those of galaxies using Gaussian processes (GPs). Although applications of GPs often struggle in h…
MuyGPs: Scalable Gaussian Process Hyperparameter Estimation Using Local Cross-Validation
Amanda Muyskens, Benjamin Priest, Imène Goumiri +1
Gaussian processes (GPs) are non-linear probabilistic models popular in many applications. However, naïve GP realizations require quadratic memory to store the covariance matrix an…
A New Blind Asteroid Detection Scheme
Nathan Golovich, Noah Lifset, Robert Armstrong +3
As astronomical photometric surveys continue to tile the sky repeatedly, the potential to pushdetection thresholds to fainter limits increases; however, traditional digital-trackin…
The Impact of Tomographic Redshift Bin Width Errors on Cosmological Probes
Imran Hasan, Samuel J. Schmidt, Michael D. Schneider +1
Systematic errors in the galaxy redshift distribution can propagate to systematic errors in the derived cosmology. We characterize how the degenerate effects in tomographic…