Natalie E. Strand

Robust Machine Learning Applied to Astronomical Datasets III: Probabilistic Photometric Redshifts for Galaxies and Quasars in the SDSS and GALEX (2008)

Ball, Nicholas M., Brunner, Robert J., Myers, Adam D., Strand, Natalie E., Alberts, Stacey L., Tcheng, David

We apply machine learning in the form of a nearest neighbor instance-based algorithm (NN) to generate full photometric redshift probability density functions (PDFs) for objects in the Fifth Data...

AGN Environments in the Sloan Digital Sky Survey I: Dependence on Type, Redshift, and Luminosity (2007)

Strand, Natalie E., Brunner, Robert J., Myers, Adam D.

We explore how the local environment is related to the redshift, type, and luminosity of active galactic nuclei (AGN). Recent simulations and observations are converging on the view that the extreme...

Quasar Clustering at $25\kpch$ from a Complete Sample of Binaries (2007)

Myers, Adam D., Richards, Gordon T., Brunner, Robert J., Schneider, Donald P., Strand, Natalie E., Hall, Patrick B., ...

We present spectroscopy of binary quasar candidates selected from Data Release 4 of the Sloan Digital Sky Survey (SDSS DR4) using Kernel Density Estimation (KDE). We present 27 new sets of...

Robust Machine Learning Applied to Astronomical Datasets II: Quantifying Photometric Redshifts for Quasars Using Instance-Based Learning (2006)

Ball, Nicholas M., Brunner, Robert J., Myers, Adam D., Strand, Natalie E., Alberts, Stacey L., Tcheng, David, ...

We apply instance-based machine learning in the form of a k-nearest neighbor algorithm to the task of estimating photometric redshifts for 55,746 objects spectroscopically classified as quasars in...