49 citations · 162 across the 9 of their papers we have counts for
14 papers
Resolving the inner accretion flow towards the central supermassive black hole in SDSS J1339+1310
V. N. Shalyapin, L. J. Goicoechea, C. W. Morgan +2
We studied the accretion disc structure in the doubly imaged lensed quasar SDSS J1339+1310 using -band light curves and UV-visible to near-IR (NIR) spectra from the first 11 obs…
Near infrared and optical continuum emission region size measurements in the gravitationally lensed quasars Q0957+561 and SBS0909+532
Matthew A. Cornachione, Christopher W. Morgan, Hayden R. Burger +5
We present a microlensing analysis of updated light curves in three filters, --band, --band, and --band, for the gravitationally lensed quasars Q0957+561 and SBS0909+532.…
Quasar Microlensing Variability Studies Favor Shallow Accretion Disk Temperature Profiles
Matthew A. Cornachione, Christopher W. Morgan
We compare the microlensing-based continuum emission region size measurements in a sample of 15 gravitationally lensed quasars with estimates of luminosity-based thin disk sizes to…
A Microlensing Accretion Disk Size Measurement in the Lensed Quasar WFI 2026-4536
Matthew A. Cornachione, Christopher W. Morgan, Martin Millon +4
We use thirteen seasons of R-band photometry from the 1.2m Leonard Euler Swiss Telescope at La Silla to examine microlensing variability in the quadruply-imaged lensed quasar WFI 2…
Rest-frame UV Properties of Luminous Strong Gravitationally Lensed Ly Emitters from the BELLS GALLERY Survey
R. Marques-Chaves, I. Pérez-Fournon, Y. Shu +15
We present deep rest-frame UV spectroscopic observations using the Gran Telescopio Canarias of six gravitationally lensed Lya emitters (LAEs) at selected from the BEL…
A Full Implementation of Spectro-Perfectionism for Precise Radial Velocity Exoplanet Detection: A Test Case With the MINERVA Reduction Pipeline
Matthew A. Cornachione, Adam S. Bolton, Jason D. Eastman +10
We present a computationally tractable implementation of spectro-perfectionism, a method which minimizes error imparted by spectral extraction. We develop our method in conjunction…