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Filtergraph: A Flexible Web Application for Instant Data Visualization of Astronomy Datasets
Dan Burger, Keivan G. Stassun, Joshua Pepper +3
Filtergraph is a web application being developed by the Vanderbilt Initiative in Data-intensive Astrophysics (VIDA) to flexibly handle a large variety of astronomy datasets. While…
Very Low-mass Stellar and Substellar Companions to Solar-like Stars from Marvels III: A Short-Period Brown Dwarf Candidate Around An Active G0Iv Subgiant
Bo Ma, Jian Ge, Rory Barnes +45
We present an eccentric, short-period brown dwarf candidate orbiting the active, slightly evolved subgiant star TYC 2087-00255-1, which has effective temperature T_eff = 5903+/-42…
KELT-3b: A Hot Jupiter Transiting a V=9.8 Late-F Star
Joshua Pepper, Robert J. Siverd, Thomas G. Beatty +31
We report the discovery of KELT-3b, a moderately inflated transiting hot Jupiter with a mass of 1.477 (-0.067, +0.066) M_J, and radius of 1.345 +/- 0.072 R_J, with an orbital perio…
Mass loss in pre-main sequence stars via coronal mass ejections and implications for angular momentum loss
Alicia Aarnio, Sean Matt, Keivan Stassun
We develop an empirical model to estimate mass-loss rates via coronal mass ejections (CMEs) for solar-type pre-main-sequence (PMS) stars. Our method estimates the CME mass-loss rat…
The SLoWPoKES Catalog of Low-mass Ultra-wide Binaries: A Cool Stars Resource for Testing Fundamental Properties and for Constraining Binary Formation Theory
Saurav Dhital, Andrew A. West, Keivan G. Stassun +1
We present results from the Sloan Low-mass Wide Pairs of Kinematically Equivalent Stars (SLoWPoKES) catalog of ultra-wide (10^3-10^5.5 AU), low-mass (K5-M7) common proper motion bi…
Correcting for Activity Effects on the Temperatures, Radii, and Estimated Masses of Low-Mass Stars and Brown Dwarfs
Keivan G. Stassun, Kaitlin M. Kratter, Aleks Scholz +1
We present empirical relations for determining the amount by which the effective temperatures and radii---and therefore the estimated masses---of low-mass stars and brown dwarfs ar…