27 citations · 93 across the 14 of their papers we have counts for
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astro-ph.GA2021★ 6 cited
Identification of single spectral lines in large spectroscopic surveys using UMLAUT: an Unsupervised Machine Learning Algorithm based on Unbiased Topology
I. Baronchelli, C. M. Scarlata, L. Rodriguez-Muñoz +19
The identification of an emission line is unambiguous when multiple spectral features are clearly visible in the same spectrum. However, in many cases, only one line is detected, m…
astro-ph.GA2021★ 8 cited
Spectroscopically Identified Emission Line Galaxy Pairs in the WISP survey
Y. Sophia Dai, Matthew M. Malkan, Harry I. Teplitz +20
We identify a sample of spectroscopically measured emission line galaxy (ELG) pairs up to z=1.6 from the WFC3 Infrared Spectroscopic Parallels (WISP) survey. WISP obtained slitless…