650 citations · 2.5k across the 61 of their papers we have counts for
5 papers · 1 filter
Participatory Science and Machine Learning Applied to Millions of Sources in the Hobby-Eberly Telescope Dark Energy Experiment
Lindsay R. House, Karl Gebhardt, Keely Finkelstein +4
We are merging a large participatory science effort with machine learning to enhance the Hobby-Eberly Telescope Dark Energy Experiment (HETDEX). Our overall goal is to remove false…
Using Dark Energy Explorers and Machine Learning to Enhance the Hobby-Eberly Telescope Dark Energy Experiment
Lindsay R. House, Karl Gebhardt, Keely Finkelstein +11
We present analysis using a citizen science campaign to improve the cosmological measures from the Hobby-Eberly Telescope Dark Energy Experiment (HETDEX). The goal of HETDEX is to…
The Hobby-Eberly Telescope Dark Energy Experiment (HETDEX) Survey Design, Reductions, and Detections
Karl Gebhardt, Erin Mentuch Cooper, Robin Ciardullo +60
We describe the survey design, calibration, commissioning, and emission-line detection algorithms for the Hobby-Eberly Telescope Dark Energy Experiment (HETDEX). The goal of HETDEX…
Pan-STARRS Pixel Analysis : Source Detection and Characterization
Eugene A. Magnier, W. E. Sweeney, K. C. Chambers +13
Over 3 billion astronomical objects have been detected in the more than 22 million orthogonal transfer CCD images obtained as part of the Pan-STARRS1 survey. Over 85 billion i…
The Pan-STARRS1 Database and Data Products
H. A. Flewelling, E. A. Magnier, K. C. Chambers +37
This paper describes the organization of the database and the catalog data products from the Pan-STARRS1 Steradian Survey. The catalog data products are available in the form…