Journal article
The Spectroscopic Classification of Astronomical Transients (SCAT) Survey: Overview, Pipeline Description, Initial Results, and Future Plans
MA Tucker, BJ Shappee, ME Huber, AV Payne, A Do, JT Hinkle, T de Jaeger, C Ashall, DD Desai, WB Hoogendam, G Aldering, K Auchettl, C Baranec, J Bulger, K Chambers, M Chun, KW Hodapp, TB Lowe, L McKay, R Rampy Show all
Publications of the Astronomical Society of the Pacific | Published : 2022
Abstract
We present the Spectroscopic Classification of Astronomical Transients (SCAT) survey, which is dedicated to spectrophotometric observations of transient objects such as supernovae and tidal disruption events. SCAT uses the SuperNova Integral-Field Spectrograph (SNIFS) on the University of Hawai’i 2.2 m (UH2.2m) telescope. SNIFS was designed specifically for accurate transient spectrophotometry, including absolute flux calibration and host-galaxy removal. We describe the data reduction and calibration pipeline including spectral extraction, telluric correction, atmospheric characterization, nightly photometricity, and spectrophotometric precision. We achieve ≲5% spectrophotometry across the f..
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Awarded by High Energy Physics
Funding Acknowledgements
M.A.T. acknowledges support from the DOE CSGF through grant DE-SC0019323. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under grant No. 2236415. G.A acknowledges support from the Director, Office of Science, Office of High Energy Physics, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. UH2.2 m robotization: NSF grant AST-1920392. Robo-AO-2: NSF grant AST-1712014.Pan-STARRS is a project of the Institute for Astronomy of the University of Hawaii, and is supported by the NASA SSO Near Earth Observation Program under grants 80NSSC18K0971, NNX14AM74G, NNX12AR65G, NNX13AQ47G, NNX08AR22G, 80NSSC21K1572 and by the State of Hawaii. Software: numpy (Harris et al. 2020), astropy (Astropy Collaboration et al. 2013), lmfit (Newville et al. 2021), emcee (Foreman-Mackey et al. 2013), spectres (Carnall 2017), matplotlib (Hunter 2007), photutils (Bradley et al. 2019), scipy (Virtanen et al. 2020), pandas (Reback et al. 2022), astroscrappy (McCully et al. 2018). Facility: UH: 2.2m.