SPHEREx: NASA's near-infrared spectrophotometric all-sky survey

Creators: Crill, Brendan P.; Werner, Michael; Akeson, Rachel; Ashby, Matthew; Bleem, Lindsey; Bock, James J.; Bryan, Sean; Burnham, Jill; Byunh, Joyce; Chang, Tzu-Ching; Chiang, Yi-Kuan; Cook, Walter; Cooray, Asantha; Davis, Andrew; Doré, Olivier; Dowell, C. Darren; Dubois-Felsmann, Gregory P.; Eifler, Tim; Faisst, Andreas; Habib, Salman; Heinrich, Chen; Heitmann, Katrin; Heaton, Grigory; Hirata, Christopher; Hristov, Viktor; Hui, Howard; Jeong, Woong-Seob; Kang, Jae Hwan; Kecman, Branislav; Kirkpatrick, J. Davy; Korngut, Phillip M.; Krause, Elisabeth; Lee, Bomee; Lisse, Carey; Masters, Daniel; Mauskopf, Philip; Melnick, Gary; Miyasaka, Hiromasa; Nayyeri, Hooshang; Nguyen, Hien; Öberg, Karin; Padin, Steve; Paladini, Roberta; Pourrahmani, Milad; Pyo, Jeonghyun; Smith, Roger; Song, Yong-Seong; Symons, Teresa; Teplitz, Harry; Tolls, Volker; Unwin, Stephen; Windhorst, Rogier; Yang, Yujin; Zemcov, Michael

Others:: Lystrup, Makenzie; Perrin, Marshall D.; Batalha, Natalie; Siegler, Nicholas; Tong, Edward C.

Abstract

SPHEREx, the Spectro-Photometer for the History of the Universe, Epoch of Reionization, and ices Explorer, is a NASA MIDEX mission planned for launch in 2024. SPHEREx will carry out the first all-sky spectral survey at wavelengths between 0.75µm and 5µm with spectral resolving power ~40 between 0.75 and 3.8µm and ~120 between 3.8 and 5µm At the end of its two-year mission, SPHEREx will provide 0.75-to-5µm spectra of each 6."2 x 6."2 pixel on the sky - 14 billion spectra in all. This paper updates an earlier description of SPHEREx presenting changes made during the mission's Preliminary Design Phase, including a discussion of instrument integration and test ow and a summary of the data processing, analysis, and distribution plans.

Additional Information

© 2020 Society of Photo-Optical Instrumentation Engineers (SPIE). Part of the research described in this paper was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004) The authors acknowledge the Texas Advanced Computing Center (TACC) at the University of Texas at Austin for providing HPC resources that have contributed to the research results reported within this paper. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This research made use of Astropy, a community-developed core Python package for Astronomy.

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