The Habitable-Zone Planet Finder: improved flux image generation algorithms for H2RG up-the-ramp data
Ninan, Joe P.
Ford, Eric B.
Kaplan, Kyle F.
Terrien, Ryan C.
AffiliationUniv Arizona, Steward Observ
MetadataShow full item record
PublisherSPIE-INT SOC OPTICAL ENGINEERING
CitationJ. P. Ninan, Chad F. Bender, Suvrath Mahadevan, Eric B. Ford, Andrew J. Monson, Kyle F. Kaplan, Ryan C. Terrien, Arpita Roy, Paul M. Robertson, Shubham Kanodia, and Gudmundur K. Stefansson "The Habitable-Zone Planet Finder: improved flux image generation algorithms for H2RG up-the-ramp data", Proc. SPIE 10709, High Energy, Optical, and Infrared Detectors for Astronomy VIII, 107092U (2 August 2018); doi: 10.1117/12.2312787; https://doi.org/10.1117/12.2312787
Rights© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).
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AbstractNoise and stability of current state of the art near-infrared (NIR) array detectors are still substantially worse than optical science grade CCDs used in astronomy. Obtaining the maximum signal-to-noise ratio in flux image is important for many NIR instruments, as is stable well understood data reduction and extraction. The Habitable-zone Planet Finder (HPF) is a near-infrared ultra stable precision radial velocity (RV) spectrograph commissioned on 10-m Hobby-Eberly Telescope (HET), McDonald Observatory, Texas, USA. HPF uses a Teledyne H2RG array detector. In order to achieve the high-precision (similar to 1 m/s) RV measurements from the NIR spectrum of HPF's science target stars, it is vital to maximize the signal-to-noise ratio and to accurately propagate the uncertainties. Here we present the algorithms we have developed to significantly improve the quality of flux images calculated from the up-the-ramp readout mode of H2RG. The algorithms in the tool HxRGproc presented in this manuscript are used for HPF's bias noise removal, non-linearity correction, cosmic ray correction, slope/flux and variance image calculation.
VersionFinal published version
SponsorsCenter for Exoplanet and Habitable Worlds; Pennsylvania State University; Eberly College of Science; Pennsylvania Space Grant Consortium; NSF [AST1006676, AST1126413, AST1310885]; NASA Astrobiology Institute [NNA09DA76A]; Heising-Simons Foundation