HWO NIR and NUV wavelength cutoff and spectra quality impacts on yield and architecture space

Habitable Worlds Observatory (HWO) will search for biosignatures from Earth-size exoplanets in the habitable zones of nearby stars. The wavelength range is a critical driver for HWO architecture designs and science return. We evaluate the NUV, Visible, and NIR spectral characterization yields in a large parameter sweep over aperture diameter, optical system throughput, starlight suppression system inner working angle, core throughput, contrast, contrast stability, exozodi brightness and exozodi calibration residual. We also explore discrete options in wavelength cutoff (for the NUV and NIR), spectral resolution, and SNR. We train a Random Forest model on the parameter sweeps and invert it to find regions of architecture space which yield 25 exo-Earths in the visible and indicate which parts of architecture space may best enable NUV and NIR yields.

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Published
2025-09-18
DOI
https://doi.org/10.1117/12.3064764
Primary Topic
Astronomy and Astrophysical Research
Type
article
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article

HWO NIR and NUV wavelength cutoff and spectra quality impacts on yield and architecture space

Dmitry Savransky, Mario Damiano, M. Turmon, Renyu Hu et al.
Astronomy and Astrophysical Research
article

HWO NIR and NUV wavelength cutoff and spectra quality impacts on yield and architecture space

Dmitry Savransky, Mario Damiano, M. Turmon, Renyu Hu, Bertrand Mennesson, Tyler D. Robinson, Armen Tokadjian, Eric E. Mamajek, Rhonda Morgan
article en

Abstract

Habitable Worlds Observatory (HWO) will search for biosignatures from Earth-size exoplanets in the habitable zones of nearby stars. The wavelength range is a critical driver for HWO architecture designs and science return. We evaluate the NUV, Visible, and NIR spectral characterization yields in a large parameter sweep over aperture diameter, optical system throughput, starlight suppression system inner working angle, core throughput, contrast, contrast stability, exozodi brightness and exozodi calibration residual. We also explore discrete options in wavelength cutoff (for the NUV and NIR), spectral resolution, and SNR. We train a Random Forest model on the parameter sweeps and invert it to find regions of architecture space which yield 25 exo-Earths in the visible and indicate which parts of architecture space may best enable NUV and NIR yields.

Jet Propulsion Laboratory (US), University of Arizona (US)
Openalex Percentile: Top 74%
Astronomy and Astrophysical Research
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HWO NIR and NUV wavelength cutoff and spectra quality impacts on yield and architecture space — Dmitry Savransky, Mario Damiano, et al. · (2025) | TGRS Research Map | TGRS