The Near Infrared Imager and Slitless Spectrograph for the James Webb Space Telescope -- II. Wide Field Slitless Spectroscopy
Chris J. Willott, Ren\'e Doyon, Loic Albert, Gabriel B. Brammer,, William V. Dixon, Koraljka Muzic, Swara Ravindranath, Aleks Scholz, Roberto, Abraham, \'Etienne Artigau, Maru\v{s}a Brada\v{c}, Paul Goudfrooij, John B., Hutchings, Kartheik G. Iyer, Ray Jayawardhana

TL;DR
The paper describes the wide field slitless spectroscopy mode of the NIRISS instrument on JWST, enabling high-sensitivity, low-resolution spectral observations of nearly all sources in the field for studying distant galaxies.
Contribution
It introduces and characterizes the wide field slitless spectroscopy mode of NIRISS, detailing hardware performance, operational procedures, and calibration for high-quality data acquisition.
Findings
Spectroscopy mode covers 0.8 to 2.3 μm with R≈150 resolution.
Mode enables spectral observations of nearly all sources in the field.
Expected high sensitivity and spatial resolution for galaxy evolution studies.
Abstract
We present the wide field slitless spectroscopy mode of the NIRISS instrument on the James Webb Space Telescope. This mode employs two orthogonal low-resolution (resolving power ) grisms in combination with a set of six blocking filters in the wavelength range 0.8 to m to provide a spectrum of almost every source across the field-of-view. When combined with the low background, high sensitivity and high spatial resolution afforded by the telescope, this mode will enable unprecedented studies of the structure and evolution of distant galaxies. We describe the performance of the as-built hardware relevant to this mode and expected imaging and spectroscopic sensitivity. We discuss operational and calibration procedures to obtain the highest quality data. As examples of the observing mode usage, we present details of two planned Guaranteed Time Observations programs:…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
