The SPHEREx Sky Simulator: Science Data Modeling for the First All-Sky Near-Infrared Spectral Survey
Abstract
We describe the SPHEREx Sky Simulator, a software tool designed to model science data for NASA's SPHEREx mission that will carry out a series of all-sky spectrophotometric surveys at 6'' spatial resolution in 102 spectral channels spanning 0.75 to 5 m. The Simulator software implements models for astrophysical emission, instrument characteristics, and survey strategy to generate realistic infrared sky scenes as they will be observed by SPHEREx. The simulated data includes a variety of realistic noise and systematic effects that are estimated using up-to-date astrophysical measurements and information from pre-launch instrument characterization campaigns. Through the pre-flight mission phases the Simulator has been critical in predicting the impact of various effects on SPHEREx science performance, and has played an important role guiding the development of the SPHEREx data analysis pipeline. In this paper, we describe the \skysim\ architecture, pre-flight instrument and sky models, and summarize high-level predictions from the Simulator, including a pre-launch prediction for the 5 point source sensitivity of SPHEREx, which we estimate to be 18.5--19 from 0.75 to 3.8~m and 16.6--18 from 3.8 to 5 m, with the sensitivity limited by the zodiacal light background at all wavelengths. In the future, on-orbit data will be used to improve the Simulator, which will form the basis of a variety of forward-modeling tools that will be used to model myriad instrumental and astrophysical processes to characterize their systematic effects on our final data products and analyses.
Keywords
Cite
@article{arxiv.2505.24856,
title = {The SPHEREx Sky Simulator: Science Data Modeling for the First All-Sky Near-Infrared Spectral Survey},
author = {Brendan P. Crill and Yoonsoo P. Bach and Sean A. Bryan and Jean Choppin de Janvry and Ari J. Cukierman and C. Darren Dowell and Spencer W. Everett and Candice Fazar and Tatiana Goldina and Zhaoyu Huai and Howard Hui and Woong-Seob Jeong and Jae Hwan Kang and Phillip M. Korngut and Jae Joon Lee and Daniel C. Masters and Chi H. Nguyen and Jeonghyun Pyo and Teresa Symons and Yujin Yang and Michael Zemcov and Rachel Akeson and Matthew L. N. Ashby and James J. Bock and Tzu-Ching Chang and Yun-Ting Cheng and Yi-Kuan Chang and Asantha Cooray and Olivier Doré and Andreas L. Faisst and Richard M. Feder and Michael W. Werner},
journal= {arXiv preprint arXiv:2505.24856},
year = {2025}
}