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March 30, 2026Monthly Notices of the Royal Astronomical Society0 citationsOpen Access

ESpRESSO: Modelling realistic crowded scenes for deep Roman Space Telescope grism spectroscopy

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AGAusten GabrielpillaiIWIsak WoldMSM. Singha

Key Points

  • The aim is to present ESpRESSO, a software package for simulating crowded astronomical scenes for spectroscopic analysis.
  • Developed software package ESpRESSO for simulating slitless spectroscopy for the Roman Space Telescope.
  • Combined Hubble Space Telescope data with spectral energy distributions to create a data-cube.
  • Focused simulations primarily on SCA5 with a foreground scene that spans two SCAs.
  • Generated detailed grism simulations that can include custom sources for analysis.
  • Demonstrated that spectral features can be accurately identified, reducing confusion with contaminating effects.

Abstract

Abstract We describe the software package ESpRESSO - Extragalactic Spectroscopic Roman Emulator and Simulator of Synthetic Objects, created to emulate the slitless spectroscopic observing modes of the Nancy Grace Roman Space Telescope (Roman) Wide Field Instrument (WFI). We combine archival Hubble Space Telescope (HST) imaging data of comparable spatial resolution with model spectral energy distributions to create a data-cube of flux density as a function of position and wavelength. ESpRESSO is designed to generate grism simulations for any Roman WFI SCA using detector-specific optical solutions; in this paper, the simulations are limited by the sky area of the deepest available input imaging and therefore focus primarily on SCA5, with a foreground scene spanning approximately two SCAs. We also demonstrate the ability to inject custom sources using the described tools and pipelines. In addition, we show that spectral features such as emission line pairs are unlikely to be mistaken as off order contaminating features and vice versa. These simulated scenes can be used in developing future spectral data analysis tools.

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Cite This Study

Gabrielpillai et al. (2026) studied this question.

synapsesocial.com/papers/69c9c5a4f8fdd13afe0bd81fhttps://doi.org/10.1093/mnras/stag618
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