# FIGS -- Faint Infrared Grism Survey: Description and Data Reduction

**Authors:** Norbert Pirzkal, Sangeeta Malhotra, Russell E. Ryan, Barry Rothberg,, Norman Grogin, Steven L. Finkelstein, Anton M. Koekemoer, James Rhoads,, Rebecca L. Larson, Lise Christensen, Andrea Cimatti, Ignacio Ferreras,, Jonathan P. Gardner, Caryl Gronwall, Nimish P. Hathi, Pascale Hibon, Bhavin, Joshi, Harald Kuntschner, Gerhardt R. Meurer, Robert W. O'Connell, Goeran, Oestlin, Anna Pasquali, John Pharo, Amber N. Straughn, Jeremy R. Walsh,, Darach Watson, Rogier A. Windhorst, Nadia L Zakamska, Andrew Zirm

arXiv: 1706.02669 · 2017-09-13

## TL;DR

FIGS is a deep HST slitless spectroscopic survey of four fields using WFC3/IR, employing advanced simulation-based extraction to produce high-quality spectra for over 2000 sources, enabling detailed infrared spectral studies.

## Contribution

This paper introduces the FIGS survey and details the innovative Simulation Based Extraction method that enhances spectral data quality and analysis.

## Key findings

- Successfully extracted over 10,000 spectra from 2000 sources.
- Achieved a 3 sigma continuum depth of ~26 AB magnitudes.
- Demonstrated improved background subtraction and flux calibration.

## Abstract

The Faint Infrared Grism Survey (FIGS) is a deep Hubble Space Telescope (HST) WFC3/IR (Wide Field Camera 3 Infrared) slitless spectroscopic survey of four deep fields. Two fields are located in the Great Observatories Origins Deep Survey-North (GOODS-N) area and two fields are located in the Great Observatories Origins Deep Survey-South (GOODS-S) area. One of the southern fields selected is the Hubble Ultra Deep Field. Each of these four fields were observed using the WFC3/G102 grism (0.8$\mu m$-1.15$\mu m$ continuous coverage) with a total exposure time of 40 orbits (~ 100 kilo-seconds) per field. This reaches a 3 sigma continuum depth of ~26 AB magnitudes and probes emission lines to $\approx 10^{-17}\ erg\ s^{-1} \ cm^{-2}$. This paper details the four FIGS fields and the overall observational strategy of the project. A detailed description of the Simulation Based Extraction (SBE) method used to extract and combine over 10000 spectra of over 2000 distinct sources brighter than m_F105W=26.5 mag is provided. High fidelity simulations of the observations is shown to significantly improve the background subtraction process, the spectral contamination estimates, and the final flux calibration. This allows for the combination of multiple spectra to produce a final high quality, deep, 1D-spectra for each object in the survey.

## Full text

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## Figures

20 figures with captions in the complete paper: https://tomesphere.com/paper/1706.02669/full.md

## References

64 references — full list in the complete paper: https://tomesphere.com/paper/1706.02669/full.md

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Source: https://tomesphere.com/paper/1706.02669