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

Authors :
Pirzkal, Norbert
Malhotra, Sangeeta
Ryan, Russell E.
Rothberg, Barry
Grogin, Norman
Finkelstein, Steven L.
Koekemoer, Anton M.
Rhoads, James
Larson, Rebecca L.
Christensen, Lise
Cimatti, Andrea
Ferreras, Ignacio
Gardner, Jonathan P.
Gronwall, Caryl
Hathi, Nimish P.
Hibon, Pascale
Joshi, Bhavin
Kuntschner, Harald
Meurer, Gerhardt R.
O'Connell, Robert W.
Oestlin, Goeran
Pasquali, Anna
Pharo, John
Straughn, Amber N.
Walsh, Jeremy R.
Watson, Darach
Windhorst, Rogier A.
Zakamska, Nadia L
Zirm, Andrew
Publication Year :
2017

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.<br />Comment: 21 Pages. 17 Figures. To appear in ApJ

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1706.02669
Document Type :
Working Paper
Full Text :
https://doi.org/10.3847/1538-4357/aa81cc