English

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

Astrophysics of Galaxies 2017-09-13 v2

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 (0.8μm\mu m-1.15μm\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 1017 erg s1 cm2\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.

Keywords

Cite

@article{arxiv.1706.02669,
  title  = {FIGS -- Faint Infrared Grism Survey: Description and Data Reduction},
  author = {Norbert Pirzkal and Sangeeta Malhotra and Russell E. Ryan and Barry Rothberg and Norman Grogin and Steven L. Finkelstein and Anton M. Koekemoer and James Rhoads and Rebecca L. Larson and Lise Christensen and Andrea Cimatti and Ignacio Ferreras and Jonathan P. Gardner and Caryl Gronwall and Nimish P. Hathi and Pascale Hibon and Bhavin Joshi and Harald Kuntschner and Gerhardt R. Meurer and Robert W. O'Connell and Goeran Oestlin and Anna Pasquali and John Pharo and Amber N. Straughn and Jeremy R. Walsh and Darach Watson and Rogier A. Windhorst and Nadia L Zakamska and Andrew Zirm},
  journal= {arXiv preprint arXiv:1706.02669},
  year   = {2017}
}

Comments

21 Pages. 17 Figures. To appear in ApJ