FIGS - Faint Infrared Grism Survey: Description and Data Reduction

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 Windhorst; Nadia L. Zakamska; Andrew Zirm

doi:10.3847/1538-4357/aa81cc

FIGS - Faint Infrared Grism Survey: Description and Data Reduction

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'ConnellGoeran Oestlin, Anna Pasquali, John Pharo, Amber N. Straughn, Jeremy R. Walsh, Darach Watson, Rogier Windhorst, Nadia L. Zakamska, Andrew Zirm

Research output: Contribution to journal › Article › peer-review

37 Scopus citations

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 μm-1.15 μm continuous coverage) with a total exposure time of 40 orbits (≈100 kilo-seconds)er field. This reaches a 3σ continuum depth of 26 ≈ AB magnitudes and probes emission lines to ∼ 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 10,000 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.

Original language	English (US)
Article number	84
Journal	Astrophysical Journal
Volume	846
Issue number	1
DOIs	https://doi.org/10.3847/1538-4357/aa81cc
State	Published - Sep 1 2017

Keywords

galaxies: general
surveys
techniques: spectroscopic

ASJC Scopus subject areas

Astronomy and Astrophysics
Space and Planetary Science

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10.3847/1538-4357/aa81cc

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Pirzkal, N., Malhotra, S., Ryan, R. E., Rothberg, B., Grogin, N., Finkelstein, S. L., Koekemoer, A. M., Rhoads, J., Larson, R. L., Christensen, L., Cimatti, A., Ferreras, I., Gardner, J. P., Gronwall, C., Hathi, N. P., Hibon, P., Joshi, B., Kuntschner, H., Meurer, G. R., ... Zirm, A. (2017). FIGS - Faint Infrared Grism Survey: Description and Data Reduction. Astrophysical Journal, 846(1), Article 84. https://doi.org/10.3847/1538-4357/aa81cc

Pirzkal, N, Malhotra, S, Ryan, RE, Rothberg, B, Grogin, N, Finkelstein, SL, Koekemoer, AM, Rhoads, J, Larson, RL, Christensen, L, Cimatti, A, Ferreras, I, Gardner, JP, Gronwall, C, Hathi, NP, Hibon, P, Joshi, B, Kuntschner, H, Meurer, GR, O'Connell, RW, Oestlin, G, Pasquali, A, Pharo, J, Straughn, AN, Walsh, JR, Watson, D, Windhorst, R, Zakamska, NL & Zirm, A 2017, 'FIGS - Faint Infrared Grism Survey: Description and Data Reduction', Astrophysical Journal, vol. 846, no. 1, 84. https://doi.org/10.3847/1538-4357/aa81cc

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title = "FIGS - Faint Infrared Grism Survey: Description and Data Reduction",

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 μm-1.15 μm continuous coverage) with a total exposure time of 40 orbits (≈100 kilo-seconds)er field. This reaches a 3σ continuum depth of 26 ≈ AB magnitudes and probes emission lines to ∼ 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 10,000 spectra of over 2000 distinct sources brighter than mF105W = 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 = "galaxies: general, surveys, techniques: spectroscopic",

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

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T2 - Description and Data Reduction

AU - Pirzkal, Norbert

AU - Malhotra, Sangeeta

AU - Ryan, Russell E.

AU - Rothberg, Barry

AU - Grogin, Norman

AU - Finkelstein, Steven L.

AU - Koekemoer, Anton M.

AU - Rhoads, James

AU - Larson, Rebecca L.

AU - Christensen, Lise

AU - Cimatti, Andrea

AU - Ferreras, Ignacio

AU - Gardner, Jonathan P.

AU - Gronwall, Caryl

AU - Hathi, Nimish P.

AU - Hibon, Pascale

AU - Joshi, Bhavin

AU - Kuntschner, Harald

AU - Meurer, Gerhardt R.

AU - O'Connell, Robert W.

AU - Oestlin, Goeran

AU - Pasquali, Anna

AU - Pharo, John

AU - Straughn, Amber N.

AU - Walsh, Jeremy R.

AU - Watson, Darach

AU - Windhorst, Rogier

AU - Zakamska, Nadia L.

AU - Zirm, Andrew

PY - 2017/9/1

Y1 - 2017/9/1

N2 - 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 μm-1.15 μm continuous coverage) with a total exposure time of 40 orbits (≈100 kilo-seconds)er field. This reaches a 3σ continuum depth of 26 ≈ AB magnitudes and probes emission lines to ∼ 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 10,000 spectra of over 2000 distinct sources brighter than mF105W = 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.

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KW - surveys

KW - techniques: spectroscopic

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JO - Astrophysical Journal

JF - Astrophysical Journal

IS - 1

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ER -

FIGS - Faint Infrared Grism Survey: Description and Data Reduction

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