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Galaxy Nurseries: Crowdsourced Analysis of Slitless Spectroscopic Data

Dickinson, Hugh and Scarlata, Claudia and Fortson, Lucy and Bagley, Micaela and Mehta, Vihang and Phillips, John and Baronchelli, Ivano and Dai, Sophia and Hathi, Nimish and Henry, Alaina and Malkan, Matthew and Rafelski, Marc and Teplitz, Harry and Zanella, Anita and Lintott, Chris (2018) Galaxy Nurseries: Crowdsourced Analysis of Slitless Spectroscopic Data. Research Notes of the AAS, 2 (3). Art. No. 120. ISSN 2515-5172. doi:10.3847/2515-5172/aad194.

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The Galaxy Nurseries project was designed to enable crowdsourced analysis of slitless spectroscopic data by volunteers using the Zooniverse online interface. The data set was obtained by the WFC3 Infrared Spectroscopic Parallel (WISP) Survey collaboration (Atek et al. 2010) and comprises NIR grism (G102 and G141) and direct imaging of 432 fields. The scientific goals of WISP Survey require reliable identification of emission lines (e.g., Atek et al. 2014; Masters et al. 2014). Spectral contamination by overlapping signals from multiple sources or diffraction orders as well as residual artifacts of the data reduction can significantly complicate the automatic detection and identification of emission lines. Visual verification of automatically detected features has proved essential to obtain a pure sample of emission lines. In Galaxy Nurseries verification of putative emission lines was delegated to citizen-scientist volunteers. Data were presented as "subject images" using the fixed format illustrated in the top panels of Figure 1. For each target, volunteers were provided with the two-dimensional spectrum (B), the corresponding one-dimensional extraction (A) and its direct image (C). Volunteers were instructed to evaluate only the feature identified by the green crosshairs and to decide whether it was a genuine emission line or more likely an artifact, providing a Boolean Valued (i.e., "Real" or "Spurious") label. Following its launch, Galaxy Nurseries was completed in only 40 days, gathering 414,360 classifications from 3003 volunteers for 27,333 putative emission lines. At least 15 classifications were obtained for each subject image. For reference, it took approximately 4.5 months for the full sample of lines to be visually inspected by two members of the WISP Survey Science Team (WSST).

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Dickinson, Hugh0000-0003-0475-008X
Scarlata, Claudia0000-0002-9136-8876
Fortson, Lucy0000-0002-1067-8558
Bagley, Micaela0000-0002-9921-9218
Mehta, Vihang0000-0001-7166-6035
Baronchelli, Ivano0000-0003-0556-2929
Dai, Sophia0000-0002-7928-416X
Hathi, Nimish0000-0001-6145-5090
Henry, Alaina0000-0002-6586-4446
Malkan, Matthew0000-0001-6919-1237
Rafelski, Marc0000-0002-9946-4731
Teplitz, Harry0000-0002-7064-5424
Zanella, Anita0000-0001-8600-7008
Lintott, Chris0000-0001-5578-359X
Additional Information:© 2018 American Astronomical Society. Received 2018 June 25; Accepted 2018 July 4; Published 2018 July 11. HD, CS, and LF acknowledge partial support from the US National Science Foundation Grant AST-1413610. Support for HST Programs GO-11696, 12283, 12568, 12902, 13517, 13352, and 14178 was provided by NASA through grants from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS5-26555. This publication uses data generated via the platform, development of which is funded by generous support, including a Global Impact Award from Google, and by a grant from the Alfred P. Sloan Foundation.
Funding AgencyGrant Number
Alfred P. Sloan FoundationUNSPECIFIED
Subject Keywords:galaxies: general; methods: data analysis; editorials, notices; techniques: spectroscopic
Issue or Number:3
Record Number:CaltechAUTHORS:20180713-161510310
Persistent URL:
Official Citation:Hugh Dickinson et al 2018 Res. Notes AAS 2 120
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:87857
Deposited By: Tony Diaz
Deposited On:13 Jul 2018 23:31
Last Modified:16 Nov 2021 00:21

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