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20 April 2024 |
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Article overview
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Space Warps: I. Crowd-sourcing the Discovery of Gravitational Lenses | | Phil Marshall
; Aprajita Verma
; Anupreeta More
; Chris Davis
; Surhud More
; Amit Kapadia
; Michael Parrish
; Chris Snyder
; Julianne Wilcox
; Elisabeth Baeten
; Christine Macmillan
; Claude Cornen
; Michael Baumer
; Edwin Simpson
; Chris Lintott
; David Miller
; Edward Paget
; Robert Simpson
; Arfon Smith
; Rafael Kueng
; Prasenjit Saha
; Tom Collett
; Matthias Tecza
; | | Date: |
21 Apr 2015 | | Abstract: | We describe Space Warps, a novel gravitational lens discovery service that
yields samples of high purity and completeness through crowd-sourced visual
inspection. Carefully produced colour composite images are displayed to
volunteers via a classi- fication interface which records their estimates of
the positions of candidate lensed features. Simulated lenses, and
expert-classified images which lack lenses, are inserted into the image stream
at random intervals; this training set is used to give the vol- unteers
feedback on their performance, as well as to calibrate it in order to allow
dynamical updates to the probability of any image they classify to contain a
lens. Low probability systems are retired from the site periodically,
concentrating the sample towards a set of candidates. Having divided 160 square
degrees of Canada-France- Hawaii Telescope Legacy Survey (CFHTLS) imaging into
some 430,000 overlapping 84 by 84 arcsecond tiles and displaying them on the
site, we were joined by around 37,000 volunteers who contributed 11 million
image classifications over the course of 8 months. The sample was reduced to
3368 Stage I candidates; these were then refined to yield a sample that we
expect to be over 90% complete and 30% pure. We comment on the scalability of
the Space Warps system to the wide field survey era, based on our finding that
searches of 10$^5$ images can be performed by a crowd of 10$^5$ volunteers in 6
days. | | Source: | arXiv, 1504.6148 | | Services: | Forum | Review | PDF | Favorites | |
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