335 citations · 1.4k across the 28 of their papers we have counts for
28 papers
NGTS-EB-8: A double-lined eclipsing M+M binary discovered by citizen scientists
Sean M. O'Brien, Megan E. Schwamb, Christopher A. Watson +54
We report the identification and characterization of a new binary system composed of two near-equal mass M-dwarfs. The binary NGTS-EB-8 was identified as a planet candidate in data…
Planet Hunters NGTS: New Planet Candidates from a Citizen Science Search of the Next Generation Transit Survey Public Data
Sean M. O'Brien, Megan E. Schwamb, Samuel Gill +35
We present the results from the first two years of the Planet Hunters NGTS citizen science project, which searches for transiting planet candidates in data from the Next Generation…
Workforce Development in Astronomy and Astroinformatics
Kartik Sheth, Kevin Govender, Vanessa McBride +8
Policy Brief on "Workforce Development in Astronomy and Astroinformatics", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astr…
AstroInformatics: Recommendations for Global Cooperation
Ashish Mahabal, Pranav Sharma, Rana Adhikari +45
Policy Brief on "AstroInformatics, Recommendations for Global Collaboration", distilled from panel discussions during S20 Policy Webinar on Astroinformatics for Sustainable Develop…
TCuPGAN: A novel framework developed for optimizing human-machine interactions in citizen science
Ramanakumar Sankar, Kameswara Mantha, Lucy Fortson +8
In the era of big data in scientific research, there is a necessity to leverage techniques which reduce human effort in labeling and categorizing large datasets by involving sophis…
Gravity Spy: Lessons Learned and a Path Forward
Michael Zevin, Corey B. Jackson, Zoheyr Doctor +23
The Gravity Spy project aims to uncover the origins of glitches, transient bursts of noise that hamper analysis of gravitational-wave data. By using both the work of citizen-scienc…
From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model
Kameswara Bharadwaj Mantha, Ramanakumar Sankar, Yuping Zheng +11
Many scientific domains gather sufficient labels to train machine algorithms through human-in-the-loop techniques provided by the Zooniverse.org citizen science platform. As the ra…
Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning
S Soni, C P L Berry, S B Coughlin +18
The observation of gravitational waves is hindered by the presence of transient noise (glitches). We study data from the third observing run of the Advanced LIGO detectors, and ide…
Planet Hunters TESS II: Findings from the first two years of TESS
Nora L. Eisner, Oscar Barragán, Chris Lintott +23
We present the results from the first two years of the Planet Hunters TESS citizen science project, which identifies planet candidates in the TESS data by engaging members of the g…
Survey of Gravitationally-lensed Objects in HSC Imaging (SuGOHI). VI. Crowdsourced lens finding with Space Warps
Alessandro Sonnenfeld, Aprajita Verma, Anupreeta More +19
Strong lenses are extremely useful probes of the distribution of matter on galaxy and cluster scales at cosmological distances, but are rare and difficult to find. The number of cu…
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan"
J. Amundson, J. Annis, C. Avestruz +27
We present a response to the 2018 Request for Information (RFI) from the NITRD, NCO, NSF regarding the "Update to the 2016 National Artificial Intelligence Research and Development…
Classifying the unknown: discovering novel gravitational-wave detector glitches using similarity learning
S B Coughlin, S Bahaadini, N Rohani +17
The observation of gravitational waves from compact binary coalescences by LIGO and Virgo has begun a new era in astronomy. A critical challenge in making detections is determining…
Optimizing the Human-Machine Partnership with Zooniverse
Lucy Fortson, Darryl Wright, Chris Lintott +1
Over the past decade, Citizen Science has become a proven method of distributed data analysis, enabling research teams from diverse domains to solve problems involving large quanti…
Floating Forests: Quantitative Validation of Citizen Science Data Generated From Consensus Classifications
Isaac S. Rosenthal, Jarrett E. K. Byrnes, Kyle C. Cavanaugh +10
Large-scale research endeavors can be hindered by logistical constraints limiting the amount of available data. For example, global ecological questions require a global dataset, a…
A transient search using combined human and machine classifications
Darryl E. Wright, Chris J. Lintott, Stephen J. Smartt +22
Large modern surveys require efficient review of data in order to find transient sources such as supernovae, and to distinguish such sources from artefacts and noise. Much effort h…
The First Brown Dwarf Discovered by the Backyard Worlds: Planet 9 Citizen Science Project
Marc J. Kuchner, Jacqueline K. Faherty, Adam C. Schneider +9
The Wide-field Infrared Survey Explorer (WISE) is a powerful tool for finding nearby brown dwarfs and searching for new planets in the outer solar system, especially with the incor…
Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science
Michael Zevin, Scott Coughlin, Sara Bahaadini +15
(abridged for arXiv) With the first direct detection of gravitational waves, the Advanced Laser Interferometer Gravitational-wave Observatory (LIGO) has initiated a new field of as…
A Spectroscopic Survey of WISE-selected Obscured Quasars with the Southern African Large Telescope
Kevin N. Hainline, Ryan C. Hickox, Christopher M. Carroll +3
We present the results of an optical spectroscopic survey of a sample of 40 candidate obscured quasars identified on the basis of their mid-infrared emission detected by the Wide-F…
Testing for a large local void by investigating the Near-Infrared Galaxy Luminosity Function
R. C. Keenan, A. J. Barger, L. L. Cowie +3
Recent cosmological modeling efforts have shown that a local underdensity on scales of a few hundred Mpc (out to z ~ 0.1), could produce the apparent acceleration of the expansion…
The OPTX Project V: Identifying Distant AGNs
L. Trouille, A. J. Barger, C. Tremonti
The Baldwin, Phillips, and Terlevich emission-line ratio diagnostic ([OIII]/Hβ versus [NII]/Hα, hereafter BPT diagram) efficiently separates galaxies whose signal is dominated by s…
Gravitational-wave Science in the High School Classroom
Benjamin Farr, GionMatthias Schelbert, Laura Trouille
This article describes a set of curriculum modifications designed to integrate gravitational-wave science into a high school physics or astronomy curriculum. Gravitational-wave sci…
An Atlas of z=5.7 and z=6.5 Ly alpha Emitters
E. M. Hu, L. L. Cowie, A. J. Barger +3
We present an atlas of 88 z~5.7 and 30 z~6.5 Ly alpha emitters obtained from a wide-field narrowband survey. We combined deep narrowband imaging in 120A bandpass filters centered a…
The OPTX Project IV: How Reliable is [OIII] as a Measure of AGN Activity?
L. Trouille, A. J. Barger
We compare optical and hard X-ray identifications of AGNs using a uniformly selected (above a flux limit of f_2-8 keV = 3.5e-15 erg/cm2/s) and highly optically spectroscopically co…
An Extremely Deep Wide-Field Near-Infrared Survey: Bright Galaxy Counts and Local Large Scale Structure
R. C. Keenan, L. Trouille, A. J. Barger +2
We present a deep, wide-field near-infrared (NIR) survey over five widely separated fields at high Galactic latitude covering a total of ~ 3 deg^2 in J, H, and Ks. The deepest area…