Related papers: Crowdsourcing quality control for Dark Energy Surv…

Using Dark Energy Explorers and Machine Learning to Enhance the Hobby-Eberly Telescope Dark Energy Experiment

We present analysis using a citizen science campaign to improve the cosmological measures from the Hobby-Eberly Telescope Dark Energy Experiment (HETDEX). The goal of HETDEX is to measure the Hubble expansion rate, $H(z)$, and angular…

Instrumentation and Methods for Astrophysics · Physics 2023-06-28 Lindsay R. House , Karl Gebhardt , Keely Finkelstein , Erin Mentuch Cooper , Dustin Davis , Robin Ciardullo , Daniel J Farrow , Steven L. Finkelstein , Caryl Gronwall , Donghui Jeong , L. Clifton Johnson , Chenxu Liu , Benjamin P. Thomas , Gregory Zeimann

PreCam, a Precursor Observational Campaign for Calibration of the Dark Energy Survey

PreCam, a precursor observational campaign supporting the Dark Energy Survey (DES), is designed to produce a photometric and astrometric catalog of nearly a hundred thousand standard stars within the DES footprint, while the PreCam…

Instrumentation and Methods for Astrophysics · Physics 2015-06-11 K. Kuehn , S. Kuhlmann , S. Allam , J. T. Annis , T. Bailey , E. Balbinot , J. P. Bernstein , T. Biesiadzinski , D. L. Burke , M. Butner , J. I. B. Camargo , L. A. N. da Costa , D. DePoy , H. T. Diehl , J. P. Dietrich , J. Estrada , A. Fausti , B. Gerke , V. Guarino , H. H. Head , R. Kessler , H. Lin , W. Lorenzon , M. A. G. Maia , L. Maki , J. Marshall , B. Nord , E. Neilsen , R. L. C. Ogando , D. Park , J. Peoples , D. Rastawicki , J. -P. Rheault , B. Santiago , M. Schubnell , P. Seitzer , J. A. Smith , H. Spinka , A. Sypniewski , G. Tarle , D. L. Tucker , A. Walker , W. Wester

CrowdGrader: Crowdsourcing the Evaluation of Homework Assignments

Crowdsourcing offers a practical method for ranking and scoring large amounts of items. To investigate the algorithms and incentives that can be used in crowdsourcing quality evaluations, we built CrowdGrader, a tool that lets students…

Social and Information Networks · Computer Science 2013-08-27 Luca de Alfaro , Michael Shavlovsky

CDAS: A Crowdsourcing Data Analytics System

Some complex problems, such as image tagging and natural language processing, are very challenging for computers, where even state-of-the-art technology is yet able to provide satisfactory accuracy. Therefore, rather than relying solely on…

Databases · Computer Science 2012-07-03 Xuan Liu , Meiyu Lu , Beng Chin Ooi , Yanyan Shen , Sai Wu , Meihui Zhang

PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites

Website owners make conscious and unconscious decisions that affect their users, potentially exposing them to privacy and security risks in the process. In this paper we introduce PrivacyScore, an automated website scanning portal that…

Cryptography and Security · Computer Science 2017-10-12 Max Maass , Pascal Wichmann , Henning Pridöhl , Dominik Herrmann

A Unified Photometric Redshift Calibration for Weak Lensing Surveys using the Dark Energy Spectroscopic Instrument

The effective redshift distribution $n(z)$ of galaxies is a critical component in the study of weak gravitational lensing. Here, we introduce a new method for determining $n(z)$ for weak lensing surveys based on high-quality redshifts and…

Cosmology and Nongalactic Astrophysics · Physics 2025-12-30 Johannes U. Lange , Diana Blanco , Alexie Leauthaud , Angus Wright , Abigail Fisher , Joshua Ratajczak , Jessica Nicole Aguilar , Steven Ahlen , Stephen Bailey , Davide Bianchi , Chris Blake , David Brooks , Todd Claybaugh , Andrei Cuceu , Kyle Dawson , Axel de la Macorra , Joseph DeRose , Arjun Dey , Peter Doel , Ni Putu Audita Placida Emas , Simone Ferraro , Andreu Font-Ribera , Jaime E. Forero-Romero , Cristhian Garcia-Quintero , Enrique Gaztañaga , Satya Gontcho A Gontcho , Gaston Gutierrez , Sven Heydenreich , Hendrik Hildebrandt , Mustapha Ishak , Jorge Jimenez , Shahab Joudaki , Robert Kehoe , David Kirkby , Theodore Kisner , Anthony Kremin , Ofer Lahav , Claire Lamman , Martin Landriau , Laurent Le Guillou , Michael Levi , Leonel Medina Varela , Aaron Meisner , Ramon Miquel , John Moustakas , Seshadri Nadathur , Jeffrey A. Newman , Nathalie Palanque-Delabrouille , Anna Porredon , Francisco Prada , Ignasi Pérez-Ràfols , Graziano Rossi , Rossana Ruggeri , Eusebio Sanchez , Christoph Saulder , David Schlegel , Michael Schubnell , David Sprayberry , Zechang Sun , Gregory Tarlé , Benjamin Alan Weaver , Sihan Yuan , Pauline Zarrouk , Hu Zou

The Dark Energy Survey Data Release 2

We present the second public data release of the Dark Energy Survey, DES DR2, based on optical/near-infrared imaging by the Dark Energy Camera mounted on the 4-m Blanco telescope at Cerro Tololo Inter-American Observatory in Chile. DES DR2…

Instrumentation and Methods for Astrophysics · Physics 2021-10-22 DES Collaboration , T. M. C. Abbott , M. Adamow , M. Aguena , S. Allam , A. Amon , J. Annis , S. Avila , D. Bacon , M. Banerji , K. Bechtol , M. R. Becker , G. M. Bernstein , E. Bertin , S. Bhargava , S. L. Bridle , D. Brooks , D. L. Burke , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , R. Cawthon , C. Chang , A. Choi , C. Conselice , M. Costanzi , M. Crocce , L. N. da Costa , T. M. Davis , J. De Vicente , J. DeRose , S. Desai , H. T. Diehl , J. P. Dietrich , A. Drlica-Wagner , K. Eckert , J. Elvin-Poole , S. Everett , A. E. Evrard , I. Ferrero , A. Ferté , B. Flaugher , P. Fosalba , D. Friedel , J. Frieman , J. García-Bellido , L. Gelman , D. W. Gerdes , T. Giannantonio , M. Gill , D. Gruen , R. A. Gruendl , J. Gschwend , G. Gutierrez , W. G. Hartley , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. Huterer , D. J. James , T. Jeltema , M. D. Johnson , S. Kent , R. Kron , K. Kuehn , N. Kuropatkin , O. Lahav , T. S. Li , C. Lidman , H. Lin , N. MacCrann , M. A. G. Maia , T. Manning , M. March , J. L. Marshall , P. Martini , P. Melchior , F. Menanteau , R. Miquel , R. Morgan , J. Myles , E. Neilsen , R. L. C. Ogando , A. Palmese , F. Paz-Chinchón , D. Petravick , A. Pieres , A. A. Plazas , C. Pond , M. Rodriguez-Monroy , A. K. Romer , A. Roodman , E. S. Rykoff , M. Sako , E. Sanchez , B. Santiago , S. Serrano , I. Sevilla-Noarbe , J. Allyn. Smith , M. Smith , M. Soares-Santos , E. Suchyta , M. E. C. Swanson , G. Tarle , D. Thomas , C. To , P. E. Tremblay , M. A. Troxel , D. L. Tucker , D. J Turner , T. N. Varga , A. R. Walker , R. H. Wechsler , J. Weller , W. Wester , R. D. Wilkinson , B. Yanny , Y. Zhang , R. Nikutta , M. Fitzpatrick , A. Jacques , A. Scott , K. Olsen , L. Huang , D. Herrera , S. Juneau , D. Nidever , B. A. Weaver , C. Adean , V. Correia , M. de Freitas , F. N. Freitas , C. Singulani , G. Vila-Verde

Dark Energy Survey Year 1 Results: Galaxy-Galaxy Lensing

We present galaxy-galaxy lensing measurements from 1321 sq. deg. of the Dark Energy Survey (DES) Year 1 (Y1) data. The lens sample consists of a selection of 660,000 red galaxies with high-precision photometric redshifts, known as redMaGiC,…

Cosmology and Nongalactic Astrophysics · Physics 2018-09-05 J. Prat , C. Sánchez , Y. Fang , D. Gruen , J. Elvin-Poole , N. Kokron , L. F. Secco , B. Jain , R. Miquel , N. MacCrann , M. A. Troxel , A. Alarcon , D. Bacon , G. M. Bernstein , J. Blazek , R. Cawthon , C. Chang , M. Crocce , C. Davis , J. De Vicente , J. P. Dietrich , A. Drlica-Wagner , O. Friedrich , M. Gatti , W. G. Hartley , B. Hoyle , E. M. Huff , M. Jarvis , M. M. Rau , R. P. Rollins , A. J. Ross , E. Rozo , E. S. Rykoff , S. Samuroff , E. Sheldon , T. N. Varga , P. Vielzeuf , J. Zuntz , T. M. C. Abbott , F. B. Abdalla , S. Allam , J. Annis , K. Bechtol , A. Benoit-Lévy , E. Bertin , D. Brooks , E. Buckley-Geer , D. L. Burke , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , C. E. Cunha , C. B. D'Andrea , L. N. da Costa , S. Desai , H. T. Diehl , S. Dodelson , T. F. Eifler , E. Fernandez , B. Flaugher , P. Fosalba , J. Frieman , J. García-Bellido , E. Gaztanaga , D. W. Gerdes , T. Giannantonio , D. A. Goldstein , R. A. Gruendl , J. Gschwend , G. Gutierrez , K. Honscheid , D. J. James , T. Jeltema , M. W. G. Johnson , M. D. Johnson , D. Kirk , E. Krause , K. Kuehn , S. Kuhlmann , O. Lahav , T. S. Li , M. Lima , M. A. G. Maia , M. March , J. L. Marshall , P. Martini , P. Melchior , F. Menanteau , J. J. Mohr , R. C. Nichol , B. Nord , A. A. Plazas , A. K. Romer , A. Roodman , M. Sako , E. Sanchez , V. Scarpine , R. Schindler , M. Schubnell , I. Sevilla-Noarbe , M. Smith , R. C. Smith , M. Soares-Santos , F. Sobreira , E. Suchyta , M. E. C. Swanson , G. Tarle , D. Thomas , D. L. Tucker , V. Vikram , A. R. Walker , R. H. Wechsler , B. Yanny , Y. Zhang

An X-ray Galaxy Cluster Survey for Investigations of Dark Energy

The amount and nature of dark energy (DE) can be tightly constrained by measuring the spatial correlation features and evolution of a sample of ~ 100,000 galaxy clusters over the redshift range 0<z < 1.5. Such an X-ray survey will discover…

Astrophysics · Physics 2007-05-23 Z. Haiman , S. Allen , N. Bahcall , M. Bautz , H. Boehringer , S. Borgani , G. Bryan , B. Cabrera , C. Canizares , O. Citterio , A. Evrard , A. Finoguenov , R. Griffiths , G. Hasinger , P. Henry , K. Jahoda , G. Jernigan , S. Kahn , D. Lamb , S. Majumdar , J. Mohr , S. Molendi , R. Mushotzky , G. Pareschi , J. Peterson , R. Petre , P. Predehl , A. Rasmussen , G. Ricker , P. Ricker , P. Rosati , A. Sanderson , A. Stanford , M. Voit , S. Wang , N. White , S. White

Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument

Millions of quasar spectra will be collected by the Dark Energy Spectroscopic Instrument (DESI), leading to a four-fold increase in the number of known quasars. High accuracy quasar classification is essential to tighten constraints on…

Instrumentation and Methods for Astrophysics · Physics 2023-07-26 Allyson Brodzeller , Kyle Dawson , Stephen Bailey , Jiaxi Yu , A. J. Ross , A. Bault , S. Filbert , J. Aguilar , S. Ahlen , David M. Alexander , E. Armengaud , A. Berti , D. Brooks , E. Chaussidon , A. de la Macorra , P. Doel , K. Fanning , V. A. Fawcett , A. Font-Ribera , S. Gontcho A Gontcho , J. Guy , K. Honscheid , S. Juneau , R. Kehoe , T. Kisner , Anthony Kremin , Ting-Wen Lan , M. Landriau , Michael E. Levi , C. Magneville , Paul Martini , Aaron M. Meisner , R. Miquel , J. Moustakas , N. Palanque-Delabrouille , W. J. Percival , F. Prada , C. Ravoux , Graziano Rossi , C. Saulder , M. Siudek , Gregory Tarlé , B. A. Weaver , S. Youles , Zheng Zheng , Rongpu Zhou , Zhimin Zhou

The Dark Energy Spectrometer (DESpec): A Multi-Fiber Spectroscopic Upgrade of the Dark Energy Camera and Survey for the Blanco Telescope

We describe an initiative to build and use the Dark Energy Spectrometer (DESpec), a wide-field spectroscopic survey instrument for the Blanco 4 meter telescope at Cerro Tololo InterAmerican Observatory (CTIO) in Chile. A new system with…

Cosmology and Nongalactic Astrophysics · Physics 2012-09-13 F. Abdalla , J. Annis , D. Bacon , S. Bridle , F. Castander , M. Colless , D. DePoy , H. T. Diehl , M. Eriksen , B. Flaugher , J. Frieman , E. Gaztanaga , C. Hogan , S. Jouvel , S. Kent , D. Kirk , R. Kron , S. Kuhlmann , O. Lahav , J. Lawrence , H. Lin , J. Marriner , J. Marshall , J. Mohr , R. C. Nichol , M. Sako , W. Saunders , M. Soares-Santos , D. Thomas , R. Wechsler , A. West , H. Wu

What Shapes Participant Data Quality? A Scoping Review and Case Study of Crowdsourced Webcam Eye Tracking in AI Interviews

Webcam-based eye tracking is a cost-effective, scalable method for remote research that effectively reaches broader populations. However, uncontrolled environments and hardware diversity lead to inconsistent data quality in crowdsourcing.…

Human-Computer Interaction · Computer Science 2026-05-06 Ka Hei Carrie Lau , Enkelejda Kasneci

Synthetic Galaxy Clusters and Observations Based on Dark Energy Survey Year 3 Data

We develop a novel data-driven method for generating synthetic optical observations of galaxy clusters. In cluster weak lensing, the interplay between analysis choices and systematic effects related to source galaxy selection, shape…

Cosmology and Nongalactic Astrophysics · Physics 2022-02-01 T. N. Varga , D. Gruen , S. Seitz , N. MacCrann , E. Sheldon , W. G. Hartley , A. Amon , A. Choi , A. Palmese , Y. Zhang , M. R. Becker , J. McCullough , E. Rozo , E. S. Rykoff , C. To , S. Grandis , G. M. Bernstein , S. Dodelson , K. Eckert , S. Everett , R. A. Gruendl , I. Harrison , K. Herner , R. P. Rollins , I. Sevilla-Noarbe , M. A. Troxel , B. Yanny , J. Zuntz , H. T. Diehl , M. Jarvis , M. Aguena , S. Allam , J. Annis , E. Bertin , S. Bhargava , D. Brooks , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , M. Costanzi , L. N. da Costa , M. E. S. Pereira , J. De Vicente , S. Desai , J. P. Dietrich , I. Ferrero , B. Flaugher , J. Garcia-Bellido , E. Gaztanaga , D. W. Gerdes , J. Gschwend , G. Gutierrez , S. R. Hinton , K. Honscheid , T. Jeltema , K. Kuehn , N. Kuropatkin , M. A. G. Maia , M. March , P. Melchior , F. Menanteau , R. Miquel , R. Morgan , J. Myles , F. Paz-Chinchon , A. A. Plazas , A. K. Romer , E. Sanchez , V. Scarpine , M. Schubnell , S. Serrano , M. Smith , M. Soares-Santos , E. Suchyta , M. E. C. Swanson , G. Tarle , D. Thomas , J. Weller

Automated Corrosion Detection Using Crowd Sourced Training for Deep Learning

The automated detection of corrosion from images (i.e., photographs) or video (i.e., drone footage) presents significant advantages in terms of corrosion monitoring. Such advantages include access to remote locations, mitigation of risk to…

Human-Computer Interaction · Computer Science 2019-08-08 W. T. Nash , C. J. Powell , T. Drummond , N. Birbilis

Cross-Correlation Redshift Calibration Without Spectroscopic Calibration Samples in DES Science Verification Data

Galaxy cross-correlations with high-fidelity redshift samples hold the potential to precisely calibrate systematic photometric redshift uncertainties arising from the unavailability of complete and representative training and validation…

Cosmology and Nongalactic Astrophysics · Physics 2018-04-11 C. Davis , E. Rozo , A. Roodman , A. Alarcon , R. Cawthon , M. Gatti , H. Lin , R. Miquel , E. S. Rykoff , M. A. Troxel , P. Vielzeuf , T. M. C. Abbott , F. B. Abdalla , S. Allam , J. Annis , K. Bechtol , A. Benoit-Lévy , E. Bertin , D. Brooks , E. Buckley-Geer , D. L. Burke , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , M. Crocce , C. E. Cunha , C. B. D'Andrea , L. N. da Costa , S. Desai , H. T. Diehl , P. Doel , A. Drlica-Wagner , A. Fausti Neto , B. Flaugher , P. Fosalba , J. Frieman , J. García-Bellido , E. Gaztanaga , D. W. Gerdes , T. Giannantonio , D. Gruen , R. A. Gruendl , G. Gutierrez , K. Honscheid , B. Jain , D. J. James , T. Jeltema , E. Krause , K. Kuehn , S. Kuhlmann , N. Kuropatkin , O. Lahav , T. S. Li , M. Lima , M. March , J. L. Marshall , P. Martini , P. Melchior , R. L. C. Ogando , A. A. Plazas , A. K. Romer , E. Sanchez , V. Scarpine , R. Schindler , M. Schubnell , I. Sevilla-Noarbe , M. Smith , M. Soares-Santos , F. Sobreira , E. Suchyta , M. E. C. Swanson , G. Tarle , D. Thomas , V. Vikram , A. R. Walker , R. H. Wechsler

Dark Energy Survey Year 6 Results: Clustering-redshifts and importance sampling of Self-Organised-Maps $n(z)$ realizations for $3\times2$pt samples

This work is part of a series establishing the redshift framework for the $3\times2$pt analysis of the Dark Energy Survey Year 6 (DES Y6). For DES Y6, photometric redshift distributions are estimated using self-organizing maps (SOMs),…

Cosmology and Nongalactic Astrophysics · Physics 2026-02-26 W. d'Assignies , G. M. Bernstein , B. Yin , G. Giannini , A. Alarcon , M. Manera , C. To , M. Yamamoto , N. Weaverdyck , R. Cawthon , M. Gatti , A. Amon , D. Anbajagane , S. Avila , M. R. Becker , K. Bechtol , C. Chang , M. Crocce , J. De Vicente , S. Dodelson , J. Fang , A. Ferté , D. Gruen , E. Legnani , A. Porredon , J. Prat , M. Rodriguez-Monroy , C. Sánchez , T. Schutt , I. Sevilla-Noarbe , D. Sanchez Cid , M. A. Troxel , T. M. C. Abbott , F. Andrade-Oliveira , M. Aguena , O. Alves , D. Bacon , J. Blazek , S. Bocquet , D. Brooks , R. Camilleri , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , L. N. da Costa , M. E. da Silva Pereira , T. M. Davis , S. Desai , P. Doel , C. Doux , A. Drlica-Wagner , T. Eifler , J. Elvin-Poole , S. Everett , B. Flaugher , P. Fosalba , J. Frieman , J. Garcia-Bellido , E. Gaztanaga , P. Giles , G. Gutierrez , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. Huterer , B. Jain , D. J. James , K. Kuehn , O. Lahav , S. Lee , J. L. Marshall , J. Mena-Fernandez , F. Menanteau , R. Miquel , J. Muir , J. Myles , R. L. C. Ogando , A. Palmese , M. Paterno , P. Petravick , A. A. Plazas Malagon , M. Raveri , A. Roodman , S. Samuroff , E. Sanchez , E. Sheldon , T. Shin , M. Smith , E. Suchyta , M. E. C. Swanson , G. Tarle , D. Thomas , V. Vikram , A. R. Walker

Survey Operations for the Dark Energy Spectroscopic Instrument

The Dark Energy Spectroscopic Instrument (DESI) survey is a spectroscopic survey of tens of millions of galaxies at $0 < z < 3.5$ covering 14,000 square degrees of the sky. In its first 1.1 years of survey operations, it has observed more…

Cosmology and Nongalactic Astrophysics · Physics 2024-02-16 E. F. Schlafly , D. Kirkby , D. J. Schlegel , A. D. Myers , A. Raichoor , K. Dawson , J. Aguilar , C. Allende Prieto , S. Bailey , S. BenZvi , J. Bermejo-Climent , D. Brooks , A. de la Macorra , Arjun Dey , P. Doel , K. Fanning , A. Font-Ribera , J. E. Forero-Romero , J. García-Bellido , S. Gontcho A Gontcho , J. Guy , C. Hahn , K. Honscheid , M. Ishak , S. Juneau , R. Kehoe , T. Kisner , A. Kremin , M. Landriau , D. A. Lang , J. Lasker , M. E. Levi , C. Magneville , C. J. Manser , P. Martini , A. M. Meisner , R. Miquel , J. Moustakas , J. A. Newman , Jundan Nie , N. Palanque-Delabrouille , W. J. Percival , C. Poppett , C. Rockosi , A. J. Ross , G. Rossi , G. Tarlé , B. A. Weaver , C. Yèche , R. Zhou

Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data

We measure the weak-lensing masses and galaxy distributions of four massive galaxy clusters observed during the Science Verification phase of the Dark Energy Survey. This pathfinder study is meant to 1) validate the DECam imager for the…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-12 P. Melchior , E. Suchyta , E. Huff , M. Hirsch , T. Kacprzak , E. Rykoff , D. Gruen , R. Armstrong , D. Bacon , K. Bechtol , G. M. Bernstein , S. Bridle , J. Clampitt , K. Honscheid , B. Jain , S. Jouvel , E. Krause , H. Lin , N. MacCrann , K. Patton , A. Plazas , B. Rowe , V. Vikram , H. Wilcox , J. Young , J. Zuntz , T. Abbott , F. B. Abdalla , S. S. Allam , M. Banerji , J. P. Bernstein , R. A. Bernstein , E. Bertin , E. Buckley-Geer , D. L. Burke , F. J. Castander , L. N. da Costa , C. E. Cunha , D. L. Depoy , S. Desai , H. T. Diehl , P. Doel , J. Estrada , A. E. Evrard , A. Fausti Neto , E. Fernandez , D. A. Finley , B. Flaugher , J. A. Frieman , E. Gaztanaga , D. Gerdes , R. A. Gruendl , G. R. Gutierrez , M. Jarvis , I. Karliner , S. Kent , K. Kuehn , N. Kuropatkin , O. Lahav , M. A. G. Maia , M. Makler , J. Marriner , J. L. Marshall , K. W. Merritt , C. J. Miller , R. Miquel , J. Mohr , E. Neilsen , R. C. Nichol , B. D. Nord , K. Reil , N. A. Roe , A. Roodman , M. Sako , E. Sanchez , B. X. Santiago , R. Schindler , M. Schubnell , I. Sevilla-Noarbe , E. Sheldon , C. Smith , M. Soares-Santos , M. E. C. Swanson , A. J. Sypniewski , G. Tarle , J. Thaler , D. Thomas , D. L. Tucker , A. Walker , R. Wechsler , J. Weller , W. Wester

Noise from Undetected Sources in Dark Energy Survey Images

For ground-based optical imaging with current CCD technology, the Poisson fluctuations in source and sky background photon arrivals dominate the noise budget and are readily estimated. Another component of noise, however, is the signal from…

Instrumentation and Methods for Astrophysics · Physics 2020-07-29 K. Eckert , G. M. Bernstein , A. Amara , A. Amon , A. Choi , S. Everett , D. Gruen , R. A. Gruendl , E. M. Huff , N. Kuropatkin , A. Roodman , E. Sheldon , B. Yanny , Y. Zhang , T. M. C. Abbott , M. Aguena , S. Avila , K. Bechtol , D. Brooks , D. L. Burke , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , M. Costanzi , L. N. da Costa , J. De Vicente , S. Desai , H. T. Diehl , J. P. Dietrich , T. F. Eifler , A. E. Evrard , B. Flaugher , J. Frieman , J. García-Bellido , E. Gaztanaga , J. Gschwend , G. Gutierrez , W. G. Hartley , D. L. Hollowood , K. Honscheid , D. J. James , R. Kron , K. Kuehn , M. A. G. Maia , J. L. Marshall , P. Melchior , F. Menanteau , R. Miquel , R. L. C. Ogando , A. Palmese , F. Paz-Chinchón , A. A. Plazas , A. K. Romer , E. Sanchez , V. Scarpine , S. Serrano , I. Sevilla-Noarbe , M. Smith , M. Soares-Santos , E. Suchyta , M. E. C. Swanson , G. Tarle , D. Thomas , T. N. Varga , A. R. Walker , W. Wester , R. D. Wilkinson , J. Zuntz , the DES Collaboration

An astronomical image content-based recommendation system using combined deep learning models in a fully unsupervised mode

We have developed a method that maps large astronomical images onto a two-dimensional map and clusters them. A combination of various state-of-the-art machine learning (ML) algorithms is used to develop a fully unsupervised image quality…

Instrumentation and Methods for Astrophysics · Physics 2021-04-28 Hossen Teimoorinia , Sara Shishehchi , Ahnaf Tazwar , Ping Lin , Finn Archinuk , Stephen D. J. Gwyn , J. J. Kavelaars