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Title: VDES J2325-5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning

Abstract

We present the discovery and preliminary characterization of a gravitationally lensed quasar with a source redshift zs = 2.74 and image separation of 2.9 arcsec lensed by a foreground zl = 0.40 elliptical galaxy. Since optical observations of gravitationally lensed quasars show the lens system as a superposition of multiple point sources and a foreground lensing galaxy, we have developed a morphology-independent multi-wavelength approach to the photometric selection of lensed quasar candidates based on Gaussian Mixture Models (GMM) supervised machine learning. Using this technique and gi multicolour photometric observations from the Dark Energy Survey (DES), near-IR JK photometry from the VISTA Hemisphere Survey (VHS) and WISE mid-IR photometry, we have identified a candidate system with two catalogue components with iAB = 18.61 and iAB = 20.44 comprising an elliptical galaxy and two blue point sources. Spectroscopic follow-up with NTT and the use of an archival AAT spectrum show that the point sources can be identified as a lensed quasar with an emission line redshift of z = 2.739 ± 0.003 and a foreground early-type galaxy with z = 0.400 ± 0.002. We model the system as a single isothermal ellipsoid and find the Einstein radius θE ~ 1.47 arcsec, enclosedmore » mass Menc ~ 4 × 1011 M⊙ and a time delay of ~52 d. The relatively wide separation, month scale time delay duration and high redshift make this an ideal system for constraining the expansion rate beyond a redshift of 1.« less

Authors:
 [1];  [2];  [3];  [2];  [4];  [2];  [5];  [4];  [6];  [2];  [7];  [8];  [9];  [10];  [7];  [11];  [12];  [13];  [14];  [11] more »;  [15];  [7];  [15];  [16];  [7];  [7];  [17];  [18];  [19];  [20];  [21];  [12];  [7];  [22];  [23];  [24];  [7];  [25];  [7];  [11];  [26];  [27];  [28];  [29];  [11];  [30];  [31];  [32];  [33];  [34];  [7];  [33];  [7];  [35];  [36];  [19];  [37];  [7];  [23] « less
  1. Univ. of Cambridge (United Kingdom). Inst. of Astronomy. Kavli Inst. for Cosmology; CAPES Foundation, Brasilia (Brazil)
  2. Univ. of Cambridge (United Kingdom). Inst. of Astronomy. Kavli Inst. for Cosmology
  3. Univ. of Cambridge (United Kingdom). Inst. of Astronomy; Univ. of Washington, Seattle, WA (United States). Dept. of Astronomy
  4. Univ. of Cambridge (United Kingdom). Inst. of Astronomy
  5. Univ. of Cambridge (United Kingdom). Inst. of Astronomy. Centre for Mathematical Sciences. Dept. of Applied Mathematics and Theoretical Physics (DAMTP)
  6. Univ. of Wollongong, NSW (Australia). School of Physics; Australian Astronomical Observatory, North Ryde, NSW (Australia)
  7. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  8. National Centre for Scientific Research (CNRS), Paris (France). Inst. of Astrophysics; Univ. College London (United Kingdom). Dept. of Physics and Astronomy; Sorbonne Univ., Paris (France). Inst. of Astrophysics
  9. National Centre for Scientific Research (CNRS), Paris (France). Inst. of Astrophysics; Sorbonne Univ., Paris (France). Inst. of Astrophysics
  10. Univ. College London (United Kingdom). Dept. of Physics and Astronomy
  11. Inter-Institutional Astronomy Lab (LIneA), Rio de Janeiro (Brazil); National Observatory, Rio de Janeiro (Brazil)
  12. Univ. of Illinois, Urbana, IL (United States). Dept. of Astronomy; National Center for Supercomputing Applications (NCSA), Urbana, IL (United States)
  13. IEEC-CSIC, Barcelona (Spain). Inst. of Space Sciences; The Barcelona Inst. of Science and Technology, Barcelona (Spain). Inst. of High Energy Physics
  14. Stanford Univ., CA (United States). Kavli Inst. for Particle Astrophysics and Cosmology
  15. Excellence Cluster Universe, Garching (Germany); Ludwig Maximilian Univ., Munich (Germany). Faculty of Physics
  16. Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Astronomy. Dept. of Physics
  17. IEEC-CSIC, Barcelona (Spain). Inst. of Space Sciences
  18. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics
  19. Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Physics
  20. Univ. of California, Berkeley, CA (United States). Dept. of Astronomy; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  21. Stanford Univ., CA (United States). Kavli Inst. for Particle Astrophysics and Cosmology; SLAC National Accelerator Lab., Menlo Park, CA (United States)
  22. The Ohio State Univ., Columbus, OH (United States). Center for Cosmology and Astro-Particle Physics. Dept. of Physics
  23. National Optical Astronomy Observatory, La Serena (Chile). Cerro Tololo Inter-American Observatory
  24. Australian Astronomical Observatory, North Ryde, NSW (Australia)
  25. Inter-Institutional Astronomy Lab (LIneA), Rio de Janeiro (Brazil); Univ. of Sao Paulo (Brazil). Inst. of Physics. Dept. of Mathematical Physics
  26. Texas A & M Univ., College Station, TX (United States). George P. and Cynthia Woods Mitchell Inst. for Fundamental Physics and Astronomy. Dept. of Physics and Astronomy
  27. The Ohio State Univ., Columbus, OH (United States). Center for Cosmology and Astro-Particle Physics. Dept. of Astronomy
  28. Princeton Univ., NJ (United States). Dept. of Astrophysical Sciences
  29. The Barcelona Inst. of Science and Technology, Barcelona (Spain). Inst. of High Energy Physics; Catalan Institution for Research and Advanced Studies, Barcelona (Spain)
  30. California Inst. of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab.
  31. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  32. Univ. of Sussex, Brighton (United Kingdom). Dept. of Physics and Astronomy
  33. Center for Energy, Environmental and Technological Research (CIEMAT), Madrid (Spain)
  34. Inter-Institutional Astronomy Lab (LIneA), Rio de Janeiro (Brazil); Federal Univ. of Rio Grande do Sul (UFRGS), Porto Alegre (Brazil). Inst. of Physics
  35. Inter-Institutional Astronomy Lab (LIneA), Rio de Janeiro (Brazil); Sao Paulo State Univ. (Brazil). Inst. of Theoretical Physics. ICTP South American Inst. for Fundamental Research
  36. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computer Science and Mathematics Division
  37. Univ. of Portsmouth (United Kingdom). Inst. of Cosmology and Gravitation
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Org.:
DES
OSTI Identifier:
1340464
Alternate Identifier(s):
OSTI ID: 1353198; OSTI ID: 1353386
Report Number(s):
arXiv:1607.01391; FERMILAB-PUB-16-220
Journal ID: ISSN 0035-8711; KJ0402000; KJ0503000; ERKJ311; ERKJEPM; TRN: US1701242
Grant/Contract Number:  
AC05-00OR22725; AST-1138766; AYA2012-39559; ESP2013-48274; FPA2013-47986; SEV-2012-0234; 240672; 291329; 306478; A/2013A/018; A/2013B/001; AC02-76SF00515; AC02-07CH11359
Resource Type:
Accepted Manuscript
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Volume: 465; Journal Issue: 4; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; strong gravitational lensing; quasars; observational methods; statistical methods

Citation Formats

Ostrovski, Fernanda, McMahon, Richard G., Connolly, Andrew J., Lemon, Cameron A., Auger, Matthew W., Banerji, Manda, Hung, Johnathan M., Koposov, Sergey E., Lidman, Christopher E., Reed, Sophie L., Allam, Sahar, Benoit-Lévy, Aurélien, Bertin, Emmanuel, Brooks, David, Buckley-Geer, Elizabeth, Carnero Rosell, Aurelio, Carrasco Kind, Matias, Carretero, Jorge, Cunha, Carlos E., da Costa, Luiz N., Desai, Shantanu, Diehl, H. Thomas, Dietrich, Jörg P., Evrard, August E., Finley, David A., Flaugher, Brenna, Fosalba, Pablo, Frieman, Josh, Gerdes, David W., Goldstein, Daniel A., Gruen, Daniel, Gruendl, Robert A., Gutierrez, Gaston, Honscheid, Klaus, James, David J., Kuehn, Kyler, Kuropatkin, Nikolay, Lima, Marcos, Lin, Huan, Maia, Marcio A. G., Marshall, Jennifer L., Martini, Paul, Melchior, Peter, Miquel, Ramon, Ogando, Ricardo, Plazas Malagón, Andrés, Reil, Kevin, Romer, Kathy, Sanchez, Eusebio, Santiago, Basilio, Scarpine, Vic, Sevilla-Noarbe, Ignacio, Soares-Santos, Marcelle, Sobreira, Flavia, Suchyta, Eric, Tarle, Gregory, Thomas, Daniel, Tucker, Douglas L., and Walker, Alistair R. VDES J2325-5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning. United States: N. p., 2016. Web. doi:10.1093/mnras/stw2958.
Ostrovski, Fernanda, McMahon, Richard G., Connolly, Andrew J., Lemon, Cameron A., Auger, Matthew W., Banerji, Manda, Hung, Johnathan M., Koposov, Sergey E., Lidman, Christopher E., Reed, Sophie L., Allam, Sahar, Benoit-Lévy, Aurélien, Bertin, Emmanuel, Brooks, David, Buckley-Geer, Elizabeth, Carnero Rosell, Aurelio, Carrasco Kind, Matias, Carretero, Jorge, Cunha, Carlos E., da Costa, Luiz N., Desai, Shantanu, Diehl, H. Thomas, Dietrich, Jörg P., Evrard, August E., Finley, David A., Flaugher, Brenna, Fosalba, Pablo, Frieman, Josh, Gerdes, David W., Goldstein, Daniel A., Gruen, Daniel, Gruendl, Robert A., Gutierrez, Gaston, Honscheid, Klaus, James, David J., Kuehn, Kyler, Kuropatkin, Nikolay, Lima, Marcos, Lin, Huan, Maia, Marcio A. G., Marshall, Jennifer L., Martini, Paul, Melchior, Peter, Miquel, Ramon, Ogando, Ricardo, Plazas Malagón, Andrés, Reil, Kevin, Romer, Kathy, Sanchez, Eusebio, Santiago, Basilio, Scarpine, Vic, Sevilla-Noarbe, Ignacio, Soares-Santos, Marcelle, Sobreira, Flavia, Suchyta, Eric, Tarle, Gregory, Thomas, Daniel, Tucker, Douglas L., & Walker, Alistair R. VDES J2325-5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning. United States. https://doi.org/10.1093/mnras/stw2958
Ostrovski, Fernanda, McMahon, Richard G., Connolly, Andrew J., Lemon, Cameron A., Auger, Matthew W., Banerji, Manda, Hung, Johnathan M., Koposov, Sergey E., Lidman, Christopher E., Reed, Sophie L., Allam, Sahar, Benoit-Lévy, Aurélien, Bertin, Emmanuel, Brooks, David, Buckley-Geer, Elizabeth, Carnero Rosell, Aurelio, Carrasco Kind, Matias, Carretero, Jorge, Cunha, Carlos E., da Costa, Luiz N., Desai, Shantanu, Diehl, H. Thomas, Dietrich, Jörg P., Evrard, August E., Finley, David A., Flaugher, Brenna, Fosalba, Pablo, Frieman, Josh, Gerdes, David W., Goldstein, Daniel A., Gruen, Daniel, Gruendl, Robert A., Gutierrez, Gaston, Honscheid, Klaus, James, David J., Kuehn, Kyler, Kuropatkin, Nikolay, Lima, Marcos, Lin, Huan, Maia, Marcio A. G., Marshall, Jennifer L., Martini, Paul, Melchior, Peter, Miquel, Ramon, Ogando, Ricardo, Plazas Malagón, Andrés, Reil, Kevin, Romer, Kathy, Sanchez, Eusebio, Santiago, Basilio, Scarpine, Vic, Sevilla-Noarbe, Ignacio, Soares-Santos, Marcelle, Sobreira, Flavia, Suchyta, Eric, Tarle, Gregory, Thomas, Daniel, Tucker, Douglas L., and Walker, Alistair R. Thu . "VDES J2325-5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning". United States. https://doi.org/10.1093/mnras/stw2958. https://www.osti.gov/servlets/purl/1340464.
@article{osti_1340464,
title = {VDES J2325-5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning},
author = {Ostrovski, Fernanda and McMahon, Richard G. and Connolly, Andrew J. and Lemon, Cameron A. and Auger, Matthew W. and Banerji, Manda and Hung, Johnathan M. and Koposov, Sergey E. and Lidman, Christopher E. and Reed, Sophie L. and Allam, Sahar and Benoit-Lévy, Aurélien and Bertin, Emmanuel and Brooks, David and Buckley-Geer, Elizabeth and Carnero Rosell, Aurelio and Carrasco Kind, Matias and Carretero, Jorge and Cunha, Carlos E. and da Costa, Luiz N. and Desai, Shantanu and Diehl, H. Thomas and Dietrich, Jörg P. and Evrard, August E. and Finley, David A. and Flaugher, Brenna and Fosalba, Pablo and Frieman, Josh and Gerdes, David W. and Goldstein, Daniel A. and Gruen, Daniel and Gruendl, Robert A. and Gutierrez, Gaston and Honscheid, Klaus and James, David J. and Kuehn, Kyler and Kuropatkin, Nikolay and Lima, Marcos and Lin, Huan and Maia, Marcio A. G. and Marshall, Jennifer L. and Martini, Paul and Melchior, Peter and Miquel, Ramon and Ogando, Ricardo and Plazas Malagón, Andrés and Reil, Kevin and Romer, Kathy and Sanchez, Eusebio and Santiago, Basilio and Scarpine, Vic and Sevilla-Noarbe, Ignacio and Soares-Santos, Marcelle and Sobreira, Flavia and Suchyta, Eric and Tarle, Gregory and Thomas, Daniel and Tucker, Douglas L. and Walker, Alistair R.},
abstractNote = {We present the discovery and preliminary characterization of a gravitationally lensed quasar with a source redshift zs = 2.74 and image separation of 2.9 arcsec lensed by a foreground zl = 0.40 elliptical galaxy. Since optical observations of gravitationally lensed quasars show the lens system as a superposition of multiple point sources and a foreground lensing galaxy, we have developed a morphology-independent multi-wavelength approach to the photometric selection of lensed quasar candidates based on Gaussian Mixture Models (GMM) supervised machine learning. Using this technique and gi multicolour photometric observations from the Dark Energy Survey (DES), near-IR JK photometry from the VISTA Hemisphere Survey (VHS) and WISE mid-IR photometry, we have identified a candidate system with two catalogue components with iAB = 18.61 and iAB = 20.44 comprising an elliptical galaxy and two blue point sources. Spectroscopic follow-up with NTT and the use of an archival AAT spectrum show that the point sources can be identified as a lensed quasar with an emission line redshift of z = 2.739 ± 0.003 and a foreground early-type galaxy with z = 0.400 ± 0.002. We model the system as a single isothermal ellipsoid and find the Einstein radius θE ~ 1.47 arcsec, enclosed mass Menc ~ 4 × 1011 M⊙ and a time delay of ~52 d. The relatively wide separation, month scale time delay duration and high redshift make this an ideal system for constraining the expansion rate beyond a redshift of 1.},
doi = {10.1093/mnras/stw2958},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 4,
volume = 465,
place = {United States},
year = {Thu Nov 17 00:00:00 EST 2016},
month = {Thu Nov 17 00:00:00 EST 2016}
}

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The Wide-Field Infrared Survey Explorer (Wise): Mission Description and Initial On-Orbit Performance
journal, November 2010


OzDES multifibre spectroscopy for the Dark Energy Survey: first-year operation and results
journal, July 2015

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The Seventh Data Release of the Sloan Digital Sky Survey
text, January 2009

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The seventh data release of the sloan digital sky survey
text, January 2009

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SDSS J094604.90+183541.8: A Gravitationally Lensed Quasar at z=4.8
text, January 2010


The Mass Distribution of SDSS J1004+4112 Revisited
text, January 2010


The Wide-field Infrared Survey Explorer (WISE): Mission Description and Initial On-orbit Performance
text, January 2010


A Description of Quasar Variability Measured Using Repeated SDSS and POSS Imaging
text, January 2011


Two accurate time-delay distances from strong lensing: Implications for cosmology
text, January 2012


Quasar Probabilities and Redshifts from WISE mid-IR through GALEX UV Photometry
text, January 2015


Discovery of two gravitationally lensed quasars in the Dark Energy Survey
text, January 2015


The Dark Energy Survey: more than dark energy - an overview
text, January 2016


The Importance of Einstein Rings
text, January 2000


The 2dF QSO Redshift Survey - V. The 10k catalogue
text, January 2001


The Cosmic Lens All-Sky Survey:II. Gravitational lens candidate selection and follow-up
text, January 2002


The Evolution of a Mass-Selected Sample of Early-Type Field Galaxies
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Tests for Substructure in Gravitational Lenses
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A Simple Method To Find All Lensed Quasars
text, January 2005


Works referencing / citing this record:

Surveying the reach and maturity of machine learning and artificial intelligence in astronomy
journal, September 2019

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The strong gravitational lens finding challenge
journal, May 2019


Gaia GraL: Gaia DR2 gravitational lens systems : II. The known multiply imaged quasars⋆
journal, October 2018


Quasi-stellar objects acting as potential strong gravitational lenses in the SDSS-III BOSS survey
journal, May 2019


Auto-detection of strong gravitational lenses using convolutional neural networks
journal, January 2018


Probing dark matter substructure in the gravitational lens HE 0435−1223 with the WFC3 grism
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Finding strong lenses in CFHTLS using convolutional neural networks
journal, June 2017

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Discovery and first models of the quadruply lensed quasar SDSS J1433+6007
journal, November 2017

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Constraining the microlensing effect on time delays with a new time-delay prediction model in H0 measurements
journal, September 2018

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A gravitationally lensed quasar discovered in OGLE
journal, February 2018

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Is every strong lens model unhappy in its own way? Uniform modelling of a sample of 13 quadruply+ imaged quasars
journal, December 2018

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Gravitationally lensed quasars in Gaia – II. Discovery of 24 lensed quasars
journal, April 2018

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H0LiCOW – IX. Cosmographic analysis of the doubly imaged quasar SDSS 1206+4332 and a new measurement of the Hubble constant
journal, January 2019

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Quasar lenses in the south: searches over the DES public footprint
journal, August 2019

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Catalogues of active galactic nuclei from Gaia and unWISE data
journal, September 2019

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A SHARP view of H0LiCOW: H0 from three time-delay gravitational lens systems with adaptive optics imaging
journal, September 2019

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Galaxy morphological classification in deep-wide surveys via unsupervised machine learning
journal, October 2019

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Discovery of three strongly lensed quasars in the Sloan Digital Sky Survey
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The DES Bright Arcs Survey: Hundreds of Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey Science Verification and Year 1 Observations
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Catalogues of active galactic nuclei from Gaia and unWISE data
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Gaia GraL: Gaia DR2 gravitational lens systems : I. New quadruply imaged quasar candidates around known quasars
journal, August 2018


Discovery and first models of the quadruply lensed quasar SDSS J1433+6007
text, January 2017


Finding strong lenses in CFHTLS using convolutional neural networks
text, January 2017


Quasi-Stellar Objects acting as potential Strong Gravitational Lenses in the SDSS-III BOSS survey
text, January 2017


A Gravitationally Lensed Quasar Discovered in OGLE
text, January 2018


The Strong Gravitational Lens Finding Challenge
text, January 2018


Quasar Lenses in the South: searches over the DES public footprint
text, January 2018


A SHARP view of H0LiCOW: $H_{0}$ from three time-delay gravitational lens systems with adaptive optics imaging
text, January 2019


Toward an Internally Consistent Astronomical Distance Scale
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