The AGEL Survey Data Release 2: A Gravitational Lens Sample for Galaxy Evolution and Cosmology
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2025
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| author | Barone, Tania M. C., Keerthi Vasan G. Tran, Kim-Vy Kacprzak, Glenn G. Glazebrook, Karl Jones, Tucker Bowden, Duncan J. Dalessandro, Faith Sahu, Nandini Skobe, Hannah Allen, Rebecca J. Baker, A. Makai Ballard, Daniel J. Chen, Yuguang Collett, Thomas E. Ferrami, Giovanni Gonzalez, Jimena Gottemoller, William Harshan, Anishya Huang, Xiaosheng Iwamoto, Leena Jacobs, Colin Jeltema, Tesla E. Gupta, Kaustubh Rajesh Lewis, Geraint F. Lopez, Sebastian Nanayakkara, Themiya Nielsen, Nikole M. O'Donnell, Jackson Qu, Huimin Rhoades, Sunny Shajib, Anowar Sweet, Sarah M. Tejos, Nicolas |
| author_facet | Barone, Tania M. C., Keerthi Vasan G. Tran, Kim-Vy Kacprzak, Glenn G. Glazebrook, Karl Jones, Tucker Bowden, Duncan J. Dalessandro, Faith Sahu, Nandini Skobe, Hannah Allen, Rebecca J. Baker, A. Makai Ballard, Daniel J. Chen, Yuguang Collett, Thomas E. Ferrami, Giovanni Gonzalez, Jimena Gottemoller, William Harshan, Anishya Huang, Xiaosheng Iwamoto, Leena Jacobs, Colin Jeltema, Tesla E. Gupta, Kaustubh Rajesh Lewis, Geraint F. Lopez, Sebastian Nanayakkara, Themiya Nielsen, Nikole M. O'Donnell, Jackson Qu, Huimin Rhoades, Sunny Shajib, Anowar Sweet, Sarah M. Tejos, Nicolas |
| contents | The ASTRO 3D Galaxy Evolution with Lenses (AGEL) Survey is an ongoing effort to spectroscopically confirm a diverse sample of gravitational lenses with high spatial resolution imaging, to facilitate a broad range of science outcomes. The AGEL systems span single galaxy-scale deflectors to groups and clusters, and include rare targets such as galaxy-scale lenses with multiple sources, lensed quiescent galaxies, and Einstein rings. We build on the 77 systems presented in Tran et al. 2022 (AGEL data release 1) to present a total 138 lenses, and high resolution F140W and F200LP Hubble Space Telescope images for 71 lenses from a completed HST SNAP program. Lens candidates were originally identified by convolutional neural networks in the DES and DECaLS imaging fields, and of the targets with follow-up spectroscopy we find a high (96%) success rate. Compared with other spectroscopic lens samples, AGEL lenses tend to have both higher redshift deflectors and sources. We briefly discuss the common causes of false-positive candidates, and strategies for mitigating false-positives in next generation lens searches. Lastly, we present 6 galaxy-scale double-source plane lenses useful for cosmological analyses. With next-generation telescopes and surveys such as Euclid, Vera Rubin's Legacy Survey of Space and Time, Keck Observatory's KAPA program, and 4MOST's 4SLSLS surveys on the horizon, the AGEL survey represents a pathfinder for refining automated candidate search methods and identifying and triaging candidates for followup based on scientific potential. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_08041 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The AGEL Survey Data Release 2: A Gravitational Lens Sample for Galaxy Evolution and Cosmology Barone, Tania M. C., Keerthi Vasan G. Tran, Kim-Vy Kacprzak, Glenn G. Glazebrook, Karl Jones, Tucker Bowden, Duncan J. Dalessandro, Faith Sahu, Nandini Skobe, Hannah Allen, Rebecca J. Baker, A. Makai Ballard, Daniel J. Chen, Yuguang Collett, Thomas E. Ferrami, Giovanni Gonzalez, Jimena Gottemoller, William Harshan, Anishya Huang, Xiaosheng Iwamoto, Leena Jacobs, Colin Jeltema, Tesla E. Gupta, Kaustubh Rajesh Lewis, Geraint F. Lopez, Sebastian Nanayakkara, Themiya Nielsen, Nikole M. O'Donnell, Jackson Qu, Huimin Rhoades, Sunny Shajib, Anowar Sweet, Sarah M. Tejos, Nicolas Astrophysics of Galaxies The ASTRO 3D Galaxy Evolution with Lenses (AGEL) Survey is an ongoing effort to spectroscopically confirm a diverse sample of gravitational lenses with high spatial resolution imaging, to facilitate a broad range of science outcomes. The AGEL systems span single galaxy-scale deflectors to groups and clusters, and include rare targets such as galaxy-scale lenses with multiple sources, lensed quiescent galaxies, and Einstein rings. We build on the 77 systems presented in Tran et al. 2022 (AGEL data release 1) to present a total 138 lenses, and high resolution F140W and F200LP Hubble Space Telescope images for 71 lenses from a completed HST SNAP program. Lens candidates were originally identified by convolutional neural networks in the DES and DECaLS imaging fields, and of the targets with follow-up spectroscopy we find a high (96%) success rate. Compared with other spectroscopic lens samples, AGEL lenses tend to have both higher redshift deflectors and sources. We briefly discuss the common causes of false-positive candidates, and strategies for mitigating false-positives in next generation lens searches. Lastly, we present 6 galaxy-scale double-source plane lenses useful for cosmological analyses. With next-generation telescopes and surveys such as Euclid, Vera Rubin's Legacy Survey of Space and Time, Keck Observatory's KAPA program, and 4MOST's 4SLSLS surveys on the horizon, the AGEL survey represents a pathfinder for refining automated candidate search methods and identifying and triaging candidates for followup based on scientific potential. |
| title | The AGEL Survey Data Release 2: A Gravitational Lens Sample for Galaxy Evolution and Cosmology |
| topic | Astrophysics of Galaxies |
| url | https://arxiv.org/abs/2503.08041 |