DESI Strong Lens Foundry V: A Sample of HST-Observed Strong Lenses Modeled with GIGA-Lens
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2025
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| author | Huang, Xiaosheng Alvarez-Garcia, David Ubeda, Monica Bhamre, Vikram Xu, Sean Baltasar, S. Ratier-Werbin, N. Urcelay, F. Agarwal, S. Cikota, A. Hsu, Y. Lin, E. Schlegel, D. J. Silver, E. Storfer, C. J. Tamargo-Arizmendi, M. |
| author_facet | Huang, Xiaosheng Alvarez-Garcia, David Ubeda, Monica Bhamre, Vikram Xu, Sean Baltasar, S. Ratier-Werbin, N. Urcelay, F. Agarwal, S. Cikota, A. Hsu, Y. Lin, E. Schlegel, D. J. Silver, E. Storfer, C. J. Tamargo-Arizmendi, M. |
| contents | We present six galaxy-scale strong lenses with HST imaging modeled using GIGA-Lens. This is Paper V of the DESI Strong Lens Foundry series. These systems were discovered in the DESI Legacy Imaging Surveys using ML/AI methods and confirmed with DESI, Keck/NIRES, and VLT/MUSE spectroscopy. They span $z_d = 0.39 - 1.1$ and $z_s = 1.4 - 3.3$. This is the first HST strong lens sample modeled with full forward modeling -- all lens and source parameters sampled simultaneously in a single inference -- with explicit convergence validation using both $\widehat{R}$ and effective sample size (ESS) for each system. All inferred parameters satisfy $\widehat{R} < 1.1$ and ${\rm ESS} \gtrsim 10,000$, demonstrating that GIGA-Lens achieves statistically robust inference even for some of the most complex galaxy-scale lenses known. These results pave the way for scaling to much larger, high-resolution strong lens samples from HST, Euclid, JWST, and Roman. Convergence-validated modeling will be critical for key science goals, including constraining the mass-density profile of galaxies, detecting low-mass dark matter (sub)halos, and delivering precise and accurate cosmological constraints. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_07823 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | DESI Strong Lens Foundry V: A Sample of HST-Observed Strong Lenses Modeled with GIGA-Lens Huang, Xiaosheng Alvarez-Garcia, David Ubeda, Monica Bhamre, Vikram Xu, Sean Baltasar, S. Ratier-Werbin, N. Urcelay, F. Agarwal, S. Cikota, A. Hsu, Y. Lin, E. Schlegel, D. J. Silver, E. Storfer, C. J. Tamargo-Arizmendi, M. Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies We present six galaxy-scale strong lenses with HST imaging modeled using GIGA-Lens. This is Paper V of the DESI Strong Lens Foundry series. These systems were discovered in the DESI Legacy Imaging Surveys using ML/AI methods and confirmed with DESI, Keck/NIRES, and VLT/MUSE spectroscopy. They span $z_d = 0.39 - 1.1$ and $z_s = 1.4 - 3.3$. This is the first HST strong lens sample modeled with full forward modeling -- all lens and source parameters sampled simultaneously in a single inference -- with explicit convergence validation using both $\widehat{R}$ and effective sample size (ESS) for each system. All inferred parameters satisfy $\widehat{R} < 1.1$ and ${\rm ESS} \gtrsim 10,000$, demonstrating that GIGA-Lens achieves statistically robust inference even for some of the most complex galaxy-scale lenses known. These results pave the way for scaling to much larger, high-resolution strong lens samples from HST, Euclid, JWST, and Roman. Convergence-validated modeling will be critical for key science goals, including constraining the mass-density profile of galaxies, detecting low-mass dark matter (sub)halos, and delivering precise and accurate cosmological constraints. |
| title | DESI Strong Lens Foundry V: A Sample of HST-Observed Strong Lenses Modeled with GIGA-Lens |
| topic | Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies |
| url | https://arxiv.org/abs/2512.07823 |