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arXiv · 2603.01735

KMT-2025-BLG-1314 and KMT-2025-BLG-1392: two microlensing planetary/brown-dwarf candidates analyzed with differentiable code

Haibin Ren·Weicheng Zang·Wei Zhu·Yoon-Hyun Ryu·Yuchen Tang·Jiyuan Zhang·Michael D. Albrow·Sun-Ju Chung·Andrew Gould·Cheongho Han·Kyu-Ha Hwang·Youn Kil Jung·In-Gu Shin·Yossi Shvartzvald·Hongjing Yang·Jennifer C. Yee·Dong-Jin Kim·Chung-Uk Lee·Byeong-Gon Park·Yunyi Tang·Dan Maoz·Shude Mao·Qiyue Qian
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Abstract

Analysis of binary-lens microlensing events typically requires intensive computation because of the multimodal and complex posterior distributions. With the recent development of the JAX-based differentiable binary-lensing modeling package microlux, we present an analysis of two microlensing events with planet/brown-dwarf candidates, KMT-2025-BLG-1314 and KMT-2025-BLG-1392. Both events exhibit the "Close/Wide" degeneracy, and KMT-2025-BLG-1314 suffers from the "Planet/Binary" degeneracy and a recently recognized "Point/Finite" degeneracy among the planetary solutions. For KMT-2025-BLG-1314, the binary mass ratio is $\log q \sim -3.5$ for the planetary solutions and $\log q > -1.5$ for the binary solutions, while for KMT-2025-BLG-1392, we find $\log q \sim -1.3$. We show that for the analysis of KMT-2025-BLG-1314, Hamiltonian Monte Carlo (HMC), enabled by microlux, provides robust parameter inference and outperforms traditional Markov chain Monte Carlo (MCMC) methods in the presence of bimodal posteriors.

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Haibin Ren, Weicheng Zang, Wei Zhu, Yoon-Hyun Ryu, Yuchen Tang, Jiyuan Zhang, Michael D. Albrow, Sun-Ju Chung, Andrew Gould, Cheongho Han, Kyu-Ha Hwang, Youn Kil Jung, In-Gu Shin, Yossi Shvartzvald, Hongjing Yang, Jennifer C. Yee, Dong-Jin Kim, Chung-Uk Lee, Byeong-Gon Park, Yunyi Tang, Dan Maoz, Shude Mao, Qiyue Qian. 2026-03-02. KMT-2025-BLG-1314 and KMT-2025-BLG-1392: two microlensing planetary/brown-dwarf candidates analyzed with differentiable code. https://doi.org/10.1088/1674-4527/ae6f92

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