Mass Production of 2023 KMTNet Microlensing Planets. III: Three Planets from the Subprime Field
Hongyu Li, Zhixing Li, Weicheng Zang, Yoon-Hyun Ryu, Andrzej Udalski + 54 more
TLDR
KMTNet's 2023 subprime field analysis confirms three new microlensing planets, adding to 25 total, with consistent mass-ratio distribution.
Key contributions
- Confirmed three new microlensing planets (KMT-2023-BLG-1810, 0084, 1118) from 2023 KMTNet data.
- Inferred mass ratios for confirmed planets are log q ~ -1.9, -2.0, and -2.6.
- Bayesian analysis suggests super-Jupiters or Saturn-mass planets orbiting M/K-dwarf hosts.
- The 2023 KMTNet sample now totals 25 unambiguous planetary events.
Why it matters
This paper expands the catalog of confirmed exoplanets discovered via microlensing, specifically from the KMTNet survey. It helps characterize the population of planets, particularly super-Jupiters and Saturn-mass planets, around M/K-dwarf stars. The consistent mass-ratio distribution strengthens our understanding of planetary formation.
Original Abstract
To complete the analysis of the 2023 KMTNet subprime-field microlensing planetary events identified by its AlertFinder system, we present the analysis of six events, KMT-2023-BLG-(1810, 0084, 1118, 0584, 1697, 2218). We find that the first three events are securely confirmed as planetary, with inferred mass ratios of $\log q \sim -1.9$, $-2.0$, and $-2.6$, respectively. The remaining three events exhibit the well-known degeneracy between binary-lens/single-source (2L1S) and single-lens/binary-source (1L2S) models, and two of these also admit viable stellar binary solutions. A Bayesian analysis indicates that the companions in the confirmed planetary events are likely either super-Jupiters orbiting beyond the snow line of M- or K-dwarf hosts or, for two degenerate solutions of KMT-2023-BLG-1118, Saturn-mass planets orbiting late-type M dwarfs. To date, the 2023 KMTNet sample contains 25 unambiguous planetary events, and its mass-ratio distribution is consistent with that of the KMTNet planetary sample from 2016--2019.
📬 Weekly AI Paper Digest
Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.