You Shall Not Pass (Without Modeling): High-Resolution Analysis of KMT-2019-BLG-0253 using MORIA

Abstract

We present the Microlensing Object high-Resolution Imaging Analysis pipeline, or \texttt{MORIA}. This is an automated procedure to reduce high-resolution \textit{HST} images of microlensing targets, build empirical point-spread function models from the data, and perform simultaneous multi-star PSF fitting to blended sources, lenses, and neighbor stars. We have developed and tested this pipeline using HST observations of the microlensing event KMT-2019-BLG-0253, which shows clear evidence of three highly-blended stars in HST. Under our assumed source and lens identification, we determine a host mass of M_host = 0.65 ± 0.04M_⊙. We have reduced the number of possible solutions for this target by a factor of two, with the remaining solution subject to the well known close-wide degeneracy. We determine a planet mass of m_p = 7.18 ± 0.40 M_⊕ (close) or m_p = 9.48 ± 1.13 M_⊕ (wide), and distance to the lens system of D_L= 2.64 ± 0.22 kpc. This target lies within the upcoming Roman Telescope Galactic Bulge Time Domain Survey (GBTDS) field. Future analysis of the Roman data for this event can confirm or reject the initial source and lens identifications presented in this work. Finally, this work demonstrates the importance of using an automated high-resolution imaging tool to inform light curve modeling for microlensing planets found during the GBTDS.

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BibTeX RIS

BibTeX

@misc{bhadra2026shall,
  title = {{You Shall Not Pass (Without Modeling): High-Resolution Analysis of KMT-2019-BLG-0253 using MORIA}},
  author = {T. Dex Bhadra and Sean K. Terry and David P. Bennett and Aparna Bhattacharya and Ian A. Bond and Jon Hulberg and Stela Ishitani Silva and Przemek Mróz and Aikaterini Vandorou},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2605.08340},
  eprint = {2605.08340},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.08340},
  note = {CC BY 4.0},
}

RIS

TY  - UNPB
TI  - You Shall Not Pass (Without Modeling): High-Resolution Analysis of KMT-2019-BLG-0253 using MORIA
AU  - T. Dex Bhadra
AU  - Sean K. Terry
AU  - David P. Bennett
AU  - Aparna Bhattacharya
AU  - Ian A. Bond
AU  - Jon Hulberg
AU  - Stela Ishitani Silva
AU  - Przemek Mróz
AU  - Aikaterini Vandorou
PY  - 2026
DA  - 2026/09/28
PB  - arXiv
DO  - 10.48550/arxiv.2605.08340
UR  - https://arxiv.org/abs/2605.08340
AB  - We present the Microlensing Object high-Resolution Imaging Analysis pipeline, or \texttt{MORIA}. This is an automated procedure to reduce high-resolution \textit{HST} images of microlensing targets, build empirical point-spread function models from the data, and perform simultaneous multi-star PSF fitting to blended sources, lenses, and neighbor stars. We have developed and tested this pipeline using HST observations of the microlensing event KMT-2019-BLG-0253, which shows clear evidence of three highly-blended stars in HST. Under our assumed source and lens identification, we determine a host mass of M_host = 0.65 ± 0.04M_⊙. We have reduced the number of possible solutions for this target by a factor of two, with the remaining solution subject to the well known close-wide degeneracy. We determine a planet mass of m_p = 7.18 ± 0.40 M_⊕ (close) or m_p = 9.48 ± 1.13 M_⊕ (wide), and distance to the lens system of D_L= 2.64 ± 0.22 kpc. This target lies within the upcoming Roman Telescope Galactic Bulge Time Domain Survey (GBTDS) field. Future analysis of the Roman data for this event can confirm or reject the initial source and lens identifications presented in this work. Finally, this work demonstrates the importance of using an automated high-resolution imaging tool to inform light curve modeling for microlensing planets found during the GBTDS.
ER  -

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