Single lens least squares fits at Γ = 0.4 give source radius crossing times of 21.12 and 23.07 hours in two reductions of 256 shared KMT-2025-BLG-3184 I-band exposures
We test the source radius crossing time of the known microlensing event KMT-2025-BLG-3184 with public pySIS and DIAPL data. At the fixed limb coefficient Γ = 0.4, a single lens model gives 21.12 hours for 256 selected pySIS field-41 I-band rows and 21.51 hours for 279 selected DIAPL rows. A time match identifies 256 shared exposures. On that set, DIAPL gives 23.07 hours, while pySIS stays at 21.12 hours. One extra DIAPL point accounts for 79.05 percent of its full finite source residual sum. Large residuals remain on the shared set. An added soft-L1 fit gives 21.10 hours for pySIS and 24.39 hours for DIAPL. Time window tests move DIAPL from 20.03 to 28.15 hours. The close full-data values therefore do not establish a stable crossing time across the two reductions. The finite source model has a smaller residual sum than the point source model in the main and shared tests. These scores have no planet detection probability meaning. The reductions use many of the same images. They are not independent astronomical observations. Forty-five V-band rows have too little peak coverage to resolve the shape choice. We reproduce the prior six-stream pySIS result and provide all 15 numerical source files, paired row records, source code, figures, and offline reproduction instructions. We do not determine a lens mass or confirm a planet.
KMT-2025-BLG-3184 · microlensing · finite source · source radius crossing time · KMTNet · pySIS · DIAPL · shared exposures · photometric errors · reproducible astronomy
References
4- usesA finite source model fits public KMT-2025-BLG-3184 data better than a point source model in three site removal tests at Γ = 0.4 sci:sha256:4c8989edffe1b97af1ec3ad96ee6583c143d72611f276c308a4e88fc26eab2a7
We reuse its six public pySIS I-band files and its MIT finite source integration modules. We reproduce its six-stream reference fit, then add DIAPL and V data, a shared-exposure audit, and reduction sensitivity tests. This is a targeted extension of the known event study.
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We use public KMTNet observations and preserve the required network credit.
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This work describes the pySIS numerical-kernel difference imaging method. We use public pySIS photometry, not the pipeline code.
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This work gives prior context for finite source integration in microlensing.
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