M. Jaroszyński
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View article: Six microlensing planets detected via sub-day signals during the 2023 -- 2024 season
Six microlensing planets detected via sub-day signals during the 2023 -- 2024 season Open
We present analyses of six microlensing events: KMT-2023-BLG-0548, KMT-2023-BLG-0830, KMT-2023-BLG-0949, KMT-2024-BLG-1281, KMT-2024-BLG-2059, and KMT-2024-BLG-2242. These were identified in KMTNet data from the 2023 -- 2024 seasons, selec…
View article: Four binary microlenses with directly measured masses
Four binary microlenses with directly measured masses Open
Aims. We investigated binary-lens events from the 2022–2024 microlensing surveys, aiming to identify events suitable for lens mass measurements. We focused on two key light curve features: distinct caustic spikes with resolved crossings fo…
View article: KMT-2024-BLG-0404L: A triple microlensing system consisting of a star, a brown dwarf, and a planet
KMT-2024-BLG-0404L: A triple microlensing system consisting of a star, a brown dwarf, and a planet Open
Aims . We have investigated the lensing event KMT-2024-BLG-0404. The light curve of the event exhibited a complex structure with multiple distinct features, including two prominent caustic spikes, two cusp bumps, and a brief discontinuous …
View article: KMT-2024-BLG-0404L: A triple microlensing system consisting of a star, a brown dwarf, and a planet
KMT-2024-BLG-0404L: A triple microlensing system consisting of a star, a brown dwarf, and a planet Open
We have investigated the lensing event KMT-2024-BLG-0404. The light curve of the event exhibited a complex structure with multiple distinct features, including two prominent caustic spikes, two cusp bumps, and a brief discontinuous feature…
View article: MOA-2022-BLG-091Lb and KMT-2024-BLG-1209Lb: Microlensing planets detected through weak caustic-crossing signals
MOA-2022-BLG-091Lb and KMT-2024-BLG-1209Lb: Microlensing planets detected through weak caustic-crossing signals Open
Aims . The light curves of the microlensing events MOA-2022-BLG-091 and KMT-2024-BLG-1209 exhibit anomalies with very similar features. These anomalies appear near the peaks of the light curves, where the magnifications are moderately high…
View article: MOA-2022-BLG-091Lb and KMT-2024-BLG-1209Lb: Microlensing planets detected through weak caustic-crossing signals
MOA-2022-BLG-091Lb and KMT-2024-BLG-1209Lb: Microlensing planets detected through weak caustic-crossing signals Open
The light curves of the microlensing events MOA-2022-BLG-091 and KMT-2024-BLG-1209 exhibit anomalies with very similar features. These anomalies appear near the peaks of the light curves, where the magnifications are moderately high, and a…
View article: FRBs: the Dispersion Measure of Host Galaxies
FRBs: the Dispersion Measure of Host Galaxies Open
Using the results of the IllustrisTNG simulation we estimate the dispersion measure which may be attributed to halos of so called host galaxies of fast radio bursts sources (FRBs). Our results show that in contradiction to assumptions used…
View article: Fast radio bursts and cosmological tests
Fast radio bursts and cosmological tests Open
We consider future cosmological tests based on observations of Fast Radio Bursts (FRBs). We use Illustris Simulation to realistically estimate the scatter in the dispersion measure (DM) of FRBs caused by the inhomogeneous distribution of i…
View article: The influence of weak lensing on measurements of the Hubble constant with quad-image gravitational lenses
The influence of weak lensing on measurements of the Hubble constant with quad-image gravitational lenses Open
We investigate the influence of matter along the line of sight and in the strong lens vicinity on the properties of quad-image configurations and on the measurements of the Hubble constant (H0). We use simulations of light propagation in a…
View article: Bayesian-Based Approach to Application of the Genetic Algorithm to Localize the Abrupt Atmospheric Contamination Source
Bayesian-Based Approach to Application of the Genetic Algorithm to Localize the Abrupt Atmospheric Contamination Source Open
We apply the Bayesian inference in combination with the Genetic algorithm (GA) to the problem of the atmospheric contaminant source localization. The algorithm input data are the on-line incoming concentrations of released substance regist…
View article: Recognition of the atmospheric contamination source localization with the Genetic Algorithm
Recognition of the atmospheric contamination source localization with the Genetic Algorithm Open
We have applied the Genetic Algorithm (GA) to the problem of the atmospheric contaminant source localization. The algorithm input data are concentrations of given substance registered by sensor network. To achieve rapid-response event reco…