Dark lens candidates from <i>Gaia</i> Data Release 3

Gravitational microlensing is a phenomenon that allows us to observe the dark remnants of stellar evolution, even if these bodies are no longer emitting electromagnetic radiation. In particular, it can be useful to observe solitary neutron stars or stellar-mass black holes, providing a unique window through which to understand stellar evolution. Obtaining direct mass measurements with this technique requires precise observations of both the change in brightness and the position of the microlensed star. The European Space Agency’s Gaia satellite can provide both. Using publicly available data from different surveys, we analysed events published in the Gaia Data Release 3 ( Gaia DR3) microlensing catalogue. Here, we describe our selection of candidate dark lenses, where we suspect the lens is a white dwarf (WD), a neutron star (NS), a black hole (BH), or a mass-gap object, with a mass in the range between the heaviest NS and the least massive BH. We estimated the mass of the lenses using information obtained from the best-fitting microlensing models, source star, Galactic model, and the expected parameter distributions. We found eleven candidates for dark remnants: one WDs, three NSs, three mass-gap objects, and four BHs.

Authors

Publication Details

Journal
Astronomy and Astrophysics
Published
2024-10-09
DOI
https://doi.org/10.1051/0004-6361/202449322
Citations
6
Primary Topic
Astronomy and Astrophysical Research
Type
article
Field-Weighted Citation Impact
3.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dark lens candidates from Gaia Data Release 3

K. Ulaczyk, Y. Matsubara, I. Soszyński, Yuki Satoh et al.
6 citations
Astronomy and Astrophysics
Astronomy and Astrophysical Research
3.04
article

Dark lens candidates from Gaia Data Release 3

K. Ulaczyk, Y. Matsubara, I. Soszyński, Yuki Satoh, Y. Itow, S. Ishitani Silva, M. Bronikowski, K. Howil, Riku Hamada, T. Nagai, M. Gromadzki, Richard Barry, ‪Clément Ranc, Zofia Kaczmarek, M. K. Szymański, Atri Bhattacharya, J. Skowron, R. Poleski, Seiichi Hamada, Satoshi Miyazaki, K. Kruszyńska, M. Jabłońska, Naoki Koshimoto, Uliana Pylypenko, T. Sumi, Aikaterini Vandorou, A. Udalski, Y. Muraki, H. Yama, A. Fukui, P. Pietrukowicz, P. Mróz, M. Maskoliūnas, N. Ihanec, Greg Olmschenk, Yuki Hirao, P. Iwanek, S. Kozłowski, Marcin Wrona, Mateusz J. Mróz, Kansuke Nunota, L, D. Suzuki, F. Abe, Wyrzykowski, Naotaka Hamasaki, Koichi Bando
article en
6 citations

Abstract

Gravitational microlensing is a phenomenon that allows us to observe the dark remnants of stellar evolution, even if these bodies are no longer emitting electromagnetic radiation. In particular, it can be useful to observe solitary neutron stars or stellar-mass black holes, providing a unique window through which to understand stellar evolution. Obtaining direct mass measurements with this technique requires precise observations of both the change in brightness and the position of the microlensed star. The European Space Agency’s Gaia satellite can provide both. Using publicly available data from different surveys, we analysed events published in the Gaia Data Release 3 ( Gaia DR3) microlensing catalogue. Here, we describe our selection of candidate dark lenses, where we suspect the lens is a white dwarf (WD), a neutron star (NS), a black hole (BH), or a mass-gap object, with a mass in the range between the heaviest NS and the least massive BH. We estimated the mass of the lenses using information obtained from the best-fitting microlensing models, source star, Galactic model, and the expected parameter distributions. We found eleven candidates for dark remnants: one WDs, three NSs, three mass-gap objects, and four BHs.

Astronomy and AstrophysicsVol. 692
Narodowe Centrum Nauki, Ministerstwo Edukacji i Nauki, Narodowe Centrum Badań i Rozwoju, Horizon 2020
Openalex Percentile: Top 8%
Astronomy and Astrophysical Research
3.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.