2025AJ....170..339S


Query : 2025AJ....170..339S

2025AJ....170..339S - Astron. J., 170, 339 (2025/December-0)

Binary-lens Microlensing Degeneracy: Impact on Planetary Sensitivity and Mass-ratio Function.

SHANG Y., YANG H., ZHANG J., MAO S., GOULD A., ZANG W., QIAN Q. and YEE J.C.

Abstract (from CDS):

Gravitational microlensing is a unique method for discovering cold planets across a broad mass range. Reliable statistics of the microlensing planets require accurate sensitivity estimates. However, the impact of the degeneracies in binary-lens single-source (2L1S) models that affect many actual planet detections is often omitted in sensitivity estimates, leading to potential self-inconsistency of the statistics studies. In this work, we evaluate the effect of the 2L1S degeneracies on planetary sensitivity by simulating a series of typical microlensing events and comprehensively replicating a realistic planet detection pipeline, including the anomaly identification, global 2L1S model search, and degenerate model comparison. We find that for a pure-survey statistical sample, the 2L1S degeneracies reduce the overall planetary sensitivity by 5%-10%, with the effect increasing at higher planet-host mass ratios. This bias leads to an underestimation of planet occurrence rates and a flattening of the inferred mass-ratio function slope. This effect will be critical for upcoming space-based microlensing surveys like the Roman or Earth 2.0 missions, which are expected to discover ${ \mathcal O }(1{0}^{3})$ planets. We also discuss the computational challenges and propose potential approaches for future applications.

Abstract Copyright: © 2025. The Author(s). Published by the American Astronomical Society.

Journal keyword(s): Gravitational microlensing exoplanet detection - Gravitational microlensing - Exoplanet detection methods

Simbad objects: 52

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Number of rows : 52
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026
#notes
1 KMT-2021-BLG-2609 Lev 17 34 04.530 -27 35 48.98           ~ 4 0
2 OGLE-2003-BUL-340 * 17 35 04.19 -26 53 55.1           ~ 2 0
3 OGLE-2011-BLG-0251 * 17 38 14.1795898344 -27 08 10.054235616           ~ 8 1
4 OGLE BLG610.20 3895 * 17 40 38.7446012064 -35 55 51.614425704           ~ 4 0
5 KMT-2022-BLG-0371 Lev 17 41 26.860 -34 41 55.21           G4V 4 0
6 OGLE-2019-BLG-1019 * 17 42 58.42 -25 34 26.1           ~ 8 0
7 KMT-2018-BLG-1497 Lev 17 44 20.190 -25 58 25.00           ~ 3 0
8 KMT-2023-BLG-0416 Lev 17 45 17.770 -25 04 46.16           ~ 3 0
9 KMT-2016-BLG-1107 * 17 45 40.260 -26 01 54.48           ~ 13 0
10 KMT-2016-BLG-1105 Lev 17 45 47.340 -26 15 58.93           ~ 6 0
11 OGLE-2017-BLG-1806 Lev 17 46 29.580 -24 16 20.17           ~ 7 0
12 OGLE BLG603.11 50440 * 17 46 40.39 -34 23 09.9           ~ 3 0
13 KMT-2016-BLG-1609 Lev 17 47 32.790 -34 42 40.10           ~ 2 0
14 OGLE-2014-BLG-0319 * 17 47 50.680 -33 56 06.16           ~ 2 0
15 KMT-2017-BLG-0958 * 17 48 46.650 -25 44 31.20           ~ 2 0
16 KMT-2016-BLG-1243 Lev 17 49 55.560 -22 11 57.91           ~ 2 0
17 KMT-2016-BLG-1855 Lev 17 50 13.250 -29 12 26.39           ~ 4 0
18 KMT-2018-BLG-1714 Lev 17 50 27.270 -33 22 33.82           ~ 2 0
19 KMT-2021-BLG-1253 Lev 17 50 28.130 -29 16 45.41           ~ 7 0
20 KMT-2023-BLG-1454 Lev 17 50 28.820 -29 37 21.90           ~ 3 0
21 OGLE-2012-BLG-0455 * 17 51 32.370 -28 33 41.44           ~ 5 0
22 OGLE-2017-BLG-0173 * 17 51 52.95 -29 16 16.9           ~ 21 0
23 KMT-2018-BLG-0831 Lev 17 51 58.730 -31 51 58.10           ~ 2 0
24 KMT-2016-BLG-1751 Lev 17 53 28.620 -32 09 06.52           ~ 5 0
25 KMT-2016-BLG-0212 * 17 53 45.420 -29 05 12.80           ~ 12 0
26 KMT-2017-BLG-0090 Lev 17 54 40.47 -31 01 54.9           ~ 8 0
27 2MASS J17544337-2844214 * 17 54 43.3746243771 -28 44 21.394424553           ~ 8 0
28 OGLE-2015-BLG-1771 * 17 55 11.76 -28 51 45.9           ~ 8 0
29 KMT-2019-BLG-0414 Lev 17 55 24.700 -21 53 43.94           ~ 4 0
30 MOA 2018-BLG-145 * 17 56 13.3348253400 -29 11 56.615704692           ~ 8 0
31 KMT-2017-BLG-1146 * 17 56 25.400 -33 08 32.89           ~ 6 0
32 KMT-2021-BLG-0171 Lev 17 56 58.180 -30 05 34.58           ~ 9 0
33 MOA 2011-BLG-133 * 17 57 15.7783191352 -28 14 01.888735332           ~ 7 0
34 MOA 2011-BLG-336 * 17 57 16.6312602936 -32 39 57.021314467           ~ 20 0
35 OGLE-2017-BLG-0373 * 17 57 19.06 -31 57 06.2           ~ 12 0
36 KMT-2018-BLG-2164 * 17 57 22.830 -30 09 57.20           ~ 2 0
37 NAME MOA-bin-29 * 17 57 30.3406342848 -29 44 12.292325304           ~ 4 0
38 OGLE-2018-BLG-1554 * 17 57 59.280 -31 26 05.89           ~ 2 0
39 KMT-2021-BLG-1689 Lev 17 58 18.620 -30 08 43.12           ~ 6 0
40 KMT-2017-BLG-2126 Lev 17 59 14.600 -28 34 48.00           ~ 2 0
41 KMT-2018-BLG-1025 * 17 59 27.940 -27 52 41.02           ~ 11 0
42 OGLE-2002-BUL-055 PN 17 59 40.93 -27 07 18.2           ~ 13 0
43 MOA 2011-BLG-262 * 18 00 23.480 -31 14 42.93           ~ 28 0
44 OGLE BLG515.31 103145 * 18 01 45.77 -31 42 52.5           ~ 3 0
45 KMT-2021-BLG-1391 Lev 18 02 44.060 -28 03 37.80           ~ 11 0
46 OGLE-2011-BLG-0526 * 18 02 45.37 -28 01 25.8           ~ 6 0
47 PSO J271.0316-26.9586 * 18 04 07.5925154753 -26 57 30.797290688           ~ 3 0
48 KMT-2016-BLG-0625 Lev 18 05 39.660 -27 13 36.70           ~ 4 0
49 KMT-2019-BLG-2991 Lev 18 06 10.910 -27 29 07.69           ~ 3 0
50 MOA 2015-BLG-337 * 18 07 47.71 -28 10 12.6           ~ 13 0
51 MOA 2007-BLG-192 * 18 08 03.798 -27 09 00.27           ~ 56 1
52 MOA 2018-BLG-147 * 18 08 42.47 -29 50 08.9           ~ 9 0

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