Issue |
A&A
Volume 694, February 2025
|
|
---|---|---|
Article Number | A219 | |
Number of page(s) | 11 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202452648 | |
Published online | 14 February 2025 |
VBMicroLensing: Three algorithms for multiple lensing with contour integration
1
Dipartimento di Fisica “E.R. Caianiello”, Università di Salerno,
Via Giovanni Paolo 132,
Fisciano
84084,
Italy
2
Istituto Nazionale di Fisica Nucleare, Sezione di Napoli,
Via Cintia,
Napoli
80126,
Italy
3
Dipartimento di Fisica “Ettore Pancini”, Università di Napoli Federico II,
Napoli,
Italy
4
INAF – Osservatorio Astronomico di Capodimonte,
Salita Moiariello 16
80131,
Napoli,
Italy
5
Department of Astronomy, Tsinghua University,
Beijing
100084,
China
★ Corresponding author; valboz@sa.infn.it
Received:
17
October
2024
Accepted:
29
December
2024
Context. Modeling of microlensing events poses computational challenges for the resolution of the lens equation and the high dimensionality of the parameter space. In particular, numerical noise represents a severe limitation to fast and efficient calculations of microlensing by multiple systems, which are of particular interest in exoplanetary searches.
Aims. We present a new public code built on our previous experience on binary lenses that introduces three new algorithms for the computation of magnification and astrometry in multiple microlensing.
Methods. In addition to the classical polynomial resolution, we introduce a multi-polynomial approach in which each root is calculated in a frame centered on the closest lens. In addition, we propose a new algorithm based on a modified Newton-Raphson method applied to the original lens equation without any numerical manipulation.
Results. These new algorithms are more accurate and robust compared to traditional single-polynomial approaches at a modest computational cost, opening the way to massive studies of multiple lenses. The new algorithms can be used in a complementary way to optimize efficiency and robustness.
Key words: gravitational lensing: micro / methods: data analysis / methods: numerical / planets and satellites: detection / binaries: general
© The Authors 2025
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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