%0 Journal Article
%T Fast computation of quadrupole and hexadecapole approximations in microlensing with a single point-source evaluation
%+ Institut d'Astrophysique de Paris (IAP)
%A Cassan, Arnaud
%< avec comitÃ© de lecture
%@ 0035-8711
%J Monthly Notices of the Royal Astronomical Society
%I Oxford University Press (OUP): Policy P - Oxford Open Option A
%V 468
%P 3993-3999
%8 2017
%D 2017
%Z 1703.03600
%Z 2017MNRAS.468.3993C
%R 10.1093/mnras/stx849
%K gravitational lensing: micro
%K methods: numerical
%K planets and satellites: detection
%K Astrophysics - Earth and Planetary Astrophysics
%K Astrophysics - Instrumentation and Methods for Astrophysics
%Z Sciences of the Universe [physics]
%Z Sciences of the Universe [physics]/Astrophysics [astro-ph]Journal articles
%X The exoplanet detection rate from gravitational microlensing has grown significantly in recent years thanks to a great enhancement of resources and improved observational strategy. Current observatories include ground-based wide-field and/or robotic world-wide networks of telescopes, as well as space-based observatories such as satellites Spitzer or Kepler/K2. This results in a large quantity of data to be processed and analysed, which is a challenge for modelling codes because of the complexity of the parameter space to be explored and the intensive computations required to evaluate the models. In this work, I present a method that allows to compute the quadrupole and hexadecapole approximations of the finite-source magnification with more efficiency than previously available codes, with routines about six times and four times faster, respectively. The quadrupole takes just about twice the time of a point-source evaluation, which advocates for generalizing its use to large portions of the light curves. The corresponding routines are available as open-source python codes.
%G English
%2 https://insu.hal.science/insu-03747456/document
%2 https://insu.hal.science/insu-03747456/file/stx849.pdf
%L insu-03747456
%U https://insu.hal.science/insu-03747456
%~ INSU
%~ CNRS
%~ IAP
%~ SORBONNE-UNIVERSITE
%~ SU-INF-2018
%~ SU-SCIENCES
%~ SU-TI
%~ ALLIANCE-SU