2006
DOI: 10.1086/508796
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A Fast and Very Accurate Approach to the Computation of Microlensing Magnification Patterns Based on Inverse Polygon Mapping

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Cited by 73 publications
(71 citation statements)
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“…The magnification maps were calculated using the Inverse Polygon Mapping algorithm (Mediavilla et al 2006(Mediavilla et al , 2011b. We have used canonical values for κ and γ for the four images from Schmidt et al (1998) and put all the mass into equal mass stars.…”
Section: Resultsmentioning
confidence: 99%
“…The magnification maps were calculated using the Inverse Polygon Mapping algorithm (Mediavilla et al 2006(Mediavilla et al , 2011b. We have used canonical values for κ and γ for the four images from Schmidt et al (1998) and put all the mass into equal mass stars.…”
Section: Resultsmentioning
confidence: 99%
“…, 10. The 517 magnification maps were created using the Inverse Polygon Mapping algorithm described by Mediavilla et al (2006Mediavilla et al ( , 2011a. We used equal mass microlenses of 1 M .…”
Section: Statistical Analysis and Resultsmentioning
confidence: 99%
“…To compare microlensing magnification estimates for different models to observations, we follow the procedures of Jiménez-Vicente et al (2012). We compute magnification maps for each of the four images in the 10 systems using the Inverse Polygon Mapping technique (Mediavilla et al 2006(Mediavilla et al , 2011a. We take the values for κ and γ provided by Schechter et al (2014), and put 20% of the surface mass density in the form of stars, as derived from microlensing in the optical by Jiménez-Vicente et al (2015).…”
Section: The Dependence Of X-ray Sizes On Black Hole Massmentioning
confidence: 99%