An Improved GPU-Based Ray-Shooting Code For Gravitational Microlensing

Abstract

We present an improved inverse ray-shooting code based on GPUs for generating microlensing magnification maps. In addition to introducing GPUs for acceleration, we put the efforts in two aspects: (i) A standard circular lens plane is replaced by a rectangular one to reduce the number of unnecessary lenses as a result of an extremely prolate rectangular image plane. (ii) Interpolation method is applied in our implementation which has achieved an significant acceleration when dealing with large number of lenses and light rays required by high resolution maps. With these applications, we have greatly reduced the running time while maintaining high accuracy: the speed has been increased by about 100 times compared with ordinary GPU based IRS code and GPU-D code when handling large number of lenses. If encountered the high resolution situation up to $10000^2$ pixels, resulting in almost $10^{11}$ light rays, the running time can also be reduced by two orders of magnitude.

11 pages, 8 figures, accepted for publication in ApJ

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• Wave effect of gravitational waves intersected with a microlens field: a new algorithm and supplementary study
• Microlensing bias on the detection of strong lensing gravitational wave
• Wave effect of gravitational waves intersected with a microlens field II: an adaptive hierarchical tree algorithm and population study
• An interference-based method for the detection of strongly lensed gravitational waves
• A GPU Code for Finding Microlensing Critical Curves and Caustics