--- license: gpl-3.0 --- # Simulated Light Curves for Strong Gravitational Lensing This mock dataset simulates light curves for strong gravitational lensing (optical data). Each file contains pairs of light curves with a time delay of five days (**DS-5**). ### Table: Simulated Large Scale Data Sets | Noise | Gap Size 0 | Gap Size 1 | Gap Size 2 | Gap Size 3 | Gap Size 4 | Gap Size 5 | |---------|-----------|-----------|-----------|-----------|-----------|-----------| | 0% | 1 | 10 | 10 | 10 | 10 | 10 | | 0.036% | 50 | 50 | 50 | 50 | 50 | 50 | | 0.106% | 50 | 50 | 50 | 50 | 50 | 50 | | 0.466% | 50 | 50 | 50 | 50 | 50 | 50 | | **Sub-Total** | **151** | **1510** | **1510** | **1510** | **1510** | **1510** | Total = **7,701 data sets per underlying function.** 5 underlying functions yield **38,505 data sets.** ## File Naming Convention Files follow this notation: DS-5-``-GAP-``-``-N-`` ### Explanation of Components: - **DS-5**: Indicates that the true time delay is five days. - **Function (``)**: Represents the underlying function number (ranges from `1` to `10`). - **GAP (``)**: Indicates the number of removed points: - `0`: No gap. - `1-5`: Different gap sizes. - **Realization (``)**: Represents different random gap realizations (ranges from `1` to `10`). - **N (``)**: Represents the noise level: - `0`: No noise. - `1-3`: Different noise levels. ### Example DS-5-1-GAP-0-1-N-0 - `DS-5`: True time delay of five days. - `1`: First underlying function. - `GAP-0`: No gaps. - `1`: First realization. - `N-0`: No noise. Each pair of light curves is divided into five blocks before applying the gap procedure. --- ### Plots Noise level 2 = 0.106% Noise level 2 = 0.106% Noise level 3 = 0.466% Noise level 3 = 0.466% Underlying fuction 1 Underlying fuction 1 Underlying fuction 2 Underlying fuction 2 Underlying fuction 3 Underlying fuction 3 Underlying fuction 4 Underlying fuction 4 Underlying fuction 5 Underlying fuction 5 Underlying fuction 6 Underlying fuction 6 Underlying fuction 7 Underlying fuction 7 Underlying fuction 8 Underlying fuction 8 Underlying fuction 9 Underlying fuction 9 Underlying fuction 10 Underlying fuction 10 If you use this dataset, please cite the following paper: > **Cuevas-Tello, J. C., Tiňo, P., Raychaudhury, S., Yao, X., & Harva, M.** > *Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application.* > Pattern Recognition, **43**(3), 1165-1179 (2010). > DOI: [10.1016/j.patcog.2009.07.016](https://doi.org/10.1016/j.patcog.2009.07.016) ### BibTeX Citation ```bibtex @article{CUEVASTELLO20101165, title = {Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application}, author = {Juan C. Cuevas-Tello and Peter Tiňo and Somak Raychaudhury and Xin Yao and Markus Harva}, journal = {Pattern Recognition}, volume = {43}, number = {3}, pages = {1165-1179}, year = {2010}, issn = {0031-3203}, doi = {10.1016/j.patcog.2009.07.016} }