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license: gpl-3.0 |
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# Simulated Light Curves for Strong Gravitational Lensing |
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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**). |
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### Table: Simulated Large Scale Data Sets |
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| Noise | Gap Size 0 | Gap Size 1 | Gap Size 2 | Gap Size 3 | Gap Size 4 | Gap Size 5 | |
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|---------|-----------|-----------|-----------|-----------|-----------|-----------| |
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| 0% | 1 | 10 | 10 | 10 | 10 | 10 | |
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| 0.036% | 50 | 50 | 50 | 50 | 50 | 50 | |
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| 0.106% | 50 | 50 | 50 | 50 | 50 | 50 | |
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| 0.466% | 50 | 50 | 50 | 50 | 50 | 50 | |
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| **Sub-Total** | **151** | **1510** | **1510** | **1510** | **1510** | **1510** | |
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Total = **7,701 data sets per underlying function.** |
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5 underlying functions yield **38,505 data sets.** |
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## File Naming Convention |
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Files follow this notation: |
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DS-5-`<Function>`-GAP-`<GapSize>`-`<Realization>`-N-`<NoiseLevel>` |
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### Explanation of Components: |
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- **DS-5**: Indicates that the true time delay is five days. |
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- **Function (`<Function>`)**: Represents the underlying function number (ranges from `1` to `10`). |
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- **GAP (`<GapSize>`)**: Indicates the number of removed points: |
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- `0`: No gap. |
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- `1-5`: Different gap sizes. |
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- **Realization (`<Realization>`)**: Represents different random gap realizations (ranges from `1` to `10`). |
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- **N (`<NoiseLevel>`)**: Represents the noise level: |
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- `0`: No noise. |
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- `1-3`: Different noise levels. |
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### Example |
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DS-5-1-GAP-0-1-N-0 |
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- `DS-5`: True time delay of five days. |
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- `1`: First underlying function. |
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- `GAP-0`: No gaps. |
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- `1`: First realization. |
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- `N-0`: No noise. |
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Each pair of light curves is divided into five blocks before applying the gap procedure. |
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--- |
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### Plots |
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Noise level 2 = 0.106% |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679190b1013258a9da0965db/xNQ8qjs4XIgwn-ECLC2uZ.jpeg" alt="Noise level 2 = 0.106%" style="width: 35%;"> |
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Noise level 3 = 0.466% |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679190b1013258a9da0965db/kRZDleX3yQn9yC7iJRQar.jpeg" alt="Noise level 3 = 0.466%" style="width: 35%;"> |
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Underlying fuction 1 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679190b1013258a9da0965db/CjfAI6ngJk4rpyvQtYAHj.jpeg" alt="Underlying fuction 1" style="width: 35%;"> |
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Underlying fuction 2 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679190b1013258a9da0965db/8PiXpAkBp6-lNXMBBndgK.jpeg" alt="Underlying fuction 2" style="width: 35%;"> |
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Underlying fuction 3 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679190b1013258a9da0965db/9KUf8kEg9QtBHNVfVrAQT.jpeg" alt="Underlying fuction 3" style="width: 35%;"> |
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Underlying fuction 4 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679190b1013258a9da0965db/gF8vcdedAsYBTUkRFV6fY.jpeg" alt="Underlying fuction 4" style="width: 35%;"> |
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Underlying fuction 5 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679190b1013258a9da0965db/8eW8YpmHEY8_FSGWwE-Zl.jpeg" alt="Underlying fuction 5" style="width: 35%;"> |
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Underlying fuction 6 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679190b1013258a9da0965db/KHM3iZq1SNA1oC4jYpI-K.jpeg" alt="Underlying fuction 6" style="width: 35%;"> |
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Underlying fuction 7 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679190b1013258a9da0965db/l1qFOC7dh2GE8TxQiC9lD.jpeg" alt="Underlying fuction 7" style="width: 35%;"> |
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Underlying fuction 8 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679190b1013258a9da0965db/mlpMSAjqcY5R2kV_-zboG.jpeg" alt="Underlying fuction 8" style="width: 35%;"> |
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Underlying fuction 9 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679190b1013258a9da0965db/mFX4B_DBOmtVZlWjlQZQF.jpeg" alt="Underlying fuction 9" style="width: 35%;"> |
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Underlying fuction 10 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/679190b1013258a9da0965db/u_cctWxu7I-zOH0IJ7Oso.jpeg" alt="Underlying fuction 10" style="width: 35%;"> |
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If you use this dataset, please cite the following paper: |
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> **Cuevas-Tello, J. C., Tiňo, P., Raychaudhury, S., Yao, X., & Harva, M.** |
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> *Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application.* |
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> Pattern Recognition, **43**(3), 1165-1179 (2010). |
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> DOI: [10.1016/j.patcog.2009.07.016](https://doi.org/10.1016/j.patcog.2009.07.016) |
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### BibTeX Citation |
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```bibtex |
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@article{CUEVASTELLO20101165, |
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title = {Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application}, |
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author = {Juan C. Cuevas-Tello and Peter Tiňo and Somak Raychaudhury and Xin Yao and Markus Harva}, |
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journal = {Pattern Recognition}, |
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volume = {43}, |
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number = {3}, |
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pages = {1165-1179}, |
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year = {2010}, |
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issn = {0031-3203}, |
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doi = {10.1016/j.patcog.2009.07.016} |
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} |
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