Outputs (9)

PNet—A Deep Learning Based Photometry and Astrometry Bayesian Framework (2023)
Journal Article
Sun, R., Jia, P., Sun, Y., Yang, Z., Liu, Q., & Wei, H. (2023). PNet—A Deep Learning Based Photometry and Astrometry Bayesian Framework. Astronomical Journal, 166(6), Article 235. https://doi.org/10.3847/1538-3881/ad01b5

Time-domain astronomy has emerged as a vibrant research field in recent years, focusing on celestial objects that exhibit variable magnitudes or positions. Given the urgency of conducting follow-up observations for such objects, the development of an... Read More about PNet—A Deep Learning Based Photometry and Astrometry Bayesian Framework.

Image restoration with point-spread function regularization and active learning (2023)
Journal Article
Jia, P., Lv, J., Ning, R., Song, Y., Li, N., Ji, K., …Li, S. (2024). Image restoration with point-spread function regularization and active learning. Monthly Notices of the Royal Astronomical Society, 527(3), 6581–6590. https://doi.org/10.1093/mnras/stad3363

Large-scale astronomical surveys can capture numerous images of celestial objects, including galaxies and nebulae. Analysing and processing these images can reveal the intricate internal structures of these objects, allowing researchers to conduct co... Read More about Image restoration with point-spread function regularization and active learning.

Detection of Strongly Lensed Arcs in Galaxy Clusters with Transformers (2022)
Journal Article
Jia, P., Sun, R., Li, N., Song, Y., Ning, R., Wei, H., & Luo, R. (2023). Detection of Strongly Lensed Arcs in Galaxy Clusters with Transformers. Astronomical Journal, 165(1), Article 26. https://doi.org/10.3847/1538-3881/aca1c2

Strong lensing in galaxy clusters probes properties of dense cores of dark matter halos in mass, studies the distant universe at flux levels and spatial resolutions otherwise unavailable, and constrains cosmological models independently. The next-gen... Read More about Detection of Strongly Lensed Arcs in Galaxy Clusters with Transformers.

PSF–NET: A Nonparametric Point-spread Function Model for Ground-based Optical Telescopes (2020)
Journal Article
Jia, P., Wu, X., Yi, H., Cai, B., & Cai, D. (2020). PSF–NET: A Nonparametric Point-spread Function Model for Ground-based Optical Telescopes. Astronomical Journal, 159(4), Article 183. https://doi.org/10.3847/1538-3881/ab7b79

Ground-based optical telescopes are seriously affected by atmospheric turbulence induced aberrations. Understanding properties of these aberrations is important both for instrument design and image restoration method development. Because the point-sp... Read More about PSF–NET: A Nonparametric Point-spread Function Model for Ground-based Optical Telescopes.

Point spread function modelling for wide-field small-aperture telescopes with a denoising autoencoder (2020)
Journal Article
Cai, D., Wang, W., Li, Z., Li, X., & Jia, P. (2020). Point spread function modelling for wide-field small-aperture telescopes with a denoising autoencoder. Monthly Notices of the Royal Astronomical Society, 493(1), 651-660. https://doi.org/10.1093/mnras/staa319

The point spread function reflects the state of an optical telescope and it is important for the design of data post-processing methods. For wide-field small-aperture telescopes, the point spread function is hard to model because it is affected by ma... Read More about Point spread function modelling for wide-field small-aperture telescopes with a denoising autoencoder.

Solar Image Restoration with the CycleGAN Based on Multi-fractal Properties of Texture Features (2019)
Journal Article
Jia, P., Huang, Y., Cai, B., & Cai, D. (2019). Solar Image Restoration with the CycleGAN Based on Multi-fractal Properties of Texture Features. Astrophysical Journal Letters, 881(2), Article L30. https://doi.org/10.3847/2041-8213/ab365f

Texture is one of the most obvious characteristics in solar images and it is normally described by texture features. Because textures from solar images of the same wavelength are similar, we assume that texture features of solar images are multi-frac... Read More about Solar Image Restoration with the CycleGAN Based on Multi-fractal Properties of Texture Features.

Representative optical turbulence profiles for ESO Paranal by hierarchical clustering (2018)
Journal Article
Farley, O., Osborn, J., Morris, T., Sarazin, M., Butterley, T., Townson, M., Jia, P., & Wilson, R. (2018). Representative optical turbulence profiles for ESO Paranal by hierarchical clustering. Monthly Notices of the Royal Astronomical Society, 481(3), 4030-4037. https://doi.org/10.1093/mnras/sty2536

Knowledge of the optical turbulence profile is important in adaptive optics (AO) systems, particularly tomographic AO systems such as those to be employed by the next generation of 40-m class extremely large telescopes. Site characterization and moni... Read More about Representative optical turbulence profiles for ESO Paranal by hierarchical clustering.

Automated clustering method for point spread function classification (2018)
Journal Article
Wang, W., Jia, P., Cai, D., & Liu, H. (2018). Automated clustering method for point spread function classification. Monthly Notices of the Royal Astronomical Society, 478(4), 5671-5682. https://doi.org/10.1093/mnras/sty1504

The point spread function (PSF) plays a very important part in image post-processing and high-precion astrometry and photometry. It is necessary to analyse the properties of the PSF before we use it to process data. However, in real observations, the... Read More about Automated clustering method for point spread function classification.

Blind deconvolution with principal components analysis for wide-field and small-aperture telescopes (2017)
Journal Article
Jia, P., Sun, R., Wang, W., Cai, D., & Liu, H. (2017). Blind deconvolution with principal components analysis for wide-field and small-aperture telescopes. Monthly Notices of the Royal Astronomical Society, 470(2), 1950-1959. https://doi.org/10.1093/mnras/stx1336

Telescopes with a wide field of view (greater than 1°) and small apertures (less than 2 m) are workhorses for observations such as sky surveys and fast-moving object detection, and play an important role in time-domain astronomy. However, images capt... Read More about Blind deconvolution with principal components analysis for wide-field and small-aperture telescopes.