Staff profile
Overview
https://apps.dur.ac.uk/biography/image/2452
| Affiliation |
|---|
| PDRA in the Department of Physics |
Publications
Conference Paper
Journal Article
- Malik, U., Sharp, R., Penton, A., Yu, Z., Martini, P., Tucker, B. E., Davis, T. M., Lewis, G. F., Lidman, C., Aguena, M., Alves, O., Annis, J., Asorey, J., Bacon, D., Brooks, D., Carnero Rosell, A., Carretero, J., Cheng, T. .-Y., da Costa, L. N., Pereira, M. E. S., …Wiseman, P. (2024). OzDES Reverberation Mapping Program: Stacking analysis with Hβ, Mg ii, and C iv. Monthly Notices of the Royal Astronomical Society, 531(1), 163-182. https://doi.org/10.1093/mnras/stae1154
- Zhang, Y., Golden-Marx, J. B., Ogando, R. L. C., Yanny, B., Rykoff, E. S., Allam, S., Aguena, M., Bacon, D., Bocquet, S., Brooks, D., Carnero Rosell, A., Carretero, J., Cheng, T. .-Y., Conselice, C., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Desai, S., Diehl, H. T., …DES Collaboration. (2024). Dark Energy Survey Year 6 results: Intra-cluster light from redshift 0.2 to 0.5. Monthly Notices of the Royal Astronomical Society, 531(1), 510-529. https://doi.org/10.1093/mnras/stae1165
- Lieu, M., & Cheng, T.-Y. (2024). Machine Learning methods in Astronomy. Astronomy and computing, 47, Article 100830. https://doi.org/10.1016/j.ascom.2024.100830
- Cheng, T.-Y., Domínguez Sánchez, H., Vega-Ferrero, J., Conselice, C., Siudek, M., Aragón-Salamanca, A., Bernardi, M., Cooke, R., Ferreira, L., Huertas-Company, M., Krywult, J., Palmese, A., Pieres, A., Plazas Malagón, A., Carnero Rosell, A., Gruen, D., Thomas, D., Bacon, D., Brooks, D., James, D., …Scarpine, V. (2023). Lessons learned from the two largest Galaxy morphological classification catalogues built by convolutional neural networks. Monthly Notices of the Royal Astronomical Society, 518(2), 2794-2809. https://doi.org/10.1093/mnras/stac3228
- Cheng, T.-Y., Conselice, C. J., Aragón-Salamanca, A., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bluck, A., Brooks, D., Burke, D., Carrasco Kind, M., Carretero, J., Choi, A., Costanzi, M., da Costa, L., Pereira, M., De Vicente, J., Diehl, H., Drlica-Wagner, A., Eckert, K., …To, C. (2021). Galaxy Morphological Classification Catalogue of the Dark Energy Survey Year 3 data with Convolutional Neural Networks. Monthly Notices of the Royal Astronomical Society, 507(3), 4425-4444. https://doi.org/10.1093/mnras/stab2142
- Cheng, T.-Y., Huertas-Company, M., Conselice, C. J., Aragón-Salamanca, A., Robertson, B. E., & Ramachandra, N. (2021). Beyond the hubble sequence – exploring galaxy morphology with unsupervised machine learning. Monthly Notices of the Royal Astronomical Society, 503(3), 4446-4465. https://doi.org/10.1093/mnras/stab734