Publications using Jiutian simulations

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  1. Wei, C.-L., Li, G.-L., Fang, Y.-D., Zhang, X., Luo, Y., Tian, H., Liu, D.-Z., Meng, X.-M., Ban, Z., Li, X.-B., Luo, Z., Xian, J.-T., Wang, W., Peng, X.-Y., Li, N., Li, R., Shao, L., Zhang, T.-M., Tang, J., … Liu, Q.-Y. (2026). Mock Observations for the CSST Mission: Main Surveys─An Overview of Framework and Simulation Suite. Research in Astronomy and Astrophysics, 26(2), 024001. https://doi.org/10.1088/1674-4527/ae20fe
  2. Wei, C.-L., Luo, Y., Tian, H., Li, M., Qiu, Y.-S., Li, G.-L., Fang, Y.-D., Zhang, X., Liu, D.-Z., Li, N., Li, R., Shan, H.-Y., Nie, L., He, Z., Wang, L., Kang, X., Fan, D., Chen, Y., Fu, X., & Liu, C. (2026). Mock Observations for the CSST Mission: Main Surveys─The Mock Catalog. Research in Astronomy and Astrophysics, 26(2), 024004. https://doi.org/10.1088/1674-4527/ae20ff
  3. Xu, K. (2025). Abundance and phase-space distribution of subhalos in cosmological N-body simulations: testing numerical convergence and correction methods. \Jcap, 2025(12), 009. https://doi.org/10.1088/1475-7516/2025/12/009
  4. Yu, H.-R., Chen, B.-H., Xu, K., Sheng, M.-J., Han, J., Jing, Y., & Cui, H. (2025). CUBE2: A Parallel N-Body Simulation Code for Scalability, Accuracy, and Memory Efficiency. ArXiv e-Prints, arXiv:2512.12629. https://doi.org/10.48550/arXiv.2512.12629
  5. Li, Q., Yang, X., Katsianis, A., Popesso, P., Marini, I., Dai, Y. S., Liu, C., Jing, Y., Huang, J.-S., & Sawicki, M. (2025). Evolution of the Physical Properties of the Most Massive Galaxies in Clusters and Their Protohalos. \Apj, 993(1), 72. https://doi.org/10.3847/1538-4357/ae060e
  6. Wang, Y., Zhai, Z., Yang, X., & Tinker, J. L. (2025). Exploring the Signature of Assembly Bias and Modified Gravity Using Small-scale Clusterings of Galaxies. \Apj, 994(1), 51. https://doi.org/10.3847/1538-4357/ae0c10
  7. Qu, H., Yuan, Z., Wei, C., Liu, C., Chang, J., Li, G., Martin, N. F., Tsai, C., Shao, S., Luo, Y., Li, R., Kang, X., Xue, X., & Fan, Z. (2025). ViT-based Local Volume Dwarf Galaxy Identification (VIDA) in the CSST survey. \Mnras, 544(1), 1238–1254. https://doi.org/10.1093/mnras/staf1586
  8. Shi, Y., Zhang, P., Chen, Z., Qin, J., Cui, L., Deng, F., & Yao, J. (2025). The first AKRA mass map reconstruction from HSC Y1 data. ArXiv e-Prints, arXiv:2511.12488. https://doi.org/10.48550/arXiv.2511.12488
  9. Tan, Z., Xie, L., Han, J., Qiu, Y., Fontanot, F., De Lucia, G., Guo, Q., Li, Q., Zhou, J., Jiang, W., Wang, X., He, F., Jin, C., Jing, Y., Li, M., Li, X., Pei, W., Wang, W., Yang, X., & Yu, Y. (2025). A semi-analytical mock galaxy catalog for the CSST extragalactic surveys from the Jiutian simulations. ArXiv e-Prints, arXiv:2511.03281. https://doi.org/10.48550/arXiv.2511.03281
  10. Yan, J.-H., Gong, Y., Xiong, Q., Chen, X., Guo, Q., Li, M., Liu, Y., & Pei, W. (2025). Forecasting the Constraint on the Hu-Sawicki f(R) Modified Gravity in the CSST 3\times2pt Photometric Survey. ArXiv e-Prints, arXiv:2511.16097. https://doi.org/10.48550/arXiv.2511.16097
  11. Xiong, Q., Gong, Y., Yan, J., Deng, F., Lin, H., Zhou, X., Chen, X., Guo, Q., Li, M., Liu, Y., & Pei, W. (2025). Exploring Cosmological Constraints of the Void-Lensing Cross-Correlation in the CSST Photometric Survey. ArXiv e-Prints, arXiv:2511.04099. https://doi.org/10.48550/arXiv.2511.04099
  12. Su, P., Gong, Y., Xiong, Q., Hu, D., Lin, H., Deng, F., & Chen, X. (2025). Exploring Joint Observation of the CSST Shear and clustering of astrophysical gravitational wave source measurements. ArXiv e-Prints, arXiv:2510.20203. https://doi.org/10.48550/arXiv.2510.20203
  13. Shi, F., Wang, Z., Yang, X., Gu, Y., Wei, C., Li, M., Han, J., Ding, Z., Wang, H., Zhang, Y., Hong, W., Wang, Y., & Li, X.-dong. (2025). DarkAI: Reconstructing the Density, Velocity, and Tidal Fields of Dark Matter from a DESI-like Bright Galaxy Sample. \Apjs, 280(2), 53. https://doi.org/10.3847/1538-4365/adfa26
  14. Tang, H.-J., Meng, X.-L., Zhan, H., Li, G.-L., Wei, C.-L., Meng, X.-M., Fu, X.-Y., & Xu, Y.-H. (2025). LEO Satellite Track Correction for CSST Multi-band Imaging Data. Research in Astronomy and Astrophysics, 25(10), 105014. https://doi.org/10.1088/1674-4527/adfb4b
  15. Chen, Z., & Yu, Y. (2025). Extending CSST Emulator to post-DESI era. ArXiv e-Prints, arXiv:2510.09503. https://doi.org/10.48550/arXiv.2510.09503
  16. Jiang, Y.-E., Gong, Y., Xiong, Q., Pei, W., Liu, Y., Deng, F., Yuwen, Z.-yan, Zhang, M., Zhou, X., Chen, X., Ma, Y.-Z., Guo, Q., & Yue, B. (2025). Cosmological Prediction from the joint observation of MeerKAT and CSST at z = 0.4 ∼1.2. ArXiv e-Prints, arXiv:2509.23343. https://doi.org/10.48550/arXiv.2509.23343
  17. Zhou, S., Chen, Z., & Yu, Y. (2025). CSST cosmological emulator III: Hybrid lagrangian bias expansion emulation of galaxy clustering. Science China Physics, Mechanics, and Astronomy, 68(12), 129512. https://doi.org/10.1007/s11433-025-2755-x
  18. Han, J., Li, M., Jiang, W., Chen, Z., Wang, H., Wei, C., He, F., He, J., Zhang, J., Liu, Y., Cui, W., Gu, Y., Guo, Q., Jing, Y., Kang, X., Li, G., Luo, X., Luo, Y., Pei, W., … Zhou, J. (2025). The Jiutian simulations for the CSST extra-galactic surveys. Science China Physics, Mechanics, and Astronomy, 68(10), 109511. https://doi.org/10.1007/s11433-025-2712-1
  19. Chen, Z., & Yu, Y. (2025). CSST cosmological emulator II: Generalized accurate halo mass function emulation. Science China Physics, Mechanics, and Astronomy, 68(10), 109513. https://doi.org/10.1007/s11433-025-2764-x
  20. Chen, Z., Yu, Y., Han, J., & Jing, Y. (2025). CSST cosmological emulator I: Matter power spectrum emulation with one percent accuracy to k = 10h Mpc^‑1. Science China Physics, Mechanics, and Astronomy, 68(8), 289512. https://doi.org/10.1007/s11433-025-2671-0
  21. Jiang, W., Han, J., Dong, F., & He, F. (2025). Self-similar Decomposition of the Hierarchical Merger Tree of Dark Matter Halos. \Apj, 988(2), 160. https://doi.org/10.3847/1538-4357/ade439
  22. Gong, Y., Miao, H., Zhou, X., Xiong, Q., Song, Y., Jiang, Y., Wang, M., Yan, J., Wu, B., Deng, F., Chen, X., Fan, Z., Jing, Y., Yang, X., & Zhan, H. (2025). Future cosmology: New physics and opportunity from the China Space Station Telescope (CSST). Science China Physics, Mechanics, and Astronomy, 68(8), 280402. https://doi.org/10.1007/s11433-025-2646-2
  23. CSST Collaboration, Gong, Y., Miao, H., Zhan, H., Li, Z.-Y., Shangguan, J., Li, H., Liu, C., Chen, X., Yuan, H., Zhou, J., Liu, H.-G., Yu, C., Ji, J., Qi, Z., Liu, J., Dai, Z., Wang, X., Zheng, Z., … Zu, Y. (2025). Introduction to the Chinese Space Station Survey Telescope (CSST). ArXiv e-Prints, arXiv:2507.04618. https://doi.org/10.48550/arXiv.2507.04618
  24. Ma, Q.-B., Chen, X.-R., Li, M., Guo, Q., Ciardi, B., Acharya, A., & Wang, X. (2025). Constraints on the Galaxy Formation Models during the Epoch of Reionization with High-redshift Observations. \Apj, 986(1), 5. https://doi.org/10.3847/1538-4357/add015
  25. Chen, B.-H., Zhao, J.-J., Yu, H.-R., Liu, Y., He, J.-H., & Jing, Y. (2025). Cosmological Simulations with Massive Neutrinos: Efficiency and Accuracy. Universe, 11(7), 212. https://doi.org/10.3390/universe11070212
  26. Li, Z., Liu, D., Xu, C., Li, Y., & Zhang, X. (2025). Exploring H I Galaxy Redshift Survey Strategies for the FAST Core Array Interferometry. Research in Astronomy and Astrophysics, 25(5), 055008. https://doi.org/10.1088/1674-4527/adce90
  27. Xiong, Q., Gong, Y., Zhou, X., Lin, H., Deng, F., Li, Z., Ibitoye, A., Chen, X., Fan, Z., Guo, Q., Li, M., Liu, Y., & Pei, W. (2025). Exploring Cosmological Constraints of the Weak Gravitational Lensing and Galaxy Clustering Joint Analysis in the CSST Photometric Survey. \Apj, 985(1), 131. https://doi.org/10.3847/1538-4357/adcb44
  28. Zheng, Y., Xu, K., Zhao, D., Jing, Y. P., Gao, H., Luo, X., & Li, M. (2025). Photometric Objects Around Cosmic Webs (PAC). VII. Disentangling Mass and Environment Quenching with the Aid of Galaxy–Halo Connection in Simulations. \Apj, 984(2), 193. https://doi.org/10.3847/1538-4357/adc39a
  29. Shi, F., Tian, J., Ding, Z., Yang, X., Gu, Y., Saulder, C., Li, X., Liu, Y., Wang, Z., Zhan, H., Li, M., Li, X., Guo, H., Gong, Y., Han, Y., Li, C., Jing, Y., Sui, J., Wen, R., … Zhou, X. (2025). Cosmological distance forecasts for the CSST Galaxy Survey using BAO peaks. Science China Physics, Mechanics, and Astronomy, 68(4), 249511. https://doi.org/10.1007/s11433-024-2603-8
  30. Song, Y., Gong, Y., Xiong, Q., Chan, K. C., Chen, X., Guo, Q., Liu, Y., & Pei, W. (2025). 2D watershed void clustering for probing the cosmic large-scale structure. \Mnras, 538(1), 114–120. https://doi.org/10.1093/mnras/staf305
  31. Sui, J., Zou, H., Yang, X., Zheng, X., Wen, R., Gu, Y., Ding, W., Feng, L., Guo, H., Guo, W.-J., Han, Y., Jing, Y., Li, C., Li, W., Liu, S., Shen, Z., Singh, G., Wang, J., Wei, P., … Zhao, G. (2025). CSST large scale structure analysis pipeline: III. Emission-line redshift measurement for slitless spectra. \Mnras, 538(1), 395–407. https://doi.org/10.1093/mnras/staf304
  32. Jin, Z., Pasquato, M., Davis, B. L., Deleu, T., Luo, Y., Cho, C., Lemos, P., Perreault-Levasseur, L., Bengio, Y., Kang, X., Macciò, A. V., & Hezaveh, Y. (2025). Causal Discovery in Astrophysics: Unraveling Supermassive Black Hole and Galaxy Coevolution. \Apj, 979(2), 212. https://doi.org/10.3847/1538-4357/ad9ded
  33. Luo, X., Xu, K., Jing, Y., Gao, H., Li, H., Zhao, D., Han, J., Wei, C., & Luo, Y. (2025). Photometric Objects Around Cosmic Webs (PAC) Delineated in a Spectroscopic Survey. VIII. Revisiting the Lensing is Low Effect. ArXiv e-Prints, arXiv:2502.09404. https://doi.org/10.48550/arXiv.2502.09404
  34. Song, Y., Xiong, Q., Gong, Y., Deng, F., Chan, K. C., Chen, X., Guo, Q., Li, G., Li, M., Liu, Y., Luo, Y., Pei, W., & Wei, C. (2024). Cosmological Prediction of the Void and Galaxy Clustering Measurements in the CSST Spectroscopic Survey. \Apj, 976(2), 244. https://doi.org/10.3847/1538-4357/ad8de9
  35. Xu, K., Jing, Y. P., Gao, H., Luo, X., & Li, M. (2024). Accurate Measurement of the Lensing Magnification by BOSS CMASS Galaxies and Its Implications for Cosmology and Dark Matter. \Apj, 973(2), 102. https://doi.org/10.3847/1538-4357/ad6156
  36. Song, Y., Xiong, Q., Gong, Y., Deng, F., Chan, K. C., Chen, X., Guo, Q., Liu, Y., & Pei, W. (2024). Void number counts as a cosmological probe for the large-scale structure. \Mnras, 534(1), 128–134. https://doi.org/10.1093/mnras/stae2094
  37. Zhang, S., Fang, G., Song, J., Li, R., Gu, Y., Lin, Z., Zhou, C., Dai, Y., & Kong, X. (2024). Preparation for CSST: Star-galaxy Classification using a Rotationally Invariant Supervised Machine Learning Method. Research in Astronomy and Astrophysics, 24(9), 095012. https://doi.org/10.1088/1674-4527/ad6fe6
  38. Wang, Y., Yang, X., Gu, Y., Xu, X., Xu, H., Wang, Y., Katsianis, A., Han, J., He, M., Zheng, Y., Li, Q., Wang, Y., Hong, W., Wang, J., Tan, Z., Zou, H., Lange, J. U., Hahn, C. H., Behroozi, P., … Zhou, Z. (2024). Measuring the Conditional Luminosity and Stellar Mass Functions of Galaxies by Combining the Dark Energy Spectroscopic Instrument Legacy Imaging Surveys Data Release 9, Survey Validation 3, and Year 1 Data. \Apj, 971(1), 119. https://doi.org/10.3847/1538-4357/ad5294
  39. Song, Y., Xiong, Q., Gong, Y., Deng, F., Chan, K. C., Chen, X., Guo, Q., Han, J., Li, G., Li, M., Liu, Y., Luo, Y., Pei, W., & Wei, C. (2024). Cosmological forecast of the void size function measurement from the CSST spectroscopic survey. \Mnras, 532(1), 1049–1058. https://doi.org/10.1093/mnras/stae1575
  40. Zheng, Y., Xu, K., Jing, Y. P., Zhao, D., Gao, H., Luo, X., Han, J., Yu, Y., & Li, M. (2024). PAC. V. The Roles of Mass and Environment in the Quenching of Galaxies. \Apj, 969(2), 129. https://doi.org/10.3847/1538-4357/ad47f7
  41. Luo, X., Wang, H., Cui, W., Mo, H., Li, R. J., Jing, Y., Katz, N., Davé, R., Yang, X., Chen, Y., Li, H., & Huang, S. (2024). ELUCID. VIII. Simulating the Coma Galaxy Cluster to Calibrate Model and Understand Feedback. \Apj, 966(2), 236. https://doi.org/10.3847/1538-4357/ad392e
  42. Gu, Y., Yang, X., Han, J., Wang, Y., Li, Q., Tan, Z., Jiang, W., Wang, Y., Wang, J., Katsianis, A., Xu, X., Xu, H., Hong, W., Mo, H., Wen, R., Zheng, X., Shi, F., Zhang, P., Zhai, Z., … Luo, Y. (2024). CSST large-scale structure analysis pipeline: I. Constructing reference mock galaxy redshift surveys. \Mnras, 529(4), 4015–4027. https://doi.org/10.1093/mnras/stae762
  43. Pei, W., Guo, Q., Li, M., Wang, Q., Han, J., Hu, J., Su, T., Gao, L., Wang, J., Luo, Y., & Wei, C. (2024). Simulating emission line galaxies for the next generation of large-scale structure surveys. \Mnras, 529(4), 4958–4979. https://doi.org/10.1093/mnras/stae866
  44. Wen, R., Zheng, X. Z., Han, Y., Yang, X., Wang, X., Zou, H., Liu, F., Zhang, X., Zu, Y., Shi, D. D., Gu, Y., & Wang, Y. (2024). CSST large-scale structure analysis pipeline: II. The CSST Emulator for Slitless Spectroscopy. \Mnras, 528(2), 2770–2783. https://doi.org/10.1093/mnras/stae157
  45. Wang, Z., Shi, F., Yang, X., Li, Q., Liu, Y., & Li, X. (2024). (DarkAI) Mapping the large-scale density field of dark matter using artificial intelligence. Science China Physics, Mechanics, and Astronomy, 67(1), 219513. https://doi.org/10.1007/s11433-023-2192-9