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Soft X-ray prompt emission from the high-redshift gamma-ray burst EP240315a
Yuan Liu, Hui Sun, D. Xu, D. Svinkin, James DeLaunay, N. R. Tanvir, Yong Chen, Xue-Feng Wu, Bing Zhang, Weimin Yuan, Jie An, G. Bruni, D. Frederiks, G. Ghirlanda, Jiaochan Hu, A. Li, Cheng-Kui Li, Jiandong Li, D. B. Malesani, L. Piro, Gayathri Raman, R. Ricci, E. Troja, S. D. Vergani, Qinyu Wu, Jun Yang, Bin‐Bin Zhang, Zi-Pei Zhu, A. de Ugarte Postigo, A. G. Demin, Dougal Dobie, Sheng Fu, J. P. U. Fynbo, Jin-Jun Geng, Giulia Gianfagna, Y. D. Hu, Yong-Feng Huang, Shaoen Jiang, P. G. Jonker, Y. Julakanti, J. A. Kennea, A. A. Kokomov, E. Kuulkers, Wei‐Hua Lei, J. K. Leung, A. J. Levan, Dongyang Li, Yufei Li, S. P. Littlefair, Xin Liu, A. Lysenko, A. Martín-Carrillo, P. T. O’Brien, Tyler Parsotan, J. Quirola-Vásquez, A. Ridnaia, S. Ronchini, A. Rossi, D. Mata Sánchez, Benjamin Schneider, Rong-Feng Shen, Aishwarya Linesh Thakur, A. Tohuvavohu, M. A. P. Torres, A. Tsvetkova, M. Ulanov, Jun-Jie Wei, Di Xiao, Yi-Han Iris Yin, Miaomiao Bai, V. Burwitz, Zhiquan Cai, F.-S. Chen, H.-L. Chen, T.X. Chen, Wenjun Chen, Yifan Chen, Y.-H. Chen, Haiyang Cheng, B. Cordier, Chenzhou Cui, Weiwei Cui, Ya Dai, Zi-Gao Dai, Josef Eder, R. A. J. Eyles-Ferris, Dawei Fan, C. Feldman, Hua Feng, Zhaozhong Feng, P. Friedrich, Xing Gao, Jean-François Gonzalez, Ju Guan, Danxiang Han, Jaemin Han, Dongjie Hou, H. B. Hu, J. F. Hu, Ming‐Hsi Huang, J. Huo, I. Hutchinson, Zhen Ji, S. M. Jia, Bowen Jiang, Chichuan Jin, Jianhui Jin, Arnoud Keereman, Hannah Lerman, Jing‐Feng Li, Hua-Li Li, M.-S. Li, Wenxiong Li, Zai-Dong Li, Tzi-Wei Lian, En‐Wei Liang, Z.-X. Ling, Chen Liu, H.-Y. Liu, H.-Q. Liu, Mingjun Liu, Y.-R. Liu, F. J. Lu, Hou-Jun Lü, Laidan Luo, F. L., Jingzhe Ma, J.R Mao, X. Mao, Melissa McHugh, Norbert Meidinger, K. Nandra, J. P. Osborne, H.-W. Pan, Xiaofan Pan, M. E. Ravasio, A. Rau, N. Rea, Umer Rehman, J. S. Sanders, A. Santovincenzo, L. M. Song, Jie Su, Li Sun, Suli Sun, Xiaobin Sun, Yuyan Tan, Qianjun Tang, Yongding Tao, Junlong Tong, Chih‐Yuan Wang, Hui Wang, Juan Wang, Lei Wang, W.-X. Wang, Xiaofeng Wang, Xiang‐Yu Wang, Y S Wang, Yi‐Sheng Wang, Da-Ming Wei, R. Willingale, S. L. Xiong, Hong‐Tao Xu, Jie Xu, Xiaopeng Xu, Yanfeng Xu, Zhijun Xu, Changbin Xue, Yi Xue, Ailiang Yan, F. Yang, Haonan Yang, Xiaodong Yang, Yao‐Joe Yang, Yangyi Yu, Juan Zhang, M. Zhang, Shuang‐Nan Zhang, Wensheng Zhang, W.-J. Zhang, Y.-H. Zhang, Zhen Zhang, Zhipeng Zhang, Donghai Zhao, Huasheng Zhao, Xiao‐Fan Zhao, Zhihe Zhao, Linkang Zhou, Yiguo Zhou, Yu Zhu, Zhichao Zhu, X. Zuo
Bibliographic record
VenueNature Astronomy · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGamma-ray bursts and supernovae
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of Toronto
FundersYouth Innovation Promotion AssociationYouth Innovation Promotion Association of the Chinese Academy of SciencesScience and Technology Facilities CouncilNational Research FoundationMinistero dell’Istruzione, dell’Università e della RicercaCentre National d’Etudes SpatialesChinese Academy of SciencesIoffe InstituteNational Natural Science Foundation of ChinaNational Aeronautics and Space AdministrationEuropean Space AgencyDanmarks GrundforskningsfondEuropean Commission
KeywordsAstrophysicsGamma-ray burstRedshiftPhysicsGamma rayAstronomySoft X-raysX-rayOpticsGalaxy
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.005
GPT teacher head0.228
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
Study designObservational
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations49
Published2025
Admission routes1
Has abstractno