Citing PyHermes#
If PyHermes contributes to a publication, presentation, or released data
product, please cite the software version used and the four papers below.
Together, they describe the MRACS foundation, the in-situ field–window
formulation, the isotropic 3PCF multipole algorithm, and the complete
Hermes/PyHermes framework. GitHub and compatible reference managers can read
the repository’s CITATION.cff file directly.
Software citation#
Please include the version of PyHermes used in the analysis:
@software{pyhermes_software_2026,
author = {Long-Long Feng and Tengpeng Xu and Tian-Cheng Luan and collaborators},
title = {PyHermes: High-performance multiresolution cosmic statistics in Python},
year = {2026},
version = {1.1.0},
url = {https://github.com/SYSUSPA-Projects/PyHermes}
}
Required papers#
The accompanying Hermes/PyHermes paper is available as
arXiv:2607.23494 [astro-ph.CO]. The first entry below follows the BibTeX
record supplied by arXiv.
@misc{feng2026hermesoptimalhighperformance,
title = {Hermes - Towards an Optimal High-Performance Algorithm
for Cosmic Statistics of Large Data Sets},
author = {Long-long Feng and Tengpeng Xu and Tian-Cheng Luan
and Jiawei Li and Xin Sun and Wenjie Ju and Zhuoyang Li
and Shiyu Yue and Weishan Zhu and Yan-Chuan Cai},
year = {2026},
eprint = {2607.23494},
archivePrefix = {arXiv},
primaryClass = {astro-ph.CO},
url = {https://arxiv.org/abs/2607.23494}
}
@article{Feng2007,
author = {Feng, Long-Long},
title = {The Beylkin-Cramer Summation Rule and a New Fast Algorithm of
Cosmic Statistics for Large Data Sets},
journal = {The Astrophysical Journal},
volume = {658},
number = {1},
pages = {25--35},
year = {2007},
doi = {10.1086/511024},
eprint = {astro-ph/0512167}
}
@article{Yue2024,
author = {Yue, Shiyu and Feng, Longlong and Ju, Wenjie and Pan, Jun
and Huang, Zhiqi and Fang, Feng and Li, Zhuoyang
and Cai, Yan-Chuan and Zhu, Weishan},
title = {Pair counting without binning -- a new approach to correlation
functions in clustering statistics},
journal = {Monthly Notices of the Royal Astronomical Society},
volume = {535},
number = {4},
pages = {3500--3516},
year = {2024},
doi = {10.1093/mnras/stae2513}
}
@article{Ju2026,
author = {Ju, Wenjie and Feng, Longlong and Huang, Zhiqi and Sun, Xin
and Zhu, Weishan},
title = {An optimal in situ multipole algorithm for the isotropic
three-point correlation function},
journal = {Monthly Notices of the Royal Astronomical Society},
volume = {546},
number = {1},
pages = {staf2275},
year = {2026},
doi = {10.1093/mnras/staf2275}
}
Please also cite the scientific datasets, simulations, and external methods used in a particular analysis. A PyHermes citation does not replace those method-specific references.