I am only listing papers in which I either invested significant time and made a significant contribution, or which I co-authored but find especially noteworthy for other reasons.

 

Find a full list of my publications on ORCID: https://orcid.org/0000-0001-5687-6392

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Low-Energy Backgrounds in Solid-State Phonon and Charge Detectors. Daniel Baxter, Rouven Essig, Yonit Hochberg, Margarita Kaznacheeva, Belina von Krosigk, Florian Reindl, Roger K. Romani and Felix Wagner. Annual Review of Nuclear and Particle Science Vol. 75, (2025).

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Optimal operation of cryogenic calorimeters through deep reinforcement learning. The CRESST collaboration (corresponding author: F.Wagner). Comput Softw Big Sci. Volume 8, article number 10, (2024).

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Towards an automated data cleaning with deep learning in CRESST. The CRESST collaboration (corresponding author: F.Wagner), Eur. Phys. J. Plus 138, 100 (2023).

Cait: analysis toolkit for cryogenic particle detectors in Python. F. Wagner et al. (2022), Comput Softw Big Sci 6, 19 (2022).

Testing spin-dependent dark matter interactions with lithium targets in CRESST-III. The CRESST collaboration (2022, corresponding authors: A. Bertolini, S. Gupta, F. Wagner), Phys. Rev. D 106, 092008 (2022).

EXCESS workshop: Descriptions of rising low energy spectra. A. Fuss, M. Kaznacheeva, F. Reindl, F. Wagner (editors, 2022), SciPost Phys. Proc. 9, 001(2022).

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Nonlinear pile-up separation with LSTM neural networks. F. Wagner, 2021. arXiv:2112.06792, contribution to the Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021).