Qualifications
- MPhys (Durham University)
- PhD / DPhil (Durham University)
Summary
Daniel completed his undergraduate and postgraduate studies at Durham University, graduating with a Ph.D in the field of astronomy.
He spent around 8 years in Germany as a postdoctoral researcher studying cosmology, galaxy surveys and the large scale structure of the Universe.
He is a teaching fellow and Director of Education at the Centre of Excellence for Data Science, AI and Modelling at the University of Hull.
Journal Article
Absorption Troughs of Lyα Emitters in HETDEX
Weiss, L. H., Davis, D., Gebhardt, K., Gazagnes, S., Mirza Khanlari, M., Mentuch Cooper, E., …Zeimann, G. R. (2024). Absorption Troughs of Lyα Emitters in HETDEX. The Astrophysical journal, 962(2), Article 102. https://doi.org/10.3847/1538-4357/ad1b51
The Preexplosion Environments and the Progenitor of SN 2023ixf from the Hobby-Eberly Telescope Dark Energy Experiment (HETDEX)
Liu, C., Chen, X., Er, X., Zeimann, G. R., Vinkó, J., Wheeler, J. C., …Liu, X. (2023). The Preexplosion Environments and the Progenitor of SN 2023ixf from the Hobby-Eberly Telescope Dark Energy Experiment (HETDEX). Astrophysical journal. Letters, 958(2), Article L37. https://doi.org/10.3847/2041-8213/ad0da8
HETDEX Public Source Catalog 1—Stacking 50,000 Lyman Alpha Emitters ∗
Davis, D., Gebhardt, K., Cooper, E. M., Bowman, W. P., Garcia Castanheira, B., Chisholm, J., …Zeimann, G. (2023). HETDEX Public Source Catalog 1—Stacking 50,000 Lyman Alpha Emitters ∗. The Astrophysical journal, 954(2), Article 209. https://doi.org/10.3847/1538-4357/ace4c2
Cosmological-scale Lyα Forest Absorption around Galaxies and AGNs Probed with the HETDEX and SDSS Spectroscopic Data
Sun, D., Mawatari, K., Ouchi, M., Ono, Y., Yajima, H., Zhang, Y., …Schneider, D. P. (2023). Cosmological-scale Lyα Forest Absorption around Galaxies and AGNs Probed with the HETDEX and SDSS Spectroscopic Data. The Astrophysical journal, 951(1), Article 25. https://doi.org/10.3847/1538-4357/accf88
Using Dark Energy Explorers and Machine Learning to Enhance the Hobby-Eberly Telescope Dark Energy Experiment
House, L. R., Gebhardt, K., Finkelstein, K., Cooper, E. M., Davis, D., Ciardullo, R., …Zeimann, G. (2023). Using Dark Energy Explorers and Machine Learning to Enhance the Hobby-Eberly Telescope Dark Energy Experiment. The Astrophysical journal, 950(2), Article 82. https://doi.org/10.3847/1538-4357/accdd0