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Oisin Creaner

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Dr. Oisín Creaner Ph.D. B.A. (mod)
Postdoctoral Fellow
NESAP for Data
1 Cyclotron Road
Building 59, Desk 4028A
Berkeley, California 94720 US

Biographical Sketch

Oisín Creaner is a NESAP for Data Postdoctoral Fellow working with the LUX ZEPLIN Dark Matter detection project. Oisín's current work centers on enabling GPU-accelerated ray tracing of optical photon simulations in the LZ detector.

Oisín was awarded a PhD by the Institute of Technology, Tallaght, Dublin (now Technological University, Dublin) in 2017, having completed a project entitled "Data Mining by Grid Computing in the Search for Extrasolar Planets" under Dr. Eugene Hickey and Kevin Nolan.  Prior to that he was awarded a B.A. (mod) in Physics with Astrophysics by the University of Dublin, Trinity College in 2007.

Before joining LBNL, Oisín was a postdoctoral scholar at the Dublin Institute for Advanced Studies working on the Radionet RINGS project as a software developer from 2018-2019.  Before that he was an Associate Lecturer in Computer Science at National College of Ireland and Dublin Institute of Technology (later Technological University, Dublin) from 2013-2018, specialising in Data Analytics.

Publications:

Creaner, O., Nolan, K., Smith, N., Grennan, D. and Hickey, E. A Catalogue of Locus Algorithm Pointings for Optimal Differential Photometry for 23,779 Quasars, Monthly Notices of the Royal Astronomical Society https://doi.org/10.1093/mnras/staa2494

Creaner, O. and Carozzi, T.D., 2019. beamModelTester: software framework for testing radio telescope beams. Astronomy and Computing, 28, p.100311 https://doi.org/10.1016/j.ascom.2019.100311

Creaner, O., 2019. beamModelTester: Model evaluation for fixed antenna phased array radio telescopes. Astrophysics Source Code Library. http://ascl.net/1905.006

Creaner, O., 2017. Data Mining by Grid Computing in the Search for Extrasolar Planets, QQI/Institute of Technology, Tallaght, Dublin https://doi.org/10.21427/7w45-6018

Creaner, O., Hickey, E., Nolan, K., Briain, T. and Smith, N., 2010, December. Large-Catalogue Optimisation of Quasar Differential Photometry Fields by Grid Computing. In Astronomical Data Analysis Software and Systems XIX (Vol. 434, p. 505). http://adsabs.harvard.edu/abs/2010ASPC..434..505C