First-author publications

Co-authored papers and minor contributions

  • advising Ricci et al (2017) - Growing supermassive black holes in the late stages of galaxy mergers are heavily obscured https://arxiv.org/abs/1701.04825 Advising on statistical techniques.
  • advising Yang et al (2016) - Long-Term X-ray Variability of Typical Active Galactic Nuclei in the Distant Universe https://arxiv.org/abs/1608.08224. Some hints regarding X-ray analyses.
  • advising Rosas-Guevara et al (2016) - Supermassive black holes in the EAGLE Universe. Revealing the observables of their growth https://arxiv.org/abs/1604.00020
  • Fotopoulou, Buchner et al (2016) - The 5 - 10 keV AGN luminosity function at 0.01<z<4.0 https://arxiv.org/abs/1601.06002. I assisted with statistical and computing techniques for this ultra-hard LF work.
  • Liu et al (2016) - X-ray spectral properties of the AGN sample in the northern XMM-XXL field https://arxiv.org/abs/1507.07558 Contributed to analysis (BXA, scripts)
  • Georgakakis et al (2016) The X-ray luminosity function of Active Galactic Nuclei in the redshift interval z=3-5 https://arxiv.org/abs/1605.00207.
  • advising Chen et al (2015) - Stability of Gas Clouds in Galactic Nuclei: An Extended Virial Theorem https://arxiv.org/abs/1506.08196
  • Menzel et al (2015) - A Spectroscopic Survey of X-ray Selected AGN in the Northern XMM-XXL Field https://arxiv.org/abs/1511.07870
  • Georgakakis, Aird, Buchner et al (2015) - The X-ray luminosity function of Active Galactic Nuclei in the redshift interval z=3-5 https://arxiv.org/abs/1507.07558.
  • Merloni (2015) - Observing Supermassive Black Holes across cosmic time: from phenomenology to physics. https://arxiv.org/abs/1505.04940 Contributed figures and analysis.
  • advising Burgess et al (2015) - The Rest-Frame Golenetskii Correlation via a Hierarchical Bayesian Analysis https://arxiv.org/abs/1512.01059
  • advising Ponti et al (2015) - Fifteen years of XMM-Newton and Chandra monitoring of Sgr A*: Evidence for a recent increase in the bright flaring rate https://arxiv.org/abs/1507.02690 Advising on Bayesian Blocks algorithms.
  • advising de Souza et al (2015) - The Overlooked Potential of Generalized Linear Models in Astronomy-III: Bayesian Negative Binomial Regression and Globular Cluster Populations https://arxiv.org/abs/1506.04792
  • advising Zwart et al (2015) - Far beyond stacking: Fully bayesian constraints on sub-microJy radio source populations over the XMM-LSS-VIDEO field https://arxiv.org/abs/1503.02493
  • advising Killedar et al (2015) - Weighted ABC: a new strategy for cluster strong lensing cosmology with simulations https://arxiv.org/abs/1507.05617
  • Hsu et al (2014) - CANDELS/GOODS-S, CDFS, ECDFS: Photometric Redshifts For Normal and for X-Ray-Detected Galaxies https://arxiv.org/abs/1409.7119. Programmed a new catalogue matching technique.
  • advising Zhang et al (2014) https://arxiv.org/abs/1405.4867
  • advising Brightman et al (2014) https://arxiv.org/abs/1406.4502
  • Athena Whitepaper - Nandra et al (2013) - The Hot and Energetic Universe: A White Paper presenting the science theme motivating the Athena+ mission https://arxiv.org/abs/1306.2307
  • Athena Whitepaper - Georgakakis et al (2013) - The Hot and Energetic Universe: Understanding the build-up of supermassive black holes and galaxies at the heyday of the Universe https://arxiv.org/abs/1306.2328 Contributed simulations of warm absorbers detection using my Bayesian spectral analysis technique.
  • supporting Diaferio et al (2011): “Gamma-ray bursts as cosmological probes: LambdaCDM vs. conformal gravity" http://arxiv.org/abs/1103.5501: APEMoST MCMC code
  • supporting Alexander & Gulyaev (2012) - On the Apparent Narrowing of Radio Recombination Lines at High Principal Quantum Numbers http://adsabs.harvard.edu/abs/2012ApJ...745..194A Writing algorithms to analyze spacecraft velocities (MEX, VEX) and radio recombination lines from radio telescope observations in Warkwarth, New Zealand.
  • supporting Gruberbauer et al (2009): “On the detection of Lorentzian profiles in a power spectrum: A Bayesian approach using ignorance priors" http://arxiv.org/abs/0811.3345