Here you can find my recent research projects (link to ADS list of publications).

First author papers:

Second author papers:

Contributing author papers:

Li, R., Napolitano, N. R., Spiniello, C., Tortora, C., et al., High-quality Strong Lens Candidates in the Final Kilo-Degree Survey Footprint, 2021, ApJ, 923, 1, 16

Ruiz-Zapatero, J., Stölzner, B., Joachimi, B., et al., Geometry versus growth. Internal consistency of the flat CDM model with KiDS-1000, 2021, A&A, 655, A11

Schneider, P., Asgari, M., Najafi Jozani, Y., et al., Pure-mode correlation functions for cosmic shear and application to KiDS-1000, 2021, arXiv:2110.09774

Loureiro, A., Whittaker, L., Spurio Mancini, A., Joachimi, B., et al., KiDS & Euclid: Cosmological implications of a pseudo angular power spectrum analysis of KiDS-1000 cosmic shear tomography, 2021, arXiv:2110.06947

Tröster, T., Mead, A. J., Heymans, C., Yan, Z., et al., Joint constraints on cosmology and the impact of baryon feedback: combining KiDS-1000 lensing with the thermal Sunyaev- Zeldovich effect from Planck and ACT, 2021, arXiv:2109.04458

Brouwer, M. M., Oman, K. A., Valentijn, E. A., et al., The weak lensing radial acceleration relation: Constraining modified gravity and cold dark matter theories with KiDS-1000, 2021, A&A, 650, A113

Robertson, N. C., Alonso, D., Harnois-Déraps, J., et al., Strong detection of the CMB lensing and galaxy weak lensing cross-correlation from ACT-DR4, Planck Legacy, and KiDS-1000, 2021, A&A, 649, A146

Tröster, T., Asgari, M., Blake, C., et al., KiDS-1000 Cosmology: Constraints beyond flat CDM, 2021, A&A, 649, A88

Nakoneczny, S. J., Bilicki, M., Pollo, A., et al., Photometric selection and redshifts for quasars in the Kilo-Degree Survey Data Release 4, 2021, A&A, 649, A81

Johnston, H., Wright, A. H., Joachimi, B., et al., Organised randoms: Learning and correcting for systematic galaxy clustering patterns in KiDS using self-organising maps, 2021, A&A, 648, A98

Georgiou, C., Hoekstra, H., Kuijken, K., et al., Halo shapes constrained from a pure sample of central galaxies in KiDS-1000, 2021, A&A, 647, A185

Hildebrandt, H., van den Busch, J. L., Wright, A. H., et al., KiDS-1000 catalogue: Redshift distributions and their calibration, 2021, A&A, 647, A124

Asgari, M., Friswell, I., Yoon, M., et al., Minimizing the impact of scale-dependent galaxy bias on the joint cosmological analysis of large-scale structures, 2021, MNRAS, 501, 3003

Heymans, C., Tröster, T., Asgari, M., et al., KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints, 2021, A&A, 646, A140

Joachimi, B., Lin, C., Asgari, M., Tröster, T., et al., KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis, 2021, A&A, 646, A129

Giblin, B., Heymans, C., Asgari, M., Hildebrandt, H., et al., KiDS-1000 catalogue: Weak gravitational lensing shear measurements, 2021, A&A, 645, A105

Asgari, M., Lin, C., Joachimi, B., Giblin, B., Heymans, C., et al., KiDS-1000 cosmology: Cosmic shear constraints and comparison between two point statistics, 2021, A&A, 645, A104

Taylor, E. N., Cluver, M. E., Duffy, A., Gurri, P., et al., GAMA+KiDS: empirical correlations between halo mass and other galaxy properties near the knee of the stellar-to-halo mass relation, 2020, MNRAS, 499, 2896

Blake, C., Amon, A., Asgari, M., Bilicki, M., Dvornik, A., Testing gravity using galaxy- galaxy lensing and clustering amplitudes in KiDS-1000, BOSS, and 2dFLenS, 2020, A&A, 642, A158

Georgiou, C., Chisari, N. E., Fortuna, M. C., et al., GAMA+KiDS: Alignment of galaxies in galaxy groups and its dependence on galaxy scale, 2019, submitted to A&A

Kuijken, K., Heymans, C., Dvornik, A., Hildebrandt, H., de Jong, J.T.A., Wright A.H., et al., The fourth data release of the Kilo-Degree Survey: ugri imaging and nine-band optical-IR photometry over 1000 square degrees, 2019, A&A, 625, A2

Petrillo, C. E., Tortora, C., Vernardos, G., Koopmans, L. V. E., Verdoes Kleijn, G., et al., LinKS: Discovering galaxy-scale strong lenses in the Kilo-Degree Survey using Convolutional Neural Networks, 2019, MNRAS, 484, 3879