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Christian Grech

Software Engineer at Quantum Diamonds GmbH.

Germany   G. Scholar LinkedIn Github e-Mail

My Publications

You can also browse my Google Scholar profile.

In progress

Journal Publications

  • Development of a Real-Time Magnetic Field Measurement System for Synchrotron Control,
    J. Vella Wallbank, M. Amodeo, A. Beaumont, M. Buzio, V. Di Capua, D. Giloteaux, C. Grech, N. Sammut
    Electronics (MDPI), 2021
    [BibTeX] [Link] [Project Page]

    	@Article{VellaWallbank2021,
    	AUTHOR = {Vella Wallbank, Joseph and Amodeo, Maria and Beaumont, Anthony and Buzio, Marco and Di Capua, Vincenzo and \underline{Christian Grech} and Sammut, Nicholas and Giloteaux, David},
    	TITLE = {Development of a Real-Time Magnetic Field Measurement System for Synchrotron Control},
    	JOURNAL = {Electronics},
    	VOLUME = {10},
    	YEAR = {2021},
    	URL = {https://www.mdpi.com/2079-9292/10/17/2140},
    	ISSN = {2079-9292},
    	DOI = {10.3390/electronics10172140}
    	}
    
  • Error Characterization and Calibration of Real-Time Magnetic Field Measurement Systems,
    C. Grech, M. Amodeo, A. Beaumont, M. Buzio, V. Di Capua, D. Giloteaux, N. Sammut, J. Vella Wallbank
    Nuclear Inst. and Methods in Physics Research, A (NIMA), Sep 2020
    [BibTeX] [Link] [Project Page]

    	@article{Grech2021,
    	title = {Error characterization and calibration of real-time magnetic field measurement systems},
    	journal = {Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment},
    	volume = {990},
    	year = {2021},
    	issn = {0168-9002},
    	doi = {https://doi.org/10.1016/j.nima.2020.164979},
    	url = {https://www.sciencedirect.com/science/article/pii/S0168900220313760},
    	author = {\underline{Christian Grech} and Maria Amodeo and Anthony Beaumont and Marco Buzio and Vincenzo Di Capua and David Giloteaux and Nicholas Sammut and Joseph Vella Wallbank}
    	}
    
  • Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model,
    C. Grech, M. Buzio, M. Pentella, N. Sammut
    Materials (MDPI), 2020
    [BibTeX] [Link] [Project Page]

    	@article{Grech2020,
    	author = {Grech, Christian and Buzio, Marco and Pentella, Mariano and Sammut, Nicholas},
    	doi = {10.3390/ma13112561},
    	journal = {Materials},
    	keywords = {ARMCO pure iron,Dynamic hysteresis loop,Machine learning,Magnetic properties,Particle accelerators,Preisach,Recurrent neural networks},
    	number = {11},
    	pages = {2561},
    	pmid = {32512774},
    	publisher = {Multidisciplinary Digital Publishing Institute},
    	title = {Dynamic ferromagnetic hysteresis modelling using a Preisach-recurrent neural network model},
    	url = {https://www.mdpi.com/1996-1944/13/11/2561},
    	volume = {13},
    	year = {2020}
    	}
    
  • A Magnetic Measurement Model for Real-Time Control of Synchrotrons,
    C. Grech, M. Buzio, N. Sammut
    Transactions on Instrumentation and Measurement (IEEE) 2020
    [BibTeX] [Link] [Project Page]

    @ARTICLE{Grech2020a,
    	author={C. {Grech} and M. {Buzio} and N. {Sammut}},
    	journal={IEEE Transactions on Instrumentation and Measurement},
    	title={A Magnetic Measurement Model for Real-Time Control of Synchrotrons},
    	year={2020},
    	volume={69},
    	number={2},
    	pages={393-400},}
    
  • Metrological Characterization of Nuclear Magnetic Resonance Markers for Real-time Field Control of the CERN ELENA Ring Dipoles,
    C. Grech, R. Avramidou, A. Beaumont, M. Buzio, N. Sammut, J. Tinembart
    Sensors Journal (IEEE), 2018
    [BibTeX] [Link] [Project Page]

    @ARTICLE{Grech2018,
    	author={C. {Grech} and R. {Avramidou} and A. {Beaumont} and M. {Buzio} and N. {Sammut} and J. {Tinembart}},
    	journal={IEEE Sensors Journal},
    	title={Metrological Characterization of Nuclear Magnetic Resonance Markers for Real-Time Field Control of the CERN ELENA Ring Dipoles},
    	year={2018},
    	volume={18},
    	number={14},
    	pages={5826-5833},}
    

Conference Papers

  • Machine Learning Applied for the Calibration of the Hard X-Ray Single-Shot Spectrometer at the European XFEL
    C. Grech, G. Geloni, M. Guetg
    13th International Particle Accelerator Conference (IPAC'22), 2022
    [BibTeX] [Link] [Project Page]

    		@inproceedings{Grech2022,
    		  author       = {C. Grech and G. Geloni and M.W. Guetg},
    		  title        = {Machine Learning Applied for the Calibration of the Hard X-Ray Single-Shot Spectrometer at the European XFEL},
    		  booktitle    = {Proc. IPAC'22},
    		% booktitle    = {Proc. 13th International Particle Accelerator Conference (IPAC'22)},
    		  pages        = {965--968},
    		  eid          = {TUPOST046},
    		  language     = {english},
    		  keywords     = {FEL, photon, controls, laser, operation},
    		  venue        = {Bangkok, Thailand},
    		  series       = {International Particle Accelerator Conference},
    		  number       = {13},
    		  publisher    = {JACoW Publishing, Geneva, Switzerland},
    		  month        = {07},
    		  year         = {2022},
    		  issn         = {2673-5490},
    		  isbn         = {978-3-95450-227-1},
    		  doi          = {10.18429/JACoW-IPAC2022-TUPOST046},
    		  url          = {https://jacow.org/ipac2022/papers/tupost046.pdf},
    		  abstract     = {Single-crystal monochromators are used in free electron lasers for hard x-ray self-seeding, selecting a very narrow spectral range of the original SASE signal for further amplification. When rotating the crystal around the roll and pitch axes, one can exploit several symmetric and asymmetric reflections as established by Bragg's law. This work describes the implementation of a machine learning classifier to identify the crystal indices corresponding to a given reflection, and eventually calculate the difference between the photon energy as measured by a single-shot spectrometer and the actual one. The image processing techniques to extract the properties of the crystal reflection are described, as well as how this information is used to calibrate two spectrometer parameters.},
    		}
    		
  • Performance comparison of Nuclear Magnetic Resonance and FerriMagnetic Resonance field markers for the control of low-energy Synchrotrons,
    C. Grech, A. Beaumont, M. Buzio, N. Sammut
    XXII World Congress of the International Measurement Confederation (IMEKO 2018), 2018
    [BibTeX] [Link] [Project Page]

    @article{Grech_2018b,
    	doi = {10.1088/1742-6596/1065/5/052022},
    	url = {https://doi.org/10.1088%2F1742-6596%2F1065%2F5%2F052022},
    	year = 2018,
    	month = {aug},
    	publisher = {IOP Publishing},
    	volume = {1065},
    	pages = {052022},
    	author = {Christian Grech and Anthony Beaumont and Marco Buzio and Nicholas Sammut},
    	title = {Performance comparison of Nuclear Magnetic Resonance and {FerriMagnetic} Resonance field markers for the control of low-energy Synchrotrons},
    	journal = {Journal of Physics: Conference Series},}
    				
  • Using neural networks for simultaneous and proportional estimation of upper arm kinematics,
    C. Grech, T. Camilleri, M. Bugeja
    Mediterranean Conference in Control and Automation (IEEE), 2017
    [BibTeX] [Link] [Project Page]

    @INPROCEEDINGS{Grech2017,
    	author={C. {Grech} and T. {Camilleri} and M. {Bugeja}},
    	booktitle={2017 25th Mediterranean Conference on Control and Automation (MED)},
    	title={Using neural networks for simultaneous and proportional estimation of upper arm kinematics},
    	year={2017},
    	pages={247-252},}