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[n]	A. Nause, E. Dyunin, and A. Gover, “3D Simulations Proof Shot Noise Control and Reduction by Collective Coulomb Interaction”, in Proc. FEL'09, Liverpool, UK, Aug. 2009, paper MOPC01, pp. 35-38. 
[n]	A. M. Vetter, T. L. Buller, T. D. Hayward, D. R. Smith, and V. S. Starkovich, “APLE Accelerator Prototype Cavity Fabrication and Low Power Tests”, in Proc. PAC'93, Washington D.C., USA, Mar. 1993, pp. 1075-1078. 
[n]	A. Gover and A. Nause, “Computational Model Analysis for Experimental Observation of Optical Current Noise Suppression Below the Shot-noise Limit”, in Proc. LINAC'12, Tel Aviv, Israel, Sep. 2012, paper TH2A004, pp. 783-786. 
[n]	G. Geloni, V. Kocharyan, E. Saldin, S. Serkez, and M. Tolkiehn, “Wake Monochromator in Asymmetric and Symmetric Bragg and Laue Geometry for Self-seeding the European X-ray FEL”, in Proc. FEL'13, New York, NY, USA, Aug. 2013, paper WEPSO20, pp. 538-545. 
[n]	A. Gover and A. Nause, “Computational Model Analysis for Experimental Observation of Optical Current Noise Suppression below the Shot-Noise Limit”, in Proc. LINAC'12, Tel Aviv, Israel, Sep. 2012, paper TUPLB05, pp. 451-454. 
[n]	S. Serkez, G. Geloni, V. Kocharyan, and E. Saldin, “Grating Monochromator for Soft X-ray Self-seeding the European XFEL”, in Proc. FEL'13, New York, NY, USA, Aug. 2013, paper WEPSO64, pp. 667-674. 
[n]	S. C. Gottschalk, R. N. Kelly, C. Joshi, S. Tochitsky, and S. Reiche, “UCLA Seeded THz FEL Undulator Buncher Design”, in Proc. FEL'12, Nara, Japan, Aug. 2012, paper WEPD68, pp. 527-530. 
[n]	D. B. Cesar and P. Musumeci, “Transverse Beam Dynamics in Plasma Guided Laser Driven Acceleration”, in Proc. NAPAC'13, Pasadena, CA, USA, Sep.-Oct. 2013, paper MOPAC27, pp. 126-128. 
[n]	A. Gover and A. Nause, “Computational Model Analysis for Experimental Observation of Optical Current Noise Suppression Below the Shot-noise Limit”, in Proc. LINAC'12, Tel Aviv, Israel, Sep. 2012, paper TUPB005, pp. 482-485. 
[n]	R. Roussel et al., “Efficient 6-dimensional phase space reconstructions from experimental measurements using generative machine learning”, presented at the LINAC'24, Chicago, IL, USA, Aug. 2024, paper THPB065, unpublished. 

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