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2. The new vessel complex for the RFX-mod2 experiment: An effective synergy between fusion research and technological development

Author

Peruzzo, S, Aprile, D, Dalla Palma, M, Pavei, M, Rizzetto, D, Rizzolo, A, Abate, D, Agostinetti, P, Agostini, M, Andreani, R, Anselmi, F, Battistin, F, Bernardi, A, Bernardi, M, Berton, G, Bettini, P, Bigi, M, Bonotto, M, Brombin, M, Canton, A, Carraro, L, Cavazzana, R, Cordaro, L, Corniani, G, Dal Bello, S, De Lorenzi, A, De Masi, G, Degli Agostini, F, Franchin, L, Franz, P, Gambetta, G, Gnesotto, F, Grando, L, Innocente, P, Laterza, B, Lotto, L, Manfrin, S, Marchiori, G, Marconato, N, Marcuzzi, D, Marrelli, L, Martines, E, Moresco, M, Novella, A, Piovan, R, Pomaro, N, Rossetto, F, Siragusa, M, Sonato, P, Spagnolo, S, Spolaore, M, Taliercio, C, Terranova, D, Tiso, A, Trevisan, L, Valente, M, Valisa, M, Zaupa, M, Zuin, M, Peruzzo S., Aprile D., Dalla Palma M., Pavei M., Rizzetto D., Rizzolo A., Abate D., Agostinetti P., Agostini M., Andreani R., Anselmi F., Battistin F., Bernardi A., Bernardi M., Berton G., Bettini P., Bigi M. A., Bonotto M., Brombin M., Canton A., Carraro L., Cavazzana R., Cordaro L., Corniani G., Dal Bello S., De Lorenzi A., De Masi G., Degli Agostini F., Franchin L., Franz P., Gambetta G., Gnesotto F., Grando L., Innocente P., Laterza B., Lotto L., Manfrin S., Marchiori G., Marconato N., Marcuzzi D., Marrelli L., Martines E., Moresco M., Novella A., Piovan R., Pomaro N., Rossetto F., Siragusa M., Sonato P., Spagnolo S., Spolaore M., Taliercio C., Terranova D., Tiso A., Trevisan L., Valente M., Valisa M., Zaupa M., Zuin M., Peruzzo, S, Aprile, D, Dalla Palma, M, Pavei, M, Rizzetto, D, Rizzolo, A, Abate, D, Agostinetti, P, Agostini, M, Andreani, R, Anselmi, F, Battistin, F, Bernardi, A, Bernardi, M, Berton, G, Bettini, P, Bigi, M, Bonotto, M, Brombin, M, Canton, A, Carraro, L, Cavazzana, R, Cordaro, L, Corniani, G, Dal Bello, S, De Lorenzi, A, De Masi, G, Degli Agostini, F, Franchin, L, Franz, P, Gambetta, G, Gnesotto, F, Grando, L, Innocente, P, Laterza, B, Lotto, L, Manfrin, S, Marchiori, G, Marconato, N, Marcuzzi, D, Marrelli, L, Martines, E, Moresco, M, Novella, A, Piovan, R, Pomaro, N, Rossetto, F, Siragusa, M, Sonato, P, Spagnolo, S, Spolaore, M, Taliercio, C, Terranova, D, Tiso, A, Trevisan, L, Valente, M, Valisa, M, Zaupa, M, Zuin, M, Peruzzo S., Aprile D., Dalla Palma M., Pavei M., Rizzetto D., Rizzolo A., Abate D., Agostinetti P., Agostini M., Andreani R., Anselmi F., Battistin F., Bernardi A., Bernardi M., Berton G., Bettini P., Bigi M. A., Bonotto M., Brombin M., Canton A., Carraro L., Cavazzana R., Cordaro L., Corniani G., Dal Bello S., De Lorenzi A., De Masi G., Degli Agostini F., Franchin L., Franz P., Gambetta G., Gnesotto F., Grando L., Innocente P., Laterza B., Lotto L., Manfrin S., Marchiori G., Marconato N., Marcuzzi D., Marrelli L., Martines E., Moresco M., Novella A., Piovan R., Pomaro N., Rossetto F., Siragusa M., Sonato P., Spagnolo S., Spolaore M., Taliercio C., Terranova D., Tiso A., Trevisan L., Valente M., Valisa M., Zaupa M., and Zuin M.

Published
2023

4. Tactile innervation densities across the whole body

Author

Corniani, G. and Saal, H.P.

Subjects
integumentary system
Abstract

The skin is our largest sensory organ and innervated by afferent fibers carrying tactile information to the spinal cord and onto the brain. The density with which different classes of tactile afferents innervate the skin is not constant but varies considerably across different body regions. However, precise estimates of innervation density are only available for some body parts, such as the hands, and estimates of the total number of tactile afferent fibers are inconsistent and incomplete. Here we reconcile different estimates and provide plausible ranges and best estimates for the number of different tactile fiber types innervating different regions of the skin, using evidence from dorsal root fiber counts, microneurography, histology, and psychophysics. We estimate that the skin across the whole body of young adults is innervated by approximately 230,000 tactile afferent fibers (plausible range: 200,000-270,000), with a subsequent decrement of 5-8% every decade due to aging. 15% of fibers innervate the palmar skin of both hands and 19% the region surrounding the face and lips. Slowly and fast-adapting fibers are split roughly evenly, but this breakdown varies with skin region. Innervation density correlates well with psychophysical spatial acuity across different body regions, and additionally, on hairy skin, with hair follicle density. Innervation density is also weakly correlated with the size of the cortical somatotopic representation, but cannot fully account for the magnification of the hands and the face.

Published
2020

6. Inspection and repair techniques for the EXFEL superconducting 1.3 GHz cavities at Ettore Zanon S.p.A

Author

Massaro, G., Corniani, G., Maragno, N., Matheisen, A., Navitski, A., and Michelato, P.

Abstract

The quality control of the inner surface ofsuperconducting RF cavities is essential in order to assurehigh accelerating gradient and quality factor.Ettore Zanon S.p.A. (EZ) has implemented in the serialproduction an optical system that use an high-resolutioncamera, in order to detect various types of defects. Thissystem is added to a grinding machine, that wasspecifically designed and built to repair imperfections ofthe cavities inner surface.This inspection and repair system is applied to recoverperformance limited cavities of the 1.3 GHz EuropeanEXFEL project, where surface irregularities are detected,either by the Obacht inspection system at Desy or theoptical system at EZ.The optical system and the grinding procedure arequalified using two series cavities limited in gradient andshowing different types of surface defects. Theperformances of these cavities have been recovered toreach the specifications of the project. Until now, all theseries EXFEL cavities built by EZ, repaired with thistechnique, have shown an accelerating gradient wellabove the EXFEL goal.The paper describes the equipment installed in thegrinding machine and it analyzes the performance of thecavities that have been repaired using this system.

Published
2015

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