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14 results on '"Pompilio, R"'

1. Distillation and stripping pilot plants for the JUNO neutrino detector: design, operations and reliability

Author

Lombardi, P., Montuschi, M., Formozov, A., Brigatti, A., Parmeggiano, S., Pompilio, R., Depnering, W., Franke, S., Gaigher, R., Joutsenvaara, J., Mengucci, A., Meroni, E., Steiger, H., Mantovani, F., Ranucci, G., Andronico, G., Antonelli, V., Baldoncini, M., Bellato, M., Bernieri, E., Brugnera, R., Budano, A., Buscemi, M., Bussino, S., Caruso, R., Chiesa, D., Clementi, C., Corti, D., Corso, F. Dal, Ding, X. F., Dusini, S., Fabbri, A., Fiorentini, G., Ford, R., Galet, G., Garfagnini, A., Giammarchi, M., Giaz, A., Grassi, M., Insolia, A., Isocrate, R., Lippi, I., Malyshkin, Y., Mari, S. M., Marini, F., Martellini, C., Martini, A., Mezzetto, M., Miramonti, L., Monforte, S., Montini, P., Nastasi, M., Ortica, F., Paoloni, A., Pedretti, D., Pelliccia, N., Previtali, E., Re, A. C., Ricci, B., Riondino, D., Romani, A., Saggese, P., Salamanna, G., Sawy, F. H., Settanta, G., Sisti, M., Sirignano, C., Stanco, L., Strati, V., Verde, G., and Votano, L.

Subjects
Physics - Instrumentation and Detectors
Abstract

This paper describes the design, construction principles and operations of the distillation and stripping pilot plants tested at the Daya Bay Neutrino Laboratory, with the perspective to adapt this processes, system cleanliness and leak-tightness to the final full scale plants that will be used for the purification of the liquid scintillator used in the JUNO neutrino detector. The main goal of these plants is to remove radio impurities from the liquid scintillator while increasing its optical attenuation length. Purification of liquid scintillator will be performed with a system combining alumina oxide, distillation, water extraction and steam (or N2 gas) stripping. Such a combined system will aim at obtaining a total attenuation length greater than 20 m at 430 nm, and a bulk radiopurity for 238U and 232Th in the 10-15 to 10-17 g/g range. The pilot plants commissioning and operation have also provided valuable information on the degree of reliability of their main components, which will be particularly useful for the design of the final full scale purification equipment for the JUNO liquid scintillator. This paper describe two of the five pilot plants since the Alumina Column, Fluor mixing and the Water Extraction plants are in charge of the Chinese part of the collaboration.

Published
2019
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2. GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment

Author

Reguzzoni, M., Rossi, L., Baldoncini, M., Callegari, I., Poli, P., Sampietro, D., Strati, V., Mantovani, F., Andronico, G., Antonelli, V., Bellato, M., Bernieri, E., Brigatti, A., Brugnera, R., Budano, A., Buscemi, M., Bussino, S., Caruso, R., Chiesa, D., Corti, D., Corso, F. Dal, Ding, X. F., Dusini, S., Fabbri, A., Fiorentini, G., Ford, R., Formozov, A., Galet, G., Garfagnini, A., Giammarchi, M., Giaz, A., Grassi, M., Insolia, A., Isocrate, R., Lippi, I., Longhitano, F., Presti, D. Lo, Lombardi, P., Malyshkin, Y., Marini, F., Mari, S. M., Martellini, C., Meroni, E., Mezzetto, M., Miramonti, L., Monforte, S., Montuschi, M., Nastasi, M., Ortica, F., Paoloni, A., Parmeggiano, S., Pedretti, D., Pelliccia, N., Pompilio, R., Previtali, E., Ranucci, G., Re, A. C., Ricci, B., Romani, A., Saggese, P., Salamanna, G., Sawy, F. H., Settanta, G., Sisti, M., Sirignano, C., Spinetti, M., Stanco, L., Verde, G., and Votano, L.

Subjects
Physics - Geophysics
Abstract

Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3D numerical model constituted by ~46 x 10$^{3}$ voxels of 50 x 50 x 0.1 km, built by inverting gravimetric data over the 6{\deg} x 4{\deg} area centered at the Jiangmen Underground Neutrino Observatory (JUNO) experiment, currently under construction in the Guangdong Province (China). The a-priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P-wave velocity models and Moho depth maps, according to their own accuracy and spatial resolution. The inversion method allowed for integrating GOCE data with the a-priori information and regularization conditions through a Bayesian approach and a stochastic optimization. GIGJ fits the homogeneously distributed GOCE gravity data, characterized by high accuracy, with a ~1 mGal standard deviation of the residuals, compatible with the observation accuracy. Conversely to existing global models, GIGJ provides a site-specific subdivision of the crustal layers masses which uncertainties include estimation errors, associated to the gravimetric solution, and systematic uncertainties, related to the adoption of a fixed sedimentary layer. A consequence of this local rearrangement of the crustal layer thicknesses is a ~21% reduction and a ~24% increase of the middle and lower crust expected geoneutrino signal, respectively. Finally, the geophysical uncertainties of geoneutrino signals at JUNO produced by unitary uranium and thorium abundances distributed in the upper, middle and lower crust are reduced by 77%, 55% and 78%, respectively. The numerical model is available at http://www.fe.infn.it/u/radioactivity/GIGJ, Comment: 35 pages, 9 figures, 4 tables

Published
2019
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3. Charge reconstruction in large-area photomultipliers

Author

Grassi, M., Montuschi, M., Baldoncini, M., Mantovani, F., Ricci, B., Andronico, G., Antonelli, V., Bellato, M., Bernieri, E., Brigatti, A., Brugnera, R., Budano, A., Buscemi, M., Bussino, S., Caruso, R., Chiesa, D., Corti, D., Corso, F. Dal, Ding, X. F., Dusini, S., Fabbri, A., Fiorentini, G., Ford, R., Formozov, A., Galet, G., Garfagnini, A., Giammarchi, M., Giaz, A., Insolia, A., Isocrate, R., Lippi, I., Longhitano, F., Presti, D. Lo, Lombardi, P., Marini, F., Mari, S. M., Martellini, C., Meroni, E., Mezzetto, M., Miramonti, L., Monforte, S., Nastasi, M., Ortica, F., Paoloni, A., Parmeggiano, S., Pedretti, D., Pelliccia, N., Pompilio, R., Previtali, E., Ranucci, G., Re, A. C., Romani, A., Saggese, P., Salamanna, G., Sawy, F. H., Settanta, G., Sisti, M., Sirignano, C., Spinetti, M., Stanco, L., Strati, V., Verde, G., and Votano, L.

Subjects
Physics - Instrumentation and Detectors
Abstract

Large-area PhotoMultiplier Tubes (PMT) allow to efficiently instrument Liquid Scintillator (LS) neutrino detectors, where large target masses are pivotal to compensate for neutrinos' extremely elusive nature. Depending on the detector light yield, several scintillation photons stemming from the same neutrino interaction are likely to hit a single PMT in a few tens/hundreds of nanoseconds, resulting in several photoelectrons (PEs) to pile-up at the PMT anode. In such scenario, the signal generated by each PE is entangled to the others, and an accurate PMT charge reconstruction becomes challenging. This manuscript describes an experimental method able to address the PMT charge reconstruction in the case of large PE pile-up, providing an unbiased charge estimator at the permille level up to 15 detected PEs. The method is based on a signal filtering technique (Wiener filter) which suppresses the noise due to both PMT and readout electronics, and on a Fourier-based deconvolution able to minimize the influence of signal distortions ---such as an overshoot. The analysis of simulated PMT waveforms shows that the slope of a linear regression modeling the relation between reconstructed and true charge values improves from $0.769 \pm 0.001$ (without deconvolution) to $0.989 \pm 0.001$ (with deconvolution), where unitary slope implies perfect reconstruction. A C++ implementation of the charge reconstruction algorithm is available online at http://www.fe.infn.it/CRA .

Published
2018
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4. GIGJ: A Crustal Gravity Model of the Guangdong Province for Predicting the Geoneutrino Signal at the JUNO Experiment

Author

Reguzzoni, M, Rossi, L, Baldoncini, M, Callegari, I, Poli, P, Sampietro, D, Strati, V, Mantovani, F, Andronico, G, Antonelli, V, Bellato, M, Bernieri, E, Brigatti, A, Brugnera, R, Budano, A, Buscemi, M, Bussino, S, Caruso, R, Chiesa, D, Corti, D, Dal Corso, F, Ding, X, Dusini, S, Fabbri, A, Fiorentini, G, Ford, R, Formozov, A, Galet, G, Garfagnini, A, Giammarchi, M, Giaz, A, Grassi, M, Insolia, A, Isocrate, R, Lippi, I, Longhitano, F, Lo Presti, D, Lombardi, P, Malyshkin, Y, Marini, F, Mari, S, Martellini, C, Meroni, E, Mezzetto, M, Miramonti, L, Monforte, S, Montuschi, M, Nastasi, M, Ortica, F, Paoloni, A, Parmeggiano, S, Pedretti, D, Pelliccia, N, Pompilio, R, Previtali, E, Ranucci, G, Re, A, Ricci, B, Romani, A, Saggese, P, Salamanna, G, Sawy, F, Settanta, G, Sisti, M, Sirignano, C, Spinetti, M, Stanco, L, Verde, G, Votano, L, Reguzzoni M., Rossi L., Baldoncini M., Callegari I., Poli P., Sampietro D., Strati V., Mantovani F., Andronico G., Antonelli V., Bellato M., Bernieri E., Brigatti A., Brugnera R., Budano A., Buscemi M., Bussino S., Caruso R., Chiesa D., Corti D., Dal Corso F., Ding X. F., Dusini S., Fabbri A., Fiorentini G., Ford R., Formozov A., Galet G., Garfagnini A., Giammarchi M., Giaz A., Grassi M., Insolia A., Isocrate R., Lippi I., Longhitano F., Lo Presti D., Lombardi P., Malyshkin Y., Marini F., Mari S. M., Martellini C., Meroni E., Mezzetto M., Miramonti L., Monforte S., Montuschi M., Nastasi M., Ortica F., Paoloni A., Parmeggiano S., Pedretti D., Pelliccia N., Pompilio R., Previtali E., Ranucci G., Re A. C., Ricci B., Romani A., Saggese P., Salamanna G., Sawy F. H., Settanta G., Sisti M., Sirignano C., Spinetti M., Stanco L., Verde G., Votano L., Reguzzoni, M, Rossi, L, Baldoncini, M, Callegari, I, Poli, P, Sampietro, D, Strati, V, Mantovani, F, Andronico, G, Antonelli, V, Bellato, M, Bernieri, E, Brigatti, A, Brugnera, R, Budano, A, Buscemi, M, Bussino, S, Caruso, R, Chiesa, D, Corti, D, Dal Corso, F, Ding, X, Dusini, S, Fabbri, A, Fiorentini, G, Ford, R, Formozov, A, Galet, G, Garfagnini, A, Giammarchi, M, Giaz, A, Grassi, M, Insolia, A, Isocrate, R, Lippi, I, Longhitano, F, Lo Presti, D, Lombardi, P, Malyshkin, Y, Marini, F, Mari, S, Martellini, C, Meroni, E, Mezzetto, M, Miramonti, L, Monforte, S, Montuschi, M, Nastasi, M, Ortica, F, Paoloni, A, Parmeggiano, S, Pedretti, D, Pelliccia, N, Pompilio, R, Previtali, E, Ranucci, G, Re, A, Ricci, B, Romani, A, Saggese, P, Salamanna, G, Sawy, F, Settanta, G, Sisti, M, Sirignano, C, Spinetti, M, Stanco, L, Verde, G, Votano, L, Reguzzoni M., Rossi L., Baldoncini M., Callegari I., Poli P., Sampietro D., Strati V., Mantovani F., Andronico G., Antonelli V., Bellato M., Bernieri E., Brigatti A., Brugnera R., Budano A., Buscemi M., Bussino S., Caruso R., Chiesa D., Corti D., Dal Corso F., Ding X. F., Dusini S., Fabbri A., Fiorentini G., Ford R., Formozov A., Galet G., Garfagnini A., Giammarchi M., Giaz A., Grassi M., Insolia A., Isocrate R., Lippi I., Longhitano F., Lo Presti D., Lombardi P., Malyshkin Y., Marini F., Mari S. M., Martellini C., Meroni E., Mezzetto M., Miramonti L., Monforte S., Montuschi M., Nastasi M., Ortica F., Paoloni A., Parmeggiano S., Pedretti D., Pelliccia N., Pompilio R., Previtali E., Ranucci G., Re A. C., Ricci B., Romani A., Saggese P., Salamanna G., Sawy F. H., Settanta G., Sisti M., Sirignano C., Spinetti M., Stanco L., Verde G., and Votano L.

Abstract

Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3-D numerical model constituted by ~46 × 103 voxels of 50 × 50 × 0.1 km, built by inverting GOCE (Gravity field and steady-state Ocean Circulation Explorer) gravimetric data over the 6° × 4° area centered at the JUNO (Jiangmen Underground Neutrino Observatory) experiment, currently under construction in the Guangdong Province (China). The a priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P wave velocity models, and Moho depth maps, according to their own accuracy and spatial resolution. The inversion method allowed for integrating GOCE data with the a priori information and some regularization conditions through a Bayesian approach and a stochastic optimization. GIGJ fits the highly accurate and homogeneously distributed GOCE gravity data with a ~1 mGal standard deviation of the residuals, compatible with the observation accuracy. GIGJ provides a site-specific subdivision of the crustal layers masses, of which uncertainties include estimation errors, associated to the gravimetric solution, and systematic uncertainties, related to the adoption of a fixed sedimentary layer. A consequence of this local rearrangement of the crustal layer thicknesses is a ~21% reduction and a ~24% increase of the middle and lower crust geoneutrino signal, respectively. The geophysical uncertainties of geoneutrino signals at JUNO produced by unitary uranium and thorium abundances distributed in the upper, middle, and lower crust are reduced by 77%, 55%, and 78%, respectively. The numerical model is available at this site (http://www.fe.infn.it/radioactivity/GIGJ).

Published
2019

5. Charge reconstruction in large-area photomultipliers

Author

Grassi, M, Montuschi, M, Baldoncini, M, Mantovani, F, Ricci, B, Andronico, G, Antonelli, V, Bellato, M, Bernieri, E, Brigatti, A, Brugnera, R, Budano, A, Buscemi, M, Bussino, S, Caruso, R, Chiesa, D, Corti, D, Corso, F, Ding, X, Dusini, S, Fabbri, A, Fiorentini, G, Ford, R, Formozov, A, Galet, G, Garfagnini, A, Giammarchi, M, Giaz, A, Insolia, A, Isocrate, R, Lippi, I, Longhitano, F, Presti, D, Lombardi, P, Marini, F, Mari, S, Martellini, C, Meroni, E, Mezzetto, M, Miramonti, L, Monforte, S, Nastasi, M, Ortica, F, Paoloni, A, Parmeggiano, S, Pedretti, D, Pelliccia, N, Pompilio, R, Previtali, E, Ranucci, G, Re, A, Romani, A, Saggese, P, Salamanna, G, Sawy, F, Settanta, G, Sisti, M, Sirignano, C, Spinetti, M, Stanco, L, Strati, V, Verde, G, Votano, L, Grassi, M., Montuschi, M., Baldoncini, M., Mantovani, F., Ricci, B., Andronico, G., Antonelli, V., Bellato, M., Bernieri, E., Brigatti, A., Brugnera, R., Budano, A., Buscemi, M., Bussino, S., Caruso, R., Chiesa, D., Corti, D., Corso, F. Dal, Ding, X. F., Dusini, S., Fabbri, A., Fiorentini, G., Ford, R., Formozov, A., Galet, G., Garfagnini, A., Giammarchi, M., Giaz, A., Insolia, A., Isocrate, R., Lippi, I., Longhitano, F., Presti, D. Lo, Lombardi, P., Marini, F., Mari, S. M., Martellini, C., Meroni, E., Mezzetto, M., Miramonti, L., Monforte, S., Nastasi, M., Ortica, F., Paoloni, A., Parmeggiano, S., Pedretti, D., Pelliccia, N., Pompilio, R., Previtali, E., Ranucci, G., Re, A. C., Romani, A., Saggese, P., Salamanna, G., Sawy, F. H., Settanta, G., Sisti, M., Sirignano, C., Spinetti, M., Stanco, L., Strati, V., Verde, G., Votano, L., Grassi, M, Montuschi, M, Baldoncini, M, Mantovani, F, Ricci, B, Andronico, G, Antonelli, V, Bellato, M, Bernieri, E, Brigatti, A, Brugnera, R, Budano, A, Buscemi, M, Bussino, S, Caruso, R, Chiesa, D, Corti, D, Corso, F, Ding, X, Dusini, S, Fabbri, A, Fiorentini, G, Ford, R, Formozov, A, Galet, G, Garfagnini, A, Giammarchi, M, Giaz, A, Insolia, A, Isocrate, R, Lippi, I, Longhitano, F, Presti, D, Lombardi, P, Marini, F, Mari, S, Martellini, C, Meroni, E, Mezzetto, M, Miramonti, L, Monforte, S, Nastasi, M, Ortica, F, Paoloni, A, Parmeggiano, S, Pedretti, D, Pelliccia, N, Pompilio, R, Previtali, E, Ranucci, G, Re, A, Romani, A, Saggese, P, Salamanna, G, Sawy, F, Settanta, G, Sisti, M, Sirignano, C, Spinetti, M, Stanco, L, Strati, V, Verde, G, Votano, L, Grassi, M., Montuschi, M., Baldoncini, M., Mantovani, F., Ricci, B., Andronico, G., Antonelli, V., Bellato, M., Bernieri, E., Brigatti, A., Brugnera, R., Budano, A., Buscemi, M., Bussino, S., Caruso, R., Chiesa, D., Corti, D., Corso, F. Dal, Ding, X. F., Dusini, S., Fabbri, A., Fiorentini, G., Ford, R., Formozov, A., Galet, G., Garfagnini, A., Giammarchi, M., Giaz, A., Insolia, A., Isocrate, R., Lippi, I., Longhitano, F., Presti, D. Lo, Lombardi, P., Marini, F., Mari, S. M., Martellini, C., Meroni, E., Mezzetto, M., Miramonti, L., Monforte, S., Nastasi, M., Ortica, F., Paoloni, A., Parmeggiano, S., Pedretti, D., Pelliccia, N., Pompilio, R., Previtali, E., Ranucci, G., Re, A. C., Romani, A., Saggese, P., Salamanna, G., Sawy, F. H., Settanta, G., Sisti, M., Sirignano, C., Spinetti, M., Stanco, L., Strati, V., Verde, G., and Votano, L.

Abstract

Large-area PhotoMultiplier Tubes (PMT) allow to efficiently instrument Liquid Scintillator (LS) neutrino detectors, where large target masses are pivotal to compensate for neutrinos' extremely elusive nature. Depending on the detector light yield, several scintillation photons stemming from the same neutrino interaction are likely to hit a single PMT in a few tens/hundreds of nanoseconds, resulting in several photoelectrons (PEs) to pile-up at the PMT anode. In such scenario, the signal generated by each PE is entangled to the others, and an accurate PMT charge reconstruction becomes challenging. This manuscript describes an experimental method able to address the PMT charge reconstruction in the case of large PE pile-up, providing an unbiased charge estimator at the permille level up to 15 detected PEs. The method is based on a signal filtering technique (Wiener filter) which suppresses the noise due to both PMT and readout electronics, and on a Fourier-based deconvolution able to minimize the influence of signal distortions - such as an overshoot. The analysis of simulated PMT waveforms shows that the slope of a linear regression modeling the relation between reconstructed and true charge values improves from 0.769 ± 0.001 (without deconvolution) to 0.989 ± 0.001 (with deconvolution), where unitary slope implies perfect reconstruction. A C++ implementation of the charge reconstruction algorithm is available online at [1].

Published
2018

6. Distillation and stripping pilot plants for the JUNO neutrino detector: Design, operations and reliability

Author

Lombardi, P, Montuschi, M, Formozov, A, Brigatti, A, Parmeggiano, S, Pompilio, R, Depnering, W, Franke, S, Gaigher, R, Joutsenvaara, J, Mengucci, A, Meroni, E, Steiger, H, Mantovani, F, Ranucci, G, Andronico, G, Antonelli, V, Baldoncini, M, Bellato, M, Bernier, E, Brugnera, R, Budano, A, Buscemi, M, Bussino, S, Caruso, R, Chiesa, D, Clementi, C, Corti, D, Dal Corso, F, Ding, X, Dusini, S, Fabbri, A, Fiorentini, G, Ford, R, Galet, G, Garfagnini, A, Giammarchi, M, Giaz, A, Grassi, M, Insolia, A, Isocrate, R, Lippi, I, Malyshkin, Y, Mari, S, Marini, F, Martellini, C, Martini, A, Mezzetto, M, Miramonti, L, Monforte, S, Montini, P, Nastasi, M, Ortica, F, Paoloni, A, Pedretti, D, Pelliccia, N, Previtali, E, Re, A, Ricci, B, Riondino, D, Romani, A, Saggese, P, Salamanna, G, Sawy, F, Settanta, G, Sisti, M, Sirignano, C, Stanco, L, Strati, V, Verde, G, Votano, L, Ding, XF, Mari, SM, Re, AC, Sawy, FH, Lombardi, P, Montuschi, M, Formozov, A, Brigatti, A, Parmeggiano, S, Pompilio, R, Depnering, W, Franke, S, Gaigher, R, Joutsenvaara, J, Mengucci, A, Meroni, E, Steiger, H, Mantovani, F, Ranucci, G, Andronico, G, Antonelli, V, Baldoncini, M, Bellato, M, Bernier, E, Brugnera, R, Budano, A, Buscemi, M, Bussino, S, Caruso, R, Chiesa, D, Clementi, C, Corti, D, Dal Corso, F, Ding, X, Dusini, S, Fabbri, A, Fiorentini, G, Ford, R, Galet, G, Garfagnini, A, Giammarchi, M, Giaz, A, Grassi, M, Insolia, A, Isocrate, R, Lippi, I, Malyshkin, Y, Mari, S, Marini, F, Martellini, C, Martini, A, Mezzetto, M, Miramonti, L, Monforte, S, Montini, P, Nastasi, M, Ortica, F, Paoloni, A, Pedretti, D, Pelliccia, N, Previtali, E, Re, A, Ricci, B, Riondino, D, Romani, A, Saggese, P, Salamanna, G, Sawy, F, Settanta, G, Sisti, M, Sirignano, C, Stanco, L, Strati, V, Verde, G, Votano, L, Ding, XF, Mari, SM, Re, AC, and Sawy, FH

Abstract

This paper describes the design, construction principles and operations of the distillation and stripping pilot plants tested at the Daya Bay Neutrino Laboratory, with the perspective to adapt these processes, system cleanliness and leak-tightness standards to the final full scale plants to be used for the purification of the liquid scintillator of the JUNO neutrino detector. The main goal of these plants is to remove radio impurities from the liquid scintillator while increasing its optical attenuation length. Purification of liquid scintillator will be performed with a system combining alumina oxide, distillation, water extraction and steam (or N 2 gas) stripping. Such a combined system will aim at obtaining a total attenuation length greater than 20 m @430 nm, and a bulk radiopurity for 238 U and 232 Th in the 10 −15 ÷ 10 −17 g/g range. The pilot plants commissioning and operation have also provided valuable information on the degree of reliability of their main components, which will be particularly useful for the design of the final full scale purification equipment for the JUNO liquid scintillator. This paper describes two of the five pilot plants since the Alumina Column, fluorescent material mixing and the Water Extraction plants are being developed by the Chinese part of the collaboration.

Published
2019

7. Distillation and stripping pilot plants for the JUNO neutrino detector: Design, operations and reliability

Author

Lombardi, P., primary, Montuschi, M., additional, Formozov, A., additional, Brigatti, A., additional, Parmeggiano, S., additional, Pompilio, R., additional, Depnering, W., additional, Franke, S., additional, Gaigher, R., additional, Joutsenvaara, J., additional, Mengucci, A., additional, Meroni, E., additional, Steiger, H., additional, Mantovani, F., additional, Ranucci, G., additional, Andronico, G., additional, Antonelli, V., additional, Baldoncini, M., additional, Bellato, M., additional, Bernier, E., additional, Brugnera, R., additional, Budano, A., additional, Buscemi, M., additional, Bussino, S., additional, Caruso, R., additional, Chiesa, D., additional, Clementi, C., additional, Corti, D., additional, Dal Corso, F., additional, Ding, X.F., additional, Dusini, S., additional, Fabbri, A., additional, Fiorentini, G., additional, Ford, R., additional, Galet, G., additional, Garfagnini, A., additional, Giammarchi, M., additional, Giaz, A., additional, Grassi, M., additional, Insolia, A., additional, Isocrate, R., additional, Lippi, I., additional, Malyshkin, Y., additional, Mari, S.M., additional, Marini, F., additional, Martellini, C., additional, Martini, A., additional, Mezzetto, M., additional, Miramonti, L., additional, Monforte, S., additional, Montini, P., additional, Nastasi, M., additional, Ortica, F., additional, Paoloni, A., additional, Pedretti, D., additional, Pelliccia, N., additional, Previtali, E., additional, Re, A.C., additional, Ricci, B., additional, Riondino, D., additional, Romani, A., additional, Saggese, P., additional, Salamanna, G., additional, Sawy, F.H., additional, Settanta, G., additional, Sisti, M., additional, Sirignano, C., additional, Stanco, L., additional, Strati, V., additional, Verde, G., additional, and Votano, L., additional

Published
2019
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8. GIGJ: A Crustal Gravity Model of the Guangdong Province for Predicting the Geoneutrino Signal at the JUNO Experiment

Author

Reguzzoni, M., primary, Rossi, L., additional, Baldoncini, M., additional, Callegari, I., additional, Poli, P., additional, Sampietro, D., additional, Strati, V., additional, Mantovani, F., additional, Andronico, G., additional, Antonelli, V., additional, Bellato, M., additional, Bernieri, E., additional, Brigatti, A., additional, Brugnera, R., additional, Budano, A., additional, Buscemi, M., additional, Bussino, S., additional, Caruso, R., additional, Chiesa, D., additional, Corti, D., additional, Dal Corso, F., additional, Ding, X.F., additional, Dusini, S., additional, Fabbri, A., additional, Fiorentini, G., additional, Ford, R., additional, Formozov, A., additional, Galet, G., additional, Garfagnini, A., additional, Giammarchi, M., additional, Giaz, A., additional, Grassi, M., additional, Insolia, A., additional, Isocrate, R., additional, Lippi, I., additional, Longhitano, F., additional, Lo Presti, D., additional, Lombardi, P., additional, Malyshkin, Y., additional, Marini, F., additional, Mari, S.M., additional, Martellini, C., additional, Meroni, E., additional, Mezzetto, M., additional, Miramonti, L., additional, Monforte, S., additional, Montuschi, M., additional, Nastasi, M., additional, Ortica, F., additional, Paoloni, A., additional, Parmeggiano, S., additional, Pedretti, D., additional, Pelliccia, N., additional, Pompilio, R., additional, Previtali, E., additional, Ranucci, G., additional, Re, A.C., additional, Ricci, B., additional, Romani, A., additional, Saggese, P., additional, Salamanna, G., additional, Sawy, F.H., additional, Settanta, G., additional, Sisti, M., additional, Sirignano, C., additional, Spinetti, M., additional, Stanco, L., additional, Verde, G., additional, and Votano, L., additional

Published
2019
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9. Charge reconstruction in large-area photomultipliers

Author

Grassi, M., primary, Montuschi, M., additional, Baldoncini, M., additional, Mantovani, F., additional, Ricci, B., additional, Andronico, G., additional, Antonelli, V., additional, Bellato, M., additional, Bernieri, E., additional, Brigatti, A., additional, Brugnera, R., additional, Budano, A., additional, Buscemi, M., additional, Bussino, S., additional, Caruso, R., additional, Chiesa, D., additional, Corti, D., additional, Corso, F. Dal, additional, Ding, X.F., additional, Dusini, S., additional, Fabbri, A., additional, Fiorentini, G., additional, Ford, R., additional, Formozov, A., additional, Galet, G., additional, Garfagnini, A., additional, Giammarchi, M., additional, Giaz, A., additional, Insolia, A., additional, Isocrate, R., additional, Lippi, I., additional, Longhitano, F., additional, Presti, D. Lo, additional, Lombardi, P., additional, Marini, F., additional, Mari, S.M., additional, Martellini, C., additional, Meroni, E., additional, Mezzetto, M., additional, Miramonti, L., additional, Monforte, S., additional, Nastasi, M., additional, Ortica, F., additional, Paoloni, A., additional, Parmeggiano, S., additional, Pedretti, D., additional, Pelliccia, N., additional, Pompilio, R., additional, Previtali, E., additional, Ranucci, G., additional, Re, A.C., additional, Romani, A., additional, Saggese, P., additional, Salamanna, G., additional, Sawy, F. H., additional, Settanta, G., additional, Sisti, M., additional, Sirignano, C., additional, Spinetti, M., additional, Stanco, L., additional, Strati, V., additional, Verde, G., additional, and Votano, L., additional

Published
2018
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10. Revista Brasileira de Farmacognosia

Author

Oliveira, Roseli F., Ribeiro, Paulo R., Santos, Getisêmani K. M., Oliveira, Claudenice S., Silva, Pompilio R. C., Oliveira, Hiagno A., Trindade, Rita de C., and Fernandez, Luzimar Gonzaga

Subjects
Barbatimão, Steatosis, Medical plants, Cepatic congestion, Abarema cochliacarpos
Abstract

p. 674-679 Submitted by Suelen Reis (suziy.ellen@gmail.com) on 2014-05-13T15:22:33Z No. of bitstreams: 1 10.1590-S0102-695X2013005000052.pdf: 3298785 bytes, checksum: dcf62112900c6712cb599cf23848a57e (MD5) Approved for entry into archive by Flávia Ferreira (flaviaccf@yahoo.com.br) on 2014-07-04T13:23:51Z (GMT) No. of bitstreams: 1 10.1590-S0102-695X2013005000052.pdf: 3298785 bytes, checksum: dcf62112900c6712cb599cf23848a57e (MD5) Made available in DSpace on 2014-07-04T13:23:51Z (GMT). No. of bitstreams: 1 10.1590-S0102-695X2013005000052.pdf: 3298785 bytes, checksum: dcf62112900c6712cb599cf23848a57e (MD5) Previous issue date: 2013 Abarema cochliacarpos (Gomes) Barneby & J.W. Grimes, Fabaceae, is a native species of Brazil popularly known as "barbatimão", frequently found along the north coast of the state of Bahia. Local communities make an infusion from its stem bark, which is used to treat several diseases. This study aimed to evaluate the hepatotoxicity of A. cochliacarpos extracts in mice Mus musculus. The bark infusion and hydroalcoholic extract were administered nasogastrically into two groups of eight animals (four male and four female each). After 45 days all mice were killed and the livers were collected for further histological analysis. Hepatic steatosis, congestion of the hepatic vessels and medicinal plantspresence of macrophages and lymphocytes infiltrates in the liver, were observed in both steatosis group of animals, additionally animals that received the stem bark infusion presented an accumulation of pigments. None of the animals belonging to the negative control group showed any of the symptoms described above. In conclusion, the hydroalcoholic extract and infusion of A. cochliacarpos stem bark were proven to cause intoxication in mice. The hepatotoxicity of the infusion was more aggressive in females. Further studies are necessary to isolate compounds responsible for the toxic characteristics of A. cochliacarpos.

Published
2013
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12. GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment

Author

Monica Sisti, Agnese Giaz, Stefano Maria Mari, A. Brigatti, Severino Angelo Maria Bussino, C. Sirignano, Vito Antonelli, F. Dal Corso, D. Pedretti, Giuseppe Verde, R. Brugnera, Roberto Isocrate, G. Galet, Ivano Lippi, M. Montuschi, Daniele Sampietro, G. Salamanna, Massimiliano Nastasi, Marco Grassi, Antonio Budano, Antonio Insolia, Cristina Martellini, Andrey Formozov, Xuefeng Ding, Alessandra Re, Marco Giammarchi, Fabio Mantovani, G. Fiorentini, Enrico Bernieri, E. Meroni, Filippo Marini, Fatma Sawy, M. Buscemi, D. Lo Presti, Alessandro Paoloni, Mauro Mezzetto, Marica Baldoncini, Fausto Ortica, Yury Malyshkin, Daniele Corti, Virginia Strati, Mirko Reguzzoni, Salvatore Monforte, Giulio Settanta, Luca Stanco, Giuseppe Andronico, Piero Poli, Andrea Fabbri, Gioacchino Ranucci, Davide Chiesa, A. Garfagnini, Marco Bellato, S. Dusini, Fabio Longhitano, Aldo Romani, R. Pompilio, M. Spinetti, R. Ford, P. Saggese, Lino Miramonti, Ivan Callegari, Paolo Lombardi, N. Pelliccia, Lorenzo Rossi, S. Parmeggiano, Ezio Previtali, Barbara Ricci, Rossella Caruso, Lucia Votano, Institut des Sciences de la Terre (ISTerre), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-PRES Université de Grenoble-Institut de recherche pour le développement [IRD] : UR219-Institut national des sciences de l'Univers (INSU - CNRS)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Joseph Fourier - Grenoble 1 (UJF), AstroParticule et Cosmologie (APC (UMR_7164)), Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Reguzzoni, M., Rossi, L., Baldoncini, M., Callegari, I., Poli, P., Sampietro, D., Strati, V., Mantovani, F., Andronico, G., Antonelli, V., Bellato, M., Bernieri, E., Brigatti, A., Brugnera, R., Budano, A., Buscemi, M., Bussino, S., Caruso, R., Chiesa, D., Corti, D., Dal Corso, F., Ding, X. F., Dusini, S., Fabbri, A., Fiorentini, G., Ford, R., Formozov, A., Galet, G., Garfagnini, A., Giammarchi, M., Giaz, A., Grassi, M., Insolia, A., Isocrate, R., Lippi, I., Longhitano, F., Lo Presti, D., Lombardi, P., Malyshkin, Y., Marini, F., Mari, S. M., Martellini, C., Meroni, E., Mezzetto, M., Miramonti, L., Monforte, S., Montuschi, M., Nastasi, M., Ortica, F., Paoloni, A., Parmeggiano, S., Pedretti, D., Pelliccia, N., Pompilio, R., Previtali, E., Ranucci, G., Re, A. C., Ricci, B., Romani, A., Saggese, P., Salamanna, G., Sawy, F. H., Settanta, G., Sisti, M., Sirignano, C., Spinetti, M., Stanco, L., Verde, G., Votano, L., Centre National de la Recherche Scientifique (CNRS)-PRES Université de Grenoble-Université Joseph Fourier - Grenoble 1 (UJF)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Université Joseph Fourier - Grenoble 1 (UJF)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-PRES Université de Grenoble-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Reguzzoni, M, Rossi, L, Baldoncini, M, Callegari, I, Poli, P, Sampietro, D, Strati, V, Mantovani, F, Andronico, G, Antonelli, V, Bellato, M, Bernieri, E, Brigatti, A, Brugnera, R, Budano, A, Buscemi, M, Bussino, S, Caruso, R, Chiesa, D, Corti, D, Dal Corso, F, Ding, X, Dusini, S, Fabbri, A, Fiorentini, G, Ford, R, Formozov, A, Galet, G, Garfagnini, A, Giammarchi, M, Giaz, A, Grassi, M, Insolia, A, Isocrate, R, Lippi, I, Longhitano, F, Lo Presti, D, Lombardi, P, Malyshkin, Y, Marini, F, Mari, S, Martellini, C, Meroni, E, Mezzetto, M, Miramonti, L, Monforte, S, Montuschi, M, Nastasi, M, Ortica, F, Paoloni, A, Parmeggiano, S, Pedretti, D, Pelliccia, N, Pompilio, R, Previtali, E, Ranucci, G, Re, A, Ricci, B, Romani, A, Saggese, P, Salamanna, G, Sawy, F, Settanta, G, Sisti, M, Sirignano, C, Spinetti, M, Stanco, L, Verde, G, Votano, L, Reguzzoni M., Rossi L., Baldoncini M., Callegari I., Poli P., Sampietro D., Strati V., Mantovani F., Andronico G., Antonelli V., Bellato M., Bernieri E., Brigatti A., Brugnera R., Budano A., Buscemi M., Bussino S., Caruso R., Chiesa D., Corti D., Dal Corso F., Ding X.F., Dusini S., Fabbri A., Fiorentini G., Ford R., Formozov A., Galet G., Garfagnini A., Giammarchi M., Giaz A., Grassi M., Insolia A., Isocrate R., Lippi I., Longhitano F., Lo Presti D., Lombardi P., Malyshkin Y., Marini F., Mari S.M., Martellini C., Meroni E., Mezzetto M., Miramonti L., Monforte S., Montuschi M., Nastasi M., Ortica F., Paoloni A., Parmeggiano S., Pedretti D., Pelliccia N., Pompilio R., Previtali E., Ranucci G., Re A.C., Ricci B., Romani A., Saggese P., Salamanna G., Sawy F.H., Settanta G., Sisti M., Sirignano C., Spinetti M., Stanco L., Verde G., and Votano L.

Subjects
010504 meteorology & atmospheric sciences, Geoneutrino, geophysical uncertaintie, Inverse transform sampling, FOS: Physical sciences, 01 natural sciences, Bayesian method, Upper, middle, and lower crust, Standard deviation, NO, South China Block, middle, Physics - Geophysics, Monte Carlo stochastic optimization, GOCE data gravimetric inversion, Geophysical uncertainties, Geochemistry and Petrology, Earth and Planetary Sciences (miscellaneous), geophysical uncertainties, upper, middle, and lower crust, Image resolution, 0105 earth and related environmental sciences, Subdivision, Jiangmen Underground Neutrino Observatory, upper and middle and lower crust, business.industry, Settore FIS/01 - Fisica Sperimentale, Crust, upper, Geodesy, [PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph], Geophysics (physics.geo-ph), and lower crust, Depth sounding, Geophysics, 13. Climate action, Space and Planetary Science, business, Geology, Bayesian method, geophysical uncertainties, GOCE data gravimetric inversion, Monte Carlo stochastic optimization, South China Block,upper and middle and lower crust
Abstract

Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3D numerical model constituted by ~46 x 10$^{3}$ voxels of 50 x 50 x 0.1 km, built by inverting gravimetric data over the 6{\deg} x 4{\deg} area centered at the Jiangmen Underground Neutrino Observatory (JUNO) experiment, currently under construction in the Guangdong Province (China). The a-priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P-wave velocity models and Moho depth maps, according to their own accuracy and spatial resolution. The inversion method allowed for integrating GOCE data with the a-priori information and regularization conditions through a Bayesian approach and a stochastic optimization. GIGJ fits the homogeneously distributed GOCE gravity data, characterized by high accuracy, with a ~1 mGal standard deviation of the residuals, compatible with the observation accuracy. Conversely to existing global models, GIGJ provides a site-specific subdivision of the crustal layers masses which uncertainties include estimation errors, associated to the gravimetric solution, and systematic uncertainties, related to the adoption of a fixed sedimentary layer. A consequence of this local rearrangement of the crustal layer thicknesses is a ~21% reduction and a ~24% increase of the middle and lower crust expected geoneutrino signal, respectively. Finally, the geophysical uncertainties of geoneutrino signals at JUNO produced by unitary uranium and thorium abundances distributed in the upper, middle and lower crust are reduced by 77%, 55% and 78%, respectively. The numerical model is available at http://www.fe.infn.it/u/radioactivity/GIGJ, Comment: 35 pages, 9 figures, 4 tables

Published
2019

13. Distillation and stripping pilot plants for the JUNO neutrino detector: Design, operations and reliability

Author

D. Corti, Andrea Fabbri, Giuseppe Verde, S. Bussino, H. Steiger, R. Pompilio, Yury Malyshkin, L. Votano, E. Bernier, Nicomede Pelliccia, R. Brugnera, Aldo Romani, A. Mengucci, Lino Miramonti, Augusto Brigatti, E. Meroni, Filippo Marini, Salvatore Monforte, Chiara Sirignano, Monica Sisti, Andrey Formozov, Gioacchino Ranucci, Marco Grassi, D. Riondino, Agnese Giaz, Davide Chiesa, A. Garfagnini, Alessandra Re, R. Gaigher, Paolo Montini, Catia Clementi, Ezio Previtali, Massimiliano Nastasi, S. Parmeggiano, Barbara Ricci, Fabio Mantovani, R. J. Ford, Marco Giammarchi, Rossella Caruso, Giuseppe Salamanna, Mario Buscemi, P. Saggese, G. Galet, Ivano Lippi, Antonio Budano, Giovanni Fiorentini, F. Dal Corso, Wilfried Depnering, Fausto Ortica, Cristina Martellini, S. Franke, Jari Joutsenvaara, Giulio Settanta, Stefano Maria Mari, Vito Antonelli, Roberto Isocrate, Virginia Strati, G. Andronico, Paolo Lombardi, Alessandro Paoloni, Agnese Martini, Fatma Sawy, Luca Stanco, M. Montuschi, D. Pedretti, Xuefeng Ding, A. Insolia, M. Mezzetto, Marica Baldoncini, M. Bellato, S. Dusini, AstroParticule et Cosmologie (APC (UMR_7164)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Lombardi, P, Montuschi, M, Formozov, A, Brigatti, A, Parmeggiano, S, Pompilio, R, Depnering, W, Franke, S, Gaigher, R, Joutsenvaara, J, Mengucci, A, Meroni, E, Steiger, H, Mantovani, F, Ranucci, G, Andronico, G, Antonelli, V, Baldoncini, M, Bellato, M, Bernier, E, Brugnera, R, Budano, A, Buscemi, M, Bussino, S, Caruso, R, Chiesa, D, Clementi, C, Corti, D, Dal Corso, F, Ding, X, Dusini, S, Fabbri, A, Fiorentini, G, Ford, R, Galet, G, Garfagnini, A, Giammarchi, M, Giaz, A, Grassi, M, Insolia, A, Isocrate, R, Lippi, I, Malyshkin, Y, Mari, S, Marini, F, Martellini, C, Martini, A, Mezzetto, M, Miramonti, L, Monforte, S, Montini, P, Nastasi, M, Ortica, F, Paoloni, A, Pedretti, D, Pelliccia, N, Previtali, E, Re, A, Ricci, B, Riondino, D, Romani, A, Saggese, P, Salamanna, G, Sawy, F, Settanta, G, Sisti, M, Sirignano, C, Stanco, L, Strati, V, Verde, G, Votano, L, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Lombardi, P., Montuschi, M., Formozov, A., Brigatti, A., Parmeggiano, S., Pompilio, R., Depnering, W., Franke, S., Gaigher, R., Joutsenvaara, J., Mengucci, A., Meroni, E., Steiger, H., Mantovani, F., Ranucci, G., Andronico, G., Antonelli, V., Baldoncini, M., Bellato, M., Bernier, E., Brugnera, R., Budano, A., Buscemi, M., Bussino, S., Caruso, R., Chiesa, D., Clementi, C., Corti, D., Dal Corso, F., Ding, X. F., Dusini, S., Fabbri, A., Fiorentini, G., Ford, R., Galet, G., Garfagnini, A., Giammarchi, M., Giaz, A., Grassi, M., Insolia, A., Isocrate, R., Lippi, I., Malyshkin, Y., Mari, S. M., Marini, F., Martellini, C., Martini, A., Mezzetto, M., Miramonti, L., Monforte, S., Montini, P., Nastasi, M., Ortica, F., Paoloni, A., Pedretti, D., Pelliccia, N., Previtali, E., Re, A. C., Ricci, B., Riondino, D., Romani, A., Saggese, P., Salamanna, G., Sawy, F. H., Settanta, G., Sisti, M., Sirignano, C., Stanco, L., Strati, V., Verde, G., Votano, L., Lombardi P., Montuschi M., Formozov A., Brigatti A., Parmeggiano S., Pompilio R., Depnering W., Franke S., Gaigher R., Joutsenvaara J., Mengucci A., Meroni E., Steiger H., Mantovani F., Ranucci G., Andronico G., Antonelli V., Baldoncini M., Bellato M., Bernier E., Brugnera R., Budano A., Buscemi M., Bussino S., Caruso R., Chiesa D., Clementi C., Corti D., Dal Corso F., Ding X.F., Dusini S., Fabbri A., Fiorentini G., Ford R., Galet G., Garfagnini A., Giammarchi M., Giaz A., Grassi M., Insolia A., Isocrate R., Lippi I., Malyshkin Y., Mari S.M., Marini F., Martellini C., Martini A., Mezzetto M., Miramonti L., Monforte S., Montini P., Nastasi M., Ortica F., Paoloni A., Pedretti D., Pelliccia N., Previtali E., Re A.C., Ricci B., Riondino D., Romani A., Saggese P., Salamanna G., Sawy F.H., Settanta G., Sisti M., Sirignano C., Stanco L., Strati V., Verde G., and Votano L.

Subjects
Large-scale experiment, Nuclear and High Energy Physics, Physics - Instrumentation and Detectors, Liquid scintillator, Attenuation length, LAB, Large-scale experiments, Light yield, Nitrogen purging, Radiopurity, Scintillator transparency, Instrumentation, scintillation counter: liquid, Mixing (process engineering), Full scale, FOS: Physical sciences, fabrication, Scintillator, 01 natural sciences, 7. Clean energy, Stripping (fiber), law.invention, NO, law, 0103 physical sciences, thorium: admixture, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], 010306 general physics, Process engineering, Distillation, background: radioactivity, Nuclear and High Energy Physic, Physics, JUNO, 010308 nuclear & particles physics, business.industry, uranium: admixture, Settore FIS/01 - Fisica Sperimentale, Instrumentation and Detectors (physics.ins-det), Neutrino detector, Neutrino, business, aluminum: oxygen
Abstract

This paper describes the design, construction principles and operations of the distillation and stripping pilot plants tested at the Daya Bay Neutrino Laboratory, with the perspective to adapt these processes, system cleanliness and leak-tightness standards to the final full scale plants to be used for the purification of the liquid scintillator of the JUNO neutrino detector. The main goal of these plants is to remove radio impurities from the liquid scintillator while increasing its optical attenuation length. Purification of liquid scintillator will be performed with a system combining alumina oxide, distillation, water extraction and steam (or N 2 gas) stripping. Such a combined system will aim at obtaining a total attenuation length greater than 20 m @430 nm, and a bulk radiopurity for 238U and 232Th in the 10−15 ÷ 10−17 g/g range. The pilot plants commissioning and operation have also provided valuable information on the degree of reliability of their main components, which will be particularly useful for the design of the final full scale purification equipment for the JUNO liquid scintillator. This paper describes two of the five pilot plants since the Alumina Column, fluorescent material mixing and the Water Extraction plants are being developed by the Chinese part of the collaboration.

Published
2019

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