Antineutrino energy spectrum unfolding based on the Daya Bay measurement and its applications

F. P. An; A. B. Balantekin; M. Bishai; S. Blyth; G. F. Cao; J. Cao; J. F. Chang; Y. Chang; H. S. Chen; S. M. Chen; Y. Chen; Y. X. Chen; J. Cheng; Z. K. Cheng; J. J. Cherwinka; M. C. Chu; J. P. Cummings; O. Dalager; F. S. Deng; Y. Y. Ding; M. V. Diwan; T. Dohnal; D. Dolzhikov; J. Dove; M. Dvořák; D. A. Dwyer; J. P. Gallo; M. Gonchar; G. H. Gong; H. Gong; M. Grassi; W. Q. Gu; J. Y. Guo; L. Guo; X. H. Guo; Y. H. Guo; Z. Guo; R. W. Hackenburg; S. Hans; M. He; K. M. Heeger; Y. K. Heng; Y. K. Hor; Y. B. Hsiung; B. Z. Hu; J. R. Hu; T. Hu; Z. J. Hu; H. X. Huang; J. H. Huang; X. T. Huang; Y. B. Huang; P. Huber; D. E. Jaffe; K. L. Jen; X. L. Ji; X. P. Ji; R. A. Johnson; D. Jones; L. Kang; S. H. Kettell; S. Kohn; M. Kramer; T. J. Langford; J. H.C. Lee; R. T. Lei; R. Leitner; J. K.C. Leung; F. Li; H. L. Li; J. J. Li; Q. J. Li; R. H. Li; S. Li; S. C. Li; W. D. Li; X. N. Li; X. Q. Li; Y. F. Li; Z. B. Li; H. Liang; C. J. Lin; G. L. Lin; S. Lin; J. J. Ling; J. M. Link; L. Littenberg; B. R. Littlejohn; J. C. Liu; J. L. Liu; J. X. Liu; C. Lu; H. Q. Lu; K. B. Luk; B. Z. Ma; X. B. Ma; X. Y. Ma; Y. Q. Ma; R. C. Mandujano; C. Marshall; K. T. McDonald; R. D. McKeown; Y. Meng; J. Napolitano; D. Naumov; E. Naumova; T. M.T. Nguyen; J. P. Ochoa-Ricoux; A. Olshevskiy; H. R. Pan; J. Park; S. Patton; J. C. Peng; C. S.J. Pun; F. Z. Qi; M. Qi; X. Qian; N. Raper; J. Ren; C. Morales Reveco; R. Rosero; B. Roskovec; X. C. Ruan; H. Steiner; J. L. Sun; T. Tmej; K. Treskov; W. H. Tse; C. E. Tull; B. Viren; V. Vorobel; C. H. Wang; J. Wang; M. Wang; N. Y. Wang; R. G. Wang; W. Wang; W. Wang; X. Wang; Y. Wang; Y. F. Wang; Z. Wang; Z. Wang; Z. M. Wang; H. Y. Wei; L. H. Wei; L. J. Wen; K. Whisnant; C. G. White; H. L.H. Wong; E. Worcester; D. R. Wu; F. L. Wu; Q. Wu; W. J. Wu; D. M. Xia; Z. Q. Xie; Z. Z. Xing; H. K. Xu; J. L. Xu; T. Xu; T. Xue; C. G. Yang; L. Yang; Y. Z. Yang; H. F. Yao; M. Ye; M. Yeh; B. L. Young; H. Z. Yu; Z. Y. Yu; B. B. Yue; V. Zavadskyi; S. Zeng; Y. Zeng; L. Zhan; C. Zhang; F. Y. Zhang; H. H. Zhang; J. W. Zhang; Q. M. Zhang; S. Q. Zhang; X. T. Zhang; Y. M. Zhang; Y. X. Zhang; Y. Y. Zhang; Z. J. Zhang; Z. P. Zhang; Z. Y. Zhang; J. Zhao; R. Z. Zhao; L. Zhou; H. L. Zhuang; J. H. Zou

doi:10.1088/1674-1137/abfc38

Antineutrino energy spectrum unfolding based on the Daya Bay measurement and its applications

F. P. An, A. B. Balantekin, M. Bishai, S. Blyth, G. F. Cao, J. Cao, J. F. Chang, Y. Chang, H. S. Chen, S. M. Chen, Y. Chen, Y. X. Chen, J. Cheng, Z. K. Cheng, J. J. Cherwinka, M. C. Chu, J. P. Cummings, O. Dalager, F. S. Deng, Y. Y. DingM. V. Diwan, T. Dohnal, D. Dolzhikov, J. Dove, M. Dvořák, D. A. Dwyer, J. P. Gallo, M. Gonchar, G. H. Gong, H. Gong, M. Grassi, W. Q. Gu, J. Y. Guo, L. Guo, X. H. Guo, Y. H. Guo, Z. Guo, R. W. Hackenburg, S. Hans, M. He, K. M. Heeger, Y. K. Heng, Y. K. Hor, Y. B. Hsiung, B. Z. Hu, J. R. Hu, T. Hu, Z. J. Hu, H. X. Huang, J. H. Huang, X. T. Huang, Y. B. Huang, P. Huber, D. E. Jaffe, K. L. Jen, X. L. Ji, X. P. Ji, R. A. Johnson, D. Jones, L. Kang, S. H. Kettell, S. Kohn, M. Kramer, T. J. Langford, J. H.C. Lee, R. T. Lei, R. Leitner, J. K.C. Leung, F. Li, H. L. Li, J. J. Li, Q. J. Li, R. H. Li, S. Li, S. C. Li, W. D. Li, X. N. Li, X. Q. Li, Y. F. Li, Z. B. Li, H. Liang, C. J. Lin, G. L. Lin, S. Lin, J. J. Ling, J. M. Link, L. Littenberg, B. R. Littlejohn, J. C. Liu, J. L. Liu, J. X. Liu, C. Lu, H. Q. Lu, K. B. Luk, B. Z. Ma, X. B. Ma, X. Y. Ma, Y. Q. Ma, R. C. Mandujano, C. Marshall, K. T. McDonald, R. D. McKeown, Y. Meng, J. Napolitano, D. Naumov, E. Naumova, T. M.T. Nguyen, J. P. Ochoa-Ricoux, A. Olshevskiy, H. R. Pan, J. Park, S. Patton, J. C. Peng, C. S.J. Pun, F. Z. Qi, M. Qi, X. Qian, N. Raper, J. Ren, C. Morales Reveco, R. Rosero, B. Roskovec, X. C. Ruan, H. Steiner, J. L. Sun, T. Tmej, K. Treskov, W. H. Tse, C. E. Tull, B. Viren, V. Vorobel, C. H. Wang, J. Wang, M. Wang, N. Y. Wang, R. G. Wang, W. Wang, W. Wang, X. Wang, Y. Wang, Y. F. Wang, Z. Wang, Z. Wang, Z. M. Wang, H. Y. Wei, L. H. Wei, L. J. Wen, K. Whisnant, C. G. White, H. L.H. Wong, E. Worcester, D. R. Wu, F. L. Wu, Q. Wu, W. J. Wu, D. M. Xia, Z. Q. Xie, Z. Z. Xing, H. K. Xu, J. L. Xu, T. Xu, T. Xue, C. G. Yang, L. Yang, Y. Z. Yang, H. F. Yao, M. Ye, M. Yeh, B. L. Young, H. Z. Yu, Z. Y. Yu, B. B. Yue, V. Zavadskyi, S. Zeng, Y. Zeng, L. Zhan, C. Zhang, F. Y. Zhang, H. H. Zhang, J. W. Zhang, Q. M. Zhang, S. Q. Zhang, X. T. Zhang, Y. M. Zhang, Y. X. Zhang, Y. Y. Zhang, Z. J. Zhang, Z. P. Zhang, Z. Y. Zhang, J. Zhao, R. Z. Zhao, L. Zhou, H. L. Zhuang, J. H. Zou

物理研究所

研究成果: Review article › 同行評審

26 引文斯高帕斯（Scopus）

摘要

The prediction of reactor antineutrino spectra will play a crucial role as reactor experiments enter the precision era. The positron energy spectrum of 3.5 million antineutrino inverse beta decay reactions observed by the Daya Bay experiment, in combination with the fission rates of fissile isotopes in the reactor, is used to extract the positron energy spectra resulting from the fission of specific isotopes. This information can be used to produce a precise, data-based prediction of the antineutrino energy spectrum in other reactor antineutrino experiments with different fission fractions than Daya Bay. The positron energy spectra are unfolded to obtain the antineutrino energy spectra by removing the contribution from detector response with the Wiener-SVD unfolding method. Consistent results are obtained with other unfolding methods. A technique to construct a data-based prediction of the reactor antineutrino energy spectrum is proposed and investigated. Given the reactor fission fractions, the technique can predict the energy spectrum to a 2% precision. In addition, we illustrate how to perform a rigorous comparison between the unfolded antineutrino spectrum and a theoretical model prediction that avoids the input model bias of the unfolding method.

原文	English
文章編號	073001
期刊	Chinese Physics C
卷	45
發行號	7
DOIs	https://doi.org/10.1088/1674-1137/abfc38
出版狀態	Published - 7月 2021

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10.1088/1674-1137/abfc38

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Link to publication in Scopus

引用此

An, F. P., Balantekin, A. B., Bishai, M., Blyth, S., Cao, G. F., Cao, J., Chang, J. F., Chang, Y., Chen, H. S., Chen, S. M., Chen, Y., Chen, Y. X., Cheng, J., Cheng, Z. K., Cherwinka, J. J., Chu, M. C., Cummings, J. P., Dalager, O., Deng, F. S., ... Zou, J. H. (2021). Antineutrino energy spectrum unfolding based on the Daya Bay measurement and its applications. Chinese Physics C, 45(7), 文章 073001. https://doi.org/10.1088/1674-1137/abfc38

@article{1ed492a3bfb54fe69b7c81c5c2b9c499,

title = "Antineutrino energy spectrum unfolding based on the Daya Bay measurement and its applications",

abstract = "The prediction of reactor antineutrino spectra will play a crucial role as reactor experiments enter the precision era. The positron energy spectrum of 3.5 million antineutrino inverse beta decay reactions observed by the Daya Bay experiment, in combination with the fission rates of fissile isotopes in the reactor, is used to extract the positron energy spectra resulting from the fission of specific isotopes. This information can be used to produce a precise, data-based prediction of the antineutrino energy spectrum in other reactor antineutrino experiments with different fission fractions than Daya Bay. The positron energy spectra are unfolded to obtain the antineutrino energy spectra by removing the contribution from detector response with the Wiener-SVD unfolding method. Consistent results are obtained with other unfolding methods. A technique to construct a data-based prediction of the reactor antineutrino energy spectrum is proposed and investigated. Given the reactor fission fractions, the technique can predict the energy spectrum to a 2% precision. In addition, we illustrate how to perform a rigorous comparison between the unfolded antineutrino spectrum and a theoretical model prediction that avoids the input model bias of the unfolding method.",

keywords = "Application, Daya Bay, Energy spectrum, Reactor antineutrino",

author = "An, {F. P.} and Balantekin, {A. B.} and M. Bishai and S. Blyth and Cao, {G. F.} and J. Cao and Chang, {J. F.} and Y. Chang and Chen, {H. S.} and Chen, {S. M.} and Y. Chen and Chen, {Y. X.} and J. Cheng and Cheng, {Z. K.} and Cherwinka, {J. J.} and Chu, {M. C.} and Cummings, {J. P.} and O. Dalager and Deng, {F. S.} and Ding, {Y. Y.} and Diwan, {M. V.} and T. Dohnal and D. Dolzhikov and J. Dove and M. Dvo{\v r}{\'a}k and Dwyer, {D. A.} and Gallo, {J. P.} and M. Gonchar and Gong, {G. H.} and H. Gong and M. Grassi and Gu, {W. Q.} and Guo, {J. Y.} and L. Guo and Guo, {X. H.} and Guo, {Y. H.} and Z. Guo and Hackenburg, {R. W.} and S. Hans and M. He and Heeger, {K. M.} and Heng, {Y. K.} and Hor, {Y. K.} and Hsiung, {Y. B.} and Hu, {B. Z.} and Hu, {J. R.} and T. Hu and Hu, {Z. J.} and Huang, {H. X.} and Huang, {J. H.} and Huang, {X. T.} and Huang, {Y. B.} and P. Huber and Jaffe, {D. E.} and Jen, {K. L.} and Ji, {X. L.} and Ji, {X. P.} and Johnson, {R. A.} and D. Jones and L. Kang and Kettell, {S. H.} and S. Kohn and M. Kramer and Langford, {T. J.} and Lee, {J. H.C.} and Lei, {R. T.} and R. Leitner and Leung, {J. K.C.} and F. Li and Li, {H. L.} and Li, {J. J.} and Li, {Q. J.} and Li, {R. H.} and S. Li and Li, {S. C.} and Li, {W. D.} and Li, {X. N.} and Li, {X. Q.} and Li, {Y. F.} and Li, {Z. B.} and H. Liang and Lin, {C. J.} and Lin, {G. L.} and S. Lin and Ling, {J. J.} and Link, {J. M.} and L. Littenberg and Littlejohn, {B. R.} and Liu, {J. C.} and Liu, {J. L.} and Liu, {J. X.} and C. Lu and Lu, {H. Q.} and Luk, {K. B.} and Ma, {B. Z.} and Ma, {X. B.} and Ma, {X. Y.} and Ma, {Y. Q.} and Mandujano, {R. C.} and C. Marshall and McDonald, {K. T.} and McKeown, {R. D.} and Y. Meng and J. Napolitano and D. Naumov and E. Naumova and Nguyen, {T. M.T.} and Ochoa-Ricoux, {J. P.} and A. Olshevskiy and Pan, {H. R.} and J. Park and S. Patton and Peng, {J. C.} and Pun, {C. S.J.} and Qi, {F. Z.} and M. Qi and X. Qian and N. Raper and J. Ren and Reveco, {C. Morales} and R. Rosero and B. Roskovec and Ruan, {X. C.} and H. Steiner and Sun, {J. L.} and T. Tmej and K. Treskov and Tse, {W. H.} and Tull, {C. E.} and B. Viren and V. Vorobel and Wang, {C. H.} and J. Wang and M. Wang and Wang, {N. Y.} and Wang, {R. G.} and W. Wang and W. Wang and X. Wang and Y. Wang and Wang, {Y. F.} and Z. Wang and Z. Wang and Wang, {Z. M.} and Wei, {H. Y.} and Wei, {L. H.} and Wen, {L. J.} and K. Whisnant and White, {C. G.} and Wong, {H. L.H.} and E. Worcester and Wu, {D. R.} and Wu, {F. L.} and Q. Wu and Wu, {W. J.} and Xia, {D. M.} and Xie, {Z. Q.} and Xing, {Z. Z.} and Xu, {H. K.} and Xu, {J. L.} and T. Xu and T. Xue and Yang, {C. G.} and L. Yang and Yang, {Y. Z.} and Yao, {H. F.} and M. Ye and M. Yeh and Young, {B. L.} and Yu, {H. Z.} and Yu, {Z. Y.} and Yue, {B. B.} and V. Zavadskyi and S. Zeng and Y. Zeng and L. Zhan and C. Zhang and Zhang, {F. Y.} and Zhang, {H. H.} and Zhang, {J. W.} and Zhang, {Q. M.} and Zhang, {S. Q.} and Zhang, {X. T.} and Zhang, {Y. M.} and Zhang, {Y. X.} and Zhang, {Y. Y.} and Zhang, {Z. J.} and Zhang, {Z. P.} and Zhang, {Z. Y.} and J. Zhao and Zhao, {R. Z.} and L. Zhou and Zhuang, {H. L.} and Zou, {J. H.}",

year = "2021",

month = jul,

doi = "10.1088/1674-1137/abfc38",

language = "English",

volume = "45",

journal = "Chinese Physics C",

issn = "1674-1137",

publisher = "IOP Publishing Ltd.",

number = "7",

}

An, FP, Balantekin, AB, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Cummings, JP, Dalager, O, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dolzhikov, D, Dove, J, Dvořák, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, JH, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Kohn, S, Kramer, M, Langford, TJ, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, HL, Li, JJ, Li, QJ, Li, RH, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, JX, Lu, C, Lu, HQ, Luk, KB, Ma, BZ, Ma, XB, Ma, XY, Ma, YQ, Mandujano, RC, Marshall, C, McDonald, KT, McKeown, RD, Meng, Y, Napolitano, J, Naumov, D, Naumova, E, Nguyen, TMT, Ochoa-Ricoux, JP, Olshevskiy, A, Pan, HR, Park, J, Patton, S, Peng, JC, Pun, CSJ, Qi, FZ, Qi, M, Qian, X, Raper, N, Ren, J, Reveco, CM, Rosero, R, Roskovec, B, Ruan, XC, Steiner, H, Sun, JL, Tmej, T, Treskov, K, Tse, WH, Tull, CE, Viren, B, Vorobel, V, Wang, CH, Wang, J, Wang, M, Wang, NY, Wang, RG, Wang, W, Wang, W, Wang, X, Wang, Y, Wang, YF, Wang, Z, Wang, Z, Wang, ZM, Wei, HY, Wei, LH, Wen, LJ, Whisnant, K, White, CG, Wong, HLH, Worcester, E, Wu, DR, Wu, FL, Wu, Q, Wu, WJ, Xia, DM, Xie, ZQ, Xing, ZZ, Xu, HK, Xu, JL, Xu, T, Xue, T, Yang, CG, Yang, L, Yang, YZ, Yao, HF, Ye, M, Yeh, M, Young, BL, Yu, HZ, Yu, ZY, Yue, BB, Zavadskyi, V, Zeng, S, Zeng, Y, Zhan, L, Zhang, C, Zhang, FY, Zhang, HH, Zhang, JW, Zhang, QM, Zhang, SQ, Zhang, XT, Zhang, YM, Zhang, YX, Zhang, YY, Zhang, ZJ, Zhang, ZP, Zhang, ZY, Zhao, J, Zhao, RZ, Zhou, L, Zhuang, HL & Zou, JH 2021, 'Antineutrino energy spectrum unfolding based on the Daya Bay measurement and its applications', Chinese Physics C, 卷 45, 編號 7, 073001. https://doi.org/10.1088/1674-1137/abfc38

TY - JOUR

T1 - Antineutrino energy spectrum unfolding based on the Daya Bay measurement and its applications

AU - An, F. P.

AU - Balantekin, A. B.

AU - Bishai, M.

AU - Blyth, S.

AU - Cao, G. F.

AU - Cao, J.

AU - Chang, J. F.

AU - Chang, Y.

AU - Chen, H. S.

AU - Chen, S. M.

AU - Chen, Y.

AU - Chen, Y. X.

AU - Cheng, J.

AU - Cheng, Z. K.

AU - Cherwinka, J. J.

AU - Chu, M. C.

AU - Cummings, J. P.

AU - Dalager, O.

AU - Deng, F. S.

AU - Ding, Y. Y.

AU - Diwan, M. V.

AU - Dohnal, T.

AU - Dolzhikov, D.

AU - Dove, J.

AU - Dvořák, M.

AU - Dwyer, D. A.

AU - Gallo, J. P.

AU - Gonchar, M.

AU - Gong, G. H.

AU - Gong, H.

AU - Grassi, M.

AU - Gu, W. Q.

AU - Guo, J. Y.

AU - Guo, L.

AU - Guo, X. H.

AU - Guo, Y. H.

AU - Guo, Z.

AU - Hackenburg, R. W.

AU - Hans, S.

AU - He, M.

AU - Heeger, K. M.

AU - Heng, Y. K.

AU - Hor, Y. K.

AU - Hsiung, Y. B.

AU - Hu, B. Z.

AU - Hu, J. R.

AU - Hu, T.

AU - Hu, Z. J.

AU - Huang, H. X.

AU - Huang, J. H.

AU - Huang, X. T.

AU - Huang, Y. B.

AU - Huber, P.

AU - Jaffe, D. E.

AU - Jen, K. L.

AU - Ji, X. L.

AU - Ji, X. P.

AU - Johnson, R. A.

AU - Jones, D.

AU - Kang, L.

AU - Kettell, S. H.

AU - Kohn, S.

AU - Kramer, M.

AU - Langford, T. J.

AU - Lee, J. H.C.

AU - Lei, R. T.

AU - Leitner, R.

AU - Leung, J. K.C.

AU - Li, F.

AU - Li, H. L.

AU - Li, J. J.

AU - Li, Q. J.

AU - Li, R. H.

AU - Li, S.

AU - Li, S. C.

AU - Li, W. D.

AU - Li, X. N.

AU - Li, X. Q.

AU - Li, Y. F.

AU - Li, Z. B.

AU - Liang, H.

AU - Lin, C. J.

AU - Lin, G. L.

AU - Lin, S.

AU - Ling, J. J.

AU - Link, J. M.

AU - Littenberg, L.

AU - Littlejohn, B. R.

AU - Liu, J. C.

AU - Liu, J. L.

AU - Liu, J. X.

AU - Lu, C.

AU - Lu, H. Q.

AU - Luk, K. B.

AU - Ma, B. Z.

AU - Ma, X. B.

AU - Ma, X. Y.

AU - Ma, Y. Q.

AU - Mandujano, R. C.

AU - Marshall, C.

AU - McDonald, K. T.

AU - McKeown, R. D.

AU - Meng, Y.

AU - Napolitano, J.

AU - Naumov, D.

AU - Naumova, E.

AU - Nguyen, T. M.T.

AU - Ochoa-Ricoux, J. P.

AU - Olshevskiy, A.

AU - Pan, H. R.

AU - Park, J.

AU - Patton, S.

AU - Peng, J. C.

AU - Pun, C. S.J.

AU - Qi, F. Z.

AU - Qi, M.

AU - Qian, X.

AU - Raper, N.

AU - Ren, J.

AU - Reveco, C. Morales

AU - Rosero, R.

AU - Roskovec, B.

AU - Ruan, X. C.

AU - Steiner, H.

AU - Sun, J. L.

AU - Tmej, T.

AU - Treskov, K.

AU - Tse, W. H.

AU - Tull, C. E.

AU - Viren, B.

AU - Vorobel, V.

AU - Wang, C. H.

AU - Wang, J.

AU - Wang, M.

AU - Wang, N. Y.

AU - Wang, R. G.

AU - Wang, W.

AU - Wang, X.

AU - Wang, Y.

AU - Wang, Y. F.

AU - Wang, Z.

AU - Wang, Z. M.

AU - Wei, H. Y.

AU - Wei, L. H.

AU - Wen, L. J.

AU - Whisnant, K.

AU - White, C. G.

AU - Wong, H. L.H.

AU - Worcester, E.

AU - Wu, D. R.

AU - Wu, F. L.

AU - Wu, Q.

AU - Wu, W. J.

AU - Xia, D. M.

AU - Xie, Z. Q.

AU - Xing, Z. Z.

AU - Xu, H. K.

AU - Xu, J. L.

AU - Xu, T.

AU - Xue, T.

AU - Yang, C. G.

AU - Yang, L.

AU - Yang, Y. Z.

AU - Yao, H. F.

AU - Ye, M.

AU - Yeh, M.

AU - Young, B. L.

AU - Yu, H. Z.

AU - Yu, Z. Y.

AU - Yue, B. B.

AU - Zavadskyi, V.

AU - Zeng, S.

AU - Zeng, Y.

AU - Zhan, L.

AU - Zhang, C.

AU - Zhang, F. Y.

AU - Zhang, H. H.

AU - Zhang, J. W.

AU - Zhang, Q. M.

AU - Zhang, S. Q.

AU - Zhang, X. T.

AU - Zhang, Y. M.

AU - Zhang, Y. X.

AU - Zhang, Y. Y.

AU - Zhang, Z. J.

AU - Zhang, Z. P.

AU - Zhang, Z. Y.

AU - Zhao, J.

AU - Zhao, R. Z.

AU - Zhou, L.

AU - Zhuang, H. L.

AU - Zou, J. H.

PY - 2021/7

Y1 - 2021/7

N2 - The prediction of reactor antineutrino spectra will play a crucial role as reactor experiments enter the precision era. The positron energy spectrum of 3.5 million antineutrino inverse beta decay reactions observed by the Daya Bay experiment, in combination with the fission rates of fissile isotopes in the reactor, is used to extract the positron energy spectra resulting from the fission of specific isotopes. This information can be used to produce a precise, data-based prediction of the antineutrino energy spectrum in other reactor antineutrino experiments with different fission fractions than Daya Bay. The positron energy spectra are unfolded to obtain the antineutrino energy spectra by removing the contribution from detector response with the Wiener-SVD unfolding method. Consistent results are obtained with other unfolding methods. A technique to construct a data-based prediction of the reactor antineutrino energy spectrum is proposed and investigated. Given the reactor fission fractions, the technique can predict the energy spectrum to a 2% precision. In addition, we illustrate how to perform a rigorous comparison between the unfolded antineutrino spectrum and a theoretical model prediction that avoids the input model bias of the unfolding method.

AB - The prediction of reactor antineutrino spectra will play a crucial role as reactor experiments enter the precision era. The positron energy spectrum of 3.5 million antineutrino inverse beta decay reactions observed by the Daya Bay experiment, in combination with the fission rates of fissile isotopes in the reactor, is used to extract the positron energy spectra resulting from the fission of specific isotopes. This information can be used to produce a precise, data-based prediction of the antineutrino energy spectrum in other reactor antineutrino experiments with different fission fractions than Daya Bay. The positron energy spectra are unfolded to obtain the antineutrino energy spectra by removing the contribution from detector response with the Wiener-SVD unfolding method. Consistent results are obtained with other unfolding methods. A technique to construct a data-based prediction of the reactor antineutrino energy spectrum is proposed and investigated. Given the reactor fission fractions, the technique can predict the energy spectrum to a 2% precision. In addition, we illustrate how to perform a rigorous comparison between the unfolded antineutrino spectrum and a theoretical model prediction that avoids the input model bias of the unfolding method.

KW - Application

KW - Daya Bay

KW - Energy spectrum

KW - Reactor antineutrino

UR - http://www.scopus.com/inward/record.url?scp=85110512081&partnerID=8YFLogxK

U2 - 10.1088/1674-1137/abfc38

DO - 10.1088/1674-1137/abfc38

M3 - Review article

AN - SCOPUS:85110512081

SN - 1674-1137

VL - 45

JO - Chinese Physics C

JF - Chinese Physics C

IS - 7

M1 - 073001

ER -

Antineutrino energy spectrum unfolding based on the Daya Bay measurement and its applications

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