Author: "Liu JC" / Publication Type: Electronic Resources - Searchworks@Jio Institute Digital Library Search Results

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1. Precision Measurement of Reactor Antineutrino Oscillation at Kilometer-Scale Baselines by Daya Bay

Author: An, FP, An, FP, Bai, WD, Balantekin, AB, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, HY, Chen, SM, Chen, Y, Chen, YX, Chen, ZY, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Cummings, JP, Dalager, O, Deng, FS, Ding, YY, Ding, XY, Diwan, MV, Dohnal, T, Dolzhikov, D, Dove, J, Duyang, HY, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Han, Y, 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, J, 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, Z., B, An, FP, An, FP, Bai, WD, Balantekin, AB, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, HY, Chen, SM, Chen, Y, Chen, YX, Chen, ZY, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Cummings, JP, Dalager, O, Deng, FS, Ding, YY, Ding, XY, Diwan, MV, Dohnal, T, Dolzhikov, D, Dove, J, Duyang, HY, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Han, Y, 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, J, 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, and Z., B
Published: 2023

2. Improved Measurement of the Evolution of the Reactor Antineutrino Flux and Spectrum at Daya Bay

Author: An, FP, An, FP, Bai, WD, Balantekin, AB, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, HY, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, Y-C, Cheng, ZK, Cherwinka, JJ, Chu, MC, Cummings, JP, Dalager, O, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dolzhikov, D, Dove, J, Dugas, KV, Duyang, HY, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Han, Y, 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, J, 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, An, FP, An, FP, Bai, WD, Balantekin, AB, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, HY, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, Y-C, Cheng, ZK, Cherwinka, JJ, Chu, MC, Cummings, JP, Dalager, O, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dolzhikov, D, Dove, J, Dugas, KV, Duyang, HY, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Han, Y, 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, J, 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, and Luk, KB
Abstract: Reactor neutrino experiments play a crucial role in advancing our knowledge of neutrinos. In this Letter, the evolution of the flux and spectrum as a function of the reactor isotopic content is reported in terms of the inverse-beta-decay yield at Daya Bay with 1958 days of data and improved systematic uncertainties. These measurements are compared with two signature model predictions: the Huber-Mueller model based on the conversion method and the SM2018 model based on the summation method. The measured average flux and spectrum, as well as the flux evolution with the ^{239}Pu isotopic fraction, are inconsistent with the predictions of the Huber-Mueller model. In contrast, the SM2018 model is shown to agree with the average flux and its evolution but fails to describe the energy spectrum. Altering the predicted inverse-beta-decay spectrum from ^{239}Pu fission does not improve the agreement with the measurement for either model. The models can be brought into better agreement with the measurements if either the predicted spectrum due to ^{235}U fission is changed or the predicted ^{235}U, ^{238}U, ^{239}Pu, and ^{241}Pu spectra are changed in equal measure.
Published: 2023

3. First Measurement of High-Energy Reactor Antineutrinos at Daya Bay

Author: An, FP, An, FP, Bai, WD, Balantekin, AB, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, HY, 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, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, 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, J, 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, Z., B, B., X, Y., X, Q., Y, Mandujano, RC, An, FP, An, FP, Bai, WD, Balantekin, AB, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, HY, 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, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, 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, J, 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, Z., B, B., X, Y., X, Q., Y, and Mandujano, RC
Published: 2022

4. Search for electron-Antineutrinos associated with gravitational-wave events GW150914, GW151012, GW151226, GW170104, GW170608, GW170814, and GW170817 at Daya Bay

Author: An, FP, An, FP, Balantekin, AB, Band, HR, 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, Dove, J, Dvořák, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, 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, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, JJ, Li, QJ, 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, Lu, C, Lu, HQ, Lu, JS, Luk, KB, Ma, XB, Ma, XY, Ma, YQ, Marshall, C, Martinez Caicedo, DA, McDonald, KT, McKeown, RD, Meng, Y, An, FP, An, FP, Balantekin, AB, Band, HR, 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, Dove, J, Dvořák, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, 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, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, JJ, Li, QJ, 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, Lu, C, Lu, HQ, Lu, JS, Luk, KB, Ma, XB, Ma, XY, Ma, YQ, Marshall, C, Martinez Caicedo, DA, McDonald, KT, McKeown, RD, and Meng, Y
Abstract: The establishment of a possible connection between neutrino emission and gravitational-wave (GW) bursts is important to our understanding of the physical processes that occur when black holes or neutron stars merge. In the Daya Bay experiment, using the data collected from December 2011 to August 2017, a search was performed for electron-Antineutrino signals that coincided with detected GW events, including GW150914, GW151012, GW151226, GW170104, GW170608, GW170814, and GW170817. We used three time windows of 10, 500, and 1000 s relative to the occurrence of the GW events and a neutrino energy range of 1.8 to 100 MeV to search for correlated neutrino candidates. The detected electron-Antineutrino candidates were consistent with the expected background rates for all the three time windows. Assuming monochromatic spectra, we found upper limits (90% confidence level) of the electron-Antineutrino fluence of (1.13-2.44)×1011 cm-2 at 5 MeV to 8.0×107 cm-2 at 100 MeV for the three time windows. Under the assumption of a Fermi-Dirac spectrum, the upper limits were found to be (5.4-7.0)×109 cm-2 for the three time windows.
Published: 2021

5. Antineutrino Energy Spectrum Unfolding Based on the Daya Bay Measurement and Its Applications

Author: collaboration, Daya Bay, collaboration, Daya Bay, An, FP, Balantekin, AB, Band, HR, 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, Dove, J, Dvorak, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, 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, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, JJ, Li, QJ, 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, Lu, C, Lu, HQ, Lu, JS, Luk, KB, Ma, XB, Ma, XY, Ma, YQ, Marshall, C, Caicedo, DA Martinez, McDonald, KT, McKeown, RD, collaboration, Daya Bay, collaboration, Daya Bay, An, FP, Balantekin, AB, Band, HR, 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, Dove, J, Dvorak, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, 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, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, JJ, Li, QJ, 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, Lu, C, Lu, HQ, Lu, JS, Luk, KB, Ma, XB, Ma, XY, Ma, YQ, Marshall, C, Caicedo, DA Martinez, McDonald, KT, and McKeown, RD
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.
Published: 2021

6. Search for electron-Antineutrinos associated with gravitational-wave events GW150914, GW151012, GW151226, GW170104, GW170608, GW170814, and GW170817 at Daya Bay

Author: An, FP, An, FP, Balantekin, AB, Band, HR, 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, Dove, J, Dvořák, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, 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, JJ, Li, QJ, 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, Lu, C, Lu, HQ, Lu, JS, Luk, KB, Ma, XB, Ma, XY, Ma, YQ, Marshall, C, Martinez Caicedo, DA, McDonald, KT, McKeown, RD, Meng, Y, Napolitano, J, An, FP, An, FP, Balantekin, AB, Band, HR, 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, Dove, J, Dvořák, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, 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, JJ, Li, QJ, 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, Lu, C, Lu, HQ, Lu, JS, Luk, KB, Ma, XB, Ma, XY, Ma, YQ, Marshall, C, Martinez Caicedo, DA, McDonald, KT, McKeown, RD, Meng, Y, and Napolitano, J
Abstract: The establishment of a possible connection between neutrino emission and gravitational-wave (GW) bursts is important to our understanding of the physical processes that occur when black holes or neutron stars merge. In the Daya Bay experiment, using the data collected from December 2011 to August 2017, a search was performed for electron-Antineutrino signals that coincided with detected GW events, including GW150914, GW151012, GW151226, GW170104, GW170608, GW170814, and GW170817. We used three time windows of 10, 500, and 1000 s relative to the occurrence of the GW events and a neutrino energy range of 1.8 to 100 MeV to search for correlated neutrino candidates. The detected electron-Antineutrino candidates were consistent with the expected background rates for all the three time windows. Assuming monochromatic spectra, we found upper limits (90% confidence level) of the electron-Antineutrino fluence of (1.13-2.44)×1011 cm-2 at 5 MeV to 8.0×107 cm-2 at 100 MeV for the three time windows. Under the assumption of a Fermi-Dirac spectrum, the upper limits were found to be (5.4-7.0)×109 cm-2 for the three time windows.
Published: 2021

7. Antineutrino Energy Spectrum Unfolding Based on the Daya Bay Measurement and Its Applications

Author: collaboration, Daya Bay, collaboration, Daya Bay, An, FP, Balantekin, AB, Band, HR, 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, Dove, J, Dvorak, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, 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, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, JJ, Li, QJ, 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, Lu, C, Lu, HQ, Lu, JS, Luk, KB, Ma, XB, Ma, XY, Ma, YQ, Marshall, C, Caicedo, DA Martinez, McDonald, KT, McKeown, RD, collaboration, Daya Bay, collaboration, Daya Bay, An, FP, Balantekin, AB, Band, HR, 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, Dove, J, Dvorak, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, 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, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, JJ, Li, QJ, 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, Lu, C, Lu, HQ, Lu, JS, Luk, KB, Ma, XB, Ma, XY, Ma, YQ, Marshall, C, Caicedo, DA Martinez, McDonald, KT, and McKeown, RD
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.
Published: 2021

8. Futurama: Learning design and technology research methods

Author: Romero-Hall, E, Correia, AP, Branch, RM, Cevik, YD, Dickson-Deane, C, Chen, B, Liu, JC, Tang, H, Vasconcelos, L, Pallitt, N, Thankachan, B, Romero-Hall, E, Correia, AP, Branch, RM, Cevik, YD, Dickson-Deane, C, Chen, B, Liu, JC, Tang, H, Vasconcelos, L, Pallitt, N, and Thankachan, B
Published: 2021

9. Antineutrino energy spectrum unfolding based on the Daya Bay measurement and its applications * *Supported in part by the Ministry of Science and Technology of China, the U.S. Department of Energy, the Chinese Academy of Sciences, the CAS Center for Excellence in Particle Physics, the National Natural Science Foundation of China, the Guangdong provincial government, the Shenzhen municipal government, the China General Nuclear Power Group, the Research Grants Council of the Hong Kong Special Administrative Region of China, the Ministry of Education in TW, the U.S. National Science Foundation, the Ministry of Education, Youth, and Sports of the Czech Republic, the Charles University Research Centre UNCE, the Joint Institute of Nuclear Research in Dubna, Russia, the National Commission of Scientific and Technological Research of Chile

Author: An, FP, 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, J, 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, Z., B, B., X, Y., X, Q., Y, Mandujano, RC, An, FP, 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, J, 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, Z., B, B., X, Y., X, Q., Y, and Mandujano, RC
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.
Published: 2021

10. Futurama: Learning design and technology research methods

Author: Romero-Hall, E, Correia, AP, Branch, RM, Cevik, YD, Dickson-Deane, C, Chen, B, Liu, JC, Tang, H, Vasconcelos, L, Pallitt, N, Thankachan, B, Romero-Hall, E, Correia, AP, Branch, RM, Cevik, YD, Dickson-Deane, C, Chen, B, Liu, JC, Tang, H, Vasconcelos, L, Pallitt, N, and Thankachan, B
Published: 2021

11. Extraction of the U235 and Pu239 Antineutrino Spectra at Daya Bay

Author: Adey, D, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvořák, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, 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, Y, Liu, YH, Lu, C, Lu, HQ, Lu, JS, Luk, KB, B., X, Adey, D, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvořák, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, 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, Y, Liu, YH, Lu, C, Lu, HQ, Lu, JS, Luk, KB, and B., X
Published: 2019

12. A high precision calibration of the nonlinear energy response at Daya Bay

Author: Adey, D, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvořák, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Jetter, S, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, Lu, HQ, Adey, D, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvořák, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Jetter, S, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, and Lu, HQ
Published: 2019

13. Improved measurement of the reactor antineutrino flux at Daya Bay

Author: Adey, D, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Deng, FS, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, YC, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Loh, CW, Lu, C, Lu, HQ, Adey, D, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Deng, FS, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, YC, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Loh, CW, Lu, C, and Lu, HQ
Abstract: This work reports a precise measurement of the reactor antineutrino flux using 2.2 million inverse beta decay (IBD) events collected with the Daya Bay near detectors in 1230 days. The dominant uncertainty on the neutron detection efficiency is reduced by 56% with respect to the previous measurement through a comprehensive neutron calibration and detailed data and simulation analysis. The new average IBD yield is determined to be (5.91±0.09)×10-43 cm2/fission with total uncertainty improved by 29%. The corresponding mean fission fractions from the four main fission isotopes U235, U238, Pu239, and Pu241 are 0.564, 0.076, 0.304, and 0.056, respectively. The ratio of measured to predicted antineutrino yield is found to be 0.952±0.014±0.023 (1.001±0.015±0.027) for the Huber-Mueller (ILL-Vogel) model, where the first and second uncertainty are experimental and theoretical model uncertainty, respectively. This measurement confirms the discrepancy between the world average of reactor antineutrino flux and the Huber-Mueller model.
Published: 2019

14. Response to Comment on Daya Bay's definition and use of Delta(m^2_ee)

Author: Collaboration, The Day Bay, Collaboration, The Day Bay, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvorak, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, Lu, HQ, Lu, JS, Collaboration, The Day Bay, Collaboration, The Day Bay, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvorak, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, Lu, HQ, and Lu, JS
Abstract: The Daya Bay Collaboration responds to comments posted by S. Parke and R. Zukanovich Funchal regarding our use of Delta(m^2_ee).
Published: 2019

15. Improved measurement of the reactor antineutrino flux at Daya Bay

Author: Adey, D, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Deng, FS, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, YC, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Loh, CW, Lu, C, Lu, HQ, Adey, D, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Deng, FS, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, YC, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Loh, CW, Lu, C, and Lu, HQ
Abstract: This work reports a precise measurement of the reactor antineutrino flux using 2.2 million inverse beta decay (IBD) events collected with the Daya Bay near detectors in 1230 days. The dominant uncertainty on the neutron detection efficiency is reduced by 56% with respect to the previous measurement through a comprehensive neutron calibration and detailed data and simulation analysis. The new average IBD yield is determined to be (5.91±0.09)×10-43 cm2/fission with total uncertainty improved by 29%. The corresponding mean fission fractions from the four main fission isotopes U235, U238, Pu239, and Pu241 are 0.564, 0.076, 0.304, and 0.056, respectively. The ratio of measured to predicted antineutrino yield is found to be 0.952±0.014±0.023 (1.001±0.015±0.027) for the Huber-Mueller (ILL-Vogel) model, where the first and second uncertainty are experimental and theoretical model uncertainty, respectively. This measurement confirms the discrepancy between the world average of reactor antineutrino flux and the Huber-Mueller model.
Published: 2019

16. Response to Comment on Daya Bay's definition and use of Delta(m^2_ee)

Author: Collaboration, The Day Bay, Collaboration, The Day Bay, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvorak, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, Lu, HQ, Lu, JS, Collaboration, The Day Bay, Collaboration, The Day Bay, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvorak, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, Lu, HQ, and Lu, JS
Abstract: The Daya Bay Collaboration responds to comments posted by S. Parke and R. Zukanovich Funchal regarding our use of Delta(m^2_ee).
Published: 2019

17. A predictive load balancing technique for software defined networked cloud services

Author: Yang, CT, Chen, ST, Liu, JC, Su, YW, Puthal, D, Ranjan, R, Yang, CT, Chen, ST, Liu, JC, Su, YW, Puthal, D, and Ranjan, R
Abstract: © 2018, Springer-Verlag GmbH Austria, part of Springer Nature. With the advent of OpenFlow, the concept of Software-Defined Networking (SDN) becomes much popular. In the past, SDN had often been used for network virtualization; however, with the rise of OpenFlow, which speeds up network performance by separating the control layer from the data layer, SDN can be further used to manage physical network facilities. Currently, some OpenFlow controller providers have already provided users with load balancer packages in their controllers for virtual networks, such as the Neutron package in OpenStack; nevertheless, the existing load balancer packages work in the old fashion that causes extra delay since they poll controllers for every new coming connection. In this paper, we use the wildcard mask to implement the load balance method directly on switches or routers and add a user prediction mechanism to change the range of the wildcard mask dynamically. In this way, the load balance mechanism can be applied conforming to real service situations. In our experiment, we test the accuracies of flow prediction for different predicted algorithms and compare the delay times and balance situations of the proposed method with other load balancers. With the popularity of cloud computing, the demand for cloud infrastructure also increases. As a result, we also apply our load balance mechanism on cloud services and prove that the proposed method can be implemented to varieties of service platforms.
Published: 2019

18. Search for a time-varying electron antineutrino signal at Daya Bay

Author: Adey, D, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvořák, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, Lu, HQ, Lu, JS, Adey, D, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvořák, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, Lu, HQ, and Lu, JS
Published: 2018

19. Seasonal variation of the underground cosmic muon flux observed at Daya Bay

Author: An, FP, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, QY, Chen, SM, Chen, YX, Chen, Y, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Huang, EC, Huang, HX, Huang, XT, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Jetter, S, Ji, XP, Ji, XL, Jiao, JB, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Khan, A, Kohn, S, Kramer, M, Kwan, KK, Kwok, MW, Kwok, T, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JL, Liu, JC, An, FP, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, QY, Chen, SM, Chen, YX, Chen, Y, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Huang, EC, Huang, HX, Huang, XT, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Jetter, S, Ji, XP, Ji, XL, Jiao, JB, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Khan, A, Kohn, S, Kramer, M, Kwan, KK, Kwok, MW, Kwok, T, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JL, and Liu, JC
Published: 2018

20. Measurement of the Electron Antineutrino Oscillation with 1958 Days of Operation at Daya Bay

Author: Adey, D, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Deng, FS, Ding, YY, Diwan, MV, Dolgareva, M, Dwyer, DA, Edwards, WR, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Loh, CW, Lu, C, Lu, HQ, Adey, D, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Deng, FS, Ding, YY, Diwan, MV, Dolgareva, M, Dwyer, DA, Edwards, WR, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Loh, CW, Lu, C, and Lu, HQ
Published: 2018

21. Cosmogenic neutron production at Daya Bay

Author: An, FP, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Jiao, JB, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Khan, A, Koerner, LW, Kohn, S, Kramer, M, Kwok, MW, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Loh, CW, Lu, C, An, FP, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Jiao, JB, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Khan, A, Koerner, LW, Kohn, S, Kramer, M, Kwok, MW, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Loh, CW, and Lu, C
Abstract: Neutrons produced by cosmic ray muons are an important background for underground experiments studying neutrino oscillations, neutrinoless double beta decay, dark matter, and other rare-event signals. A measurement of the neutron yield in the three different experimental halls of the Daya Bay Reactor Neutrino Experiment at varying depth is reported. The neutron yield in Daya Bay's liquid scintillator is measured to be $Y_n=(10.26\pm 0.86)\times 10^{-5}$, $(10.22\pm 0.87)\times 10^{-5}$, and $(17.03\pm 1.22)\times 10^{-5}~\mu^{-1}~$g$^{-1}~$cm$^2$ at depths of 250, 265, and 860 meters-water-equivalent. These results are compared to other measurements and the simulated neutron yield in Fluka and Geant4. A global fit including the Daya Bay measurements yields a power law coefficient of $0.77 \pm 0.03$ for the dependence of the neutron yield on muon energy.
Published: 2018

22. Cosmogenic neutron production at Daya Bay

Author: An, FP, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Jiao, JB, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Khan, A, Koerner, LW, Kohn, S, Kramer, M, Kwok, MW, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Loh, CW, Lu, C, An, FP, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Jiao, JB, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Khan, A, Koerner, LW, Kohn, S, Kramer, M, Kwok, MW, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Loh, CW, and Lu, C
Abstract: Neutrons produced by cosmic ray muons are an important background for underground experiments studying neutrino oscillations, neutrinoless double beta decay, dark matter, and other rare-event signals. A measurement of the neutron yield in the three different experimental halls of the Daya Bay Reactor Neutrino Experiment at varying depth is reported. The neutron yield in Daya Bay's liquid scintillator is measured to be $Y_n=(10.26\pm 0.86)\times 10^{-5}$, $(10.22\pm 0.87)\times 10^{-5}$, and $(17.03\pm 1.22)\times 10^{-5}~\mu^{-1}~$g$^{-1}~$cm$^2$ at depths of 250, 265, and 860 meters-water-equivalent. These results are compared to other measurements and the simulated neutron yield in Fluka and Geant4. A global fit including the Daya Bay measurements yields a power law coefficient of $0.77 \pm 0.03$ for the dependence of the neutron yield on muon energy.
Published: 2018

23. Evolution of the Reactor Antineutrino Flux and Spectrum at Daya Bay

Author: An, FP, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, QY, Chen, SM, Chen, YX, Chen, Y, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Huang, EC, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XP, Ji, XL, Jiao, JB, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Khan, A, Kohn, S, Kramer, M, Kwan, KK, Kwok, MW, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JL, Liu, JC, An, FP, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, QY, Chen, SM, Chen, YX, Chen, Y, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Huang, EC, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XP, Ji, XL, Jiao, JB, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Khan, A, Kohn, S, Kramer, M, Kwan, KK, Kwok, MW, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JL, and Liu, JC
Published: 2017

24. Study of the wave packet treatment of neutrino oscillation at Daya Bay

Author: An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Cen, WR, Chan, YL, Chang, JF, Chang, LC, Chang, Y, Chen, HS, Chen, QY, Chen, SM, Chen, YX, Chen, Y, Cheng, J-H, Cheng, J, Cheng, YP, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Arcos, JD, Deng, ZY, Ding, XF, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guan, MY, Guo, L, Guo, XH, Guo, Z, Hackenburg, RW, Han, R, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, T, Hu, W, Huang, EC, Huang, HX, Huang, XT, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jaffke, P, Jen, KL, Jetter, S, Ji, XP, Ji, XL, Jiao, JB, Johnson, RA, Joshi, J, Kang, L, Kettell, SH, Kohn, S, Kramer, M, Kwan, KK, Kwok, MW, Kwok, T, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, DW, Liu, JL, Liu, JC, Loh, CW, Lu, C, Lu, HQ, Lu, JS, Luk, KB, Lv, Z, Ma, QM, Ma, XY, Ma, XB, Ma, YQ, Malyshkin, Y, Caicedo, DAM, McKeown, RD, Mitchell, I, Mooney, M, Nakajima, Y, Napolitano, J, Naumov, D, Naumova, E, Ngai, HY, Ning, Z, Ochoa-Ricoux, JP, Olshevskiy, A, Pan, H-R, Park, J, Patton, S, Pec, V, Peng, JC, Pinsky, L, Pun, CSJ, Qi, FZ, Qi, M, Qian, X, Raper, N, Ren, J, Rosero, R, Roskovec, B, Ruan, XC, Steiner, H, Sun, GX, Sun, JL, Tang, W, Taychenachev, D, Treskov, K, Tsang, KV, Tull, CE, Viaux, N, Viren, B, Vorobel, V, Wang, CH, Wang, M, Wang, NY, Wang, RG, Wang, W, Wang, X, Wang, YF, Wang, Z, Wang, ZM, Wei, HY, Wen, LJ, Whisnant, K, White, CG, Whitehead, L, Wise, T, Wong, HLH, Wong, SCF, Worcester, E, Wu, C-H, Wu, Q, Wu, WJ, Xia, DM, Xia, JK, Xing, ZZ, Xu, JY, Xu, JL, Xu, Y, Xue, T, Yang, CG, Yang, H, Yang, L, Yang, MS, Yang, MT, Ye, M, Ye, Z, Yeh, M, Young, BL, Yu, ZY, Zeng, S, Zhan, L, Zhang, C, Zhang, HH, Zhang, JW, Zhang, QM, Zhang, XT, Zhang, YM, Zhang, YX, Zhang, ZJ, Zhang, ZY, Zhang, ZP, Zhao, J, Zhao, QW, Zhao, YB, Zhong, WL, Zhou, L, Zhou, N, Zhuang, HL, Zou, JH, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Cen, WR, Chan, YL, Chang, JF, Chang, LC, Chang, Y, Chen, HS, Chen, QY, Chen, SM, Chen, YX, Chen, Y, Cheng, J-H, Cheng, J, Cheng, YP, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Arcos, JD, Deng, ZY, Ding, XF, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guan, MY, Guo, L, Guo, XH, Guo, Z, Hackenburg, RW, Han, R, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, T, Hu, W, Huang, EC, Huang, HX, Huang, XT, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jaffke, P, Jen, KL, Jetter, S, Ji, XP, Ji, XL, Jiao, JB, Johnson, RA, Joshi, J, Kang, L, Kettell, SH, Kohn, S, Kramer, M, Kwan, KK, Kwok, MW, Kwok, T, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, DW, Liu, JL, Liu, JC, Loh, CW, Lu, C, Lu, HQ, Lu, JS, Luk, KB, Lv, Z, Ma, QM, Ma, XY, Ma, XB, Ma, YQ, Malyshkin, Y, Caicedo, DAM, McKeown, RD, Mitchell, I, Mooney, M, Nakajima, Y, Napolitano, J, Naumov, D, Naumova, E, Ngai, HY, Ning, Z, Ochoa-Ricoux, JP, Olshevskiy, A, Pan, H-R, Park, J, Patton, S, Pec, V, Peng, JC, Pinsky, L, Pun, CSJ, Qi, FZ, Qi, M, Qian, X, Raper, N, Ren, J, Rosero, R, Roskovec, B, Ruan, XC, Steiner, H, Sun, GX, Sun, JL, Tang, W, Taychenachev, D, Treskov, K, Tsang, KV, Tull, CE, Viaux, N, Viren, B, Vorobel, V, Wang, CH, Wang, M, Wang, NY, Wang, RG, Wang, W, Wang, X, Wang, YF, Wang, Z, Wang, ZM, Wei, HY, Wen, LJ, Whisnant, K, White, CG, Whitehead, L, Wise, T, Wong, HLH, Wong, SCF, Worcester, E, Wu, C-H, Wu, Q, Wu, WJ, Xia, DM, Xia, JK, Xing, ZZ, Xu, JY, Xu, JL, Xu, Y, Xue, T, Yang, CG, Yang, H, Yang, L, Yang, MS, Yang, MT, Ye, M, Ye, Z, Yeh, M, Young, BL, Yu, ZY, Zeng, S, Zhan, L, Zhang, C, Zhang, HH, Zhang, JW, Zhang, QM, Zhang, XT, Zhang, YM, Zhang, YX, Zhang, ZJ, Zhang, ZY, Zhang, ZP, Zhao, J, Zhao, QW, Zhao, YB, Zhong, WL, Zhou, L, Zhou, N, Zhuang, HL, and Zou, JH
Abstract: The disappearance of reactor $\bar{\nu}_e$ observed by the Daya Bay experiment is examined in the framework of a model in which the neutrino is described by a wave packet with a relative intrinsic momentum dispersion $\sigma_\text{rel}$. Three pairs of nuclear reactors and eight antineutrino detectors, each with good energy resolution, distributed among three experimental halls, supply a high-statistics sample of $\bar{\nu}_e$ acquired at nine different baselines. This provides a unique platform to test the effects which arise from the wave packet treatment of neutrino oscillation. The modified survival probability formula was used to fit Daya Bay data, providing the first experimental limits: $2.38 \cdot 10^{-17} < \sigma_{\rm rel} < 0.23$. Treating the dimensions of the reactor cores and detectors as constraints, the limits are improved: $10^{-14} \lesssim \sigma_{\rm rel} < 0.23$, and an upper limit of $\sigma_{\rm rel} <0.20$ is obtained. All limits correspond to a 95\% C.L. Furthermore, the effect due to the wave packet nature of neutrino oscillation is found to be insignificant for reactor antineutrinos detected by the Daya Bay experiment thus ensuring an unbiased measurement of the oscillation parameters $\sin^22\theta_{13}$ and $\Delta m^2_{32}$ within the plane wave model.
Published: 2017

25. The effect of goal-directed therapy on mortality in patients with sepsis - earlier is better: a meta-analysis of randomized controlled trials

Author: Gu, WJ, Wang, F, Bakker, Jan, Tang, L, Liu, JC, Gu, WJ, Wang, F, Bakker, Jan, Tang, L, and Liu, JC
Abstract: Introduction: The Surviving Sepsis Campaign guidelines recommend goal-directed therapy (GDT) for the early resuscitation of patients with sepsis. However, the findings of the ProCESS (Protocolized Care for Early Septic Shock) trial showed no benefit from GDT for reducing mortality rates in early septic shock. We performed a meta-analysis to integrate these findings with existing literature on this topic and evaluate the effect of GDT on mortality due to sepsis. Methods: We searched the PubMed, Embase and CENTRAL (Cochrane Central Register of Controlled Trials) databases and reference lists of extracted articles. Randomized controlled trials comparing GDT with standard therapy or usual care in patients with sepsis were included. The prespecified primary outcome was overall mortality. Results: In total, 13 trials involving 2,525 adult patients were included. GDT significantly reduced overall mortality in the random-effects model (relative risk (RR), 0.83; 95% confidence interval (CI), 0.71 to 0.96; P = 0.01; I-2 = 56%). Predefined subgroup analysis according to the timing of GDT for resuscitation suggested that a mortality benefit was seen only in the subgroup of early GDT within the first 6 hours (seven trials; RR, 0.77; 95% CI, 0.67 to 0.89; P = 0.0004; I-2 = 40%), but not in the subgroup with late or unclear timing of GDT (six trials; RR, 0.92; 95% CI, 0.69 to 1.24; P = 0.59; I-2 = 56%). GDT was significantly associated with the use of dobutamine (five trials; RR, 2.71; 95% CI, 1.20 to 6.10; P = 0.02). Conclusions: The results of the present meta-analysis suggest that GDT significantly reduces overall mortality in patients with sepsis, especially when initiated early. However, owing to the variable quality of the studies, strong and definitive recommendations cannot be made.
Published: 2014

26. Hydrogen bonding effects on the surface structure and photoelectrochemical properties of nanostructured SnO2 electrodes modified with porphyrin and fullerene composites

Author: Imahori, H, Liu, JC, Hotta, H, Kira, A, Umeyama, T, Matano, Y, Li, GF, Ye, S, Isosomppi, M, Tkachenko, NV, Lemmetyinen, H, Imahori, H, Liu, JC, Hotta, H, Kira, A, Umeyama, T, Matano, Y, Li, GF, Ye, S, Isosomppi, M, Tkachenko, NV, and Lemmetyinen, H
Published: 2005

27. Hydrogen bonding effects on the surface structure and photoelectrochemical properties of nanostructured SnO2 electrodes modified with porphyrin and fullerene composites

Author: 90243261, 30378806, Imahori, H, Liu, JC, Hotta, H, Kira, A, Umeyama, T, Matano, Y, Li, GF, Ye, S, Isosomppi, M, Tkachenko, NV, Lemmetyinen, H, 90243261, 30378806, Imahori, H, Liu, JC, Hotta, H, Kira, A, Umeyama, T, Matano, Y, Li, GF, Ye, S, Isosomppi, M, Tkachenko, NV, and Lemmetyinen, H
Published: 2005

28. Hydrogen bonding effect on photocurrent generation in porphyrin fullerene photoelectrochemical devices

Author: Imahori, H, Liu, JC, Hosomizu, K, Sato, T, Mori, Y, Hotta, H, Matano, Y, Araki, Y, Ito, O, Maruyama, N, Fujita, S, Imahori, H, Liu, JC, Hosomizu, K, Sato, T, Mori, Y, Hotta, H, Matano, Y, Araki, Y, Ito, O, Maruyama, N, and Fujita, S
Published: 2004

29. Hydrogen bonding effect on photocurrent generation in porphyrin fullerene photoelectrochemical devices

Author: 90243261, 20135536, Imahori, H, Liu, JC, Hosomizu, K, Sato, T, Mori, Y, Hotta, H, Matano, Y, Araki, Y, Ito, O, Maruyama, N, Fujita, S, 90243261, 20135536, Imahori, H, Liu, JC, Hosomizu, K, Sato, T, Mori, Y, Hotta, H, Matano, Y, Araki, Y, Ito, O, Maruyama, N, and Fujita, S
Published: 2004

30. On the use of sender adaptation to improve stability and fairness for layered video multicast

Author: Wu, P., Xu, J., Chen, F., Liu, JC, Zhang, JH, Li, B., Wu, P., Xu, J., Chen, F., Liu, JC, Zhang, JH, and Li, B.
Abstract: Layered multicast has been shown as a promising technique for distributing a video program to a potentially large number of heterogeneous receivers. While several layered multicast approaches have been proposed, prior work has almost exclusively focused on improving the perceived video quality in terms of PSNR value or/and the fairness among different receivers. In this paper, we first argue that stability is another major index for the video playback quality; in an extreme case even with the best possible achievable PSNR value, the frequent switching between different layers still can lead to significant quality degradation. We then introduce an end-to-end adaptation framework that improves the stability and fairness for receivers by employing a dynamic layer rate allocation scheme on the sender's side. Specifically, we propose a new metric, called Stability-aware Fairness Index (SFI), which can capture both the stability as well as fairness. We then formulate the optimal layer rate allocation problem with the objective of minimizing the expected SFI for all the receivers in a multicast session, and derive an efficient algorithm to solve the problem. Simulation results demonstrate that our scheme can significantly improve the degree of stability and fairness, thus leading to better video playback quality.
Published: 2003

31. On the use of sender adaptation to improve stability and fairness for layered video multicast

Author: Wu, P., Xu, J., Chen, F., Liu, JC, Zhang, JH, Li, B., Wu, P., Xu, J., Chen, F., Liu, JC, Zhang, JH, and Li, B.
Abstract: Layered multicast has been shown as a promising technique for distributing a video program to a potentially large number of heterogeneous receivers. While several layered multicast approaches have been proposed, prior work has almost exclusively focused on improving the perceived video quality in terms of PSNR value or/and the fairness among different receivers. In this paper, we first argue that stability is another major index for the video playback quality; in an extreme case even with the best possible achievable PSNR value, the frequent switching between different layers still can lead to significant quality degradation. We then introduce an end-to-end adaptation framework that improves the stability and fairness for receivers by employing a dynamic layer rate allocation scheme on the sender's side. Specifically, we propose a new metric, called Stability-aware Fairness Index (SFI), which can capture both the stability as well as fairness. We then formulate the optimal layer rate allocation problem with the objective of minimizing the expected SFI for all the receivers in a multicast session, and derive an efficient algorithm to solve the problem. Simulation results demonstrate that our scheme can significantly improve the degree of stability and fairness, thus leading to better video playback quality.
Published: 2003

32. On the use of sender adaptation to improve stability and fairness for layered video multicast

Author: Wu, P., Xu, J., Chen, F., Liu, JC, Zhang, JH, Li, B., Wu, P., Xu, J., Chen, F., Liu, JC, Zhang, JH, and Li, B.
Abstract: Layered multicast has been shown as a promising technique for distributing a video program to a potentially large number of heterogeneous receivers. While several layered multicast approaches have been proposed, prior work has almost exclusively focused on improving the perceived video quality in terms of PSNR value or/and the fairness among different receivers. In this paper, we first argue that stability is another major index for the video playback quality; in an extreme case even with the best possible achievable PSNR value, the frequent switching between different layers still can lead to significant quality degradation. We then introduce an end-to-end adaptation framework that improves the stability and fairness for receivers by employing a dynamic layer rate allocation scheme on the sender's side. Specifically, we propose a new metric, called Stability-aware Fairness Index (SFI), which can capture both the stability as well as fairness. We then formulate the optimal layer rate allocation problem with the objective of minimizing the expected SFI for all the receivers in a multicast session, and derive an efficient algorithm to solve the problem. Simulation results demonstrate that our scheme can significantly improve the degree of stability and fairness, thus leading to better video playback quality.
Published: 2003

33. Optimal stream replication for video simulcasting

Author: Liu, JC, Li, B., Liu, JC, and Li, B.
Abstract: Video simulcasting enables a sender to generate multiple streams for the same video program but at different rates, targeting receivers of different capacities. Each stream can then be distributed to the target receivers via broadcast or multicast channels. One of the critical issues in video simulcasting is to strike a balance between bandwidth consumption and the user satisfaction. This is because stream replication introduces redundancy which can potentially lead to excessive use of the bandwidth, while on the other hand there usually is a mismatch between a receiver's capacity and the limited choice of the stream bandwidths. We present a formal study on the above issue, which we refer as the optimal stream replication problem. We first formulate the optimal replication problem for a given session bandwidth budget and number of streams, with the objective of minimizing the expected mismatch for all the receivers in the session. A proper choice for the number of the replicated streams is critical in the overall bandwidth provisioning. Though it has been largely assumed that the number of streams is predetermined by service providers, we find that dynamic adjustment of stream number is possible in advanced video stream systems, such as the MPEG-4 Delivery Multimedia Integration Framework (DIMF), and systems employing fast video transcoding algorithms. Therefore, we also study the case of a flexible stream number, with the objective of jointly optimize the stream number and bandwidth allocated to each stream. © 2002 IEEE.
Published: 2002

34. Wavelength converter placement under a dynamic RWA algorithm in wavelength-routed all-optical networks

Author: Chu, XW, Li, B., Liu, JC, Li, LZ, Chu, XW, Li, B., Liu, JC, and Li, LZ
Abstract: Sparse wavelength conversion and an appropriate routing and wavelength assignment (RWA) algorithm are two key factors in improving the blocking performance in wavelength-routed all-optical networks. It has been shown that the optimal placement of a limited number of wavelength converters in an arbitrary mesh network is an NP complete problem. There have been various heuristic algorithms proposed in the literature, in which most of them assume that a static routing and random wavelength assignment RWA algorithm is employed. However, the existing works show that dynamic RWA algorithms can achieve significantly better performance. Our study in this paper further demonstrates that the wavelength converter placement and RWA algorithms are closely related in that a well designed wavelength converter placement mechanism for a particular RWA algorithm might not work well with a different RWA algorithm. The objective of this paper is to investigate the wavelength converter placement under dynamic routing algorithms. Specifically, we propose a heuristic algorithm called Weighted Maximum Segment Length (WMSL) algorithm for limited wavelength converter placement for arbitrary mesh networks under a dynamic RWA algorithm adopting least-loaded routing and first-fit wavelength assignment algorithm. The objective is to minimize the average blocking probability. Extensive simulation studies have been carried out over three typical mesh networks, including the 14-node NSFNET, 19-node EON and 38-node CTNET. We observe that the proposed WMSL algorithm not only outperforms existing wavelength converter placement algorithms by a large margin, but it also can achieve almost the same performance comparing with full wavelength conversion under the same RWA algorithm.
Published: 2002

35. Fine-grained scalable video broadcasting over cellular networks

Author: Liu, JC, Li, B., Cao, XR, Liu, JC, Li, B., and Cao, XR
Abstract: In layered video broadcasting, if adaptation is only performed by receivers, significant mismatches between a receiver's expected bandwidth and the actually delivered bandwidth could occur as the adaptation unit is a coarse-grained layer. This paper shows that fine-grained sender adaptation, as a complement to receiver adaptation, can significant decrease these mismatches. A formal study on optimal session and layer bandwidth allocations for sender adaptation in a broadband cellular network is carried out. The most fundamental issues associated with layered video broadcasting including system utility and the overhead of layering are considered. A polynomial-time algorithm is derived for optimal allocation. Experimental results show that it can significantly improves the system utility comparing to static allocation algorithms.
Published: 2002

36. Wavelength converter placement under a dynamic RWA algorithm in wavelength-routed all-optical networks

Author: Chu, XW, Li, B., Liu, JC, Li, LZ, Chu, XW, Li, B., Liu, JC, and Li, LZ
Abstract: Sparse wavelength conversion and an appropriate routing and wavelength assignment (RWA) algorithm are two key factors in improving the blocking performance in wavelength-routed all-optical networks. It has been shown that the optimal placement of a limited number of wavelength converters in an arbitrary mesh network is an NP complete problem. There have been various heuristic algorithms proposed in the literature, in which most of them assume that a static routing and random wavelength assignment RWA algorithm is employed. However, the existing works show that dynamic RWA algorithms can achieve significantly better performance. Our study in this paper further demonstrates that the wavelength converter placement and RWA algorithms are closely related in that a well designed wavelength converter placement mechanism for a particular RWA algorithm might not work well with a different RWA algorithm. The objective of this paper is to investigate the wavelength converter placement under dynamic routing algorithms. Specifically, we propose a heuristic algorithm called Weighted Maximum Segment Length (WMSL) algorithm for limited wavelength converter placement for arbitrary mesh networks under a dynamic RWA algorithm adopting least-loaded routing and first-fit wavelength assignment algorithm. The objective is to minimize the average blocking probability. Extensive simulation studies have been carried out over three typical mesh networks, including the 14-node NSFNET, 19-node EON and 38-node CTNET. We observe that the proposed WMSL algorithm not only outperforms existing wavelength converter placement algorithms by a large margin, but it also can achieve almost the same performance comparing with full wavelength conversion under the same RWA algorithm.
Published: 2002

37. Optimal stream replication for video simulcasting

Author: Liu, JC, Li, B., Liu, JC, and Li, B.
Abstract: Video simulcasting enables a sender to generate multiple streams for the same video program but at different rates, targeting receivers of different capacities. Each stream can then be distributed to the target receivers via broadcast or multicast channels. One of the critical issues in video simulcasting is to strike a balance between bandwidth consumption and the user satisfaction. This is because stream replication introduces redundancy which can potentially lead to excessive use of the bandwidth, while on the other hand there usually is a mismatch between a receiver's capacity and the limited choice of the stream bandwidths. We present a formal study on the above issue, which we refer as the optimal stream replication problem. We first formulate the optimal replication problem for a given session bandwidth budget and number of streams, with the objective of minimizing the expected mismatch for all the receivers in the session. A proper choice for the number of the replicated streams is critical in the overall bandwidth provisioning. Though it has been largely assumed that the number of streams is predetermined by service providers, we find that dynamic adjustment of stream number is possible in advanced video stream systems, such as the MPEG-4 Delivery Multimedia Integration Framework (DIMF), and systems employing fast video transcoding algorithms. Therefore, we also study the case of a flexible stream number, with the objective of jointly optimize the stream number and bandwidth allocated to each stream. © 2002 IEEE.
Published: 2002

38. Fine-grained scalable video broadcasting over cellular networks

Author: Liu, JC, Li, B., Cao, XR, Liu, JC, Li, B., and Cao, XR
Abstract: In layered video broadcasting, if adaptation is only performed by receivers, significant mismatches between a receiver's expected bandwidth and the actually delivered bandwidth could occur as the adaptation unit is a coarse-grained layer. This paper shows that fine-grained sender adaptation, as a complement to receiver adaptation, can significant decrease these mismatches. A formal study on optimal session and layer bandwidth allocations for sender adaptation in a broadband cellular network is carried out. The most fundamental issues associated with layered video broadcasting including system utility and the overhead of layering are considered. A polynomial-time algorithm is derived for optimal allocation. Experimental results show that it can significantly improves the system utility comparing to static allocation algorithms.
Published: 2002

39. Wavelength converter placement under a dynamic RWA algorithm in wavelength-routed all-optical networks

Author: Chu, XW, Li, B., Liu, JC, Li, LZ, Chu, XW, Li, B., Liu, JC, and Li, LZ
Abstract: Sparse wavelength conversion and an appropriate routing and wavelength assignment (RWA) algorithm are two key factors in improving the blocking performance in wavelength-routed all-optical networks. It has been shown that the optimal placement of a limited number of wavelength converters in an arbitrary mesh network is an NP complete problem. There have been various heuristic algorithms proposed in the literature, in which most of them assume that a static routing and random wavelength assignment RWA algorithm is employed. However, the existing works show that dynamic RWA algorithms can achieve significantly better performance. Our study in this paper further demonstrates that the wavelength converter placement and RWA algorithms are closely related in that a well designed wavelength converter placement mechanism for a particular RWA algorithm might not work well with a different RWA algorithm. The objective of this paper is to investigate the wavelength converter placement under dynamic routing algorithms. Specifically, we propose a heuristic algorithm called Weighted Maximum Segment Length (WMSL) algorithm for limited wavelength converter placement for arbitrary mesh networks under a dynamic RWA algorithm adopting least-loaded routing and first-fit wavelength assignment algorithm. The objective is to minimize the average blocking probability. Extensive simulation studies have been carried out over three typical mesh networks, including the 14-node NSFNET, 19-node EON and 38-node CTNET. We observe that the proposed WMSL algorithm not only outperforms existing wavelength converter placement algorithms by a large margin, but it also can achieve almost the same performance comparing with full wavelength conversion under the same RWA algorithm.
Published: 2002

40. Optimal stream replication for video simulcasting

Author: Liu, JC, Li, B., Liu, JC, and Li, B.
Abstract: Video simulcasting enables a sender to generate multiple streams for the same video program but at different rates, targeting receivers of different capacities. Each stream can then be distributed to the target receivers via broadcast or multicast channels. One of the critical issues in video simulcasting is to strike a balance between bandwidth consumption and the user satisfaction. This is because stream replication introduces redundancy which can potentially lead to excessive use of the bandwidth, while on the other hand there usually is a mismatch between a receiver's capacity and the limited choice of the stream bandwidths. We present a formal study on the above issue, which we refer as the optimal stream replication problem. We first formulate the optimal replication problem for a given session bandwidth budget and number of streams, with the objective of minimizing the expected mismatch for all the receivers in the session. A proper choice for the number of the replicated streams is critical in the overall bandwidth provisioning. Though it has been largely assumed that the number of streams is predetermined by service providers, we find that dynamic adjustment of stream number is possible in advanced video stream systems, such as the MPEG-4 Delivery Multimedia Integration Framework (DIMF), and systems employing fast video transcoding algorithms. Therefore, we also study the case of a flexible stream number, with the objective of jointly optimize the stream number and bandwidth allocated to each stream. © 2002 IEEE.
Published: 2002

41. Fine-grained scalable video broadcasting over cellular networks

Author: Liu, JC, Li, B., Cao, XR, Liu, JC, Li, B., and Cao, XR
Abstract: In layered video broadcasting, if adaptation is only performed by receivers, significant mismatches between a receiver's expected bandwidth and the actually delivered bandwidth could occur as the adaptation unit is a coarse-grained layer. This paper shows that fine-grained sender adaptation, as a complement to receiver adaptation, can significant decrease these mismatches. A formal study on optimal session and layer bandwidth allocations for sender adaptation in a broadband cellular network is carried out. The most fundamental issues associated with layered video broadcasting including system utility and the overhead of layering are considered. A polynomial-time algorithm is derived for optimal allocation. Experimental results show that it can significantly improves the system utility comparing to static allocation algorithms.
Published: 2002

42. On the optimal rate allocation for layered video multicast

Author: Liu, JC, Cheung, KM, Li, B., Zhang, YQ, Liu, JC, Cheung, KM, Li, B., and Zhang, YQ
Abstract: Layered transmission has been recommended as one of the solutions to the inherent heterogeneity problem of video multicast over the Internet. Unlike traditional sender-driven adaptation schemes, current layered multicast protocols usually use distributed control algorithms which perform adaptation on the receiver side. With the assumption that the layer rates are fixed, the control granularity of such protocols is considerably coarse and there is usually a mismatch between the fixed rates and the requirements of the receivers. In this paper, we argue that dynamically allocating layer rates by the sender can minimize this mismatch. We study the optimization criteria for layer rate allocation, and propose a novel metric, Application-aware Fairness Index, to fairly reflect the degree of the receiver's satisfaction. We then formulate the problem of optimal allocation for heterogeneous receivers, and derive an efficient algorithm for solving it. The algorithm is highly scalable and outperforms the traditional static allocation schemes by 10% or more.
Published: 2001

43. On the optimal rate allocation for layered video multicast

Author: Liu, JC, Cheung, KM, Li, B., Zhang, YQ, Liu, JC, Cheung, KM, Li, B., and Zhang, YQ
Abstract: Layered transmission has been recommended as one of the solutions to the inherent heterogeneity problem of video multicast over the Internet. Unlike traditional sender-driven adaptation schemes, current layered multicast protocols usually use distributed control algorithms which perform adaptation on the receiver side. With the assumption that the layer rates are fixed, the control granularity of such protocols is considerably coarse and there is usually a mismatch between the fixed rates and the requirements of the receivers. In this paper, we argue that dynamically allocating layer rates by the sender can minimize this mismatch. We study the optimization criteria for layer rate allocation, and propose a novel metric, Application-aware Fairness Index, to fairly reflect the degree of the receiver's satisfaction. We then formulate the problem of optimal allocation for heterogeneous receivers, and derive an efficient algorithm for solving it. The algorithm is highly scalable and outperforms the traditional static allocation schemes by 10% or more.
Published: 2001

44. On the optimal rate allocation for layered video multicast

Author: Liu, JC, Cheung, KM, Li, B., Zhang, YQ, Liu, JC, Cheung, KM, Li, B., and Zhang, YQ
Abstract: Layered transmission has been recommended as one of the solutions to the inherent heterogeneity problem of video multicast over the Internet. Unlike traditional sender-driven adaptation schemes, current layered multicast protocols usually use distributed control algorithms which perform adaptation on the receiver side. With the assumption that the layer rates are fixed, the control granularity of such protocols is considerably coarse and there is usually a mismatch between the fixed rates and the requirements of the receivers. In this paper, we argue that dynamically allocating layer rates by the sender can minimize this mismatch. We study the optimization criteria for layer rate allocation, and propose a novel metric, Application-aware Fairness Index, to fairly reflect the degree of the receiver's satisfaction. We then formulate the problem of optimal allocation for heterogeneous receivers, and derive an efficient algorithm for solving it. The algorithm is highly scalable and outperforms the traditional static allocation schemes by 10% or more.
Published: 2001

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