Study of the process $e^+ e^- \to p \bar p$ via initial state radiation at BESIII
BESIII Collaboration: M. Ablikim, M. N. Achasov, P. Adlarson, S., Ahmed, M. Albrecht, M. Alekseev, A. Amoroso, F. F. An, Q. An, Y. Bai, O., Bakina, R. Baldini Ferroli, I. Balossino Balossino, Y. Ban, K. Begzsuren, J., V. Bennett, N. Berger, M. Bertani, D. Bettoni, F. Bianchi

TL;DR
This paper measures the cross section and form factors of the process $e^+ e^- o p ar p$ using initial state radiation at BESIII, providing detailed insights into proton structure in the 2.0-3.8 GeV/$c^2$ range.
Contribution
It presents the first detailed measurement of the proton form factor ratio and cross section in this energy range using initial state radiation at BESIII.
Findings
Proton effective form factor was determined across the mass range.
The proton form factor ratio was measured in specific mass intervals.
The cross section for $e^+ e^- o p ar p$ was precisely measured.
Abstract
The Born cross section for the process is measured using the initial state radiation technique with an undetected photon. This analysis is based on datasets corresponding to an integrated luminosity of 7.5 fb, collected with the BESIII detector at the BEPCII collider at center of mass energies between 3.773 and 4.600 GeV. The Born cross section for the process and the proton effective form factor are determined in the invariant mass range between 2.0 and 3.8 GeV/ divided into 30 intervals. The proton form factor ratio () is measured in 3 intervals of the invariant mass between 2.0 and 3.0 GeV/.
| [GeV] | Integrated luminosity [pb-1] |
|---|---|
| 3.773 | 2931.8 0.2 13.8 |
| 4.008 | 481.96 0.01 4.68 |
| 4.226 | 1053.9 0.1 7.0 |
| 4.258 | 825.67 0.13 8.01 |
| 4.358 | 539.84 0.10 5.24 |
| 4.416 | 1041.3 0.1 6.9 |
| 4.600 | 585.4 0.1 3.9 |
| [GeV] | ||
|---|---|---|
| 3.773 | 2046 46 | |
| 4.008 | 266 17 | 43.9 7.3 |
| 4.226 | 391 20 | 64.1 9.4 |
| 4.258 | 340 19 | 32.0 7.3 |
| 4.358 | 179 14 | 24.7 5.2 |
| 4.416 | 317 18 | 43.8 6.6 |
| 4.600 | 140 12 | 13.0 3.3 |
| [GeV/] | [pb-1] | |||
|---|---|---|---|---|
| 2.000 - 2.025 | 2.39 | 5.0 1.7 | 0.92 0.80 | 218 15 |
| 2.025 - 2.050 | 2.59 | 4.2 1.7 | 0.77 0.45 | 343 19 |
| 2.050 - 2.075 | 2.65 | 7.2 2.0 | 2.18 0.87 | 380 20 |
| 2.075 - 2.100 | 2.72 | 4.6 1.6 | 1.52 0.77 | 467 22 |
| 2.100 - 2.125 | 2.79 | 4.6 1.5 | 2.6 1.1 | 456 22 |
| 2.125 - 2.150 | 2.86 | 5.2 1.5 | 0.83 0.57 | 491 22 |
| 2.150 - 2.175 | 2.93 | 7.8 2.0 | 3.1 1.2 | 455 22 |
| 2.175 - 2.200 | 3.00 | 6.0 1.6 | 6.1 2.1 | 409 21 |
| 2.200 - 2.225 | 3.08 | 8.9 2.0 | 4.4 1.4 | 338 19 |
| 2.225 - 2.250 | 3.16 | 5.6 1.6 | 4.1 1.6 | 300 18 |
| 2.250 - 2.275 | 3.24 | 4.9 1.9 | 2.7 1.2 | 227 15 |
| 2.275 - 2.300 | 3.32 | 7.5 2.3 | 3.4 1.3 | 199 15 |
| 2.300 - 2.350 | 6.91 | 9.0 2.0 | 3.8 1.4 | 303 18 |
| 2.350 - 2.400 | 7.28 | 16.7 3.5 | 4.1 1.8 | 279 18 |
| 2.400 - 2.450 | 7.69 | 6.1 1.4 | 3.8 1.5 | 322 18 |
| 2.450 - 2.500 | 8.13 | 5.5 1.3 | 4.8 2.1 | 281 17 |
| 2.500 - 2.550 | 8.60 | 5.4 1.1 | 6.6 2.2 | 204 15 |
| 2.550 - 2.600 | 9.12 | 2.68 0.70 | 5.7 2.1 | 193 14 |
| 2.600 - 2.650 | 9.68 | 5.6 1.5 | 3.3 1.6 | 146 13 |
| 2.650 - 2.700 | 10.30 | 3.7 1.0 | 2.3 1.3 | 123 11 |
| 2.700 - 2.750 | 10.97 | 4.5 1.4 | 1.4 1.1 | 121 11 |
| 2.750 - 2.800 | 11.72 | 6.0 1.6 | 0.00 0.10 | 115 11 |
| 2.800 - 2.850 | 12.54 | 4.5 1.3 | 0.46 0.64 | 98 10 |
| 2.850 - 2.900 | 13.46 | 6.0 1.8 | 1.3 1.2 | 100 11 |
| 2.900 - 2.950 | 6.44 | 2.03 0.43 | 2.2 1.5 | 36.8 6.6 |
| 2.950 - 3.000 | 6.84 | 1.05 0.38 | 0 0 | 40.0 6.4 |
| 3.000 - 3.200 | 32.23 | 3.54 0.61 | 0 0 | 145 15 |
| 3.200 - 3.400 | 42.91 | 4.10 0.63 | 0 0 | 66.9 8.4 |
| 3.400 - 3.600 | 60.36 | 2.51 0.45 | 0 0 | 52.5 7.4 |
| 3.600 - 3.800 | 87.18 | 3.24 0.47 | 0 0 | 41 12 |
| [GeV/] | [pb] | |
|---|---|---|
| 2.000 - 2.025 | 797 56 75 | 0.263 0.009 0.012 |
| 2.025 - 2.050 | 833 46 69 | 0.264 0.007 0.011 |
| 2.050 - 2.075 | 723 38 56 | 0.242 0.006 0.009 |
| 2.075 - 2.100 | 749 35 46 | 0.243 0.006 0.007 |
| 2.100 - 2.125 | 654 31 47 | 0.226 0.005 0.008 |
| 2.125 - 2.150 | 637 29 40 | 0.221 0.005 0.007 |
| 2.150 - 2.175 | 557 27 39 | 0.206 0.005 0.007 |
| 2.175 - 2.200 | 467 24 31 | 0.189 0.005 0.006 |
| 2.200 - 2.225 | 371 21 27 | 0.168 0.005 0.006 |
| 2.225 - 2.250 | 310 19 22 | 0.154 0.005 0.005 |
| 2.250 - 2.275 | 225 16 16 | 0.131 0.005 0.005 |
| 2.275 - 2.300 | 192 14 14 | 0.121 0.005 0.005 |
| 2.300 - 2.350 | 136.1 8.1 7.9 | 0.103 0.003 0.003 |
| 2.350 - 2.400 | 116.3 7.5 9.5 | 0.096 0.003 0.004 |
| 2.400 - 2.450 | 126.1 7.2 6.3 | 0.101 0.003 0.003 |
| 2.450 - 2.500 | 100.1 6.2 6.7 | 0.091 0.003 0.003 |
| 2.500 - 2.550 | 67.4 5.0 4.7 | 0.075 0.003 0.003 |
| 2.550 - 2.600 | 61.1 4.6 3.7 | 0.072 0.003 0.002 |
| 2.600 - 2.650 | 41.0 3.7 2.9 | 0.060 0.003 0.002 |
| 2.650 - 2.700 | 33.6 3.2 2.3 | 0.055 0.003 0.002 |
| 2.700 - 2.750 | 30.7 3.0 3.0 | 0.053 0.003 0.003 |
| 2.750 - 2.800 | 26.8 2.7 2.4 | 0.051 0.003 0.002 |
| 2.800 - 2.850 | 21.6 2.3 2.3 | 0.046 0.002 0.002 |
| 2.850 - 2.900 | 20.4 2.2 1.8 | 0.045 0.002 0.002 |
| 2.900 - 2.950 | 10.2 2.2 1.6 | 0.033 0.004 0.002 |
| 2.950 - 3.000 | 14.1 2.4 1.1 | 0.039 0.003 0.002 |
| 3.000 - 3.200 | 11.1 1.2 1.2 | 0.036 0.002 0.002 |
| 3.200 - 3.400 | 3.59 0.48 0.44 | 0.021 0.001 0.001 |
| 3.400 - 3.600 | 2.18 0.31 0.24 | 0.018 0.001 0.001 |
| 3.600 - 3.800 | 0.64 0.25 0.08 | 0.010 0.002 0.001 |
| [GeV/] | Fitting range () | |
|---|---|---|
| 2.0 - 2.3 | [-0.6,0.6] | |
| 2.3 - 2.6 | [-0.8,0.8] | |
| 2.6 - 3.0 | [-0.8,0.8] |
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Study of the process via initial state radiation at BESIII
M. Ablikim1, M. N. Achasov10,d, P. Adlarson59, S. Ahmed15, M. Albrecht4, M. Alekseev58A,58C, A. Amoroso58A,58C, F. F. An1, Q. An55,43, Y. Bai42, O. Bakina27, R. Baldini Ferroli23A, I. Balossino Balossino24A, Y. Ban35, K. Begzsuren25, J. V. Bennett5, N. Berger26, M. Bertani23A, D. Bettoni24A, F. Bianchi58A,58C, J Biernat59, J. Bloms52, I. Boyko27, R. A. Briere5, H. Cai60, X. Cai1,43, A. Calcaterra23A, G. F. Cao1,47, N. Cao1,47, S. A. Cetin46B, J. Chai58C, J. F. Chang1,43, W. L. Chang1,47, G. Chelkov27,b,c, D. Y. Chen6, G. Chen1, H. S. Chen1,47, J. C. Chen1, M. L. Chen1,43, S. J. Chen33, Y. B. Chen1,43, W. Cheng58C, G. Cibinetto24A, F. Cossio58C, X. F. Cui34, H. L. Dai1,43, J. P. Dai38,h, X. C. Dai1,47, A. Dbeyssi15, D. Dedovich27, Z. Y. Deng1, A. Denig26, I. Denysenko27, M. Destefanis58A,58C, F. De Mori58A,58C, Y. Ding31, C. Dong34, J. Dong1,43, L. Y. Dong1,47, M. Y. Dong1,43,47, Z. L. Dou33, S. X. Du63, J. Z. Fan45, J. Fang1,43, S. S. Fang1,47, Y. Fang1, R. Farinelli24A,24B, L. Fava58B,58C, F. Feldbauer4, G. Felici23A, C. Q. Feng55,43, M. Fritsch4, C. D. Fu1, Y. Fu1, Q. Gao1, X. L. Gao55,43, Y. Gao45, Y. Gao56, Y. G. Gao6, Z. Gao55,43, B. Garillon26, I. Garzia24A, E. M. Gersabeck50, A. Gilman51, K. Goetzen11, L. Gong34, W. X. Gong1,43, W. Gradl26, M. Greco58A,58C, L. M. Gu33, M. H. Gu1,43, S. Gu2, Y. T. Gu13, A. Q. Guo22, L. B. Guo32, R. P. Guo36, Y. P. Guo26, A. Guskov27, S. Han60, X. Q. Hao16, F. A. Harris48, K. L. He1,47, F. H. Heinsius4, T. Held4, Y. K. Heng1,43,47, M. Himmelreich11,g, Y. R. Hou47, Z. L. Hou1, H. M. Hu1,47, J. F. Hu38,h, T. Hu1,43,47, Y. Hu1, G. S. Huang55,43, J. S. Huang16, X. T. Huang37, X. Z. Huang33, N. Huesken52, T. Hussain57, W. Ikegami Andersson59, W. Imoehl22, M. Irshad55,43, Q. Ji1, Q. P. Ji16, X. B. Ji1,47, X. L. Ji1,43, H. L. Jiang37, X. S. Jiang1,43,47, X. Y. Jiang34, J. B. Jiao37, Z. Jiao18, D. P. Jin1,43,47, S. Jin33, Y. Jin49, T. Johansson59, N. Kalantar-Nayestanaki29, X. S. Kang31, R. Kappert29, M. Kavatsyuk29, B. C. 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Liu1,43,47, Zhiqing Liu37, Y. F. Long35, X. C. Lou1,43,47, H. J. Lu18, J. D. Lu1,47, J. G. Lu1,43, Y. Lu1, Y. P. Lu1,43, C. L. Luo32, M. X. Luo62, P. W. Luo44, T. Luo9,j, X. L. Luo1,43, S. Lusso58C, X. R. Lyu47, F. C. Ma31, H. L. Ma1, L. L. Ma37, M. M. Ma1,47, Q. M. Ma1, X. N. Ma34, X. X. Ma1,47, X. Y. Ma1,43, Y. M. Ma37, F. E. Maas15, M. Maggiora58A,58C, S. Maldaner26, S. Malde53, Q. A. Malik57, A. Mangoni23B, Y. J. Mao35, Z. P. Mao1, S. Marcello58A,58C, Z. X. Meng49, J. G. Messchendorp29, G. Mezzadri24A, J. Min1,43, T. J. Min33, R. E. Mitchell22, X. H. Mo1,43,47, Y. J. Mo6, C. Morales Morales15, N. Yu. Muchnoi10,d, H. Muramatsu51, A. Mustafa4, S. Nakhoul11,g, Y. Nefedov27, F. Nerling11,g, I. B. Nikolaev10,d, Z. Ning1,43, S. Nisar8,k, S. L. Niu1,43, S. L. Olsen47, Q. Ouyang1,43,47, S. Pacetti23B, Y. Pan55,43, M. Papenbrock59, P. Patteri23A, M. Pelizaeus4, H. P. Peng55,43, K. Peters11,g, J. Pettersson59, J. L. Ping32, R. G. Ping1,47, A. Pitka4, R. Poling51, V. Prasad55,43, M. Qi33, T. Y. Qi2, S. Qian1,43, C. F. Qiao47, N. Qin60, X. P. Qin13, X. S. Qin4, Z. H. Qin1,43, J. F. Qiu1, S. Q. Qu34, K. H. Rashid57,i, C. F. Redmer26, M. Richter4, A. Rivetti58C, V. Rodin29, M. Rolo58C, G. Rong1,47, Ch. Rosner15, M. Rump52, A. Sarantsev27,e, M. Savrié24B, K. Schoenning59, W. Shan19, X. Y. Shan55,43, M. Shao55,43, C. P. Shen2, P. X. Shen34, X. Y. Shen1,47, H. Y. Sheng1, X. Shi1,43, X. D Shi55,43, J. J. Song37, Q. Q. Song55,43, X. Y. Song1, S. Sosio58A,58C, C. Sowa4, S. Spataro58A,58C, F. F. Sui37, G. X. Sun1, J. F. Sun16, L. Sun60, S. S. Sun1,47, X. H. Sun1, Y. J. Sun55,43, Y. K Sun55,43, Y. Z. Sun1, Z. J. Sun1,43, Z. T. Sun1, Y. T Tan55,43, C. J. Tang40, G. Y. Tang1, X. Tang1, V. Thoren59, B. Tsednee25, I. Uman46D, B. Wang1, B. L. Wang47, C. W. Wang33, D. Y. Wang35, H. H. Wang37, K. Wang1,43, L. L. Wang1, L. S. Wang1, M. Wang37, M. Z. Wang35, Meng Wang1,47, P. L. Wang1, R. M. Wang61, W. P. Wang55,43, X. Wang35, X. F. Wang1, X. L. Wang9,j, Y. Wang44, Y. Wang55,43, Y. F. Wang1,43,47, Z. Wang1,43, Z. G. Wang1,43, Z. Y. Wang1, Zongyuan Wang1,47, T. Weber4, D. H. Wei12, P. Weidenkaff26, H. W. Wen32, S. P. Wen1, U. Wiedner4, G. Wilkinson53, M. Wolke59, L. H. Wu1, L. J. Wu1,47, Z. Wu1,43, L. Xia55,43, Y. Xia20, S. Y. Xiao1, Y. J. Xiao1,47, Z. J. Xiao32, Y. G. Xie1,43, Y. H. Xie6, T. Y. Xing1,47, X. A. Xiong1,47, Q. L. Xiu1,43, G. F. Xu1, J. J. Xu33, L. Xu1, Q. J. Xu14, W. Xu1,47, X. P. Xu41, F. Yan56, L. Yan58A,58C, W. B. Yan55,43, W. C. Yan2, Y. H. Yan20, H. J. Yang38,h, H. X. Yang1, L. Yang60, R. X. Yang55,43, S. L. Yang1,47, Y. H. Yang33, Y. X. Yang12, Yifan Yang1,47, Z. Q. Yang20, M. Ye1,43, M. H. Ye7, J. H. Yin1, Z. Y. You44, B. X. Yu1,43,47, C. X. Yu34, J. S. Yu20, C. Z. Yuan1,47, X. Q. Yuan35, Y. Yuan1, A. Yuncu46B,a, A. A. Zafar57, Y. Zeng20, B. X. Zhang1, B. Y. Zhang1,43, C. C. Zhang1, D. H. Zhang1, H. H. Zhang44, H. Y. Zhang1,43, J. Zhang1,47, J. L. Zhang61, J. Q. Zhang4, J. W. Zhang1,43,47, J. Y. Zhang1, J. Z. Zhang1,47, K. Zhang1,47, L. Zhang45, S. F. Zhang33, T. J. Zhang38,h, X. Y. Zhang37, Y. Zhang55,43, Y. H. Zhang1,43, Y. T. Zhang55,43, Yang Zhang1, Yao Zhang1, Yi Zhang9,j, Yu Zhang47, Z. H. Zhang6, Z. P. Zhang55, Z. Y. Zhang60, G. Zhao1, J. W. Zhao1,43, J. Y. Zhao1,47, J. Z. Zhao1,43, Lei Zhao55,43, Ling Zhao1, M. G. Zhao34, Q. Zhao1, S. J. Zhao63, T. C. Zhao1, Y. B. Zhao1,43, Z. G. Zhao55,43, A. Zhemchugov27,b, B. Zheng56, J. P. Zheng1,43, Y. Zheng35, Y. H. Zheng47, B. Zhong32, L. Zhou1,43, L. P. Zhou1,47, Q. Zhou1,47, X. Zhou60, X. K. Zhou47, X. R. Zhou55,43, Xiaoyu Zhou20, Xu Zhou20, A. N. Zhu1,47, J. Zhu34, J. Zhu44, K. Zhu1, K. J. Zhu1,43,47, S. H. Zhu54, W. J. Zhu34, X. L. Zhu45, Y. C. Zhu55,43, Y. S. Zhu1,47, Z. A. Zhu1,47, J. Zhuang1,43, B. S. Zou1, J. H. Zou1
(BESIII Collaboration)
1* Institute of High Energy Physics, Beijing 100049, People’s Republic of China
2 Beihang University, Beijing 100191, People’s Republic of China
3 Beijing Institute of Petrochemical Technology, Beijing 102617, People’s Republic of China
4 Bochum Ruhr-University, D-44780 Bochum, Germany
5 Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
6 Central China Normal University, Wuhan 430079, People’s Republic of China
7 China Center of Advanced Science and Technology, Beijing 100190, People’s Republic of China
8 COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
9 Fudan University, Shanghai 200443, People’s Republic of China
10 G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
11 GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
12 Guangxi Normal University, Guilin 541004, People’s Republic of China
13 Guangxi University, Nanning 530004, People’s Republic of China
14 Hangzhou Normal University, Hangzhou 310036, People’s Republic of China
15 Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
16 Henan Normal University, Xinxiang 453007, People’s Republic of China
17 Henan University of Science and Technology, Luoyang 471003, People’s Republic of China
18 Huangshan College, Huangshan 245000, People’s Republic of China
19 Hunan Normal University, Changsha 410081, People’s Republic of China
20 Hunan University, Changsha 410082, People’s Republic of China
21 Indian Institute of Technology Madras, Chennai 600036, India
22 Indiana University, Bloomington, Indiana 47405, USA
23 (A)INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy; (B)INFN and University of Perugia, I-06100, Perugia, Italy
24 (A)INFN Sezione di Ferrara, I-44122, Ferrara, Italy; (B)University of Ferrara, I-44122, Ferrara, Italy
25 Institute of Physics and Technology, Peace Ave. 54B, Ulaanbaatar 13330, Mongolia
26 Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
27 Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
28 Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
29 KVI-CART, University of Groningen, NL-9747 AA Groningen, The Netherlands
30 Lanzhou University, Lanzhou 730000, People’s Republic of China
31 Liaoning University, Shenyang 110036, People’s Republic of China
32 Nanjing Normal University, Nanjing 210023, People’s Republic of China
33 Nanjing University, Nanjing 210093, People’s Republic of China
34 Nankai University, Tianjin 300071, People’s Republic of China
35 Peking University, Beijing 100871, People’s Republic of China
36 Shandong Normal University, Jinan 250014, People’s Republic of China
37 Shandong University, Jinan 250100, People’s Republic of China
38 Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
39 Shanxi University, Taiyuan 030006, People’s Republic of China
40 Sichuan University, Chengdu 610064, People’s Republic of China
41 Soochow University, Suzhou 215006, People’s Republic of China
42 Southeast University, Nanjing 211100, People’s Republic of China
43 State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People’s Republic of China
44 Sun Yat-Sen University, Guangzhou 510275, People’s Republic of China
45 Tsinghua University, Beijing 100084, People’s Republic of China
46 (A)Ankara University, 06100 Tandogan, Ankara, Turkey; (B)Istanbul Bilgi University, 34060 Eyup, Istanbul, Turkey; (C)Uludag University, 16059 Bursa, Turkey; (D)Near East University, Nicosia, North Cyprus, Mersin 10, Turkey
47 University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
48 University of Hawaii, Honolulu, Hawaii 96822, USA
49 University of Jinan, Jinan 250022, People’s Republic of China
50 University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
51 University of Minnesota, Minneapolis, Minnesota 55455, USA
52 University of Muenster, Wilhelm-Klemm-Str. 9, 48149 Muenster, Germany
53 University of Oxford, Keble Rd, Oxford, UK OX13RH
54 University of Science and Technology Liaoning, Anshan 114051, People’s Republic of China
55 University of Science and Technology of China, Hefei 230026, People’s Republic of China
56 University of South China, Hengyang 421001, People’s Republic of China
57 University of the Punjab, Lahore-54590, Pakistan
58 (A)University of Turin, I-10125, Turin, Italy; (B)University of Eastern Piedmont, I-15121, Alessandria, Italy; (C)INFN, I-10125, Turin, Italy
59 Uppsala University, Box 516, SE-75120 Uppsala, Sweden
60 Wuhan University, Wuhan 430072, People’s Republic of China
61 Xinyang Normal University, Xinyang 464000, People’s Republic of China
62 Zhejiang University, Hangzhou 310027, People’s Republic of China
63 Zhengzhou University, Zhengzhou 450001, People’s Republic of China
a Also at Bogazici University, 34342 Istanbul, Turkey
b Also at the Moscow Institute of Physics and Technology, Moscow 141700, Russia
c Also at the Functional Electronics Laboratory, Tomsk State University, Tomsk, 634050, Russia
d Also at the Novosibirsk State University, Novosibirsk, 630090, Russia
e Also at the NRC ”Kurchatov Institute”, PNPI, 188300, Gatchina, Russia
f Also at Istanbul Arel University, 34295 Istanbul, Turkey
g Also at Goethe University Frankfurt, 60323 Frankfurt am Main, Germany
h Also at Key Laboratory for Particle Physics, Astrophysics and Cosmology, Ministry of Education; Shanghai Key Laboratory for Particle Physics and Cosmology; Institute of Nuclear and Particle Physics, Shanghai 200240, People’s Republic of China
i Also at Government College Women University, Sialkot - 51310. Punjab, Pakistan.
j Also at Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics, Fudan University, Shanghai 200443, People’s Republic of China
k Also at Harvard University, Department of Physics, Cambridge, MA, 02138, USA
Abstract
The Born cross section for the process is measured using the initial state radiation technique with an undetected photon. This analysis is based on datasets corresponding to an integrated luminosity of 7.5 fb*-1*, collected with the BESIII detector at the BEPCII collider at center of mass energies between 3.773 and 4.600 GeV. The Born cross section for the process and the proton effective form factor are determined in the invariant mass range between 2.0 and 3.8 GeV/ divided into 30 intervals. The proton form factor ratio () is measured in 3 intervals of the invariant mass between 2.0 and 3.0 GeV/.
pacs:
13.66.Bc, 14.20.Dh, 13.40.Gp
††preprint: APS/123-QED
I Introduction
Electromagnetic form factors (FFs) are fundamental quantities that describe the internal structure of hadrons. The proton (spin 1/2) is characterized by the electric FF and the magnetic FF . They are experimentally accessible through the measurements of cross sections for elastic electron-proton scattering in the spacelike region (momentum transfer squared ) and annihilation processes in the timelike region () Denig and Salmè (2013); Pacetti et al. (2015). At low momentum transfer, spacelike FFs provide information on the distributions of the electric charges and magnetization within the proton. In the timelike region, electromagnetic FFs can be associated with the time evolution of these distributions Kuraev et al. (2012). The unpolarized cross section for elastic electron-proton scattering has been measured for decades with improved accuracy. However, the recent data on the elastic electron-proton scattering, based on the polarization transfer method Akhiezer and Rekalo (1968, 1974), showed that the ratio (where is the proton magnetic moment) decreases almost linearly with Puckett et al. (2017). This result is in disagreement with the previous measurements of unpolarized elastic scattering Puckett et al. (2017).
In the timelike region, the proton FFs have been measured with the annihilation channels using the energy scan technique Castellano et al. (1973); Andreotti et al. (2003); Ambrogiani et al. (1999); Antonelli et al. (1998); Bardin et al. (1994); Armstrong et al. (1993); Delcourt et al. (1979); Bisello et al. (1983, 1990); Ablikim et al. (2005, 2015a); Pedlar et al. (2005); Akhmetshin et al. (2016), in which the center of mass (c.m.) energy () of the collider is varied systematically, and at each c.m. energy point a measurement of the associated cross section is carried out. The radiative return channel , where is a hard photon emitted by initial state radiation (ISR), allows for a complementary approach to the energy scan technique in proton FF measurements. It has been used by the BABAR Collaboration to measure the timelike proton FF ratio and the effective FF (see Eq. (13)) in a continuous range of Lees et al. (2013a, b). The BABAR data shows some oscillations in the measured . The origin of these oscillations has recently been the subject of several theoretical studies Lorentz et al. (2015); Bianconi and Tomasi-Gustafsson (2016), but has not yet been well understood. The precision of the proton FF measurements in the timelike region has been limited by the statistics collected at the and annihilation experiments.
In this paper we study the ISR process to measure the Born cross section of the process and to determine the proton FFs in the timelike region. We use datasets, corresponding to an integrated luminosity of 7.5 fb*-1*, collected with the Beijing Spectrometer III (BESIII) Ablikim et al. (2010) at the Beijing Electron-Positron Collider II (BEPCII) at c.m. energies between 3.773 and 4.600 GeV. We analyze the events in which the ISR photon cannot be detected because it is emitted at small polar angles (small-angle ISR), into the region not covered by the acceptance of the BESIII detector. The events are produced in the full range of the ISR polar angle. While only the final state proton and antiproton are detected, the small-angle ISR photon is identified based on the momentum conservation relations that describe this process. The differential cross section of the reaction as a function of the ISR polar angle reaches its highest values at small angles relative to the direction of the electron (or positron) beam Druzhinin et al. (2011). The measurement of the reaction in this region benefits from the availability of a large number of signal events.
The Born cross section for the ISR process (Fig. 1) integrated over the photon polar angle can be written as Druzhinin et al. (2011)
[TABLE]
where , is the invariant mass, , and is the energy of the ISR photon in the c.m. system. The function Druzhinin et al. (2011)
[TABLE]
is the probability for the emission of a hard ISR photon with energy fraction , is the electromagnetic coupling constant, and is the electron mass. Equations (1) and (2) describe ISR processes at the lowest QED order. The Born cross section for the nonradiative process is given by
[TABLE]
where is the proton mass and is the Coulomb correction factor Tzara (1970) which makes the cross section for the production nonzero at threshold.
The paper is organized as follows. The BESIII detector, the data and the Monte Carlo (MC) samples used in this analysis are described in Sec. II. The procedure to identify the signal and to estimate the number of remaining background events is explained in Secs. III and IV. In Sec. VI we present the results on the measurements of the Born cross section for the channel and the proton effective FF. The measured values of the proton FF ratio and the branching fractions for the to decays are reported in Secs. VII and VIII, respectively. The conclusion section contains a summary and an outlook.
II The BESIII detector and event samples
BEPCII is a double ring collider running at c.m. energies between 2.0 and 4.6 GeV. It has a peak luminosity of cm*-2s-1* at MeV. The BESIII detector is a general purpose spectrometer with an effective geometrical acceptance of of . It consists of a small cell, helium-based ( He, C3H8) main drift chamber (MDC), a time-of-flight (TOF) system, a CsI(Tl) electromagnetic calorimeter (EMC) and a muon system (MUC). The MDC provides momentum measurement of charged particles with a resolution of at 1 GeV/ in a 1 Tesla magnetic field. The energy loss measured by the MDC has a resolution better than . The TOF is based on 5-cm-thick plastic scintillators with a time resolution of 80 ps in the barrel and 110 ps in the end caps. The EMC is used to measure the energies of photons and electrons. The EMC provides an energy resolution (for 1 GeV photons) of in the barrel region and in the end caps. The MUC system consists of resistive plate chambers. It is used to identify muons and provides a spatial resolution better than 2 cm.
The data samples used in this analysis were collected at 7 c.m. energy points between 3.773 and 4.600 GeV. Table 1 summarizes the integrated luminosity collected at each c.m. energy point Ablikim et al. (2016, 2015b). The integrated luminosities of the datasets used in this work were measured using the Bhabha scattering events. Their systematic uncertainties are mainly due to the uncertainties on the tracking of charged particles, the estimation of the signal selection efficiency, the determination of the c.m. energy, and the trigger efficiency for collecting the Bhabha scattering events in the online data acquisition. MC samples for signal and background channels are simulated using a geant4-based Agostinelli et al. (2003) simulation software package BESIII BOOST (BESIII Object Oriented Simulation Tool) Deng et al. (2006). The MC samples are produced with large amounts of generated events to determine the signal efficiencies and to estimate the potential background contamination. The signal process is generated with the phokhara event generator Czyz et al. (2014), which takes into account next-to-leading order radiative corrections. The critical background channels and the two-photon process (, where can be leptons, or quarks which hadronize using jetset Sjostrand ) are simulated using the generator software package conexc Ping et al. (2014) and the event generator bestwogam Ping (2008), respectively. The ISR background processes and are simulated with the phokhara event generator up to the next-to-leading order of radiative corrections. The inclusive hadronic channels are studied with the kkmc event generator Jadach et al. (2001, 2000). The channel is simulated with the babayaga event generator Balossini et al. (2006). The ISR processes and are generated with besevtgen Ping (2008) using the vectorisr model Bonneau and Martin (1971); Lange (2001).
III Event Selection
Charged tracks of polar angles are identified by the MDC. The distance between the interaction point (IP) and the point of closest approach for each charged track is required to be within 1 cm in the plane perpendicular to the beam direction and within cm along the beam direction. The energy loss in the MDC and the flight time measured by the TOF system are used to calculate the particle identification (PID) probabilities for the electron, muon, pion, kaon and proton hypotheses. The particle type of highest PID probability is assigned to the charged track. The ratio of the shower energy deposited in the EMC () to the reconstructed momentum () of the positively charged track associated with the shower is required to be less than 0.5. The PID efficiency for the proton and the antiproton, in the momentum range between 0.3 GeV/c and 1.5 GeV/c, is larger than . The events with only two charged tracks, identified as proton and antiproton, are selected.
In this analysis, the ISR photon is not detected. The final event selection is based mainly on two variables, the missing momentum and the missing mass squared recoiling against the system. The missing momentum is defined as:
[TABLE]
where () and () are the momentum vectors in the laboratory frame of the initial state electron (positron) and final state antiproton (proton), respectively. The angular distribution of the missing momentum is used to suppress the hadronic background, in particular the process . Figure 2 shows the distribution of the polar angle () of the missing momentum in the laboratory frame for the MC signal and background events. The angle is required to be in the region
[TABLE]
This condition removes the signal events in which the ISR photon is emitted at large polar angle.
The missing mass squared is defined by
[TABLE]
where () and () are the four-momenta of the initial state electron (positron) and final state antiproton (proton), respectively. Figure 3 shows the distributions of for the simulated signal and background events at GeV. The events are required to have a in the interval
[TABLE]
for the data samples collected at GeV, and
[TABLE]
for the data sample collected at GeV. This condition mainly suppresses the background from the processes , and two-photon channel. At GeV, a narrower window of the interval is needed to reject the remaining background from the resonance [] decays into the final state.
The polar angles of the proton and the antiproton in the c.m. system are required to be within . Due to the conditions applied on the distributions of and [Eqs. (5], (7) and (8)), the efficiency of the signal in the region is very small. The condition is used to suppress the remaining background from the process .
The collected events at the 6 c.m. energies for GeV are analyzed in intervals between 2.0 and 3.8 GeV/. The events collected at GeV are analyzed in a smaller range between 2.0 and 2.9 GeV/. Above 2.9 GeV/ (3.8 GeV/), the number of signal events from GeV ( GeV) is small and it is comparable to the number of remaining background events. The distribution of for the selected data candidates is shown in Fig. 4. The total number of events, from the data samples collected at the 7 c.m. energies, is around 9100. Selected events from and decays are clearly seen at and 3.7 GeV/, respectively.
IV Background estimation and subtraction
The background events in the MC samples of and are suppressed by the selection criteria described in Sec. III. The amount of generated events in each MC sample exceeds the number of expected events for these background channels according to their cross sections and luminosities, and they can consequently be safely neglected. The ISR channels are suppressed to below of the total selected events and they can also be neglected. In the following the numbers of background events from , and the two-photon channel are estimated and subtracted from the selected data events.
IV.1 Numbers of events from the and decays into
The selected events with falling in the regions of resonance are shown in Figs. 5 and 6 and those in resonance in Fig. 7. The selected events for the different data samples are fitted using the sum of a Gaussian function (for resonance events) and a linear or exponential function (for signal and possible remaining background channels). The fit parameters are the number of resonance events, the number of nonresonance events, the constant of the linear/exponential function, the mean and the sigma of the Gaussian function. The numbers of resonance and nonresonance events are calculated for each data sample separately. The numbers of events for the and decays are listed in Table 2.
IV.2 Background from
The process is a critical background to the signal process since it contains the same detected charged particles, proton and antiproton, as the signal. To estimate the background from the process , we use the difference of the distributions between signal and background events. The MC samples generated based on the measured angular distributions of the process Ablikim et al. (2014, 2017) are used. Figure 8 shows the distributions of , the polar angle of the missing momentum, for data events and simulated signal and background events. The red (blue) area in Fig. 8 represents the signal (sideband) region. The number of data events in the sideband region () and the number of background events in the signal region () are related by:
[TABLE]
where is the number of data events in the signal region. The numbers and are determined from data after applying the event selection conditions except the requirement. The ratios and are the ratios from the MC signal and background events, respectively. ISR effects () are simulated with the generator software package conexc and they are used to correct . Data-MC difference in the calculation of the ratios and , or presence of other background events in the sideband or the signal region, can provide wrong number of . These effects are considered in the calculation of the systematic uncertainty on the number of selected events.
The number of background events is determined for each data sample separately. This background source constitutes of the selected data events.
IV.3 Background from two-photon channel
The number of background events from the two-photon channel is estimated using the same method described in Sec. IV.2. Figure 9 shows the two-dimensional distributions of versus for the MC signal and two-photon events, and for the data events at GeV. The region of large values ( GeV/ at GeV and GeV/ at GeV) is chosen as the sideband region. The black lines in Fig. 9 show the borders of the signal region at =4.226 GeV. The total number of background events from the two-photon channel constitutes of the total selected data events. No background events from the two-photon channel are survived in the region above 3.0 GeV/.
The sum of the background events over the 7 c.m. energy points for the and two-photon channels in each interval is given in Table 3.
V Signal efficiency
The signal efficiency is determined from the MC simulations of the signal by dividing the number of selected events by the number of generated events. The signal events are generated in the full range of the proton momenta and the photon polar angle. The integrated signal efficiency at GeV is equal to . It decreases to at the highest c.m. energy ( GeV). The signal efficiency is determined in each interval using the MC events of the process generated up to the next-to-leading order radiative corrections. The parametrizations for and from Ref. Czyz et al. (2014) are used to calculate the efficiency of the signal. The dependence of the signal efficiency is shown in Fig. 10 for , , and GeV. In the low region ( GeV/), the proton and antiproton are produced in a narrow cone around the vector opposite to the direction of the ISR photon. The signal events at low region are suppressed due to the limited acceptance of the BESIII tracking system.
VI Cross section for the process and the proton effective FF
The Born cross section for the process is calculated in each interval and for each data sample () as follows:
[TABLE]
where is the number of selected events after background subtraction, is the detection efficiency, is the radiative correction factor and is the ISR differential luminosity. The index runs over the 7 c.m. energies.
The detection efficiency is determined in each interval using the MC events of the process generated up to the next-to-leading order radiative corrections. The radiative correction factor describes the distortion of the cross section due to contribution of higher order diagrams. It is calculated using the generated MC events of the signal and takes into account vacuum polarization and photon emissions from the initial and final states. The differential luminosity is calculated as:
[TABLE]
where [Eq. (2)] is a function of the c.m. energy squared () and the energy fraction , and is the integrated luminosity collected at the c.m. energy (Table 1). The integral in Eq. (11) is performed over the width of the selected interval. The MC events of the signal process are used to determine the mass resolution in each interval. The width of the chosen interval exceeds the mass resolution for all the masses.
The Born cross sections are combined using the error weighted combination method Schmelling (1995):
[TABLE]
where and are the statistical errors of and , respectively. The indices and run over the 7 c.m. energies.
The obtained values of the Born cross section for the process are listed in Table 4. The quoted uncertainties are statistical and systematic. The systematic uncertainties of the measured cross section include uncertainties from tracking, PID, requirement, background estimation, and requirements, and luminosity determination. The contributions of the uncertainties from the tracking of the two charged particles (), PID () and requirement () are uniform over the considered range Ablikim et al. (2015a). To determine the uncertainty from the background estimation of the and two-photon channels, we calculate the number of selected events (before efficiency correction) with and without background subtraction. The difference between the two cases (1.0-7.3 for the channel and less than 5.4 for the two-photon channel) is taken as systematic uncertainty from the background estimation. We associate 0.5 systematic uncertainty to the possible background contribution from . To study the systematic uncertainties from the and requirements, the Born cross section for the process is recalculated using reduced selection windows of about compared to the original values. The uncertainties from the () requirements are found to be less than 6 (5). The main sources of the systematic uncertainties on the measurements of the integrated luminosity at different c. m. energies are correlated Ablikim et al. (2016, 2015b). A conservative number of is taken as systematic uncertainty from the integrated luminosity measurements. In addition, we associate 0.5 systematic uncertainty to the radiator function Druzhinin et al. (2011) and 1.0 to the calculation of the final state radiation Czyz et al. (2014). At low region, the uncertainty of the Born cross section is dominated by the uncertainty in the measured FF ratio . The values of the signal efficiency depend on the model of the proton FFs used in the event generator. The model error due to the uncertainty in the measured is determined by varying within its statistical uncertainty (see Sec. VII). It decreases from at 2 GeV/ to 3-4 in the region below 3.0 GeV/. For GeV/, where is not measured, the model uncertainty () is estimated as the difference between the detection efficiencies obtained with and , divided by two. In each interval, the systematic uncertainties listed above are added in quadrature.
Knowing the Born cross section for the process , one can determine the effective FF of the proton by
[TABLE]
The obtained values of are reported in Table 4 for each interval. The results on the Born cross section and the proton effective FF are shown in Figs. 11 and 12, respectively. The results are consistent with previous experiments. In particular, we reproduce the structures seen in the measurements of the proton effective FF by the BABAR Collaboration Lees et al. (2013a, b). References Ambrogiani et al. (1999); Brodsky and de Teramond (2008); Tomasi-Gustafsson and Rekalo (2001); Shirkov and Solovtsov (1997) provide several parametrizations of the timelike proton FFs. For example, the blue dashed curve in Fig. 12 represents the quantum chromodynamics (QCD) inspired parametrization of from Refs. Shirkov and Solovtsov (1997); Bianconi and Tomasi-Gustafsson (2016):
[TABLE]
where the parameters {\cal{A_{\rm QCD}}}=72~{}(\mbox{GeV/c})^{4} and \Lambda_{\rm QCD}=0.52~{}(\mbox{GeV/c}) are obtained from a fit to the previous experimental data Bianconi and Tomasi-Gustafsson (2015). The data on the timelike effective FF are best reproduced by the function proposed in Ref. Tomasi-Gustafsson and Rekalo (2001),
[TABLE]
where and m_{a}^{2}=14.8~{}(\mbox{GeV/c})^{2} are the fit parameters obtained previously in Ref. Bianconi and Tomasi-Gustafsson (2015). It is illustrated in Fig. 12 by the solid black curve.
The two functions [Eqs. (14] and (15)) reproduce the behavior of the effective FF over the long range. However, the measurements indicate some oscillating structures and therefore a more complex behavior than the smooth decrease predicted by QCD as a function of . These oscillations are clearly seen when the data are plotted as a function of the 3-momentum of the relative motion of the final proton and antiproton Bianconi and Tomasi-Gustafsson (2016). Figure 13(a) shows the values of the proton effective FF as a function of after subtraction of the smooth function described by Eq. (15). The black solid curve in Fig. 13(a) describes the periodic oscillations and has the form Bianconi and Tomasi-Gustafsson (2016)
[TABLE]
where , B^{\rm osc}=0.7~{}(\mbox{GeV/c})^{-1}, C^{\rm osc}=5.5~{}(\mbox{GeV/c})^{-1} and are obtained previously from a fit to the BABAR data Bianconi and Tomasi-Gustafsson (2015). The origin of these oscillating structures can be attributed to an interference effect involving rescattering processes in the final state Bianconi and Tomasi-Gustafsson (2016) or to independent resonant structures, as in Ref. Lorentz et al. (2015). The structure seen around 2.15 GeV/ [Fig. 13(b)] can be for example attributed to the resonance Patrignani et al. (2016). Other possible interpretations of these structures are not excluded here.
VII Proton FF ratio
The proton FF ratio is determined by fitting the distribution of the helicity angle for the selected data events. The helicity angle is the angle between the proton momentum in the rest frame, and the momentum of the system in the c.m. system. The distribution of is given by Aubert et al. (2006)
[TABLE]
where is an overall normalization parameter. The functions and describe the magnetic and the electric contributions to the angular distribution , respectively. They are obtained from MC simulations in form of histograms. The process is generated (up to the next to leading order radiative corrections) with to determine , and with to determine .
The angular distributions of the selected events are studied in three intervals between 2.0 and 3.0 GeV/. The background events are subtracted from the selected data events in each interval. After background subtraction, the data events are corrected by the efficiency of the signal. The signal efficiency is determined from the MC simulations of the signal by dividing the number of selected events by the number of generated events. The signal efficiency depends on the distributions of , , and . Figure 14 shows the distributions of the signal efficiency as a function of in the three intervals at GeV. The data collected at the 7 c.m. energies are combined after efficiency correction. The proton FF ratio is determined by fitting the distributions (Fig. 15) using Eq. (17) and taking into account the relative normalization between and .
The obtained values of are listed in Table 5. The total uncertainty is dominated by the statistical uncertainties. The main contributions to the systematic uncertainty in the measurements come from the fit range, background estimation, and from the and requirements. A comparison of measured in this work and other experiments is shown in Fig. 16.
VIII Branching fractions of
The measured numbers of resonance decays () (Sec. IV.1) are used to determine the branching fractions, and , as follows Benayoun et al. (1999):
[TABLE]
where is the mass of the resonance, is the ISR function [Eq. (2)], and is the electronic width of . The radiative correction factor is determined using the MC events of the signal process . The luminosity is the integrated luminosity collected at the c.m. energy (Table 1). For the electronic widths of and , the nominal values from Ref. Patrignani et al. (2016) are used. MC samples for and are generated at the different c.m. energies between 3.773 and 4.6 GeV to determine the detection efficiency . The MC events are produced with proton angular distributions described by the function with for Ablikim et al. (2012) and for Ablikim et al. (2018). The branching fractions of and are calculated for each data sample individually. The systematic uncertainties of the measured branching fractions include uncertainties from tracking (), PID (), requirement (), and requirements, luminosity determination (0.8), and radiator function (0.5). The uncertainties from the () requirements are found to be () for and negligible for . The model error in the detection efficiency due to the uncertainty of the value is negligible. The difference between the fit output using a linear and an exponential fit function for the nonpeaking events is added to the systematic uncertainties ( for and negligible for ). The obtained average value of , where the quoted uncertainties are statistical and systematic, respectively, is in good agreement with the world average value of Patrignani et al. (2016). For , the obtained average value is consistent with the world average value of Patrignani et al. (2016) and with the latest measurement of BESIII Ablikim et al. (2018) based on events Ablikim et al. (2013).
IX Summary
Based on data samples corresponding to an integrated luminosity of 7.5 fb*-1* collected with the BESIII detector at c.m. energies between 3.773 and 4.600 GeV, the proton FFs have been measured using the ISR technique. In this work, the events in which the ISR photons cannot be detected have been analyzed. The Born cross section of the channel and the proton effective FF have been measured in 30 intervals between 2.0 and 3.8 GeV/. The results are consistent with previous measurements and provide better precision in different intervals. The total relative uncertainty of the Born cross section is between and . We have confirmed the structures seen in the measurements of the proton effective FF by the BABAR Collaboration Lees et al. (2013a, b). The proton angular distributions have been also analyzed to determine the proton FF ratio in 3 intervals between 2.0 and 3.0 GeV/. The uncertainty on the measured proton FF ratio is dominated by the statistical uncertainty due to limited range of the proton angular distribution. The possibility to access the low region below 2 GeV/ with ISR technique and undetected photon will be investigated in the future using the data samples collected at c.m. energies below 3.773 GeV. In addition, the branching fractions of the to decays are also measured. The results are in good agreements with the world average values. BESIII is an excellent laboratory for the measurement of baryon timelike FFs. Both ISR and scan methods can be performed, and the kinematical threshold for different baryon pair production is covered by the energy range of BEPCII. In 2015, BESIII performed high luminosity scan in 22 energy points between 2.0 and 3.08 GeV. Based on these data samples, more measurements of the nucleon electromagnetic FFs will be available in this kinematical region.
Acknowledgements.
The BESIII Collaboration thanks the staff of BEPCII and the IHEP computing center for their strong support. This work is supported in part by National Key Basic Research Program of China under Contract No. 2015CB856700; National Natural Science Foundation of China (NSFC) under Contracts No. 11335008, No. 11425524, No. 11625523, No. 11635010, No. 11735014; the Chinese Academy of Sciences (CAS) Large-Scale Scientific Facility Program; the CAS Center for Excellence in Particle Physics (CCEPP); Joint Large-Scale Scientific Facility Funds of the NSFC and CAS under Contracts No. U1532257, No. U1532258, No. U1732263; CAS Key Research Program of Frontier Sciences under Contracts No. QYZDJ-SSW-SLH003, No. QYZDJ-SSW-SLH040; 100 Talents Program of CAS; INPAC and Shanghai Key Laboratory for Particle Physics and Cosmology; German Research Foundation DFG under Contracts No. Collaborative Research Center CRC 1044, No. FOR 2359; Istituto Nazionale di Fisica Nucleare, Italy; Koninklijke Nederlandse Akademie van Wetenschappen (KNAW) under Contract No. 530-4CDP03; Ministry of Development of Turkey under Contract No. DPT2006K-120470; National Science and Technology fund; The Swedish Research Council; The Knut and Alice Wallenberg Foundation; U. S. Department of Energy under Contracts No. DE-FG02-05ER41374, No. DE-SC-0010118, No. DE-SC-0010504, No. DE-SC-0012069; University of Groningen (RuG) and the Helmholtzzentrum fuer Schwerionenforschung GmbH (GSI), Darmstadt.
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