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3. Preliminary Design of CSNS-II Linac SRF LLRF

Author

Xie, Zhexin, Guo, Kai, Mu, Zhencheng, Ma, Xinpeng, Gan, Nan, Wan, Maliang, Wang, Bo, Rong, Linyan, Zhang, Hui, and Wang, Hexin

Subjects
Physics - Accelerator Physics
Abstract

China Spallation Neutron Source(CSNS) target power will upgrade to 500 kW(CSNS-II) from 300kW, energy gain of H-Linac will up to 300 MeV from 80 MeV using about 50 superconductor cavities. LLRF is an important device for controlling the amplitude and phase of the SRF cavity field to be less than 0.6% and 0.6 deg. The parameters and requirements for CSNS-II Linac LLRF are presented here. The preliminary design work and algorithm verification progress and results at C-ADS Injector-I are introduced., Comment: Talk presented at LLRF Workshop 2023(LLRF2023, arXiv:2310.03199)

Published
2023

8. Commissioning of te China-ADS injector-I testing facility

Author

Yan, Fang, Geng, Huiping, Meng, Cai, Zhao, Yaliang, Ouyang, Huafu, Pei, Shilun, Liu, Rong, He, Feisi, Huang, Tongming, Ge, Rui, Sui, Yanfeng, Ye, Qiang, Jing, Xiaoping, Long, Fengli, Li, Jungang, Peng, Quanling, Guo, Dizhou, Zhou, Zusheng, Lin, Haiyin, Ma, Xinpeng, Wang, Qunyao, Wang, Guangwei, Shi, Hua, Wu, Gang, Wang, Shengchang, Zhou, Ningchuang, Ma, Qiang, Mi, Zhenghui, Sha, Peng, Zhang, Xinying, Du, Yaoyao, He, Jun, Ma, Huizhou, Yu, Lingda, Zhao, Ying, Zhao, Xiaoyan, Liu, Fang, Lu, Yanhua, Bian, Lin, Sun, liangrui, Ye, Rui, Peng, Xiaohua, He, Dayong, Xiao, Ouzheng, Gao, Yao, Hou, Zhenghua, Chen, Yuan, Yang, Xiangchen, Zhu, Hongyan, Li, Bo, Dong, Lan, Li, Heng, Sun, Xitong, Dong, Linglang, Su, Ping, Dai, Jianping, Wang, Jianli, Li, Shaopeng, Cao, Jianshe, Chi, Yunlong, and Pan, Weimin

Subjects
Physics - Accelerator Physics
Abstract

The 10 MeV accelerator-driven subcritical system (ADS) Injector-I test stand at Institute of High Energy Physics (IHEP) is a testing facility dedicated to demonstrate one of the two injector design schemes [Injector Scheme-I, which works at 325 MHz], for the ADS project in China. The Injector adopted a four vane copper structure RFQ with output energy of 3.2 MeV and a superconducting (SC) section accommodating fourteen \b{eta}g=0.12 single spoke cavities, fourteen SC solenoids and fourteen cold BPMs. The ion source was installed since April of 2014, periods of commissioning are regularly scheduled between installation phases of the rest of the injector. Continuous wave (CW) beam was shooting through the injector and 10 MeV CW proton beam with average beam current around 2 mA was obtained recently. This contribution describe the results achieved so far and the difficulties encountered in CW commissioning., Comment: 11 pages,27 figures

Published
2017

9. Hybrid meshless-FEM method for 3-D magnetotelluric modelling using non-conformal discretization.

Author

Cao, Jin, Liu, Yunhe, Yin, Changchun, Wang, Haoman, Su, Yang, Wang, Luyuan, Ma, Xinpeng, and Zhang, Bo

Subjects
ELECTROMAGNETIC theory, ELECTROMAGNETIC fields, MAGNETOTELLURIC prospecting, RADIAL basis functions, ELECTRIC fields
Abstract

SUMMARY: We propose a novel method for 3-D magnetotelluric (MT) forward modelling based on hybrid meshless and finite-element (FE) methods. This method divides the earth model into a central computational region and an expansion one. For the central region, we adopt scatter points to discretize the model, which can flexibly and accurately characterize the complex structures without generating unstructured mesh. The meshless method using compact support radial basis function is applied to simulate this area's electromagnetic field. While in the expansion region, to avoid the heavy time consumption and numerical error of the meshless method caused by non-uniform nodes, we adopt a node-based finite-element method with regular hexahedral mesh for stability. Finally, the two discretized systems are coupled at the interface nodes according to the continuity conditions of vector and scalar potentials. Considering that the normal electric field is discontinuous at the interface with resistivity discontinuity, while the shape functions for the meshless method are continuous, we further adopt the visibility criterion in constructing the support region. Numerical experiments on typical models show that using the same degree of freedom, the hybrid meshless-finite element method (FEM) algorithm has higher accuracy than the node-based FEM and meshless method. In addition, the electric field discontinuity at interfaces is well preserved, which proves the effectiveness of the visibility criterion method. In general, compared to the conventional grid-based method, this new approach does not need the complex mesh generation for complex structures and can achieve high accuracy, thus it has the potential to become a powerful 3-D MT forward modelling technique. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Time‐domain finite element method based on arbitrary quadrilateral meshes for two‐dimensional SHTE mode seismoelectric and electroseismic waves modelling.

Author

Li, Jun, Yin, Changchun, Liu, Yunhe, Huang, Xianyang, Zhang, Bo, Ren, Xiuyan, Su, Yang, Wang, Luyuan, and Ma, Xinpeng

Subjects
FINITE element method, QUADRILATERALS, ELECTROMAGNETIC waves, HYDROCARBON reservoirs, SEISMIC waves, ANALYTICAL solutions
Abstract

A time‐domain finite‐element method based on an arbitrary quadrilateral mesh is proposed to simulate two dimensional seismoelectric and electroseismic waves in SHTE mode. By decoupling the electrokinetic coupling equation, we can solve seismic waves and electromagnetic waves independently. For the simulation of seismic wavefield, we utilize a more compact second‐order unsplit perfectly matched layer that is easier to implement in finite‐element methods. Moreover, to avoid errors caused by the quasi‐static approximation, we directly solve the full‐wave electromagnetic equations when simulating the electromagnetic wavefield. Our computational domain is discretized using arbitrary quadrilateral meshes, which offers possibilities in handling undulating terrain and complex anomalies in the underground. To ensure computational accuracy, we utilized biquadratic interpolation as our finite‐element basis functions, which provides higher precision compared to bilinear interpolation. We validate our time‐domain finite‐element method by comparing its results with analytical solutions for a layered model. We also apply our algorithm to the modelling of an underground aquifer and a complex anomalous hydrocarbon reservoir under undulating terrain. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Correction: CEPC Technical Design Report: Accelerator

Author

Abdallah, Waleed, de Freitas, Tiago CarlosAdorno, Afanaciev, Konstantin, Ahmad, Shakeel, Ahmed, Ijaz, Ai, Xiaocong, Aleem, Abid, Altmannshofer, Wolfgang, Alves, Fabio, An, Weiming, An, Rui, Anderle, Daniele Paolo, Antusch, Stefan, Arai, Yasuo, Arbuzov, Andrej, Arhrib, Abdesslam, Ashry, Mustafa, Bai, Sha, Bai, Yu, Bai, Yang, Bairathi, Vipul, Balazs, Csaba, Bambade, Philip, Ban, Yong, Bandyopadhyay, Triparno, Bao, Shou-Shan, Barber, Desmond P., Bat, Ays¸e, Batozskaya, Varvara, Behera, Subash Chandra, Belyaev, Alexander, Bertucci, Michele, Bi, Xiao-Jun, Bi, Yuanjie, Bian, Tianjian, Bianchi, Fabrizio, Bieko¨tter, Thomas, Biglietti, Michela, Bilanishvili, Shalva, Binglin, Deng, Bodrov, Denis, Bogomyagkov, Anton, Bondarenko, Serge, Boogert, Stewart, Boonekamp, Maarten, Borri, Marcello, Bosotti, Angelo, Boudry, Vincent, Boukidi, Mohammed, Boyko, Igor, Bozovic, Ivanka, Bozzi, Giuseppe, Brient, Jean-Claude, Budzinskaya, Anastasiia, Bukhari, Masroor, Bytev, Vladimir, Cacciapaglia, Giacomo, Cai, Hua, Cai, Wenyong, Cai, Wujun, Cai, Yijian, Cai, Yizhou, Cai, Yuchen, Cai, Haiying, Cai, Huacheng, Calibbi, Lorenzo, Cang, Junsong, Cao, Guofu, Cao, Jianshe, Chance, Antoine, Chang, Xuejun, Chang, Yue, Chang, Zhe, Chang, Xinyuan, Chao, Wei, Chatrabhuti, Auttakit, Che, Yimin, Che, Yuzhi, Chen, Bin, Chen, Danping, Chen, Fuqing, Chen, Fusan, Chen, Gang, Chen, Guoming, Chen, Hua-Xing, Chen, Huirun, Chen, Jinhui, Chen, Ji-Yuan, Chen, Kai, Chen, Mali, Chen, Mingjun, Chen, Mingshui, Chen, Ning, Chen, Shanhong, Chen, Shanzhen, Chen, Shao-Long, Chen, Shaomin, Chen, Shiqiang, Chen, Tianlu, Chen, Wei, Chen, Xiang, Chen, Xiaoyu, Chen, Xin, Chen, Xun, Chen, Xurong, Chen, Ye, Chen, Ying, Chen, Yukai, Chen, Zelin, Chen, Zilin, Chen, Gang, Chen, Boping, Chen, Chunhui, Cheng, Hok Chuen, Cheng, Huajie, Cheng, Shan, Cheng, Tongguang, Chi, Yunlong, Chimenti, Pietro, Chiu, Wen Han, Cho, Guk, Chu, Ming-Chung, Chu, Xiaotong, Chu, Ziliang, Coloretti, Guglielmo, Crivellin, Andreas, Cui, Hanhua, Cui, Xiaohao, Cui, Zhaoyuan, D’Anzi, Brunella, Dai, Ling-Yun, Dai, Xinchen, Dai, Xuwen, De Maria, Antonio, De Filippis, Nicola, De La Taille, Christophe, De Mori, Francesca, De Sio, Chiara, Del Core, Elisa, Deng, Shuangxue, Deng, Wei-Tian, Deng, Zhi, Deng, Ziyan, Dev, Bhupal, Dewen, Tang, Di Micco, Biagio, Ding, Ran, Ding, Siqin, Ding, Yadong, Dong, Haiyi, Dong, Jianing, Dong, Jing, Dong, Lan, Dong, Mingyi, Dong, Xu, Dong, Yipei, Dong, Yubing, Dordevic, Milos, Drewes, Marco, Du, Mingxuan, Du, Mingxuan, Du, Qianqian, Du, Xiaokang, Du, Yanyan, Du, Yong, Du, Yunfei, Duan, Chun-Gui, Duan, Zhe, Dydyshka, Yahor, Egede, Ulrik, Elmetenawee, Walaa, Eo, Yun, Fan, Ka Yan, Fan, Kuanjun, Fan, Yunyun, Fang, Bo, Fang, Shuangshi, Fang, Yuquan, Farilla, Ada, Farinelli, Riccardo, Farooq, Muhammad, Golfe, Angeles Faus, Fazliakhmetov, Almaz, Fei, Rujun, Feng, Bo, Feng, Chong, Feng, Junhua, Feng, Xu, Feng, Zhuoran, ZhuoranFeng, Castillo, Luis Roberto Flores, Forest, Etienne, Fowlie, Andrew, Fox, Harald, Fu, Hai-Bing, Fu, Jinyu, Fuks, Benjamin, Funakoshi, Yoshihiro, Gabrielli, Emidio, Gan, Nan, Gang, Li, Gao, Jie, Gao, Meisen, Gao, Wenbin, Gao, Wenchun, Gao, Yu, Gao, Yuanning, Gao, Zhanxiang, Gao, Yanyan, Ge, Kun, Ge, Shao-Feng, Ge, Zhenwu, Geng, Li-Sheng, Geng, Qinglin, Geng, Chao-Qiang, Ghosh, Swagata, Gioiosa, Antonio, Gladilin, Leonid, Gong, Ti, Gori, Stefania, Gou, Quanbu, Grinstein, Sebastian, Gu, Chenxi, Guillermo, Gerardo, da Costa, Joao Guimaraes, Guo, Dizhou, Guo, Fangyi, Guo, Jiacheng, Guo, Jun, Guo, Lei, Guo, Lei, Guo, Xia, Guo, Xin-Heng, Guo, Xinyang, Guo, Yun, Guo, Yunqiang, Guo, Yuping, Guo, Zhi-Hui, Gutie´rrez-Rodríguez, Alejandro, Ha, Seungkyu, Habib, Noman, Hajer, Jan, Hammer, Francois, Han, Chengcheng, Han, Huayong, Han, Jifeng, Han, Liang, Han, Liangliang, Han, Ruixiong, Han, Yang, Han, Yezi, Han, Yuanying, Han, Tao, Hao, Jiankui, Hao, Xiqing, XiqingHao, He, Chuanqi, He, Dayong, He, Dongbing, He, Guangyuan, He, Hong-Jian, He, Jibo, He, Jun, He, Longyan, He, Xiang, He, Xiao-Gang, He, Zhenqiang, Heinemann, Klaus, Heinemeyer, Sven, Heng, Yuekun, Herna´ndez-Ruíz, María A., Hong, Jiamin, Hor, Yuenkeung, Hou, George W. S., Hou, Xiantao, Hou, Xiaonan, Hou, Zhilong, Hou, Suen, Hu, Caishi, Hu, Chen, Hu, Dake, Hu, Haiming, Hu, Jiagen, Hu, Jun, Hu, Kun, Hu, Shouyang, Hu, Yongcai, Hu, Yu, Hu, Zhen, Hua, Zhehao, Hua, Jianfei, Huang, Chao-Shang, Huang, Fa Peng, Huang, Guangshun, Huang, Jinshu, Huang, Ke, Huang, Liangsheng, Huang, Shuhui, Huang, Xingtao, Huang, Xu-Guang, Huang, Yanping, Huang, Yonggang, Huang, Yongsheng, Huang, Zimiao, Huanyuan, Chen, Huh, Changgi, Hui, Jiaqi, Huo, Lihua, Hussain, Talab, Hwang, Kyuyeong, Ioannisian, Ara, Iqbal, Munawar, Jackson, Paul, Jafarzade, Shahriyar, Jang, Haeun, Jang, Seoyun, Ji, Daheng, Ji, Qingping, Ji, Quan, Ji, Xiaolu, Jia, Jingguang, Jia, Jinsheng, Jia, Xuewei, Jia, Zihang, Jiang, Cailian, Jiang, Han Ren, Jiang, Houbing, Jiang, Jun, Jiang, Xiaowei, Jiang, Xin, Jiang, Xuhui, Jiang, Yongcheng, Jiang, Zhongjian, Jiang, Cheng, Jiao, Ruiqi, Jin, Dapeng, Jin, Shan, Jin, Song, Jin, Yi, Jis, Junji, Jung, Sunghoon, Kacarevic, Goran, Kajfasz, Eric, Kalinovskaya, Lidia, Kampf, Aleksei, Kang, Wen, Kang, Xian-Wei, Kang, Xiaolin, Karmakar, Biswajit, Ke, Zhiyong, Keloth, Rijeesh, Khan, Alamgir, Khanpour, Hamzeh, Khosonthongkee, Khanchai, KhanchaiKhosonthongkee, Kim, Bobae, Kim, Dongwoon, Kim, Mi Ran, Kim, Minsuk, Kim, Sungwon, Kim, On, Klasen, Michael, Ko, Sanghyun, Koop, Ivan, Kornienko, Vitaliy, Kortman, Bryan, Kozlov, Gennady, Kuang, Shiqing, Kumar, Mukesh, Kuo, Chia Ming, Kwok, Tsz Hong, Lagarde, Franc¸ois Sylvain Ren, Lai, Pei-Zhu, Laktineh, Imad, Lan, Xiaofei, Lan, Zuxiu, Lavezzi, Lia, Lee, Justin, Lee, Junghyun, Lee, Sehwook, Lei, Ge, Lemmon, Roy, Leng, Yongxiang, Leung, Sze Ching, Li, Hai Tao, Li, Bingzhi, Li, Bo, Li, Bo, Li, Changhong, Li, Chao, Li, Cheng, Li, Cheng, Li, Chunhua, Li, Cui, Li, Dazhang, Li, Dikai, Li, Fei, Li, Gang, Li, Gang, Li, Gang, Li, Gaosong, Li, Haibo, Li, Haifeng, Li, Hai-Jun, Li, Haotian, Li, Hengne, Li, Honglei, Li, Huijing, Li, Jialin, Li, Jingyi, Li, Jinmian, Li, Jun, Li, Leyi, Li, Liang, Li, Ling, Li, Mei, Li, Meng, Li, Minxian, Li, Pei-Rong, Li, Qiang, Li, Shaopeng, Li, Shenghe, Li, Shu, Li, Shuo, Li, Teng, Li, Tiange, Li, Tong, Li, Weichang, Li, Weidong, Li, Wenjun, Li, Xiaoling, Li, Xiaomei, Li, Xiaonan, Li, Xiaoping, Li, Xiaoting, Li, Xin, Li, Xinqiang, Li, Xuekang, Li, Yang, Li, Yanwei, Li, Yiming, Li, Ying, Li, Ying-Ying, Li, Yonggang, Li, Yonglin, Li, Yufeng, Li, Yuhui, Li, Zhan, Li, Zhao, Li, Zhiji, Li, Tong, Li, Lingfeng, Li, Fei, Liang, Jing, Liang, Jinhan, Liang, Zhijun, Liao, Guangrui, Liao, Hean, Liao, Jiajun, Liao, Libo, Liao, Longzhou, Liao, Yi, Liao, Yipu, Limphirat, Ayut, AyutLimphirat, Lin, Tao, Lin, Weiping, Lin, Yufu, Lin, Yugen, Liu, Beijiang, Liu, Bo, Liu, Danning, Liu, Dong, Liu, Fu-Hu, Liu, Hongbang, Liu, Huangcheng, Liu, Hui, Liu, Huiling, Liu, Jia, Liu, Jia, Liu, Jiaming, Liu, Jianbei, Liu, Jianyi, Liu, Jingdong, Liu, Jinhua, Liu, Kai, Liu, Kang, Liu, Kun, Liu, Mengyao, Liu, Peng, Liu, Pengcheng, Liu, Qibin, Liu, Shan, Liu, Shidong, Liu, Shuang, Liu, Shubin, Liu, Tao, Liu, Tao, Liu, Tong, Liu, Wei, Liu, Xiang, Liu, Xiao-Hai, Liu, Xiaohui, Liu, Xiaoyu, Liu, Xin, Liu, Xinglin, Liu, Xingquan, Liu, Yang, Liu, Yanlin, Liu, Yao-Bei, Liu, Yi, Liu, Yiming, Liu, Yong, Liu, Yonglu, Liu, Yu, Liu, Yubin, Liu, Yudong, Liu, Yulong, Liu, Zhaofeng, Liu, Zhen, Liu, Zhenchao, Liu, Zhi, Liu, Zhi-Feng, Liu, Zhiqing, Liu, Zhongfu, Liu, Zuowei, Liu, Mia, Liu, Zhen, Liu, Xiaoyang, Lou, Xinchou, Lu, Cai-Dian, Lu, Jun-Xu, Lu, Qiu Zhen, Lu, Shang, Lu, Shang, Lu, Wenxi, Lu, Xiaohan, Lu, Yunpeng, Lu, Zhiyong, Lu, Xianguo, Lu, Wei, Lubsandorzhiev, Bayarto, Lubsandorzhiev, Sultim, Lukanov, Arslan, Luo, Jinliang, Luo, Tao, Luo, xiaoan, Luo, Xiaofeng, Luo, Xiaolan, Lv, Jindong, Lyu, Feng, Lyu, Xiao-Rui, Lyu, Kun-Feng, Ma, Ande, Ma, Hong-Hao, Ma, Jun-Li, Ma, Kai, Ma, Lishuang, Ma, Na, Ma, Renjie, Ma, Weihu, Ma, Xinpeng, Ma, Yanling, Ma, Yan-Qing, Ma, Yongsheng, Ma, Zhonghui, Ma, Zhongjian, Ma, Yang, Maity, Mousam, Mao, Lining, Mao, Yanmin, Mao, Yaxian, Martens, Aure´lien, Maria, Caccia Massimo Luigi, Matsumoto, Shigeki, Mellado, Bruce, Meloni, Davide, Men, Lingling, Meng, Cai, Meng, Lingxin, Mi, Zhenghui, Miao, Yuhui, Migliorati, Mauro, Ming, Lei, Mitsou, Vasiliki A., Monaco, Laura, Moraes, Arthur, Mosala, Karabo, Moursy, Ahmad, Mu, Lichao, Mu, Zhihui, Muchnoi, Nickolai, Muenstermann, Daniel, Muenstermann, Daniel, Munbodh, Pankaj, Murray, William John, Nanni, Jérôme, Nanzanov, Dmitry, Nie, Changshan, Nikitin, Sergei, Ning, Feipeng, Ning, Guozhu, Niu, Jia-Shu, Niu, Juan-Juan, Niu, Yan, Nkadimeng, Edward Khomotso, Ohmi, Kazuhito, Oide, Katsunobu, Okawa, Hideki, Ouchemhou, Mohamed, Ouyang, Qun, Paesani, Daniele, Pagani, Carlo, Paganis, Stathes, Pakuza, Collette, Pan, Jiangyang, Pan, Juntong, Pan, Tong, Pan, Xiang, Panda, Papia, Pandey, Saraswati, Pandurovic, Mila, Paparella, Rocco, Pasechnik, Roman, Passemar, Emilie, Pei, Hua, Peng, Xiaohua, Peng, Xinye, Peng, Yuemei, Ping, Jialun, Ping, Ronggang, Adhya, Souvik Priyam, Qi, Baohua, Qi, Hang, Qi, Huirong, Qi, Ming, Qian, Sen, Qian, Zhuoni, Qiao, Congfeng, Qin, Guangyou, Qin, Jiajia, Qin, Laishun, Qin, Liqing, Qin, Qin, Qin, Xiaoshuai, Qin, Zhonghua, Qu, Guofeng, Racioppi, Antonio, Ramsey-Musolf, Michael, Raza, Shabbar, Rekovic, Vladimir, Ren, Jing, Reuter, Ju¨rgen, Robens, Tania, Rossi, Giancarlo, Ruan, Manqi, Ruan, Manqi, Rumyantsev, Leonid, Ryu, Min Sang, Sadykov, Renat, Sang, Minjing, Sanz-Cillero, Juan Jose´, Saur, Miroslav, Savla, Nishil, Schmidt, Michael A., Sertore, Daniele, Settles, Ron, Sha, Peng, Shao, Ding-Yu, Shao, Ligang, Shao, Hua-Sheng, She, Xin, Shen, Chuang, Shen, Hong-Fei, Shen, Jian-Ming, Shen, Peixun, Shen, Qiuping, Shen, Zhongtao, Sheng, Shuqi, Shi, Haoyu, Shi, Hua, Shi, Qi, Shi, Shusu, Shi, Xiaolei, Shi, Xin, Shi, Yukun, Shi, Zhan, Shipsey, Ian, Shiu, Gary, Shu, Chang, Si, Zong-Guo, Sidorenkov, Andrei, Smiljanić, Ivan, Song, Aodong, Song, Huayang, Song, Jiaojiao, Song, Jinxing, Song, Siyuan, Song, Weimin, Song, Weizheng, Song, Zhi, Sourav, Shashwat, Spruzzola, Paolo, Su, Feng, Su, Shengsen, Su, Wei, Su, Shufang, Sui, Yanfeng, Sui, Zexuan, Sullivan, Michael, Sun, Baiyang, Sun, Guoqiang, Sun, Hao, Sun, Hao-Kai, Sun, Junfeng, Sun, Liang, Sun, Mengcheng, Sun, Pengfei, Sun, Sichun, Sun, Xianjing, Sun, Xiaohu, Sun, Xilei, Sun, Xingyang, Sun, Xin-Yuan, Sun, Yanjun, Sun, Yongzhao, Sun, Yue, Sun, Zheng, Sun, Zheng, Suwonjandee, Narumon, Eldin, Elsayed Tag, Tan, Biao, Tang, Bo, Tang, Chuanxiang, Tang, Gao, Tang, Guangyi, Tang, Jian, Tang, Jingyu, Tang, Liang, Tang, Ying’Ao, Tao, Junquan, Tawfik, Abdel Nasser, Taylor, Geoffrey, Telnov, Valery, Tian, Saike, Torre, Riccardo, Trzaska, Wladyslaw Henryk, Tsybychev, Dmitri, Tu, Yanjun, Tuo, Shengquan, Tytgat, Michael, Islam, Ghalib Ul, Ushakov, Nikita, Valencia, German, Velthuis, Jaap, Vicini, Alessandro, Vickey, Trevor, Vidakovic, Ivana, Videau, Henri, Volkas, Raymond, Voronin, Dmitry, Vukasinovic, Natasa, Wan, Xia, Wan, Xuying, Wang, Xiao, Wang, Anqing, Wang, Bin, Wang, Chengtao, Wang, Chuanye, Wang, Ci, Wang, Dayong, Wang, Dou, Wang, En, Wang, Fei, Wang, Fei, Wang, Guanwen, Wang, Guo-Li, Wang, Haijing, Wang, Haolin, Wang, Jia, Wang, Jian, Wang, Jianchun, Wang, Jianli, Wang, Jiawei, Wang, Jin, Wang, Jin-Wei, Wang, Joseph, Wang, Kechen, Wang, Lechun, Wang, Lei, Wang, Liguo, Wang, Lijiao, Wang, Lu, Wang, Meng, Wang, Na, Wang, Pengcheng, Wang, Qian, Wang, Qun, Wang, Shu Lin, Wang, Shudong, Wang, Taofeng, Wang, Tianhong, Wang, Tianyang, Wang, Tong, Wang, Wei, Wang, Wei, Wang, Xiaolong, Wang, Xiaolong, Wang, Xiaoning, Wang, Xiao-Ping, Wang, Xiongfei, Wang, Xujian, Wang, Yaping, Wang, Yaqian, Wang, Yi, Wang, Yiao, Wang, Yifang, Wang, Yilun, Wang, Yiwei, Wang, You-Kai, Wang, Yuanping, Wang, Yuexin, Wang, Yuhao, Wang, Yu-Ming, Wang, Yuting, Wang, Zhen, Wang, Zhigang, Wang, Weiping, Wang, Zeren Simon, Wang, Biao, Wang, Hui, Wang, Lian-Tao, Wang, Zihui, Wang, Zirui, Wang, Jia, Wang, Tong, Wei, Daihui, Wei, Shujun, Wei, Wei, Wei, Xiaomin, Wei, Yuanyuan, Wei, Yingjie, Wen, Liangjian, Wen, Xuejun, Wen, Yufeng, White, Martin, Williams, Peter, Wolffs, Zef, Womersley, William John, Wu, Baona, Wu, Bobing, Wu, Guanjian, Wu, Jinfei, Wu, Lei, Wu, Lina, Wu, Linghui, Wu, Minlin, Wu, Peiwen, Wu, Qi, Wu, Qun, Wu, Tianya, Wu, Xiang, Wu, Xiaohong, Wu, Xing-Gang, Wu, Xuehui, Wu, Yaru, Wu, Yongcheng, Wu, Yuwen, Wu, Zhi, Wu, Xin, Xia, Lei, Xia, Ligang, Xia, Shang, Xiang, Benhou, Xiang, Dao, Xiang, Zhiyu, Xiao, Bo-Wen, Xiao, Chu-Wen, Xiao, Dong, Xiao, Guangyan, Xiao, Han, Xiao, Meng, Xiao, Ouzheng, Xiao, Rui-Qing, Xiao, Xiang, Xiao, Yichen, Xiao, Ying, Xiao, Yu, Xiao, Yunlong, Xiao, Zhenjun, Xiao, Hengyuan, Xie, Nian, Xie, Yuehong, Xin, Tianmu, Xing, Ye, Xing, Zhizhong, Xu, Da, Xu, Fang, Xu, Fanrong, Xu, Haisheng, Xu, Haocheng, Xu, Ji, Xu, Miaofu, Xu, Qingjin, Xu, Qingnian, Xu, Wei, Xu, Wei, Xu, Weixi, Xu, Xinping, Xu, Zhen, Xu, Zijun, Xu, Zehua, Xu, Yaoyuan, Xue, Feifei, Yan, Baojun, Yan, Bin, Yan, Fen, Yan, Fucheng, Yan, Jiaming, Yan, Liang, Yan, Luping, Yan, Qi-Shu, Yan, Wenbiao, Yan, Yupeng, Yan, Luping, Yan, Haoyue, Yang, Dong, Yang, Fengying, Yang, Guicheng, Yang, Haijun, Yang, Jin Min, Yang, Jing, Yang, Lan, Yang, Li, Yang, Li Lin, Yang, Lili, Yang, Litao, Yang, Mei, Yang, Qiaoli, Yang, Tiansen, Yang, Xiaochen, Yang, Yingjun, Yang, Yueling, Yang, Zhengyong, Yang, Zhenwei, Yang, Youhua, Yang, Xiancong, Yao, De-Liang, Yao, Shi, Ye, Lei, Ye, Lingxi, Ye, Mei, Ye, Rui, Ye, Rui, Ye, Yecheng, Yermolchyk, Vitaly, Yi, Kai, Yi, Li, Yi, Yang, Yin, Di, Yin, Peng-Fei, Yin, Shenghua, Yin, Ze, Yin, Zhongbao, Yinhong, Zhang, Yoo, Hwi Dong, You, Zhengyun, Young, Charles, Yu, Boxiang, Yu, Chenghui, Yu, Fusheng, Yu, Jie-Sheng, Yu, Jinqing, Yu, Lingda, Yu, Zhao-Huan, Yu, Felix, Yu, Bingrong, Yuan, Changzheng, Yuan, Li, Yuan, Xing-Bo, Yuan, Youjin, Yue, Junhui, Yue, Qian, Yue, Baobiao, Zaib, Un Nisa, Zanzottera, Riccardo, Zeng, Hao, Zeng, Ming, Zhai, Jian, Zhai, Jiyuan, Zhai, Xin Zhe, Zhan, Xi-Jie, Zhang, Ben-Wei, Zhang, Bolun, Zhang, Di, Zhang, Guangyi, Zhang, Hao, Zhang, Hong-Hao, Zhang, Huaqiao, Zhang, Hui, Zhang, Jialiang, Zhang, Jianyu, Zhang, Jianzhong, Zhang, Jiehao, Zhang, Jielei, Zhang, Jingru, Zhang, Jinxian, Zhang, Junsong, Zhang, Junxing, Zhang, Lei, Zhang, Lei, Zhang, Liang, Zhang, Licheng, Zhang, Liming, Zhang, Linhao, Zhang, Luyan, Zhang, Mengchao, Zhang, Rao, Zhang, Shulei, Zhang, Wan, Zhang, Wenchao, Zhang, Xiangzhen, Zhang, Xiaomei, Zhang, Xiaoming, Zhang, Xiaoxu, Zhang, Xiaoyu, Zhang, Xuantong, Zhang, Xueyao, Zhang, Yang, Zhang, Yang, Zhang, Yanxi, Zhang, Yao, Zhang, Ying, Zhang, Yixiang, Zhang, Yizhou, Zhang, Yongchao, Zhang, Yu, Zhang, Yuan, Zhang, Yujie, Zhang, Yulei, Zhang, Yumei, Zhang, Yunlong, Zhang, Zhandong, Zhang, Zhaoru, Zhang, Zhen-Hua, Zhang, Zhenyu, Zhang, Zhichao, Zhang, Zhi-Qing, Zhang, Zhuo, Zhang, Zhiqing, Zhang, Cong, Zhang, Tianliang, Zhang, Luyan, Zhao, Guang, Zhao, Hongyun, Zhao, Jie, Zhao, Jingxia, Zhao, Jingyi, Zhao, Ling, Zhao, Luyang, Zhao, Mei, Zhao, Minggang, Zhao, Mingrui, Zhao, Qiang, Zhao, Ruiguang, Zhao, Tongxian, Zhao, Yaliang, Zhao, Ying, Zhao, Yue, Zhao, Zhiyu, Zhao, Zhuo, Zhemchugov, Alexey, Zheng, Hongjuan, Zheng, Jinchao, Zheng, Liang, Zheng, Ran, zheng, shanxi, Zheng, Xu-Chang, Zhile, Wang, Zhong, Weicai, Zhong, Yi-Ming, Zhou, Chen, Zhou, Daicui, Zhou, Jianxin, Zhou, Jing, Zhou, Jing, Zhou, Ning, Zhou, Qi-Dong, Zhou, Shiyu, Zhou, Shun, Zhou, Sihong, Zhou, Xiang, Zhou, Xingyu, Zhou, Yang, Zhou, Yong, Zhou, Yu-Feng, Zhou, Zusheng, Zhou, Demin, Zhu, Dechong, Zhu, Hongbo, Zhu, Huaxing, Zhu, Jingya, Zhu, Kai, Zhu, Pengxuan, Zhu, Ruilin, Zhu, Xianglei, Zhu, Yingshun, Zhu, Yongfeng, Zhuang, Xiao, Zhuang, Xuai, Zobov, Mikhail, Zong, Zhanguo, Zou, Cong, and Zou, Hongying

Published
2024
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16. A Robust Approach for Geo-Electromagnetic Sounding Data Inversion Using l1-Norm Misfit and Adaptive Moment Estimation

Author

Liu, Yunhe, Ma, Xinpeng, Wang, Luyuan, Yin, Changchun, Ren, Xiuyan, Zhang, Bo, and Su, Yang

Abstract

The choice of data misfit measure has a great impact on the convergence of electromagnetic (EM) inversion. The conventional measure based on the $l_{2}$ -norm tends to excessively amplify the weights of a larger misfit, inadvertently neglecting data with a smaller misfit during the inversion process, thereby diminishing the resolution to a certain degree. To solve this problem, we propose a robust inversion strategy based on $l_{1}$ -norm data misfit and adaptive moment estimation (Adam). In this scheme, we use the Ekblom-type $l_{1}$ -norm to simplify the derivative computation of the absolute value function. The Adam algorithm is further applied to optimize this type of non-smooth objective function, which incorporates momentum terms and adaptive steps, allowing it to better adapt to the irregularities in gradient changes. The inversion results obtained from both synthetic models and field measurements demonstrate that the Adam method performs considerably better than the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method for optimizing the $l_{1}$ - $l_{2}$ norm of the objective function. Compared with the conventional ${l} _{2}$ -norm data misfit, the $l_{1}$ -norm data misfit can effectively avoid excessive optimization of data with large misfits and achieve high-resolution inversion results.

Published
2024
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17. Gradient filtering regularization for 3-D MT inversion based on unstructured tetrahedral discretization.

Author

Rong, Zhihao, Liu, Yunhe, Yin, Changchun, Ma, Xinpeng, Wang, Luyuan, Qiu, Changkai, Zhang, Bo, Ren, Xiuyan, and Su, Yang

Subjects
UNDERGROUND construction, SMOOTHING (Numerical analysis), CENTROID, TETRAHEDRA, ELECTROMAGNETIC theory, INTERPOLATION
Abstract

We propose a novel smoothing regularization scheme for 3-D magnetotelluric (MT) inversion based on unstructured tetrahedral discretization. Different from conventional methods that explicitly add smoothing constraints to model parameters, we choose to do the gradient filtering to smooth the model updates in an implicit way. By transforming the model into a constraint domain, the gradient of the objective function for the parameters in the new domain can be taken as a product of transpose of inverse transformation operator and the conventional gradient. Since the transpose of inverse transformation is designed to be an inverse distance interpolation operator for each tetrahedron, the data fitting term in the gradient can be smoothed in a filtering-like process. We compare our new strategy with the conventional explicit smoothing ones by testing on synthetic data for different noise levels, initial models and regularization factors. The numerical results show that suffering from the unequal volume and random centroid location of adjacent tetrahedrons, the inversion results of conventional methods often demonstrate scattered structures in slices. In contrast, our new method recovers the model in a smooth way and the convergence speed is largely improved. Finally, we adopt the USArray data for further testing and find that comparing to conventional inversion methods, our new strategy can provide more reliable underground structures with better data fitting. [ABSTRACT FROM AUTHOR]

Published
2023
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23. Short-term effects of different fertilization measures on water-stable aggregates and carbon and nitrogen of tea garden soil

Author

Huang Shengjie, Chen Junpu, Ma Xinpeng, Guo Wentao, Yang Liu, Chen Yi’an, and Huang Chengyi

Subjects
Environmental sciences, GE1-350
Abstract

In order to study the effects of different fertilization measures on spring tea soil in Southwest Sichuan, five treatments were set up, including no fertilization (CK), full chemical nitrogen fertilizer (CN), 50% nitrogen fertilizer +30% organic fertilizer +20% green fertilizer + microbial fertilizer (NOGM), 50% nitrogen fertilizer +30% organic fertilizer +20% green fertilizer (NOG), 50% nitrogen fertilizer +50% organic fertilizer + microbial fertilizer (NOM). Through the determination of the distribution, organic carbon and total nitrogen content of water stable aggregates, calculated the aggregate stability and carbon and nitrogen contribution rate. The results showed that :(1) compared with CK, fertilization could improve the organic carbon and total nitrogen of soil and the organic carbon and total nitrogen of the aggregates of all sizes. Different fertilization measures had different effects on the distribution of aggregates, but compared with CK, fertilization effectively promoted the stability of aggregates. Fertilization can obviously increased the content of organic carbon and total nitrogen in large aggregates. The contribution rate of organic carbon and total nitrogen in aggregates was mainly from macroaggregates, while that from micro-aggregates was very low. NOGM and NOM were better than other fertilization measures.

Published
2020
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26. Simulation of Seismoelectric Waves Using Time-Domain Finite-Element Method in 2D PSVTM Mode.

Author

Li, Jun, Yin, Changchun, Liu, Yunhe, Wang, Luyuan, and Ma, Xinpeng

Subjects
FINITE element method, MAXWELL equations, HYDROCARBON reservoirs, FINITE difference time domain method, COMPUTATIONAL electromagnetics, HYDROCARBON analysis, DISCRETIZATION methods, SEISMIC waves
Abstract

The study of the numerical simulation of seismoelectric effects is very helpful for understanding the theory and mechanism of seismoelectric activities. Quasi-static approximation is widely used in the numerical simulation of seismoelectric fields. However, numerical errors occur when the model domain is not within the near-field area of EM waves or the medium is of high salinity. To solve this problem, we propose a time-domain finite-element algorithm (FETD) based on the full-wave electromagnetic (EM) equation to simulate seismoelectric waves in 2D PSVTM mode. By decomposing the electrokinetic coupling equations into two independent ones, we can solve the seismoelectric waves separately. In our implementation, we focus our attention on the solution of EM waves based on vector–scalar potentials, while using the open-source code SPECFEM2D to explicitly solve Biot's equations and obtain the relative fluid–solid displacement, which is taken as the source for the complete Maxwell's equations. In the solution of EM wave fields, we use an unconditionally stable implicit method for time discretization. Computation efficiency can be improved by combining explicit and implicit recursions. After conducting the mathematical formulation, we first validate our method by comparing its results with the analytic solutions for a half-space and a two-layer model, as well as with a quasi-static approximation method. Moreover, we run numerical simulations and wavefield analyses on an elliptical hydrocarbon reservoir, and reveal that the interface responses are promising for the identification of underground interfaces and hydrocarbon reservoir exploration. [ABSTRACT FROM AUTHOR]

Published
2023
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29. Estimation of fluid salinity using coseismic electric signal generated by an earthquake.

Author

Ma, Xinpeng, Liu, Yunhe, Yin, Changchun, Zhang, Bo, and Ren, Xiuyan

Subjects
*ELECTRIC double layer, *SALINITY, *PETROPHYSICS, *ELECTROMAGNETIC fields, *ELECTRIC fields, *POROUS materials, *SATURATION (Chemistry)
Abstract

The seismoelectric effect is a coupling phenomenon between the seismic wavefield and electromagnetic field caused by the electric double layer in a fluid-saturated porous medium. As seismoelectric signals are sensitive to porous medium properties, such as the water saturation, salinity, porosity and permeability, they have good potential for imaging the structure and estimating underground parameters. In this study, we proposed an inversion method for estimating the salinity using coseismic electric fields generated by electrokinetic effects. The method was established by waveform matching between synthetic and observed coseismic electric signals based on a horizontally layered model. We used an L1 norm measure to construct the regularization term and achieve a high-resolution layer interface. Subsequently, we applied the first-order Taylor expansion to estimate the sensitivity and used logarithm transformation to constrain the range of parameters and reduce the solution space. Finally, we used an iteratively reweighted least-squares method to solve the final Gauss–Newton-type inversion function in each iteration to obtain the model update until the inversion converged. Numerical experiments were conducted to test the resolution, anti-noise ability and stability of the inversion algorithm. These results demonstrate that the proposed method can effectively recover the salinity structure, which broadens the application of seismoelectric effects. We further applied the method to the M w 6.5 Jiuzhaigou earthquake in 2017 and used the observed coseismic electric field to estimate the salinity and conductivity beneath the station. [ABSTRACT FROM AUTHOR]

Published
2023
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32. Optimization of Automatic Control and Measurement for the HEPS Large-Scale High-Power RF Conditioning Test

Author

JINGDONG, Jingdong, Gan, Nan, He, Xiang, Li, Jingyi, He, Dayong, Zhou, Zusheng, Zhang, Jinru, Ma, Xinpeng, Li, Xiaoping, Meng, Cai, Li, Fei, Xiao, Ouzheng, and Shi, Hua

Abstract

High power radio frequency (RF) conditioning is a key step for the RF components to gain full performance. In the construction of high energy photon source (HEPS), upgrading Beijing Electron-Positron Collider (BEPCII), preresearch of circular electron positron collider (CEPC), and other projects at Institute of High Energy Physics (IHEP), there will be a lot of RF conditioning tasks within a very tight schedule. To improve the conditioning efficiency, an optimized automatic control has been developed. The automatic control system is developed based on the Experimental Physics and Industrial Control System (EPICS). The control hardware platform adopts a combination of the Micro Telecom Computing Architecture (MTCA) based low-level control and programmable logic controller (PLC) interlocking unit, which integrates a variety of measurements to ensure safe and reliable unattended operations during high-power (up to 160 MW) and high gradient (up to 33 MV/m) testing. The finite state transfer based on multiple event-triggered interrupt processes is used to improve conditioning efficiency. Taking the conditioning of the HEPS 3-m-long acceleration structure as an example, the breakdown rate (BDR) at high power is less than one out of 180 000 pulses. The time consumed for each accelerating structure is reduced by a factor of nearly 2/3. Experiments show that the system realizes the unattended operation of whole process, and improves conditioning efficiency.

Published
2023
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35. Thermal Coefficient of Delay Measurement of the New Phase Stable Optical Fiber

Author

Liu, Jiaji, Ma, Xinpeng, and Pei, Guoxi

Subjects
Physics::Optics, 5. Longitudinal diagnostic and synchronization, Accelerator Physics
Abstract

The Thermal Coefficient of Delay (TCD) is an essen-tial parameter of optical fiber which determines a fiber’s phase transfer stability due to temperature variation. The TCD of a new phase stable single mode optical fiber (YPSOC) from Yangtze Optical Fibre and Cable Compa-ny (YOFC) is measured. The radio frequency (RF) signal is modulated to optical wave by a laser module which is transmitted through the 400-meter long YPSOC to be measured. The returned optical wave is demodulated to RF signal by the photodetector. A phase detector and a data acquisition module (DAQ) are used to acquire the phase difference between the forward and returned sig-nals. Two temperature-stabilized cabinets are designed to maintain and control the ambient temperature of the measurement system. The TCD of less than 10ps/km/K at room temperature is obtained. YPSOC and the meas-urement platform can be applied on signal transmission or measurement system that need to compensate the temperature drift., Proceedings of the 7\textsuperscript{th} Int. Beam Instrumentation Conf., IBIC2018, Shanghai, China

Published
2019
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37. Rapid prediction of multiple wine quality parameters using infrared spectroscopy coupling with chemometric methods

Author

Chen Tang, Pang Jiafeng, Li Yankun, Yuxuan Shu, Dong Runan, and Ma Xinpeng

Subjects
Wine, 0303 health sciences, 030309 nutrition & dietetics, business.industry, 010401 analytical chemistry, Feature selection, Pattern recognition, Linear discriminant analysis, 01 natural sciences, Least squares, 0104 chemical sciences, Support vector machine, 03 medical and health sciences, Partial least squares regression, Principal component regression, Variable elimination, Artificial intelligence, business, Food Science, Mathematics
Abstract

Infrared spectroscopy (IRs) coupling with chemometric methods were used to predict principal quality parameters in wine. A new strategy of variable (wavelength) selection named as Fisher Discriminant-Variable Selection (FD-VS) model was constructed. Characteristic variables were selected from Infrared spectra based on the absolute values of eigenvector obtained by Fisher Discriminant Function. The FD-VS method was combined with quantitative models including Principal Component Regression (PCR), Partial Least Squares (PLS) and Least Squares Support Vector Regression (LSSVR), which were utilized for prediction of multiple principal quality parameters of red wine. It is shown that FD-VS method obviously improves the performances of PCR, PLS and LSSVR models. Then four variable selection methods based on PLS regression including Competitive Adaptive Reweighted Sampling (CARS)-PLS, Uninformative Variable Elimination (UVE)-PLS, Interval Partial Least Squares (IPLS) and Moving Windows Partial Least Squares (MWPLS) were also compared. The results also show good performance of FD-VS-LSSVR in terms of prediction accuracy or robustness. Therefore, the FD-VS method provides an effective and credible variable selection way for IR spectrum to predict quality parameters of wine.

Published
2020
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38. Short-term effects of different fertilization measures on water-stable aggregates and carbon and nitrogen of tea garden soil

Author

Guo Wentao, Huang Shengjie, Ma Xinpeng, Chen Junpu, Huang Chengyi, Yi’an Chen, and Liu Yang

Subjects
lcsh:GE1-350, Total organic carbon, Chemistry, chemistry.chemical_element, 04 agricultural and veterinary sciences, 02 engineering and technology, Tea garden, engineering.material, 021001 nanoscience & nanotechnology, Nitrogen, Human fertilization, Nitrogen fertilizer, Agronomy, 040103 agronomy & agriculture, engineering, 0401 agriculture, forestry, and fisheries, Fertilizer, 0210 nano-technology, Carbon, Organic fertilizer, lcsh:Environmental sciences
Abstract

In order to study the effects of different fertilization measures on spring tea soil in Southwest Sichuan, five treatments were set up, including no fertilization (CK), full chemical nitrogen fertilizer (CN), 50% nitrogen fertilizer +30% organic fertilizer +20% green fertilizer + microbial fertilizer (NOGM), 50% nitrogen fertilizer +30% organic fertilizer +20% green fertilizer (NOG), 50% nitrogen fertilizer +50% organic fertilizer + microbial fertilizer (NOM). Through the determination of the distribution, organic carbon and total nitrogen content of water stable aggregates, calculated the aggregate stability and carbon and nitrogen contribution rate. The results showed that :(1) compared with CK, fertilization could improve the organic carbon and total nitrogen of soil and the organic carbon and total nitrogen of the aggregates of all sizes. Different fertilization measures had different effects on the distribution of aggregates, but compared with CK, fertilization effectively promoted the stability of aggregates. Fertilization can obviously increased the content of organic carbon and total nitrogen in large aggregates. The contribution rate of organic carbon and total nitrogen in aggregates was mainly from macroaggregates, while that from micro-aggregates was very low. NOGM and NOM were better than other fertilization measures.

Published
2020
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40. Development of the C-ADS SRF Accelerator at IHEP

Author

Yan, Fang, Bian, Lin, Cao, Jianshe, Chen, Yuan, Chi, Yunlong, Dai, Jianping, Dong, Lan, Dong, Linglang, Du, Yaoyao, Feisi, He, Gao, Yao, Ge, Rui, Geng, Huiping, Guo, Dizhou, He, Da-Yong, He, Jun, Huang, Tong-Ming, Jing, Xiaping, Li, Bo, Li, Heng, Li, Jungan, Li, Shaopeng, Lin, Haiying, Liu, Fang, Liu, Rong, Long, Fengli, Lu, Yan, Ma, Huizhou, Ma, Qiang, Ma, Xinpeng, Meng, Cai, Mi, Zheng, Ouyang, Huafu, Pan, Weimin, Pei, Shilun, Peng, Quanling, Peng, Xiaohua, Sha, Peng, Shi, Hua, Su, Ping, Sui, Yanfeng, Sun, Liangrui, Sun, Xitong, Wang, Guangwei, Wang, Jianli, Wang, Shengchang, Wu, Gang, Xiao, Ouzheng, Yang, Xiangchen, Ye, Qiang, Ye, Rui, Yu, Lingda, Zhang, Xinying, Zhao, Xiaoyan, Zhao, Yaliang, Zhao, Ying, ZhenHua, Hou, Zhou, Ningchuang, Zhou, Zusheng, and Zhu, Hongyan

Subjects
Projects/Facilities, Accelerator Physics
Abstract

The 10 MeV accelerator-driven subcritical system (ADS) Injector I test stand at Institute of High Energy Physics (IHEP) is a testing facility dedicated to demonstrate one of the two injector design schemes [Injector Scheme-I, which works at 325 MHz], for the ADS project in China. The ion source was installed since April of 2014, periods of commissioning are regularly scheduled between installation phases of the rest of the injector. Early this year, continuous wave (CW) proton beam has been successfully obtained with energy of 10MeV and average beam current around 2 mA, the single spoke cavities with smallest developed beta (βg=0.12) were applied and successfully commissioned. Single spoke cavities with higher beta (βg=0.21) were also adopted for the last cryomodule of 25MeV proton linac, and 170uA CW proton beam were shooting through recently. This contribution reports the details of the development of the C-ADS SRF accelerator at IHEP and the challenges of the CW machine commissioning, Proceedings of the 18th Int. Conf. on RF Superconductivity, SRF2017, Lanzhou, China

Published
2018
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41. Application of Solid State Amplifiers in ADS Project at IHEP

Author

Xiao, Ouzheng, Chi, Yunlong, Gan, Nan, Ma, Xinpeng, and Zhou, Zusheng

Subjects
Technology, Accelerator Physics
Abstract

The solid state amplifier is an important part of the RF power source system of ADS project at IHEP. Three kinds of solid state amplifier with different power and frequency have been applied. In this paper, the specifications of solid state amplifier are presented. In addition, the principle of breakdown of power modules during the high power test of coupler are analyzed., Proceedings of the 29\textsuperscript{th} Linear Accelerator Conf., LINAC2018, Beijing, China

Published
2018
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42. Physical Design of the 500 MeV Electron Linac for the High Energy Photon Source

Author

Pei, Shilun, He, Da-Yong, He, Xiang, Li, Jingyi, Liu, Jindong, Ma, Xinpeng, Meng, Cai, Shu, Guan, Wang, Xiangjian, Xiao, Ouzheng, Zhang, Jingru, and Zhou, Zusheng

Subjects
Physics::Accelerator Physics, 02 Photon Sources and Electron Accelerators, A08 Linear Accelerators, Computer Science::Computers and Society, Accelerator Physics
Abstract

The High Energy Photon Source (HEPS) is a 6 GeV light source with ultra-low emittance, it is proposed to be built at Huairou district, northeast suburb of Beijing, China. A 500 MeV electron linac will be used to generate the electron beam for injection into the booster. Here the preliminary physical design of the electron linac is presented., Proceedings of the 9th Int. Particle Accelerator Conf., IPAC2018, Vancouver, BC, Canada

Published
2018
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46. Design and Commissioning of LLRF System for ADS Project in China

Author

Liu, Rong, Chi, Yunlong, Gan, Nan, Huang, Xuefang, Lin, Haiying, Liu, Na, Ma, Xinpeng, Mi, Zheng, Wang, Guangwei, Wang, Qunyao, Wang, Shao, and Zhou, Zusheng

Subjects
06 Beam Instrumentation, Controls, Feedback and Operational Aspects, Accelerator Physics
Abstract

This article describes a low-level RF control system for the ADS project at IHEP, which includes control units for an RFQ, 2 Bunchers and 14 spoke superconducting cavities with the reference line distribution. The paper covers system design consideration and implementation for those units. we will also presented some experience and results for the last one year operation of these LLRF systems., Proceedings of the 7th Int. Particle Accelerator Conf., IPAC2016, Busan, Korea

Published
2016
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47. MicroTCA.4-Based LLRF System for Spoke Cavities of C-ADS Injector I

Author

Ma, Xinpeng, Gan, Nan, Huang, Xuefang, Lin, Haiying, Liu, Na, Liu, Rong, Wang, Guangwei, and Wang, Qunyao

Subjects
06 Beam Instrumentation, Controls, Feedback and Operational Aspects, Accelerator Physics
Abstract

The C-ADS Injector I is being built in IHEP, which includes 14 β=0.12 superconducting single spoke cavities enclosed with two cryomodules under 2 K. The MicroTCA.4-based Low Level RF (LLRF) system provides GDR mode for the operation of the cavities. The LLRF system supports both CW and duty-adjustable pulsed operation modes for the high power source and the cavities. The firmware of the FPGA controller and the EPICS IOC software has been upgraded during the last half year adding feedforward and abnormal detection. The operator interface (OPI) software and automatic operation script are also described. The MicroTCA.4 platform runs well for the beam commissioning of the Injector I. Some gained experiences with stable beam operation are also shown., Proceedings of the 7th Int. Particle Accelerator Conf., IPAC2016, Busan, Korea

Published
2016
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48. Design and Evaluation of a Broad Band microTCA.4 Based Downconverter

Author

Gan, Nan, Chi, Yunlong, Liu, Rong, and Ma, Xinpeng

Subjects
06 Beam Instrumentation, Controls, Feedback and Operational Aspects, Accelerator Physics
Abstract

Modern low-level RF (LLRF) control systems of particle accelerators are designed to achieve extremely precise field amplitude and phase regulation inside the accelerating cavities, the RF field signal is usually converted to an intermediate frequency (IF) before being sampled by ADC. As the down-conversion is an important procedure of the digital signal processing in LLRF system, designing a high performance and broad band downconverter compatible with various accelerators will be significant. In this paper, the design of a MicroTCA based downconverter is presented, the major design objective of this module is wider operating frequency range and more flexibility in application. Several performance evaluations on different frequency points of this module have been conducted and the module presents a good performance in the operating frequency range., Proceedings of the 7th Int. Particle Accelerator Conf., IPAC2016, Busan, Korea

Published
2016
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49. A digital low-level radio-frequency system R&D for a 1.3 GHz nine-cell cavity

Author

Lin Haiying, Gao Jie, Sun Yi, Xu Bo, Wang Guangwei, Wang Qunyao, Qiu Feng, Liu Rong, Ma Xinpeng, and Sha Peng

Subjects
Physics, Nuclear and High Energy Physics, Amplitude, Optics, International Linear Collider, business.industry, Phase (waves), Cell cavity, Astronomy and Astrophysics, Tuner, Radio frequency, business, Instrumentation
Abstract

To test and verify the performance of the digital low-level radio-frequency (LLRF) and tuner system designed by the IHEP RF group, an experimental platform with a retired KEK 1.3 GHz nine-cell cavity is set up. A radio-frequency (RF) field is established successfully in the cavity and the frequency of the cavity is locked by the tuner in ±0.5° (about ±1.2 kHz) at room temperature. The digital LLRF system performs well in a five-hour experiment, and the results show that the system achieves field stability at amplitude

Published
2012
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