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13 results on '"Xu, Haojie"'

1. CSST forecast: impact from non-Gaussian covariances and requirements on systematics-control

Author

Yao, Ji, Shan, Huanyuan, Li, Ran, Xu, Youhua, Fan, Dongwei, Liu, Dezi, Zhang, Pengjie, Yu, Yu, Hu, Bin, Li, Nan, Fan, Zuhui, Xu, Haojie, and Guo, Wuzheng

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The precise estimation of the statistical errors and accurate removal of the systematical errors are the two major challenges for the stage IV cosmic shear surveys. We explore their impact for the China Space-Station Telescope (CSST) with survey area $\sim17,500\deg^2$ up to redshift $\sim4$. We consider statistical error contributed from Gaussian covariance, connected non-Gaussian covariance and super-sample covariance. We find the super-sample covariance can largely reduce the signal-to-noise of the two-point statistics for CSST, leading to a $\sim1/3$ loss in the figure-of-merit for the matter clustering properties ($\sigma_8-\Omega_m$ plane) and $1/6$ in the dark energy equation-of-state ($w_0-w_a$ plane). We further put requirements of systematics-mitigation on: intrinsic alignment of galaxies, baryonic feedback, shear multiplicative bias, and bias in the redshift distribution, for an unbiased cosmology. The $10^{-2}$ to $10^{-3}$ level requirements emphasize strong needs in related studies, to support future model selections and the associated priors for the nuisance parameters., Comment: submitted to MNRAS

Published
2023
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2. Connection Between SDSS Galaxies and ELUCID Subhaloes in the Eye of Machine Learning

Author

Xu, Xiaoju, Yang, Xiaohu, Xu, Haojie, and Zhang, Youcai

Subjects
Astrophysics of Galaxies (astro-ph.GA), FOS: Physical sciences, Astrophysics - Astrophysics of Galaxies
Abstract

We explore the feasibility of learning the connection between SDSS galaxies and ELUCID subhaloes with random forest (RF). ELUCID is a constrained $N$-body simulation constructed using the matter density field of SDSS. Based on an SDSS-ELUCID matched catalogue, we build RF models that predict $M_r$ magnitude, colour, stellar mass $M_*$, and specific star formation rate (sSFR) with several subhalo properties. While the RF can predict $M_r$ and $M_*$ with reasonable accuracy, the prediction accuracy of colour and sSFR is low, which could be due to the mismatch between galaxies and subhaloes. To test this, we shuffle the galaxies in subhaloes of narrow mass bins in the local neighbourhood using galaxies of a semi-analytic model (SAM) and the TNG hydrodynamic simulation. We find that the shuffling only slightly reduces the colour prediction accuracy in SAM and TNG, which is still considerably higher than that of the SDSS. This suggests that the true connection between SDSS colour and subhalo properties could be weaker than that in the SAM and TNG without the mismatch effect. We also measure the Pearson correlation coefficient between galaxy properties and the subhalo properties in SDSS, SAM, and TNG. Similar to the RF results, we find that the colour-subhalo correlation in SDSS is lower than both the SAM and TNG. We also show that the galaxy-subhalo correlations depend on subhalo mass in the galaxy formation models. Advanced surveys with more fainter galaxies will provide new insights into the galaxy-subhalo relation in the real Universe., Comment: 14 pages, 9 figures, submitted to MNRAS

Published
2023
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4. Self-calibration of photometric redshift scatter from DECaLS DR8 power spectrum and validation with simulated catalogues

Author

Peng, Hui, Xu, Haojie, Zhang, Le, Chen, Zhao, and Yu, Yu

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysics::Instrumentation and Methods for Astrophysics, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The uncertainty in the photometric redshift estimation is one of the major systematics in weak lensing cosmology. The self-calibration method is able to reduce this systematics without assuming strong priors. We improve the recently proposed self-calibration algorithm to enhance the stability and robustness with the noisy measurement. The improved algorithm is tested on the power spectra measured from the simulated catalogues constructed according to DECaLS DR8 photometric catalogue. For the fiducial analysis with 5 equal-width redshift bins over $0, Comment: 15 pages, 13 figures, accepted for publication in MNRAS

Published
2022
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8. Probing the Gluonic Structure of the Deuteron with J/ψ Photoproduction in d+Au Ultraperipheral Collisions

Author

Abdallah, Mohamed, Aboona, Bassam, Adam, Jaroslav, Adamczyk, Leszek, Adams, Joseph, Adkins, Kevin, Agakishiev, Geydar, Aggarwal, Ishu, Aggarwal, Madan, Ahammed, Zubayer, Aitbaev, A., Alekseev, Igor, Anderson, Derek, Aparin, Alexey, Aschenauer, Elke-Caroline, Ashraf, Muhammad Usman, Atetalla, Fareha, Attri, Anjali, Averichev, Georgy, Bairathi, Vipul, Baker, William, Ball Cap, Jonathan Gonzalo, Barish, Kenneth, Behera, Arabinda, Bellwied, Rene, Bhagat, Pratibha, Bhasin, Anju, Bielcik, Jaroslav, Bielcikova, Jana, Bordyuzhin, Igor, Brandenburg, James, Brandin, Andrei, Bunzarov, Ivan, Cai, Xiang-Zhou, Caines, Helen, Calderon de la Barca Sanchez, Manuel, Cebra, Daniel, Chakaberia, Irakli, Chaloupka, Petr, Chan, Brian, Chang, Feng-Han, Chang, Zilong, Chankova-Bunzarova, Nedialka, Chatterjee, Arghya, Chattopadhyay, Subhasis, Chen, Ding, Chen, Jia, Chen, Jinhui, Chen, Xiaolong, Chen, Zhenyu, Cheng, Jianping, Chevalier, Malia, Choudhury, Subikash, Christie, W., Christie, Bill, Chu, Xiaoxuan, Crawford, Hank, Csanad, Mate, Daugherity, Michael, Dedovich, Tatiana, Deppner, Ingo, Derevschikov, Anatoly, Dhamija, Arushi, Di Carlo, Launa, Didenko, Lidia, Dixit, Prabhupada, Dong, Xin, Drachenberg, James, Duckworth, Eddie, Dunlop, James, Elsey, Nicholas, Engelage, Jack, Eppley, Geary, Esumi, ShinIchi, Evdokimov, Olga, Ewigleben, Annika, Eyser, Oleg, Fatemi, Renee, Fawzi, Fares, Fazio, Salvatore, Federic, Pavol, Fedorisin, Jan, Feng, Chan-Jui, Feng, Yicheng, Filip, Peter, Finch, Evan, Fisyak, Yuri, Francisco, Audrey, Fu, Chuan, Fulek, Lukasz, Gagliardi, Carl, Galatyuk, Tatyana, Geurts, Frank, Ghimire, Navagyan, Gibson, Adam, Gopal, Krishan, Gou, Xingrui, Grosnick, David, Gupta, Anik, Guryn, Wlodek, Hamad, Ayman, Hamed, Ahmed, Han, Yiding, Harabasz, Szymon, Harasty, Matthew, Harris, John, Harrison, Hannah, He, Shu, He, Wanbing, He, Xionghong, He, Yang, Heppelmann, Samuel, Heppelmann, Steven, Herrmann, Norbert, Hoffman, Eric, Holub, Lukas, Hu, C., Hu, Q., Hu, Yu, Huang, Hao, Huang, Huan, Huang, Shengli, Huang, Te-Chuan, Huang, Xinjie, Huang, Yan, Humanic, T.J., Igo, George, Isenhower, Donald, Isshiki, M., Jacobs, William, Jena, Chitrasen, Jentsch, Alexander, Ji, Yuanjing, Jia, Jiangyong, Jiang, Kun, Ju, Xinyue, Judd, Eleanor, Kabana, Sonia, Kabir, Md Latiful, Kagamaster, Skipper, Kalinkin, Dmitry, Kang, Kejun, Kapukchyan, David, Kauder, Kolja, Ke, Hongwei, Keane, Declan, Kechechyan, Armen, Kelsey, Matthew, Khyzhniak, Yevheniia, Kikola, Daniel, Kim, Chong, Kimelman, Benjamin, Kincses, Daniel, Kisel, Ivan, Kiselev, Alexander, Knospe, Anders, Ko, Ho San, Kochenda, Leonid, Korobitsin, A., Kosarzewski, Leszek, Kramarik, Lukas, Kravtsov, Petr, Kumar, Lokesh, Kumar, Shyam, Kunnawalkam Elayavalli, Raghav, Kwasizur, Joseph, Lacey, Roy, Lan, Shaowei, Landgraf, Jeffery, Lauret, Jerome, Lebedev, Alexei, Lednicky, Richard, Lee, Jeong-Hun, Leung, Yue-Hang, Lewis, Nicole, Li, Changfeng, Li, Cheng, Li, Wei, Li, Xin, Li, Yuanjing, Liang, Xilin, Liang, Yue, Licenik, Robert, Lin, Ting, Lin, Yufu, Lisa, Mike, Liu, Feng, Liu, Huanzhao, Liu, Hui, Liu, Peifeng, Liu, Tong, Liu, Xiaoyu, Liu, Yanfang, Liu, Zhen, Ljubicic, Tonko, Llope, W.J., Longacre, R.S., Loyd, Erik, Lu, T., Lukow, Nicholas, Luo, Xiaofeng, Ma, Long, Ma, Rongrong, Ma, Yu-Gang, Magdy Abdelwahab Abdelrahman, Niseem, Mallick, Debasish, Manukhov, S.L., Margetis, Spiros, Markert, Christina, Matis, Howard, Mazer, Joel, Minaev, Nikolai, Mioduszewski, Saskia, Mohanty, Bedanga, Mondal, Mriganka, Mooney, Isaac, Morozov, Dmitry, Mukherjee, Ayon, Nagy, Marton, Nam, J.D., Nasim, Md., Nayak, Kishora, Neff, Dylan, Nelson, John, Nemes, Daniel, Nie, Maowu, Nigmatkulov, Grigory, Niida, Takafumi, Nishitani, Risa, Nogach, Larisa, Nonaka, Toshihiro, Nunes, Ana Sofia, Odyniec, Grazyna, Ogawa, Akio, Oh, Saehanseul, Okorokov, Vitalii, Okubo, K., Page, Brian, Pak, Robert, Pan, Jinjin, Pandav, Ashish, Pandey, Ashutosh, Panebratsev, Yuri, Parfenov, Petr, Pinsky, Lawrence, Paul, A., Pawlik, Bogdan, Pawlowska, Diana, Perkins, Chris, Pluta, Jan, Pokhrel, Babu, Ponimatkin, Georgij, Porter, Jeff, Posik, Matthew, Prozorova, Veronika, Pruthi, Navneet Kumar, Przybycien, Mariusz, Putschke, Joern, Qiu, Hao, Quintero, Amilkar, Racz, Cameron, Radhakrishnan, Sooraj, Raha, Nandita, Ray, Lanny, Reed, Rosi, Ritter, Hans Georg, Robotkova, Monika, Rogachevskiy, Oleg, Romero, Juan, Roy, Diptanil, Ruan, Lijuan, Rusnak, Jan, Sahoo, Aswini, Sahoo, Nihar, Sako, Hiroyuki, Salur, Sevil, Samigullin, E., Sandweiss, Jack, Sato, Susumu, Schmidke, Bill, Schmitz, Norbert, Schweid, Benjamin, Seck, Florian, Seger, Janet, Sergeeva, Maria, Seto, Richard, Seyboth, Peter, Shah, Neha, Shahaliev, Ehtiram, Shanmuganathan, Prashanth, Shao, Ming, Shao, Tianhao, Sharma, R., Sheikh, Ashik Ikbal, Shen, Diyu, Shi, Shusu, Shi, Yingying, Shou, Qi-Ye, Sichtermann, Ernst, Sikora, Rafal, Simko, Miroslav, Singh, Jagbir, Singha, Subhash, Sorensen, Paul, Sinha, P., Skoby, Michael, Smirnov, Nikolai, Soehngen, Yannick, Solyst, William, Song, Youqi, Spinka, H.M., Srivastava, Brijesh, Stanislaus, Shirvel, Stefaniak, Maria, Stewart, David, Strikhanov, Mikhail, Stringfellow, Blair, Suaide, Alexandre Alarcon, Sumbera, Michal, Summa, Branden, Sun, Xiangming, Sun, Xu, Sun, Yongjie, Sun, Yuliang, Surrow, Bernd, Svirida, Dmitry, Sweger, Zachary, Szymanski, Pawel, Tang, Aihong, Tang, Zebo, Taranenko, Arkadiy, Tarnowsky, Terry, Thomas, J.H., Timmins, Anthony, Tlusty, David, Todoroki, Takahito, Tokarev, Michael, Tomkiel, Catherine, Trentalange, Steven, Tribble, Robert, Tribedy, Prithwish, Tripathy, Srikanta Kumar, Truhlar, Tomas, Trzeciak, Barbara, Tsai, Oleg, Tu, Zhoudunming (Kong), Ullrich, Thomas, Underwood, Dave, Upsal, Isaac, Van Buren, Gene, Vanek, Jan, Vasiliev, Alexander, Vassiliev, Iouri, Verkest, Veronica, Videbaek, Flemming, Vokal, Stanislav, Voloshin, Sergei, Wang, Fuqiang, Wang, Gang, Wang, Jiansong, Wang, Pengfei, Wang, Xiaofeng, Wang, Yaping, Wang, Yi, Wang, Zhen, Webb, Jason, Weidenkaff, Philipp, Wen, Liwen, Westfall, Gary, Wieman, Howard, Wissink, Scott, Witt, Richard, Wu, Jin, Wu, Junlin, Wu, Yang, Xi, Baoshan, Xiao, Zhigang, Xie, Guannan, Xie, Wei, Xu, Haojie, Xu, Nu, Xu, Qinghua, Xu, Yike, Xu, Zhangbu, Xu, Zhiwan, Yan, Gaoguo, Yang, Chi, Yang, Qian, Yang, Shuai, Yang, Yi, Ye, Zaochen, Ye, Zhenyu, Yi, Li, Yip, Kin, Yu, Yi, Zbroszczyk, Hanna, Zha, Wangmei, Zhang, ChunJian, Zhang, Dingwei, Zhang, Jinlong, Zhang, Xiaoping, Zhao, F., Zhang, Shenghui, Zhang, Song, Zhang, Yapeng, Zhang, Yifei, Zhang, Yu, Zhang, Zhe-Jia, Zhang, Zhengqiao, Zhang, Ziyue, Zhao, Jie, Zhao, M., Zhou, Chensheng, Zhou, Yingjie, Zhu, Xianglei, Zurek, Maria, and Zyzak, Maksym

Subjects
Nuclear Theory, nucl-th, hep-ex, FOS: Physical sciences, nucl-ex, High Energy Physics - Experiment, Nuclear Theory (nucl-th), High Energy Physics - Experiment (hep-ex), Nuclear Physics - Theory, High Energy Physics::Experiment, Nuclear Physics - Experiment, Nuclear Experiment (nucl-ex), Nuclear Experiment, Particle Physics - Experiment
Abstract

Understanding gluon density distributions and how they are modified in nuclei are among the most important goals in nuclear physics. In recent years, diffractive vector meson production measured in ultra-peripheral collisions (UPCs) at heavy-ion colliders has provided a new tool for probing the gluon density. In this Letter, we report the first measurement of $J/\psi$ photoproduction off the deuteron in UPCs at the center-of-mass energy $\sqrt{s_{_{\rm NN}}}=200~\rm GeV$ in d$+$Au collisions. The differential cross section as a function of momentum transfer $-t$ is measured. In addition, data with a neutron tagged in the deuteron-going Zero-Degree Calorimeter is investigated for the first time, which is found to be consistent with the expectation of incoherent diffractive scattering at low momentum transfer. Theoretical predictions based on the Color Glass Condensate saturation model and the gluon shadowing model are compared with the data quantitatively. A better agreement with the saturation model has been observed. With the current measurement, the results are found to be directly sensitive to the gluon density distribution of the deuteron and the deuteron breakup, which provides insights into the nuclear gluonic structure., Comment: Final published version Phys. Rev. Lett. 128, 122303

Published
2021

9. The clustering of galaxies in the DESI imaging legacy surveys DR8: I. the luminosity and color dependent intrinsic clustering

Author

Wang, Zhaoyu, Xu, Haojie, Yang, Xiaohu, Jing, Yipeng, Wang, Kai, Guo, Hong, Dong, Fuyu, and He, Min

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysics of Galaxies (astro-ph.GA), Astrophysics::Solar and Stellar Astrophysics, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

In a recent study, we developed a method to model the impact of photometric redshift uncertainty on the two-point correlation function (2PCF). In this method, we can obtain both the intrinsic clustering strength and the photometric redshift errors simultaneously by fitting the projected 2PCF with two integration depths along the line-of-sight. Here we apply this method to the DESI Legacy Imaging Surveys Data Release 8 (LS DR8), the largest galaxy sample currently available. We separate galaxies into 20 samples in 8 redshift bins from $z=0.1$ to $z=1.0$, and a few $\rm z$-band absolute magnitude bins, with $M_{\rm z} \le -20$. These galaxies are further separated into red and blue sub-samples according to their $M^{0.5}_{\rm r}-M^{0.5}_{\rm z}$ colors. We measure the projected 2PCFs for all these galaxy (sub-)samples, and fit them using our photometric redshift 2PCF model. We find that the photometric redshift errors are smaller in red sub-samples than the overall population. On the other hand, there might be some systematic photometric redshift errors in the blue sub-samples, so that some of the sub-samples show significantly enhanced 2PCF at large scales. Therefore, focusing only on the red and all (sub-)samples, we find that the biases of galaxies in these (sub-)samples show clear color, redshift and luminosity dependencies, in that red brighter galaxies at higher redshift are more biased than their bluer and low redshift counterparts. Apart from the best fit set of parameters, $\sigma_{z}$ and $b$, from this state-of-the-art photometric redshift survey, we obtain high precision intrinsic clustering measurements for these 40 red and all galaxy (sub-)samples. These measurements on large and small scales hold important information regarding the cosmology and galaxy formation, which will be used in our subsequent probes in this series., Comment: 16 pages, 12 figures, SCPMA in press

Published
2021
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10. CFD Modeling of Ventilation and Dust Flow Behavior in Polishing and the Design of an Innovative Wet Dust Removal System

Author

Liu Hailong, Junfeng Wang, Xu Haojie, and Qian Jianghai

Subjects
Pollution, Health, Toxicology and Mutagenesis, media_common.quotation_subject, Flow (psychology), 0211 other engineering and technologies, multiphase flow transport, lcsh:Medicine, Polishing, Explosions, 02 engineering and technology, Computational fluid dynamics, complex mixtures, Article, law.invention, polishing, law, Occupational Exposure, 021101 geological & geomatics engineering, media_common, 021110 strategic, defence & security studies, geography, geography.geographical_feature_category, CFD modeling, business.industry, lcsh:R, wet dust collection, Public Health, Environmental and Occupational Health, Environmental engineering, Dust, Inlet, Ventilation, respiratory tract diseases, Ventilation (architecture), Hydrodynamics, aluminum dust, Environmental science, business, Dispersion (chemistry), Dust explosion
Abstract

Fine aluminum dust pollution in the polishing process was detected during a field survey. To obtain a fundamental understanding of the airflow patterns and the fine dust dispersion characteristics during a polishing process, computational fluid dynamics simulations were first performed to analyze the data collected in field measurements. The inappropriate ventilation arrangement and lack of effective dust control measures were identified as the main reasons for the high dust exposure levels (in excess of 1000 &mu, g/m3). Simulation results showed that inhalable dust particles (PM10) could be significantly diluted at the operator&rsquo, s breathing level by adding a supply air inlet above the operating area. Moreover, dry dust collection systems create a risk of aluminum dust explosion accidents. An innovative design of wet dust removal system which could mitigate the occurrence of dust explosions was proposed and then implemented on site. An independent field dust assessment showed that a reduction of fine dust particles up to 95% in the worker&rsquo, s breathing area and the fine dust in the vents was reduced to 80%. Therefore, the proposed strategies are implemented immediately to address the combustible dust in the polishing working environment and can provide guidance for operators.

Published
2020

11. Populating HI gas in dark matter halos: I. method

Author

Lu, Yi, Yang, Xiaohu, Liu, Chengze, Guo, Hong, Xu, Haojie, Katsianis, Antonios, and Wang, Zhaoyu

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysics of Galaxies (astro-ph.GA), FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We combine data from the Sloan Digital Sky Survey (SDSS) and the Arecibo Legacy Fast ALFA Survey (ALFALFA) to establish an empirical model for the HI gas content within dark matter halos. A cross-match between our SDSS DR7 galaxy group sample and the ALFALFA HI sources provides a catalog of 16,520 HI-galaxy pairs within 14,270 galaxy groups (halos). Using these matched pairs, we model the HI gas mass distributions within halos using two components: 1) {\it in situ} galaxy relations that involve the HI masses, colors $({\rm g-r})$ and stellar masses 2) an {\it ex situ} dependence of the HI mass on the halo mass/environment. We find that if we solely use galaxy associated scaling relations to predict the HI gas distribution (solely component 1), the number of HI detections is significantly over-predicted with respect the ALFALFA observations. We introduce a concept for the survival of the HI masses/members within halos of different masses labelled as the `efficiency' factor, in order to describe the probability that a halo has in retaining its HI detections. Taking the above consideration into account we construct a `halo based HI mass model' which does not only predict the HI masses of galaxies, but also yields similar number, stellar, halo mass and satellite fraction distributions to the HI detections retrieved from observational data., Comment: 13 pages, 11 figures

Published
2020
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12. Probing Extreme Electromagnetic Fields with the Breit-Wheeler Process

Author

Adam, Jaroslav, Adamczyk, Leszek, Adams, Joseph, Adkins, Kevin, Agakishiev, Geydar, Aggarwal, Madan, Ahammed, Zubayer, Alekseev, Igor, Anderson, Derek, Aparin, Alexey, Aschenauer, Elke-Caroline, Ashraf, Muhammad Usman, Atetalla, Fareha, Attri, Anjali, Averichev, Georgy, Bairathi, Vipul, Barish, Kenneth, Behera, Arabinda, Bellwied, Rene, Bhasin, Anju, Bielcik, Jaroslav, Bielcikova, Jana, Bland, Leslie, Bordyuzhin, Igor, Brandenburg, James, Brandin, Andrei, Butterworth, Joseph, Caines, Helen, Calderon La Barca Sanchez, Manuel, Cebra, Daniel, Chakaberia, Irakli, Chaloupka, Petr, Brian Chan, Chang, Feng-Han, Chang, Zilong, Chankova-Bunzarova, Nedialka, Chatterjee, Arghya, Chen, Ding, Chen, Jinhui, Chen, Xiaolong, Chen, Zhenyu, Cheng, Jianping, Cherney, Mike, Chevalier, Malia, Choudhury, Subikash, Christie, Bill, Crawford, Hank, Csanad, Mate, Daugherity, Michael, Dedovich, Tatiana, Deppner, Ingo, Derevschikov, Anatoly, Didenko, Lidia, Dong, Xin, Drachenberg, James, Dunlop, James, Edmonds, Terrence, Elsey, Nicholas, Engelage, Jack, Eppley, Geary, Esha, Roli, Esumi, Shinichi, Evdokimov, Olga, Ewigleben, Justin, Eyser, Oleg, Fatemi, Renee, Fazio, Salvatore, Federic, Pavol, Fedorisin, Jan, Feng, Chan-Jui, Yicheng Feng, Filip, Peter, Finch, Evan, Fisyak, Yuri, Francisco, Audrey, Fulek, Lukasz, Gagliardi, Carl, Galatyuk, Tatyana, Geurts, Frank, Gibson, Adam, Gopal, Krishan, Grosnick, David, Guryn, Wlodek, Hamad, Ayman, Hamed, Ahmed M., Harris, John, He, Wanbing, He, Xionghong, Heppelmann, Samuel, Heppelmann, Steven, Herrmann, Norbert, Hoffman, Eric, Holub, Lukas, Yifan Hong, Horvat, Stephen, Hu, Yu, Huang, Huan, Huang, Shengli, Huang, Te-Chuan, Huang, Xinjie, Humanic, Tom, Huo, Peng, Igo, George, Isenhower, Donald, Jacobs, William, Chitrasen Jena, Jentsch, Alexander, Ji, Yuanjing, Jia, Jiangyong, Jiang, Kun, Jowzaee, Sedigheh, Ju, Xinyue, Judd, Eleanor, Kabana, Sonya, Kabir, Md Latiful, Kagamaster, Skipper, Kalinkin, Dmitry, Kang, Kejun, Kapukchyan, David, Kauder, Kolja, Ke, Hongwei, Keane, Declan, Kechechyan, Armen, Kelsey, Matthew, Khyzhniak, Yevheniia, Kikola, Daniel, Kim, Chong, Kimelman, Benjamin, Dániel Kincses, Kinghorn, Todd, Kisel, Ivan, Kiselev, Alexander, Kisiel, Adam, Klein, S. R., Michal Kocan, Kochenda, Leonid, Kosarzewski, Leszek, Kramarik, Lukas, Kravtsov, Peter, Krueger, Keith, Kulathunga Mudiyanselage, Nalinda, Kumar, Lokesh, Kunnawalkam Elayavalli, Raghav, Kwasizur, Joseph, Lacey, Roy, Lan, Shaowei, Landgraf, Jeffery, Lauret, Jerome, Lebedev, Alexei, Lednicky, Richard, Lee, Jeong-Hun, Leung, Yue-Hang, Li, Cheng, Li, Wei, Li, Xin, Li, Yuanjing, Liang, Yue, Licenik, Robert, Lin, Ting, Lin, Yufu, Lisa, Mike, Liu, Feng, Liu, Huanzhao, Liu, Peifeng, Peng Liu, Liu, Tong, Liu, Xiaoyu, Liu, Yanfang, Liu, Zhen, Ljubicic, Tonko, Llope, Wj, Longacre, Ron, Lukow, Nicholas, Luo, Siwei, Luo, Xiaofeng, Ma, Guo-Liang, Ma, Long, Ma, Rongrong, Ma, Yu-Gang, Magdy Abdelwahab Abdelrahman, Niseem, Majka, Richard, Mallick, Debasish, Margetis, Spiros, Markert, Christina, Matis, Howard, Mazer, Joel, Minaev, Nikolai, Mioduszewski, Saskia, Mohanty, Bedanga, Mooney, Isaac, Zuzana Moravcova, Morozov, Dmitry, Nagy, Marton, Nam, Jae, Nasim, Md, Nayak, Kishora, Neff, Dylan, Nelson, John, Nemes, Daniel, Nie, Maowu, Nigmatkulov, Grigory, Niida, Takafumi, Nogach, Larisa, Nonaka, Toshihiro, Odyniec, Grazyna, Ogawa, Akio, Oh, Saehanseul, Okorokov, Vitalii, Page, Brian, Pak, Robert, Pandav, Ashish, Panebratsev, Yuri, Pawlik, Bogdan, Pawlowska, Diana, Pei, Hua, Perkins, Chris, Pinsky, Lawrence, Pinter, Roland Laszlo, Pluta, Jan, Porter, Jeff, Posik, Matthew, Pruthi, Navneet Kumar, Przybycien, Mariusz, Putschke, Joern, Qiu, Hao, Quintero, Amilkar, Radhakrishnan, Sooraj, Ramachandran, Suvarna, Ray, Lanny, Reed, Rosi, Ritter, Hans Georg, Roberts, Jay, Rogachevskiy, Oleg, Romero, Juan, Ruan, Lijuan, Rusnak, Jan, Sahoo, Nihar, Hiroyuki Sako, Salur, Sevil, Sandweiss, Jack, Sato, Susumu, Schmidke, Bill, Schmitz, Norbert, Schweid, Benjamin, Seck, Florian, Seger, Janet, Sergeeva, Maria, Seto, Richard, Seyboth, Peter, Shah, Neha, Shahaliev, Ehtiram, Shanmuganathan, Prashanth, Shao, Ming, Shen, Fuwang, Shen, Wen-Qing, Shi, Shusu, Shou, Qi-Ye, Sichtermann, Ernst, Sikora, Rafal, Simko, Miroslav, Singh, Jagbir, Singha, Subhash, Smirnov, Nikolai, Solyst, William, Sorensen, Paul, Spinka, Hal, Srivastava, Brijesh, Stanislaus, Shirvel, Stefaniak, Maria, Stewart, David, Strikhanov, Mikhail, Stringfellow, Blair, Suaide, Alexandre Alarcon, Sumbera, Michal, Summa, Branden, Sun, Xiangming, Sun, Yongjie, Sun, Yuliang, Surrow, Bernd, Svirida, Dmitry, Szymanski, Pawel, Tang, Aihong, Tang, Zebo, Taranenko, Arkadiy, Tarnowsky, Terry, Thomas, Jim, Timmins, Anthony, Tlusty, David, Tokarev, Michael, Tomkiel, Catherine, Trentalange, Steven, Tribble, Robert, Tribedy, Prithwish, Tripathy, Srikanta Kumar, Tsai, Oleg, Tu, Zhoudunming, Ullrich, Thomas, Underwood, Dave, Upsal, Isaac, Buren, Gene, Vanek, Jan, Vasiliev, Alexander, Vassiliev, Iouri, Videbaek, Flemming, Vokal, Stanislav, Voloshin, Sergei, Wang, Fuqiang, Wang, Gang, Jian-Song Wang, Wang, Pengfei, Wang, Yaping, Wang, Yi, Wang, Zhen, Webb, Jason, Weidenkaff, Philipp, Wen, Liwen, Westfall, Gary, Wieman, Howard, Wissink, Scott, Witt, Richard, Wu, Yang, Xiao, Zhigang, Xie, Guannan, Xie, Wei, Xu, Haojie, Xu, Nu, Xu, Qinghua, Xu, Yi-Fei, Xu, Yike, Xu, Zhangbu, Xu, Zhiwan, Yang, Chi, Yang, Qian, Yang, Shuai, Yang, Yi, Yang, Zhenzhen, Ye, Zaochen, Ye, Zhenyu, Yi, Li, Yip, Kin, Zbroszczyk, Hanna, Zha, Wangmei, Zhang, Dingwei, Zhang, Shenghui, Zhang, Song, Zhang, Xiaoping, Zhang, Yifei, Zhang, Zhe-Jia, Zhang, Zhengqiao, Zhao, Jie, Zhong, Chen, Zhou, Chensheng, Zhu, Xianglei, Zhu, Zhanwen, Zurek, Maria, and Zyzak, Maksym

13. CEPC-SPPC Preliminary Conceptual Design Report. 1. Physics and Detector

Author

Ahmad, Muhammd, Alves, Daniele, An, Haipeng, An, Qi, Arhrib, Abdesslam, Arkani-Hamed, Nima, Ahmed, Ijaz, Bai, Yu, Ferroli, Rinaldo Baldini, Ban, Yong, Bartalini, Paolo, Benbrik, Rachid, Bi, Xiaojun, Bigi, Ikaros, Bai, Yang, Bramante, Joseph, Balagura, Vladislav, Boudry, Vincent, Brient, Jean Claude, Cai, Yifu, Cai, Hao, Cao, Zhen, Cao, Junjie, Chang, Yu-Hsiang, Chang, Yuan-Hann, Chang, We-Fu, Chang, Paoti, Chang, Chiu-Ping, Chang, Ningbo, Chang, Qin, Chao, Yuan, Chen, Jiunn-Wei, Chen, Shaolong, Chen, Ye, Chen, Mingshui, Chen, Guoming, Chen, Xuewen, Chen, Shanzhen, Chen, Zhenxing, Chen, Shenjian, Chen, Xurong, Chen, Xun, Chen, Shaomin, Chen, Mingjun, Chen, Shiyong, Chen, Ning, Chen, Gang, Chen, Shi, Cheng, Hai-Yang, Cheng, Shan, Cheng, Tongguang, Chiang, Cheng-Wei, Choi, Kiwoon, Chu, Wai Cheong, Chua, Chun-Khiang, Chui, Kris, Cohen, Timothy, Craig, Nathaniel, Curtin, David, D Agnolo, Raffaele Tito, Dai, Jianping, Deng, Zhi, Deng, Weitian, Ding, Hengtong, Ding, Xuefeng, Ding, Ran, Ding, Yadong, Dong, Mingyi, Dordevic, Milos, Elsayed, Medhat, Erler, Jens, Essig, Rouven, Everett, Lisa, Fan, Jiawei, Fan, Jiji, Fan, Jingzhou, Fang, Shuangshi, Fang, Yaquan, Fang, Xin, Fang, Wenxing, Feng, Cunfeng, Fischer, Oliver, Flores Castillo, Luis Roberto, Fu, Zaiwei, Fedderke, Michael A., Galloway, Jamison, Gao, Yuanning, Gao, Xuyang, Gao, Yonggui, Gao, Jie, Ge, Shaofeng, Geng, Chaoqiang, Geng, Lisheng, Gong, Guanghua, Gong, Li, Gong, Lingling, Gori, Stefania, Goshaw, Alfred, Gou, Quanbu, Gu, Jiayin, Gu, Yikun, Gu, Peihong, Guo, Lei, Guo, Wanlei, Guo, Jun, Guo, Yan, Haddad, Yacine, Hajer, Jan, Han, Yanliang, Han, Ran, Han, Tao, Han, Liang, Han, Shuang, Han, Jinzhong, Hance, Michael, Hao, Yongliang, Hao, Xiqing, He, Hong-Jian, He, Xiaogang, Heng, Yuekun, Hinchliffe, Ian, Hong, Daojin, Hou, Wei-Shu, Hou, Zhilong, Howe, Kiel, Hsiung, Yee Bob, Hu, Yu, Hu, Qingli, Hu, Tao, Huang, Chaoshang, Huang, Jinshu, Huang, Yanping, Huang, Xingtao, Huang, Guangshun, Hook, Anson, Ismail, Ahmed, Ji, Qingping, Jia, Duojie, Jia, Junji, Jia, Xuejun, Jiang, Yun, Jiang, Lili, Jiang, Luwen, Jiang, Xingyu, Jiao, Jianbin, Jin, Shan, Jin, Hongying, Jung, Sunghoon, Jyotishmati, Susmita, Kaiser, Markus, Kang, Xiaoshen, Kang, Xiaolin, Khoze, Valentin V., Kling, Felix, Koirala, Suman, Kong, Otto, Kotwal, Ashutosh, Kuo, Chia Ming, Kwok, Kevin, Kong, Shibei, Laktineh, Imad, Larkoski, Andrew, Lei, Guo, Li, Shu, Li, Ling-Fong, Li, Qiang, Li, Ying, Li, Minxian, Li, Kang, Li, Yufeng, Li, Haibo, Li, Zhao, Li, Xiaozhou, Li, Bo, Li, Ye, Li, Haijun, Li, Liang, Li, Xinqiang, Li, Weiguo, Li, Xiaoling, Li, Wenzhao, Li, Fei, Li, Hengne, Li, Junli, Li, Tianjun, Li, Cheng, Li, Yijie, Li, Honglei, Li, Shiyuan, Li, Gang, Li, Huijing, Li, Fengyun, Li, Lei, Li, Ke, Li, Hsiangnan, Li, Guannan, Li, Qiyun, Li, Yingying, Li, Xiaomei, Li, Dikai, Liang, Zhijun, Liao, Yi, Liao, Wei, Liao, Libo, Ling, Jiajie, Liu, Hui, Liu, Bing, Liu, Chuan, Liu, Zhen, Liu, Landiao, Liu, Yanlin, Liu, Tao, Liu, Yilin, Liu, Zhongxiu, Liu, Beijiang, Liu, Hongbang, Liu, Junyu, Liu, Jia, Liu, Jinyan, Xin Liu, Liu, Xiang, Liu, Jianbei, Liu, Peilian, Liu, Yanwen, Liu, Fuhu, Liu, Zhaofeng, Liu, Hu, Liu, Ning, Liu, Rong, Liu, Qian, Lo, Cheuk Yee, Lou, Xinchou, Lou, Hou Keong, Low, Ian, Low, Matthew, Lu, Caidian, Lu, Weiguo, Lu, Yunpeng, Luo, Shu, Luo, Xiaofeng, Luo, Tao, Lyu, Lanchun, Lyu, Xiaorui, Lin, Tongyan, Ma, Guoliang, Ma, Ernest, Ma, Lianliang, Ma, Wengan, Ma, Binsong, Ma, Boqiang, Ma, Hailong, Ma, Mingming, Mao, Yajun, Mccullough, Matthew, Meade, Patrick, Meng, Xiangwei, Min, Tianjue, Mo, Xin, Murray, William, Ning, Feipeng, Padhi, Sanjay, Paganis, Stathes, Pang, Longgang, Passemar, Emilie, Peng, Cong, Peters, Klaus, Ping, Ronggang, Prokofiev, Kirill, Perez, Gilad, Qi, Huirong, Qi, Ming, Qi, Hongrong, Qian, Jianming, Qiao, Congfeng, Qin, Nian, Qin, Guangyou, Qin, Zhonghua, Qin, Liqing, Ramsey-Musolf, Michael, Reece, Matthew, Ren, Jing, Rompotis, Nikolaos, Ruan, Xifeng, Ruan, Manqi, Ruderman, Joshua, Ruiz, Richard, Sayre, Joshua, Shaheen, Sarmad Masood, Shelton, Jessie, Shen, Yuqiao, Shen, Chengping, Shiu, Jingge, Shiu, Gary, Shiu, Fu Hong John, Shu, Jing, Si, Zongguo, Song, Weimin, Song, Xinying, Song, Huichao, Su, Shufang, Sujeet, Akula, Sun, Yueling, Sun, Sichun, Sun, Yanjun, Sun, Hao, Sun, Xilei, Tandean, Jusak, Tang, Zhicheng, Tao, Junquan, Thaler, Jesse, Thalapillil, Arun, Tseng, Shihyen, Tu, Yanjun, Tweedie, Brock, Ker, Jay G. Wac, Wang, Minzu, Wang, Bin, Wang, Yong, Wang, Kechen, Wang, Tianhong, Wang, Mengmeng, Wang, Shaoming, Wang, Joseph, Wang, Zhe, Wang, Wei, Wang, Yiwei, Wang, Haiyun, Wang, Jin, Wang, Chi, Wang, Xiaoping, Wang, Feng, Wang, Liantao, Wang, Zhiyong, Wang, Yuchen, Wang, Xiaoyun, Wang, Qun, Wang, Zheng, Wang, Xinnian, Wang, Yue, Wang, Wenyu, Wang, Fei, Wang, Zongyuan, Wang, Dayong, Wang, Rongkun, Wang, Weiping, Wang, Binlong, Wang, Meng, Wang, Zirui, Wang, Chengtao, Wang, Xiongfei, Wang, Xueqiang, Wang, Xiaolong, Wang, Siguang, Wang, Meifen, Wei, Yuqian, Wen, Shuopin, Westhoff, Susanne, Wong, Sung Ching Sam, Wu, Xinggang, Wu, Xiaohong, Wu, Wenjing, Wu, Lei, Wu, Linghui, Wu, Yusheng, Xiang, Qianfei, Xianyu, Zhong-Zhi, Xiao, Zhenjun, Xiao, Ming, Xiao, Ruiqing, Xiao, Bowen, Xie, Yuehong, Xie, Yuguang, Xing, Zhi-Zhong, Xiu, Qinglei, Xu, Fanrong, Xu, Qingjun, Xu, Lailin, Xu, Da, Xu, Nu, Xu, Yin, Xu, Haojie, Xu, Xunjie, Xia, Lei, Yan, Wenbiao, Yan, Qishu, Yan, Tian, Yan, Fang, Yang, Yueling, Yang, Haijun, Yang, Xuan, Yang, Jinmin, Yang, Liu, Yang, Bingfang, Yang, Zhongjuan, Yang, Huan, Yao, Weiming, Yao, Weichao, Ye, Mei, Ye, Jingbo, Yin, Pengfei, Yin, Zhongbao, Yin, Furong, Yin, Junhao, You, Zhengyun, Yu, Fusheng, Yu, Tientien, Yu, Felix, Yu, Chunxu, Yu, Boxiang, Yu, Zhaohuan, Yuan, Li, Yuan, Changzheng, Yuan, Ye, Yue, Chongxing, Yue, Qian, Zhang, Yue, Zhang, Lei, Zhang, Jiawen, Zhang, Renyou, Zhang, Chen, Zhang, Yumei, Zhang, Yulian, Zhang, Jianhui, Zhang, Yu, Zhang, Xiaomei, Zhang, Yi, Zhang, Wenchao, Zhang, Zhiqing, Zhang, Xueyao, Zhang, Huaqiao, Zhang, Yujie, Zhang, Jianyong, Zhang, Benwei, Zhang, Hanzhong, Zhang, Zhenyu, Zhang, Yanxi, Zhang, Chi, Zhang, Jielei, Zhang, Bingxin, Zhang, Zhenghao, Zhang, Peng, Zhang, Kai, Zhang, Honghao, Zhang, Guoqing, Zhang, Hao, Zhao, Minggang, Zhao, Zhenhua, Zhao, Zhengguo, Zhao, Jie, Zhao, Ling, Zhao, Wei, Zhao, Hang, Zhen, Minshan, Zheng, Liang, Zheng, Bo, Zheng, Yajuan, Zhong, Yong, Zhou, Hang, Zhou, Bing, Zhou, Shun, Zhou, Yeling, Zhou, Siyi, Zhou, Yufeng, Zhou, Ning, Zhou, Xiang, Zhou, Xiaorong, Zhu, Zian, Zhu, Hongbo, Zhu, Kai, Zhu, Chengguang, Zhu, Ruilin, Zhu, Jianhui, Zhu, Kejun, Zhu, Junjie, Zhu, Qianwen, Zhu, Xiangrong, Zhuang, Xuai, and Zupan, Jure

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