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4,159 results on '"Sun, X."'

1. Optimization of LYSO crystals and SiPM parameters for the CMS MIP timing detector

Author: Addesa, F., Anderson, T., Barria, P., Basile, C., Benaglia, A., Bertoni, R., Bethani, A., Bianco, R., Bornheim, A., Boldrini, G., Boletti, A., Bulla, A., Campana, M., Cardwell, B., Carniti, P., Cetorelli, F., De Guio, F., De Leo, K., De Riggi, F., Dervan, J., Fernandez, E., Gaile, A., Gallinaro, M., Ghezzi, A., Gotti, C., Goldouzian, R., Guglielmi, V., Heering, A., Hu, Z., Jose, M., Karneyeu, A., Krishna, A., Kronheim, B., Kuo, C., La Torre, A., Li, A., Lombardi, F., Lucchini, M. T., Malberti, M., Mao, Y., Marzocchi, B., Meridiani, P., Musienko, Y., Neu, C., Organtini, G., Orimoto, T., Palmer, C., Paganoni, M., Palluotto, S., Paramatti, R., Pessina, G., Perelman, R. T., Quaranta, C., Redaelli, N., Redaelli, S., Gutiérrez, G. Reales, Ronchi, S., Santanastasio, F., Schmidt, I., Silva, J. C., Sorrentino, G., Sun, X., de Fatis, T. Tabarelli, Tosi, M., Ujvari, B., Varela, J., Wang, J., Wayne, M., White, S., Zhang, L., and Zhang, M.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: For the High-Luminosity (HL-LHC) phase, the upgrade of the Compact Muon Solenoid (CMS) experiment at CERN will include a novel MIP Timing Detector (MTD). The central part of MTD, the barrel timing layer (BTL), is designed to provide a measurement of the time of arrival of charged particles with a precision of 30 ps at the beginning of HL-LHC, progressively degrading to 60 ps while operating in an extremely harsh radiation environment for over a decade. In this paper we present a comparative analysis of the time resolution of BTL module prototypes made of LYSO:Ce crystal bars read out by silicon photo-multipliers (SiPMs). The timing performance measured in beam test campaigns is presented for prototypes with different construction and operation parameters, such as different SiPM cell sizes (15, 20, 25 and 30 $\rm \mu m$), SiPM manufacturers and crystal bar thicknesses. The evolution of time resolution as a function of the irradiation level has been studied using non-irradiated SiPMs as well as SiPMs exposed up to $2\times 10^{14}~n_{eq}/cm^2$ fluence. The key parameters defining the module time resolution such as SiPM characteristics (gain, photon detection efficiency, radiation induced dark count rate) and crystal properties (light output and dimensions) are discussed. These results have informed the final choice of the MTD barrel sensor configuration and offer a unique starting point for the design of future large-area scintillator-based timing detectors in either low or high radiation environments.
Published: 2024

2. LHAASO detection of very-high-energy gamma-ray emission surrounding PSR J0248+6021

Author: Cao, Zhen, Aharonian, F., An, Q., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zheng, J. H., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., Zou, Y. C., and Zuo, X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: We report the detection of an extended very-high-energy (VHE) gamma-ray source coincident with the locations of middle-aged (62.4~\rm kyr) pulsar PSR J0248+6021, by using the LHAASO-WCDA data of live 796 days and LHAASO-KM2A data of live 1216 days. A significant excess of \gray induced showers is observed both by WCDA in energy bands of 1-25~\rm TeV and KM2A in energy bands of $>$ 25~\rm TeV with 7.3 $\sigma$ and 13.5 $\sigma$, respectively. The best-fit position derived through WCDA data is R.A. = 42.06$^\circ \pm$ 0.12$^\circ$ and Dec. = 60.24$^\circ \pm $ 0.13$^\circ$ with an extension of 0.69$^\circ\pm$0.15$^\circ$ and that of the KM2A data is R.A.= 42.29$^\circ \pm $ 0.13$^\circ$ and Dec. = 60.38$^\circ \pm$ 0.07$^\circ$ with an extension of 0.37$^\circ\pm$0.07$^\circ$. No clear extended multiwavelength counterpart of this LHAASO source has been found from the radio band to the GeV band. The most plausible explanation of the VHE \gray emission is the inverse Compton process of highly relativistic electrons and positrons injected by the pulsar. These electrons/positrons are hypothesized to be either confined within the pulsar wind nebula or to have already escaped into the interstellar medium, forming a pulsar halo., Comment: 12 pages, 10 figures, Accepted by Sci. China-Phys. Mech. Astron
Published: 2024

3. Extragalactic fast X-ray transient from a weak relativistic jet associated with a Type Ic-BL supernova

Author: Sun, H., Li, W. -X., Liu, L. -D., Gao, H., Wang, X. -F., Yuan, W., Zhang, B., Filippenko, A. V., Xu, D., An, T., Ai, S., Brink, T. G., Liu, Y., Liu, Y. -Q., Wang, C. -Y., Wu, Q. -Y., Wu, X. -F., Yang, Y., Zhang, B. -B., Zheng, W. -K., Ahumada, T., Dai, Z. -G., Delaunay, J., Elias-Rosa, N., Benetti, S., Fu, S. -Y., Howell, D. A., Huang, Y. -F., Kasliwal, M. M., Karambelkar, V., Stein, R., Lei, W. -H., Lian, T. -Y., Peng, Z. -K., Ridnaia, A. V., Svinkin, D. S., Wang, X. -Y., Wang, A. -L., Wei, D. -M., An, J., Andrews, M., Bai, J. -M, Dai, C. -Y., Ehgamberdiev, S. A., Fan, Z., Farah, J., Feng, H. -C., Fynbo, J. P. U., Guo, W. -J., Guo, Z., Hu, M. -K., Hu, J. -W., Jiang, S. -Q., Jin, J. -J., Li, A., Li, J. -D., Li, R. -Z., Liang, Y. -F., Ling, Z. -X., Liu, X., Mao, J. -R., McCully, C., Mirzaqulov, D., Newsome, M., Gonzalez, E. Padilla, Pan, X., Terreran, G., Tinyanont, S., Wang, B. -T., Wang, L. -Z., Wen, X. -D., Xiang, D. -F., Xue, S. -J., Yang, J., Zhu, Z. -P., Cai, Z. -M., Castro-Tirado, A. J., Chen, F. -S., Chen, H. -L., Chen, T. -X., Chen, W., Chen, Y. -H., Chen, Y. -F., Chen, Y., Cheng, H. -Q., Cordier, B., Cui, C. -Z., Cui, W. -W., Dai, Y. -F., Fan, D. -W., Feng, H., Guan, J., Han, D. -W., Hou, D. -J., Hu, H. -B., Huang, M. -H., Huo, J., Jia, S. -M., Jia, Z. -Q., Jiang, B. -W., Jin, C. -C., Jin, G., Kuulkers, E., Li, C. -K., Li, D. -Y., Li, J. -F., Li, L. -H., Li, M. -S., Li, W., Li, Z. -D., Liu, C. -Z, Liu, H. -Y., Liu, H. -Q., Liu, M. -J., Lu, F. -J., Luo, L. -D., Ma, J., Mao, X., Nandra, K., O'Brien, P., Pan, H. -W., Rau, A., Rea, N., Sanders, J., Song, L. -M., Sun, S. -L., Sun, X. -J., Tan, Y. -Y., Tang, Q. -J., Tao, Y. -H., Wang, H., Wang, J., Wang, L., Wang, W. -X., Wang, Y. -L., Wang, Y. -S., Xiong, D. -R., Xu, H. -T., Xu, J. -J., Xu, X. -P., Xu, Y. -F., Xu, Z., Xue, C. -B., Xue, Y. -L., Yan, A. -L., Yang, H. -N., Yang, X. -T., Yang, Y. -J., Zhang, C., Zhang, J., Zhang, M., Zhang, S. -N., Zhang, W. -D., Zhang, W. -J., Zhang, Y. -H., Zhang, Z., Zhang, Z. -L., Zhao, D. -H., Zhao, H. -S., Zhao, X. -F., Zhao, Z. -J., Zhou, Y. -L., Zhu, Y. -X., and Zhu, Z. -C.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: Massive stars end their life as core-collapse supernovae, amongst which some extremes are Type Ic broad-lined supernovae associated with long-duration gamma-ray bursts (LGRBs) having powerful relativistic jets. Their less-extreme brethren make unsuccessful jets that are choked inside the stars, appearing as X-ray flashes or low-luminosity GRBs. On the other hand, there exists a population of extragalactic fast X-ray transients (EFXTs) with timescales ranging from seconds to thousands of seconds, whose origins remain obscure. Known sources that contribute to the observed EFXT population include the softer analogs of LGRBs, shock breakouts of supernovae, or unsuccessful jets. Here, we report the discovery of the bright X-ray transient EP240414a detected by the Einstein Probe (EP), which is associated with the Type Ic supernova SN 2024gsa at a redshift of 0.401. The X-ray emission evolution is characterised by a very soft energy spectrum peaking at < 1.3 keV, which makes it distinct from known LGRBs, X-ray flashes, or low-luminosity GRBs. Follow-up observations at optical and radio bands revealed the existence of a weak relativistic jet that interacts with an extended shell surrounding the progenitor star. Located on the outskirts of a massive galaxy, this event reveals a new population of explosions of Wolf-Rayet stars characterised by a less powerful engine that drives a successful but weak jet, possibly owing to a progenitor star with a smaller core angular momentum than in traditional LGRB progenitors., Comment: 43 pages, 9 figures, 4 tables, submitted. Comments are welcome
Published: 2024

4. ANDES, the high resolution spectrograph for the ELT: science goals, project overview and future developments

Author: Marconi, A., Abreu, M., Adibekyan, V., Alberti, V., Albrecht, S., Alcaniz, J., Aliverti, M., Prieto, C. Allende, Gómez, J. D. Alvarado, Alves, C. S., Amado, P. J., Amate, M., Andersen, M. I., Antoniucci, S., Artigau, E., Bailet, C., Baker, C., Baldini, V., Balestra, A., Barnes, S. A., Baron, F., Barros, S. C. C., Bauer, S. M., Beaulieu, M., Bellido-Tirado, O., Benneke, B., Bensby, T., Bergin, E. A., Berio, P., Biazzo, K., Bigot, L., Bik, A., Birkby, J. L., Blind, N., Boebion, O., Boisse, I., Bolmont, E., Bolton, J. S., Bonaglia, M., Bonfils, X., Bonhomme, L., Borsa, F., Bouret, J. -C., Brandeker, A., Brandner, W., Broeg, C. H., Brogi, M., Brousseau, D., Brucalassi, A., Brynnel, J., Buchhave, L. A., Buscher, D. F., Cabona, L., Cabral, A., Calderone, G., Calvo-Ortega, R., Cantalloube, F., Martins, B. L. Canto, Carbonaro, L., Caujolle, Y., Chauvin, G., Chazelas, B., Cheffot, A. -L., Cheng, Y. S., Chiavassa, A., Christensen, L., Cirami, R., Cirasuolo, M., Cook, N. J., Cooke, R. J., Coretti, I., Covino, S., Cowan, N., Cresci, G., Cristiani, S., Parro, V. Cunha, Cupani, G., D'Odorico, V., Dadi, K., Leão, I. de Castro, De Cia, A., De Medeiros, J. R., Debras, F., Debus, M., Delorme, A., Demangeon, O., Derie, F., Dessauges-Zavadsky, M., Di Marcantonio, P., Di Stefano, S., Dionies, F., de Souza, A. Domiciano, Doyon, R., Dunn, J., Egner, S., Ehrenreich, D., Faria, J. P., Ferruzzi, D., Feruglio, C., Fisher, M., Fontana, A., Frank, B. S., Fuesslein, C., Fumagalli, M., Fusco, T., Fynbo, J., Gabella, O., Gaessler, W., Gallo, E., Gao, X., Genolet, L., Genoni, M., Giacobbe, P., Giro, E., Goncalves, R. S., Gonzalez, O. A., Hernández, J. I. González, Gouvret, C., Temich, F. Gracia, Haehnelt, M. G., Haniff, C., Hatzes, A., Helled, R., Hoeijmakers, H. J., Hughes, I., Huke, P., Ivanisenko, Y., Järvinen, A. S., Järvinen, S. P., Kaminski, A., Kern, J., Knoche, J., Kordt, A., Korhonen, H., Korn, A. J., Kouach, D., Kowzan, G., Kreidberg, L., Landoni, M., Lanotte, A. A., Lavail, A., Lavie, B., Lee, D., Lehmitz, M., Li, J., Li, W., Liske, J., Lovis, C., Lucatello, S., Lunney, D., MacIntosh, M. J., Madhusudhan, N., Magrini, L., Maiolino, R., Maldonado, J., Malo, L., Man, A. W. S., Marquart, T., Marques, C. M. J., Marques, E. L., Martinez, P., Martins, A., Martins, C. J. A. P., Martins, J. H. C., Maslowski, P., Mason, C. A., Mason, E., McCracken, R. A., Sousa, M. A. F. Melo e, Mergo, P., Micela, G., Milaković, D., Molliere, P., Monteiro, M. A., Montgomery, D., Mordasini, C., Morin, J., Mucciarelli, A., Murphy, M. T., N'Diaye, M., Nardetto, N., Neichel, B., Neri, N., Niedzielski, A. T., Niemczura, E., Nisini, B., Nortmann, L., Noterdaeme, P., Nunes, N. J., Oggioni, L., Olchewsky, F., Oliva, E., Onel, H., Origlia, L., Ostlin, G., Ouellette, N. N. -Q., Palle, E., Papaderos, P., Pariani, G., Pasquini, L., Castro, J. Peñate, Pepe, F., Peroux, C., Levasseur, L. Perreault, Perruchot, S., Petit, P., Pfuhl, O., Pino, L., Piqueras, J., Piskunov, N., Pollo, A., Poppenhaeger, K., Porru, M., Puschnig, J., Quirrenbach, A., Rauscher, E., Rebolo, R., Redaelli, E. M. A., Reffert, S., Reid, D. T., Reiners, A., Richter, P., Riva, M., Rivoire, S., Rodriguez-López, C., Roederer, I. U., Romano, D., Roth, M., Rousseau, S., Rowe, J., Saccardi, A., Salvadori, S., Sanna, N., Santos, N. C., Diaz, P. Santos, Sanz-Forcada, J., Sarajlic, M., Sauvage, J. -F., Savio, D., Scaudo, A, Schäfer, S., Schiavon, R. P., Schmidt, T. M., Selmi, C., Simoes, R., Simonnin, A., Sivanandam, S., Sordet, M., Sordo, R., Sortino, F., Sosnowska, D., Sousa, S. G., Spang, A., Spiga, R., Stempels, E., Stevenson, J. R. Y., Strassmeier, K. G., Mascareño, A. Suárez, Sulich, A., Sun, X., Tanvir, N. R., Tenegi-Sangines, F., Thibault, S., Thompson, S. J., Tisserand, P., Tozzi, A., Turbet, M., Veran, J. -P., Vallee, P., Vanni, I., Varas, R., Vega-Moreno, A., Venn, K. A., Verma, A., Vernet, J., Viel, M., Wade, G., Waring, C., Weber, M., Weder, J., Wehbe, B., Weingrill, J., Woche, M., Xompero, M., Zackrisson, E., Zanutta, A., Osorio, M. R. Zapatero, Zechmeister, M., and Zimara, J.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: The first generation of ELT instruments includes an optical-infrared high-resolution spectrograph, indicated as ELT-HIRES and recently christened ANDES (ArmazoNes high Dispersion Echelle Spectrograph). ANDES consists of three fibre-fed spectrographs ([U]BV, RIZ, YJH) providing a spectral resolution of $\sim$100,000 with a minimum simultaneous wavelength coverage of 0.4-1.8 $\mu$m with the goal of extending it to 0.35-2.4 $\mu$m with the addition of a U arm to the BV spectrograph and a separate K band spectrograph. It operates both in seeing- and diffraction-limited conditions and the fibre feeding allows several, interchangeable observing modes including a single conjugated adaptive optics module and a small diffraction-limited integral field unit in the NIR. Modularity and fibre-feeding allow ANDES to be placed partly on the ELT Nasmyth platform and partly in the Coud\'e room. ANDES has a wide range of groundbreaking science cases spanning nearly all areas of research in astrophysics and even fundamental physics. Among the top science cases, there are the detection of biosignatures from exoplanet atmospheres, finding the fingerprints of the first generation of stars, tests on the stability of Nature's fundamental couplings, and the direct detection of the cosmic acceleration. The ANDES project is carried forward by a large international consortium, composed of 35 Institutes from 13 countries, forming a team of almost 300 scientists and engineers which include the majority of the scientific and technical expertise in the field that can be found in ESO member states., Comment: SPIE astronomical telescope and instrumentation 2024, in press
Published: 2024

5. Interim report for the International Muon Collider Collaboration (IMCC)

Author: Accettura, C., Adrian, S., Agarwal, R., Ahdida, C., Aimé, C., Aksoy, A., Alberghi, G. L., Alden, S., Amapane, N., Amorim, D., Andreetto, P., Anulli, F., Appleby, R., Apresyan, A., Asadi, P., Mahmoud, M. Attia, Auchmann, B., Back, J., Badea, A., Bae, K. J., Bahng, E. J., Balconi, L., Balli, F., Bandiera, L., Barbagallo, C., Barlow, R., Bartoli, C., Bartosik, N., Barzi, E., Batsch, F., Bauce, M., Begel, M., Berg, J. S., Bersani, A., Bertarelli, A., Bertinelli, F., Bertolin, A., Bhat, P., Bianchi, C., Bianco, M., Bishop, W., Black, K., Boattini, F., Bogacz, A., Bonesini, M., Bordini, B., de Sousa, P. Borges, Bottaro, S., Bottura, L., Boyd, S., Breschi, M., Broggi, F., Brunoldi, M., Buffat, X., Buonincontri, L., Burrows, P. N., Burt, G. C., Buttazzo, D., Caiffi, B., Calatroni, S., Calviani, M., Calzaferri, S., Calzolari, D., Cantone, C., Capdevilla, R., Carli, C., Carrelli, C., Casaburo, F., Casarsa, M., Castelli, L., Catanesi, M. G., Cavallucci, L., Cavoto, G., Celiberto, F. G., Celona, L., Cemmi, A., Ceravolo, S., Cerri, A., Cerutti, F., Cesarini, G., Cesarotti, C., Chancé, A., Charitonidis, N., Chiesa, M., Chiggiato, P., Ciccarella, V. L., Puviani, P. Cioli, Colaleo, A., Colao, F., Collamati, F., Costa, M., Craig, N., Curtin, D., D'Angelo, L., Da Molin, G., Damerau, H., Dasu, S., de Blas, J., De Curtis, S., De Gersem, H., Del Moro, T., Delahaye, J. -P., Denisov, D., Denizli, H., Dermisek, R., Valdor, P. Desiré, Desponds, C., Di Luzio, L., Di Meco, E., Di Petrillo, K. F., Di Sarcina, I., Diociaiuti, E., Dorigo, T., Dreimanis, K., Pree, T. du, Edgecock, T., Fabbri, S., Fabbrichesi, M., Farinon, S., Ferrand, G., Somoza, J. A. Ferreira, Fieg, M., Filthaut, F., Fox, P., Franceschini, R., Ximenes, R. Franqueira, Gallinaro, M., Garcia-Sciveres, M., Garcia-Tabares, L., Gargiulo, R., Garion, C., Garzelli, M. V., Gast, M., Gerber, C. E., Giambastiani, L., Gianelle, A., Gianfelice-Wendt, E., Gibson, S., Gilardoni, S., Giove, D. A., Giovinco, V., Giraldin, C., Glioti, A., Gorzawski, A., Greco, M., Grojean, C., Grudiev, A., Gschwendtner, E., Gueli, E., Guilhaudin, N., Han, C., Han, T., Hauptman, J. M., Herndon, M., Hillier, A. D., Hillman, M., Holmes, T. R., Homiller, S., Jana, S., Jindariani, S., Johannesson, S., Johnson, B., Jones, O. R., Jurj, P. -B., Kahn, Y., Kamath, R., Kario, A., Karpov, I., Kelliher, D., Kilian, W., Kitano, R., Kling, F., Kolehmainen, A., Kong, K. C., Kosse, J., Krintiras, G., Krizka, K., Kumar, N., Kvikne, E., Kyle, R., Laface, E., Lane, K., Latina, A., Lechner, A., Lee, J., Lee, L., Lee, S. W., Lefevre, T., Leonardi, E., Lerner, G., Li, P., Li, Q., Li, T., Li, W., Voti, R. Li, Lindroos, M., Lipton, R., Liu, D., Liu, M., Liu, Z., Lombardi, A., Lomte, S., Long, K., Longo, L., Lorenzo, J., Losito, R., Low, I., Lu, X., Lucchesi, D., Luo, T., Lupato, A., Métral, E., Mękała, K., Ma, Y., Mańczak, J. M., Machida, S., Madlener, T., Magaletti, L., Maggi, M., Durand, H. Mainaud, Maltoni, F., Mandurrino, M., Marchand, C., Mariani, F., Marin, S., Mariotto, S., Martin-Haugh, S., Masullo, M. R., Mauro, G. S., Mazzolari, A., Mele, B., Meloni, F., Meng, X., Mentink, M., Miceli, R., Milas, N., Mohammadi, A., Moll, D., Montella, A., Morandin, M., Morrone, M., Mulder, T., Musenich, R., Nardecchia, M., Nardi, F., Neuffer, D., Newbold, D., Novelli, D., Olvegård, M., Onel, Y., Orestano, D., Osborne, J., Otten, S., Torres, Y. M. Oviedo, Paesani, D., Griso, S. Pagan, Pagani, D., Pal, K., Palmer, M., Pampaloni, A., Panci, P., Pani, P., Papaphilippou, Y., Paparella, R., Paradisi, P., Passeri, A., Pastrone, N., Pellecchia, A., Piccinini, F., Piekarz, H., Pieloni, T., Plouin, J., Portone, A., Potamianos, K., Potdevin, J., Prestemon, S., Puig, T., Qiang, J., Quettier, L., Rabemananjara, T. R., Radicioni, E., Radogna, R., Rago, I. C., Ratkus, A., Resseguie, E., Reuter, J., Ribani, P. L., Riccardi, C., Ricciardi, S., Robens, T., Robert, Y., Roger, C., Rojo, J., Romagnoni, M., Ronald, K., Rosser, B., Rossi, C., Rossi, L., Rozanov, L., Ruhdorfer, M., Ruiz, R., Queiroz, F. S., Saini, S., Sala, F., Salierno, C., Salmi, T., Salvini, P., Salvioni, E., Sammut, N., Santini, C., Saputi, A., Sarra, I., Scarantino, G., Schneider-Muntau, H., Schulte, D., Scifo, J., Sen, T., Senatore, C., Senol, A., Sertore, D., Sestini, L., Rêgo, R. C. Silva, Simone, F. M., Skoufaris, K., Sorbello, G., Sorbi, M., Sorti, S., Soubirou, L., Spataro, D., Stamerra, A., Stapnes, S., Stark, G., Statera, M., Stechauner, B. M., Su, S., Su, W., Sun, X., Sytov, A., Tang, J., Taylor, R., Kate, H. Ten, Testoni, P., Thiele, L. S., Garcia, R. Tomas, Mugglestone, M. Topp, Torims, T., Torre, R., Tortora, L. T., Trifinopoulos, S., Udongwo, S. -A., Vai, I., Valente, R. U., van Rienen, U., van Weelderen, R., Vanwelde, M., Velev, G., Venditti, R., Vendrasco, A., Verna, A., Verweij, A., Verwilligen, P., Villamzar, Y., Vittorio, L., Vitulo, P., Vojskovic, I., Wang, D., Wang, L. -T., Wang, X., Wendt, M., Widorski, M., Wozniak, M., Wu, Y., Wulzer, A., Xie, K., Yang, Y., Yap, Y. C., Yonehara, K., Yoo, H. D., You, Z., Zanetti, M., Zaza, A., Zhang, L., Zhu, R., Zlobin, A., Zuliani, D., and Zurita, J. F.
Subjects: Physics - Accelerator Physics, High Energy Physics - Experiment
Abstract: The International Muon Collider Collaboration (IMCC) [1] was established in 2020 following the recommendations of the European Strategy for Particle Physics (ESPP) and the implementation of the European Strategy for Particle Physics-Accelerator R&D Roadmap by the Laboratory Directors Group [2], hereinafter referred to as the the European LDG roadmap. The Muon Collider Study (MuC) covers the accelerator complex, detectors and physics for a future muon collider. In 2023, European Commission support was obtained for a design study of a muon collider (MuCol) [3]. This project started on 1st March 2023, with work-packages aligned with the overall muon collider studies. In preparation of and during the 2021-22 U.S. Snowmass process, the muon collider project parameters, technical studies and physics performance studies were performed and presented in great detail. Recently, the P5 panel [4] in the U.S. recommended a muon collider R&D, proposed to join the IMCC and envisages that the U.S. should prepare to host a muon collider, calling this their "muon shot". In the past, the U.S. Muon Accelerator Programme (MAP) [5] has been instrumental in studies of concepts and technologies for a muon collider., Comment: This document summarises the International Muon Collider Collaboration (IMCC) progress and status of the Muon Collider R&D programme
Published: 2024

6. Ising-type quantum spin liquid state in PrMgAl$_{11}$O$_{19}$

Author: Li, N., Rutherford, A., Wang, Y. Y., Liang, H., Li, Q. J., Zhang, Z. J., Wang, H., Xie, W., Zhou, H. D., and Sun, X. F.
Subjects: Condensed Matter - Strongly Correlated Electrons
Abstract: We have grown single crystals of PrMgAl$_{11}$O$_{19}$, an ideal triangular-lattice antiferromagnet, and performed magnetic susceptibility, specific heat and thermal conductivity measurements at low temperatures. The main results are as follows: (i) The temperature-dependent susceptibility shows a negligible in-plane response and the isothermal magnetization curves confirm the easy axis along the $c$ axis. (ii) The specific heat measurements reveal the absence of long-range magnetic order down to 60 mK, and the power-law temperature dependence indicates the existence of the gapless magnetic excitations in system. (iii) The ultralow-temperature thermal conductivity exhibits negligibly small residual term ($\kappa_0/T$) and strong spin-phonon scattering effect, suggesting that the spin excitations are also involved. Our results further demonstrate that PrMgAl$_{11}$O$_{19}$ is a rare quantum spin liquid candidate with Ising-like anisotropy., Comment: 8 pages, 5 figures
Published: 2024

7. The STAR Forward Silicon Tracker

Author: Brandenburg, J. D., Chang, Y., Dong, J., He, Y., Hu, Y., Huang, H., Huang, T., Li, H., Nie, M., Sharma, R., Sun, X., Tribedy, P., Videbæk, F., Visser, G., Wilks, G., Wang, P., Xie, G., Yan, G., Ye, Z., Yi, L., Yang, Y., Zhang, S., and Zhang, Z.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The Forward Silicon Tracker (FST) is a pivotal component of the forward upgrade of the Solenoidal Tracker at RHIC (STAR), designed to discern hadron charge signs with a momentum resolution better than 30\% for $0.2 < p_T < 2$ GeV/c in the $2.5 < \eta < 4$ pseudorapidity range. Its compact design features three disks along the beam direction, minimized material budget and scattering effects. The FST uses Hamamatsu's p-in-n silicon strip sensors with a double metal layer for efficient signal processing. The flexible hybrid boards, essential for the readout system, are constructed with Kapton and copper layers to optimize signal handling and power distribution. These boards connect silicon strips to analogue pipeline ASIC APV25-S1 chips, which read up to 128 channels each. A cooling system with nonconducting, volatile NOVEC 7200 coolant at 22.2{\deg}C mitigates ASIC-generated heat. The FST enhances forward tracking performance at RHIC, showcasing unique design solutions to complex challenges., Comment: 29 pages, 28 figures
Published: 2024

8. Imaging of single barium atoms in a second matrix site in solid xenon for barium tagging in a $^{136}$Xe double beta decay experiment

Author: Yvaine, M., Fairbank, D., Soderstrom, J., Taylor, C., Stanley, J., Walton, T., Chambers, C., Iverson, A., Fairbank, W., Kharusi, S. Al, Amy, A., Angelico, E., Anker, A., Arnquist, I. J., Atencio, A., Bane, J., Belov, V., Bernard, E. P., Bhatta, T., Bolotnikov, A., Breslin, J., Breur, P. A., Brodsky, J. P., Brown, E., Brunner, T., Caden, E., Cao, G. F., Cesmecioglu, D., Chambers, E., Chana, B., Chernyak, D., Chiu, M., Collister, R., Cvitan, M., Daniels, T., Darroch, L., DeVoe, R., di Vacri, M. L., Dolinski, M. J., Eckert, B., Elbeltagi, M., Elmansali, R., Fatemighomi, N., Foust, B., Fu, Y. S., Gallacher, D., Gallice, N., Giacomini, G., Gillis, W., Gingras, C., Gornea, R., Gratta, G., Hardy, C. A., Hedges, S., Hein, E., Holt, J. D., Hoppe, E. W., Karelin, A., Keblbeck, D., Kotov, I., Kuchenkov, A., Kumar, K. S., Kwiatkowski, A. A., Larson, A., Latif, M. B., Leach, K. G., Lennarz, A., Leonard, D. S., Lewis, H., Li, G., Li, Z., Licciardi, C., Lindsay, R., MacLellan, R., Majidi, S., Malbrunot, C., Masbou, J., McMichael, K., Peregrina, M. Medina, Moe, M., Mong, B., Moore, D. C., Natzke, C. R., Ngwadla, X. E., Ni, K., Nolan, A., Nowicki, S. C., Ondze, J. C. Nzobadila, Odian, A., Orrell, J. L., Ortega, G. S., Overman, C. T., Pagani, L., Smalley, H. Peltz, Perna, A., Pocar, A., Radeka, V., Raguzin, E., Rasiwala, H., Ray, D., Rescia, S., Richardson, G., Ross, R., Rowson, P. C., Saldanha, R., Sangiorgio, S., Schwartz, S., Sekula, S., Si, L., Soma, A. K., Spadoni, F., Stekhanov, V., Sun, X. L., Thibado, S., Tidball, A., Totev, T., Triambak, S., Tsang, T., Tyuka, O. A., van Bruggen, E., Vidal, M., Walent, M., Wamba, K., Wang, H. W., Wang, Q. D., Wang, W., Wang, Y. G., Watts, M., Wehrfritz, M., Wen, L. J., Wichoski, U., Wilde, S., Worcester, M., Xu, H., Yang, L., Yu, M., and Zeldovich, O.
Subjects: Physics - Atomic Physics, High Energy Physics - Experiment, Nuclear Experiment
Abstract: Neutrinoless double beta decay is one of the most sensitive probes for new physics beyond the Standard Model of particle physics. One of the isotopes under investigation is $^{136}$Xe, which would double beta decay into $^{136}$Ba. Detecting the single $^{136}$Ba daughter provides a sort of ultimate tool in the discrimination against backgrounds. Previous work demonstrated the ability to perform single atom imaging of Ba atoms in a single-vacancy site of a solid xenon matrix. In this paper, the effort to identify signal from individual barium atoms is extended to Ba atoms in a hexa-vacancy site in the matrix and is achieved despite increased photobleaching in this site. Abrupt fluorescence turn-off of a single Ba atom is also observed. Significant recovery of fluorescence signal lost through photobleaching is demonstrated upon annealing of Ba deposits in the Xe ice. Following annealing, it is observed that Ba atoms in the hexa-vacancy site exhibit antibleaching while Ba atoms in the tetra-vacancy site exhibit bleaching. This may be evidence for a matrix site transfer upon laser excitation. Our findings offer a path of continued research toward tagging of Ba daughters in all significant sites in solid xenon., Comment: 9 pages, 8 figures
Published: 2024

9. Observation of the Electromagnetic Dalitz Transition $h_c \rightarrow e^+e^-\eta_c$

Author: BESIII Collaboration, Ablikim, M., Achasov, M. N., Adlarson, P., Ahmed, S., Albrecht, M., Aliberti, R., Amoroso, A., An, M. R., An, Q., Bai, X. H., Bai, Y., Bakina, O., Ferroli, R. Baldini, Balossino, I., Ban, Y., Begzsuren, K., Berger, N., Bertani, M., Bettoni, D., Bianchi, F., Bloms, J., Bortone, A., Boyko, I., Briere, R. A., Cai, H., Cai, X., Calcaterra, A., Cao, G. F., Cao, N., Cetin, S. A., Chang, J. F., Chang, W. L., Chelkov, G., Chen, D. Y., Chen, G., Chen, H. S., Chen, M. L., Chen, S. J., Chen, X. R., Chen, Y. B., Chen, Z. J, Cheng, W. S., Cibinetto, G., Cossio, F., Cui, X. F., Dai, H. L., Dai, X. C., Dbeyssi, A., de Boer, R. E., Dedovich, D., Deng, Z. Y., Denig, A., Denysenko, I., Destefanis, M., De Mori, F., Ding, Y., Dong, C., Dong, J., Dong, L. Y., Dong, M. Y., Dong, X., Du, S. X., Fan, Y. L., Fang, J., Fang, S. S., Fang, Y., Farinelli, R., Fava, L., Feldbauer, F., Felici, G., Feng, C. Q., Feng, J. H., Fritsch, M., Fu, C. D., Gao, Y., Gao, Y. G., Garzia, I., Ge, P. T., Geng, C., Gersabeck, E. M., Gilman, A, Goetzen, K., Gong, L., Gong, W. X., Gradl, W., Greco, M., Gu, L. M., Gu, M. H., Gu, S., Gu, Y. T., Guan, C. Y, Guo, A. Q., Guo, L. B., Guo, R. P., Guo, Y. P., Guskov, A., Han, T. T., Han, W. Y., Hao, X. Q., Harris, F. A., Hüsken, N, He, K. L., Heinsius, F. H., Heinz, C. H., Held, T., Heng, Y. K., Herold, C., Himmelreich, M., Holtmann, T., Hou, Y. R., Hou, Z. L., Hu, H. M., Hu, J. F., Hu, T., Hu, Y., Huang, G. S., Huang, L. Q., Huang, X. T., Huang, Y. P., Huang, Z., Hussain, T., Andersson, W. Ikegami, Imoehl, W., Irshad, M., Jaeger, S., Janchiv, S., Ji, Q., Ji, Q. P., Ji, X. B., Ji, X. L., Ji, Y. Y., Jiang, H. B., Jiang, X. S., Jiao, J. B., Jiao, Z., Jin, S., Jin, Y., Johansson, T., Kalantar-Nayestanaki, N., Kang, X. S., Kappert, R., Kavatsyuk, M., Ke, B. C., Keshk, I. K., Khoukaz, A., Kiese, P., Kiuchi, R., Kliemt, R., Koch, L., Kolcu, O. B., Kopf, B., Kuemmel, M., Kuessner, M., Kupsc, A., Kurth, M. G., Kühn, W., Lane, J. J., Lange, J. S., Larin, P., Lavania, A., Lavezzi, L., Lei, Z. H., Leithoff, H., Lellmann, M., Lenz, T., Li, C., Li, C. H., Li, Cheng, Li, D. M., Li, F., Li, G., Li, H., Li, H. B., Li, H. J., Li, J. L., Li, J. Q., Li, J. S., Li, Ke, Li, L. K., Li, Lei, Li, P. R., Li, S. Y., Li, W. D., Li, W. G., Li, X. H., Li, X. L., Li, Xiaoyu, Li, Z. Y., Liang, H., Liang, Y. F., Liang, Y. T., Liao, G. R., Liao, L. Z., Libby, J., Lin, C. X., Liu, B. J., Liu, C. X., Liu, D., Liu, F. H., Liu, Fang, Liu, Feng, Liu, H. B., Liu, H. M., Liu, Huanhuan, Liu, Huihui, Liu, J. B., Liu, J. L., Liu, J. Y., Liu, K., Liu, K. Y., Liu, Ke, Liu, L., Liu, M. H., Liu, P. L., Liu, Q., Liu, S. B., Liu, Shuai, Liu, T., Liu, W. M., Liu, X., Liu, Y., Liu, Y. B., Liu, Z. A., Liu, Z. Q., Lou, X. C., Lu, F. X., Lu, H. J., Lu, J. D., Lu, J. G., Lu, X. L., Lu, Y., Lu, Y. P., Luo, C. L., Luo, M. X., Luo, P. W., Luo, T., Luo, X. L., Lusso, S., Lyu, X. R., Ma, F. C., Ma, H. L., Ma, L. L., Ma, M. M., Ma, Q. M., Ma, R. Q., Ma, R. T., Ma, X. X., Ma, X. Y., Maas, F. E., Maggiora, M., Maldaner, S., Malde, S., Malik, Q. A., Mangoni, A., Mao, Y. J., Mao, Z. P., Marcello, S., Meng, Z. X., Messchendorp, J. G., Mezzadri, G., Min, T. J., Mitchell, R. E., Mo, X. H., Mo, Y. J., Muchnoi, N. Yu., Muramatsu, H., Nakhoul, S., Nefedov, Y., Nerling, F., Nikolaev, I. B., Ning, Z., Nisar, S., Olsen, S. L., Ouyang, Q., Pacetti, S., Pan, X., Pan, Y., Pathak, A., Patteri, P., Pelizaeus, M., Peng, H. P., Peters, K., Pettersson, J., Ping, J. L., Ping, R. G., Poling, R., Prasad, V., Qi, H., Qi, H. R., Qi, K. H., Qi, M., Qi, T. Y., Qian, S., Qian, W. B., Qian, Z., Qiao, C. F., Qin, L. Q., Qin, X. P., Qin, X. S., Qin, Z. H., Qiu, J. F., Qu, S. Q., Rashid, K. H., Ravindran, K., Redmer, C. F., Rivetti, A., Rodin, V., Rolo, M., Rong, G., Rosner, Ch., Rump, M., Sang, H. S., Sarantsev, A., Schelhaas, Y., Schnier, C., Schoenning, K., Scodeggio, M., Shan, D. C., Shan, W., Shan, X. Y., Shangguan, J. F., Shao, M., Shen, C. P., Shen, P. X., Shen, X. Y., Shi, H. C., Shi, R. S., Shi, X., Shi, X. D, Song, J. J., Song, W. M., Song, Y. X., Sosio, S., Spataro, S., Su, K. X., Su, P. P., Sui, F. F., Sun, G. X., Sun, H. K., Sun, J. F., Sun, L., Sun, S. S., Sun, T., Sun, W. Y., Sun, X, Sun, Y. J., Sun, Y. K., Sun, Y. Z., Sun, Z. T., Tan, Y. H., Tan, Y. X., Tang, C. J., Tang, G. Y., Tang, J., Teng, J. X., Thoren, V., Tian, Y. T., Uman, I., Wang, B., Wang, C. W., Wang, D. Y., Wang, H. J., Wang, H. P., Wang, K., Wang, L. L., Wang, M., Wang, M. Z., Wang, Meng, Wang, W., Wang, W. H., Wang, W. P., Wang, X., Wang, X. F., Wang, X. L., Wang, Y., Wang, Y. D., Wang, Y. F., Wang, Y. Q., Wang, Y. Y., Wang, Z., Wang, Z. Y., Wang, Ziyi, Wang, Zongyuan, Wei, D. H., Weidenkaff, P., Weidner, F., Wen, S. P., White, D. J., Wiedner, U., Wilkinson, G., Wolke, M., Wollenberg, L., Wu, J. F., Wu, L. H., Wu, L. J., Wu, X., Wu, Z., Xia, L., Xiao, H., Xiao, S. Y., Xiao, Z. J., Xie, X. H., Xie, Y. G., Xie, Y. H., Xing, T. Y., Xu, G. F., Xu, Q. J., Xu, W., Xu, X. P., Xu, Y. C., Yan, F., Yan, L., Yan, W. B., Yan, W. C., Yan, Xu, Yang, H. J., Yang, H. X., Yang, L., Yang, S. L., Yang, Y. X., Yang, Yifan, Yang, Zhi, Ye, M., Ye, M. H., Yin, J. H., You, Z. Y., Yu, B. X., Yu, C. X., Yu, G., Yu, J. S., Yu, T., Yuan, C. Z., Yuan, L., Yuan, X. Q., Yuan, Y., Yuan, Z. Y., Yue, C. X., Yuncu, A., Zafar, A. A., Zeng, Y., Zhang, B. X., Zhang, Guangyi, Zhang, H., Zhang, H. H., Zhang, H. Y., Zhang, J. J., Zhang, J. L., Zhang, J. Q., Zhang, J. W., Zhang, J. Y., Zhang, J. Z., Zhang, Jianyu, Zhang, Jiawei, Zhang, L. M., Zhang, L. Q., Zhang, Lei, Zhang, S., Zhang, S. F., Zhang, Shulei, Zhang, X. D., Zhang, X. Y., Zhang, Y., Zhang, Y. H., Zhang, Y. T., Zhang, Yan, Zhang, Yao, Zhang, Yi, Zhang, Z. H., Zhang, Z. Y., Zhao, G., Zhao, J., Zhao, J. Y., Zhao, J. Z., Zhao, Lei, Zhao, Ling, Zhao, M. G., Zhao, Q., Zhao, S. J., Zhao, Y. B., Zhao, Y. X., Zhao, Z. G., Zhemchugov, A., Zheng, B., Zheng, J. P., Zheng, W. J., Zheng, Y., Zheng, Y. H., Zhong, B., Zhong, C., Zhou, L. P., Zhou, Q., Zhou, X., Zhou, X. K., Zhou, X. R., Zhou, X. Y., Zhu, A. N., Zhu, J., Zhu, K., Zhu, K. J., Zhu, S. H., Zhu, T. J., Zhu, W. J., Zhu, Y. C., Zhu, Z. A., Zou, B. S., and Zou, J. H.
Subjects: High Energy Physics - Experiment
Abstract: Using $(27.12\pm 0.14)\times10^8$ $\psi(3686)$ decays and data samples of $e^+e^-$ collisions with $\sqrt{s}$ from 4.130 to 4.780~GeV collected with the BESIII detector, we report the first observation of the electromagnetic Dalitz transition $h_c\to e^+e^-\eta_c$ with a statistical significance of $5.4\sigma$. We measure the ratio of the branching fractions $\frac{\mathcal{B}(h_c\rightarrow e^+e^-\eta_c)}{\mathcal{B}(h_c\rightarrow \gamma \eta_c)}$ separately for the $h_c$ samples produced via $\psi(3686)\to\pi^0h_c$ and $e^+e^-\to\pi^+\pi^-h_c$. The average ratio is determined to be $(0.59\pm0.10(\text{stat.})\pm0.04(\text{syst.}))\%$, where the uncertainty includes both statistical and systematic components.
Published: 2024

10. Constraints on Ultra Heavy Dark Matter Properties from Dwarf Spheroidal Galaxies with LHAASO Observations

Author: Cao, Zhen, Aharonian, F., An, Q., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, della Volpe, D., Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Heller, M., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Saiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo, X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena, High Energy Physics - Phenomenology
Abstract: In this work we try to search for signals generated by ultra-heavy dark matter at the Large High Altitude Air Shower Observatory (LHAASO) data. We look for possible gamma-ray by dark matter annihilation or decay from 16 dwarf spheroidal galaxies in the field of view of LHAASO. Dwarf spheroidal galaxies are among the most promising targets for indirect detection of dark matter which have low fluxes of astrophysical $\gamma$-ray background while large amount of dark matter. By analyzing more than 700 days observational data at LHAASO, no significant dark matter signal from 1 TeV to 1 EeV is detected. Accordingly we derive the most stringent constraints on the ultra-heavy dark matter annihilation cross-section up to EeV. The constraints on the lifetime of dark matter in decay mode are also derived., Comment: 17 pages, 12 figures, accepted by PRL
Published: 2024

11. Faraday moments of the Southern Twenty-centimeter All-sky Polarization Survey (STAPS)

Author: Raycheva, N., Haverkorn, M., Ideguchi, S., Stil, J. M., Sun, X., Han, J. L., Carretti, E., Gao, X. Y., Bracco, A., Clark, S. E., Dickey, J. M., Gaensler, B. M., Hill, A., Landecker, T., Ordog, A., Seta, A., Tahani, M., and Wolleben, M.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: Faraday tomography of broadband radio polarization surveys enables us to study magnetic fields and their interaction with the interstellar medium (ISM). Such surveys include the Global Magneto-Ionic Medium Survey (GMIMS), which covers the northern and southern hemispheres at $\sim$ 300-1800 MHz. In this work, we used the GMIMS High Band South (1328-1768 MHz), also named the Southern Twenty-centimeter All-sky Polarization Survey (STAPS), which observes the southern sky at a resolution of 18$\arcmin$. To extract the key parameters of the magnetized ISM from STAPS, we computed the Faraday moments of the tomographic data cubes. These moments include the total polarized intensity, the mean Faraday depth weighted by the polarized intensity, the weighted dispersion of the Faraday spectrum, and its skewness. We compared the Faraday moments to those calculated over the same frequency range in the northern sky (using the Dominion Radio Astrophysical Observatory, DRAO), in a strip of $360\degr \times 30\degr$ that overlaps with STAPS coverage. We find that the total polarized intensity is generally dominated by diffuse emission that decreases at longitudes of $l \leq 300\degr$. The Faraday moments reveal a variety of polarization structures. Low-intensity regions at high latitudes usually have a single Faraday depth component. Due to its insufficiently large frequency coverage, STAPS cannot detect Faraday thick structures. Comparing the Faraday depths from STAPS to total rotation measures from extragalactic sources suggests that STAPS frequencies are high enough that the intervening ISM causes depolarization to background emission at intermediate and high Galactic latitudes. Where they overlap, the STAPS and DRAO surveys exhibit broad correspondence but differ in polarized intensity by a factor of $\sim$1.8., Comment: Revision in progress in Astronomy and Astrophysics
Published: 2024

12. Supernova Electron-Neutrino Interactions with Xenon in the nEXO Detector

Author: nEXO Collaboration, Hedges, S., Kharusi, S. Al, Angelico, E., Brodsky, J. P., Richardson, G., Wilde, S., Amy, A., Anker, A., Arnquist, I. J., Arsenault, P., Atencio, A., Badhrees, I., Bane, J., Belov, V., Bernard, E. P., Bhatta, T., Bolotnikov, A., Breslin, J., Breur, P. A., Brown, E., Brunner, T., Caden, E., Cao, G. F., Cao, L. Q., Cesmecioglu, D., Chambers, E., Chana, B., Charlebois, S. A., Chernyak, D., Chiu, M., Collister, R., Cvitan, M., Dalmasson, J., Daniels, T., Darroch, L., DeVoe, R., di Vacri, M. L., Ding, Y. Y., Dolinski, M. J., Eckert, B., Elbeltagi, M., Elmansali, R., Fabris, L., Fairbank, W., Farine, J., Fatemighomi, N., Foust, B., Fu, Y. S., Gallacher, D., Gallice, N., Gillis, W., Goeldi, D., Gorham, A., Gornea, R., Gratta, G., Guan, Y. D., Hardy, C. A., Heffner, M., Hein, E., Holt, J. D., Hoppe, E. W., House, A., Hunt, W., Iverson, A., Kachru, P., Karelin, A., Keblbeck, D., Kuchenkov, A., Kumar, K. S., Larson, A., Latif, M. B., Leach, K. G., Lenardo, B. G., Leonard, D. S., Lewis, H., Li, G., Li, Z., Licciardi, C., Lindsay, R., MacLellan, R., Majidi, S., Malbrunot, C., Martel-Dion, P., Masbou, J., McMichael, K., Medina-Peregrina, M., Mong, B., Moore, D. C., Nattress, J., Natzke, C. R., Ngwadla, X. E., Ni, K., Nolan, A., Nowicki, S. C., Ondze, J. C. Nzobadila, Orrell, J. L., Ortega, G. S., Overman, C. T., Pagani, L., Smalley, H. Peltz, Perna, A., Piepke, A., Franco, T. Pinto, Pocar, A., Pratte, J. -F., Rasiwala, H., Ray, D., Raymond, K., Rescia, S., Riot, V., Ross, R., Saldanha, R., Sangiorgio, S., Schwartz, S., Sekula, S., Soderstrom, J., Soma, A. K., Spadoni, F., Sun, X. L., Thibado, S., Tidball, A., Totev, T., Triambak, S., Tsang, R. H. M., Tyuka, O. A., van Bruggen, E., Vidal, M., Viel, S., Walent, M., Wang, Q. D., Wang, W., Wang, Y. G., Watts, M., Wehrfritz, M., Wei, W., Wen, L. J., Wichoski, U., Wu, X. M., Xu, H., Yang, H. B., Yang, L., Yu, M., Yvaine, M., Zeldovich, O., and Zhao, J.
Subjects: High Energy Physics - Phenomenology, High Energy Physics - Experiment, Nuclear Theory
Abstract: Electron-neutrino charged-current interactions with xenon nuclei were modeled in the nEXO neutrinoless double-beta decay detector (~5-tonne, 90% ${}^{136}$Xe, 10% ${}^{134}$Xe) to evaluate its sensitivity to supernova neutrinos. Predictions for event rates and detectable signatures were modeled using the MARLEY event generator. We find good agreement between MARLEY's predictions and existing theoretical calculations of the inclusive cross sections at supernova neutrino energies. The interactions modeled by MARLEY were simulated within the nEXO simulation framework and were run through an example reconstruction algorithm to determine the detector's efficiency for reconstructing these events. The simulated data, incorporating the detector response, were used to study the ability of nEXO to reconstruct the incident electron-neutrino spectrum and these results were extended to a larger xenon detector of the same isotope enrichment. We estimate that nEXO will be able to observe electron-neutrino interactions with xenon from supernovae as far as 5 to 8 kpc from earth, while the ability to reconstruct incident electron-neutrino spectrum parameters from observed interactions in nEXO is limited to closer supernovae., Comment: 17 pages, 16 figures
Published: 2024

13. Spinons in a new Shastry-Sutherland lattice magnet Pr$_2$Ga$_2$BeO$_7$

Author: Li, N., Brassington, A., Shu, M. F., Wang, Y. Y., Liang, H., Li, Q. J., Zhao, X., Baker, P. J., Kikuchi, H., Masuda, T., Duan, G., Liu, C., Wang, H., Xie, W., Zhong, R., Ma, J., Yu, R., Zhou, H. D., and Sun, X. F.
Subjects: Condensed Matter - Strongly Correlated Electrons, Condensed Matter - Materials Science
Abstract: Identifying the elusive spinon excitations in quantum spin liquid (QSL) materials is what scientists have long sought for. Recently, thermal conductivity ($\kappa$) has emerged to be a decisive probe because the fermionic nature of spinons leads to a characteristic nonzero linear $\kappa_0/T$ term while approaching zero Kelvin. So far, only a few systems have been reported to exhibit such term. Here, we report a $\kappa_0/T \approx$ 0.01 WK$^{-2}$m$^{-1}$, the largest $\kappa_0/T$ value ever observed in magnetic oxide QSL candidates, in a new quantum magnet Pr$_2$Ga$_2$BeO$_7$ with a Shastry-Sutherland lattice (SSL). Its QSL nature is further supported by the power-law temperature dependence of the specific heat, a plateau of muon spin relaxation rate, and gapless inelastic neutron spectra. Our theoretical analysis reveals that the introduction of XY spin anisotropy is the key for Pr$_2$Ga$_2$BeO$_7$ to be the first QSL realized on the SSL, after more than four decades of extensive studies on this celebrated magnetically frustrated lattice., Comment: 20 pages, 6 figures, with Supplementary Information
Published: 2024

14. Data quality control system and long-term performance monitor of the LHAASO-KM2A

Author: Cao, Zhen, Aharonian, F., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Bian, W., Bukevich, A. V., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, H. X., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, J. H., Fang, K., Feng, C. F., Feng, H., Feng, L., Feng, S. H., Feng, X. T., Feng, Y., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., Hasan, M., He, H. H., He, H. N., He, J. Y., He, Y., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Karpikov, I., Kuleshov, D., Kurinov, K., Li, B. B., Li, C. M., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, Jian, Li, Jie, Li, K., Li, S. D., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, D. B., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Luo, Q., Luo, Y., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, L. J., Pattarakijwanich, P., Pei, Z. Y., Qi, J. C., Qi, M. Y., Qiao, B. Q., Qin, J. J., Raza, A., Ruffolo, D., Sáiz, A., Saeed, M., Semikoz, D., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, D. X., Sun, Q. N., Sun, X. N., Sun, Z. B., Takata, J., Tam, P. H. T., Tang, Q. W., Tang, R., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, Kai, Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, Q. W., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, Y. L., Xing, Y., Xiong, D. R., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, C. Y., Yang, F., Yang, F. F., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, W. X., Yao, Y. H., Yao, Z. G., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zhao, X. H., Zheng, F., Zhong, W. J., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, B. Y., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., Zou, Y. C., and Zuo, X.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: The KM2A is the largest sub-array of the Large High Altitude Air Shower Observatory (LHAASO). It consists of 5216 electromagnetic particle detectors (EDs) and 1188 muon detectors (MDs). The data recorded by the EDs and MDs are used to reconstruct primary information of cosmic ray and gamma-ray showers. This information is used for physical analysis in gamma-ray astronomy and cosmic ray physics. To ensure the reliability of the LHAASO-KM2A data, a three-level quality control system has been established. It is used to monitor the status of detector units, stability of reconstructed parameters and the performance of the array based on observations of the Crab Nebula and Moon shadow. This paper will introduce the control system and its application on the LHAASO-KM2A data collected from August 2021 to July 2023. During this period, the pointing and angular resolution of the array were stable. From the observations of the Moon shadow and Crab Nebula, the results achieved using the two methods are consistent with each other. According to the observation of the Crab Nebula at energies from 25 TeV to 100 TeV, the time averaged pointing errors are estimated to be $-0.003^{\circ} \pm 0.005^{\circ}$ and $0.001^{\circ} \pm 0.006^{\circ}$ in the R.A. and Dec directions, respectively., Comment: 15 pages, 9 figures
Published: 2024

15. Discovery of Very-high-energy Gamma-ray Emissions from the Low Luminosity AGN NGC 4278 by LHAASO

Author: Cao, Zhen, Aharonian, F., An, Q., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zheng, J. H., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., Zou, Y. C., and Zuo, X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: The first source catalog of Large High Altitude Air Shower Observatory reported the detection of a very-high-energy gamma ray source, 1LHAASO J1219+2915. In this paper a further detailed study of the spectral and temporal behavior of this point-like source have been carried. The best-fit position of the TeV source ($\rm{RA}=185.05^{\circ}\pm0.04^{\circ}$, $\rm{Dec}=29.25^{\circ}\pm0.03^{\circ}$) is compatible with NGC 4278 within $\sim0.03$ degree. Variation analysis shows an indication of the variability at a few months level in the TeV band, which is consistent with low frequency observations. Based on these observations, we report the detection of TeV $\gamma$-ray emissions from this low-luminosity AGN NGC 4278. The observations by LHAASO-WCDA during active period has a significance level of 8.8\,$\sigma$ with best-fit photon spectral index $\varGamma=2.56\pm0.14$ and a flux $f_{1-10\,\rm{TeV}}=(7.0\pm1.1_{\rm{sta}}\pm0.35_{\rm{syst}})\times10^{-13}\,\rm{photons\,cm^{-2}\,s^{-1}}$, or approximately $5\%$ of the Crab Nebula. The discovery of VHE from NGC 4278 indicates that the compact, weak radio jet can efficiently accelerate particles and emit TeV photons., Comment: 11 pages, 5 figures
Published: 2024

16. Soft X-ray prompt emission from a high-redshift gamma-ray burst EP240315a

Author: Liu, Y., Sun, H., Xu, D., Svinkin, D. S., Delaunay, J., Tanvir, N. R., Gao, H., Zhang, C., Chen, Y., Wu, X. -F., Zhang, B., Yuan, W., An, J., Bruni, G., Frederiks, D. D., Ghirlanda, G., Hu, J. -W., Li, A., Li, C. -K., Li, J. -D., Malesani, D. B., Piro, L., Raman, G., Ricci, R., Troja, E., Vergani, S. D., Wu, Q. -Y., Yang, J., Zhang, B. -B., Zhu, Z. -P., Postigo, A. de Ugarte, Demin, A. G., Dobie, D., Fan, Z., Fu, S. -Y., Fynbo, J. P. U., Geng, J. -J., Gianfagna, G., Hu, Y. -D., Huang, Y. -F., Jiang, S. -Q., Jonker, P. G., Julakanti, Y., Kennea, J. A., Kokomov, A. A., Kuulkers, E., Lei, W. -H., Leung, J. K., Levan, A. J., Li, D. -Y., Li, Y., Littlefair, S. P., Liu, X., Lysenko, A. L., Ma, Y. -N., Martin-Carrillo, A., O'Brien, P., Parsotan, T., Quirola-Vasquez, J., Ridnaia, A. V., Ronchini, S., Rossi, A., Mata-Sanchez, D., Schneider, B., Shen, R. -F., Thakur, A. L., Tohuvavohu, A., Torres, M. A. P., Tsvetkova, A. E., Ulanov, M. V., Wei, J. -J., Xiao, D., Yin, Y. -H. I., Bai, M., Burwitz, V., Cai, Z. -M., Chen, F. -S., Chen, H. -L., Chen, T. -X., Chen, W., Chen, Y. -F., Chen, Y. -H., Cheng, H. -Q., Cui, C. -Z., Cui, W. -W., Dai, Y. -F., Dai, Z. -G., Eder, J., Fan, D. -W., Feldman, C., Feng, H., Feng, Z., Friedrich, P., Gao, X., Guan, J., Han, D. -W, Han, J., Hou, D. -J., Hu, H. -B., Hu, T., Huang, M. -H., Huo, J., Hutchinson, I., Ji, Z., Jia, S. -M., Jia, Z. -Q., Jiang, B. -W., Jin, C. -C., Jin, G., Jin, J. -J., Keereman, A., Lerman, H., Li, J. -F., Li, L. -H., Li, M. -S., Li, W., Li, Z. -D., Lian, T. -Y., Liang, E. -W., Ling, Z. -X., Liu, C. -Z., Liu, H. -Y., Liu, H. -Q., Liu, M. -J., Liu, Y. -R., Lu, F. -J., LU, H. -J., Luo, L. -D., Ma, F. L., Ma, J., Mao, J. -R., Mao, X., McHugh, M., Meidinger, N., Nandra, K., Osborne, J. P., Pan, H. -W., Pan, X., Ravasio, M. E., Rau, A., Rea, N., Rehman, U., Sanders, J., Santovincenzo, A., Song, L. -M., Su, J., Sun, L. -J., Sun, S. -L., Sun, X. -J., Tan, Y. -Y., Tang, Q. -J., Tao, Y. -H., Tong, J. -Z., Wang, H., Wang, J., Wang, L., Wang, W. -X., Wang, X. -F., Wang, X. -Y., Wang, Y. -L., Wang, Y. -S., Wei, D. -M., Willingale, R., Xiong, S. -L., Xu, H. -T., Xu, J. -J., Xu, X. -P., Xu, Y. -F., Xu, Z., Xue, C. -B., Xue, Y. -L., Yan, A. -L., Yang, F., Yang, H. -N., Yang, X. -T., Yang, Y. -J, Yu, Y. -W., Zhang, J., Zhang, M., Zhang, S. -N., Zhang, W. -D., Zhang, W. -J., Zhang, Y. -H., Zhang, Z., Zhang, Z. -L., Zhao, D. -H., Zhao, H. -S., Zhao, X. -F., Zhao, Z. -J., Zhou, L. -X., Zhou, Y. -L., Zhu, Y. -X., Zhu, Z. -C., and Zuo, X. -X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: Long gamma-ray bursts (GRBs) are believed to originate from core collapse of massive stars. High-redshift GRBs can probe the star formation and reionization history of the early universe, but their detection remains rare. Here we report the detection of a GRB triggered in the 0.5--4 keV band by the Wide-field X-ray Telescope (WXT) on board the Einstein Probe (EP) mission, designated as EP240315a, whose bright peak was also detected by the Swift Burst Alert Telescope and Konus-Wind through off-line analyses. At a redshift of $z=4.859$, EP240315a showed a much longer and more complicated light curve in the soft X-ray band than in gamma-rays. Benefiting from a large field-of-view ($\sim$3600 deg$^2$) and a high sensitivity, EP-WXT captured the earlier engine activation and extended late engine activity through a continuous detection. With a peak X-ray flux at the faint end of previously known high-$z$ GRBs, the detection of EP240315a demonstrates the great potential for EP to study the early universe via GRBs., Comment: 41 pages, 8 figures, 7 tables
Published: 2024

17. Correlations of event activity with hard and soft processes in $p$ + Au collisions at $\sqrt{s_\mathrm{NN}}$ = 200 GeV at STAR

Author: STAR Collaboration, Abdulhamid, M. I., Aboona, B. E., Adam, J., Adamczyk, L., Adams, J. R., Aggarwal, I., Aggarwal, M. M., Ahammed, Z., Aschenauer, E. C., Aslam, S., Atchison, J., Bairathi, V., Cap, J. G. Ball, Barish, K., Bellwied, R., Bhagat, P., Bhasin, A., Bhatta, S., Bhosale, S. R., Bielcik, J., Bielcikova, J., Brandenburg, J. D., Broodo, C., Cai, X. Z., Caines, H., Sánchez, M. Calderón de la Barca, Cebra, D., Ceska, J., Chakaberia, I., Chaloupka, P., Chan, B. K., Chang, Z., Chatterjee, A., Chen, D., Chen, J., Chen, J. H., Chen, Z., Cheng, J., Cheng, Y., Christie, W., Chu, X., Crawford, H. J., Csanád, M., Dale-Gau, G., Das, A., Deppner, I. M., Dhamija, A., Dixit, P., Dong, X., Drachenberg, J. L., Duckworth, E., Dunlop, J. C., Engelage, J., Eppley, G., Esumi, S., Evdokimov, O., Eyser, O., Fatemi, R., Fazio, S., Feng, C. J., Feng, Y., Finch, E., Fisyak, Y., Flor, F. A., Fu, C., Gagliardi, C. A., Galatyuk, T., Gao, T., Geurts, F., Ghimire, N., Gibson, A., Gopal, K., Gou, X., Grosnick, D., Gupta, A., Guryn, W., Hamed, A., Han, Y., Harabasz, S., Harasty, M. D., Harris, J. W., Harrison-Smith, H., He, W., He, X. H., He, Y., Herrmann, N., Holub, L., Hu, C., Hu, Q., Hu, Y., Huang, H., Huang, H. Z., Huang, S. L., Huang, T., Huang, Y., Humanic, T. J., Isshiki, M., Jacobs, W. W., Jalotra, A., Jena, C., Jentsch, A., Ji, Y., Jia, J., Jin, C., Ju, X., Judd, E. G., Kabana, S., Kalinkin, D., Kang, K., Kapukchyan, D., Kauder, K., Keane, D., Khanal, A., Khyzhniak, Y. V., Kikoła, D. P., Kincses, D., Kisel, I., Kiselev, A., Knospe, A. G., Ko, H. S., Kołaś, J., Kosarzewski, L. K., Kumar, L., Labonte, M. C., Lacey, R., Landgraf, J. M., Lauret, J., Lebedev, A., Lee, J. H., Leung, Y. H., Li, C., Li, D., Li, H-S., Li, H., Li, W., Li, X., Li, Y., Li, Z., Liang, X., Liang, Y., Licenik, R., Lin, T., Lin, Y., Lisa, M. A., Liu, C., Liu, G., Liu, H., Liu, L., Liu, T., Liu, X., Liu, Y., Liu, Z., Ljubicic, T., Lomicky, O., Longacre, R. S., Loyd, E. M., Lu, T., Luo, J., Luo, X. F., Ma, L., Ma, R., Ma, Y. G., Magdy, N., Mallick, D., Manikandhan, R., Margetis, S., Markert, C., Matonoha, O., McNamara, G., Mezhanska, O., Mi, K., Mioduszewski, S., Mohanty, B., Mondal, B., Mondal, M. M., Mooney, I., Mrazkova, J., Nagy, M. I., Nain, A. S., Nam, J. D., Nasim, M., Neff, D., Nelson, J. M., Nie, M., Nigmatkulov, G., Niida, T., Nonaka, T., Odyniec, G., Ogawa, A., Oh, S., Okubo, K., Page, B. S., Pal, S., Pandav, A., Panday, A., Pandey, A. K., Pani, T., Paul, A., Pawlik, B., Pawlowska, D., Perkins, C., Pluta, J., Pokhrel, B. R., Posik, M., Protzman, T. L., Prozorova, V., Pruthi, N. K., Przybycien, M., Putschke, J., Qin, Z., Qiu, H., Racz, C., Radhakrishnan, S. K., Rana, A., Ray, R. L., Reed, R., Robertson, C. W., Robotkova, M., Aguilar, M. A. Rosales, Roy, D., Chowdhury, P. Roy, Ruan, L., Sahoo, A. K., Sahoo, N. R., Sako, H., Salur, S., Sato, S., Schaefer, B. C., Schmidke, W. B., Schmitz, N., Seck, F-J., Seger, J., Seto, R., Seyboth, P., Shah, N., Shanmuganathan, P. V., Shao, T., Sharma, M., Sharma, N., Sharma, R., Sharma, S. R., Sheikh, A. I., Shen, D., Shen, D. Y., Shen, K., Shi, S. S., Shi, Y., Shou, Q. Y., Si, F., Singh, J., Singha, S., Sinha, P., Skoby, M. J., Smirnov, N., Söhngen, Y., Song, Y., Srivastava, B., Stanislaus, T. D. S., Stefaniak, M., Stewart, D. J., Su, Y., Sumbera, M., Sun, C., Sun, X., Sun, Y., Surrow, B., Svoboda, M., Sweger, Z. W., Tamis, A. C., Tang, A. H., Tang, Z., Tarnowsky, T., Thomas, J. H., Timmins, A. R., Tlusty, D., Todoroki, T., Trentalange, S., Tribedy, P., Tripathy, S. K., Truhlar, T., Trzeciak, B. A., Tsai, O. D., Tsang, C. Y., Tu, Z., Tyler, J., Ullrich, T., Underwood, D. G., Upsal, I., Van Buren, G., Vanek, J., Vassiliev, I., Verkest, V., Videbæk, F., Voloshin, S. A., Wang, G., Wang, J. S., Wang, J., Wang, K., Wang, X., Wang, Y., Wang, Z., Webb, J. C., Weidenkaff, P. C., Westfall, G. D., Wielanek, D., Wieman, H., Wilks, G., Wissink, S. W., Witt, R., Wu, J., Wu, X., Xi, B., Xiao, Z. G., Xie, G., Xie, W., Xu, H., Xu, N., Xu, Q. H., Xu, Y., Xu, Z., Yan, G., Yan, Z., Yang, C., Yang, Q., Yang, S., Yang, Y., Ye, Z., Yi, L., Yu, Y., Zbroszczyk, H., Zha, W., Zhang, C., Zhang, D., Zhang, J., Zhang, S., Zhang, W., Zhang, X., Zhang, Y., Zhang, Z. J., Zhang, Z., Zhao, F., Zhao, J., Zhao, M., Zhou, S., Zhou, Y., Zhu, X., Zurek, M., and Zyzak, M.
Subjects: Nuclear Experiment
Abstract: With the STAR experiment at the BNL Relativisic Heavy Ion Collider, we characterize $\sqrt{s_\mathrm{NN}}$ = 200 GeV p+Au collisions by event activity (EA) measured within the pseudorapidity range $eta$ $in$ [-5, -3.4] in the Au-going direction and report correlations between this EA and hard- and soft- scale particle production at midrapidity ($\eta$ $\in$ [-1, 1]). At the soft scale, charged particle production in low-EA p+Au collisions is comparable to that in p+p collisions and increases monotonically with increasing EA. At the hard scale, we report measurements of high transverse momentum (pT) jets in events of different EAs. In contrast with the soft particle production, high-pT particle production and EA are found to be inversely related. To investigate whether this is a signal of jet quenching in high-EA events, we also report ratios of pT imbalance and azimuthal separation of dijets in high- and low-EA events. Within our measurement precision, no significant differences are observed, disfavoring the presence of jet quenching in the highest 30% EA p+Au collisions at $\sqrt{s_\mathrm{NN}}$ = 200 GeV., Comment: 12 page, 9 figures
Published: 2024
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18. LHAASO-KM2A detector simulation using Geant4

Author: Cao, Zhen, Aharonian, F., An, Q., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zheng, J. H., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo, X.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract: KM2A is one of the main sub-arrays of LHAASO, working on gamma ray astronomy and cosmic ray physics at energies above 10 TeV. Detector simulation is the important foundation for estimating detector performance and data analysis. It is a big challenge to simulate the KM2A detector in the framework of Geant4 due to the need to track numerous photons from a large number of detector units (>6000) with large altitude difference (30 m) and huge coverage (1.3 km^2). In this paper, the design of the KM2A simulation code G4KM2A based on Geant4 is introduced. The process of G4KM2A is optimized mainly in memory consumption to avoid memory overffow. Some simpliffcations are used to signiffcantly speed up the execution of G4KM2A. The running time is reduced by at least 30 times compared to full detector simulation. The particle distributions and the core/angle resolution comparison between simulation and experimental data of the full KM2A array are also presented, which show good agreement.
Published: 2024
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19. Measurements of All-Particle Energy Spectrum and Mean Logarithmic Mass of Cosmic Rays from 0.3 to 30 PeV with LHAASO-KM2A

Author: The LHAASO Collaboration, Cao, Zhen, Aharonian, F., An, Q., Axikegu, A., Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, della Volpe, D., Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Heller, M., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo, X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: We present the measurements of all-particle energy spectrum and mean logarithmic mass of cosmic rays in the energy range of 0.3-30 PeV using data collected from LHAASO-KM2A between September 2021 and December 2022, which is based on a nearly composition-independent energy reconstruction method, achieving unprecedented accuracy. Our analysis reveals the position of the knee at $3.67 \pm 0.05 \pm 0.15$ PeV. Below the knee, the spectral index is found to be -$2.7413 \pm 0.0004 \pm 0.0050$, while above the knee, it is -$3.128 \pm 0.005 \pm 0.027$, with the sharpness of the transition measured with a statistical error of 2%. The mean logarithmic mass of cosmic rays is almost heavier than helium in the whole measured energy range. It decreases from 1.7 at 0.3 PeV to 1.3 at 3 PeV, representing a 24% decline following a power law with an index of -$0.1200 \pm 0.0003 \pm 0.0341$. This is equivalent to an increase in abundance of light components. Above the knee, the mean logarithmic mass exhibits a power law trend towards heavier components, which is reversal to the behavior observed in the all-particle energy spectrum. Additionally, the knee position and the change in power-law index are approximately the same. These findings suggest that the knee observed in the all-particle spectrum corresponds to the knee of the light component, rather than the medium-heavy components., Comment: 8 pages, 3 figures
Published: 2024
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20. Cuprate-like Electronic Structures in Infinite-Layer Nickelates with Substantial Hole Dopings

Author: Ding, X., Fan, Y., Wang, X. X., Li, C. H., An, Z. T., Ye, J. H., Tang, S. L., Lei, M. Y. N., Sun, X. T., Guo, N., Chen, Z. H., Sangphet, S., Wang, Y. L., Xu, H. C., Peng, R., and Feng, D. L.
Subjects: Condensed Matter - Superconductivity, Condensed Matter - Materials Science, Condensed Matter - Strongly Correlated Electrons
Abstract: The superconducting infinite-layer (IL) nickelates offer a new platform for investigating the long-standing problem of high-temperature superconductivity. Many models were proposed to understand its superconducting mechanisms based on the calculated electronic structure, and the multiple Fermi surfaces and multiple orbitals involved create complications and controversial conclusions. Over the past 5 years, the lack of direct measurements of the electronic structure has hindered the understanding of nickelate superconductors. Here we fill this gap by directly resolving the electronic structures of the parent compound LaNiO$_2$ and superconducting La$_{0.8}$Ca$_{0.2}$NiO$_2$ using angle-resolved photoemission spectroscopy (ARPES). We find that their Fermi surfaces consist of a quasi-two-dimensional (quasi-2D) hole pocket and a three-dimensional (3D) electron pocket at the Brillouin zone corner, whose volumes change upon Ca doping. The Fermi surface topology and band dispersion of the hole pocket closely resemble those observed in hole-doped cuprates. However, the cuprate-like band exhibits significantly higher hole doping in superconducting La$_{0.8}$Ca$_{0.2}$NiO$_2$ compared to superconducting cuprates, highlighting the disparities in the electronic states of the superconducting phase. Our observations highlight the novel aspects of the IL nickelates, and pave the way toward the microscopic understanding of the IL nickelate family and its superconductivity., Comment: 12 pages, 4 figures
Published: 2024
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21. Quantum optics with giant atoms in a structured photonic bath

Author: Leonforte, L., Sun, X., Valenti, D., Spagnolo, B., Illuminati, F., Carollo, A., and Ciccarello, F.
Subjects: Quantum Physics
Abstract: We present a general framework to tackle quantum optics problems with giant atoms, i.e. quantum emitters each coupled {\it non-locally} to a structured photonic bath (typically a lattice) of any dimension. The theory encompasses the calculation and general properties of Green's functions, atom-photon bound states (BSs), collective master equations and decoherence-free Hamiltonians (DFHs), and is underpinned by a formalism where a giant atom is formally viewed as a normal atom lying at a fictitious location. As a major application, we provide for the first time a general criterion to predict/engineer DFHs of giant atoms, which can be applied both in and out of the photonic continuum and regardless of the structure or dimensionality of the photonic bath. This is used to show novel DFHs in 2D baths such as a square lattice and photonic graphene., Comment: 14 pages, 4 figures
Published: 2024

22. Characterization of pure-NaI crystal with SiPM readout at low temperatures

Author: Xie, X. L., Liang, X. H., Guo, C., Sun, X. L., Wang, L., and Chen, Y. D.
Published: 2024
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23. Effects of Vitamin D3 Combined with Folic Acid on Domain and Specific Cognitive Function among Patients with Mild Cognitive Impairment: A Randomized Clinical Trial

Author: Liu, Wen, Zheng, Deqiang, Li, X., Wang, T., Wang, L., Hao, L., Ju, M., Feng, W., Guo, Z., Sun, X., Yu, H., Qin, Z., and Xiao, Rong
Published: 2024
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24. Study of the blast resistance and protection mechanism of polyurea-coated armor composite structures: experiments and simulations

Author: He, J., Wang, X., Zhang, H., Sun, X., Wu, M., Pi, D., Qin, W., and Hu, Y.
Published: 2024
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25. Whole-Genome Resequencing Analysis of Hybrid White Goats to Identify Fertility-Related Genes

Author: Bao, M. H., Sun, X. M., Xu, J., and Li, Y. J.
Published: 2024
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26. Milling Tool Condition Monitoring Based on an Integrated Wireless Vibration Sensing Tool Holder

Author: Sun, X.
Published: 2024
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27. PRDM1 promotes the ferroptosis and immune escape of thyroid cancer by regulating USP15-mediated SELENBP1 deubiquitination

Author: Ma, J., Li, Z., Xu, J., Lai, J., Zhao, J., Ma, L., and Sun, X.
Published: 2024
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28. Association of noise exposure with lipid metabolism among Chinese adults: mediation role of obesity indices

Author: Chen, Z., Zhang, H., Huang, X., Tao, Y., Chen, Z., Sun, X., Zhang, M., Tse, L. A., Weng, S., Chen, W., Li, W., and Wang, D.
Published: 2024
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29. Observation of the Λb0→J/ψΞ-K+ decay

Author: Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Valle, A. Escalante Del, Hussain, P. S., Jeitler, M., Krammer, N., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Mechelen, P. Van, Bols, E. S., D’Hondt, J., Dansana, S., De Moor, A., Delcourt, M., El Faham, H., Lowette, S., Makarenko, I., Müller, D., Sahasransu, A. R., Tavernier, S., Tytgat, M., Van Putte, S., Vannerom, D., Clerbaux, B., De Lentdecker, G., Favart, L., Hohov, D., Jaramillo, J., Khalilzadeh, A., Lee, K., Mahdavikhorrami, M., Malara, A., Paredes, S., Pétré, L., Postiau, N., Thomas, L., Bemden, M. Vanden, Velde, C. Vander, Vanlaer, P., De Coen, M., Dobur, D., Hong, Y., Knolle, J., Lambrecht, L., Mestdach, G., Rendón, C., Samalan, A., Skovpen, K., Bossche, N. Van Den, Wezenbeek, L., Benecke, A., Bruno, G., Caputo, C., Delaere, C., Donertas, I. S., Giammanco, A., Jaffel, K., Jain, Sa., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Mondal, K., Tran, T. T., Wertz, S., Alves, G. A., Coelho, E., Hensel, C., De Oliveira, T. Menezes, Moraes, A., Teles, P. Rebello, Soeiro, M., Júnior, W. L. Aldá, Pereira, M. Alves Gallo, Filho, M. Barroso Ferreira, Malbouisson, H. Brandao, Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., De Souza, S. Fonseca, Martins, J., Herrera, C. Mora, Amarilo, K. Mota, Mundim, L., Nogima, H., Santoro, A., Sznajder, A., Thiel, M., Pereira, A. Vilela, Bernardes, C. A., Calligaris, L., Tomei, T. R. Fernandez Perez, Gregores, E. M., Mercadante, P. G., Novaes, S. F., Orzari, B., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Shopova, M., Sultanov, G., Dimitrov, A., Ivanov, T., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Thakur, S., Cheng, T., Guo, Q., Javaid, T., Mittal, M., Yuan, L., Bauer, G., Hu, Z., Liu, J., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Monti, F., Shahzad, M. A., Sharma, R., Song, J. N., Tao, J., Wang, C., Wang, J., Wang, Z., Zhang, H., Agapitos, A., Ban, Y., Levin, A., Li, C., Li, Q., Mao, Y., Qian, S. J., Sun, X., Wang, D., Yang, H., Zhang, L., Zhou, C., You, Z., Lu, N., Gao, X., Leggat, D., Okawa, H., Zhang, Y., Lin, Z., Lu, C., Xiao, M., Avila, C., Trujillo, D. A. Barbosa, Cabrera, A., Florez, C., Fraga, J., Vega, J. A. Reyes, Guisao, J. Mejia, Ramirez, F., Rodriguez, M., Alvarez, J. D. Ruiz, Giljanovic, D., Godinovic, N., Lelas, D., Sculac, A., Kovac, M., Sculac, T., Bargassa, P., Brigljevic, V., Chitroda, B. K., Ferencek, D., Mishra, S., Starodumov, A., Susa, T., Attikis, A., Christoforou, K., Konstantinou, S., Mousa, J., Nicolaou, C., Ptochos, F., Razis, P. A., Rykaczewski, H., Saka, H., Stepennov, A., Finger, M., Finger, Jr., M., Kveton, A., Ayala, E., Jarrin, E. Carrera, Abdalla, H., Assran, Y., Al-Mashad, M. Abdullah, Mahmoud, M. A., Dewanjee, R. K., Ehataht, K., Kadastik, M., Lange, T., Nandan, S., Nielsen, C., Pata, J., Raidal, M., Tani, L., Veelken, C., Kirschenmann, H., Osterberg, K., Voutilainen, M., Bharthuar, S., Brücken, E., Garcia, F., Havukainen, J., Kallonen, K. T. S., Kim, M. S., Kinnunen, R., Lampén, T., Lassila-Perini, K., Lehti, S., Lindén, T., Lotti, M., Martikainen, L., Myllymäki, M., Rantanen, M. M., Siikonen, H., Tuominen, E., Tuominiemi, J., Luukka, P., Petrow, H., Tuuva, T., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Gras, P., de Monchenault, G. Hamel, Lohezic, V., Malcles, J., Rander, J., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Simkina, P., Titov, M., Tornago, M., Barrera, C. Baldenegro, Beaudette, F., Perraguin, A. Buchot, Busson, P., Cappati, A., Charlot, C., Damas, F., Davignon, O., De Wit, A., Falmagne, G., Alves, B. A. Fontana Santos, Ghosh, S., Gilbert, A., de Cassagnac, R. Granier, Hakimi, A., Harikrishnan, B., Kalipoliti, L., Liu, G., Motta, J., Nguyen, M., Ochando, C., Portales, L., Salerno, R., Sarkar, U., Sauvan, J. B., Sirois, Y., Tarabini, A., Vernazza, E., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Apparu, D., Bloch, D., Brom, J.-M., Chabert, E. C., Collard, C., Falke, S., Goerlach, U., Grimault, C., Haeberle, R., Bihan, A.-C. Le, Sessini, M. A., Hove, P. Van, Beauceron, S., Blancon, B., Boudoul, G., Chanon, N., Choi, J., Contardo, D., Depasse, P., Dozen, C., Mamouni, H. El, Fay, J., Gascon, S., Gouzevitch, M., Greenberg, C., Grenier, G., Ille, B., Laktineh, I. B., Lethuillier, M., Mirabito, L., Perries, S., Purohit, A., Donckt, M. Vander, Verdier, P., Xiao, J., Adamov, G., Lomidze, I., Tsamalaidze, Z., Botta, V., Feld, L., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Röwert, N., Teroerde, M., Diekmann, S., Dodonova, A., Eich, N., Eliseev, D., Engelke, F., Erdmann, M., Fackeldey, P., Fischer, B., Hebbeker, T., Hoepfner, K., Ivone, F., Jung, A., Lee, M. Y., Mastrolorenzo, L., Merschmeyer, M., Meyer, A., Mukherjee, S., Noll, D., Novak, A., Nowotny, F., Pozdnyakov, A., Rath, Y., Redjeb, W., Rehm, F., Reithler, H., Sarkisovi, V., Schmidt, A., Sharma, A., Stein, A., Da Silva De Araujo, F. Torres, Vigilante, L., Wiedenbeck, S., Zaleski, S., Dziwok, C., Flügge, G., Ahmad, W. Haj, Kress, T., Nowack, A., Pooth, O., Stahl, A., Ziemons, T., Zotz, A., Petersen, H. Aarup, Martin, M. Aldaya, Alimena, J., Amoroso, S., An, Y., Baxter, S., Bayatmakou, M., Gonzalez, H. Becerril, Behnke, O., Belvedere, A., Bhattacharya, S., Blekman, F., Borras, K., Brunner, D., Campbell, A., Cardini, A., Cheng, C., Colombina, F., Rodríguez, S. Consuegra, Silva, G. Correia, De Silva, M., Eckerlin, G., Eckstein, D., Banos, L. I. Estevez, Filatov, O., Gallo, E., Geiser, A., Giraldi, A., Greau, G., Guglielmi, V., Guthoff, M., Hinzmann, A., Jafari, A., Jeppe, L., Jomhari, N. Z., Kaech, B., Kasemann, M., Kaveh, H., Kleinwort, C., Kogler, R., Komm, M., Krücker, D., Lange, W., Pernia, D. Leyva, Lipka, K., Lohmann, W., Mankel, R., Melzer-Pellmann, I.-A., Morentin, M. Mendizabal, Metwally, J., Meyer, A. B., Milella, G., Mussgiller, A., Nürnberg, A., Otarid, Y., Adán, D. Pérez, Ranken, E., Raspereza, A., Lopes, B. Ribeiro, Rübenach, J., Saggio, A., Scham, M., Schnake, S., Schütze, P., Schwanenberger, C., Selivanova, D., Shchedrolosiev, M., Ricardo, R. E. Sosa, Pramod, L. P. Sreelatha, Stafford, D., Vazzoler, F., Barroso, A. Ventura, Walsh, R., Wang, Q., Wen, Y., Wichmann, K., Wiens, L., Wissing, C., Wuchterl, S., Yang, Y., Santos, A. Zimermmane Castro, Albrecht, A., Albrecht, S., Antonello, M., Bein, S., Benato, L., Bonanomi, M., Connor, P., Eich, M., El Morabit, K., Fischer, Y., Fröhlich, A., Garbers, C., Garutti, E., Grohsjean, A., Hajheidari, M., Haller, J., Jabusch, H. R., Kasieczka, G., Keicher, P., Klanner, R., Korcari, W., Kramer, T., Kutzner, V., Labe, F., Lange, J., Lobanov, A., Matthies, C., Mehta, A., Moureaux, L., Mrowietz, M., Nigamova, A., Nissan, Y., Paasch, A., Rodriguez, K. J. Pena, Quadfasel, T., Raciti, B., Rieger, M., Savoiu, D., Schindler, J., Schleper, P., Schröder, M., Schwandt, J., Sommerhalder, M., Stadie, H., Steinbrück, G., Tews, A., Wolf, M., Brommer, S., Burkart, M., Butz, E., Chwalek, T., Dierlamm, A., Droll, A., Faltermann, N., Giffels, M., Gottmann, A., Hartmann, F., Hofsaess, R., Horzela, M., Husemann, U., Klute, M., Koppenhöfer, R., Link, M., Lintuluoto, A., Maier, S., Mitra, S., Mormile, M., Müller, Th., Neukum, M., Oh, M., Quast, G., Rabbertz, K., Regnery, B., Shadskiy, N., Shvetsov, I., Simonis, H. J., Trevisani, N., Ulrich, R., van der Linden, J., Cube, R. F. Von, Wassmer, M., Wieland, S., Wittig, F., Wolf, R., Wunsch, S., Zuo, X., Anagnostou, G., Assiouras, P., Daskalakis, G., Kyriakis, A., Papadopoulos, A., Stakia, A., Kontaxakis, P., Melachroinos, G., Panagiotou, A., Papavergou, I., Paraskevas, I., Saoulidou, N., Theofilatos, K., Tziaferi, E., Vellidis, K., Zisopoulos, I., Bakas, G., Chatzistavrou, T., Karapostoli, G., Kousouris, K., Papakrivopoulos, I., Siamarkou, E., Tsipolitis, G., Zacharopoulou, A., Adamidis, K., Bestintzanos, I., Evangelou, I., Foudas, C., Gianneios, P., Kamtsikis, C., Katsoulis, P., Kokkas, P., Kioseoglou, P. G. Kosmoglou, Manthos, N., Papadopoulos, I., Strologas, J., Bartók, M., Hajdu, C., Horvath, D., Sikler, F., Veszpremi, V., Csanád, M., Farkas, K., Gadallah, M. M. A., Kadlecsik, Á., Major, P., Mandal, K., Pásztor, G., Rádl, A. J., Veres, G. I., Raics, P., Ujvari, B., Zilizi, G., Bencze, G., Czellar, S., Karancsi, J., Molnar, J., Szillasi, Z., Csorgo, T., Nemes, F., Novak, T., Babbar, J., Bansal, S., Beri, S. B., Bhatnagar, V., Chaudhary, G., Chauhan, S., Dhingra, N., Kaur, A., Kaur, A., Kaur, H., Kaur, M., Kumar, S., Meena, M., Sandeep, K., Sheokand, T., Singh, J. B., Singla, A., Ahmed, A., Bhardwaj, A., Chhetri, A., Choudhary, B. C., Kumar, A., Naimuddin, M., Ranjan, K., Saumya, S., Acharya, S., Baradia, S., Barman, S., Bhattacharya, S., Bhowmik, D., Dutta, S., Dutta, S., Gomber, B., Palit, P., Saha, G., Sahu, B., Sarkar, S., Ameen, M. M., Behera, P. K., Behera, S. C., Chatterjee, S., Jana, P., Kalbhor, P., Komaragiri, J. R., Kumar, D., Panwar, L., Pradhan, R., Pujahari, P. R., Saha, N. R., Sharma, A., Sikdar, A. K., Verma, S., Aziz, T., Das, I., Dugad, S., Kumar, M., Mohanty, G. B., Suryadevara, P., Bala, A., Banerjee, S., Chatterjee, R. M., Guchait, M., Jain, Sh., Karmakar, S., Kumar, S., Majumder, G., Mazumdar, K., Mukherjee, S., Parolia, S., Thachayath, A., Bahinipati, S., Das, A. K., Kar, C., Maity, D., Mal, P., Mishra, T., Bindhu, V. K. Muraleedharan Nair, Naskar, K., Nayak, A., Sadangi, P., Saha, P., Swain, S. K., Varghese, S., Vats, D., Alpana, A., Dube, S., Kansal, B., Laha, A., Rastogi, A., Sharma, S., Bakhshiansohi, H., Khazaie, E., Zeinali, M., Chenarani, S., Etesami, S. M., Khakzad, M., Najafabadi, M. Mohammadi, Grunewald, M., Abbrescia, M., Aly, R., Colaleo, A., Creanza, D., D’Anzi, B., De Filippis, N., De Palma, M., Florio, A. Di, Elmetenawee, W., Fiore, L., Iaselli, G., Maggi, G., Maggi, M., Margjeka, I., Mastrapasqua, V., My, S., Nuzzo, S., Pellecchia, A., Pompili, A., Pugliese, G., Radogna, R., Ramirez-Sanchez, G., Ramos, D., Ranieri, A., Silvestris, L., Simone, F. M., Sözbilir, Ü., Stamerra, A., Venditti, R., Verwilligen, P., Zaza, A., Abbiendi, G., Battilana, C., Bonacorsi, D., Borgonovi, L., Campanini, R., Capiluppi, P., Cavallo, F. R., Cuffiani, M., Dallavalle, G. M., Diotalevi, T., Fabbri, F., Fanfani, A., Fasanella, D., Giacomelli, P., Giommi, L., Grandi, C., Guiducci, L., Meo, S. 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S., Zarubin, A., Zhizhin, I., and Zhokin, A.
Published: 2024
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30. Search for Higgs boson pair production with one associated vector boson in proton-proton collisions at s = 13 TeV

Author: Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Van Mechelen, P., Bols, E. S., D’Hondt, J., Dansana, S., De Moor, A., Delcourt, M., El Faham, H., Lowette, S., Makarenko, I., Müller, D., Sahasransu, A. R., Tavernier, S., Tytgat, M., Van Putte, S., Vannerom, D., Clerbaux, B., De Lentdecker, G., Favart, L., Hohov, D., Jaramillo, J., Khalilzadeh, A., Lee, K., Mahdavikhorrami, M., Malara, A., Paredes, S., Pétré, L., Postiau, N., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., De Coen, M., Dobur, D., Hong, Y., Knolle, J., Lambrecht, L., Mestdach, G., Rendón, C., Samalan, A., Skovpen, K., Van Den Bossche, N., Wezenbeek, L., Benecke, A., Bruno, G., Caputo, C., Delaere, C., Donertas, I. S., Giammanco, A., Jaffel, K., Jain, Sa., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Mondal, K., Tran, T. T., Wertz, S., Alves, G. A., Coelho, E., Hensel, C., Menezes De Oliveira, T., Moraes, A., Rebello Teles, P., Soeiro, M., Aldá Júnior, W. L., Alves Gallo Pereira, M., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Fonseca De Souza, S., Martins, J., Mora Herrera, C., Mota Amarilo, K., Mundim, L., Nogima, H., Santoro, A., Silva Do Amaral, S. M., Sznajder, A., Thiel, M., Vilela Pereira, A., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Mercadante, P. G., Novaes, S. F., Orzari, B., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Shopova, M., Sultanov, G., Dimitrov, A., Ivanov, T., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Thakur, S., Cheng, T., Guo, Q., Javaid, T., Mittal, M., Yuan, L., Bauer, G., Hu, Z., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Monti, F., Shahzad, M. A., Sharma, R., Song, J. N., Tao, J., Wang, C., Wang, J., Wang, Z., Zhang, H., Agapitos, A., Ban, Y., Levin, A., Li, C., Li, Q., Lyu, X., Mao, Y., Qian, S. J., Sun, X., Wang, D., Yang, H., Zhang, L., Zhou, C., You, Z., Lu, N., Gao, X., Leggat, D., Okawa, H., Zhang, Y., Lin, Z., Lu, C., Xiao, M., Avila, C., Barbosa Trujillo, D. A., Cabrera, A., Florez, C., Fraga, J., Reyes Vega, J. A., Mejia Guisao, J., Ramirez, F., Rodriguez, M., Ruiz Alvarez, J. 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A., Van Hove, P., Beauceron, S., Blancon, B., Boudoul, G., Chanon, N., Choi, J., Contardo, D., Depasse, P., Dozen, C., El Mamouni, H., Fay, J., Gascon, S., Gouzevitch, M., Greenberg, C., Grenier, G., Ille, B., Laktineh, I. B., Lethuillier, M., Mirabito, L., Perries, S., Vander Donckt, M., Verdier, P., Xiao, J., Adamov, G., Lomidze, I., Tsamalaidze, Z., Botta, V., Feld, L., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Röwert, N., Teroerde, M., Diekmann, S., Dodonova, A., Eich, N., Eliseev, D., Engelke, F., Erdmann, M., Fackeldey, P., Fischer, B., Hebbeker, T., Hoepfner, K., Ivone, F., Jung, A., Lee, M. y., Mastrolorenzo, L., Merschmeyer, M., Meyer, A., Mukherjee, S., Noll, D., Novak, A., Nowotny, F., Pozdnyakov, A., Rath, Y., Redjeb, W., Rehm, F., Reithler, H., Sarkisovi, V., Schmidt, A., Schuler, S. 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B., Milella, G., Mussgiller, A., Nürnberg, A., Otarid, Y., Pérez Adán, D., Ranken, E., Raspereza, A., Ribeiro Lopes, B., Rübenach, J., Saggio, A., Scham, M., Schnake, S., Schütze, P., Schwanenberger, C., Selivanova, D., Shchedrolosiev, M., Sosa Ricardo, R. E., Sreelatha Pramod, L. P., Stafford, D., Vazzoler, F., Ventura Barroso, A., Walsh, R., Wang, Q., Wen, Y., Wichmann, K., Wiens, L., Wissing, C., Wuchterl, S., Yang, Y., Zimermmane Castro Santos, A., Albrecht, A., Albrecht, S., Antonello, M., Bein, S., Benato, L., Bonanomi, M., Connor, P., Eich, M., El Morabit, K., Fischer, Y., Fröhlich, A., Garbers, C., Garutti, E., Grohsjean, A., Hajheidari, M., Haller, J., Jabusch, H. R., Kasieczka, G., Keicher, P., Klanner, R., Korcari, W., Kramer, T., Kutzner, V., Labe, F., Lange, J., Lobanov, A., Matthies, C., Mehta, A., Moureaux, L., Mrowietz, M., Nigamova, A., Nissan, Y., Paasch, A., Pena Rodriguez, K. J., Quadfasel, T., Raciti, B., Rieger, M., Savoiu, D., Schindler, J., Schleper, P., Schröder, M., Schwandt, J., Sommerhalder, M., Stadie, H., Steinbrück, G., Tews, A., Wolf, M., Brommer, S., Burkart, M., Butz, E., Chwalek, T., Dierlamm, A., Droll, A., Faltermann, N., Giffels, M., Gottmann, A., Hartmann, F., Hofsaess, R., Horzela, M., Husemann, U., Klute, M., Koppenhöfer, R., Link, M., Lintuluoto, A., Maier, S., Mitra, S., Mormile, M., Müller, Th., Neukum, M., Oh, M., Quast, G., Rabbertz, K., Regnery, B., Shadskiy, N., Shvetsov, I., Simonis, H. J., Trevisani, N., Ulrich, R., van der Linden, J., Von Cube, R. F., Wassmer, M., Wieland, S., Wittig, F., Wolf, R., Wunsch, S., Zuo, X., Anagnostou, G., Assiouras, P., Daskalakis, G., Kyriakis, A., Papadopoulos, A., Stakia, A., Kontaxakis, P., Melachroinos, G., Panagiotou, A., Papavergou, I., Paraskevas, I., Saoulidou, N., Theofilatos, K., Tziaferi, E., Vellidis, K., Zisopoulos, I., Bakas, G., Chatzistavrou, T., Karapostoli, G., Kousouris, K., Papakrivopoulos, I., Siamarkou, E., Tsipolitis, G., Zacharopoulou, A., Adamidis, K., Bestintzanos, I., Evangelou, I., Foudas, C., Gianneios, P., Kamtsikis, C., Katsoulis, P., Kokkas, P., Kosmoglou Kioseoglou, P. G., Manthos, N., Papadopoulos, I., Strologas, J., Bartók, M., Hajdu, C., Horvath, D., Sikler, F., Veszpremi, V., Csanád, M., Farkas, K., Gadallah, M. M. A., Kadlecsik, Á., Major, P., Mandal, K., Pásztor, G., Rádl, A. J., Veres, G. I., Raics, P., Ujvari, B., Zilizi, G., Bencze, G., Czellar, S., Karancsi, J., Molnar, J., Szillasi, Z., Csorgo, T., Nemes, F., Novak, T., Babbar, J., Bansal, S., Beri, S. B., Bhatnagar, V., Chaudhary, G., Chauhan, S., Dhingra, N., Gupta, R., Kaur, A., Kaur, A., Kaur, H., Kaur, M., Kumar, S., Meena, M., Sandeep, K., Sheokand, T., Singh, J. B., Singla, A., Ahmed, A., Bhardwaj, A., Chhetri, A., Choudhary, B. C., Kumar, A., Naimuddin, M., Ranjan, K., Saumya, S., Acharya, S., Baradia, S., Barman, S., Bhattacharya, S., Bhowmik, D., Dutta, S., Dutta, S., Gomber, B., Palit, P., Saha, G., Sahu, B., Sarkar, S., Ameen, M. M., Behera, P. K., Behera, S. C., Chatterjee, S., Jana, P., Kalbhor, P., Komaragiri, J. R., Kumar, D., Panwar, L., Pradhan, R., Pujahari, P. R., Saha, N. R., Sharma, A., Sikdar, A. K., Verma, S., Aziz, T., Das, I., Dugad, S., Kumar, M., Mohanty, G. B., Suryadevara, P., Bala, A., Banerjee, S., Chatterjee, R. M., Guchait, M., Karmakar, S., Kumar, S., Majumder, G., Mazumdar, K., Mukherjee, S., Thachayath, A., Bahinipati, S., Das, A. K., Kar, C., Maity, D., Mal, P., Mishra, T., Muraleedharan Nair Bindhu, V. 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M., Lista, L., Paolucci, P., Rossi, B., Sciacca, C., Ardino, R., Azzi, P., Bacchetta, N., Bortignon, P., Bragagnolo, A., Carlin, R., Checchia, P., Dorigo, T., Gasparini, F., Gasparini, U., Grosso, G., Layer, L., Lusiani, E., Margoni, M., Maron, G., Meneguzzo, A. T., Migliorini, M., Pazzini, J., Ronchese, P., Rossin, R., Simonetto, F., Strong, G., Tosi, M., Triossi, A., Ventura, S., Yarar, H., Zanetti, M., Zotto, P., Zucchetta, A., Zumerle, G., Abu Zeid, S., Aimè, C., Braghieri, A., Calzaferri, S., Fiorina, D., Montagna, P., Re, V., Riccardi, C., Salvini, P., Vai, I., Vitulo, P., Ajmal, S., Asenov, P., Bilei, G. M., Ciangottini, D., Fanò, L., Magherini, M., Mantovani, G., Mariani, V., Menichelli, M., Moscatelli, F., Piccinelli, A., Presilla, M., Rossi, A., Santocchia, A., Spiga, D., Tedeschi, T., Azzurri, P., Bagliesi, G., Bhattacharya, R., Bianchini, L., Boccali, T., Bossini, E., Bruschini, D., Castaldi, R., Ciocci, M. 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M., Ortona, G., Pacher, L., Pastrone, N., Pelliccioni, M., Ruspa, M., Siviero, F., Sola, V., Solano, A., Soldi, D., Staiano, A., Tarricone, C., Tornago, M., Trocino, D., Umoret, G., Vlasov, E., Belforte, S., Candelise, V., Casarsa, M., Cossutti, F., De Leo, K., Della Ricca, G., Dogra, S., Hong, J., Huh, C., Kim, B., Kim, D. H., Kim, J., Lee, H., Lee, S. W., Moon, C. S., Oh, Y. D., Ryu, M. S., Sekmen, S., Yang, Y. C., Bak, G., Gwak, P., Kim, H., Moon, D. H., Asilar, E., Kim, D., Kim, T. J., Merlin, J. A., Park, J., Choi, S., Han, S., Hong, B., Lee, K., Lee, K. S., Lee, S., Park, J., Park, S. K., Yoo, J., Goh, J., Kim, H. S., Kim, Y., Lee, S., Almond, J., Bhyun, J. H., Choi, J., Jun, W., Kim, J., Kim, J. S., Ko, S., Kwon, H., Lee, H., Lee, J., Lee, J., Oh, B. H., Oh, S. B., Seo, H., Yang, U. K., Yoon, I., Jang, W., Kang, D. Y., Kang, Y., Kim, S., Ko, B., Lee, J. S. H., Lee, Y., Park, I. C., Roh, Y., Watson, I. J., Yang, S., Ha, S., Yoo, H. D., Choi, M., Kim, M. 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S., Zarubin, A., Zhizhin, I., and Zhokin, A.
Published: 2024
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31. Search for a resonance decaying to a W boson and a photon in proton-proton collisions at s = 13 TeV using leptonic W boson decays

Author: Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Janssen, T., Van Laer, T., Van Mechelen, P., Breugelmans, N., D’Hondt, J., Dansana, S., De Moor, A., Delcourt, M., Heyen, F., Lowette, S., Makarenko, I., Müller, D., Tavernier, S., Tytgat, M., Van Onsem, G. P., Van Putte, S., Vannerom, D., Bilin, B., Clerbaux, B., Das, A. K., De Lentdecker, G., Evard, H., Favart, L., Gianneios, P., Jaramillo, J., Khalilzadeh, A., Khan, F. A., Lee, K., Mahdavikhorrami, M., Malara, A., Paredes, S., Shahzad, M. A., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., De Coen, M., Dobur, D., Gokbulut, G., Hong, Y., Knolle, J., Lambrecht, L., Marckx, D., Mota Amarilo, K., Samalan, A., Skovpen, K., Van Den Bossche, N., van der Linden, J., Wezenbeek, L., Benecke, A., Bethani, A., Bruno, G., Caputo, C., De Favereau De Jeneret, J., Delaere, C., Donertas, I. S., Giammanco, A., Guzel, A. O., Jain, Sa., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Tran, T. T., Wertz, S., Alves, G. A., Alves Gallo Pereira, M., Coelho, E., Correia Silva, G., Hensel, C., Menezes De Oliveira, T., Mora Herrera, C., Moraes, A., Rebello Teles, P., Soeiro, M., Vilela Pereira, A., Aldá Júnior, W. L., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Fonseca De Souza, S., Gomes De Souza, R., Macedo, M., Martins, J., Mundim, L., Nogima, H., Pinheiro, J. P., Santoro, A., Sznajder, A., Thiel, M., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Lopes Da Costa, B., Maietto Silverio, I., Mercadante, P. G., Novaes, S. F., Orzari, B., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Shopova, M., Sultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Laroze, D., Thakur, S., Cheng, T., Javaid, T., Yuan, L., Hu, Z., Liang, Z., Liu, J., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Sharma, R., Song, J. N., Tao, J., Wang, C., Wang, J., Wang, Z., Zhang, H., Zhao, J., Agapitos, A., Ban, Y., Deng, S., Guo, B., Jiang, C., Levin, A., Li, C., Li, Q., Mao, Y., Qian, S., Qian, S. J., Qin, X., Sun, X., Wang, D., Yang, H., Zhang, L., Zhao, Y., Zhou, C., Yang, S., You, Z., Jaffel, K., Lu, N., Bauer, G., Li, B., Zhang, J., Gao, X., Li, Y., Lin, Z., Lu, C., Xiao, M., Avila, C., Barbosa Trujillo, D. A., Cabrera, A., Florez, C., Fraga, J., Reyes Vega, J. A., Ramirez, F., Rendón, C., Rodriguez, M., Ruales Barbosa, A. A., Ruiz Alvarez, J. D., Giljanovic, D., Godinovic, N., Lelas, D., Sculac, A., Kovac, M., Petkovic, A., Sculac, T., Bargassa, P., Brigljevic, V., Chitroda, B. K., Ferencek, D., Jakovcic, K., Mishra, S., Starodumov, A., Susa, T., Attikis, A., Christoforou, K., Hadjiagapiou, A., Leonidou, C., Mousa, J., Nicolaou, C., Paizanos, L., Ptochos, F., Razis, P. A., Rykaczewski, H., Saka, H., Stepennov, A., Finger, M., Finger, Jr., M., Kveton, A., Carrera Jarrin, E., Assran, Y., El-mahdy, B., Elgammal, S., Mahmoud, M. A., Mohammed, Y., Ehataht, K., Kadastik, M., Lange, T., Nandan, S., Nielsen, C., Pata, J., Raidal, M., Tani, L., Veelken, C., Kirschenmann, H., Osterberg, K., Voutilainen, M., Bharthuar, S., Bin Norjoharuddeen, N., Brücken, E., Garcia, F., Inkaew, P., Kallonen, K. T. S., Lampén, T., Lassila-Perini, K., Lehti, S., Lindén, T., Martikainen, L., Myllymäki, M., Rantanen, M. m., Siikonen, H., Tuominiemi, J., Luukka, P., Petrow, H., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Gras, P., Hamel de Monchenault, G., Kumar, M., Lohezic, V., Malcles, J., Orlandi, F., Portales, L., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Simkina, P., Titov, M., Tornago, M., Beaudette, F., Boldrini, G., Busson, P., Cappati, A., Charlot, C., Chiusi, M., Damas, F., Davignon, O., De Wit, A., Ehle, I. T., Fontana Santos Alves, B. A., Ghosh, S., Gilbert, A., Granier de Cassagnac, R., Hakimi, A., Harikrishnan, B., Kalipoliti, L., Liu, G., Nguyen, M., Ochando, C., Salerno, R., Sauvan, J. B., Sirois, Y., Urda Gómez, L., Vernazza, E., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Apparu, D., Bloch, D., Brom, J.-M., Chabert, E. C., Collard, C., Falke, S., Goerlach, U., Haeberle, R., Le Bihan, A.-C., Meena, M., Poncet, O., Saha, G., Sessini, M. A., Van Hove, P., Vaucelle, P., Di Florio, A., Amram, D., Beauceron, S., Blancon, B., Boudoul, G., Chanon, N., Contardo, D., Depasse, P., Dozen, C., El Mamouni, H., Fay, J., Gascon, S., Gouzevitch, M., Greenberg, C., Grenier, G., Ille, B., Jourd‘huy, E., Laktineh, I. B., Lethuillier, M., Mirabito, L., Perries, S., Purohit, A., Vander Donckt, M., Verdier, P., Xiao, J., Bagaturia, I., Lomidze, I., Tsamalaidze, Z., Botta, V., Consuegra Rodríguez, S., Feld, L., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Pérez Adán, D., Röwert, N., Teroerde, M., Diekmann, S., Dodonova, A., Eich, N., Eliseev, D., Engelke, F., Erdmann, J., Erdmann, M., Fackeldey, P., Fischer, B., Hebbeker, T., Hoepfner, K., Ivone, F., Jung, A., Lee, M. y., Mausolf, F., Merschmeyer, M., Meyer, A., Mukherjee, S., Noll, D., Nowotny, F., Pozdnyakov, A., Rath, Y., Redjeb, W., Rehm, F., Reithler, H., Sarkisovi, V., Schmidt, A., Seth, C., Sharma, A., Spah, J. L., Stein, A., Torres Da Silva De Araujo, F., Wiedenbeck, S., Zaleski, S., Dziwok, C., Flügge, G., Kress, T., Nowack, A., Pooth, O., Stahl, A., Ziemons, T., Zotz, A., Aarup Petersen, H., Aldaya Martin, M., Alimena, J., Amoroso, S., An, Y., Bach, J., Baxter, S., Bayatmakou, M., Becerril Gonzalez, H., Behnke, O., Belvedere, A., Blekman, F., Borras, K., Campbell, A., Cardini, A., Cheng, C., Colombina, F., De Silva, M., Eckerlin, G., Eckstein, D., Estevez Banos, L. I., Filatov, O., Gallo, E., Geiser, A., Guglielmi, V., Guthoff, M., Hinzmann, A., Jeppe, L., Kaech, B., Kasemann, M., Kleinwort, C., Kogler, R., Komm, M., Krücker, D., Lange, W., Leyva Pernia, D., Lipka, K., Lohmann, W., Lorkowski, F., Mankel, R., Melzer-Pellmann, I.-A., Mendizabal Morentin, M., Meyer, A. B., Milella, G., Moral Figueroa, K., Mussgiller, A., Nair, L. P., Niedziela, J., Nürnberg, A., Otarid, Y., Park, J., Ranken, E., Raspereza, A., Rastorguev, D., Rübenach, J., Rygaard, L., Saggio, A., Scham, M., Schnake, S., Schütze, P., Schwanenberger, C., Selivanova, D., Sharko, K., Shchedrolosiev, M., Stafford, D., Vazzoler, F., Ventura Barroso, A., Walsh, R., Wang, D., Wang, Q., Wen, Y., Wichmann, K., Wiens, L., Wissing, C., Yang, Y., Zimermmane Castro Santos, A., Albrecht, A., Albrecht, S., Antonello, M., Bein, S., Benato, L., Bollweg, S., Bonanomi, M., Connor, P., El Morabit, K., Fischer, Y., Garutti, E., Grohsjean, A., Haller, J., Jabusch, H. R., Kasieczka, G., Keicher, P., Klanner, R., Korcari, W., Kramer, T., Kuo, C. c., Kutzner, V., Labe, F., Lange, J., Lobanov, A., Matthies, C., Moureaux, L., Mrowietz, M., Nigamova, A., Nissan, Y., Paasch, A., Pena Rodriguez, K. J., Quadfasel, T., Raciti, B., Rieger, M., Savoiu, D., Schindler, J., Schleper, P., Schröder, M., Schwandt, J., Sommerhalder, M., Stadie, H., Steinbrück, G., Tews, A., Wolf, M., Brommer, S., Burkart, M., Butz, E., Chwalek, T., Dierlamm, A., Droll, A., Elicabuk, U., Faltermann, N., Giffels, M., Gottmann, A., Hartmann, F., Hofsaess, R., Horzela, M., Husemann, U., Kieseler, J., Klute, M., Koppenhöfer, R., Lawhorn, J. M., Link, M., Lintuluoto, A., Maier, B., Maier, S., Mitra, S., Mormile, M., Müller, Th., Neukum, M., Oh, M., Pfeffer, E., Presilla, M., Quast, G., Rabbertz, K., Regnery, B., Shadskiy, N., Shvetsov, I., Simonis, H. J., Sowa, L., Stockmeier, L., Tauqeer, K., Toms, M., Trevisani, N., Von Cube, R. F., Wassmer, M., Wieland, S., Wittig, F., Wolf, R., Zuo, X., Anagnostou, G., Daskalakis, G., Kyriakis, A., Papadopoulos, A., Stakia, A., Kontaxakis, P., Melachroinos, G., Painesis, Z., Papavergou, I., Paraskevas, I., Saoulidou, N., Theofilatos, K., Tziaferi, E., Vellidis, K., Zisopoulos, I., Bakas, G., Chatzistavrou, T., Karapostoli, G., Kousouris, K., Papakrivopoulos, I., Siamarkou, E., Tsipolitis, G., Zacharopoulou, A., Adamidis, K., Bestintzanos, I., Evangelou, I., Foudas, C., Kamtsikis, C., Katsoulis, P., Kokkas, P., Kosmoglou Kioseoglou, P. G., Manthos, N., Papadopoulos, I., Strologas, J., Hajdu, C., Horvath, D., Márton, K., Rádl, A. J., Sikler, F., Veszpremi, V., Csanád, M., Farkas, K., Fehérkuti, A., Gadallah, M. M. A., Kadlecsik, Á., Major, P., Pásztor, G., Veres, G. I., Ujvari, B., Zilizi, G., Bencze, G., Czellar, S., Molnar, J., Szillasi, Z., Nemes, F., Novak, T., Bansal, S., Beri, S. B., Bhatnagar, V., Chaudhary, G., Chauhan, S., Dhingra, N., Kaur, A., Kaur, A., Kaur, H., Kaur, M., Kumar, S., Sandeep, K., Sheokand, T., Singh, J. B., Singla, A., Ahmed, A., Bhardwaj, A., Chhetri, A., Choudhary, B. C., Kumar, A., Kumar, A., Naimuddin, M., Ranjan, K., Saini, M. K., Saumya, S., Baradia, S., Barman, S., Bhattacharya, S., Das Gupta, S., Dutta, S., Dutta, S., Sarkar, S., Ameen, M. M., Behera, P. K., Behera, S. C., Chatterjee, S., Dash, G., Jana, P., Kalbhor, P., Kamble, S., Komaragiri, J. R., Kumar, D., Pujahari, P. R., Saha, N. R., Sharma, A., Sikdar, A. K., Singh, R. K., Verma, P., Verma, S., Vijay, A., Dugad, S., Mohanty, G. B., Parida, B., Shelake, M., Suryadevara, P., Bala, A., Banerjee, S., Chatterjee, R. M., Guchait, M., Jain, Sh., Jaiswal, A., Kumar, S., Majumder, G., Mazumdar, K., Parolia, S., Thachayath, A., Bahinipati, S., Kar, C., Maity, D., Mal, P., Mishra, T., Muraleedharan Nair Bindhu, V. K., Naskar, K., Nayak, A., Nayak, S., Pal, K., Sadangi, P., Swain, S. 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T., Malberti, M., Malvezzi, S., Massironi, A., Menasce, D., Moroni, L., Paganoni, M., Palluotto, S., Pedrini, D., Perego, A., Pinolini, B. S., Pizzati, G., Ragazzi, S., Tabarelli de Fatis, T., Buontempo, S., Cagnotta, A., Carnevali, F., Cavallo, N., Fabozzi, F., Iorio, A. O. M., Lista, L., Paolucci, P., Rossi, B., Ardino, R., Azzi, P., Bacchetta, N., Bisello, D., Bortignon, P., Bortolato, G., Bragagnolo, A., Bulla, A. C. M., Carlin, R., Checchia, P., Dorigo, T., Gasparini, F., Gasparini, U., Gulmini, M., Lusiani, E., Margoni, M., Migliorini, M., Pazzini, J., Ronchese, P., Rossin, R., Simonetto, F., Tosi, M., Triossi, A., Ventura, S., Zanetti, M., Zotto, P., Zucchetta, A., Zumerle, G., Aimè, C., Braghieri, A., Calzaferri, S., Fiorina, D., Montagna, P., Re, V., Riccardi, C., Salvini, P., Vai, I., Vitulo, P., Ajmal, S., Ascioti, M. E., Bilei, G. M., Carrivale, C., Ciangottini, D., Fanò, L., Magherini, M., Mariani, V., Menichelli, M., Moscatelli, F., Rossi, A., Santocchia, A., Spiga, D., Tedeschi, T., Alexe, C. A., Asenov, P., Azzurri, P., Bagliesi, G., Bhattacharya, R., Bianchini, L., Boccali, T., Bossini, E., Bruschini, D., Castaldi, R., Ciocci, M. A., Cipriani, M., D’Amante, V., Dell’Orso, R., Donato, S., Giassi, A., Ligabue, F., Marini, A. C., Matos Figueiredo, D., Messineo, A., Musich, M., Palla, F., Rizzi, A., Rolandi, G., Roy Chowdhury, S., Sarkar, T., Scribano, A., Spagnolo, P., Tenchini, R., Tonelli, G., Turini, N., Vaselli, F., Venturi, A., Verdini, P. 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G., León Coello, M., Murillo Quijada, J. A., Sehrawat, A., Valencia Palomo, L., Ayala, G., Castilla-Valdez, H., Crotte Ledesma, H., De La Cruz-Burelo, E., Heredia-De La Cruz, I., Lopez-Fernandez, R., Mejia Guisao, J., Mondragon Herrera, C. A., Sánchez Hernández, A., Oropeza Barrera, C., Ramirez Guadarrama, D. L., Ramírez García, M., Bautista, I., Pedraza, I., Salazar Ibarguen, H. A., Uribe Estrada, C., Bubanja, I., Raicevic, N., Butler, P. H., Ahmad, A., Asghar, M. I., Awais, A., Awan, M. I. M., Hoorani, H. R., Khan, W. A., Avati, V., Grzanka, L., Malawski, M., Bialkowska, H., Bluj, M., Górski, M., Kazana, M., Szleper, M., Zalewski, P., Bunkowski, K., Doroba, K., Kalinowski, A., Konecki, M., Krolikowski, J., Muhammad, A., Pozniak, K., Zabolotny, W., Araujo, M., Bastos, D., Beirão Da Cruz E Silva, C., Boletti, A., Bozzo, M., Camporesi, T., Da Molin, G., Faccioli, P., Gallinaro, M., Hollar, J., Leonardo, N., Marozzo, G. 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S., Zarubin, A., Zhizhin, I., and Zhokin, A.
Published: 2024
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32. Search for new physics in high-mass diphoton events from proton-proton collisions at s = 13 TeV

Author: Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Van Laer, T., Van Mechelen, P., Breugelmans, N., D’Hondt, J., Dansana, S., De Moor, A., Delcourt, M., Heyen, F., Lowette, S., Makarenko, I., Müller, D., Tavernier, S., Tytgat, M., Van Onsem, G. P., Van Putte, S., Vannerom, D., Bilin, B., Clerbaux, B., Das, A. K., De Lentdecker, G., Evard, H., Favart, L., Gianneios, P., Jaramillo, J., Khalilzadeh, A., Khan, F. A., Lee, K., Mahdavikhorrami, M., Malara, A., Paredes, S., Shahzad, M. A., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., De Coen, M., Dobur, D., Gokbulut, G., Hong, Y., Knolle, J., Lambrecht, L., Marckx, D., Mota Amarilo, K., Samalan, A., Skovpen, K., Van Den Bossche, N., van der Linden, J., Wezenbeek, L., Benecke, A., Bethani, A., Bruno, G., Caputo, C., De Favereau De Jeneret, J., Delaere, C., Donertas, I. S., Giammanco, A., Guzel, A. O., Jain, Sa., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Tran, T. T., Wertz, S., Alves, G. A., Alves Gallo Pereira, M., Coelho, E., Correia Silva, G., Hensel, C., Menezes De Oliveira, T., Moraes, A., Rebello Teles, P., Soeiro, M., Vilela Pereira, A., Aldá Júnior, W. L., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Fonseca De Souza, S., Gomes De Souza, R., Macedo, M., Martins, J., Mora Herrera, C., Mundim, L., Nogima, H., Pinheiro, J. P., Santoro, A., Sznajder, A., Thiel, M., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Maietto Silverio, I., Mercadante, P. G., Novaes, S. F., Orzari, B., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Shopova, M., Sultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Thakur, S., Cheng, T., Javaid, T., Yuan, L., Hu, Z., Liang, Z., Liu, J., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Sharma, R., Song, J. N., Tao, J., Wang, C., Wang, J., Wang, Z., Zhang, H., Zhao, J., Agapitos, A., Ban, Y., Deng, S., Guo, B., Jiang, C., Levin, A., Li, C., Li, Q., Mao, Y., Qian, S., Qian, S. J., Qin, X., Sun, X., Wang, D., Yang, H., Zhang, L., Zhao, Y., Zhou, C., Yang, S., You, Z., Jaffel, K., Lu, N., Bauer, G., Li, B., Zhang, J., Gao, X., Lin, Z., Lu, C., Xiao, M., Avila, C., Barbosa Trujillo, D. A., Cabrera, A., Florez, C., Fraga, J., Reyes Vega, J. A., Ramirez, F., Rendón, C., Rodriguez, M., Ruales Barbosa, A. A., Ruiz Alvarez, J. D., Giljanovic, D., Godinovic, N., Lelas, D., Sculac, A., Kovac, M., Petkovic, A., Sculac, T., Bargassa, P., Brigljevic, V., Chitroda, B. K., Ferencek, D., Jakovcic, K., Mishra, S., Starodumov, A., Susa, T., Attikis, A., Christoforou, K., Hadjiagapiou, A., Leonidou, C., Mousa, J., Nicolaou, C., Paizanos, L., Ptochos, F., Razis, P. A., Rykaczewski, H., Saka, H., Stepennov, A., Finger, M., Finger, Jr., M., Kveton, A., Carrera Jarrin, E., Assran, Y., El-mahdy, B., Elgammal, S., Mahmoud, M. A., Mohammed, Y., Ehataht, K., Kadastik, M., Lange, T., Nandan, S., Nielsen, C., Pata, J., Raidal, M., Tani, L., Veelken, C., Kirschenmann, H., Osterberg, K., Voutilainen, M., Bharthuar, S., Bin Norjoharuddeen, N., Brücken, E., Garcia, F., Inkaew, P., Kallonen, K. T. S., Lampén, T., Lassila-Perini, K., Lehti, S., Lindén, T., Martikainen, L., Myllymäki, M., Rantanen, M. m., Siikonen, H., Tuominiemi, J., Luukka, P., Petrow, H., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Gras, P., Hamel de Monchenault, G., Kumar, M., Lohezic, V., Malcles, J., Orlandi, F., Portales, L., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Simkina, P., Titov, M., Tornago, M., Beaudette, F., Boldrini, G., Busson, P., Cappati, A., Charlot, C., Chiusi, M., Damas, F., Davignon, O., De Wit, A., Ehle, I. T., Fontana Santos Alves, B. A., Ghosh, S., Gilbert, A., Granier de Cassagnac, R., Hakimi, A., Harikrishnan, B., Kalipoliti, L., Liu, G., Nguyen, M., Ochando, C., Salerno, R., Sauvan, J. B., Sirois, Y., Urda Gómez, L., Vernazza, E., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Apparu, D., Bloch, D., Brom, J.-M., Chabert, E. C., Collard, C., Falke, S., Goerlach, U., Haeberle, R., Le Bihan, A.-C., Meena, M., Poncet, O., Saha, G., Sessini, M. A., Van Hove, P., Vaucelle, P., Di Florio, A., Amram, D., Beauceron, S., Blancon, B., Boudoul, G., Chanon, N., Contardo, D., Depasse, P., Dozen, C., El Mamouni, H., Fay, J., Gascon, S., Gouzevitch, M., Greenberg, C., Grenier, G., Ille, B., Jourd‘huy, E., Laktineh, I. B., Lethuillier, M., Mirabito, L., Perries, S., Purohit, A., Vander Donckt, M., Verdier, P., Xiao, J., Lomidze, I., Toriashvili, T., Tsamalaidze, Z., Botta, V., Consuegra Rodríguez, S., Feld, L., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Pérez Adán, D., Röwert, N., Teroerde, M., Diekmann, S., Dodonova, A., Eich, N., Eliseev, D., Engelke, F., Erdmann, J., Erdmann, M., Fackeldey, P., Fischer, B., Hebbeker, T., Hoepfner, K., Ivone, F., Jung, A., Lee, M. y., Mausolf, F., Merschmeyer, M., Meyer, A., Mukherjee, S., Noll, D., Nowotny, F., Pozdnyakov, A., Rath, Y., Redjeb, W., Rehm, F., Reithler, H., Sarkisovi, V., Schmidt, A., Sharma, A., Spah, J. L., Stein, A., Torres Da Silva De Araujo, F., Wiedenbeck, S., Zaleski, S., Dziwok, C., Flügge, G., Kress, T., Nowack, A., Pooth, O., Stahl, A., Ziemons, T., Zotz, A., Aarup Petersen, H., Aldaya Martin, M., Alimena, J., Amoroso, S., An, Y., Bach, J., Baxter, S., Bayatmakou, M., Becerril Gonzalez, H., Behnke, O., Belvedere, A., Bhattacharya, S., Blekman, F., Borras, K., Campbell, A., Cardini, A., Cheng, C., Colombina, F., De Silva, M., Eckerlin, G., Eckstein, D., Estevez Banos, L. I., Filatov, O., Gallo, E., Geiser, A., Guglielmi, V., Guthoff, M., Hinzmann, A., Jeppe, L., Kaech, B., Kasemann, M., Kleinwort, C., Kogler, R., Komm, M., Krücker, D., Lange, W., Leyva Pernia, D., Lipka, K., Lohmann, W., Lorkowski, F., Mankel, R., Melzer-Pellmann, I.-A., Mendizabal Morentin, M., Meyer, A. B., Milella, G., Moral Figueroa, K., Mussgiller, A., Nair, L. P., Niedziela, J., Nürnberg, A., Otarid, Y., Park, J., Ranken, E., Raspereza, A., Rastorguev, D., Rübenach, J., Rygaard, L., Saggio, A., Scham, M., Schnake, S., Schütze, P., Schwanenberger, C., Selivanova, D., Sharko, K., Shchedrolosiev, M., Stafford, D., Vazzoler, F., Ventura Barroso, A., Walsh, R., Wang, D., Wang, Q., Wen, Y., Wichmann, K., Wiens, L., Wissing, C., Yang, Y., Zimermmane Castro Santos, A., Albrecht, A., Albrecht, S., Antonello, M., Bein, S., Benato, L., Bollweg, S., Bonanomi, M., Connor, P., El Morabit, K., Fischer, Y., Garutti, E., Grohsjean, A., Haller, J., Jabusch, H. R., Kasieczka, G., Keicher, P., Klanner, R., Korcari, W., Kramer, T., Kuo, C. c., Kutzner, V., Labe, F., Lange, J., Lobanov, A., Matthies, C., Moureaux, L., Mrowietz, M., Nigamova, A., Nissan, Y., Paasch, A., Pena Rodriguez, K. J., Quadfasel, T., Raciti, B., Rieger, M., Savoiu, D., Schindler, J., Schleper, P., Schröder, M., Schwandt, J., Sommerhalder, M., Stadie, H., Steinbrück, G., Tews, A., Wolf, M., Brommer, S., Burkart, M., Butz, E., Chwalek, T., Dierlamm, A., Droll, A., Faltermann, N., Giffels, M., Gottmann, A., Hartmann, F., Hofsaess, R., Horzela, M., Husemann, U., Kieseler, J., Klute, M., Koppenhöfer, R., Lawhorn, J. M., Link, M., Lintuluoto, A., Maier, B., Maier, S., Mitra, S., Mormile, M., Müller, Th., Neukum, M., Oh, M., Pfeffer, E., Presilla, M., Quast, G., Rabbertz, K., Regnery, B., Shadskiy, N., Shvetsov, I., Simonis, H. J., Sowa, L., Stockmeier, L., Tauqeer, K., Toms, M., Trevisani, N., Von Cube, R. F., Wassmer, M., Wieland, S., Wittig, F., Wolf, R., Zuo, X., Anagnostou, G., Daskalakis, G., Kyriakis, A., Papadopoulos, A., Stakia, A., Kontaxakis, P., Melachroinos, G., Painesis, Z., Papavergou, I., Paraskevas, I., Saoulidou, N., Theofilatos, K., Tziaferi, E., Vellidis, K., Zisopoulos, I., Bakas, G., Chatzistavrou, T., Karapostoli, G., Kousouris, K., Papakrivopoulos, I., Siamarkou, E., Tsipolitis, G., Zacharopoulou, A., Adamidis, K., Bestintzanos, I., Evangelou, I., Foudas, C., Kamtsikis, C., Katsoulis, P., Kokkas, P., Kosmoglou Kioseoglou, P. G., Manthos, N., Papadopoulos, I., Strologas, J., Hajdu, C., Horvath, D., Márton, K., Rádl, A. J., Sikler, F., Veszpremi, V., Csanád, M., Farkas, K., Fehérkuti, A., Gadallah, M. M. A., Kadlecsik, Á., Major, P., Pásztor, G., Veres, G. I., Ujvari, B., Zilizi, G., Bencze, G., Czellar, S., Molnar, J., Szillasi, Z., Novak, T., Babbar, J., Bansal, S., Beri, S. B., Bhatnagar, V., Chaudhary, G., Chauhan, S., Dhingra, N., Kaur, A., Kaur, A., Kaur, H., Kaur, M., Kumar, S., Sandeep, K., Sheokand, T., Singh, J. B., Singla, A., Ahmed, A., Bhardwaj, A., Chhetri, A., Choudhary, B. C., Kumar, A., Kumar, A., Naimuddin, M., Ranjan, K., Saini, M. K., Saumya, S., Baradia, S., Barman, S., Bhattacharya, S., Das Gupta, S., Dutta, S., Dutta, S., Sarkar, S., Ameen, M. M., Behera, P. K., Behera, S. C., Chatterjee, S., Dash, G., Jana, P., Kalbhor, P., Kamble, S., Komaragiri, J. R., Kumar, D., Pujahari, P. R., Saha, N. R., Sharma, A., Sikdar, A. K., Singh, R. K., Verma, P., Verma, S., Vijay, A., Dugad, S., Mohanty, G. B., Parida, B., Shelake, M., Suryadevara, P., Bala, A., Banerjee, S., Chatterjee, R. M., Guchait, M., Jain, Sh., Jaiswal, A., Kumar, S., Majumder, G., Mazumdar, K., Parolia, S., Thachayath, A., Bahinipati, S., Kar, C., Maity, D., Mal, P., Mishra, T., Muraleedharan Nair Bindhu, V. K., Naskar, K., Nayak, A., Nayak, S., Pal, K., Sadangi, P., Swain, S. K., Varghese, S., Vats, D., Acharya, S., Alpana, A., Dube, S., Gomber, B., Hazarika, P., Kansal, B., Laha, A., Sahu, B., Sharma, S., Vaish, K. Y., Bakhshiansohi, H., Jafari, A., Zeinali, M., Bashiri, S., Chenarani, S., Etesami, S. M., Hosseini, Y., Khakzad, M., Khazaie, E., Mohammadi Najafabadi, M., Tizchang, S., Felcini, M., Grunewald, M., Abbrescia, M., Colaleo, A., Creanza, D., D’Anzi, B., De Filippis, N., De Palma, M., Elmetenawee, W., Fiore, L., Iaselli, G., Longo, L., Louka, M., Maggi, G., Maggi, M., Margjeka, I., Mastrapasqua, V., My, S., Nuzzo, S., Pellecchia, A., Pompili, A., Pugliese, G., Radogna, R., Ramos, D., Ranieri, A., Silvestris, L., Simone, F. M., Sözbilir, Ü., Stamerra, A., Troiano, D., Venditti, R., Verwilligen, P., Zaza, A., Abbiendi, G., Battilana, C., Bonacorsi, D., Capiluppi, P., Cavallo, F. R., Cuffiani, M., Dallavalle, G. M., Diotalevi, T., Fabbri, F., Fanfani, A., Fasanella, D., Giacomelli, P., Giommi, L., Grandi, C., Guiducci, L., Lo Meo, S., Lorusso, M., Lunerti, L., Marcellini, S., Masetti, G., Navarria, F. L., Paggi, G., Perrotta, A., Primavera, F., Rossi, A. M., Rossi Tisbeni, S., Rovelli, T., Siroli, G. P., Costa, S., Di Mattia, A., Lapertosa, A., Potenza, R., Tricomi, A., Tuve, C., Assiouras, P., Barbagli, G., Bardelli, G., Camaiani, B., Cassese, A., Ceccarelli, R., Ciulli, V., Civinini, C., D’Alessandro, R., Focardi, E., Kello, T., Latino, G., Lenzi, P., Lizzo, M., Meschini, M., Paoletti, S., Papanastassiou, A., Sguazzoni, G., Viliani, L., Benussi, L., Bianco, S., Meola, S., Piccolo, D., Chatagnon, P., Ferro, F., Robutti, E., Tosi, S., Benaglia, A., Brivio, F., Cetorelli, F., De Guio, F., Dinardo, M. E., Dini, P., Gennai, S., Gerosa, R., Ghezzi, A., Govoni, P., Guzzi, L., Lucchini, M. T., Malberti, M., Malvezzi, S., Massironi, A., Menasce, D., Moroni, L., Paganoni, M., Palluotto, S., Pedrini, D., Perego, A., Pinolini, B. S., Pizzati, G., Ragazzi, S., Tabarelli de Fatis, T., Buontempo, S., Cagnotta, A., Carnevali, F., Cavallo, N., Fabozzi, F., Iorio, A. O. M., Lista, L., Paolucci, P., Rossi, B., Ardino, R., Azzi, P., Bacchetta, N., Bisello, D., Bortignon, P., Bortolato, G., Bragagnolo, A., Bulla, A. C. M., Carlin, R., Checchia, P., Dorigo, T., Gasparini, F., Lusiani, E., Margoni, M., Maron, G., Meneguzzo, A. T., Migliorini, M., Pazzini, J., Ronchese, P., Rossin, R., Simonetto, F., Tosi, M., Triossi, A., Ventura, S., Zanetti, M., Zotto, P., Zucchetta, A., Zumerle, G., Aimè, C., Braghieri, A., Calzaferri, S., Fiorina, D., Montagna, P., Re, V., Riccardi, C., Salvini, P., Vai, I., Vitulo, P., Ajmal, S., Ascioti, M. E., Bilei, G. M., Carrivale, C., Ciangottini, D., Fanò, L., Magherini, M., Mariani, V., Menichelli, M., Moscatelli, F., Rossi, A., Santocchia, A., Spiga, D., Tedeschi, T., Alexe, C. A., Asenov, P., Azzurri, P., Bagliesi, G., Bhattacharya, R., Bianchini, L., Boccali, T., Bossini, E., Bruschini, D., Castaldi, R., Ciocci, M. A., Cipriani, M., D’Amante, V., Dell’Orso, R., Donato, S., Giassi, A., Ligabue, F., Marini, A. C., Matos Figueiredo, D., Messineo, A., Musich, M., Palla, F., Rizzi, A., Rolandi, G., Roy Chowdhury, S., Sarkar, T., Scribano, A., Spagnolo, P., Tenchini, R., Tonelli, G., Turini, N., Vaselli, F., Venturi, A., Verdini, P. G., Baldenegro Barrera, C., Barria, P., Basile, C., Campana, M., Cavallari, F., Cunqueiro Mendez, L., Del Re, D., Di Marco, E., Diemoz, M., Errico, F., Longo, E., Mijuskovic, J., Organtini, G., Pandolfi, F., Paramatti, R., Quaranta, C., Rahatlou, S., Rovelli, C., Santanastasio, F., Soffi, L., Amapane, N., Arcidiacono, R., Argiro, S., Arneodo, M., Bartosik, N., Bellan, R., Bellora, A., Biino, C., Borca, C., Cartiglia, N., Costa, M., Covarelli, R., Demaria, N., Finco, L., Grippo, M., Kiani, B., Legger, F., Luongo, F., Mariotti, C., Markovic, L., Maselli, S., Mecca, A., Menzio, L., Meridiani, P., Migliore, E., Monteno, M., Mulargia, R., Obertino, M. M., Ortona, G., Pacher, L., Pastrone, N., Pelliccioni, M., Ruspa, M., Siviero, F., Sola, V., Solano, A., Staiano, A., Tarricone, C., Trocino, D., Umoret, G., White, R., Belforte, S., Candelise, V., Casarsa, M., Cossutti, F., De Leo, K., Della Ricca, G., Dogra, S., Hong, J., Huh, C., Kim, B., Kim, J., Lee, D., Lee, H., Lee, S. W., Moon, C. S., Oh, Y. D., Ryu, M. S., Sekmen, S., Tae, B., Yang, Y. C., Kim, M. S., Bak, G., Gwak, P., Kim, H., Moon, D. H., Asilar, E., Choi, J., Kim, D., Kim, T. J., Merlin, J. A., Ryou, Y., Choi, S., Han, S., Hong, B., Lee, K., Lee, K. S., Lee, S., Yoo, J., Goh, J., Yang, S., Kim, H. S., Kim, Y., Lee, S., Almond, J., Bhyun, J. H., Choi, J., Choi, J., Jun, W., Kim, J., Ko, S., Kwon, H., Lee, H., Lee, J., Lee, J., Oh, B. H., Oh, S. B., Seo, H., Yang, U. K., Yoon, I., Jang, W., Kang, D. Y., Kang, Y., Kim, S., Ko, B., Lee, J. S. H., Lee, Y., Park, I. C., Roh, Y., Watson, I. J., Ha, S., Yoo, H. D., Choi, M., Kim, M. R., Lee, H., Lee, Y., Yu, I., Beyrouthy, T., Gharbia, Y., Dreimanis, K., Gaile, A., Pikurs, G., Potrebko, A., Seidel, M., Sidiropoulos Kontos, D., Strautnieks, N. R., Ambrozas, M., Juodagalvis, A., Rinkevicius, A., Tamulaitis, G., Yusuff, I., Zolkapli, Z., Benitez, J. F., Castaneda Hernandez, A., Encinas Acosta, H. A., Gallegos Maríñez, L. G., León Coello, M., Murillo Quijada, J. A., Sehrawat, A., Valencia Palomo, L., Ayala, G., Castilla-Valdez, H., Crotte Ledesma, H., De La Cruz-Burelo, E., Heredia-De La Cruz, I., Lopez-Fernandez, R., Mejia Guisao, J., Mondragon Herrera, C. A., Sánchez Hernández, A., Oropeza Barrera, C., Ramirez Guadarrama, D. L., Ramírez García, M., Bautista, I., Pedraza, I., Salazar Ibarguen, H. A., Uribe Estrada, C., Bubanja, I., Raicevic, N., Butler, P. H., Ahmad, A., Asghar, M. I., Awais, A., Awan, M. I. M., Hoorani, H. R., Khan, W. A., Avati, V., Grzanka, L., Malawski, M., Bialkowska, H., Bluj, M., Górski, M., Kazana, M., Szleper, M., Zalewski, P., Bunkowski, K., Doroba, K., Kalinowski, A., Konecki, M., Krolikowski, J., Muhammad, A., Pozniak, K., Zabolotny, W., Araujo, M., Bastos, D., Beirão Da Cruz E Silva, C., Boletti, A., Bozzo, M., Camporesi, T., Da Molin, G., Faccioli, P., Gallinaro, M., Hollar, J., Leonardo, N., Marozzo, G. B., Niknejad, T., Petrilli, A., Pisano, M., Seixas, J., Varela, J., Wulff, J. W., Adzic, P., Milenovic, P., Dordevic, M., Milosevic, J., Nadderd, L., Rekovic, V., Alcaraz Maestre, J., Bedoya, Cristina F., Carretero, Oliver M., Cepeda, M., Cerrada, M., Colino, N., De La Cruz, B., Delgado Peris, A., Escalante Del Valle, A., Fernández Del Val, D., Fernández Ramos, J. P., Flix, J., Fouz, M. C., Gonzalez Lopez, O., Goy Lopez, S., Hernandez, J. M., Josa, M. I., Martin Viscasillas, E., Moran, D., Morcillo Perez, C. M., Navarro Tobar, Á., Perez Dengra, C., Pérez-Calero Yzquierdo, A., Puerta Pelayo, J., Redondo, I., Sánchez Navas, S., Sastre, J., Vazquez Escobar, J., de Trocóniz, J. F., Alvarez Gonzalez, B., Cuevas, J., Fernandez Menendez, J., Folgueras, S., Gonzalez Caballero, I., González Fernández, J. R., Leguina, P., Palencia Cortezon, E., Prado Pico, J., Ramón Álvarez, C., Rodríguez Bouza, V., Soto Rodríguez, A., Trapote, A., Vico Villalba, C., Vischia, P., Bhowmik, S., Blanco Fernández, S., Brochero Cifuentes, J. A., Cabrillo, I. 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S., Zarubin, A., Zhizhin, I., and Zhokin, A.
Published: 2024
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33. Multiplicity and transverse momentum dependence of charge-balance functions in pPb and PbPb collisions at LHC energies

Author: Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Kello, T., Van Mechelen, P., Bols, E. S., D’Hondt, J., De Moor, A., Delcourt, M., El Faham, H., Lowette, S., Morton, A., Müller, D., Sahasransu, A. R., Tavernier, S., Van Doninck, W., Van Putte, S., Vannerom, D., Clerbaux, B., Dansana, S., De Lentdecker, G., Favart, L., Hohov, D., Jaramillo, J., Lee, K., Mahdavikhorrami, M., Makarenko, I., Malara, A., Paredes, S., Pétré, L., Postiau, N., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., Dobur, D., Knolle, J., Lambrecht, L., Mestdach, G., Rendón, C., Samalan, A., Skovpen, K., Tytgat, M., Van Den Bossche, N., Vermassen, B., Wezenbeek, L., Benecke, A., Bruno, G., Bury, F., Caputo, C., David, P., Delaere, C., Donertas, I. S., Giammanco, A., Jaffel, K., Jain, Sa., Lemaitre, V., Lidrych, J., Mondal, K., Tran, T. T., Vischia, P., Wertz, S., Alves, G. A., Coelho, E., Hensel, C., Moraes, A., Rebello Teles, P., Aldá Júnior, W. L., Alves Gallo Pereira, M., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Dos Santos Sousa, V., Fonseca De Souza, S., Martins, J., Mora Herrera, C., Mota Amarilo, K., Mundim, L., Nogima, H., Santoro, A., Silva Do Amaral, S. M., Sznajder, A., Thiel, M., Vilela Pereira, A., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Mercadante, P. G., Novaes, S. F., Orzari, B., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Rodozov, M., Shopova, M., Sultanov, G., Dimitrov, A., Ivanov, T., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Thakur, S., Cheng, T., Guo, Q., Javaid, T., Mittal, M., Yuan, L., Bauer, G., Hu, Z., Lezki, S., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Milosevic, V., Monti, F., Sharma, R., Tao, J., Wang, J., Zhang, H., Zhao, J., Agapitos, A., Ban, Y., Carvalho Antunes De Oliveira, A., Levin, A., Li, C., Li, Q., Lyu, X., Mao, Y., Qian, S. 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S., Zarubin, A., Zhizhin, I., and Zhokin, A.
Published: 2024
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34. Measurement of multijet azimuthal correlations and determination of the strong coupling in proton-proton collisions at s=13TeV

Author: Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Van Mechelen, P., Bols, E. S., D’Hondt, J., Dansana, S., De Moor, A., Delcourt, M., El Faham, H., Lowette, S., Makarenko, I., Müller, D., Sahasransu, A. R., Tavernier, S., Tytgat, M., Van Onsem, G. P., Van Putte, S., Vannerom, D., Clerbaux, B., Das, A. K., De Lentdecker, G., Favart, L., Hohov, D., Jaramillo, J., Khalilzadeh, A., Lee, K., Mahdavikhorrami, M., Malara, A., Paredes, S., Pétré, L., Postiau, N., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., De Coen, M., Dobur, D., Hong, Y., Knolle, J., Lambrecht, L., Mestdach, G., Amarilo, K. 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S., Zarubin, A., Zhizhin, I., and Zhokin, A.
Published: 2024
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35. Constraints on anomalous Higgs boson couplings from its production and decay using the WW channel in proton–proton collisions at s=13TeV

Author: Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Van Mechelen, P., Bols, E. S., D’Hondt, J., Dansana, S., De Moor, A., Delcourt, M., El Faham, H., Lowette, S., Makarenko, I., Müller, D., Sahasransu, A. R., Tavernier, S., Tytgat, M., Van Onsem, G. P., Van Putte, S., Vannerom, D., Clerbaux, B., Das, A. K., De Lentdecker, G., Favart, L., Gianneios, P., Hohov, D., Jaramillo, J., Khalilzadeh, A., Lee, K., Mahdavikhorrami, M., Malara, A., Paredes, S., Pétré, L., Postiau, N., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., De Coen, M., Dobur, D., Hong, Y., Knolle, J., Lambrecht, L., Mestdach, G., Mota Amarilo, K., Rendón, C., Samalan, A., Skovpen, K., Van Den Bossche, N., van der Linden, J., Wezenbeek, L., Benecke, A., Bethani, A., Bruno, G., Caputo, C., Delaere, C., Donertas, I. S., Giammanco, A., Jaffel, K., Jain, Sa., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Mondal, K., Tran, T. T., Wertz, S., Alves, G. A., Coelho, E., Hensel, C., De Oliveira, T. Menezes, Moraes, A., Rebello Teles, P., Soeiro, M., Aldá Júnior, W. L., Alves Gallo Pereira, M., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Fonseca De Souza, S., Gomes De Souza, R., Martins, J., Mora Herrera, C., Mundim, L., Nogima, H., Pinheiro, J. P., Santoro, A., Sznajder, A., Thiel, M., Vilela Pereira, A., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Mercadante, P. G., Novaes, S. F., Orzari, B., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Shopova, M., Sultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Thakur, S., Cheng, T., Javaid, T., Yuan, L., Hu, Z., Liu, J., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Sharma, R., Song, J. N., Tao, J., Wang, C., Wang, J., Wang, Z., Zhang, H., Agapitos, A., Ban, Y., Levin, A., Li, C., Li, Q., Mao, Y., Qian, S. 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S., Zarubin, A., Zhizhin, I., and Zhokin, A.
Published: 2024
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36. The Potential Role of SNRPD1 Stabilized by IGF2BP2 in the Progression of Triple-Negative Breast Cancer

Author: Liu S, Sun X, Liu N, and Lin F
Subjects: triple-negative breast cancer, igf2bp2, snrpd1, m6a-dependent, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Siqi Liu, Xin Sun, Na Liu, Fangcai Lin Department of Breast Surgery, Beijing Electric Power Hospital, Beijing, 100071, People’s Republic of ChinaCorrespondence: Fangcai Lin, Beijing Electric Power Hospital, Beijing, 100071, People’s Republic of China, Email bjdltgyx@163.comBackground: Insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2), an RNA-binding protein with N6-methyladenosine (m6A) reader function, is associated with the poor prognosis of various tumors, including triple-negative breast cancer (TNBC). Small nuclear ribonucleoprotein D1 polypeptide (SNRPD1), a spliceosome member, exerts diagnostic and therapeutic functions in breast cancer by regulating the cell cycle and is a potential therapeutic target. However, the interaction between IGF2BP2 and SNRPD1 in the progression of TNBC remain unclear.Objective: This study aimed to investigate the interaction between IGF2BP2 and SNRPD1 in TNBC and elucidate the underlying mechanisms.Methods: Quantitative real-time polymerase chain reaction (qRT-PCR) and Western blot were used to detect the expression levels of SNRPD1 and IGF2BP2 in human normal breast cells (MCF10A) and TNBC cells (MDA-MB-231). MDA-MB-231 cells were transfected with SNRPD1 interference or overexpression vectors, or co-transfected with SNRPD1 interference and IGF2BP2 overexpression vectors simultaneously. Cell viability, apoptosis, and invasion were assessed using MTT, flow cytometry, and Transwell assays. RNA stability, m6A levels, and the interaction between SNRPD1 and IGF2BP2 were evaluated using qRT-PCR, methylated RNA immunoprecipitation, and RIP assays.Results: SNRPD1 was significantly up-regulated in TNBC cells, promoting cell viability and invasion while inhibiting apoptosis. IGF2BP2 was also up-regulated in TNBC cells and enhanced SNRPD1 mRNA stability via m6A modification. Furthermore, IGF2BP2 overexpression reversed the anti-tumor effect of SNRPD1 knockdown.Conclusion: IGF2BP2 and SNRPD1 were significantly highly expressed in TNBC cells. IGF2BP2 might enhance the stability and protein expression of SNRPD1 through m6A-dependent mechanisms, potentially contributing to the progression of TNBC.Keywords: triple-negative breast cancer, IGF2BP2, SNRPD1, m6A-dependent
Published: 2024

37. Consensus Clustering Analysis Identifies Ferroptosis-Related Patient Clusters and Predictive Signature Construction Based on Ferroptosis-Related Genes in Ischemic Cardiomyopathy

Author: Guo S, Gong Z, Sun X, Gao F, Li X, Zu X, Qu C, Zhang H, and Gao H
Subjects: ischemic cardiomyopathy, ferroptosis, bioinformatics analysis, predictive signature, Pathology, RB1-214, Therapeutics. Pharmacology, RM1-950
Abstract: Shuai Guo,1,&ast; Zhaoting Gong,1,&ast; Xiaona Sun,2 Fei Gao,1 Xiang Li,1 Xiaolin Zu,1 Chao Qu,1 Hongliang Zhang,3 Hai Gao1 1Center for Coronary Artery Disease, Division of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, People’s Republic of China; 2Department of Cardiology, Laizhou City People’s Hospital, Laizhou, People’s Republic of China; 3Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Hai Gao, Center for Coronary Artery Disease, Division of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, People’s Republic of China, Email gaohai1221@mail.ccmu.edu.cn Hongliang Zhang, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100037, People’s Republic of China, Email 13810694497@163.comBackground: Ischemic cardiomyopathy (ICM) significantly contributes to global disease burden, while the role of ferroptosis in ICM remains underexplored.Methods: We identified differentially expressed ferroptosis-related genes (DEFRGs) by analyzing the GSE57338 dataset and cross-referencing with FerrDb. Consensus clustering was then used to identify ferroptosis-associated clusters within the ICM samples. A ferroptosis-specific predictive signature was developed using the least absolute shrinkage and selection operator (LASSO) method and validated with the GSE5406 dataset. Additionally, quantitative real-time PCR (qRT-PCR) experiments were performed to validate the 11 feature genes in a rat ICM model.Results: We identified 15 DEFRGs in GSE57338, which distinguished two patient clusters with distinct ferroptosis gene expression, pathway enrichment profiles, and metabolic characteristics. All DEFRGs were upregulated in cluster 2. Potential therapeutic targets were also identified for different ICM patient clusters. The 11-gene predictive signature (TXNRD1, STEAP3, STAT3, SCL2A1, PLIN2, NQO1, NNMT, IL33, ENPP2, ARRDC3, ALOX5) showed robust predictive power in both training and validation sets. High-risk patients exhibited increased infiltration of CD8+ T cells, CD4+ naïve T cells, M0/M1 macrophages, and resting mast cells, along with significant enrichment in epithelial mesenchymal transition and interferon responses. Low-risk patients had higher infiltration of regulatory T cells and monocytes. Results of qPCR analysis confirmed the bioinformatic analysis, validating the expression of the 11 feature genes in the rat ICM model.Conclusion: We identified two ferroptosis-related clusters in ICM patients and developed a predictive signature based on ferroptosis-related genes. Our findings highlight the importance of ferroptosis in ICM and offer new insights for its diagnosis and treatment.Keywords: ischemic cardiomyopathy, ferroptosis, bioinformatics analysis, predictive signature
Published: 2024

38. The Role of Lactate Dehydrogenase in Exploring the Immune Evasion in HCC Patients Who Underwent TACE: Implications for Clinical Application

Author: Xie Y, Sun X, Xie F, Jian W, Wang Q, Ma X, Li C, and Zhang K
Subjects: hepatocellular carcinoma, immunotherapy, lactate dehydrogenase, soluble programmed cell death ligand-1, transarterial chemoembolization, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Yang Xie, Xiangyang Sun, Fubo Xie, Wencheng Jian, Qingliang Wang, Xiaochen Ma, Caixia Li, Kai Zhang Department of Radiology, Qilu Hospital of Shandong University, Shandong, People’s Republic of ChinaCorrespondence: Kai Zhang, Department of Radiology, Qilu Hospital of Shandong University, Shandong, People’s Republic of China, Tel +8618560081593, Email fifa6107@126.comPurpose: To examine the relationship between lactate dehydrogenase (LDH) levels and soluble programmed cell death-ligand 1 (sPD-L1) levels in hepatocellular carcinoma (HCC) patients undergoing transarterial chemoembolization (TACE).Methods: A total of 83 hCC patients participated in this study. Patients were categorized into subgroups based on their alpha-fetoprotein (AFP) levels, presence or absence of extrahepatic metastasis, vascular invasion, Barcelona Clinic Liver Cancer (BCLC) stage, tumor response, tumor size, and number LDH and sPD-L1 levels were compared before and after TACE (3, 7, and 30 days post-TACE).Results: LDH and sPD-L1 levels were significantly higher at 3 and 7 days post-TACE than at baseline. Positive correlations were observed between changes in LDH levels and sPD-L1 levels at 3 and 7 days post-TACE. LDH levels were higher in patients with elevated AFP compared to those in the normal AFP group at 3 and 7 days post-TACE, in the stable disease (SD) group compared to complete response (CR) and partial response (PR) groups at 7 days post-TACE, and in those with tumor > 5 cm compared with those with tumor ≤ 5 cm at 3 and 7 days after TACE (all P < 0.05). sPD-L1 levels were higher in patients with vascular invasion than those without vascular invasion at 3 and 7 days post-TACE, in the SD group compared to CR and PR groups at 3 and 7 days post-TACE, and in those with tumor > 5 cm compared to those with tumor < 5 cm at 3 and 7 days after TACE (all P < 0.05).Conclusion: A positive correlation was found between LDH expression and sPD-L1 levels, suggesting LDH as a potential biomarker for assessing immune status in HCC patients following TACE.Keywords: hepatocellular carcinoma, immunotherapy, lactate dehydrogenase, soluble programmed cell death ligand-1, transarterial chemoembolization
Published: 2024

39. The Diagnostic Value of Systemic Immune-Inflammatory Index (SII) and Lymphocyte–Albumin–Neutrophil Ratio (LANR) in Chronic Obstructive Pulmonary Disease with Lung Cancer

Author: Xu Y, Zhang L, Chen Z, Sun X, Zhao M, Wu Q, and Hao J
Subjects: lung cancer, inflammation, systemic immune-inflammation index, nomogram, lanr, chronic obstructive pulmonary disease, Pathology, RB1-214, Therapeutics. Pharmacology, RM1-950
Abstract: Yidan Xu,1,&ast; Lu Zhang,1,&ast; Zhiyang Chen,1 Xiaonan Sun,1 Mengdan Zhao,1 Qirui Wu,2 Jiqing Hao1 1Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People’s Republic of China; 2Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jiqing Hao, Department of Oncology, The First Affiliated Hospital of Anhui Medical University, 81 Meishan Road, Hefei, Anhui, People’s Republic of China, Tel +86-13965029739, Email haojiqing@ahmu.edu.cnPurpose: This study aims to explore the association of inflammatory markers such as the Systemic Immune-Inflammatory Index (SII) and LANR with the comorbidity of Chronic Obstructive Pulmonary Disease (COPD) and lung cancer.Patients and Methods: A cross-sectional analysis was conducted on the clinical data of 309 patients with COPD only and 193 patients with COPD and lung cancer who attended the First Affiliated Hospital of Anhui Medical University. Additionally, we examined autonomous risk factors that contribute to the simultaneous development of COPD and lung cancer through univariate and multivariate logistic regression analyses. This analysis resulted in the development of a nomogram model for visual representation. The effectiveness of the model was assessed using a receiver operating characteristic (ROC) curve, calibration curve, and clinical decision analysis (DCA) curve, with internal validation conducted via repeated sampling methods.Results: Multivariate analysis of clinical characteristics and inflammatory markers showed that smoking history of > 60 pack-years, hemoptysis, emphysema, WBC count > 5.53 (× 10^9/L), SII > 629.285, and LANR < 11.39 were significantly associated with the comorbidity of COPD and lung cancer. These factors were subsequently integrated into the nomogram model. The AUC of the model stood at 0.849 (95% CI: 0.815– 0.882), demonstrating a notable improvement over the COPD-LUCSS scoring system (AUC: 0.716, 95% CI: 0.671– 0.761). The DCA curve indicated a notable clinical advantage provided by the model. Additionally, patients with stage IV tumors exhibited elevated SII levels and reduced LANR levels compared to earlier stages, indicating potential prognostic significance for both markers.Conclusion: Increased levels of the inflammatory markers SII and LANR are associated with the risk of comorbidity of COPD and lung cancer.Keywords: lung cancer, inflammation, systemic immune-inflammation index, nomogram, LANR, chronic obstructive pulmonary disease
Published: 2024

40. Current Scenario of Pyridine/Quinoline-Sulfonamide Hybrids with Anticancer Potential (A Review)

Author: Dong, G.-L., Feng, Y.-P., Wang, J.-J., and Sun, X.
Published: 2024
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41. A Label-Free Measurement Method for Plane Stress States in Optical Isotropic Films with Spectroscopic Ellipsometry

Author: Sun, X., Wang, S., Xing, W., Cheng, X., Li, L., Li, C., and Wang, Z.
Published: 2024
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42. Survival Analysis of Antiretroviral Treatment for PLWH in Sichuan Province, China, 2003-2022: A Large Retrospective Cohort Study

Author: Ye L, Sun X, Li Y, Zeng Y, Zhuoma L, Zhou D, He Q, Wang J, Yang W, Yu H, Yang Y, Liang S, and Yuan D
Subjects: plwh, antiretroviral therapy, survival analysis, Infectious and parasitic diseases, RC109-216
Abstract: Li Ye,1 Xiwei Sun,2 Yiping Li,1 Yali Zeng,1 Lacuo Zhuoma,1 Dinglun Zhou,2 Qinying He,3 Ju Wang,4 Wei Yang,1 Hang Yu,1 Yihui Yang,1 Shu Liang,1 Dan Yuan1 1Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, People’s Republic of China; 2West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 3Center for AIDS/STD Control and Prevention, Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, People’s Republic of China; 4Center for AIDS/STD Control and Prevention, Liangshan Center for Disease Control and Prevention, Xichang, Sichuan, People’s Republic of ChinaCorrespondence: Dan Yuan; Shu Liang, Email ydtv1130@163.com; liangshu523@163.comBackground: Sichuan Province was severely affected by the HIV, and there was a scarcity of data regarding the survival time and influencing factors for People Living with HIV/AIDS (PLWH) in Sichuan Province who have received Antiretroviral Therapy (ART). Therefore, it is necessary to conduct a survival analysis for PLWH receiving ART.Methods: A retrospective cohort study was conducted on PLWH who had received ART≥ 6 months in Sichuan Province from January 1, 2003, to December 31, 2022. The Kaplan-Meier method was used to calculate median survival time and plot survival curves, while a Cox proportional hazards regression model was applied to analyze factors affecting survival time. Bilateral tests were performed, with P≤ 0.05 considered statistically significant.Results: The cumulative survival rates at 1, 3, 5, and 10 years for the 223,386 subjects were 94.54%, 89.07%, 84.82%, and 76.44%, respectively. Multivariate analysis using the Cox regression model indicated lower mortality risks for females (HR=0.59, 95% CI: 0.54– 0.65), homosexual transmission (HR=0.43, 95% CI: 0.33– 0.55), and baseline BMI≥ 24 (HR=0.81, 95% CI: 0.72– 0.90). Higher mortality risks were associated with age≥ 50 years at diagnosis (HR=3.21, 95% CI: 2.94– 3.50), being unmarried or divorced (HR=1.23, 95% CI: 1.11– 1.37), living separately (HR=1.32, 95% CI: 1.22– 1.43), baseline BMI < 18.5 (HR=1.27, 95% CI: 1.13– 1.41), presence of single-drug resistance (HR=1.25, 95% CI: 1.15– 1.36), baseline WHO stage IV (HR=1.27, 95% CI: 1.09– 1.47), and a diagnosis-to-treatment interval > 12 months (HR=1.27, 95% CI: 1.15– 1.41). Compared to those with CD4(+) T cell count of 200– 350cells/μL, 350– 500cells/μL, and > 500cells/μL at baseline, individuals with < 200cells/μL had higher mortality risks (HR=0.73, 95% CI: 0.67– 0.79; HR=0.57, 95% CI: 0.51– 0.64; and HR=0.58, 95% CI: 0.51– 0.66, respectively).Conclusion: The survival rate for PLWH receiving ART in Sichuan Province was relatively high. Male gender, age over 50 at diagnosis, being unmarried, divorced, or living separately, presence of single-drug resistance, low baseline BMI, baseline CD4+ T cell < 200cells/μL, baseline WHO stage IV, and a diagnosis-to-treatment interval > 12 months were risk factors for the survival of PLWH.Keywords: PLWH, antiretroviral therapy, survival analysis
Published: 2024

43. Near Infrared-Activatable Biomimetic Nanoplatform for Tumor-Specific Drug Release, Penetration and Chemo-Photothermal Synergistic Therapy of Orthotopic Glioblastoma

Author: Li M, Zhang X, Zhou Y, Chu Y, Shen J, Cai Y, and Sun X
Subjects: biomimetic macrophage membrane, drug delivery, synergistic treatment, glioma inhibition, near infrared-activatable, Medicine (General), R5-920
Abstract: Ming Li,&ast; Xinrui Zhang,&ast; Yujie Zhou, Yuteng Chu, Jie Shen, Yue Cai, Xuanrong Sun Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, 310014, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xuanrong Sun, Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, 310014, People’s Republic of China, Email sunxr@zjut.edu.cnIntroduction: Glioblastoma multiforme (GBM), a highly invasive and prognostically challenging brain cancer, poses a significant hurdle for current treatments due to the existence of the blood-brain barrier (BBB) and the difficulty to maintain an effective drug accumulation in deep GBM lesions.Methods: We present a biomimetic nanoplatform with angiopep-2-modified macrophage membrane, loaded with indocyanine green (ICG) templated self-assembly of SN38 (AM-NP), facilitating active tumor targeting and effective blood-brain barrier penetration through specific ligand-receptor interaction.Results: Upon accumulation at tumor sites, these nanoparticles achieved high drug concentrations. Subsequent combination of laser irradiation and release of chemotherapy agent SN38 induced a synergistic chemo-photothermal therapy. Compared to bare nanoparticles (NPs) lacking cell membrane encapsulation, AM-NPs significantly suppressed tumor growth, markedly enhanced survival rates, and exhibited excellent biocompatibility with minimal side effects.Conclusion: This NIR-activatable biomimetic camouflaging macrophage membrane-based nanoparticles enhanced drug delivery targeting ability through modifications of macrophage membranes and specific ligands. It simultaneously achieved synergistic chemo-photothermal therapy, enhancing treatment effectiveness. Compared to traditional treatment modalities, it provided a precise, efficient, and synergistic method that might have contributed to advancements in glioblastoma therapy.Keywords: biomimetic macrophage membrane, drug delivery, synergistic treatment, glioma inhibition, near infrared-activatable
Published: 2024

44. Determination of ED90s of Phenylephrine and Norepinephrine Infusion for Prevention of Spinal Anesthesia-Induced Hypotension in Patients with Preeclampsia During Cesarean Delivery

Author: Tan H, Chen Y, Jiang Y, Sun X, Ye W, Zhu X, and Xiong X
Subjects: ed90, phenylephrine, norepinephrine, spinal anesthesia-induced hypotension, preeclampsia, cesarean delivery, Therapeutics. Pharmacology, RM1-950
Abstract: Haijie Tan,1,&ast; Yi Chen,2,&ast; Yan Jiang,1 Xiaojing Sun,1 Wei Ye,1 Xuefang Zhu,1 Xiangsheng Xiong1 1Department of Anesthesiology, The Fifth People’s Hospital of Huaian, Huaian, People’s Republic of China; 2Department of Anesthesiology and Perioperative Medicine, General Hospital of Ningxia Medical University, Yinchuan, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xiangsheng Xiong, Department of Anesthesiology, The Fifth People’s Hospital of Huaian, Huaian, People’s Republic of China, Email 158193942@qq.comBackground: Vasopressors remain an important strategy for managing spinal anesthesia-induced hypotension in women with preeclampsia. The aim of this study was to investigate the ED90s and efficacy ratio of phenylephrine and norepinephrine in managing spinal anesthesia-induced hypotension in women with preeclampsia during cesarean delivery.Methods: 60 women with preeclampsia, who underwent cesarean delivery, were randomly assigned to receive either a continuous intravenous infusion of phenylephrine or norepinephrine following spinal anesthesia. The initial dosage of phenylephrine or norepinephrine for the first women was 0.5 or 0.05 μg/kg/min, respectively, and subsequent infusion dosages were adjusted based on their efficacy in preventing spinal anesthesia-induced hypotension (defined as a systolic blood pressure less than 80% of the baseline level). The incremental or decremental doses of phenylephrine or norepinephrine were set at 0.1 or 0.01 μg/kg/min. The primary outcomes were the ED90s and efficacy ratio of phenylephrine and norepinephrine infusions for preventing spinal anesthesia-induced hypotension prior to delivery.Results: The results obtained from isotonic regression analysis revealed that the ED90 values of the phenylephrine and norepinephrine group for preventing spinal anesthesia-induced hypotension were 0.597 (95% CI: 0.582– 0.628) and 0.054 (95% CI: 0.053– 0.056) μg/kg/min, respectively, with an efficacy ratio of 11.1:1. The results of Probit regression analysis revealed that the ED90 values were determined to be 0.665 (95% CI: 0.576– 1.226) and 0.055 (95% CI: 0.047– 0.109) μg/kg/min, respectively, with an efficacy ratio of 12.1:1.Conclusion: The administration of 0.6 μg/kg/min phenylephrine and 0.05 μg/kg/min norepinephrine has been found to effectively manage a 90% incidence of spinal anesthesia-induced hypotension in women with preeclampsia.Keywords: ED90, phenylephrine, norepinephrine, spinal anesthesia-induced hypotension, preeclampsia, cesarean delivery
Published: 2024

45. Bone Morphogenetic Protein 7-Loaded Gelatin Methacrylate/Oxidized Sodium Alginate/Nano-Hydroxyapatite Composite Hydrogel for Bone Tissue Engineering

Author: Huang S, Wang Z, Sun X, and Li K
Subjects: composite hydrogel, nanohydroxyapatite, bmp7, bone regeneration, bte, Medicine (General), R5-920
Abstract: Shiyuan Huang, Zesen Wang, Xudong Sun, Kuanxin Li The First Affiliated Hospital of Bengbu Medical University, Bengbu Medical University, Bengbu, Anhui Province, 233044, People’s Republic of ChinaCorrespondence: Kuanxin Li, The First Affiliated Hospital of Bengbu Medical University, Bengbu Medical University, Bengbu, Anhui Province, 233044, People’s Republic of China, Email kuanxinli@126.comBackground: Bone tissue engineering (BTE) is a promising alternative to autologous bone grafting for the clinical treatment of bone defects, and inorganic/organic composite hydrogels as BTE scaffolds are a hot spot in current research. The construction of nano-hydroxyapatite/gelatin methacrylate/oxidized sodium alginate (nHAP/GelMA/OSA), abbreviated as HGO, composite hydrogels loaded with bone morphogenetic protein 7 (BMP7) will provide a suitable 3D microenvironment to promote cell aggregation, proliferation, and differentiation, thus facilitating bone repair and regeneration.Methods: Dually-crosslinked hydrogels were fabricated by combining GelMA and OSA, while HGO hydrogels were formulated by incorporating varying amounts of nHAP. The hydrogels were physically and chemically characterized followed by the assessment of their biocompatibility. BMP7-HGO (BHGO) hydrogels were fabricated by incorporating suitable concentrations of BMP7 into HGO hydrogels. The osteogenic potential of BHGO hydrogels was then validated through in vitro experiments and using rat femoral defect models.Results: The addition of nHAP significantly improved the physical properties of the hydrogel, and the composite hydrogel with 10% nHAP demonstrated the best overall performance among all groups. The selected concentration of HGO hydrogel served as a carrier for BMP7 loading and was evaluated for its osteogenic potential both in vivo and in vitro. The BHGO hydrogel demonstrated superior in vitro osteogenic induction and in vivo potential for repairing bone tissue compared to the outcomes observed in the blank control, BMP7, and HGO groups.Conclusion: Using hydrogel containing 10% HGO appears promising for bone tissue engineering scaffolds, especially when loaded with BMP7 to boost its osteogenic potential. However, further investigation is needed to optimize the GelMA, OSA, and nHAP ratios, along with the BMP7 concentration, to maximize the osteogenic potential.Keywords: composite hydrogel, nanohydroxyapatite, BMP7, bone regeneration, BTE
Published: 2024

46. Pharmacokinetics and Bioequivalence of Apremilast Tablets in Chinese Healthy Subjects Under Fasting and Postprandial States

Author: Bai W, Sun X, Qiu B, Guo C, Song H, Hu Y, Zhang X, Yin P, Wang X, and Dong Z
Subjects: apremilast, psoriasis, pharmacokinetics, bioequivalence, safety., Therapeutics. Pharmacology, RM1-950
Abstract: Wanjun Bai,1 Xue Sun,1 Bo Qiu,1 Caihui Guo,1 Haojing Song,1 Yiting Hu,1 Xueyuan Zhang,2 Peihua Yin,3 Xiaoru Wang,3 Zhanjun Dong1 1Department of Pharmacy, Hebei General Hospital, Hebei Key Laboratory of Clinical Pharmacy, Shijiazhuang, Hebei, People’s Republic of China; 2Center for Clinical Pharmacology, Shanghai Innovstone Therapeutics Limited, Shanghai, People’s Republic of China; 3Center for Clinical Pharmacology, CSPC Zhongqi Pharmaceutical Technology (Shijiazhuang) Co., Ltd, Shijiazhuang, People’s Republic of ChinaCorrespondence: Zhanjun Dong, Department of Pharmacy, Hebei General Hospital, Hebei Key Laboratory of Clinical Pharmacy, No. 348 Heping West Road, Xinhua District, Shijiazhuang City, Hebei Province, 050051, People’s Republic of China, Tel +86 311 85988604, Email 13313213656@126.comObjective: This study compared the pharmacokinetics, safety and bioequivalence (BE) of generic and original apremilast tablets in healthy Chinese subjects under fasting and postprandial conditions, providing sufficient evidence for abbreviated new drug application.Methods: A randomized, open-label, two-formulation, single-dose, two-period crossover pharmacokinetic study was performed. Thirty-two eligible healthy Chinese subjects were enrolled in fasting and postprandial studies, respectively. In each trial, subjects received a single 30-mg dose of the test or reference apremilast tablet, followed by a 7-day washout interval between periods. Serial blood samples were obtained for up to 48 h post-intake in each period, and the plasma concentrations of apremilast were determined by a validated method. The primary pharmacokinetic (PK) parameters, including the maximum plasma concentration (Cmax), the areas under the plasma concentration–time curve (AUC0-t, AUC0-∞), were calculated using the non-compartmental method. The geometric mean ratios of the two formulations and the corresponding 90% confidence intervals (CIs) were acquired for bioequivalence analysis. The safety of both formulations was also evaluated.Results: Under fasting and postprandial states, the PK parameters of the test drug were similar to those of the reference drug. The 90% CIs of the geometric mean ratios of the test to reference formulations were 94.09– 103.44% for Cmax, 94.05– 103.51% for AUC0-t, and 94.56– 103.86% for AUC0-∞ under fasting conditions, and 99.18– 112.48% for Cmax, 98.79– 106.02% for AUC0-t, and 98.95– 105.89% for AUC0-∞ under postprandial conditions, all of which were within the bioequivalence range of 80.00– 125.00%. Both formulations were well tolerated, and no serious adverse events occurred during the study.Conclusion: The trial confirmed that the PK parameters of the generic and original apremilast tablets were bioequivalent in healthy Chinese subjects under fasting and postprandial states, which met the predetermined regulatory standards. Both formulations were safe and well tolerated.Clinical Trial Registration: chinaDrugtrials.org.cn, identifier CTR20191056 (July 30, 2019); chictr.org.cn, identifier ChiCTR2300076806 (October 19, 2023).Keywords: apremilast, psoriasis, pharmacokinetics, bioequivalence, safety
Published: 2024

47. In vitro Antibacterial Effect Study of Plasma-Activated Saline on Mycobacterium Tuberculosis

Author: Zheng J, Dong Z, Jin X, Li J, Zou Y, Bai G, Wu Q, Xu S, Wang Z, Sun X, Liu D, and Guo L
Subjects: plasma-activated saline, mycobacterium tuberculosis, antibacterial effect, antibiotic sensitivity, Infectious and parasitic diseases, RC109-216
Abstract: Jianbao Zheng,1,2,&ast; Zepeng Dong,1,&ast; Xianzhen Jin,1 Jing Li,2 Yuanwu Zou,2 Guanghong Bai,2 Qianhong Wu,2 Shenghang Xu,3 Zifeng Wang,3 Xuejun Sun,1 Dingxin Liu,3 Li Guo3 1Department of General Surgery, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710061, People’s Republic of China; 2Tuberculosis Prevention and Treatment Hospital in Shaanxi Province, Xi’an, 710100, People’s Republic of China; 3Center for Plasma Biomedicine, State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, 710049, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Qianhong Wu; Li Guo, Email 15902969531@126.com; guoli35@mail.xjtu.edu.cnPurpose: This study aimed to investigate the antibacterial effects of plasma-activated saline (PAS) on My-cobacterium tuberculosis (Mtb).Methods: We conducted a growth assay on 3 strains of Mtb and an antibiotic sensitivity test on 4 strains of Mtb. Both tests included groups treated with normal saline (NS), PAS, and hydrochloric acid (HCl). The test of antibiotic sensitivity consisted of parallel tests with two concentrations of bacteria suspension: 10− 2 and 10− 4. The selected antibiotics were rifampicin (RIF), isoniazid (INH), ethambutol (EMB), and streptomycin (SM). The number of bacteria was determined after one month of culture under different conditions. The Kruskal–Wallis test was used to analyze the differences in grouping factors at representative time points.Results: The growth assay indicated that PAS significantly inhibited the growth of 3 strains of Mtb compared with NS and HCl treatment groups. Furthermore, except for the initial observation time point, the remaining three observation time points consistently demonstrate no significant differences between the NS group and the HCl group. The antibiotic sensitivity test of INH, SM, and RIF indicated that PAS could inhibit the growth of antibiotic-resistant Mtb, and the antibiotic sensitivity test of INH and SM with bacterial suspension concentration of 10− 2 and SM with bacterial suspension concentration of 10− 4 showed statistically different results. The antibiotic sensitivity test of EMB indicated that the growth of Mtb in PAS was slower than that in NS and HCl in both antibiotic-resistant and sensitive Mtb, but there was no statistical difference.Conclusion: The study indicates that PAS contains a significant amount of active substances and exhibits high oxidizability and an acidic pH state. The unique physicochemical properties of PAS significantly delayed the growth of Mtb, compared to the NS and the HCl. PAS not only inhibited the growth of drug-sensitive strains but also significantly enhanced the sensitivity of drug-resistant strains to anti-tuberculosis drugs, which may provide a new therapeutic strategy for the treatment of tuberculosis.Keywords: plasma-activated saline, mycobacterium tuberculosis, antibacterial effect, antibiotic sensitivity
Published: 2024

48. Association of CHAT Gene Polymorphism rs3793790 and rs2177370 with Donepezil Response and the Risk of Alzheimer’s Disease Continuum

Author: Sun H, Lv C, Zhang X, Sun X, Chen S, Li K, Hu Y, Feng Y, Yin T, and Jia J
Subjects: alzheimer’s disease, pharmacogenomics, variant, gene, donepezil, Geriatrics, RC952-954.6
Abstract: Hongmei Sun,1,2 Chao Lv,2,3 Xiaoxue Zhang,1,2 Xuan Sun,1,3,4 Siyu Chen,1,3,4 Ke Li,3,4 Yazhuo Hu,2,3 Yuxin Feng,1,2 Tong Yin,2,3 Jianjun Jia2,3 1Medical School, Chinese PLA General Hospital, Beijing, People’s Republic of China; 2Institute of Geriatrics, Chinese PLA General Hospital, Beijing, People’s Republic of China; 3National Clinical Research Center of Geriatric Diseases, Chinese PLA General Hospital, Beijing, People’s Republic of China; 4Department of Geriatric Neurology, the Second Medical Centre, Chinese PLA General Hospital, Beijing, People’s Republic of ChinaCorrespondence: Jianjun Jia; Tong Yin, Institute of Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, Haidian District, 100853, People’s Republic of China, Email jiajianjun301@126.com; yintong301@163.comBackground: Genetic variation plays an important role in drug response, there are few relevant studies on patients with Alzheimer’s disease continuum (ADC).Objective: This study focused on the associations between two single nucleotide polymorphisms (SNPs) (rs3793790 and rs2177370) located in the CHAT gene and donepezil response in ADC patients, and further evaluated the associations between the two SNPs and ADC.Material and Methods: According to 2018 National Institute on Aging and Alzheimer’s Association (NIA-AA) standard, amyloid β-protein positive (Aβ+) and negative (Aβ-) patients were recruited according to the Aβ-PET/CT standard. rs3793790 and rs2177370 were genotyped in buccal swab samples by using the MassARRAY system. We used the Mini Mental State Examination (MMSE) in Chinese version, caregiver evaluation, and prescribing behavior to assess therapeutic response during the 9-month period. Using logistic regression models, we analyzed the relationship between the two SNPs and donepezil response in 58 Aβ+ patients treated with donepezil alone at the initial diagnosis of ADC. We also explored a probable link between the two SNPs and ADC in 147 Aβ+ and 73 Aβ– patients using a logistic regression analysis.Results: The chance of donepezil response was higher in patients with the G allele of rs3793790 and/or the A allele of rs2177370 than in those without (odds ratio (OR) 6.83, 95% confidence interval (CI): 1.64– 28.49). Additionally, the rs3793790 variant was not associated with ADC, whereas the A allele in rs2177370 increased 1.51-fold the ADC risk (OR 2.51, 95% CI: 1.28– 4.95).Conclusion: The genetic variants of rs3793790 and rs2177370 were associated with the donepezil response, and rs2177370 may have a moderate relationship with the risk of ADC.Keywords: Alzheimer’s disease, pharmacogenomics, variant, gene, donepezil
Published: 2024

49. Machine Learning Tools to Assist the Synthesis of Antibacterial Carbon Dots

Author: Bian Z, Bao T, Sun X, Wang N, Mu Q, Jiang T, Yu Z, Ding J, Wang T, and Zhou Q
Subjects: carbon dots, machine learning, antibacterial, minimum inhibitory concentration, classification algorithms, Medicine (General), R5-920
Abstract: Zirui Bian,1,&ast; Tianzhe Bao,2,&ast; Xuequan Sun,3,4 Ning Wang,1 Qian Mu,5 Ting Jiang,6 Zhongxiang Yu,6 Junhang Ding,2 Ting Wang,7 Qihui Zhou2 1Department of Bone, Huangdao District Central Hospital, Qingdao, People’s Republic of China; 2Qingdao Key Laboratory of Materials for Tissue Repair and Rehabilitation, School of Rehabilitation Sciences and Engineering, University of Health and Rehabilitation Sciences, Qingdao, People’s Republic of China; 3Weifang Eye Institute, Weifang Eye Hospital, Zhengda Guangming Eye Group, Weifang, People’s Republic of China; 4Zhengda Guangming International Eye Research Center, Qingdao Zhengda Guangming Eye Hospital, Qingdao University, Qingdao, People’s Republic of China; 5Department of Biomaterials, LongScience Biological (Qingdao) Co, LTD, Qingdao, People’s Republic of China; 6Heart Center, Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao University, Qingdao, People’s Republic of China; 7Department of Orthopaedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Qihui Zhou; Junhang Ding, Tel +86-17660670299, Email qihuizhou@uor.edu.cn; dingjunhang@uor.edu.cnIntroduction: The emergence and rapid spread of multidrug-resistant bacteria (MRB) caused by the excessive use of antibiotics and the development of biofilms have been a growing threat to global public health. Nanoparticles as substitutes for antibiotics were proven to possess substantial abilities for tackling MRB infections via new antimicrobial mechanisms. Particularly, carbon dots (CDs) with unique (bio)physicochemical characteristics have been receiving considerable attention in combating MRB by damaging the bacterial wall, binding to DNA or enzymes, inducing hyperthermia locally, or forming reactive oxygen species.Methods: Herein, how the physicochemical features of various CDs affect their antimicrobial capacity is investigated with the assistance of machine learning (ML) tools.Results: The synthetic conditions and intrinsic properties of CDs from 121 samples are initially gathered to form the raw dataset, with Minimum inhibitory concentration (MIC) being the output. Four classification algorithms (KNN, SVM, RF, and XGBoost) are trained and validated with the input data. It is found that the ensemble learning methods turn out to be the best on our data. Also, ϵ-poly(L-lysine) CDs (PL-CDs) were developed to validate the practical application ability of the well-trained ML models in a laboratory with two ensemble models managing the prediction.Discussion: Thus, our results demonstrate that ML-based high-throughput theoretical calculation could be used to predict and decode the relationship between CD properties and the anti-bacterial effect, accelerating the development of high-performance nanoparticles and potential clinical translation. Keywords: carbon dots, machine learning, antibacterial, minimum inhibitory concentration, classification algorithms
Published: 2024

50. Blood Urine Nitrogen Trajectories of Acute Pancreatitis Patients in Intensive Care Units

Author: Wang Z, Wang W, Wang M, He Q, Xu J, Zou K, Kang Y, and Sun X
Subjects: acute pancreatitis, bun, trajectories analysis, icu, Pathology, RB1-214, Therapeutics. Pharmacology, RM1-950
Abstract: Zichen Wang,1– 3,&ast; Wen Wang,1– 3,&ast; Mingqi Wang,1– 3 Qiao He,1– 3 Jiayue Xu,1– 3 Kang Zou,1– 3 Yan Kang,4 Xin Sun1– 3 1Institute of Integrated Traditional Chinese and Western Medicine, Chinese Evidence-Based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 2NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, People’s Republic of China; 3Sichuan Center of Technology Innovation for Real World Data, Chengdu, People’s Republic of China; 4Intensive Care Unit, West China Hospital of Sichuan University, Chengdu, 610041, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yan Kang; Xin Sun, Email kangyan@scu.edu.cn; sunxin@wchscu.cnObjective: To identify subclasses of acute pancreatitis (AP) patients in the intensive care unit (ICU) by analyzing blood urea nitrogen (BUN) trajectories.Methods: AP patients in West China Hospital System (development cohort) and three public databases in the United States (validation cohort) were included. Latent class trajectory modelling was used to identify subclasses based on BUN trajectories within the first 21 days after ICU admission. Clinical characteristics and outcomes were compared, and results were externally validated.Results: The study comprised 2971 and 930 patients in the development and validation cohorts, respectively, with five subclasses: Class 1 (“Moderate-azotemia, slow decreasing”), Class 2 (“Non-azotemia”), Class 3 (“Severe-azotemia, slow decreasing”), Class 4 (“Moderate-azotemia, rapid increasing”), and Class 5 (‘Moderate-azotemia, slow increasing) identified. Azotemia patients showed significantly higher 30-day mortality risk in development and validation cohorts. Specifically, Class 4 patients exhibited notably highest mortality risk in both the development cohort (HR 5.32, 95% CI 2.62– 10.82) and validation cohort (HR 6.23, 95% CI 2.93– 13.22). Regarding clinical characteristics, AP patients in Class 4 showed lower mean arterial pressure and a higher proportion of renal disease. We also created an online early classification model to further identify Class 4 patients among all patients with moderate azotemia at baseline.Conclusion: This multinational study uncovers heterogeneity in BUN trajectories among AP patients. Patients with “Moderate-azotemia, rapid increasing” trajectory, had a higher mortality risk than patients with severe azotemia at baseline. This finding complements studies that solely rely on baseline BUN for risk stratification and enhanced our understanding of longitudinal progression of AP.Keywords: acute pancreatitis, BUN, trajectories analysis, ICU
Published: 2024

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