2675 DPyC SMF false [["0", "Event Poster"], ["minutes", "Minutes"], ["notes", "Notes"], ["paper", "Paper"], ["poster", "Poster"], ["slides", "Slides"], ["summary", "Summary"]] Cinvestav ea481e58ca9c64e14d7982cb66bcd604 3312 <p style="text-align:justify">The <strong>XXI Mexican School on Particles and Fields</strong> takes place from <strong>October 19th to 23rd, 2026</strong>, in the city of Puebla, Puebla, M&eacute;xico. The format of the school is&nbsp;such that the morning sessions are devoted to theoretical and experimental reviews, whereas parallel thematic sessions shall be held in the afternoons. All the reviews and seminars are delivered by experts of international prestige on subjects which are of current interest to the global scientific community and are also actively pursued within M&eacute;xico. ​</p> <p style="text-align:justify">In order to equip graduate students and attending postdocs with the necessary tools to perform fully in the school, courses of interest are taught, with English being the language of instruction. An informal and friendly atmosphere is encouraged during the courses so that the students can overcome their inhibitions and actively participate in the discussions. ​</p> <p style="text-align:justify"><em><u><strong>Organizing Committee</strong></u></em></p> <p style="text-align:justify">Dr. Isabel Pedraza Morales (President DPyC-SMF) [BUAP]<br /> Dr. Humberto G. Maury Cuna (Vice-President DPyC-SMF)&nbsp;[UGTO]</p> <p style="text-align:justify"><em><u><strong>Local Organizing Committee</strong></u></em></p> <p style="text-align:justify">Dr. Haydee Hern&aacute;ndez [BUAP]<br /> Dr. Arturo Fern&aacute;ndez [BUAP]<br /> Dr. Humberto Salazar [BUAP]<br /> Dr. Olga F&eacute;lix Beltr&aacute;n [BUAP]</p> False Puebla

1. Edificio Carolino, Calle 4 Sur 104, Centro, Puebla, Puebla. 2. Ciudad Universitaria 2, Calle Heberto Rodríguez N°119, Colonia San Antonio Toluquilla, C.P. 72960, San Pedro Zacachimalpa, Puebla

2026-10-19T07:30:00 2026-10-23T19:30:00 2026-07-01T10:52:23 2026-10-30T16:10:28 Mexico/General Benemérita Universidad Autónoma de Puebla 65efd11437264d48aa1f7486255a57bc Universidad de Guanajuato 0bba80e6b6d806cda49089f089616ab2 BUAP 5848375cb8b0db28e94350f19dcb744f Benemerita Universidad Autonoma de Puebla 398909c50ebb53abfbd6c5540e4e5066 28 false [["0", "Event Poster"], ["minutes", "Minutes"], ["notes", "Notes"], ["paper", "Paper"], ["poster", "Poster"], ["slides", "Slides"], ["summary", "Summary"]] 1 Short Talk IF UNAM e0bd83263b7c376e5de121d747bf123d IF UNAM e0bd83263b7c376e5de121d747bf123d Instituto de Física, UNAM c47f5353fd8dfa39122c55f41edc0ad5 Puebla

1. Edificio Carolino, Calle 4 Sur 104, Centro, Puebla, Puebla. 2. Ciudad Universitaria 2, Calle Heberto Rodríguez N°119, Colonia San Antonio Toluquilla, C.P. 72960, San Pedro Zacachimalpa, Puebla

2026-10-20T18:00:00 2026-10-20T18:10:00 00:10 In a previous study, simulations were performed to evaluate the feasibility of antineutron ($\bar{n}$) identification and kinematic reconstruction via hadronic charge-exchange (CEX) interactions: $\bar{n}+n\rightarrow\bar{p}+p$ and $\bar{n}+n\rightarrow\bar{p}+p+\pi^0$. The target neutrons are those in the silicon nuclei of the inner tracking detectors used in LHC experiments such as ALICE, ATLAS, and CMS. GEANT4 simulations using the ALICE Inner Tracking System (ITS) as a working example were employed to develop a dedicated protocol for $\bar{n}$ identification and kinematic reconstruction. The method focuses on identifying the proton partner from the CEX interaction, a challenging task due to the presence of fragmentation protons from silicon nuclei. Momentum correlations between the $\bar{n}$ and all possible $\bar{p}p$ pairs showed that successful partner identification and $\bar{n}$ reconstruction are associated with events with minimal momentum loss. Based solely on $\bar{p}p$ observables, an efficiency of 0.006% was estimated for PYTHIA-generated $pp$ collisions at $\sqrt{s_{pp}}=13$ TeV. In this work, the proposed protocol is applied to Monte Carlo $pp$ collision samples from ALICE Run 3 to evaluate its performance under more realistic detector conditions. A preliminary CEX identification efficiency lower than that obtained in the feasibility study is obtained after incorporating the full ALICE detector geometry and background-suppression criteria. These simulations also enable a detailed characterization of background processes that mimic the CEX signal. To improve signal-background discrimination, classical one-dimensional selections are compared with a multivariable approach based on machine learning. The machine-learning selection provides significantly better signal-background separation, yielding a final CEX candidate sample with a purity of approximately 70%. slides doc http://indico.nucleares.unam.mx/images/word.png word file ppt http://indico.nucleares.unam.mx/images/powerpoint.png powerpoint file pdf http://indico.nucleares.unam.mx/images/pdf_small.png pdf file odt http://indico.nucleares.unam.mx/images/writer.png writer file odp http://indico.nucleares.unam.mx/images/impress.png presentation file ods http://indico.nucleares.unam.mx/images/calc.png spreadsheet file other http://indico.nucleares.unam.mx/images/file_small.png unknown type file link http://indico.nucleares.unam.mx/images/link.png link 0 doc http://indico.nucleares.unam.mx/images/word.png word file ppt http://indico.nucleares.unam.mx/images/powerpoint.png powerpoint file pdf http://indico.nucleares.unam.mx/images/pdf_small.png pdf file odt http://indico.nucleares.unam.mx/images/writer.png writer file odp http://indico.nucleares.unam.mx/images/impress.png presentation file ods http://indico.nucleares.unam.mx/images/calc.png spreadsheet file other http://indico.nucleares.unam.mx/images/file_small.png unknown type file link http://indico.nucleares.unam.mx/images/link.png link