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<event>
<ID>2561</ID>
<category>DPyC SMF</category>
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<materialList>[["minutes", "Minutes"], ["notes", "Notes"], ["paper", "Paper"], ["poster", "Poster"], ["slides", "Slides"], ["summary", "Summary"]]</materialList>
<announcer>
 <user>
  <title>Dr.</title>
  <name first="Pablo" middle="" last="Roig"></name>
  <organization>Cinvestav</organization>
  <emailHash>ea481e58ca9c64e14d7982cb66bcd604</emailHash>
  <userid>3312</userid>
 </user>
</announcer>
<title>RADPyC2026</title>
<description>The Division of Particles and Fields of the Mexican Physical Society (DPyC-SMF) organizes every year the Annual Meeting (RADPyC). This space is dedicated mainly for the exposure of results of graduate students and young researchers working in high energy physics and includes some review talks on the hot topics of the field. This year the meeting will be held in Auditorio José Ádem, Cinvestav, Mexico City, México. The scientific programme will consist of invited and contributed talks, and a poster session. It will begin in the morning of Wednesday 17 June and end before lunch on Friday 19 June.

We will have the following invited talks:
 
- Ana Colmenero, HAWC (UMSNH)

- Jens Erler, The EW SM and constraints on NP (Mainz, PRISMA)

- Iván Martínez Soler, Neutrino physics (Durham Univ.)

- Cristina Oropeza, CMS (Ibero)

- Antonio Ortiz, ALICE (ICN-UNAM)

- Gabriel Palacios, Accelerator physics (UNAM)

- Antonio Pich, Flavor physics (IFIC)

- Pedro Podesta, Belle-II (UAS)

- Selomit Ramírez, QCD, Loop Tree Duality, Quantum Computing (UAS)

- Saúl Ramos, Flavor physics from a top-down perspective (IF-UNAM)

- Alfredo Raya, NICA (UMSNH)

- Eric Vázquez, DM-neutrinos (exp.) (IF-UNAM)


The whole event can be followed by Zoom:

https://us02web.zoom.us/j/85815121456?pwd=t1JWdqhgarEQRyewmXIEzNlkIcqU8a.1

(858 1512 1456 &amp; 044752).

Due to recent internet security problems at Cinvestav it will NOT be broadcasted via the DPyC facebook account (facebook is currently blocked on our premises).</description>
<participants></participants>
<closed>False</closed>
<startDate>2026-06-17T09:00:00</startDate>
<endDate>2026-06-19T14:30:00</endDate>
<creationDate>2026-03-23T09:50:55</creationDate>
<modificationDate>2026-06-19T17:51:55</modificationDate>
<timezone>Mexico/General</timezone>
<chair>
 <user>
  <title>Dr.</title>
  <name first="Gabriel" middle="" last="Lopez Castro"></name>
  <organization>cinvestav</organization>
  <emailHash>f09241183e84638d226a8885656239cd</emailHash>
 </user>
 <user>
  <title>Dr.</title>
  <name first="Omar" middle="" last="Miranda"></name>
  <organization>Cinvestav</organization>
  <emailHash>6be00aeecce15d4b2547496f45352003</emailHash>
 </user>
 <user>
  <title>Prof.</title>
  <name first="Eduard" middle="" last="De La Cruz Burelo"></name>
  <organization>CINVESTAV-IPN Mexico</organization>
  <emailHash>207484e6583dd9c0c1af2f52ce04fdd8</emailHash>
 </user>
 <user>
  <title>Dr.</title>
  <name first="Pablo" middle="" last="Roig"></name>
  <organization>Cinvestav</organization>
  <emailHash>ea481e58ca9c64e14d7982cb66bcd604</emailHash>
 </user>
 <user>
  <title>Dr.</title>
  <name first="Pablo" middle="" last="Roig"></name>
  <organization>Cinvestav</organization>
  <emailHash>3cd3ab69a079e614c15e4c750e7d3d60</emailHash>
 </user>
 <user>
  <title>Dr.</title>
  <name first="Haydee" middle="" last="Hernandez-Arellano"></name>
  <organization>BUAP</organization>
  <emailHash>5848375cb8b0db28e94350f19dcb744f</emailHash>
 </user>
 <user>
  <title>Prof.</title>
  <name first="Isabel" middle="" last="Pedraza"></name>
  <organization>Benemérita Universidad Autónoma de Puebla</organization>
  <emailHash>65efd11437264d48aa1f7486255a57bc</emailHash>
 </user>
</chair>
<contribution color="" textcolor="">
 <ID>62</ID>
 <parentProtection>false</parentProtection>
 <materialList>[["minutes", "Minutes"], ["notes", "Notes"], ["paper", "Paper"], ["poster", "Poster"], ["slides", "Slides"], ["summary", "Summary"]]</materialList>
 <title>Application of the worm algorithm to the 1D Bose-Hubbard model</title>
 <speakers>
  <user>
   <title>Mr.</title>
   <name first="Omahr" middle="" last="Garciapina"></name>
   <organization>UNAM</organization>
   <emailHash>bedc63a0e293e1e09277afc5b46f24a0</emailHash>
  </user>
 </speakers>
 <primaryAuthors>
  <user>
   <title>Mr.</title>
   <name first="Omahr" middle="" last="Garciapina"></name>
   <organization>UNAM</organization>
   <emailHash>bedc63a0e293e1e09277afc5b46f24a0</emailHash>
  </user>
 </primaryAuthors>
 <duration>00:15</duration>
 <abstract>The Worm Algorithm is a versatile Path Integral Monte Carlo method which circumvents some of the near-critical limitations present in local update algorithms, such as Metropolis. It achieves this by sampling an extended configuration space called the Z-Sector, which contains  the unphysical open worldlines corresponding to off-diagonal elements in the density matrix.   In this work, the worm algorithm is applied to the Bose-Hubbard model: a prototypical model for interacting bosons, and which can be experimentally realized by optical lattices. The B-H model experiments a quantum phase transition which is of the Berezinskii–Kosterlitz–Thouless type in 1D. By simulating equilibrium configurations using the worm algorithm and measuring the superfluid index, the well known phase diagram of the B-H model is captured.</abstract>
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