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SUMMARY:IFIC Seminar:  Rethinking HEP workflows: Leveraging Differentiable
  Simulations and Open Datasets
DTSTART;VALUE=DATE-TIME:20260602T100000Z
DTEND;VALUE=DATE-TIME:20260602T113000Z
DTSTAMP;VALUE=DATE-TIME:20260528T004754Z
UID:indico-event-8637@indico.ific.uv.es
DESCRIPTION:HEP data analysis depends on high-fidelity detector simulators
  used to translate sensor-level information into physics variables of inte
 rest. In this seminar\, I will discuss how differentiable simulations allo
 w us to rethink traditional HEP workflows by making simulation parameters 
 directly tuneable through gradient-based optimisation. I will introduce LU
 CiD\, an end-to-end differentiable simulation framework for optical partic
 le detectors. LUCiD matches the performance of established non-differentia
 ble software for Super-Kamiokande while substantially simplifying traditio
 nal workflows and enabling new analysis strategies. Moreover\, the princip
 les behind LUCiD can be readily adapted to both Cherenkov and scintillatio
 n detectors across a wide range of scales\, allowing the same framework to
  model experiments ranging from WCTE\, IWCD\, Super-Kamiokande\, and Hyper
 -Kamiokande to JUNO and neutrino telescopes such as KM3NeT and IceCube.\n\
 nThe continued development of simulation and inference techniques also dep
 ends critically on well-documented public datasets that enable method deve
 lopment\, reproducibility\, and meaningful comparisons through common benc
 hmarks. As an open-source framework\, LUCiD can generate realistic simulat
 ed events across different detector technologies and experimental configur
 ations. In the seminar\, I will also discuss ongoing efforts to produce la
 rge-scale public datasets spanning unprecedented detector diversity and la
 bel richness\, with the goal of fostering community-wide advances in detec
 tor calibration and event reconstruction.\n\nhttps://indico.ific.uv.es/eve
 nt/8637/
LOCATION:Universe 1001-Primera-1-1-1 - Paterna. Seminario
URL:https://indico.ific.uv.es/event/8637/
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