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DTSTAMP:20260624T171343Z
LOCATION:Bldg. 8 - B 102
DTSTART;TZID=Europe/Stockholm:20260629T160000
DTEND;TZID=Europe/Stockholm:20260629T180000
UID:submissions.pasc-conference.org_PASC26_sess144@linklings.com
SUMMARY:MS2H - Toward FAIR and Reproducible Dark Matter Science: Co-Design
  of Data Infrastructure, AI Workflows, and Community Datasets
DESCRIPTION:Organizer(s): Michela Taufer (University of Tennessee), Amy Ro
 berts (University of Colorado Denver), and Belina von Krosigk (Kirchhoff-I
 nstitute for Physics (KIP))\n\nDark matter constitutes approximately 85% o
 f the universe's matter, yet its nature remains elusive. Direct detection 
 experiments, though globally deployed, have historically generated data lo
 cked within custom formats and non-reproducible software stacks — limiting
  interdisciplinary analysis and innovation. As AI and machine learning bec
 ome integral to scientific workflows, ensuring data are FAIR and accompani
 ed by rigorous provenance is essential for reproducibility and trust. This
  minisymposium uses dark matter science as a concrete case study in co-des
 igning data infrastructure and AI-ready workflows. Centered on the Nationa
 l Science Data Fabric (NSDF) and the SuperCDMS collaboration, three talks 
 address this challenge from complementary angles: rethinking data formats 
 and computing using DELight as a testbed for future experiments; establish
 ing metadata standards that make AI-driven analyses reproducible and audit
 able; and building an open community dataset by converting proprietary det
 ector data into accessible, machine-learning-ready formats. Together, thes
 e case studies show how federated, inclusive data ecosystems broaden parti
 cipation and strengthen confidence in scientific results — directly aligne
 d with the PASC26 theme, "Building Trust in Science through HPC Co-Design.
 "\n\nToward FAIR and Reproducible Dark Matter Science: Co-Design of Data I
 nfrastructure, AI Workflows, and Community Datasets\n\nDark matter constit
 utes approximately 85% of the universe's matter, yet its nature remains el
 usive. Direct detection experiments, though globally deployed, have histor
 ically generated data locked within custom formats and non-reproducible so
 ftware stacks — limiting interdisciplinary analysis a...\n\n\nBelina von K
 rosigk (Kirchhoff-Institute for Physics (KIP)), Amy Roberts (University of
  Colorado Denver), and Michela Taufer (University of Tennessee)\n---------
 ------------\nDELight as a Testbed: Rethinking Computing, Data Formats, an
 d Workflows for Future Dark Matter Science\n\nDELight is a cryogenic detec
 tor experiment designed to probe low-mass dark matter interactions. As a n
 ew experiment, it offers an opportunity to rethink data infrastructure and
  data release plans.  This talk presents DELight as a case study in co-des
 igning modern, open data formats alongside detecto...\n\n\nBelina von Kros
 igk (Heidelberg University)\n---------------------\nMetadata and Data Need
 s for Reproducible AI Workflows in Dark Matter Science: Case Studies from 
 the SuperCDMS Collaboration\n\nNext-generation direct-detection dark matte
 r experiments are coming online worldwide, promising unprecedented sensiti
 vity to dark matter interactions. At these sensitivity levels, accurate ba
 ckground measurements are essential.  Cross-experiment collaboration among
  co-located detectors offers a powe...\n\n\nAmy Roberts (University of Col
 orado Denver)\n---------------------\nThe Making of a Community Dark Matte
 r Dataset with the National Science Data Fabric\n\nDark matter direct dete
 ction experiments worldwide generate rich, high-value datasets, yet these 
 remain largely inaccessible to the broader community due to proprietary fo
 rmats, non-reproducible software stacks, and high barriers to entry for ne
 w collaborators. This talk describes how the National S...\n\n\nMichela Ta
 ufer (University of Tennessee)\n\nDomain: Physics, Computational Methods a
 nd Applied Mathematics\n\nSession Chairs: Michela Taufer (University of Te
 nnessee), Amy Roberts (University of Colorado Denver), and Belina von Kros
 igk (Kirchhoff-Institute for Physics (KIP))
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