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Dance for Land is a project and partnership between an Aztec dance group in Arizona and western researchers to co-produce informal learning experiences that weave Indigenous and western earth and environmental knowledges. Our work upholds high ethical standards and centers values as requirements for collaborations with integrity. We offer this manuscript as a case of community-engaged writing of a community-led project. In a nonlinear process, we 1) defined foundational values, 2) modified and made sense of the standard research paper in terms of our Danza Azteca (dance), and 3) carved a space for the individual voices and contributions of community researchers. In addition to the written text, community researchers expressed their knowledge in multimedia; this aligns well with Indigenous science approaches. Our paper explores multivocality and acts of co-presence in the research and writing spaces, transforming them into community-inhabited spaces that vibrate, teeming with new possibilities, and offer fertile ground for innovation and mutual uplift. 

Informal science learning often requires that people visit specific spaces designed for learning such as museums, zoos, and nature centers. In this work, we consider what science learning can look like when it is explicated within existing community-centered activities and using community frameworks. Here we discuss a collaboration between/within an Aztec Dance group and western researchers (often one and the same people) to facilitate re-Indigenization of informal education. This work focuses on engaging Land as a teacher during learning experiences where western and Indigenous knowledges interact to build deeper understandings about the environment with us in it. Yolloincuauhtli, ‘Heart of the Eagle’, is a Grupo de Danza Azteca (Aztec Dance group) of Indigenous and mixed-heritage peoples based in Salt River, lands of the Onk Akimel O’odham and the Xalychidom Piipaash, Arizona. The presenters are members of Yolloincuauhtli and represent the group as a community leader (Ramona) and a geoscience education researcher (Michel). This presentation will specifically focus on the group’s process for identifying, operationalizing and pictorically representing the Indigenous values that underpin our research-practice collaboration. These values are connected to Indigenous research methods, such as enacting the values of reciprocity and community through engaging in multi-faceted and holistic land engagements. Overall, this experience has broadened and deepened Yolloincuauhtli’ interpersonal and Land relationships as well as the group’s own recognition of themselves as scientists and knowledge holders. This work seeks to transform informal science education into a practice that moves science back into connection with the places, spaces, and activities where people already belong. 

Abstract Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation. 

Abstract DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6  $$\times $$ ×  6  $$\times $$ ×  6 m $$^3$$ 3 liquid argon time-projection-chamber (LArTPC) that recorded cosmic-muon data at the CERN Neutrino Platform in 2019–2020 as a prototype of the DUNE Far Detector. Charged particles propagating through the LArTPC produce ionization and scintillation light. The scintillation light signal in these detectors can provide the trigger for non-beam events. In addition, it adds precise timing capabilities and improves the calorimetry measurements. In ProtoDUNE-DP, scintillation and electroluminescence light produced by cosmic muons in the LArTPC is collected by photomultiplier tubes placed up to 7 m away from the ionizing track. In this paper, the ProtoDUNE-DP photon detection system performance is evaluated with a particular focus on the different wavelength shifters, such as PEN and TPB, and the use of Xe-doped LAr, considering its future use in giant LArTPCs. The scintillation light production and propagation processes are analyzed and a comparison of simulation to data is performed, improving understanding of the liquid argon properties. 

Abstract The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber (LArTPC) that was constructed and operated in the CERN North Area at the end of the H4 beamline. This detector is a prototype for the first far detector module of the Deep Underground Neutrino Experiment (DUNE), which will be constructed at the Sandford Underground Research Facility (SURF) in Lead, South Dakota, U.S.A. The ProtoDUNE-SP detector incorporates full-size components as designed for DUNE and has an active volume of 7 × 6 × 7.2 m 3 . The H4 beam delivers incident particles with well-measured momenta and high-purity particle identification. ProtoDUNE-SP's successful operation between 2018 and 2020 demonstrates the effectiveness of the single-phase far detector design. This paper describes the design, construction, assembly and operation of the detector components. 

Abstract The Deep Underground Neutrino Experiment (DUNE), a 40-kton underground liquid argon time projection chamber experiment, will be sensitive to the electron-neutrino flavor component of the burst of neutrinos expected from the next Galactic core-collapse supernova. Such an observation will bring unique insight into the astrophysics of core collapse as well as into the properties of neutrinos. The general capabilities of DUNE for neutrino detection in the relevant few- to few-tens-of-MeV neutrino energy range will be described. As an example, DUNE’s ability to constrain the $$\nu _e$$ ν e spectral parameters of the neutrino burst will be considered.