PaperPanorama

Nuclear Experiment·nucl-ex

Mon·Jun 5, 2023

2 papers0 primary·2 cross-listed·reconstructed*

  1. 01*

    PyPWA: A Software Toolkit for Parameter Optimization and Amplitude Analysis

    Mark Jones🇺🇸 · Peter Hurck🇬🇧 · William Phelps🇺🇸 · Carlos W. Salgado🇺🇸

    PyPWA is a toolkit designed to optimize parametric models describing data and generate simulated distributions according to a model. Its software has been written within the python ecosystem with the goal of performing Amplitude or Partial Wave Analysis (PWA) in nuclear and particle physics experiments. We briefly describe the general features of amplitude analysis and the PyPWA software design and usage. We provide benchmarks of the scaling and an example of its application.

    physics.data-anhep-exnucl-exNucl.Instrum.Meth.A(2024)·0 citations
  2. 02*

    Confirmation of the spectral excess in DAMIC at SNOLAB with skipper CCDs

    A. Aguilar-Arevalo🇲🇽 · I. Arnquist🇺🇸 · N. Avalos🇦🇷 · L. Barak🇮🇱 · D. Baxter🇺🇸 · X. Bertou🇦🇷 · I.M. Bloch🇺🇸 · A.M. Botti🇺🇸 · M. Cababie🇦🇷 · G. Cancelo🇺🇸 · N. Castelló-Mor🇪🇸 · B.A. Cervantes-Vergara🇲🇽 and 60 other authors

    We present results from a 3.25 kg-day target exposure of two silicon charge-coupled devices (CCDs), each with 24 megapixels and skipper readout, deployed in the DAMIC setup at SNOLAB. With a reduction in pixel readout noise of a factor of 10 relative to the previous detector, we investigate the excess population of low-energy events in the CCD bulk previously observed above expected backgrounds. We address the dominant systematic uncertainty of the previous analysis through a depth fiducialization designed to reject surface backgrounds on the CCDs. The measured bulk ionization spectrum confirms the presence of an excess population of low-energy events in the CCD target with characteristic rate of events per kg-day and electron-equivalent energies of eV, whose origin remains unknown.

    astro-ph.COhep-exnucl-exPRD(2024)·26 citations

* Reconstructed cohort: no mailing for this day survives in the archive. Papers are grouped by their submission times and arXiv's announcement cut-off, assuming announcement without delay; positions follow identifier order. Validated at ~91% exact-day agreement against the archived era.