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BiBTeX citation export for TUPDP130: PyDM Archive Viewer

@inproceedings{yazar:icalepcs2023-tupdp130,
  author       = {Y.G. Yazar and J.J. Bellister and Z.A. Domke and F.M. Osman and T. Summers},
  title        = {{PyDM Archive Viewer}},
% booktitle    = {Proc. ICALEPCS'23},
  booktitle    = {Proc. 19th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'23)},
  eventdate    = {2023-10-09/2023-10-13},
  pages        = {892--894},
  paper        = {TUPDP130},
  language     = {english},
  keywords     = {EPICS, feedback, GUI, target, controls},
  venue        = {Cape Town, South Africa},
  series       = {International Conference on Accelerator and Large Experimental Physics Control Systems},
  number       = {19},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {02},
  year         = {2024},
  issn         = {2226-0358},
  isbn         = {978-3-95450-238-7},
  doi          = {10.18429/JACoW-ICALEPCS2023-TUPDP130},
  url          = {https://jacow.org/icalepcs2023/papers/tupdp130.pdf},
  abstract     = {{A new open-source PyQT-based archive viewer application has been developed at SLAC National Accelerator Laboratory. The viewer’s main purpose is to visualize both live values and historical Process Variable (PV) data retrieved from the EPICS Archive Appliances. It is designed as both a stand-alone application and to be easily launched from widgets on PyDM operator interfaces. In addition to providing standard configurability for things like traces, formulas, style and data exporting, it provides post-processing capabilities for filtering and curve fitting. The current release supports standard enumerated and analog data types as well as waveforms. Extension of this to support EPICS7 normative data types such as NTTable and NTNDArray is under development. }},
}