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Published January 2023 | public
Journal Article

RUNMON-RIFT: Adaptive configuration and healing for large-scale parameter inference

Abstract

Gravitational wave parameter inference pipelines operate on data containing unknown sources, and run on distributed hardware with widely varying configurations and stochastic transient errors. For one specific analysis pipeline (RIFT), we have developed a flexible tool (RUNMON-RIFT) to mitigate the most common challenges introduced by uncertainties in source parameters and computational hardware. On the one hand, RUNMON provides mechanisms to adjust pipeline-specific run settings, including prior ranges, to ensure the analysis completes and encompasses the physical source parameters. On the other, it provides tools for identifying and adjusting to the realities of hardware uncertainties. We demonstrate both general features with controlled examples.

Additional Information

© 2022 Elsevier. The authors would like to thank Daniel Williams and Colm Talbot for insightful comments and review of the manuscript. This material is based upon work supported by the National Science Foundation, United States of America under Grant Nos PHY-2012057, PHY-1841475, and PHY-2110481. The authors are grateful for computational resources provided by the LIGO-Laboratory, Leonard E Parker Center for Gravitation, Cosmology and Astrophysics at the University of Wisconsin-Milwaukee, and Inter-University Center for Astronomy & Astrophysics (IUCAA), Pune, India, and supported by National Science Foundation, United States of America Grants PHY-1626190, PHY-1700765, HY-0757058 and PHY-0823459. This research was done using resources provided by the Open Science Grid (Pordes et al., 2007, Sfiligoi et al., 2009), which is supported by the National Science Foundation, United States of America award #2030508. This research has made use of data, software and/or web tools obtained from the Gravitational Wave Open Science Center (https://www.gw-openscience.org/), a service of LIGO Laboratory, the LIGO Scientific Collaboration and the Virgo Collaboration. LIGO Laboratory and Advanced LIGO are funded by the United States National Science Foundation (NSF) as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max–Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council . Virgo is funded, through the European Gravitational Observatory (EGO), by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale di Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, Spain . This material is based upon work supported by NSF's LIGO Laboratory which is a major facility fully funded by the National Science Foundation, United States of America . This work carries LIGO document number P2100347. CRediT authorship contribution statement. R. Udall: Conceptualization, Methodology, Software, Formal Analysis, Investigation, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project Administration. J. Brandt: Methodology, Software, Investigation, Data curation, Writing – original draft, Writing – review & editing, Visualization. G. Manchanda: Methodology, Software, Writing – original draft, Writing – review & editing. A. Arulanandan: Software, Writing – original draft, Writing – review & editing. J. Clark: Validation, Resources, Writing – review & editing. J. Lange: Writing – review & editing. R. O'Shaughnessy: Conceptualization, Methodology, Resources, Writing – original draft, Writing – review & editing, Supervision, Project Administration, Funding acquisition. L. Cadonati: Resources, Supervision, Project Administration, Funding acquisition. Data availability. Data for repeating this inference is available at the Gravitational Wave Open Science Center (https://www.gw-openscience.org The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional details

Created:
August 22, 2023
Modified:
October 25, 2023