Published October 4, 2026 | Version v1

Kampylos binary-lens grid search: OGLE-2019-BLG-0972

Authors/Creators

  • 1. bitboinc

Contributors

Project leader:

  • 1. bitboinc
  • 2. BitBOINC volunteer, Croatia
  • 3. BitBOINC volunteer, United States
  • 4. BitBOINC volunteer, Germany

Description

Kampylos is a volunteer-computing (BOINC) search run by bitboinc (https://bitboinc.athena.org.tr) that re-analyzes archival gravitational microlensing survey photometry for binary-lens signals a single-lens fit alone would miss. This is the raw (log s, log q) grid search output for OGLE-2019-BLG-0972, a 2019 OGLE-IV event: for each grid point, the best-fit chi-squared and full parameter set (t0, u0, tE, alpha, rho, fs, fb) after a local optimization over those 5 parameters. Columns are documented in the file's own header line. Best delta_chi2=36.9942 relative to a single-lens fit to the same data -- reported as raw search output with no significance claim attached (see the file's own header for the exact best log_s/log_q). Input photometry is not included -- it is OGLE's own public EWS data (https://ogle.astrouw.edu.pl/ogle4/ews/ews.html). Caveat: some grid points on this page may have been computed before numerical fixes (a near-singular linear-flux-fit degeneracy, and separately a GPU/CPU backend thread-safety issue affecting the underlying magnification library) were deployed to Kampylos's backends -- treat any single extreme-looking chi2/fs/fb value with appropriate caution until reprocessed.

Volunteers: this event was computed by 5 volunteers (19 validated results) on BitBOINC. Volunteers who asked to be named: Dejan Ivanek (Croatia), Erik Veit (United States), Thomas Kledzik (Germany); and 2 other volunteers. Thank you.

Files

Files (10.0 kB)

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Additional details

Related works

Is supplement to
Software: https://github.com/alplix/kampylos (URL)