Progress to date

These are among the items which we have been working on as steps toward the RAPID pipeline

  • We have stood up our computing environment on Amazon Web Services (AWS), including databases
  • We have prototyped an initial simple image differencing pipeline module
  • We have been utilizing the NASA Open Universe Rubin-Roman image simulationsimage differencing algorithm comparison
  • We have been testing and evaluating different image differencing algorithms
    • ZOGY (Zackay, Ofek, & Gal-Yam 2016), SFFT (Hu+2022), hybrid cross-convolution+SFFT (Hu & Wang 2024)
    • We are also investigating TRANSLIENT (Springer+2024)
    • We have been exploring machine learning algorithms for transient detection (Sedaghat & Mahabal 2017)
  • We have been testing both AWAICGEN (Masci 2009) and SWarp (Bertin 2010) for image reprojection to a common grid
  • We have been constructing code to inject further fake transient sources into the existing image simulations for testing recovery completeness
  • We have been working on a scheme for reference images, which will be constructed for sky tiles based on the Roman sky tessellation