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 simulations
- 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
- We are working on machine-learning-based source classification
- We are working on construction and formatting of the alert packets
- RECENT UPDATE: We have a prototype pipeline, which goes from input L2 image to source detection from a difference image!
