Lauren's Roman forced photometry pipeline.

Runs on Troxel et al. RomanDESCSims simulated Roman WFI images. Currently developed and tested at Duke Computing Cluster and Perlmutter at NERSC.

Depends on

phrosty
roman_imsim

Runs with

1. get_object_instances.py to get all the images by filter, pointing, and SCA that contain the specified transient.
2. preprocess.py to create references, get PSFs, and do cross-convolutions.
3. sfftdiff.py to run SFFT subtraction on a GPU.
4. postprocess.py to generate decorrelation kernels, apply those to images, and make stamps.
5. mk_lc.py to extract a lightcurve from the subtractions.

sfft_and_animate_*

sfft_and_animate_*.sh as a SLURM array job that has SN ID hardcoded.
This then calls get_object_instances, preprocess, sfftdiff, postprocess, and mk_lc with the SN ID (refered to as oid in the code).
sfft_and_animate_*.py reads the SLURM_ARRAY_JOBID from the environment and uses that to select the band to process. (1-7).

sfft_and_animate_*.py reads input data from input data as defined by phrosty.utils._build_filepath, which uses environment variableSIMS_DIR to look for the data. SIMS_DIR should match where the RomanDESCSims are.

preprocess.py, sfftdiff.py, and postprocess.py write files out to environment variable DIA_OUT_DIR.

mk_lc.py writes files out to environment variable LC_OUT_DIR.

Example usage at the DCC Run on SNID 20172782 (yes, the SN IDs are 8-digit numbers beginning with 20, they are not dates), filter R062, with specified input directory.

python mk_lc.py 20172782 --band R062 --inputdir /work/lna18/