- Readout noise model reviewed.
- The spectrum extraction steps were reviewed. eg.) the function apext_flatfield is implemented. Now that we implemented all the same reduction steps as the process with IRAF.
- Minor adjustments for the continuum fitting, and the Y/J band reduction.
- Add new class Stream1D for further reduction of 1D spectra (e.g., remove fringe, sky emission mask, etc...), while the functions are still under development.
Status of the pipeline: Results from our evaluations
(These results will be shown in my PhD thesis and Y. Kasagi et al. in prep.)
- The spectral variability between multiple frames of the same object and observed on the same night was examined. I found that they behave more stably with PyIRD than with the conventional pipeline (with IRAF), mainly due to the improvement of the readout noise reduction.
- Notably, readout noise removal for REACH data works better with PyIRD.