2025 2 inbandsi

Goals

• Fit a spectrum from trusted surveys and/or NED within plot_field.py that can then be used later on within the pipeline.

Accomplishments

• Optionally plotting spectra for every source within the delay calibrator table and saving fitting parameters within delay_calibrators.csv.
• Currently it will save parameters from trusted surveys, and if that's unavailable it will save parameters from NED, stating which one, the $$\chi^2$$ and number of photometry points.

Example Plot:

For The source: --RA=193.747 --DEC=44.160

From Trusted Surveys:

From NED:

Delay Calibrator table (First and last 4 columns):

Errors

With errors included, some example plots appear as:

Implementation

It is executable with the option --fit_spec in plot_field.py.

To Dos:

• Include all possible errors from both NED and trusted surveys.