In order to fit the A and B coefficients required by #1, we need Krisciunas-model only skymaps (no gaia data) to match each all-sky camera image we use with pyASB.
[ ] Get all-sky camera specs for both Sierra La Nave and Paranal sites.
[ ] Obtain Paranal all-sky camera data for various points in the year.
[ ] Obtain Sierra La Nave all-sky camera data for various points in the year.
[ ] Run Paranal data through pyASB.
[ ] Run Sierra La Nave data through pyASB.
[ ] Generate Krisciunas maps with various A and B parameters for Paranal.
[ ] Generate Krisciunas maps with various A and B parameters for Sierra La Nave.
[ ] Decide A and B coefficients for both sites.
We can decide to down-select this to a single site, but this is likely to be the next step to validate the pixel brightness extraction code. For reference, for data from Mauna Kea:
A = 5.36
B = 6.15
for H.E.S.S. site:
A = 5.1276
B = 5.9596
In order to fit the A and B coefficients required by #1, we need Krisciunas-model only skymaps (no gaia data) to match each all-sky camera image we use with pyASB.
We can decide to down-select this to a single site, but this is likely to be the next step to validate the pixel brightness extraction code. For reference, for data from Mauna Kea:
A = 5.36
B = 6.15
for H.E.S.S. site:
A = 5.1276
B = 5.9596