Degradation correction factors constant since 2020

[ebuchlin]

Hello,

This code with aiapy 0.11.0:

import numpy as np
import matplotlib.pyplot as plt

from astropy.time import Time, TimeDelta
import astropy.units as u
from astropy.visualization import time_support

from aiapy.calibrate import degradation
from aiapy.calibrate.utils import get_correction_table

time_support(format="jyear")

dates = Time("2010-07-01") + TimeDelta("1 yr") * np.linspace(0, 15, num=181)
channels = [94, 131, 171, 193, 211, 304, 335] * u.angstrom
correction_table = get_correction_table("jsoc")
for channel in channels:
    correction_factor = degradation(channel, dates, correction_table=correction_table)
    plt.plot(dates, correction_factor, label=channel)
plt.legend()
plt.grid()
plt.show()

produces this plot

showing that there has been no change in the correction factors since 2020 (which seems to be consistent with what I understand from the content of correction_table in the rows for 2020-06-01T12 to 2030-05-01T00).

Would that be related to #375 ? Or is there a more fundamental issue, such as the end of the calibration rockets series? In that case, how could more realistic correction factors be obtained?

[nabobalis]

I will need to check but there has been no update to the tables since 2021 when that came in V10.

I am too low level to know if there will ever be a new update to the values. I will ask the AIA PI.

[nabobalis]

I asked and LMSAL is working on an update with new data from an EVE rocket launch. The bad news is that I have no ETA.

[ebuchlin]

Thanks for checking with the team. I have found information about the successful 2023 EVE rocket launch, but not about the outcome of the 2023 Heliophysics Senior Review (with possible continuation of the EVE rocket programme and launches planned in 2025 and 2027). Then I understand that the AIA calibration data also takes time to be produced. This is vital for any quantitative use of AIA data, e.g. for DEMs.