ACA dark current¶
The mica.archive.aca_dark
package provides modules related to the ACA dark current:
Dark current calibrations¶
The mica.archive.aca_dark.dark_cal
module provides functions for retrieving
data for the ACA full-frame dark current calibrations which occur about four
times per year (see the ACA dark calibrations TWiki page).
The functions available are documented in the mica.archive.aca_dark section, but the most useful are:
dark_temp_scale()
: get the temperature scaling correction
get_dark_cal_dirs()
: get an ordered dict of dark cal identifer and directory
get_dark_cal_image()
: get a single dark cal image
get_dark_cal_props()
: get properties (e.g. date, temperature) of a dark cal
get_dark_cal_props_table()
: get properties of dark cals over a time range as a table
As an example, let’s plot the raw and corrected warm pixel fraction over the mission. The correction in this case is done to a reference temperature of -15 C:
from mica.archive.aca_dark import dark_cal
from Ska.Matplotlib import plot_cxctime
from Chandra.Time import DateTime
dark_cals = dark_cal.get_dark_cal_dirs()
times = []
n100 = []
n100_m15 = []
npix = 1024. * 1024.
for dark_id in dark_cals:
print('Reading {}'.format(dark_id))
props = dark_cal.get_dark_cal_props(dark_id, include_image=True)
scale = dark_cal.dark_temp_scale(props['ccd_temp'], -15.0)
image = props['image']
times.append(props['date'])
n100.append(np.count_nonzero(image > 100.0) / npix)
n100_m15.append(np.count_nonzero(image * scale > 100.0) / npix)
times = DateTime(times).secs
figure(figsize=(6, 4))
plot_cxctime(times, n100, 'o-', color='red')
plot_cxctime(times, n100_m15, 's-', color='cyan')
grid(True)
xlim(DateTime('2000:001').plotdate, DateTime().plotdate)
ylim(0, None)
title('Warm pixel fraction')
Note that the temperature assigned to a dark calibration is the mean of the temperature for the invidivual dark replicas (typically 5). These in turn use ACA hdr3 diagnostic telemetry for high-resolution temperature readouts which are available before and after (but not during) each replica.