Level_0

class esis.data.level_0.Level_0(intensity=None, intensity_uncertainty=None, wcs=None, time=None, time_index=None, channel=None, exposure_length=None, cam_sn=None, global_index=None, requested_exposure_time=None, run_mode=None, status=None, fpga_temp=None, fpga_vccint_voltage=None, fpga_vccaux_voltage=None, fpga_vccbram_voltage=None, adc_temp_1=None, adc_temp_2=None, adc_temp_3=None, adc_temp_4=None, detector=None, caching=False, num_dark_safety_frames=1, num_ignored_bias_columns=20)

Bases: kgpy.observatories.Obs

__init__(intensity=None, intensity_uncertainty=None, wcs=None, time=None, time_index=None, channel=None, exposure_length=None, cam_sn=None, global_index=None, requested_exposure_time=None, run_mode=None, status=None, fpga_temp=None, fpga_vccint_voltage=None, fpga_vccaux_voltage=None, fpga_vccbram_voltage=None, adc_temp_1=None, adc_temp_2=None, adc_temp_3=None, adc_temp_4=None, detector=None, caching=False, num_dark_safety_frames=1, num_ignored_bias_columns=20)

Initialize self. See help(type(self)) for accurate signature.

Parameters

• intensity (Optional[astropy.units.Quantity]) –

• intensity_uncertainty (Optional[astropy.units.Quantity]) –

• wcs (Optional[numpy.ndarray]) –

• time (Optional[astropy.time.Time]) –

• time_index (Optional[numpy.ndarray]) –

• channel (Optional[astropy.units.Quantity]) –

• exposure_length (Optional[astropy.units.Quantity]) –

• cam_sn (Optional[numpy.ndarray]) –

• global_index (Optional[numpy.ndarray]) –

• requested_exposure_time (Optional[astropy.units.Quantity]) –

• run_mode (Optional[numpy.ndarray]) –

• status (Optional[numpy.ndarray]) –

• fpga_temp (Optional[astropy.units.Quantity]) –

• fpga_vccint_voltage (Optional[astropy.units.Quantity]) –

• fpga_vccaux_voltage (Optional[astropy.units.Quantity]) –

• fpga_vccbram_voltage (Optional[astropy.units.Quantity]) –

• adc_temp_1 (Optional[astropy.units.Quantity]) –

• adc_temp_2 (Optional[astropy.units.Quantity]) –

• adc_temp_3 (Optional[astropy.units.Quantity]) –

• adc_temp_4 (Optional[astropy.units.Quantity]) –

• detector (Optional[esis.optics.detector.Detector]) –

• caching (bool) –

• num_dark_safety_frames (int) –

• num_ignored_bias_columns (int) –

Return type

None

Attributes

adc_temp_1
adc_temp_2
adc_temp_3
adc_temp_4
axis
bias	rtype astropy.units.Quantity
caching
cam_sn
channel
channel_labels	rtype typing.List[str]
channel_signal	rtype astropy.units.Quantity
dark_nobias	rtype astropy.units.Quantity
detector
exposure_length
fpga_temp
fpga_vccaux_voltage
fpga_vccbram_voltage
fpga_vccint_voltage
global_index
intensity
intensity_derivative	rtype astropy.units.Quantity
intensity_nobias	returns: :rtype: Bias subtracted data
intensity_nobias_nodark	rtype astropy.units.Quantity
intensity_nobias_nodark_active
intensity_signal	rtype astropy.units.Quantity
intensity_uncertainty
num_channels	rtype int
num_dark_safety_frames
num_ignored_bias_columns
num_times	rtype int
requested_exposure_time
requested_exposure_time_signal	rtype astropy.units.Quantity
run_mode
shape	rtype typing.Tuple[int, …]
signal_index_first	rtype int
signal_index_last	rtype int
signal_slice	rtype slice
status
time
time_index
time_index_signal	rtype astropy.units.Quantity
time_signal	rtype astropy.time.Time
wcs

Methods

__init__([intensity, intensity_uncertainty, …])	Initialize self.
animate(data[, time_slice, axs, thresh_min, …])	rtype matplotlib.animation.FuncAnimation
animate_channel(images, image_names[, ax, …])
animate_intensity([axs, thresh_min, …])	rtype matplotlib.animation.FuncAnimation
animate_intensity_channel([ax, time_slice, …])	rtype matplotlib.animation.FuncAnimation
blink_intensity_nobias_nodark([time_index, …])
from_directory(directory, detector[, …])	rtype esis.data.level_0.Level_0
plot_adc_temperature([ax])	rtype matplotlib.axes.Axes
plot_bias([ax])	rtype matplotlib.axes.Axes
plot_bias_subtraction_vs_index([axs])	rtype typing.MutableSequence[matplotlib.axes.Axes]
plot_channel(image[, image_name, ax, …])	rtype matplotlib.axes.Axes
plot_channel_from_data(data[, ax, …])	rtype matplotlib.axes.Axes
plot_dark([axs])	rtype typing.MutableSequence[matplotlib.axes.Axes]
plot_exposure_length([ax])	rtype matplotlib.axes.Axes
plot_exposure_stats_vs_index([axs])	rtype typing.MutableSequence[matplotlib.axes.Axes]
plot_fpga_stats_vs_index([axs])	rtype typing.MutableSequence[matplotlib.axes.Axes]
plot_fpga_temp([ax])	rtype matplotlib.axes.Axes
plot_fpga_vccaux([ax])	rtype matplotlib.axes.Axes
plot_fpga_vccbram([ax])	rtype matplotlib.axes.Axes
plot_fpga_vccint([ax])	rtype matplotlib.axes.Axes
plot_intensity_channel([ax, time_index, …])	rtype matplotlib.axes.Axes
plot_intensity_mean_vs_time([ax])	rtype matplotlib.axes.Axes
plot_intensity_nobias_mean([ax])	rtype matplotlib.axes.Axes
plot_intensity_time([axs, time_index, …])	rtype numpy.ndarray
plot_quantity_vs_index(a[, a_name, ax, …])	type a astropy.units.Quantity
plot_time(images, image_names, axs[, …])	rtype numpy.ndarray
plot_time_from_data(data[, axs, time_index, …])	rtype numpy.ndarray
update()	rtype typing.NoReturn
zeros(shape)	rtype esis.data.level_0.Level_0

Inheritance Diagram

animate(data, time_slice=slice(None, None, None), axs=None, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>, norm_gamma=1, frame_interval=<Quantity 100. ms>)

Return type

matplotlib.animation.FuncAnimation

Parameters

• data (astropy.units.Quantity) –

• time_slice (slice) –

• axs (Optional[numpy.ndarray]) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

• norm_gamma (float) –

• frame_interval (astropy.units.Quantity) –

animate_channel(images, image_names, ax=None, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>, norm_gamma=1, norm_vmin=None, norm_vmax=None, frame_interval=<Quantity 1. s>)

Parameters

• images (astropy.units.Quantity) –

• image_names (List[str]) –

• ax (Optional[matplotlib.axes.Axes]) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

• norm_gamma (float) –

• norm_vmin (Optional[astropy.units.Quantity]) –

• norm_vmax (Optional[astropy.units.Quantity]) –

• frame_interval (astropy.units.Quantity) –

animate_intensity(axs=None, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>, norm_gamma=1, frame_interval=<Quantity 100. ms>)

Return type

matplotlib.animation.FuncAnimation

Parameters

• axs (Optional[MutableSequence[matplotlib.axes.Axes]]) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

• norm_gamma (float) –

• frame_interval (astropy.units.Quantity) –

animate_intensity_channel(ax=None, time_slice=None, channel_index=0, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>, norm_gamma=1, frame_interval=<Quantity 100. ms>)

Return type

matplotlib.animation.FuncAnimation

Parameters

• ax (Optional[matplotlib.axes.Axes]) –

• time_slice (Optional[slice]) –

• channel_index (int) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

• norm_gamma (float) –

• frame_interval (astropy.units.Quantity) –

blink_intensity_nobias_nodark(time_index=0, channel_index=0, ax=None, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>, norm_gamma=1, frame_interval=<Quantity 1. s>)

Parameters

• time_index (int) –

• channel_index (int) –

• ax (Optional[matplotlib.axes.Axes]) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

• norm_gamma (float) –

• frame_interval (astropy.units.Quantity) –

classmethod from_directory(directory, detector, caching=False, num_dark_safety_frames=1)

Return type

esis.data.level_0.Level_0

Parameters

• directory (pathlib.Path) –

• detector (esis.optics.detector.Detector) –

• caching (bool) –

• num_dark_safety_frames (int) –

plot_adc_temperature(ax=None)

Return type

matplotlib.axes.Axes

Parameters

ax (Optional[matplotlib.axes.Axes]) –

plot_bias(ax=None)

Return type

matplotlib.axes.Axes

Parameters

ax (Optional[matplotlib.axes.Axes]) –

plot_bias_subtraction_vs_index(axs=None)

Return type

typing.MutableSequence[matplotlib.axes.Axes]

Parameters

axs (Optional[MutableSequence[matplotlib.axes.Axes]]) –

plot_channel(image, image_name='', ax=None, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>, colorbar_location='right', transpose=False)

Return type

matplotlib.axes.Axes

Parameters

• image (astropy.units.Quantity) –

• image_name (str) –

• ax (Optional[matplotlib.axes.Axes]) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

• colorbar_location (str) –

• transpose (bool) –

plot_channel_from_data(data, ax=None, time_index=0, channel_index=0, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>)

Return type

matplotlib.axes.Axes

Parameters

• data (astropy.units.Quantity) –

• ax (Optional[matplotlib.axes.Axes]) –

• time_index (int) –

• channel_index (int) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

plot_dark(axs=None)

Return type

typing.MutableSequence[matplotlib.axes.Axes]

Parameters

axs (Optional[MutableSequence[matplotlib.axes.Axes]]) –

plot_exposure_length(ax=None)

Return type

matplotlib.axes.Axes

Parameters

ax (Optional[matplotlib.axes.Axes]) –

plot_exposure_stats_vs_index(axs=None)

Return type

typing.MutableSequence[matplotlib.axes.Axes]

Parameters

axs (Optional[MutableSequence[matplotlib.axes.Axes]]) –

plot_fpga_stats_vs_index(axs=None)

Return type

typing.MutableSequence[matplotlib.axes.Axes]

Parameters

axs (Optional[MutableSequence[matplotlib.axes.Axes]]) –

plot_fpga_temp(ax=None)

Return type

matplotlib.axes.Axes

Parameters

ax (Optional[matplotlib.axes.Axes]) –

plot_fpga_vccaux(ax=None)

Return type

matplotlib.axes.Axes

Parameters

ax (Optional[matplotlib.axes.Axes]) –

plot_fpga_vccbram(ax=None)

Return type

matplotlib.axes.Axes

Parameters

ax (Optional[matplotlib.axes.Axes]) –

plot_fpga_vccint(ax=None)

Return type

matplotlib.axes.Axes

Parameters

ax (Optional[matplotlib.axes.Axes]) –

plot_intensity_channel(ax=None, time_index=0, channel_index=0, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>)

Return type

matplotlib.axes.Axes

Parameters

• ax (Optional[matplotlib.axes.Axes]) –

• time_index (int) –

• channel_index (int) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

plot_intensity_mean_vs_time(ax=None)

Return type

matplotlib.axes.Axes

Parameters

ax (Optional[matplotlib.axes.Axes]) –

plot_intensity_nobias_mean(ax=None)

Return type

matplotlib.axes.Axes

Parameters

ax (Optional[matplotlib.axes.Axes]) –

plot_intensity_time(axs=None, time_index=0, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>)

Return type

numpy.ndarray

Parameters

• axs (Optional[MutableSequence[matplotlib.axes.Axes]]) –

• time_index (int) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

plot_quantity_vs_index(a, a_name='', ax=None, legend_ncol=1, drawstyle='steps')

Parameters

• a (astropy.units.Quantity) –

• a_name (str) –

• ax (typing.Optional[matplotlib.axes.Axes]) –

• legend_ncol (int) –

• drawstyle (str) –

Returns

Return type

matplotlib.axes.Axes

plot_time(images, image_names, axs, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>)

Return type

numpy.ndarray

Parameters

• images (astropy.units.Quantity) –

• image_names (Sequence[str]) –

• axs (Optional[MutableSequence[matplotlib.axes.Axes]]) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

plot_time_from_data(data, axs=None, time_index=0, thresh_min=<Quantity 0.01 %>, thresh_max=<Quantity 99.9 %>)

Return type

numpy.ndarray

Parameters

• data (astropy.units.Quantity) –

• axs (Optional[MutableSequence[matplotlib.axes.Axes]]) –

• time_index (int) –

• thresh_min (astropy.units.Quantity) –

• thresh_max (astropy.units.Quantity) –

update()

Return type

typing.NoReturn

classmethod zeros(shape)

Return type

esis.data.level_0.Level_0

Parameters

shape (Sequence[int]) –

adc_temp_1: Optional[astropy.units.Quantity] = None

adc_temp_2: Optional[astropy.units.Quantity] = None

adc_temp_3: Optional[astropy.units.Quantity] = None

adc_temp_4: Optional[astropy.units.Quantity] = None

axis: ClassVar[kgpy.observatories.ObsAxis] = <kgpy.observatories.ObsAxis object>

property bias

Return type

astropy.units.Quantity

caching: bool = False

cam_sn: Optional[numpy.ndarray] = None

channel: Optional[astropy.units.Quantity] = None

property channel_labels

Return type

typing.List[str]

property channel_signal

Return type

astropy.units.Quantity

property dark_nobias

Return type

astropy.units.Quantity

detector: Optional[esis.optics.detector.Detector] = None

exposure_length: Optional[astropy.units.Quantity] = None

fpga_temp: Optional[astropy.units.Quantity] = None

fpga_vccaux_voltage: Optional[astropy.units.Quantity] = None

fpga_vccbram_voltage: Optional[astropy.units.Quantity] = None

fpga_vccint_voltage: Optional[astropy.units.Quantity] = None

global_index: Optional[numpy.ndarray] = None

intensity: Optional[astropy.units.Quantity] = None

property intensity_derivative

Return type

astropy.units.Quantity

property intensity_nobias

returns: :rtype: Bias subtracted data

property intensity_nobias_nodark

Return type

astropy.units.Quantity

property intensity_nobias_nodark_active

property intensity_signal

Return type

astropy.units.Quantity

intensity_uncertainty: Optional[astropy.units.Quantity] = None

property num_channels

Return type

int

num_dark_safety_frames: int = 1

num_ignored_bias_columns: int = 20

property num_times

Return type

int

requested_exposure_time: Optional[astropy.units.Quantity] = None

property requested_exposure_time_signal

Return type

astropy.units.Quantity

run_mode: Optional[numpy.ndarray] = None

property shape

Return type

typing.Tuple[int, …]

property signal_index_first

Return type

int

property signal_index_last

Return type

int

property signal_slice

Return type

slice

status: Optional[numpy.ndarray] = None

time: Optional[astropy.time.Time] = None

time_index: Optional[numpy.ndarray] = None

property time_index_signal

Return type

astropy.units.Quantity

property time_signal

Return type

astropy.time.Time

wcs: Optional[numpy.ndarray] = None