ECLAIRsDetectorEffectDefault

class ECLAIRsDetectorEffectDefault

Bases: ecpi.common.instru.model_effect.ECLAIRsDetectorEffect

Default class of ECLAIRsDetectorEffect

Init with default values

Attributes Summary

chan_boundary
chan_center
chan_step

Methods Summary

arf_percent()
chan_nb()
get_energymax_val(chan)	Return energy value in a given channel index.
get_energymin_val(chan)	Return energy value in a given channel index.
get_irf_array_ijecpi()	Return raw IRF array from EIC
get_irf_val_ecllos(y_pix, z_pix[, channel, ngp])	Return IRF value at position with ECLLos referential in pixel unit
get_list_rv_rmf()	return a list of generator object for each channel
get_rmf_max_channel_def(channel)	return channel where rmf becomes and stay to zero
get_rmf_norm(channel)	Normalize rmf distribution
get_rmf_raw(channel)	return:rmf of channel as readed in EIC file
plot_irf([p_mes])
reduce_channel(nb_chan)
set_arf(path_arf)	Set ARF related attributes from file path
set_irf(path_irf)	Set IRF related attributes from file path
set_rmf(path_rmf)	Set RMF related attributes from file path
simu_rmf_channel(channel, nb_photon)	Compute RMF for only one channel

Attributes Documentation

chan_boundary

chan_center

chan_step

Methods Documentation

arf_percent()

chan_nb()

get_energymax_val(chan)

Return energy value in a given channel index.

Parameters:chan (int) – upper channel index Returns:energy value Return type:float

get_energymin_val(chan)

Return energy value in a given channel index.

Parameters:chan (int) – lower channel index Returns:energy value Return type:float

get_irf_array_ijecpi()

Return raw IRF array from EIC

Returns:raw IRF array, ie IRF value for pixel center in array 199x199 Return type:2D numpy array 199x199

get_irf_val_ecllos(y_pix, z_pix, channel=None, ngp=False)

Return IRF value at position with ECLLos referential in pixel unit

Warning

problem with border with array 199x199 ? Need to extrapolate ?

Parameters:y_pix (float) – y position in ECLLos referential in pixel unit

:param z_pix:z position in ECLLos referential in pixel unit :type z_pix: float :param channel: Energy channel index in EIC convention. Default is None. :type channel: int :param ngp: flag to opt for the Nearest Grid Position algorithm. Default is False. :type ngp: bool :param verbose: flag to enable/disable printing of the IRF coeff value. Default is False. :type verbose: bool :return: value of IRF at (y_pix, z_pix) :rtype: float

get_list_rv_rmf()

return a list of generator object for each channel

Returns:list of generator object for each channel Return type:generator object is an instance of scipy.stats.rv_discrete

get_rmf_max_channel_def(channel)

return channel where rmf becomes and stay to zero :return: index of first zero on distribution :rtype: int

get_rmf_norm(channel)

Normalize rmf distribution :return: rmf normalize :rtype: numpy array

get_rmf_raw(channel)

Returns:rmf of channel as readed in EIC file Return type:numpy array

plot_irf(p_mes='')

reduce_channel(nb_chan)

set_arf(path_arf)

Set ARF related attributes from file path

Parameters:path_arf (str) – path to ARF file

set_irf(path_irf)

Set IRF related attributes from file path

Parameters:path_irf (str) – path to IRF file

set_rmf(path_rmf)

Set RMF related attributes from file path

Parameters:path_rmf (str) – path to RMF file

simu_rmf_channel(channel, nb_photon)

Compute RMF for only one channel

Parameters:

• channel (int) – [0..nb channel[
• nb_photon (int) – number of incident photon in channel

Returns:

channel number where incident photon was detected

Return type:

numpy array with size nb_photon