RECTE module

ramp effect model

Version 1.0.0: published version

Version 0.1: Adapted original IDL code (From D. Apai) to python by Yifan Zhou

RECTE.RECTE(cRates, tExp, exptime=180, trap_pop_s=0, trap_pop_f=0, dTrap_s=0, dTrap_f=0, dt0=0, lost=0, mode='scanning')

This function calculates HST/WFC3/IR ramp effect profile based on the charge trapping explanation developed in Zhou et al. (2017).

param cRates:intrinsic count rate of each exposures, unit: e/s type cRates:numpy.array param tExp:time stamps for the exposures, unit: seconds type tExp:numpy.array param exptime:(default 180 seconds) exposure time type exptime:numpy.array or float param trap_pop_s:  (default 0) number of occupied slow population charge traps before the very beginning of the observation type trap_pop_s:  float or numpy.array param trap_pop_f:  (default 0) number of occupied fast population charge traps before the very beginning of the observation type trap_pop_f:  float or numpy.array param dTrap_s:(default [0]) number of additional charges trapped by slow population traps during earth occultation type dTrap_s:float or numpy.array param dTrap_f:(default [0]) number of additional charges trapped by fast population traps during earth occultation type dTrap_f:float or numpy.array param dt0:(default 0) exposure time before the very beginning of the observation. It could be due to guidence adjustment type dt0:float param lost:(default 0, no lost) fraction of trapped electrons that are not eventually detected type lost:float param mode:(default scanning, scanning or staring, or others), for scanning mode observation , the pixel no longer receive photons during the overhead time, in staring mode, the pixel keps receiving elctrons type mode:string returns:observed counts rtype:numpy.array Example:

see Examples and Cookbook