ivscan.py File Reference

Namespaces
namespace	ivscan

Variables
	ivscan.args = ky.parse_arguments()
	parse arguments
	ivscan.outfiletagname = ky.build_tagname(args)
	output file run tag
	ivscan.starttime = time.time()
	start
dict	ivscan.Vbd_refV = {'SENSL' : 24.5 , 'BCOM' : 26.9 , 'FBK' : 32.0 }
	Vbd reference values from datasheet.
dict	ivscan.Vbd_refT = {'SENSL' : 21.0 , 'BCOM' : 25.0 , 'FBK' : 24.0 }
dict	ivscan.Vbd_coef = {'SENSL' : 0.021 , 'BCOM' : 0.025 , 'FBK' : 0.035 }
dict	ivscan.NaverT = {293 : 1 , 283 : 1 , 273 : 2 , 263 : 2 , 253 : 4 , 243 : 4}
	temperature dependent optimisation
dict	ivscan.Naver = NaverT[args.temperature]
dict	ivscan.refV = Vbd_refV[args.board]
	calculate expected Vbd
dict	ivscan.refT = Vbd_refT[args.board]
dict	ivscan.coef = Vbd_coef[args.board]
dict	ivscan.Vbd = refV + coef * (args.temperature - 273 - refT)
	ivscan.fig
	add time tag timenow = datetime.datetime.now() timetag = timenow.strftime('YmdHMS') outfiletagname += '.
	ivscan.ax
	add time tag timenow = datetime.datetime.now() timetag = timenow.strftime('YmdHMS') outfiletagname += '.
	ivscan.figsize
dict	ivscan.Vmin = Vbd - 2.
	connect and initialize
dict	ivscan.Vmax = Vbd + 15.
float	ivscan.Vstep = 0.200
	ivscan.Vscan = np.arange(Vmin, Vmax, Vstep)
	configure source, measure and trigger model
list	ivscan.Vsmart = [Vbd, Vbd + 5.]
	ivscan.Ilim
	ivscan.reverse
	ivscan.True
	ivscan.Twait
	ivscan.Tstep
	ivscan.Tmeas
	ivscan.Nmeas
	ivscan.measurements = ky.read_measurements()
	start trigger model and wait
	ivscan.invertX
	plot measurements
	ivscan.invertY
	ivscan.endtime = time.time()
	write measurements