# how much information shall be logged
import logging
loggingLevel = logging.INFO
loggingFilename = "easyleed.log"

import numpy as np

#### IO related ####
####################

# regular expression to extract energy from filename (only used for fits files)
# match between two and three decimal numbers, then lookaround 
IO_energyRegex = "\d{2,3}(?=\.)"

####################
####################

#### GUI related ####
#####################

## GraphicsScene ##
# default radius of a new spot
GraphicsScene_defaultRadius = 10

## QGraphicsSpotView ##
# change in radius of the spot per key press (+/-) in pixel
QGraphicsSpotView_spotSizeChange = 1
# change in position per key press (Arrow keys)
QGraphicsSpotView_bigMove = 1
# change in position per key press if Ctrl pressed
QGraphicsSpotView_smallMove = 0.1

######################
######################

#### Tracking related ####
##########################

# precision of the user input (standard deviation in pixel)
Tracking_inputPrecision = 10
# scale the integration window with changing energy
Tracking_windowScalingOn = True
# minimum radius of the integration window (in pixel)
Tracking_minWindowSize = 0
# function for spot identification
Tracking_guessFunc = "guess_from_Gaussian"
# Kalman tracker process noise
Tracking_processNoise = np.diag([4e-2, 4e-2, 0, 0])
# size of validation region
# Ideal assumptions D_M^2 ~ Chi^2 with two degrees of freedom
# cdf Chi^2 with two degrees of freedom is 1 - exp(-x/2)
Tracking_gamma = 8
# Minimal coefficient of determination R^2 for fit
Tracking_minRsq = 0.8

##########################
##########################

#### Processing related ####
############################

# substract the background from the intensity measurements
Processing_backgroundSubstractionOn = True