pygrb-lc 0.0.8

Python package for GRB analysis

pygrb_lc

Package to load and handle GRB (Gamma-ray bursts) light curves, their furie transformations and various other functions.

To install run the following command

pip install --upgrade pygrb_lc

or

pip3 install --upgrade pygrb_lc

Light curves

Main object in this package is LightCurve object and its children. Start by creating one

from pygrb_lc.light_curves import LightCurve # base class for ligth curve

lc = LightCurve()
print(lc)

It is created but empty, semplest way to provide data is by data argument, that requires numpy.ndarray with 2 (time, signal) or 4 (time, time_err, signal, signal_err) columns

import numpy as np

data = np.loadtxt('test.txt')
lc = LightCurve(data = data)
print(lc)

Base class can rebin data, subtract polynomial function, filter peaks, set intervals and load and save data to LIGHT_CURVE_SAVE folder in pickle format.

There are specific classes for INTERAL/SPI-ACS and Fermi/GBM instruments. They are able to load actual data from web, you need to specify it in loading_method parameter

from pygrb_lc.light_curves import SPI_ACS_LightCurve, GBM_LightCurve

lc1 = SPI_ACS_LightCurve('2020-01-01 00:00:00', 500, loading_method = 'web')
lc2 = GBM_LightCurve('2020-01-01 00:00:00', ['na'], duration = 500, loading_method = 'web')

Furie transformations

Furie transformation is performed by FurieTransformation class. It requires LightCurve object as an argument

from pygrb_lc.furie import FurieLightCurve

lc = LightCurve(data = np.loadtxt('test.txt'))
flc = FurieLightCurve(lc, interval_t90 = (0, 10))

flc.plot()

All classes have plot method, you can provide matplotlib.pyplot.Axes object as an argument to plot on existing plot

fig,(ax1,ax2) = plt.subplots(2,1)
lc.plot(ax = ax1)
flc.plot(ax = ax2)