TD map¶

This is a powerful analysis tool to draw the time-distance map for an arbitrary slit that the user selects. To properly use this module, you should change the matplotlib backend to one of the interactive backends. Then input the 3D cube. The first array of this cube data should be the time. For example, I'm going to show the example with the aligned cube data. Note that this aligned cube can more simply draw this tdmap figure using the 'imshow' method of the read.AlignCube.

In [ ]:

import fisspy
import numpy as np
import matplotlib.pyplot as plt

fac = r'D:\Data\140603\140603_alosv_A.npz'
ac = fisspy.read.AlignCube(fac)
mtd = fisspy.analysis.makeTDmap(ac.data, dx=0.16*725, dy=0.16*725, dt=20, cmap=plt.cm.RdBu_r)

No description has been provided for this image

The below table shows the interactive key for makeTDmap.

Keys	Description
right	Next frame.
left	Previous frame.
spacebar	Mark the slit position.
c	Calculate TD map for marked points. # of markers=2: linear slit. # of markers=3: circular arc. #of markers>3: arbitrary slit.
escape	remove the previous marked point.
ctrl/cmd+h	Show help box.

If you draw the TD map by pressing 'c' key. You can handle the TD map data. Using the below interactive key for analysisTDmap.

Keys	Description
right	Next frame.
left	Previous frame.
down	Increase the slit position.
up	Decrease the slit position.
spacebar on main axis	Mark the current position to calculate the velocity.
spacebar on time-series axis	Mark the current position to measure the period.
spacebar on distance-series axis	Mark the current position to measure the wavelength.
c on main axis	Calculate velocity of the ridge
v on main axis	Calculate velocity between two points
c or v on time-series axis	Measure the period
c or v on distance-series axis	Measure the wavelength
escape	Remove one marked point
cmd/ctrl+r	Clear all marked points.
m	Show the image for the current mouse point.
ctrl/cmd+g	Show and hide the grid lines.
ctrl/cmd+h	Show help box.