tardis.visualization.tools.rpacket_plot module

class tardis.visualization.tools.rpacket_plot.RPacketPlotter(sim, no_of_packets)

Bases: object

Plotting interface for the plotting Montecarlo packets. It creates an animated plot using plotly for the trajectories of the real packets as they travel through the ejecta starting from the photosphere.

Initializes the RPacket Plotter using the simulation object generated using the run_tardis function.

Parameters:

simtardis.simulation.Simulation

simulation object generated using the run_tardis function.

no_of_packetsint

number of packets to be used for plotting.

classmethod from_simulation(sim, no_of_packets=15)

Creates an instance of RPacketPlotter from a TARDIS simulation object.

Parameters:

simtardis.simulation.Simulation

TARDIS Simulation object generated using run_tardis function.

no_of_packetsint

number of packets to be used for plotting.

Returns:

RPacketPlotter

generate_plot(theme='light')

Creates an animated plotly plot showing the Montecarlo packets’ trajectories.

Parameters:

themestr, optional

theme for the plot, by default “light”

Returns:

plotly.graph_objs._figure.Figure

plot containing the packets, photosphere and the shells.

get_coordinates_multiple_packets(r_packet_tracker)

Generates an array of array containing x and y coordinates of multiple packets

Parameters:

r_packet_trackerpandas.core.frame.DataFrame

contains the rpacket_tracker_df dataframe with data of only specified no_of_packets

Returns:

numpy.ndarray

array of array containing x coordinates, y coordinates and the interactions for multiple packets

get_coordinates_with_theta_init(r_track, mu_track, time, last_interaction_type, theta_initial=0)

Generates the coordinates of a single packet for its entire trajectory using the nu and r attributes.

Parameters:

r_trackpandas.core.series.Series

radius of packet at different steps

mu_trackpandas.core.series.Series

mu or the cosine of radial angle of the packet at different steps

timeastropy.units.quantity.Quantity

time since the occurence of explosion

last_interaction_typepandas.core.series.Series

last interaction type of the packet at different steps

theta_initialfloat, optional

intial launch angle of packet from x axis as the packet starts from the photosphere, by default 0

Returns:

list

x coordinates of the packet at different steps

list

y coordinates of the packet at different steps

list

types of interactions occuring at different points

get_equal_array_size(rpacket_x, rpacket_y, interactions)

creates the coordinate arrays of different packets of same size. This is done for generating frames in animation.

Parameters:

rpacket_xnumpy.ndarray

x coordinates of packets

rpacket_ynumpy.ndarray

y coordinates of packets

interactionsnumpy.ndarray

interaction types of packets

Returns:

numpy.ndarray

normalized x coordinate array

numpy.ndarray

normalized y coordinate array

numpy.ndarray

normalized interaction types array

int

size of the biggest array among different packets

get_frames(frame, rpacket_x, rpacket_y, interactions, theme)

Creates individual frames containing the go.Scatter objects for the animation.

Parameters:

frameint

current frame number

rpacket_xnumpy.ndarray

x coordinates array

rpacket_ynumpy.ndarray

y coordinates array

interactionsnumpy.ndarray

interactions array

themestr

theme for the plot

Returns:

list

list of go.Scatter objects for a particular frame number.

get_slider_steps(rpacket_max_array_size)

Generates different steps in the timeline slider for different frames in the animated plot.

Parameters:

rpacket_max_array_sizeint

maximum size of coordinate array among all the packets.

Returns:

list

list of dictionaries of different steps for different frames.