EVN Observation Planner. Helps you to plan a VLBI observation. Given a date, source coordinates, and a VLBI array, it will tell you when the source can be observed by each antenna, the reached rms noise level and resolution, among other details.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

33 lines
1.2 KiB

import numpy as np
import plotly.graph_objs as go
def time_elevation(times, elevations, ant_names, xlim=None):
data = []
for time,elev,ant in zip(times, elevations, ant_names):
data.append(go.Scatter(x=time.datetime, y=elev, mode='markers', name=ant))
layout = go.Layout(title='Source elevation vs time', showlegend=True,
xaxis={'title': 'Time (UTC)', 'range': xlim},
yaxis={'title': 'Elevation (deg)'}, hovermode='closest')
return {'data': data, 'layout': layout}
def time_visibility(times, elevations, ant_names, xlim=None):
data = []
for i,time,elev,ant in zip(np.arange(len(ant_names)), times, elevations, ant_names):
data.append(go.Scatter(x=time.datetime, y=np.zeros_like(elev).deg+i, mode='markers',
layout = go.Layout(title='Visibility of source vs time', showlegend=False,
xaxis={'title': 'Time (UTC)', 'range': xlim},
yaxis={'title': 'Antennas', 'tickmode': 'array',
'ticktext': ant_names, 'tickvals': np.arange(len(ant_names))},
return {'data': data, 'layout': layout}