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Quickly plot impacting asteroid groundtrack
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""" | |
Dependencies: | |
find_orb (specifically the non-gui 'fo'): https://www.projectpluto.com/find_orb.htm | |
pip install pandas plotly | |
$ grab_mpc obs.txt 2023 CX1 | |
# -E 8 includes ground track latlon+alt | |
# only with -e generates combined.json i think | |
$ ./fo obs.txt -e astroeph.json -E 8 "EPHEM_START=2023 Feb 13 02:55" EPHEM_STEPS=600 EPHEM_STEP_SIZE=1s | |
""" | |
import json | |
import pandas as pd | |
import plotly.express as px | |
with open("/home/test/find_orb/find_orb/combined.json") as f: | |
j = json.loads(f.read()) | |
ephemerides = list(j["objects"]["2023 CX1"]["ephemeris"]["entries"].values()) | |
lons = [] | |
lats = [] | |
alts = [] | |
ts = [] | |
hover_names = [] | |
for i, eph in enumerate(ephemerides): | |
t = eph["ISO_time"] | |
lon = eph["lon"] | |
lat = eph["lat"] | |
alt = eph["alt(km)"] | |
if alt < -10: | |
break | |
# ra, dec more accurate? | |
print(t, lon, lat, alt) | |
lons.append(lon) | |
lats.append(lat) | |
alts.append(alt) | |
ts.append(t) | |
hover_names.append(f"{t} {alt}km") | |
df = pd.DataFrame({"lats":lats, "lons":lons, "alts":alts, "hover_name": hover_names}) | |
fig = px.scatter_mapbox(df, lat="lats", lon="lons", hover_name="hover_name", mapbox_style="carto-positron") | |
fig.show() |
Author
void4
commented
May 23, 2023
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