File:GOES-16 X-ray flux (1-minute data) on 2023-12-14 with flares labeled.svg
_on_2023-12-14_with_flares_labeled.svg){kind=small}
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Summary
| Description |
English: GOES-16 X-ray flux (1-minute data) on 14 December 2023 plotted. Two M-class and one X-class flares occurred on this day, and they are labeled in the plot. |
| Date | |
| Source | Own work |
| Author | Trestan F. Simon |
| SVG development | |
| Source code | Python codeimport matplotlib.pyplot as plt
from matplotlib.dates import HourLocator, DateFormatter
from sunpy import timeseries as ts
from sunpy.net import Fido
from sunpy.net import attrs as a
from sunpy.time import parse_time
import numpy as np
tr = a.Time('2023-12-14 00:00', '2023-12-15 00:00')
results = Fido.search(tr, a.Instrument.xrs & a.goes.SatelliteNumber(16) & a.Resolution("avg1m") | a.hek.FL & (a.hek.FRM.Name == 'SWPC'))
file = Fido.fetch(results)[0]
# Note: first file's data ends at 2023-12-14 23:59
goes = ts.TimeSeries(file).to_dataframe()
hek_results = results['hek']
fig, ax = plt.subplots()
fig.suptitle('GOES-16 XRS X-Ray Flux (1-minute data)')
ax.plot(goes.index, goes['xrsa'], '-', label='0.05–0.4 nm', color='#005AB5', lw=2)
ax.plot(goes.index, goes['xrsb'], '-', label='0.1–0.8 nm', color='#DC3220', lw=2)
# SXR classification on right side
labels = ['A', 'B', 'C', 'M', 'X']
centers = np.logspace(-7.6, -3.6, len(labels))
for value, label in zip(centers, labels):
ax.text(1.025, value, label,
transform=ax.get_yaxis_transform(), horizontalalignment='center', size='large', color='#DC3220')
# Label major HEK events
for flare in hek_results:
goes_cls = flare['fl_goescls']
if 'M' in goes_cls or 'X' in goes_cls:
peak_time = parse_time(flare['event_peaktime']).datetime
peak_flux = goes['xrsb'][peak_time]
# ax.axvline(peak_time, ls='-', lw=1, alpha=0.8, color='gray')
ax.annotate(goes_cls, (peak_time, peak_flux), (-3, 6), textcoords='offset points')
ax.legend(loc='upper center', bbox_to_anchor=(0.5, 1.05), ncol=2, fancybox=False, shadow=True)
ax.set_yscale("log")
ax.set_ylim(1e-9, 1e-2)
ax.set_ylabel("Watts m$^{-2}$")
ax.set_xlim(tr.start.to_datetime(), tr.end.to_datetime())
ax.grid(True, which='major', axis='y', alpha=1)
ax.grid(True, which='minor', axis='y', alpha=0.4)
ax.xaxis.set_major_locator(HourLocator(byhour=range(0, 24, 4)))
ax.xaxis.set_major_formatter(DateFormatter('%H:%M'))
ax.set_xlabel('2023 Dec 14 (UTC)')
"""
# Alternative date formatting
import matplotlib.dates as mdates
locator = mdates.AutoDateLocator(minticks=3, maxticks=11)
formatter = mdates.ConciseDateFormatter(locator)
ax.xaxis.set_major_locator(locator)
ax.xaxis.set_major_formatter(formatter)
"""
plt.savefig("GOES-16_X-Ray_Flux_2023-12-14.svg")
|
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution 4.0 International license.
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 07:35, 31 December 2023 | | 576 × 432 (97 KB) | CoronalMassAffection | Uploaded own work with UploadWizard |
File usage
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