File:GOES-16 X-ray flux (1-minute data) on 2023-12-14 with flares labeled.svg
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Size of this PNG preview of this SVG file: 576 × 432 pixels. Other resolutions: 320 × 240 pixels | 640 × 480 pixels | 1,024 × 768 pixels | 1,280 × 960 pixels | 2,560 × 1,920 pixels.
Original file (SVG file, nominally 576 × 432 pixels, file size: 97 KB)
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")
|
_on_2023-12-14_with_flares_labeled.svg){kind=link}
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.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 07:35, 31 December 2023 | | 576 × 432 (97 KB) | wikimediacommons>CoronalMassAffection | Uploaded own work with UploadWizard |
File usage
The following page uses this file:
_on_2023-12-14_with_flares_labeled.svg){kind=link}