TODO: HSJ Event Selection - Githubissues

KCollins / magplots

A python library to pull data and make plots from ground magnetometers. Emphasis on plots for comparing magnetometers at conjugate points.

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TODO: HSJ Event Selection #35

Open KCollins opened 2 months ago

KCollins commented 2 months ago

(Note: This is a todo item for my postdoc work, not an actual issue in magplots.)

Examine biggest dynamic pressure values in dataset; try these and see if I get a negative result.

[X] Export table of selected events using df.to_markdown() and put it here to make it easier to keep track.

Max	Jet Number	Ref Spacecraft	Start	End	SM_LAT	SM_LON	SM_X	SM_Y	SM_Z	GEO_X_1	GEO_Y_1	GEO_Z_1	DIST_FROM_P93_BOW_SHOCK	DIST_FROM_MAGNETOPAUSE	DIST_FROM_T95_NS	L_VALUE	INVAR_LAT	MAGNETIC_STRENGTH	Dynamic Pressure (nPa)	Electron density	Vx	Vy	Vz	Count
2015-04-05 19:14:46	261	A	2015-04-05 19:14:39	2015-04-05 19:15:09	20.9746	15.3663	9.29268	2.55375	3.69447	-0.480458	-10.097	2.08439	-4.27286	-0.623951	-1e+31	11.8379	73.1034	59.5534	3.85989	31.3699	-199.561	321.878	62.681	0
2018-09-02 07:43:18	238	A	2018-09-02 07:43:14	2018-09-02 07:44:02	-3.46162	10.9974	11.128	2.16252	-0.685727	2.85547	10.9546	0.906536	-3.12188	0.414341	-1e+31	11.3984	72.7708	-1e+31	32.9766	0.0657097	5.40439	0.108232	13.4919	0
2016-06-13 03:19:36	661	D	2016-06-13 03:19:31	2016-06-13 03:19:46	-8.55624	11.2021	10.4521	2.06996	-1.6031	-8.20325	6.98586	-0.0699006	-4.02601	-0.189972	-1e+31	11.0189	72.4671	55.5471	5.16873	29.4192	-60.8748	60.4734	-27.3761	0
2018-08-26 20:01:40	197	D	2018-08-26 20:01:33	2018-08-26 20:02:12	13.4793	24.6768	10.4923	4.82078	2.76773	-1.32867	-11.7568	1.00068	-3.06219	0.903307	-1e+31	12.5561	73.6078	-1e+31	5.85335	26.7709	-49.3608	-356.737	363.529	0

KCollins commented 1 month ago

Jets 295 and 238 have the highest dynamic pressure in the set.

295 is measured by THEMIS E, right as it exits the magnetosheath and goes into the solar wind, so that's probably not a good test case.
238 is measured by THEMIS A and looks like a good candidate for the symmetric case.

After that we look for asymmetric cases:
- 197 (northern, THEMIS D) may be promising but it looks like there might be a data gap (?)
- 261 (northern) might be a good candidate
- 661 (southern, THEMIS D) might be a good candidate

KCollins commented 1 month ago

SuperMAG polar plots: https://supermag.jhuapl.edu/rBrowse/?fidelity=low&start=2015-04-05T19%3A24%3A00.000Z&step=60 Can use for quicklook plots at ground magnetometers. For events of interest, should expect to see the Greenland sector light up. (Other sectors might light up if there's other activity going on.) By default, the scale is fixed for the magnetometer vectors, but it may be useful to adjust that for the weaker jets.

KCollins commented 1 month ago

Jet 238: Looks good! This was in September, though, so we don't have much Antarctic data. Could still use for a case study. Might want to compare with other Antarctic magnetometers via SuperMAG. Maybe it's a TCV?

Jet 661: Large and rapid dip in Bx appears across all mags - rapid dv/dt, relevant for GICs/geoelectric fields and probably worth reporting. We do have some waves, hard to say for sure what is caused by the jet or not.

KCollins commented 1 month ago

[ ] Generate survey plots for each event listed here
[ ] Generate SuperMAG survey plots for each event, save for comparison
[ ] Pull plots from https://themis.ssl.berkeley.edu/data/themis/thg/l2/mag/secs/ (sub or complement to SuperMAG plots)
[ ] Generate THEMIS survey plot as in Issue #26
[ ] Stick all in PowerPoint, review in next meeting

KCollins commented 1 month ago

Jet 197 is in August, so it probably doesn't have data.

KCollins commented 1 month ago

Quicklook plot for The Big Dip after Jet 661: https://vmo.igpp.ucla.edu/data1/SECS/Southernquicklook/2016/06/13/SouthEIC20160613_033300.jpg