Caius' Notes

EOVSA flare spectrograms

Checking the possible EOVSA

Verify the possible flares on the daily EOVSA Solar Dynamic Spectrogram, for example:

http://ovsa.njit.edu/browser/?suntoday_date=2024-05-07

In this example, we are going to analyze the M8.2 flare that happened after 16:00 UT.

For a better flare time precision, a Dynamic spectrogram with short time range at:

http://ovsa.njit.edu/flaremon/

Since 2024-May-05, the Real Time Flare detection figure and its list are also available:

http://ovsa.njit.edu/flaremon/FLM20240507.png http://ovsa.njit.edu/flaremon/flarelist/flarelist_2024-05-07.txt

Using Python 3.8

Login into pipeline machine as user:

ssh -X user@pipeline 

Verify the antennas that were working at the day, e.g. more /dppdata1/TPCAL/LOG/TPCyyyymmdd.log

Create the flare directory at /data1/dgary/solar/, e.g:

mkdir 20240507_M8flare 
cd 20240507_M8flare

Load the Python 3.8 environment:

bash 
loadpyenv3.8
ipython --pylab

In Python, enter the following:

from eovsapy import flare_spec as fs 
from eovsapy.util import Time 

To download the IDB directories form the SQL cloud, enter the flare interval as:

files = fs.calIDB(Time(['2024-05-07 16:20','2024-05-07 16:35'])) 

If the IDB already exist, they can be read as:

files = ['IDB20240507162024','IDB20240507163024'] 

When all the antennas were fine, enter the following:

out, spec = fs.inspect(files) 

But, if one or more antennas weren't working, enter the list of the good ones as:

 out, spec = fs.inspect(files, ant_str='ant1-6 ant8-9 ant11-13') 

To better see the flare, you can change the spec vmax as:

 imshow(spec,vmax=30,vmin=-1) 

Use the figure above to choose the background interval (bgidx), the maximum intensity and the frequencies. The tpk is defined as the name of the resulting files (.png and .fits):

 f, ax0, ax1 = fs.make_plot(out,bgidx=[200,220],vmin=0.1, vmax=110, lcfreqs=[120,190,270,350],ant_str='ant1-6 ant8-9 ant11-13', tpk='2024-05-07 16:30:00')