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Participants:
Ian Heywood
Rohit Sharma
Robert Kincaid
Victoria Samboco
Today we discussed about the following subjects:
The L-band data that present fringes in the field, that characterise observation of small sources in longer baselines. Professor Ian having said that this fringes are probably caused by the sun, which makes the data interesting for our purposes. This can in my opinion be supported considering that the observation was made in a period when the sun was very active.
The DD calibration are no longer necessary because we already have good calibration enough for our purposes. The DD cal in this case was kind like Suppressing the sun's flow, making the image appear faint, probably caused by the time interval (this can be investigated in the meantime if necessary).
Presentation of Sun Images where the scans contain 24s each (that can help to capture the exact moment of the flares in observations, for what Rohit needs). We are still trying to see how to automate the split step the way to do the split by time for each scan separately instead of spitting the whole Ms (giving us the possibility to use only the good scans, in case of observations that go until the night time, when the sun has already set).
Rohit introduced himself and talked about what he has been doing and what his goals are with solarkat. He also had the opportunity to have a discussion about what can be done with the images generated by the solarkat project for his work.
5.What we have now:
5.1. A script that split the MS by scans
5.2. split a scan (or any MS) by time
5.3. Compute the RA and Declination and change the phase centre for each scan in an automated way and them;
5.4. image the scans given a list of scans (using glob).
Next steps
Automatise the sun imaging workflow in Stimela.
The text was updated successfully, but these errors were encountered:
Participants:
Ian Heywood
Rohit Sharma
Robert Kincaid
Victoria Samboco
Today we discussed about the following subjects:
The L-band data that present fringes in the field, that characterise observation of small sources in longer baselines. Professor
Ian
having said that this fringes are probably caused by the sun, which makes the data interesting for our purposes. This can in my opinion be supported considering that the observation was made in a period when the sun was very active.The DD calibration are no longer necessary because we already have good calibration enough for our purposes. The DD cal in this case was kind like Suppressing the sun's flow, making the image appear faint, probably caused by the time interval (this can be investigated in the meantime if necessary).
Presentation of Sun Images where the scans contain 24s each (that can help to capture the exact moment of the flares in observations, for what
Rohit
needs). We are still trying to see how to automate the split step the way to do the split by time for each scan separately instead of spitting the whole Ms (giving us the possibility to use only the good scans, in case of observations that go until the night time, when the sun has already set).Rohit introduced himself and talked about what he has been doing and what his goals are with solarkat. He also had the opportunity to have a discussion about what can be done with the images generated by the solarkat project for his work.
5.
What we have now:
5.1. A script that split the MS by scans
5.2. split a scan (or any MS) by time
5.3. Compute the RA and Declination and change the phase centre for each scan in an automated way and them;
5.4. image the scans given a list of scans (using glob).
Next steps
Automatise the sun imaging workflow in Stimela.
The text was updated successfully, but these errors were encountered: