3 - Introduction to difmap - Part 3 [ID:41268]
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and there you also see as in the V-plot there is now lines that we haven't seen

before the lines are now here in purple and these lines are also the model so

you see that the model is following the trend of the data points pretty well

except for here maybe the model is a bit higher and you see there is a lot of

data points that are scattering very high above and you know that they are

not correct so you can flag them as well as you did before but here in the RUD

plot they are not appeared they don't appear afterwards in purple because

purple is the model you don't see them anymore so they disappear so here you

cannot unflag them as easily as you could in the V-plot but you can go back

in the V-plot if you flag stuff here and unflag them there that's possible yeah

but like removing a few data points which are at the bottom of the scattering

and at the top of the scattering that's fine that you can do so after we have

successfully flagged the weird data with our first model we want to make a safe

point so type save and well you can say for example like model one and then

confirm and then diff map will create a safe point with which you can get back

to this very point where you are right now so anything so if you mess up

something in the process afterwards you can always load to that safe point so

let's say I go to the RUD plot again and now I don't know I start flagging here

and there and everywhere and data is missing afterwards by the way you can

also flag fields of data with C so C as Caesar then you can drag a window and

anything in the window will get flagged if you confirm so for example here boom

like all of the data points are gone obviously I did something bad so I don't

want to work with that data set anymore because I flagged too much stuff so I

want to get back to my safe point where I know everything was fine and loading

that safe point you can go in this map and just type the at symbol as with the

emails and then we called it model one and then you see when you type model one

and press the tab screen then the screen sorry key and you see there is multiple

well data products in there the data products are the fits is a fits image of

your best model the mod is a text file with your models where you can look up

every model component with how much flux it is attributed where it is located and

stuff like that model one par is the safe well also a text file with the

parameters that you have used so far model one dot UV fits is your UV fits

file where your data is saved so after you did some self calibration and change

data or your flag data this is saved the it's file and model one when are the

windows so in case you have defined any windows as we did as you remember in the

center where we want to search for clean components they are stored in this

win file so to load our safe point we need the parameter file so we type in

par confirm and then let's have a look at the rough plot and then we see

everything's fine again so no problem whatsoever so from here on what we want

to do first is a command which is called G scale true and what this command does

is it changes the gains on individual stations so what can happen is that one

station is sending higher values than other stations and the G scale command

identifies that and corrects these overall gains so therefore you see is

1.01 so there is a amplitude correction for the station and L with the factor 1.01

and this is being done for each frequency channel and but you see they

are very close to one which means we have a pretty well calibrated data set

already there is no need to change too much so changes by up to 2% is nothing

to really worry about also if you have a look at rough plot afterwards you won't

see a difference it looks pretty much the same so from here on we want to

remove our whole data our whole of the data the model and start all over again

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00:14:36 Min

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2022-04-05

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2022-04-05 13:06:12

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