Ugrás a fő tartalomra

Bejegyzések

Bejegyzések megjelenítése ebből a hónapból: 2017

SoCiS Status report - What is going on?

There was a big silence from my side regarding the improvements in the past month... Sorry about that, but do not worry, I am summarizing up everything below now: 😉

In the official repo you can find right now these two classes:

TransformVisibilityTransform's basic purpose to provide a DFT (Discrete Fourier Transformation) and an IDFT (Inverse Discrete Fourier Transformation) method which can be used to create visbility values from intensity maps and in the other way around.
An example for the usage of the DFT method:

You can find more information about the Transform class on the github wiki of the project.
And now about the Visibility class. During synthesis imaging the data comes from different telescopes with different distance from each other. As a result of this we can create images with the same angular resolution what we would get by using a telescope with the size of what is the distance between our two most distant telescopes. These telescopes measure the so called visibil…

SoCiS - First status report - Xrayvision

In the past two weeks I got to know to SunPy. I learned about the modules (especially about SunPy Map and Sunpy IO) which will be important this summer. Besides that I spent time with understanding some IDL codes what can be used as a model for the first implementation of the proccess.
We have our new repo here: https://github.com/sunpy/xrayvision
At the moment it is empty (besides the module template), but soon this is going to change.
The first update will be a data structure which can represent the visibilities. For more info visit the issue.
Stay tuned!

SunPy - X-ray VIsibility Synthesis ImagiNg or Xray-VISION - SoCiS 2017

I am pleased to inform you  this summer I am going to work on to create a library for SunPy which enables to create interpretable maps in cases of when the base lines for synthesis images are not following a regular pattern. This library's focus will be to compensate the effect of such cases.

You can find more details about the topic in this article.

Also the upper link contains the reference for the first algorithm (CLEAN) what I am going to implement. My current status is that playing around with little aspects of this task and I try to come up with a good concept how to actually do it. So I spend most of my time reading about it. And thinking about how to do it in a good way. :)

My little bit "more technical" proposal for this summer can be found here at github.

And at the end, I would like to thank for the SunPy community and ESA that I can participate in this program this summer. I hope my work is going to reach the expectations :)

So keep tuned, my next post will c…