pgabor's blog

After a great summer I would like to share with you what I worked on. 😊 But before that I would like to thank everyone who made that possible. Thank you Shane that you was my mentor this summer and guided me through every problem. I definitely learnt a lot and it was fun. 😃 Thanks for the SunPy community taking me in, and for their every help and I also want to thank ESA and Maxime Perrotin who organized this great program! And now, we can check out the results! 😉 You can find the documentation in the project wiki   and the theoretical background in my previous posts. Now I want to concentrate on the actual usage of the library in case of an actual problem from A-Z. Lets say that we have a fits file with several RHESSI visibilities and we would like to process it. First we would like to get the xrayvision module (I assuming that SunPy is already installed). To get the module we have to check it out from GitHub: git clone https://github.com/sunpy/xrayvision.git Aft...

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: Transform Visibility Transform '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: Converting an intensity map into visibility values with 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 t...

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!

I am pleased to inform you  this summer I am going to work on as part of SOCIS 2017 to create a synthesis imaging library for SunPy. It will make it possible to create interpretable maps in cases when the base lines are not following a regular pattern. This will be the main focus of the library. You can find more details about the topic in this article . The upper link contains the reference for the first algorithm (CLEAN) what I am going to implement. Currently I am playing around with the little aspects of this task and I try to come up with a good concept how to actually implement it. I spend most of my time reading about the background. 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! :D