KAGRA Logbook

Reports 1-1 of 1

DetChar (General)

hirotaka.yuzurihara - 23:36 Thursday 28 September 2023 (26956)

Pastavi update : Added option for SVG format and numpy binary including all the noise budget data

I added several features on Pastavi, based on the comments from commissioners.

I added an option to generate a plot in the SVG forma [image]. You can download the generated plot in SVG format from the link [image].
- The function to make SVG plot is copied from the aligoNB repo and modified to fit the Pastavi code.
- It takes ~10 seconds to make the SVG plot. So, to relieve stress, I put the option check box.
I added the numpy binary file including all the noise budget data [image]. I summarized how to read the noise budget data from the numpy file, in [JGWdoc].
- This data is the noise budget for O4a generated by Komori-san.
I added a link to all the uploaded xml files [image].

Images attached to this report

26956_1695882097_SS 2023-09-28 15.21.04.png

26956_1695882101_SS 2023-09-28 15.21.21.png

26956_1695911724_SS 2023-09-28 23.34.36.png

Comments to this report:

hirotaka.yuzurihara - 17:31 Monday 02 October 2023 (27020)

The proceduced noise budget data didn't have same frequency band, though the frequency resolution is same (0.1 Hz). Some data have 1~500 Hz data. The other data have 0.1~7000 Hz data. So, I updated the jupyter notebook to fill in missing data with zeroes in frequency domain. I think it will be easier to modify the noise budget manually, like Elenna-san's example (klog#26848).

From Komori-san, I heard the information of pyGWINC for KAGRA (JGWdoc) developped by Haino-san in 2019. This codes were written in python2. To integrate this to the jupyter notebook (python3), it requires a bit of hard work.