Create procedure for creating the `xmm_real_dataset`

SamSweere / xmm-epicpn-simulator

Simulation code for XMM-Newton EPIC-pn data using SIXTE and SIMPUT, designed to create training data for deep learning based super-resolution and de-noising.

https://academic.oup.com/mnras/article/517/3/4054/6694110

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Create procedure for creating the `xmm_real_dataset` #27

Open bojobo opened 1 year ago

bojobo commented 1 year ago

[ ] Using XMM SA Search get all observation ids of public observations
[ ] Let the user decide what energy band he wants to use. (See Specifications for Individual SSC Data Products, especially chapter 6.5.2.1)
[ ] Let the user decide what the minimum exposure time is
[ ] Download the .FTZ files
[ ] Apply filtering as described in Sam's thesis
[ ] Let the user choose from the following instruments: EPN, EMOS1, EMOS2, EPN & EMOS1 & EMOS2
[ ] Check how we could combine images from the different EPIC-PN sensors
[ ] Create detector masks

SamSweere commented 1 year ago

Sounds good, note that the https://github.com/SamSweere/xmm-epicpn-simulator project already contains code to create the current xmm_real_dataset. However, this is only for the EPIC-PN sensor. Regarding the other sensors, different filtering methods probably need to be applied. Having the other sensors as an option could be very interesting!

bojobo commented 1 year ago

Oh, I didn't see that. Could you give me a link to the file where the xmm_real_dataset is created? I'll probably move this issue and SamSweere/xmm-superres-denoise#16 into the xmm-epicpn-simulator repo.