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DavidT3 / DAXA

Democratising Archival X-ray Astronomy (DAXA) is an easy-to-use Python module for downloading multi-mission X-ray telescope data and processing it into usable archives. Users can acquire entire archives, or filter observations based on ID/positions/time. Supports XMM; partial support eROSITA, Chandra, NuSTAR, Swift, Suzaku, ASCA, ROSAT, INTEGRAL
BSD 3-Clause "New" or "Revised" License
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Add ROSAT (particularly RASS) support #175

Closed DavidT3 closed 1 year ago

DavidT3 commented 1 year ago

This is motivated primarily by a desire to use RASS observations to help inform my background for LoVoCCS analysis (and more to the point to make it very easy to do so), but will also be useful in other ways I'm sure.

Should be pretty trivial as the data are on HEASArc and there are master tables which follow the pattern of the NuSTAR and Chandra ones I've already implemented.

Two ROSAT mission classes will be created, one for the all sky survey (https://heasarc.gsfc.nasa.gov/W3Browse/rosat/rassmaster.html), and one for pointed mode observations (https://heasarc.gsfc.nasa.gov/W3Browse/rosat/rosmaster.html). I expect them to be functionally very similar (if not almost identical), but I'm making the distinction in the same way I've made the distinction between XMM pointed and slew observations. Also the pointed observations can have different instruments (HRI or PSPC), whereas RASS only used PSPC.

DavidT3 commented 1 year ago

Actually remembered this issue was for all ROSAT, and I've only added RASS so far.

DavidT3 commented 1 year ago

Mission classes are implemented for ROSAT all-sky and the pointing phase, data can be filtered and downloaded. I have opened another issue (#186) about allowing the download of images/exposure maps, but that will be a different branch.

No processing is yet implemented, because I'm confused about the availability of software, and what has actually been done to the data I'm downloading, hopefully HEASArc people will be able to answer those questions.