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Added research projects using DAXA section
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Signed-off-by: David Turner <turne540@msu.edu>
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DavidT3 committed Mar 13, 2024
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---
title: 'DAXA: Democratising archival X-ray astronomy through the easy creation of multi-mission datasets'
title: 'DAXA: Democratising archival X-ray astronomy and traversing the X-ray desert'
tags:
- Python
- Astronomy
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# Existing software packages
There is no exact analogue to

# Research projects using DAXA [Daxa]{.smallcaps}

[Daxa]{.smallcaps}
There are no direct analogues to [Daxa]{.smallcaps}, though we

# Research projects using DAXA

[Daxa]{.smallcaps}'s feature-set has reached a minimum viable product level, and has been useful for several research
projects over different collaborations; we anticipate that the number of research projects benefiting from it will
increase significantly. The primary use to which [Daxa]{.smallcaps} has been put is to assemble the multi-mission
X-ray dataset (_XMM_, _Chandra_, _eROSITA_, _Swift_, and _ROSAT_) for the X-ray follow-up component of the Local Volume
Complete Cluster Survey (LoVoCCS). It was used to identify the relevant observations, download, and process them, as
well as to organise the significant number of files and make it easier for the dataset to be served to the X-ray
community. Construction and administration of such large, complicated, multi-mission datasets is rendered quick and
easy.

The X-ray Cluster Science (XCS; formerly known as the _XMM_ Cluster Survey) collaboration now uses [Daxa]{.smallcaps} to
create and manage their processed X-ray archive; particularly useful is [Daxa]{.smallcaps}'s support for telescopes
other than XMM, which has allowed the serendipitous science undertaken by XCS to expand to the use of different
telescopes. These telescopes are complementary to _XMM_, and also increase the sky coverage, which in turn increases
the likelihood that an object of interest has an accessible X-ray observation.

As [Daxa]{.smallcaps} now supports XCS, it has contributed to a research project that has measured X-ray properties
(spectral, time-series, and photometric) for every LOFAR source that falls on an _XMM_ observation (a [Daxa]{.smallcaps}
generated dataset was used for an [Xga]{.smallcaps} analysis). This kind of bulk analysis is trivial when our software
packages are utilised, and will result in a comprehensive catalogue that is invaluable to the radio astronomy community.

Finally, [Daxa]{.smallcaps} has been used to identify _XMM_ and _Chandra_ (alongside other telescopes, though they
play only a supporting role) observations of a series of galaxy groups that appear in the foreground of UV bright
quasars. Absorption features that indicate the presence of Oxygen VI were identified in the spectra of several of
the quasars, and the data that [Daxa]{.smallcaps} identified and retrieved allowed for an exploration of the hot-gas
properties of these groups.

# Future Work

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