@@ -13,20 +13,22 @@ What's a MOC?
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-------------
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MOC means Multi-Order Coverage. It's an `IVOA standard `_ that allows to describe
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- Space-Time coverages of arbitrary sky regions -- with or without
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- an associated time of observation.
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+ Space-Time coverages of arbitrary sky regions, with or without an associated time of
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+ observation.
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- The space component maps the sky with the HEALPix sky
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- tessellation to represent regions on the sky by hierarchically grouped HEALPix cells.
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- It other words, a Spatial MOC is a set of HEALPix cells at different orders.
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+ The space component maps the sky with the `HEALPix sky tessellation
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+ <https://arxiv.org/abs/astro-ph/9905275> `_ to represent regions on the sky
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+ by hierarchically grouped HEALPix cells. It other words, a Spatial MOC is a set of
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+ HEALPix cells at different orders.
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The idea is the same for Time MOCs. The time axis is split into time cells.
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For those wanting to know more about MOCs, please refer to `the MOC 2.0 specification
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document <https://ivoa.net/documents/MOC/20220727/REC-moc-2.0-20220727.pdf> `_.
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- MOCPy is a Python library allowing to manipulate these Space-Time Coverage objects.
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- You're welcome to have a look at `MOCPy's documentation <https://github.com/cds-astro/mocpy >`_.
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+ `MOCPy <https://github.com/cds-astro/mocpy >`_ is a Python library allowing to manipulate
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+ these Space-Time Coverage objects. You're welcome to have a look at
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+ `MOCPy's documentation <https://cds-astro.github.io/mocpy/ >`_.
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What's the MOC Server?
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----------------------
@@ -37,8 +39,8 @@ In the MOC Server, there a few tens of thousands of astronomical collections.
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They each have an identifier ``ID `` and a set of properties that describe their content.
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This is a practical way of finding datasets with criteria on time and/or space.
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- The meta- data properties are freely assigned by each publisher. You can get the list of
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- properties with their frequency of usage and examples example with
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+ The meta data properties are freely assigned by each publisher. You can get the current
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+ list of properties with their frequency of usage and examples example with
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`astroquery.mocserver.MOCServerClass.list_fields `.
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This method also accepts a string to limit the number of responses. Let's try with ``MOC ``:
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@@ -69,7 +71,8 @@ Querying with a region
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The MOCServer is optimized to return the datasets having at least one source lying in a
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specific sky region (or time interval).
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- The regions can be provided either as astropy-regions from the ``regions `` python library,
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+ The regions can be provided either as astropy-regions from the
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+ `regions <https://astropy-regions.readthedocs.io/en/stable/ >`_ python library,
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or as an accepted MOC type (`mocpy.TimeMOC `, `mocpy.MOC `, `~mocpy.STMOC `).
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The frequency MOCs are not yet available.
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@@ -205,12 +208,13 @@ their identifier. These correspond to the Hubble surveys:
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ESAVO/P/HST/WFPC --
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ESAVO/P/HST/WFPC2 --
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- Query for HiPS surveys
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- ======================
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+ Query for Hierarchical Progressive Surveys (HiPS)
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+ =================================================
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- The MOCServer contains an extensive list of HiPS, for images and catalogs. These
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- progressive surveys can be displayed in applications such as Aladin or ESASky.
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- The `astroquery.mocserver.MOCServerClass.query_hips ` method allows to find these HiPS.
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+ The MOCServer contains an extensive list of `HiPS <https://ivoa.net/documents/HiPS/ >`_,
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+ for images and catalogs. These progressive surveys can be displayed in applications
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+ such as `ipyaladin <https://github.com/cds-astro/ipyaladin >`_. The
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+ `astroquery.mocserver.MOCServerClass.query_hips ` method allows to find these HiPS.
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It accepts the same parameters (``region `` and ``meta_data `` for example) as the other
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methods. The only difference is that the output will only contain HiPS data.
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@@ -396,6 +400,3 @@ Reference/API
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.. _CDS MOCServer : http://alasky.unistra.fr/MocServer/query
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.. _IVOA standard : http://ivoa.net/documents/MOC/20140602/REC-MOC-1.0-20140602.pdf
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- .. _astropy-healpix : https://astropy-healpix.readthedocs.io/en/latest/
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- .. _regions : https://github.com/astropy/regions
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- .. _mocpy : https://github.com/cds-astro/mocpy
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