Table information for 'VOccDB.epn_core'

General

This table is available for ADQL queries and through the TAP endpoint.

Resource Description: The VOccDB database provides prediction and parameters of stellar occultations by the main planetary satellites. Observations of a stellar occultations help to better determine the size and the shape of the occulting body, as well as its astrometric position at the milli-arcsecond level precision. Only the main moons of giant planets Jupiter, Saturn, Uranus and Neptune are considered in the event prediction database. Predictions are provided over period 2023-2032, up to visual magnitude 12 for the biggest satellites, and magnitude 14 for other satellites. For each stellar occultation event prediction, the database provides circumstances and observational data, date and timing of the occultation, star position and magnitude, excepted duration, etc.

For a list of all services and tables belonging to this table's resource, see Information on resource 'Predictions of stellar occultations by the main planetary satellites'

Citing this table

@MISC{vo:VOccDB_epn_core,
  year=2024,
  title={Predictions of stellar occultations by the main planetary satellites},
  author={Josselin Desmars and {PADC}},
  url={http://voparis-tap-sandbox.obspm.fr/tableinfo/VOccDB.epn_core},
  howpublished={{VO} resource provided by the {PADC} {TAP} Server on voparis-tap-sandbox.obspm.fr}
}

Columns

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Columns that are parts of indices are marked like this.

VOResource

VO nerds may sometimes need VOResource XML for this table.

Notes

• Note et_prod

  The following values are defined for this field:

  im -- image

  associated scalar fields with two spatial axes, e.g., images with multiple color planes like from multichannel or filter cameras. Preview images (e.g. map with axis and caption) also belong here. Conversely, all vectorial 2D fields are described as catalogue (see below).

  ma -- map

  scalar field/rasters with two spatial axes covering a large area and projected either on the sky or on a planetary body, associated to a Projection parameter (with a short enumerated list of possible values). This is mostly intended to identify complete coverages that can be used as reference basemaps.

  sp-- spectrum

  measurements organized primarily along a spectral axis, e.g., radiance spectra. This includes spectral aggregates (series of related spectra with non-connected spectral ranges, e.g., from several channels of the same instrument

  ds -- dynamic spectrum

  consecutive spectral measurements through time, organized as a time series. This typically implies successive spectra of the same target or field of view.

  sc -- spectral cube

  sets of spectral measurements with 1 or 2 D spatial coverage, e.g., imaging spectroscopy. The choice between Image and spectral_cube is related to the characteristics of the instrument (which dimension is most resolved and which dimensions are acquired simultaneously). The choice between dynamic_spectrum and spectral_cube is related to the uniformity of the field of view.

  pr -- profile

  scalar or vectorial measurements along 1 spatial dimension, e.g., atmospheric profiles, atmospheric paths, sub-surface profiles, traverses…

  pf -- photometric profile

  scalar or vectorial measurements along 1 angular dimension, e.g., phase or polarization curves, phase functions, emission-phase function sequences… typically associated to variations in illumination angle parameters.

  vo -- volume

  other measurements with 3 spatial dimensions, e.g., internal or atmospheric structures, including shells/shape models (3D surfaces).

  mo -- movie

  sets of chronological 2 D spatial measurements.

  cu -- cube

  multidimensional data with 3 or more axes, e.g., all that is not described by other 3 D data types such as spectral cubes or volume. This is mostly intended to accommodate unusual data with multiple dimensions.

  ts -- time series

  measurements organized primarily as a function of time (with exception of dynamical spectra and movies, i.e. usually a scalar quantity). Typical examples of time series include space-borne dust detector measurements, daily or seasonal curves measured at a given location (e.g., a lander), and light curves.

  ca -- catalog

  applies to a single granule providing a list of events, a catalog of object parameters, a list of features… It is good practice to describe the type of data included in the catalogue using a hash-separated-list (e.g., a table of spectra should be described by ca#sp, so that it will respond to a query for spectra).

  ci -- catalogue item

  applies when the service itself provides a catalogue, with entries described as individual granules. The service can be, e.g., a list of asteroid properties or spectral lines. Catalogue_item can be limited to scalar quantities (including strings), and possibly to a single element. This organization allows the user to search inside the catalogue from the TAP query interface.

  sv -- spatial vector

  vector information associated to localization, such as spatial footprints or a GIS-related element. This could contain a kml or geojson file (STC-S strings are provided though the s_region parameter, though). This includes maps of vectors, e.g., wind maps.

  ev -- event

  individual events, typically formatted in VOEvent. Characteristics are provided via the event_* parameters.

• Note et_cal

  CODMAC levels are:

  1 -- raw

  2 -- edited

  3 -- calibrated

  4 -- resampled

  5 -- derived

  6 -- ancillary