Table information for 'solar_nenufar_ml.spikenet_predictions'

General

Table Description: TFCat of output predictions from SpikeNET Murphy et al. in prep

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

Resource Description: Outputs from machine learning algorithm locating solar radio bursts in NenuFAR (https://nenufar.obs-nancay.fr) dynamic spectra.

For a list of all services and tables belonging to this table's resource, see Information on resource 'Solar NenuFAR Machine Learning Predictions'

Citing this table

This table has an associated publication. If you use data from it, it may be appropriate to reference pre9.confTBD either in addition to or instead of the service reference.

To cite the table as such, we suggest the following BibTeX entry:

@MISC{vo:solar_nenufar_ml,
  year=2023,
  title={Solar {NenuFAR} Machine Learning Predictions},
  author={Murphy, P.C},
  url={http://vogate.obs-nancay.fr/tableinfo/solar_nenufar_ml.spikenet_predictions},
  howpublished={{VO} resource provided by the {CDN} VO Server}
}

Columns

Sorted by DB column index. [Sort alphabetically]

NameTable Head DescriptionUnitUCD
id Id Main identifier of this feature N/A meta.id;meta.main
time_start Time_start Minimum time value of feature bounding box N/A time.epoch;stat.min
time_end Time_end Maximum time value of feature bounding box N/A time.epoch;stat.max
freq_min Freq_min Minimum frequency value of feature bounding box MHz em.freq;stat.min;em.radio
freq_max Freq_max Maximum frequency value of feature bounding box MHz em.freq;stat.max;em.radio
geometry_type Geometry_type Type of Geometry N/A meta.code
geometry Geometry Type of Geometry N/A meta.code
feature_name Feature_name Radio Source type N/A meta.code.class;src

Columns that are parts of indices are marked like this.

VOResource

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