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Introducing Einstein Probe, Astro Flavored Markdown, and Notices Schema v4.0.0. See news and announcements
gcnnoticesicecubelvk_nu_track_search

IceCube LVK Alert Nu Track Search

IceCube LVK Coincident Neutrino Track Search

View the source on GitHub

Properties

* = required

NameTypeDescription
pval_genericnumber | nullP-value from generic transient search; consistency with background expectations [0-1]
pval_bayesiannumber | nullP-value from LLAMA Bayesian search; consistency with background expectations [0-1]
n_events_coincidentnumberNumber of IceCube events in spatial and temporal coincidence with the GW map
coincident_eventsarrayAn array of summary of information for each coincident neutrino track event
most_probable_directionLocalization.schema.jsonMost likely source direction based on all coincident events and GW localizations
neutrino_flux_sensitivity_rangefluxlimitsTime integrated flux sensitivity ranges assuming an E^-2 spectrum (E^2 dN/dE) within the GW map localization

Properties from all of the following:

These properties are inherited using the allOf syntax. In order to validate, all of the following schemas must be individually valid, based on their respective properties. See allOf for more information.

NameDescription
Alert.schema.jsoncore schema object (click to expand)
FollowUp.schema.jsoncore schema object (click to expand)
AdditionalInfo.schema.jsoncore schema object (click to expand)
Reporter.schema.jsoncore schema object (click to expand)
DateTime.schema.jsoncore schema object (click to expand)

Locally defined sub-schemas

These sub-schemas are defined locally within the same .schema.json file as the current schema definition.

NameTypeDescription
fluxlimitsobject
coinceventobject

Example

{
  "$schema": "https://gcn.nasa.gov/schema/v4.0.0/gcn/notices/icecube/lvk_nu_track_search.schema.json",
  "type": "IceCube LVK Alert Nu Track Search",
  "reference": {
    "gcn.notices.LVK.alert": "S230914ak-2-Preliminary"
  },
  "ref_ID": "S230914ak",
  "alert_datetime": "2023-09-14T11:49:16.526Z",
  "trigger_time": "2023-09-14T11:14:01Z",
  "observation_start": "2023-09-14T11:05:41.000Z",
  "observation_stop": "2023-09-14T11:22:21.000Z",
  "observation_livetime": 1000,
  "pval_generic": 0.0191,
  "pval_bayesian": 0.0549,
  "n_events_coincident": 2,
  "coincident_events": [
    {
      "event_dt": 12.91,
      "localization": {
        "ra": 17.48,
        "dec": 16.15,
        "ra_dec_error": 0.5,
        "containment_probability": 0.9,
        "systematic_included": false
      },
      "event_pval_generic": 0.0191,
      "event_pval_bayesian": null
    },
    {
      "event_dt": 222.46,
      "localization": {
        "ra": 13.82,
        "dec": 18.66,
        "ra_dec_error": 0.5,
        "containment_probability": 0.9,
        "systematic_included": false
      },
      "event_pval_generic": 0.0928,
      "event_pval_bayesian": 0.0656
    }
  ],
  "most_probable_direction": {
    "ra": 17.49,
    "dec": 16.18
  },
  "neutrino_flux_sensitivity_range": {
    "flux_sensitivity": [
      0.0277,
      0.647
    ],
    "sensitive_energy_range": [
      542,
      23000000
    ]
  }
}
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