IceCube LVK Alert Nu Track Search
IceCube LVK Coincident Neutrino Track Search
Properties
* = required
Name | Type | Description |
---|---|---|
pval_generic | number | null | P-value from generic transient search; consistency with background expectations [0-1] |
pval_bayesian | number | null | P-value from LLAMA Bayesian search; consistency with background expectations [0-1] |
n_events_coincident | number | Number of IceCube events in spatial and temporal coincidence with the GW map |
coincident_events | array | An array of summary of information for each coincident neutrino track event |
most_probable_direction | Localization.schema.json | Most likely source direction based on all coincident events and GW localizations |
neutrino_flux_sensitivity_range | fluxlimits | Time 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.
Name | Description | |
---|---|---|
Alert.schema.json | core schema object (click to expand) | |
FollowUp.schema.json | core schema object (click to expand) | |
AdditionalInfo.schema.json | core schema object (click to expand) | |
Reporter.schema.json | core schema object (click to expand) | |
DateTime.schema.json | core 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.
Name | Type | Description |
---|---|---|
fluxlimits | object | |
coincevent | object |
Example
{
"$schema": "https://gcn.nasa.gov/schema/v4.2.0/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
},
"id": [
"138590_39138551"
],
"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
},
"id": [
"138590_39164579"
],
"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
]
}
}