graphnet.models.detector.prometheus module

Prometheus-specific Detector class(es).

class graphnet.models.detector.prometheus.ORCA150SuperDense(*args, **kwargs)[source]

Bases: Detector

Detector class for Prometheus ORCA150SuperDense.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object

geometry_table_path = '/home/runner/.local/lib/python3.10/data/geometry_tables/prometheus/orca_150.parquet'
xyz = ['sensor_pos_x', 'sensor_pos_y', 'sensor_pos_z']
string_id_column = 'sensor_string_id'
sensor_id_column = 'sensor_id'
feature_map()[source]

Map standardization functions to each dimension.

Return type:

Dict[str, Callable]

class graphnet.models.detector.prometheus.TRIDENT1211(*args, **kwargs)[source]

Bases: Detector

Detector class for Prometheus TRIDENT1211.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object

geometry_table_path = '/home/runner/.local/lib/python3.10/data/geometry_tables/prometheus/trident.parquet'
xyz = ['sensor_pos_x', 'sensor_pos_y', 'sensor_pos_z']
string_id_column = 'sensor_string_id'
sensor_id_column = 'sensor_id'
feature_map()[source]

Map standardization functions to each dimension.

Return type:

Dict[str, Callable]

class graphnet.models.detector.prometheus.IceCubeUpgrade7(*args, **kwargs)[source]

Bases: Detector

Detector class for Prometheus IceCubeUpgrade7.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object

geometry_table_path = '/home/runner/.local/lib/python3.10/data/geometry_tables/prometheus/icecube_upgrade.parquet'
xyz = ['sensor_pos_x', 'sensor_pos_y', 'sensor_pos_z']
string_id_column = 'sensor_string_id'
sensor_id_column = 'sensor_id'
feature_map()[source]

Map standardization functions to each dimension.

Return type:

Dict[str, Callable]

class graphnet.models.detector.prometheus.WaterDemo81(*args, **kwargs)[source]

Bases: Detector

Detector class for Prometheus WaterDemo81.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object

geometry_table_path = '/home/runner/.local/lib/python3.10/data/geometry_tables/prometheus/demo_water.parquet'
xyz = ['sensor_pos_x', 'sensor_pos_y', 'sensor_pos_z']
string_id_column = 'sensor_string_id'
sensor_id_column = 'sensor_id'
feature_map()[source]

Map standardization functions to each dimension.

Return type:

Dict[str, Callable]

class graphnet.models.detector.prometheus.BaikalGVD8(*args, **kwargs)[source]

Bases: Detector

Detector class for Prometheus BaikalGVD8.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object

geometry_table_path = '/home/runner/.local/lib/python3.10/data/geometry_tables/prometheus/gvd.parquet'
xyz = ['sensor_pos_x', 'sensor_pos_y', 'sensor_pos_z']
string_id_column = 'sensor_string_id'
sensor_id_column = 'sensor_id'
feature_map()[source]

Map standardization functions to each dimension.

Return type:

Dict[str, Callable]

class graphnet.models.detector.prometheus.IceDemo81(*args, **kwargs)[source]

Bases: Detector

Detector class for Prometheus IceDemo81.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object

geometry_table_path = '/home/runner/.local/lib/python3.10/data/geometry_tables/prometheus/demo_ice.parquet'
xyz = ['sensor_pos_x', 'sensor_pos_y', 'sensor_pos_z']
string_id_column = 'sensor_string_id'
sensor_id_column = 'sensor_id'
feature_map()[source]

Map standardization functions to each dimension.

Return type:

Dict[str, Callable]

class graphnet.models.detector.prometheus.ARCA115(*args, **kwargs)[source]

Bases: Detector

Detector class for Prometheus ARCA115.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object

geometry_table_path = '/home/runner/.local/lib/python3.10/data/geometry_tables/prometheus/arca.parquet'
xyz = ['sensor_pos_x', 'sensor_pos_y', 'sensor_pos_z']
string_id_column = 'sensor_string_id'
sensor_id_column = 'sensor_id'
feature_map()[source]

Map standardization functions to each dimension.

Return type:

Dict[str, Callable]

class graphnet.models.detector.prometheus.ORCA150(*args, **kwargs)[source]

Bases: Detector

Detector class for Prometheus ORCA150.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object

geometry_table_path = '/home/runner/.local/lib/python3.10/data/geometry_tables/prometheus/orca.parquet'
xyz = ['sensor_pos_x', 'sensor_pos_y', 'sensor_pos_z']
string_id_column = 'sensor_string_id'
sensor_id_column = 'sensor_id'
feature_map()[source]

Map standardization functions to each dimension.

Return type:

Dict[str, Callable]

class graphnet.models.detector.prometheus.IceCube86Prometheus(*args, **kwargs)[source]

Bases: Detector

Detector class for Prometheus IceCube86.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object

geometry_table_path = '/home/runner/.local/lib/python3.10/data/geometry_tables/prometheus/icecube86.parquet'
xyz = ['sensor_pos_x', 'sensor_pos_y', 'sensor_pos_z']
string_id_column = 'sensor_string_id'
sensor_id_column = 'sensor_id'
feature_map()[source]

Map standardization functions to each dimension.

Return type:

Dict[str, Callable]

class graphnet.models.detector.prometheus.IceCubeDeepCore8(*args, **kwargs)[source]

Bases: Detector

Detector class for Prometheus IceCubeDeepCore8.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object

geometry_table_path = '/home/runner/.local/lib/python3.10/data/geometry_tables/prometheus/icecube_deepcore.parquet'
xyz = ['sensor_pos_x', 'sensor_pos_y', 'sensor_pos_z']
string_id_column = 'sensor_string_id'
sensor_id_column = 'sensor_id'
feature_map()[source]

Map standardization functions to each dimension.

Return type:

Dict[str, Callable]

class graphnet.models.detector.prometheus.IceCubeGen2(*args, **kwargs)[source]

Bases: Detector

Detector class for Prometheus IceCubeGen2.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object

geometry_table_path = '/home/runner/.local/lib/python3.10/data/geometry_tables/prometheus/icecube_gen2.parquet'
xyz = ['sensor_pos_x', 'sensor_pos_y', 'sensor_pos_z']
string_id_column = 'sensor_string_id'
sensor_id_column = 'sensor_id'
feature_map()[source]

Map standardization functions to each dimension.

Return type:

Dict[str, Callable]

class graphnet.models.detector.prometheus.PONETriangle(*args, **kwargs)[source]

Bases: Detector

Detector class for Prometheus PONE Triangle.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object

geometry_table_path = '/home/runner/.local/lib/python3.10/data/geometry_tables/prometheus/pone_triangle.parquet'
xyz = ['sensor_pos_x', 'sensor_pos_y', 'sensor_pos_z']
string_id_column = 'sensor_string_id'
sensor_id_column = 'sensor_id'
feature_map()[source]

Map standardization functions to each dimension.

Return type:

Dict[str, Callable]

class graphnet.models.detector.prometheus.Prometheus(*args, **kwargs)[source]

Bases: ORCA150SuperDense

Reference to ORCA150SuperDense.

Construct Detector.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

object