This package contains common data models and utilities for standardizing data formats across SNEWS packages.

• Data models for key SNEWS data types like messages and timestamps with validation via Pydantic
• Message models for different tiers like heartbeat, retraction, timing, significance, and coincidence
• Utilities for handling nanosecond timestamps and leap seconds
• Static data for supported detectors
• Generation of JSON schemas for data models
• Comprehensive testing suite

If you don't have poetry, install that first.

Install the package:

poetry install

Use it in your code:

from snews.models.messages import SignificanceTierMessage

message = SignificanceTierMessage(
    detector_name="Super-K",
    p_values: [0.43, 0.32, 0.01],
    t_bin_width_sec: 5e-3
)

print(message.model_dump())

See the documentation for more details on the available data models and utilities.

See snews/examples for ipython notebooks.

Contributions are welcome!