# Theoretical physics

Particle physics and various methods related to manifold understanding.

# Particle physics experiment

Process the data from a particle physics experiment, such as in advance of anomaly detection.

# Endpoint

POST /processing/physics/collider_experiment

# Parameters

Name Type Description Required
manifest string GCS bucket path for GCS file path manifest ✔️

# Response

Status: 200

{
  "task_identifier": "EFTGHDFER"
}

curl -X POST https://api.rvrnc.io/processing/physics/collider_experiment \
  --data '{
  "manifest": "gs://user/manifest.csv"
}'

# Manifold understanding

Perform unsupervised learning on a large number of manifold representations, providing a taxonomy.

# Endpoint

POST /processing/physics/manifold_understanding

# Parameters

Name Type Description Required
manifest string GCS bucket path for GCS file path manifest ✔️

# Response

Status: 200

{
  "task_identifier": "EFTGHDFER"
}

curl -X POST https://api.rvrnc.io/processing/physics/manifold_understanding \
  --data '{
  "manifest": "gs://user/manifest.csv"
}'

# Process dynamics traces

Process the trace of the dynamics of a physical phenomenon, i.e. a time-series, for the purpose of learning to better understand the phenomenon from data or learn a faster implementation of an existing dynamics modelling tool.

# Endpoint

POST /processing/physics/process_dynamics

# Parameters

Name Type Description Required
manifest string GCS bucket path for GCS file path manifest ✔️

# Response

Status: 200

{
  "task_identifier": "EFTGHDFER"
}

curl -X POST https://api.rvrnc.io/processing/physics/process_dynamics \
  --data '{
  "manifest": "gs://user/manifest.csv"
}'