Skip to main content

Adaptive pressure profile tracking of the shock-train leading edge.

Project description

app: Adaptive Pressure Profile (APP) Shock Train Tracking

The APP method is an approach to adaptive realtime shock train tracking from pressure transducer data.

Software

The python package is available on pypi here

Vignettes

A basic vignette of how to use APP is available here (.py .ipynb)

Papers

1. "Adaptive Pressure Profile Method to Locate the Isolator Shock Train Leading Edge Given Limited Pressure Information" AIAA 2020 P&E

  • Our publication in AIAA P&E is available here

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

app_stle-0.0.3.tar.gz (5.3 kB view details)

Uploaded Source

File details

Details for the file app_stle-0.0.3.tar.gz.

File metadata

  • Download URL: app_stle-0.0.3.tar.gz
  • Upload date:
  • Size: 5.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.8.10

File hashes

Hashes for app_stle-0.0.3.tar.gz
Algorithm Hash digest
SHA256 d5ccbbe59c80c7920cf4d3b4dbd87ac2fd950532df778f3d940cd980b020b914
MD5 75e41348e2ebbac887d26076500c2f78
BLAKE2b-256 60af33462de41524b27e911b7ebc563264489fae51f5bd7e7e7ff4ca4741d2de

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page