das-nidf 1.0.4

Distributed Acoustic Sensing Processing and Data Visualization Library

DAS_NIDF - Distributed Acoustic Sensing Data Visualization

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Overview

DAS_NIDF is a comprehensive Python library for visualizing and analyzing Distributed Acoustic Sensing (DAS) data. It provides interactive, high-performance visualization tools using Holoviews + Datashader, capable of handling billions of data points.

Developed exclusively for internal use by the Núcleo Interdisciplinar de Dinâmica dos Fluidos (NIDF).

Restricted Use Notice: This package was created specifically for research and technical activities within NIDF and is not intended for public or commercial use.

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Features

• Interactive Waterfall Plots - Real-time zoom, pan, and hover
• Spectrogram Analysis - Integrated band power maps
• Frequency-Wavenumber (f-k) Analysis - 2D FFT for wavefield analysis
• ROI Analysis - Region of Interest extraction and visualization
• Customizable Colormaps - Viridis, Plasma, and more
• High Performance - Datashader rendering for large datasets
• Interactive Dashboard - All plots combined in a single HTML page
• Complete Processing Pipeline - From HDF5 to visualization

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Installation

From PyPI (authorized internal users only)

pip install das-nidf

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Dependencies

Automatically installed with the package:

• numpy >= 1.20.0
• scipy >= 1.7.0
• h5py >= 3.0.0
• holoviews >= 1.15.0
• datashader >= 0.14.0
• bokeh >= 2.4.0
• scikit-image >= 0.19.0

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🚀 Quick Start

from DAS_NIDF import run_server
run_server()

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📖 Detailed Usage

1. Complete Processing Pipeline

The process_full_pipeline() method handles:

• Reads HDF5 file
• Extracts metadata (fs, dx, num_locs)
• Applies temporal cutting
• Removes DC mean
• Applies bandpass filter

1. Main Interface & File Upload

The Main tab allows users to upload raw HDF5 data files. It automatically extracts and displays key file metadata (channels, duration, and sampling rate) and provides a "Quick Actions" panel to trigger the analysis generation with a real-time progress bar.

2. Parameters Configuration

The Parameters tab gives users full control over the data processing. It is divided into two main sections: Processing Parameters (for setting time windows and frequency filters like high-pass and low-pass) and Visualization Parameters (for defining spatial boundaries along the fiber, phase limits, and naming the output).

3. Load Existing Analysis

The Load Analysis tab enables users to browse and select previously generated analysis runs. This allows for quick retrieval of past results without the need to reprocess the heavy raw data files.

4. Results Navigation

Once an analysis is successfully generated or loaded, the Results tab displays quick-access buttons. Users can easily navigate to the main interactive dashboard or open individually generated static figures (Figure 1 through 5) for quick inspection.

5. Interactive Visualization Dashboard

The core DAS_NIDF Control Panel dashboard provides a quick summary of the dataset and acts as a hub for various interactive modules. Users can open specific tools such as Time Signals & FFT, Temporal PSD Maps, ROI Phase Maps, and F-K Analysis.

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🔒 License / Usage Policy

This software is intended solely for internal academic and technical use within NIDF. Redistribution, resale, external deployment, or unauthorized modification may be restricted.

For access requests or collaboration inquiries, please contact the maintainers.

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🌟 Acknowledgments

• HoloViz team for Holoviews and Datashader
• Bokeh team for interactive visualization
• NIDF - UFRJ for research support