ML4GW / ML4GW/aframe

Complete unfinished vizapp functionality

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A pull request for this has already been merged.

  • #515 by @wbenoit26 — merged
plotting
Dominant language
Python
Stars
18
Forks
28
Avg merge
2d 2h
Merged PRs (30d)
7

Description

Several vizapp components are incomplete.

  • SensitiveVolumePlot.update() updates self.background but does not recompute or re-render the SV curves. Requires reworking make_plot() to use ColumnDataSource so update() can push new data without rebuilding the plot.
  • DataManager.update_vetos() applies vetos to the background but always returns the foreground unmodified.
  • DataManager.calculate_veto_masks() iterates over self.veto_options which is never initialized.
  • Mass and SNR sliders in DistributionPlot are initialized with hardcoded 0–100 range regardless of the actual data.
  • SNR ratio per event should be added to DataManager.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the vizapp implementations of SensitiveVolumePlot.update()/make_plot(), DataManager.update_vetos()/calculate_veto_masks(), and DistributionPlot's Mass and SNR sliders. Review how these components currently handle background, foreground, veto options, and data ranges. Done means all listed behaviors work, including the per-event SNR ratio, with the existing visualization updating correctly.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data-visualization
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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