# TwinPeaks

{% hint style="info" %}
This scope requires a **Pro** license.
{% endhint %}

TwinPeaks is a specialized histogram visualization that shows the distribution of color values as a luminous trace, making it easy to identify peaks and clusters in your image data.

<figure><img src="/files/njCQxChaaHfYWA2IJa5Q" alt=""><figcaption><p>TwinPeaks scope showing RGB channel distribution</p></figcaption></figure>

## Overview

Unlike traditional histograms that show bar graphs, TwinPeaks displays the data as a continuous, glowing trace. This makes it easier to:

* Identify subtle peaks in color distribution
* See the relationship between different tonal regions
* Spot clipping at highlights or shadows
* Visualize the overall "shape" of your image's tonal distribution

## Interface

The scope displays RGB channels as overlapping traces, with intensity indicating the concentration of pixels at each value.

## Settings

Access scope settings via the hamburger menu (☰) or right-click on the scope.

| Setting    | Description                         | Default |
| ---------- | ----------------------------------- | ------- |
| Channel    | RGB combined or individual channels | RGB     |
| Brightness | Trace brightness/intensity          | Auto    |
| Scale      | Linear or logarithmic display       | Linear  |

<figure><img src="/files/dUlWiLwgYu0b3oVWpTyk" alt=""><figcaption><p>TwinPeaks with individual channel traces</p></figcaption></figure>

## Use Cases

### Exposure Analysis

The shape of the TwinPeaks trace quickly reveals:

* **Underexposure**: Peaks bunched toward the left
* **Overexposure**: Peaks bunched toward the right
* **Well-exposed**: Peaks distributed across the range

### Highlight and Shadow Detail

Look for peaks at the extreme edges:

* Peaks touching the left edge indicate crushed blacks
* Peaks touching the right edge indicate clipped highlights

### Color Balance

Compare the position of RGB channel peaks:

* Aligned peaks indicate neutral tones
* Offset peaks indicate color casts

## Tips

* Use alongside the standard Histogram for different perspectives
* The trace brightness helps identify where most pixels are concentrated
* Logarithmic scale can reveal detail in sparse regions

## Related Scopes

* [Histogram](/nobe-omniscope/scopes/histogram.md) - Traditional bar-graph histogram
* [Waveform](/nobe-omniscope/scopes/waveform.md) - Luma and RGB parade
* [Channel Plot](/nobe-omniscope/scopes/channel-plot.md) - Per-channel analysis


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