Analysis Results

Access the data extracted from your RHEED videos and images.

Fetch Results

from atomscale import Client

client = Client()

# Search for data
search_results = client.search(keywords=["GaN"], status="success")

# Fetch analysis results
analysed = client.get(search_results["Data ID"].to_list())

Each item in analysed is a result object with properties for accessing different types of analysis data.

Timeseries Data

For RHEED videos, get frame-by-frame analysis:

video = analysed[0]
df = video.timeseries_data

print(df.columns)
print(df.tail())

Common columns:

Column	Description
timestamp	Frame timestamp in seconds
specular_intensity	Specular spot brightness
strain	Computed strain metric
cluster_id	Pattern cluster assignment

Extracted Frames

Access snapshots extracted during analysis:

snapshot = video.snapshot_image_data[0]

# Get matplotlib figure
fig = snapshot.get_plot()
fig.savefig("snapshot.png")

# Get diffraction pattern as DataFrame
pattern_df = snapshot.get_pattern_dataframe()

# Get pattern as NetworkX graph
graph = snapshot.pattern_graph

Result Types

The type of result object depends on the source data:

Data Type	Result Class
rheed_stationary, rheed_rotating	RHEEDVideoResult
rheed_image	RHEEDImageResult
xps	XPSResult

Batch Processing

Process multiple results efficiently:

for item in analysed:
    if hasattr(item, "timeseries_data"):
        df = item.timeseries_data
        avg_intensity = df["specular_intensity"].mean()
        print(f"{item.data_id}: avg intensity = {avg_intensity:.2f}")