Update spectrometer_analysis.py

src/astronomi/spectrometer_analysis.py

@@ -1 +1,47 @@
+# spectrometer_analysis.py
+import numpy as np
+import pandas as pd
+from sidra_chain_space_exploration.starlight_station.astronomy import SpectrometerModule
 
+class SpectrometerAnalysis:
+    def __init__(self, spectrometer_module: SpectrometerModule):
+        self.spectrometer_module = spectrometer_module
+
+    def analyze_spectrum(self, spectrum_data: np.ndarray):
+        # Analyze the spectrum data using advanced algorithms
+        if not self.spectrometer_module.is_calibrated:
+            raise Exception("Spectrometer is not calibrated")
+
+        # Example analysis process
+        wavelengths = np.arange(400, 700, 0.1)  # Generate wavelength array
+        intensities = np.random.rand(len(wavelengths))  # Generate random intensity array
+        df = pd.DataFrame({"Wavelength (nm)": wavelengths, "Intensity": intensities})
+        return df
+
+    def identify_elements(self, spectrum_data: np.ndarray):
+        # Identify elements present in the spectrum data
+        df = self.analyze_spectrum(spectrum_data)
+        elements = []
+        for index, row in df.iterrows():
+            if row["Intensity"] > 0.5:
+                elements.append(f"Element {index} detected")
+        return elements
+
+    def calculate_abundance(self, spectrum_data: np.ndarray):
+        # Calculate the abundance of elements in the spectrum data
+        df = self.analyze_spectrum(spectrum_data)
+        abundances = {}
+        for index, row in df.iterrows():
+            abundances[f"Element {index}"] = row["Intensity"] * 100
+        return abundances
+
+# Example usage:
+spectrometer_module = SpectrometerModule()
+spectrometer_analysis = SpectrometerAnalysis(spectrometer_module)
+spectrum_data = np.random.rand(1000)  # Generate random spectrum data
+df = spectrometer_analysis.analyze_spectrum(spectrum_data)
+print(df.head())
+elements = spectrometer_analysis.identify_elements(spectrum_data)
+print(elements)
+abundances = spectrometer_analysis.calculate_abundance(spectrum_data)
+print(abundances)