GUIBRUSHR.GUI.Input_Output_Panels.Input_Panels.Frame_Cross_Correlation.Frame_run_CC module

Cross-correlation analysis module for spectroscopic data.

This module implements cross-correlation analysis for spectroscopic observations, allowing for both single-night and multi-night analysis. It supports different correlation methods and can handle both transmission and emission spectroscopy.

The main class FrameRunCC provides a GUI interface for running cross-correlation analysis with various parameters and visualization options.

class GUIBRUSHR.GUI.Input_Output_Panels.Input_Panels.Frame_Cross_Correlation.Frame_run_CC.FrameRunCC(parent, color, row, column, path_default, frame_input, window, filters_and_table, widget_nights, **kwargs)[source]

Bases: MyPanel

GUI panel for running cross-correlation analysis on spectroscopic data.

This class provides a graphical interface for performing cross-correlation analysis between observed spectra and model templates. It supports both single-night and multi-night analysis, with options for different correlation methods and visualization tools.

The panel includes controls for: - Radial velocity range and step size - Phase binning parameters - Correlation method selection - Eccentric orbit handling - Speed optimization options

__init__(parent, color, row, column, path_default, frame_input, window, filters_and_table, widget_nights, **kwargs)[source]

Initialize the cross-correlation analysis panel.

Parameters:

  • parent – Parent widget

  • color – Background color

  • row – Row position in parent

  • column – Column position in parent

  • path_default – Default path for file operations

  • frame_input – Input frame containing target information

  • window – Main application window

  • filters_and_table – Filter and table widget (optional)

  • widget_nights – Nights widget (optional)

  • **kwargs – Additional keyword arguments

run_cc()[source]

Run cross-correlation analysis.

Collects GUI parameters, saves them to the exchange pkl, and launches run_cc_background.py as a subprocess. The GUI remains responsive while computation runs. check_proc() polls every 500ms for completion.

check_proc()[source]

Poll the background cross-correlation subprocess every 500ms.

When the process finishes, re-enables the RUN button and either displays the result PDF or shows an error dialog.

show_run_cc()[source]

Display previously computed cross-correlation results.

Loads and displays the PDF file containing cross-correlation plots from a previous analysis run. Locates the correct results directory based on the current analysis mode (retrieval or night/manual) and selected nights/parameters.

The method constructs the appropriate file path based on: - Retrieval mode: Uses filter table to locate results in RESULTS_FOLDER - Night/manual mode: Uses selected nights, order, telluric method, and model name

For multi-night analysis, looks for results with "multi_" prefix. Shows an error message if no nights are selected.