Beispiel #1
0
 def __init__(self, name, wavelength, axes, on_remove, show_wavelength = False, fontsize = 12, position = None, color='#80ff80'):
     self.axes = axes
     self.wavelength = wavelength
     self.name = name
     self.fontsize = fontsize
     self.show_lambda = show_wavelength
     self.on_remove = on_remove
     self.edit_dialog = QDialog()
     self.line = self.axes.axvline(wavelength, color=color)
     self.label = MoveableLabel(axes=axes, on_dblclick = lambda m: self.edit_dialog.show(), x=wavelength + 50, y=0.5, text=name, fontsize=fontsize)
     self.axes.figure.canvas.draw()
     self.press = None
     self.edit_dialog_ui = Ui_LineEdit()
     self.edit_dialog_ui.setupUi(self.edit_dialog)
     self.line_text = QtCommons.nestWidget(self.edit_dialog_ui.line_text_wrapper, GreekLineEdit())
     self.edit_dialog_ui.show_lambda.setChecked(show_wavelength)
     self.edit_dialog_ui.wavelength.setText("{} Å".format(wavelength))
     self.line_text.setText(name)
     self.edit_dialog.accepted.connect(self.update_line)
     self.edit_dialog_ui.reset_default_text.clicked.connect(lambda: self.line_text.setText(name))
     text_size = self.label.get_size()
     self.edit_dialog_ui.text_size.setValue(text_size)
     self.edit_dialog_ui.reset_default_size.clicked.connect(lambda: self.edit_dialog_ui.text_size.setValue(text_size))
     self.edit_dialog_ui.remove_line.clicked.connect(self.edit_dialog.reject)
     self.edit_dialog_ui.remove_line.clicked.connect(self.remove)
     self.update_line()
     if position:
         self.label.set_x(position[0])
         self.label.set_y(position[1])
    def __init__(self, fits_file, settings, database, project=None):
        super(CalibrateSpectrum, self).__init__()
        self.project=project
        self.settings = settings
        self.fits_spectrum = FitsSpectrum(fits_file)
        self.fits_spectrum.spectrum.normalize_to_max()
        self.fits_file = fits_file
        self.ui = Ui_CalibrateSpectrum()
        self.ui.setupUi(self)
        self.toolbar = QToolBar('Calibration Toolbar')
        self.toolbar.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
        self.ui.x_axis_pick.setMenu(QMenu())
        self.ui.x_axis_pick.menu().addAction("Maximum from range").triggered.connect(lambda: self.pick_from_range('maximum'))
        self.ui.x_axis_pick.menu().addAction("Minimum from range").triggered.connect(lambda: self.pick_from_range('minimum'))
        self.ui.x_axis_pick.menu().addAction("Central value from range").triggered.connect(lambda: self.pick_from_range('central'))
        self.ui.wavelength_pick.clicked.connect(lambda: self.lines_dialog.show())
        
        save_action = self.toolbar.addAction(QIcon(':/save_20'), 'Save', self.save_spectrum)
        self.spectrum_plot = QtCommons.nestWidget(self.ui.spectrum_plot_widget, QMathPlotWidget())
        
        self.reference_spectra_dialog = ReferenceSpectraDialog(database)
        self.reference_spectra_dialog.setup_menu(self.toolbar, self.spectrum_plot.axes, settings)

        self.object_properties = ObjectProperties(self.fits_file, project=project)
        self.object_properties_dialog = ObjectPropertiesDialog(settings, self.object_properties)
        self.toolbar.addAction("Object properties", self.object_properties_dialog.show)

        self.calibration_model = QStandardItemModel()
        self.calibration_model.setHorizontalHeaderLabels(["x-axis", "wavelength", "error"])
        self.ui.calibration_points.setModel(self.calibration_model)
        self.ui.calibration_points.selectionModel().selectionChanged.connect(lambda selected, deselected: self.ui.remove_calibration_point.setEnabled(len(selected.indexes()) > 0)  )
        self.ui.add_calibration_point.clicked.connect(self.add_calibration_point)
        self.ui.remove_calibration_point.setEnabled(False)
        self.ui.remove_calibration_point.clicked.connect(self.remove_calibration_point)
        if project and project.avg_dispersion():
            self.ui.set_dispersion.setMenu(QMenu())
            self.ui.set_dispersion.menu().addAction('From input value', self.calculate_calibration)
            self.ui.set_dispersion.menu().addAction('From Project', lambda: self.calculate_calibration(project.avg_dispersion()))
        else:
            self.ui.set_dispersion.clicked.connect(self.calculate_calibration)
        self.ui.point_is_star.toggled.connect(lambda checked: self.ui.wavelength_pick.setEnabled(not checked))
        self.ui.point_is_star.toggled.connect(lambda checked: self.ui.point_wavelength.setEnabled(not checked))
        self.fits_spectrum.plot_to(self.spectrum_plot.axes)
        
        self.toolbar.addSeparator()
        self.toolbar.addAction("Zoom", self.spectrum_plot.select_zoom)
        self.toolbar.addAction("Reset Zoom", lambda: self.spectrum_plot.reset_zoom(self.fits_spectrum.spectrum.wavelengths, self.fits_spectrum.spectrum.fluxes.min(), self.fits_spectrum.spectrum.fluxes.max()))
        self.toolbar.addSeparator()
        
        self.lines_dialog = LinesDialog(database, settings, self.spectrum_plot, enable_picker = False, selection_mode = 'single')
        self.lines_dialog.lines.connect(self.picked_line)

        hdu_calibration_points = [h for h in self.fits_file if h.name == FitsSpectrum.CALIBRATION_DATA]
        if len(hdu_calibration_points) > 0:                
            for point in hdu_calibration_points[-1].data:
                self.add_calibration_point_data(point[0], point[1])
        self.calculate_calibration()
Beispiel #3
0
 def __init__(self, settings, database, project=None):
     super(PlotsMath, self).__init__()
     self.ui = Ui_PlotsMath()
     self.ui.setupUi(self)
     self.settings = settings
     self.project=project
     self.plot = QtCommons.nestWidget(self.ui.plot, QMathPlotWidget())
     self.reference_dialog = ReferenceSpectraDialog(database)
     self.reference_dialog.fits_picked.connect(self.open_fits)
     self.toolbar = QToolBar('Instrument Response Toolbar')
     open_btn = QtCommons.addToolbarPopup(self.toolbar, text="Open...", icon_file=':/new_open_20')
     open_file_action = open_btn.menu().addAction('FITS file')
     open_btn.menu().addAction('Reference library', self.reference_dialog.show)
     self.blackbody_menu = blackbody.BlackBodyAction(self.blackbody, open_btn.menu())
     
     if project:
         save_result = QtCommons.addToolbarPopup(self.toolbar, text='Save', icon_file=':/save_20')
         save_result.menu().addAction('As File', lambda: QtCommons.save_file('Save Operation Result...', FITS_EXTS, lambda f: self.save(f[0]), project.path))
         save_result.menu().addAction('As Instrument Response', self.save_project_instrument_response)
         open_file_action.triggered.connect(lambda: QtCommons.open_file('Open FITS Spectrum',FITS_EXTS, lambda f: self.open_fits(f[0]), project.path))
     else:
         open_file_action.triggered.connect(lambda: open_file_sticky('Open FITS Spectrum',FITS_EXTS, lambda f: self.open_fits(f[0]), self.settings, CALIBRATED_PROFILE, [RAW_PROFILE]))
         self.toolbar.addAction(QIcon(':/save_20'), 'Save', lambda: save_file_sticky('Save Operation Result...', 'FITS file (.fit)', lambda f: self.save(f[0]), self.settings, MATH_OPERATION, [CALIBRATED_PROFILE]))
         
     self.toolbar.addAction('Set operand', self.set_operand)
     self.toolbar.addSeparator()
     self.toolbar.addAction(self.ui.actionZoom)
     self.ui.actionZoom.triggered.connect(self.start_zoom)
     self.toolbar.addAction(self.ui.actionReset_Zoom)
     self.ui.actionReset_Zoom.triggered.connect(self.reset_zoom)
     self.toolbar.addSeparator()
     self.operands_model = QStandardItemModel()
     self.ui.operands_listview.setModel(self.operands_model)
     remove_btn = QtCommons.addToolbarPopup(self.toolbar, text='Remove...')
     remove_btn.menu().addAction(self.ui.actionSelectPointsToRemove)
     remove_btn.menu().addAction("Before point", lambda: spectrum_trim_dialog(self.spectrum, 'before', self.plot.axes, lambda: self.draw(), self, before_removal=self.undo.save_undo))
     remove_btn.menu().addAction("After point", lambda: spectrum_trim_dialog(self.spectrum, 'after', self.plot.axes, lambda: self.draw(), self, before_removal=self.undo.save_undo))
     self.ui.clear_operands.clicked.connect(self.operands_model.clear)
     self.ui.remove_operand.clicked.connect(lambda: self.operands_model.removeRows(self.ui.operands_listview.selectionModel().selectedRows()[0].row(), 1))
         
     self.operands_model.rowsInserted.connect(lambda: self.ui.clear_operands.setEnabled(self.operands_model.rowCount() > 0) )
     self.operands_model.rowsRemoved.connect(lambda: self.ui.clear_operands.setEnabled(self.operands_model.rowCount() > 0) )
     self.ui.operands_listview.selectionModel().selectionChanged.connect(lambda s, u: self.ui.remove_operand.setEnabled(len(s)))
     self.ui.actionSelectPointsToRemove.triggered.connect(self.pick_rm_points)
     self.undo = Undo(None, self.draw)
     self.undo.add_actions(self.toolbar)
     self.ui.spline_factor.valueChanged.connect(self.factor_valueChanged)
     self.ui.spline_degrees.valueChanged.connect(lambda v: self.draw())
     self.ui.spline_factor_auto.toggled.connect(lambda v: self.draw())
     self.ui.spline_factor_auto.toggled.connect(lambda v: self.ui.spline_factor.setEnabled(not v))
     self.ui.execute.clicked.connect(self.execute_operation)
     self.plot.figure.tight_layout()
Beispiel #4
0
 def __init__(self, fits_file, settings, project = None):
     super(ImportImage, self).__init__()
     self.settings = settings
     self.fits_file = fits_file
     self.project = project
     try:
         image_hdu_index = fits_file.index_of('IMAGE')
     except KeyError:
         image_hdu_index = 0
     
     original_image = fits.ImageHDU(data=fits_file[image_hdu_index].data, header=fits_file[image_hdu_index].header, name='IMAGE')
     for hdu in [h for h in self.fits_file if h.name == 'IMAGE']: self.fits_file.remove(hdu)
     self.fits_file.append(original_image)
     
     self.ui = Ui_ImportImage()
     self.ui.setupUi(self)
     
     self.rotate_dialog = RotateImageDialog(self.fits_file, image_hdu_index, project=project)
     self.rotate_dialog.rotated.connect(self.rotated)
     
     self.image_plot = QtCommons.nestWidget(self.ui.image_widget, QImPlotWidget(self.rotate_dialog.data_rotated, cmap='gray'))
     self.spatial_plot = QtCommons.nestWidget(self.ui.spatial_plot_widget, QMathPlotWidget())
     self.spectrum_plot = QtCommons.nestWidget(self.ui.spectrum_plot_widget, QMathPlotWidget())
     
     self.image_view = self.image_plot.axes_image
     
     self.toolbar = QToolBar('Image Toolbar')
     self.toolbar.addAction(QIcon(':/rotate_20'), "Rotate", lambda: self.rotate_dialog.show())
     self.toolbar.addAction(QIcon(':/save_20'), "Save", self.save_profile)
     self.toolbar.addAction(QIcon(':/select_all_20'), "Select spectrum data", lambda: self.spatial_plot.add_span_selector('select_spectrum', self.spectrum_span_selected,direction='horizontal'))
     self.toolbar.addAction(QIcon.fromTheme('edit-select-invert'), "Select background data", lambda: self.spatial_plot.add_span_selector('select_background', self.background_span_selected,direction='horizontal', rectprops = dict(facecolor='blue', alpha=0.5))).setEnabled(False)
     #self.toolbar.addAction('Stack', self.show_stack_images_dialog)
     self.toolbar.addSeparator()
     self.object_properties = ObjectProperties(self.fits_file, project=project)
     self.object_properties_dialog = ObjectPropertiesDialog(settings, self.object_properties)
     self.toolbar.addAction("Object properties", self.object_properties_dialog.show)
     self.rotated()
Beispiel #5
0
 def __init__(self,
              name,
              wavelength,
              axes,
              on_remove,
              show_wavelength=False,
              fontsize=12,
              position=None,
              color='#80ff80'):
     self.axes = axes
     self.wavelength = wavelength
     self.name = name
     self.fontsize = fontsize
     self.show_lambda = show_wavelength
     self.on_remove = on_remove
     self.edit_dialog = QDialog()
     self.line = self.axes.axvline(wavelength, color=color)
     self.label = MoveableLabel(
         axes=axes,
         on_dblclick=lambda m: self.edit_dialog.show(),
         x=wavelength + 50,
         y=0.5,
         text=name,
         fontsize=fontsize)
     self.axes.figure.canvas.draw()
     self.press = None
     self.edit_dialog_ui = Ui_LineEdit()
     self.edit_dialog_ui.setupUi(self.edit_dialog)
     self.line_text = QtCommons.nestWidget(
         self.edit_dialog_ui.line_text_wrapper, GreekLineEdit())
     self.edit_dialog_ui.show_lambda.setChecked(show_wavelength)
     self.edit_dialog_ui.wavelength.setText("{} Å".format(wavelength))
     self.line_text.setText(name)
     self.edit_dialog.accepted.connect(self.update_line)
     self.edit_dialog_ui.reset_default_text.clicked.connect(
         lambda: self.line_text.setText(name))
     text_size = self.label.get_size()
     self.edit_dialog_ui.text_size.setValue(text_size)
     self.edit_dialog_ui.reset_default_size.clicked.connect(
         lambda: self.edit_dialog_ui.text_size.setValue(text_size))
     self.edit_dialog_ui.remove_line.clicked.connect(
         self.edit_dialog.reject)
     self.edit_dialog_ui.remove_line.clicked.connect(self.remove)
     self.update_line()
     if position:
         self.label.set_x(position[0])
         self.label.set_y(position[1])
 def __init__(self, data, min, max, settings, type):
     super(SelectPlottedPoints, self).__init__()
     self.ui = Ui_SelectPlottedPoints()
     self.ui.setupUi(self)
     self.type = type
     self.min = min
     self.y_axis = data[min:max]
     self.x_axis = np.arange(min, min+len(self.y_axis))
     self.ui.x_coordinate.setRange(self.x_axis[0], self.x_axis[-1])
     self.plot = QtCommons.nestWidget(self.ui.plot_widget, QMathPlotWidget())
     self.finished.connect(lambda: self.deleteLater())
     self.ui.smoothing_factor.valueChanged.connect(self.factor_valueChanged)
     self.ui.smoothing_degree.valueChanged.connect(lambda v: self.draw())
     self.ui.smoothing_factor_auto.toggled.connect(lambda v: self.draw())
     self.ui.smoothing_factor_auto.toggled.connect(lambda v: self.ui.smoothing_factor.setEnabled(not v))
     self.restoreGeometry(settings.value('select_plotted_points_geometry', QByteArray()))
     self.finished.connect(lambda: settings.setValue('select_plotted_points_geometry', self.saveGeometry()))
     self.ui.x_coordinate.valueChanged.connect(self.set_point)
     
     QTimer.singleShot(100, self.draw)
Beispiel #7
0
    def __init__(self, data, min, max, settings, type):
        super(SelectPlottedPoints, self).__init__()
        self.ui = Ui_SelectPlottedPoints()
        self.ui.setupUi(self)
        self.type = type
        self.min = min
        self.y_axis = data[min:max]
        self.x_axis = np.arange(min, min + len(self.y_axis))
        self.ui.x_coordinate.setRange(self.x_axis[0], self.x_axis[-1])
        self.plot = QtCommons.nestWidget(self.ui.plot_widget,
                                         QMathPlotWidget())
        self.finished.connect(lambda: self.deleteLater())
        self.ui.smoothing_factor.valueChanged.connect(self.factor_valueChanged)
        self.ui.smoothing_degree.valueChanged.connect(lambda v: self.draw())
        self.ui.smoothing_factor_auto.toggled.connect(lambda v: self.draw())
        self.ui.smoothing_factor_auto.toggled.connect(
            lambda v: self.ui.smoothing_factor.setEnabled(not v))
        self.restoreGeometry(
            settings.value('select_plotted_points_geometry', QByteArray()))
        self.finished.connect(lambda: settings.setValue(
            'select_plotted_points_geometry', self.saveGeometry()))
        self.ui.x_coordinate.valueChanged.connect(self.set_point)

        QTimer.singleShot(100, self.draw)
Beispiel #8
0
    def __init__(self, fits_file, settings, database, project=None):
        super(CalibrateSpectrum, self).__init__()
        self.project = project
        self.settings = settings
        self.fits_spectrum = FitsSpectrum(fits_file)
        self.fits_spectrum.spectrum.normalize_to_max()
        self.fits_file = fits_file
        self.ui = Ui_CalibrateSpectrum()
        self.ui.setupUi(self)
        self.toolbar = QToolBar('Calibration Toolbar')
        self.toolbar.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
        self.ui.x_axis_pick.setMenu(QMenu())
        self.ui.x_axis_pick.menu().addAction(
            "Maximum from range").triggered.connect(
                lambda: self.pick_from_range('maximum'))
        self.ui.x_axis_pick.menu().addAction(
            "Minimum from range").triggered.connect(
                lambda: self.pick_from_range('minimum'))
        self.ui.x_axis_pick.menu().addAction(
            "Central value from range").triggered.connect(
                lambda: self.pick_from_range('central'))
        self.ui.wavelength_pick.clicked.connect(
            lambda: self.lines_dialog.show())

        save_action = self.toolbar.addAction(QIcon(':/save_20'), 'Save',
                                             self.save_spectrum)
        self.spectrum_plot = QtCommons.nestWidget(self.ui.spectrum_plot_widget,
                                                  QMathPlotWidget())

        self.reference_spectra_dialog = ReferenceSpectraDialog(database)
        self.reference_spectra_dialog.setup_menu(self.toolbar,
                                                 self.spectrum_plot.axes,
                                                 settings)

        self.object_properties = ObjectProperties(self.fits_file,
                                                  project=project)
        self.object_properties_dialog = ObjectPropertiesDialog(
            settings, self.object_properties)
        self.toolbar.addAction("Object properties",
                               self.object_properties_dialog.show)

        self.calibration_model = QStandardItemModel()
        self.calibration_model.setHorizontalHeaderLabels(
            ["x-axis", "wavelength", "error"])
        self.ui.calibration_points.setModel(self.calibration_model)
        self.ui.calibration_points.selectionModel().selectionChanged.connect(
            lambda selected, deselected: self.ui.remove_calibration_point.
            setEnabled(len(selected.indexes()) > 0))
        self.ui.add_calibration_point.clicked.connect(
            self.add_calibration_point)
        self.ui.remove_calibration_point.setEnabled(False)
        self.ui.remove_calibration_point.clicked.connect(
            self.remove_calibration_point)
        if project and project.avg_dispersion():
            self.ui.set_dispersion.setMenu(QMenu())
            self.ui.set_dispersion.menu().addAction('From input value',
                                                    self.calculate_calibration)
            self.ui.set_dispersion.menu().addAction(
                'From Project',
                lambda: self.calculate_calibration(project.avg_dispersion()))
        else:
            self.ui.set_dispersion.clicked.connect(self.calculate_calibration)
        self.ui.point_is_star.toggled.connect(
            lambda checked: self.ui.wavelength_pick.setEnabled(not checked))
        self.ui.point_is_star.toggled.connect(
            lambda checked: self.ui.point_wavelength.setEnabled(not checked))
        self.fits_spectrum.plot_to(self.spectrum_plot.axes)

        self.toolbar.addSeparator()
        self.toolbar.addAction("Zoom", self.spectrum_plot.select_zoom)
        self.toolbar.addAction(
            "Reset Zoom", lambda: self.spectrum_plot.reset_zoom(
                self.fits_spectrum.spectrum.wavelengths,
                self.fits_spectrum.spectrum.fluxes.min(),
                self.fits_spectrum.spectrum.fluxes.max()))
        self.toolbar.addSeparator()

        self.lines_dialog = LinesDialog(database,
                                        settings,
                                        self.spectrum_plot,
                                        enable_picker=False,
                                        selection_mode='single')
        self.lines_dialog.lines.connect(self.picked_line)

        hdu_calibration_points = [
            h for h in self.fits_file
            if h.name == FitsSpectrum.CALIBRATION_DATA
        ]
        if len(hdu_calibration_points) > 0:
            for point in hdu_calibration_points[-1].data:
                self.add_calibration_point_data(point[0], point[1])
        self.calculate_calibration()