specdash package

Subpackages

• specdash.fitting package
  • Submodules
  • specdash.fitting.fitter module
  • specdash.fitting.fitting_models module
  • Module contents
• specdash.input package
  • Subpackages
    • specdash.input.sdss package
      • Submodules
      • specdash.input.sdss.driver module
      • Module contents
  • Module contents
• specdash.layout package
  • Submodules
  • specdash.layout.tables module
  • Module contents
• specdash.local package
  • Submodules
  • specdash.local.resources module
  • Module contents
• specdash.logging package
  • Submodules
  • specdash.logging.logger module
  • Module contents
• specdash.models package
  • Submodules
  • specdash.models.base_model module
  • specdash.models.data_models module
  • specdash.models.enum_models module
  • Module contents
• specdash.smoothing package
  • Submodules
  • specdash.smoothing.smoother module
  • Module contents

Submodules

specdash.app_layout module

specdash.app_layout.get_docs_layout()

specdash.app_layout.get_documentation_page_layout(self)

specdash.app_layout.get_navbar()

specdash.app_layout.get_spectrum_page_layout(self)

specdash.app_layout.load_app_layout(self)

specdash.callbacks module

specdash.callbacks.load_callbacks(self)

specdash.colors module

specdash.colors.get_next_color(previous_colors)

specdash.config module

specdash.flux module

specdash.flux.abmag_to_flambda(abmag, lam, wavelength_unit)

specdash.flux.abmag_to_fnu(abmag)

specdash.flux.abmag_to_jansky(abmag)

specdash.flux.convert_flux(flux=[], wavelength=[], from_flux_unit='F_lambda', to_flux_unit='F_lambda', to_wavelength_unit='angstrom')

specdash.flux.convert_wavelength(wavelength, from_wavelength_unit='angstrom', to_wavelength_unit='angstrom')

specdash.flux.flambda_to_abmag(flam, lam, wavelength_unit)

specdash.flux.flambda_to_fnu(flam, lam, wavelength_unit)

specdash.flux.flambda_to_jansky(flam, lam, wavelength_unit)

specdash.flux.fnu_to_abmag(fnu)

specdash.flux.fnu_to_flambda(fnu, lam, wavelength_unit)

specdash.flux.fnu_to_jansky(fnu)

specdash.flux.jansky_to_absmag(jy)

specdash.flux.jansky_to_flambda(jy, lam, wavelength_unit)

specdash.flux.jansky_to_fnu(jy)

specdash.spectral_lines module

specdash.spectral_lines.get_artificial_lines()

specdash.spectral_lines.get_sky_lines()

specdash.spectral_lines.get_spectral_lines()

specdash.spectral_lines.get_spectral_lines_from_json()

specdash.utilities module

specdash.utilities.get_specid_list(specid_text)

specdash.utilities.get_unused_port(initial_port, address='127.0.0.1', max_tries=10)

specdash.utilities.is_server_port_used(address, port)

specdash.viewer module

class specdash.viewer.Viewer(as_website=False)

Bases: object

Class representing the spectrum viewer object.

APP_DATA_KEYS = ['traces', 'fitted_models', 'selection', 'smoothing_kernel_types', 'fitting_model_types', 'redshift_distributions', 'metadata', 'line_analysis', 'axis_units', 'updates', 'trace_store_mapping', 'zdist_store_mapping']

add_spectrum(spectrum, is_visible=True)

Parameters

• spectrum –

• is_visible –

add_spectrum_from_file(file_path, catalog_name, display_name=None, to_wavelength_unit=None, to_flux_unit=None)

Parameters

• file_path –

• catalog_name –

• display_name –

• to_wavelength_unit –

• to_flux_unit –

add_spectrum_from_id(specid, catalog_name, display_name=None, to_wavelength_unit=None, to_flux_unit=None)

Parameters

• specid –

• catalog_name –

• display_name –

• to_wavelength_unit –

• to_flux_unit –

static build_app_data()

static build_graph_settings(axis_units_changed=False)

fit_model(trace_name, median_filter_width=1, add_fit_substracted_trace=False)

Parameters

• trace_name –

• median_filter_width –

• add_fit_substracted_trace –

get_catalog_names()

get_data_dict(data)

get_data_selection()

get_spectrum(name)

Parameters

name –

get_trace_names()

initialize_api_endpoints()

remove_trace(name, also_remove_children=True)

Parameters

• name –

• also_remove_children –

reset_smoothing(trace_name)

Resets the smoothing previously done on trace :param trace_name: name of trace :return:

set_axis_units(wavelength_unit='angstrom', flux_unit='F_lambda')

Parameters

• wavelength_unit –

• flux_unit –

set_custom_model_fitter(model, fitter)

Sets the instances of a model and fitter in order to perform model fitting on a trace. :param model: model instance :param fitter: fitter instance :return:

set_data_selection(trace_name, selection_indices=[])

Parameters

• trace_name –

• selection_indices –

set_model_fitter(trace_name, fitting_model='gaussian + linear')

Sets the instances of a model and fitter in order to perform model fitting on a trace. :param model: model instance :param fitter: fitter instance :return:

set_smoothing_kernel(kernel='Gaussian', kernel_width=20, custom_array_kernel=None, custom_kernel_function=None, function_array_size=21)

Sets the smoothing kernel from several kernel options :param kernel: :param kernel_width: :param custom_array_kernel: :param custom_kernel_function: :param function_array_size: :return:

show_jupyter_app(debug=False, mode='jupyterlab')

Opens the Spectrum Viewer inside Jupyter. :param debug: :param mode: :return:

smooth_trace(trace_name, do_substract=False)

Smooths a trace after the kernel is set with ‘set_smoothing_kernel’ :param trace_name: name of trace :param do_substract: True if the smoothed trace is substraced from the original trace. False otherwise. :return:

toggle(name=None, is_visible=True, all_traces=True)

Parameters

• name –

• is_visible –

• all_traces –

update_client(component_names=[], timestamp=None)

update_trace(name, trace)

Parameters

• name –

• trace –

write_info(info, file_endding='')

Module contents