timewise.wise_data_base.WISEDataBase

class timewise.wise_data_base.WISEDataBase(base_name: str, parent_sample_class, min_sep_arcsec, n_chunks)[source]

Base class for WISE Data

Parameters:

  • parent_sample_class (ParentSample class) – class for parent sample

  • base_name (str) – unique name to determine storage directories

  • min_sep (astropy.units.Quantity) – query region around source for positional query

  • whitelist_region (astropy.units.Quantity) – region around source where all datapoints are accepted in positional query

  • n_chunks (int) – number of chunks in declination

  • parent_wise_source_id_key (str) – key for the WISE source ID in the parent sample

  • parent_sample_wise_skysep_key (str) – key for the angular separation to the WISE source in the parent sample

  • parent_sample_default_entries (dict) – default entries for the parent sample

  • cache_dir (Path) – directory for cached data

  • cluster_dir (Path) – directory for cluster data

  • cluster_log_dir – directory for cluster logs

  • output_dir (Path) – directory for output data

  • lightcurve_dir (Path) – directory for lightcurve data

  • plots_dir (Path) – directory for plots

  • submit_file (Path) – file for cluster submission

  • tap_jobs (list[str]) – TAP job URLs

  • queue (multiprocessing.Queue) – queue for cluster jobs

  • clear_unbinned_photometry_when_binning (bool) – whether to clear unbinned photometry when binning

  • chunk_map (np.ndarray) – map of chunks

  • service_url (str) – URL of the TAP service

  • service (timewise.utils.StableTAPService) – custom TAP service, making sure that the TAP jobs are stable

  • active_tap_phases (set) – phases of TAP jobs that are still active

  • running_tap_phases (list) – phases of TAP jobs that are still running

  • done_tap_phases (set) – phases of TAP jobs that are done

  • query_types (list) – query types

  • table_names (pd.DataFrame) – map nice and program table names of WISE data tables

  • bands (list) – WISE bands

  • flux_key_ext (str) – key extension for flux keys

  • flux_density_key_ext (str) – key extension for flux density keys

  • mag_key_ext (str) – key extension for magnitude keys

  • luminosity_key_ext (str) – key extension for luminosity keys

  • error_key_ext (str) – key extension for error keys

  • band_plot_colors (dict) – plot colors for bands

  • photometry_table_keymap (dict) – keymap for photometry tables, listing the column names for flux, mag etc for the different WISE data tables

  • magnitude_zeropoints (dict) – magnitude zeropoints from here

  • constraints (list) – constraints for TAP queries selecting good datapoints as explained in the explanatory supplements

  • parent_wise_source_id_key – key for the WISE source ID in the parent sample

  • parent_sample_wise_skysep_key – key for the angular separation to the WISE source in the parent sample

__init__(base_name: str, parent_sample_class, min_sep_arcsec, n_chunks)[source]

Base class for WISE Data

Parameters:

  • base_name (str) – unique name to determine storage directories

  • parent_sample_class (ParentSample class) – class for parent sample

  • min_sep_arcsec (float) – query region around source for positional query

  • n_chunks (int) – number of chunks in declination

  • tap_url_cache_name (str) – TAP job URLs are stored here to be able to resume them

Methods

__init__(base_name, parent_sample_class, ...)

Base class for WISE Data

add_flux_densities_to_saved_lightcurves(service)

Adds flux densities to all downloaded lightcurves

add_flux_density(lightcurve, mag_key, ...[, ...])

Adds flux densities to a lightcurves

add_luminosity_to_saved_lightcurves(service)

Add luminosities to all lightcurves, calculated from flux densities and distance or redshift

bin_lightcurve(lightcurve)

Bins a lightcurve

calculate_metadata(service[, chunk_number, ...])

Calculates the metadata for all downloaded lightcurves.

calculate_metadata_single(lcs)

Calculates some properties of the lightcurves

calculate_position_mask(lightcurve, ra, dec, ...)

Estimated the 90th percentile of the angular separations from the given position.

dump_tap_cache()

find_color_correction(w1_minus_w2)

Find the color correction based on the W1-W2 color.

get_db_name(table_name[, nice])

Get the right table name

get_photometric_data([tables, perc, ...])

Load photometric data from the IRSA server for the matched sample.

get_position_mask(service, chunk_number)

Get the position mask for a chunk

get_unbinned_lightcurves(chunk_number[, clear])

Get the unbinned lightcurves for a given chunk number.

load_data_product(service[, chunk_number, ...])

Load data product from disk

load_tap_cache()

luminosity_from_flux_density(flux_density, band)

Converts a flux density into a luminosity

match_all_chunks([table_name, ...])

Match the parent sample to a WISE catalogue and add the result to the parent sample.

plot_lc(parent_sample_idx[, service, ...])

Make a pretty plot of a lightcurve

vegamag_to_flux_density(vegamag, band[, ...])

This converts the detector level brightness m in Mag_vega to a flux density F

Attributes

active_tap_phases

aperture_corrections

band_plot_colors

band_wavelengths

bands

chunk_map

constraints

done_tap_phases

error_key_ext

flux_density_key_ext

flux_key_ext

luminosity_key_ext

mag_key_ext

magnitude_zeropoints

magnitude_zeropoints_corrections

n_chunks

parent_sample

parent_sample_wise_skysep_key

parent_wise_source_id_key

photometry_table_keymap

query_types

running_tap_phases

service

service_url

table_names

tap_cache_filenames