timewise.wise_data_by_visit.WiseDataByVisit

class timewise.wise_data_by_visit.WiseDataByVisit(base_name, parent_sample_class, min_sep_arcsec, n_chunks, clean_outliers_when_binning=True, multiply_flux_error=True)

WISEData class to bin lightcurve by visits. The visits typically consist of some tens of observations. The individual visits are separated by about six months. The mean flux for one visit is calculated by the weighted mean of the data. The error on that mean is calculated by the root-mean-squared and corrected by the t-value. Outliers per visit are identified if they are more than 20 times the rms away from the mean. In addition to the attributes of timewise.WISEDataBase this class has the following attributes:

Parameters:

• clean_outliers_when_binning (bool) – whether to remove outliers by brightness when binning

• mean_key (str) – the key for the mean

• median_key (str) – the key for the median

• rms_key (str) – the key for the rms

• upper_limit_key (str) – the key for the upper limit

• Npoints_key (str) – the key for the number of points

• zeropoint_key_ext (str) – the key for the zeropoint

__init__(base_name, parent_sample_class, min_sep_arcsec, n_chunks, clean_outliers_when_binning=True, multiply_flux_error=True)

Constructor of the WISEDataByVisit class.

Parameters:

• base_name (str) – the base name of the data directory

• parent_sample_class (ParentSampleBase) – the parent sample class

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

• n_chunks (int) – number of chunks to split the sample into

• clean_outliers_when_binning (bool) – if True, clean outliers when binning

Methods

__init__(base_name, parent_sample_class, ...)	Constructor of the WISEDataByVisit class.
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)	Combine the data by visits of the satellite of one region in the sky.
calculate_epochs(f, e, visit_mask, counts, ...)	Calculates the binned epochs of a lightcurve.
calculate_metadata(service[, chunk_number, ...])	Calculates the metadata for all downloaded lightcurves.
calculate_metadata_single(lc)	Calculates some metadata, describing the variability of the lightcurves.
calculate_position_mask(lightcurve, ra, dec, ...)	Estimated the 90th percentile of the angular separations from the given position.
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, wait, ...])	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.
get_visit_map(lightcurve)	Create a map datapoint to visit
load_data_product(service[, chunk_number, ...])	Load data product from disk
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_diagnostic_binning(service, ind[, ...])	Show a skymap of the single detections and which bin they belong to next to the binned lightcurve
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

Npoints_key
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_error_factor
flux_key_ext
luminosity_key_ext
mag_key_ext
magnitude_zeropoints
magnitude_zeropoints_corrections
mean_key
median_key
n_chunks
parent_sample
parent_sample_wise_skysep_key
parent_wise_source_id_key
photometry_table_keymap
query_types
rms_key
running_tap_phases
service
service_url
table_names
upper_limit_key
zeropoint_key_ext