actsnclass.LightCurve

class actsnclass.LightCurve

Light Curve object, holding meta and photometric data.

Variables:

  • bazin_features_names (list) – List of names of the Bazin function parameters.

  • bazin_features (list) – List with the 5 best-fit Bazin parameters in all filters. Concatenated from blue to red.

  • dataset_name (str) – Name of the survey or data set being analyzed.

  • filters (list) – List of broad band filters.

  • id (int) – SN identification number

  • photometry (pd.DataFrame) – Photometry information. Keys –> [mjd, band, flux, fluxerr, SNR, MAG, MAGERR].

  • redshift (float) – Redshift

  • sample (str) – Original sample to which this light curve is assigned

  • sim_peakmag (np.array) – Simulated peak magnitude in each filter

  • sncode (int) – Number identifying the SN model used in the simulation

  • sntype (str) – General classification, possibilities are: Ia, II or Ibc

check_queryable(mjd: float, r_lim: float)

Check if this light can be queried in a given day.

load_snpcc_lc(path_to_data: str)

Reads header and photometric information for 1 light curve

fit_bazin(band: str) → list

Calculates best-fit parameters from the Bazin function in 1 filter

fit_bazin_all()

Calculates best-fit parameters from the Bazin func for all filters

plot_bazin_fit(save: bool, show: bool, output_file: srt)

Plot photometric points and Bazin fitted curve

Examples

>>> from actsnclass import LightCurve

define path to light curve file

>>> path_to_lc = 'data/SIMGEN_PUBLIC_DES/DES_SN431546.DAT'

>>> lc = LightCurve()                        # create light curve instance
>>> lc.load_snpcc_lc(path_to_lc)             # read data
>>> lc.photometry                            # display photometry
          mjd band     flux  fluxerr   SNR
0   56207.188    g   9.6560    4.369  2.21
1   56207.195    r   6.3370    3.461  1.83
...        ...  ...      ...      ...   ...
96  56336.043    r  14.4300    3.098  4.66
97  56336.055    i  18.9500    5.029  3.77
[98 rows x 5 columns]

>>> lc.fit_bazin_all()                  # perform Bazin fit in all filters
>>> lc.bazin_features                   # display Bazin parameters
[62.0677260096896, -7.959383808822104, 47.37511467606875, 37.4919069623379,
... ... ...
206.65806244385922, -4.777010246622081]

plot light curve fit

>>> lc.plot_bazin_fit(output_file=str(lc.id) + '.png')

for fitting the entire sample…

>>> path_to_data_dir = 'data/SIMGEN_PUBLIC_DES/'     # raw data directory
>>> output_file = 'results/Bazin.dat'       # output file
>>> fit_snpcc_bazin(path_to_data_dir=path_to_data_dir, features_file=output_file)

a file with all Bazin fits for this data set was produced

__init__()

Methods

__init__()

check_queryable(mjd, r_lim)

Check if this light can be queried in a given day.

fit_bazin(band)

Extract Bazin features for one filter.

fit_bazin_all()

Perform Bazin fit for all filters independently and concatenate results.

load_snpcc_lc(path_to_data)

Reads one LC from SNPCC data.

plot_bazin_fit([save, show, output_file])

Plot data and Bazin fitted function.