pyLIMA.microltoolbox

Created on Mon May 23 17:18:15 2016

@author: ebachelet

Module Contents

Functions

chichi(residuals_fn, fit_process_parameters) Return the chi^2 .
magnitude_to_flux(magnitude) Transform the injected magnitude to the the corresponding flux.
flux_to_magnitude(flux) Transform the injected flux to the the corresponding magnitude.
error_magnitude_to_error_flux(error_magnitude, flux) Transform the injected magnitude error to the the corresponding error in flux.
error_flux_to_error_magnitude(error_flux, flux) Transform the injected flux error to the the corresponding error in magnitude.
MCMC_compute_fs_g(fit, mcmc_chains) Compute the corresponding source flux fs and blending factor g corresponding to each mcmc
align_the_data_to_the_reference_telescope(fit, telescope_index=0, parameters=None) Align data to the telescope_index. Used to plot fit results. Ugly microlensing alignement….
pyLIMA.microltoolbox.MAGNITUDE_CONSTANT = 27.4[source]
pyLIMA.microltoolbox.chichi(residuals_fn, fit_process_parameters)[source]

Return the chi^2 .

Parameters:
  • residuals_fn (func) – a function which compute the residuals
  • fit_process_parameters (list) – the model parameters ingested by the correpsonding fitting routine.
Returns:

the chi^2
Return type:

float
pyLIMA.microltoolbox.magnitude_to_flux(magnitude)[source]

Transform the injected magnitude to the the corresponding flux.

Parameters:magnitude (array_like) – the magnitude you want to transform.
Returns:the transformed magnitude in flux unit
Return type:array_like
pyLIMA.microltoolbox.flux_to_magnitude(flux)[source]

Transform the injected flux to the the corresponding magnitude.

Parameters:flux (array_like) – the flux you want to transform.
Returns:the transformed magnitude
Return type:array_like
pyLIMA.microltoolbox.error_magnitude_to_error_flux(error_magnitude, flux)[source]

Transform the injected magnitude error to the the corresponding error in flux.

Parameters:
  • error_magnitude (array_like) – the magnitude errors measurements you want to transform.
  • flux (array_like) – the fluxes corresponding to these errors
Returns:

the transformed errors in flux units
Return type:

array_like
pyLIMA.microltoolbox.error_flux_to_error_magnitude(error_flux, flux)[source]

Transform the injected flux error to the the corresponding error in magnitude.

Parameters:
  • error_flux (array_like) – the flux errors measurements you want to transform.
  • flux (array_like) – the fluxes corresponding to these errors
Returns:

the transformed errors in magnitude
Return type:

array_like
pyLIMA.microltoolbox.MCMC_compute_fs_g(fit, mcmc_chains)[source]

Compute the corresponding source flux fs and blending factor g corresponding to each mcmc chain.

Parameters:
  • fit – a fit object. See the microlfits for more details.
  • mcmc_chains – a numpy array representing the mcmc chains.
Returns:

a numpy array containing the corresponding fluxes parameters
Return type:

array_type
pyLIMA.microltoolbox.align_the_data_to_the_reference_telescope(fit, telescope_index=0, parameters=None)[source]

Align data to the telescope_index. Used to plot fit results. Ugly microlensing alignement….

Parameters:
  • fit (object) – a microlfits object
  • telescope_index (int) – the reference telescope
Returns:

the aligned to survey lightcurve in magnitude
Return type:

array_like