If the list of analysed/saved physical properties is left empty in pcigale.ini, savefluxes saved all physical properties. This has been moved to the Configuration class and easily extended to the pdf_analysis module.

When the redshifts are not indicated in pcigale.ini, compute them from the input flux file when the configuration dictionary is returned rather than in the analysis module, which should not have to change the configuration.

Simplify the interface of the analysis modules as it is needlessly restrictive by forcing a precise list of parameters. Different modules do not necessarily need the same information and the need for different input parameters may emerge in the future. To make the interface future-proof, we simply pass the file containing the configuration file. Then each analysis module picks the data it needs from it.

Implement an _init_code function so the initialisation of the module is separated from the processing of the SED. Because the initialisation can be slow, this should yield a speed-up when applying the module on different SED.

Clarify the description of the module parameters to ensure that the time grid is correctly formatted and add a test to ensure this.

Be more resilient by converting the array of SFR to float. This avoids a possible crash down the road when doing an in-place assignment of an integer with a float.

In the sfhfromfile module, an extraneous offset in the column index made that it took the previous column as the SFR rather than the selected column.

Better handle the case where one of the redshift is 0 to correct the physical properties for a possible offset between the observed and the model redshifts.

Correct the mass-dependent physical quantities for the difference between the redshift of the model and the redshift of the observation. Because the former is rounded to 2 decimal places, there can be a redshift difference of 0.005 (if CIGALE computes the list of redshifts itself). This can lead to differences of more than 0.35 dex at z=0.01 for instance.

Move most of the computation to _init_code() to make the sfhdelayed module consister with other modules.

We need to start the age grid at 0 rather than 1. Otherwise when we do not normalise the SFH, the scale would be wrong, with the SFR at the first time step being sfr0×exp(-1/tau_main) rather than sfr0.

Normalise the attenuation curves so that their E(B-V) corresponds to the E(B-V) requested by the user.

Merge the output files into one. The parameters estimated from the PDF are prefixed with 'bayes' and those from the best fit with 'best'.

In the presence of upper limits, correct the scaling factor of the models to the observations before computing the χ², not after.

When stripping the _log suffix of a variable names, let's just remove the last four characters instead of relying on strip(), which can have nasty side effects.

When estimating a parameter in log, these were not scaled appropriately and taken in log when saving the related PDF

When estimating a parameter in log, these were not scaled appropriately and taken in log when saving the related χ²

Version 0.8.1

Médéric Boquien authored Dec 07, 2015 and Yannick Roehlly committed Dec 07, 2015

The detection of the '_log' suffix in variables and its removal to compute the models was overzealous. Fix this.

Revert the commit to re-apply it using git-flow hotfix.

This reverts commit d8fab1df.

Assign the fluxes to the correct array. For some reason I was sure I corrected that before committing the changes last Friday.

The detection of the '_log' suffix in variables and its removal to compute the models was overzealous. Fix this.

Introduce the possibility of saving only specific output parameters with savefluxes. This should accelerate the computation while reducing memory usage.

CIGALE discards the negative fluxes.  We must reverse the pseudo filters
used for absorption line indices to produce positive fluxes.

Get rid of the array containing the redshifts of all the models. Now that we infer the redshift of individual models from the list of unique redshifts it is not needed anymore. This change saves 8 bytes per model. The code should be marginally faster too.

Version 0.8.0