Releases: amerand/PMOIRED
Releases · amerand/PMOIRED
v1.3.12
- possibility to plot several models with different colors and labels (modelNames=[...], modelColors=[...] in oi.show)
- oi.show(avgData=True) to average data in the same spectral mode
- oi.fromTemplate(model=) to generate data with same noise and given parametric model
- computation and display of uncertainties in SED ("errSed=True" in oi.show)
- adding SATLAS models for stellar limb darkening (see alpha Cen example)
- "avgGravityPola()" to get weighted-average polarisations
- lorentzian spatial kernel
- adding NV2 for normalised V2 (in addition to N|V|)
- improved labels in plots
- many bug fixes
version 1.3.2
features:
- bandwidth smearing
- spatial kernel, global or for components
- transfer function
- keeping tracks for plots and figures in oi._dataAxes, oi._dataFig (also for "model", "boot")
graphical tweaks:
- better 2D histograms for bootstrap: control density and better color map
- "b/wl" now as "B/$\lambda$" and with units (thanks Issy!)
bugs:
- baseline and MJD selection was not working properly for multiple ranges
- adapted to leastsquare fit output change for scipy>1.15
version 1.3.0
- formalism for simplified correlations in data: use syntax like
'correlations':{'V2':0.8}in setupFit - new model: gaussian ring (same as ring, with
fwhminandfwhmoutparameters: inner and outer full width at half maximum, in mas) - possibility to convolve model(s) with gaussian kernel using
spatial kernelparameters (global or per components) - adding filtering in Baseline length and MJD with
baseline rangesandMJD rangesin setupFit (same aswl ranges, list of (min,max) tuples) - adding self-calibration feature (fit also transfer function): still experimental!
- some cleaning to get rid of deprecated dependencies in scipy.signal, np.float_ etc.
- many small bug fixes
cleanup and removing examples
- first cleanup of the code by Tiago
- removing examples and tutorials, moved to separated repository https://github.com/amerand/PMOIRED_examples
1.1
Stable release
First stable release for python>=3.10, with up to date installation scheme