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jaxbind_pypi
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20
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clean_experiments
code_formatter
fast-resolve-multi-gpu
fast-resolve_cal
fast-resolve_new
feature/mf_img
filament_playground
improve_fits_interface
jax-resolve
jax_finufft
jaxbind_pypi
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mf_imaging_scripts
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multi_resolve
nans_in_varcov_lh
pol_cal
pol_cal_jr
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Added minisanity routine
fast-resolve_cal
fast-resolve_cal
Changed model vis type comparison to jnp.ndarray
Added overview print statements
Restructured for clear overview; Adding of random drawn latent parameters to initial sample in calibration step
Added further functionality to CalibrationAssembler
Scaled operator is now used to set the actual calibration operator in the CalibrationAssembler class
Restructure to include new dataclasses in sugar.py
removed observation generator from misc
Direct input of psf_pixel instead over readout of configparser object
Added fast-resolve routine with calibration step before imaging
Moved observation generator to jax port test directory
Added tests for jax ports
Removed ScaledCop and integrate it into CalibrationAssembler, Added SkyAssembler
Expanded build_exact_r to include calibration solution and InterferometryResponse parameters
Added dataclass CalibrationAssembler
Changed semantics of input arguments for likelihoods
Fixed init call of ScaledCalibrationOperator
Remove circular import dependency
Added model for CalibrationDistribution scaled by a inferable scalar operator
Added missing zero to n_psf_pix in line 143
Added missing zero to n_psf_pix in line 143
fast-resolve_new
fast-resolve_new
Removed cases in accordance with used likelihood models
Contracted cases for given calibration solution to one model
Edited key template formatting
Added call to specific models into creation function for the likelihoods
Seperated models to remove if statements in call method
Removed likelihood models from direct access as they are not intended for independent use
Introduced possibility of labels for likelihoods, when multiple dataset are used as input
Added method to extract correlated field maker
Removed evaluation functionality because of slicing problems
Bulk_CF_AntennaTimeDomain is child of jft.Model now
Fixed output shape problem with vmap
Imported correct "Partial" function from jax.tree_utils
Converted np.arrays from observations to jnp.arrays
Removed numpy typing
Replaced for loops in CalibrationInterpolator with vmap.
Replaced model functionality with optimized VModel
Restructed output of fields and powerspectra evaluation for clarification
Tidied up joining of init methods of Bulk_CF model
Added docstring and typing for likelihood_models.py
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