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icecube
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skyllh
Home Page:
https://icecube.github.io/skyllh/
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Stargazers:
11
Watchers:
19
Issues:
128
Forks:
5
icecube/skyllh Issues
Fix in poissonian # of signal events generated for Public Data
Closed
3 months ago
Yield values when using multiple cores
Updated
4 months ago
Comments count
1
Error in __str__ method of tdm after calculating source data fields
Updated
4 months ago
error using NTv5p2 in stacking
Closed
5 months ago
Add weights to the SourceModel class __str__
Updated
5 months ago
Comments count
1
TypeError when instantiating an empty ParameterGridSet
Closed
5 months ago
Docstring correction for the __init__ instance of the PointLikeSourceI3DetSigYield class in /skyllh/i3/detsigyield.py
Closed
6 months ago
`ParameterGrid` enhancement
Updated
6 months ago
Comments count
1
Fix `change_source()` method call performance.
Closed
6 months ago
Docstring correction for __init__ instance of the PDDataBackgroundI3EnergyPDF
Closed
6 months ago
Implement stacked point-source analysis with public data
Updated
6 months ago
Outdated doc-strings
Updated
8 months ago
Add guidlines to the docs for the development process
Closed
8 months ago
Add background generation method CompositeMCDataSamplingBkgGenMethod
Closed
9 months ago
Add dedicated RSS argument for the minimizer to the do_trial method
Closed
9 months ago
maximun number of bkg trials should not be hard coded
Updated
9 months ago
Comments count
1
need parenthesis to make iterable for tuple function
Closed
9 months ago
Comments count
2
Public data signal generation with Poisson=False does not always match the exact signal_ns number
Closed
10 months ago
Comments count
2
Add `add_aux_data` method to DatasetCollection class
Closed
10 months ago
Rotation of MC events for signal event generation does not preserve relative declination difference between true and reco directions
Closed
10 months ago
Add required tool version specification
Closed
10 months ago
Generated signal events might be out of PDF range
Closed
10 months ago
Comments count
1
Document EM maximization method in user_manual.tex
Updated
10 months ago
Add option to calculate errors on the fit params assuming Wilks' theorem.
Updated
10 months ago
Implement own version of numpy.random.choice for better performance
Closed
a year ago
Use np.cumsum with dtype=np.float64
Closed
a year ago
Add option `dtc_except_fields`
Closed
a year ago
Introduce fix_gamma option to have the gamma parameter fixed
Updated
a year ago
Allow instance of Livetime for livetime property
Updated
a year ago
Automatically download the data samples
Closed
a year ago
Comments count
1
Implement __getitem__ for DatasetCollection
Closed
a year ago
Simplify dataset definition by reusing the `PublicData_10y_ps` dataset
Closed
a year ago
Requires large chunk of memory when having many sources
Updated
a year ago
Comments count
2
Lots of arguments are missing in the argument parser.
Closed
a year ago
Comments count
1
Rename BackgroundGeneratorBase to BackgroundGenerator
Closed
a year ago
Store a local copy of the CFG dictionary inside the Analysis class
Closed
a year ago
Pass the Dataset instance as argument
Closed
a year ago
Rename method into map_param
Closed
a year ago
Implement core.llh module with LLH base class for a log-likelihood function
Updated
a year ago
Use tqdm package for progress bars
Closed
a year ago
Comments count
1
Make `initialize_for_new_trial` method abstract and implement in derived classes with calls to `assert_is_valid_for_trial_data` of the PDF instances
Closed
a year ago
Lengths of pd and times do not match
Closed
a year ago
Speed up initial analysis setup
Closed
a year ago
Comments count
3
`PDSignalGenerator` does not support multiple sources
Closed
a year ago
Comments count
2
Update import of the `create_analysis` method
Closed
a year ago
Comments count
1
Add option to declare if the data should be stored within the event array of the TDM or within the DataField instance
Updated
a year ago
Split and rename to time integrated and time dependant
Closed
a year ago
Comments count
1
ValueError: The cumulative sum of the true energy probability is not monotonically increasing! Values of the cumsum are [0. 0.04514964 0.23739487 0.51615731 0.73989165 0.85946367
Closed
a year ago
Comments count
1
Move this class definition to a new file
Closed
a year ago
Comments count
1
Clean this up
Closed
a year ago
Comments count
4
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