Comments (3)
jpivarski
commented on June 14, 2024
This is actually an issue in uproot-methods, since it deals with physics calculations. I've opened a PR on that repo: scikit-hep/uproot3-methods#43, but I'm not entirely sure if this fixes the problem because I don't have good test cases. (When I make up values of 4-vectors, I get NaN because they weren't realistic 4-vectors that are within light cones.)
Could you give that a test? Thanks!
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beojan
commented on June 14, 2024
You could use setptetaphim to generate four vectors
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jpivarski
commented on June 14, 2024
I used TLorentzVectorArray.from_ptetaphim, but I didn't think too hard about the numbers I put in it.
If I don't hear from you today about the correctness of the calculation, I'll take that pull request and leave everything else the same.
(The pull request itself fixes an issue unrelated to the calculation of boost: it's that TLorentzVectors, projected to TVector3s, incorrectly kept their identities as TLorentzVectors and then there was an attempt to add some TVector3s and some supposed TLorentzVectors, which would be wrong if that's what they actually were.)
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Related Issues (20)
- dynamically created methods are confusing for users HOT 1
- Achieve masking HOT 8
- AssertionError when Table is part of a list HOT 5
- Potential bug with subsequent masking HOT 2
- Reduction of empty elements HOT 2
- TLorentzVectorArray yields different values depending on masking order HOT 4
- IndexError when masking empty jaggedArray made from offsets HOT 1
- awkward method names HOT 9
- TypeError when using array.mean(weights) HOT 2
- Cyclic array? HOT 1
- broken link in readme HOT 1
- Installing awkward-numba in usermode breaks awkward HOT 3
- Syntax warning due to comparison of literals using is in Python 3.8 HOT 1
- Inconsistent Filesizes with .awkd Files HOT 6
- Bug in string comparison in StringArray HOT 1
- mean, std fail on ChunkedArrays HOT 1
- AttributeError when trying to read a particular format of awkward array HOT 5
- JaggedArray.fromiter() functions fails for python lists HOT 2
- Small detail; broadcasting seems to work a little different to what is implied in the documentation. HOT 6
- Accumulate numpy arrays inside the loop HOT 1
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