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| author | Shivesh Mandalia <shivesh.mandalia@outlook.com> | 2020-02-29 00:09:17 +0000 |
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| committer | Shivesh Mandalia <shivesh.mandalia@outlook.com> | 2020-02-29 00:09:17 +0000 |
| commit | 11f42e98ae35d317a677ad711decc859a842d893 (patch) | |
| tree | 288f28fa9e563373c42c897967e3e81c1351e067 | |
| parent | de279d92b4766b0b8658576dc21bdcb061cc1697 (diff) | |
| download | GolemFlavor-11f42e98ae35d317a677ad711decc859a842d893.tar.gz GolemFlavor-11f42e98ae35d317a677ad711decc859a842d893.zip | |
Update README.md with GolemFlavor logo
| -rw-r--r-- | README.md | 9 |
1 files changed, 6 insertions, 3 deletions
@@ -3,6 +3,8 @@ GolemFlavor is a Python package for running an analysis pipeline using `GolemFit`. + + ## Installation GolemFlavor can be installed using `pip` ``` @@ -14,8 +16,8 @@ NumPy and SciPy. GolemFlavor uses the IceCube software [`GolemFit: The HESE fitter`](https://github.com/IceCubeOpenSource/GolemFit) to fit with IceCube HESE data. Current access is limited to IceCube collaborators. A simple -Gaussian likelihood can be used for test purposes if this requirement is -not found. +Gaussian likelihood can be used instead for test purposes if this requirement +is not found. ### Dependencies @@ -34,7 +36,8 @@ GolemFlavor has the following dependencies: You can use `pip` to install the above automatically. Note that `PyMultiNest` requires the `MultiNest` Bayesian inference library, see [the `PyMultiNest` -documentation for install instructions.](https://johannesbuchner.github.io/PyMultiNest/install.html#prerequisites-for-building-the-libraries) +documentation]](https://johannesbuchner.github.io/PyMultiNest/install.html#prerequisites-for-building-the-libraries) +for install instructions. Additional dependencies: * [`GolemFit`](https://github.com/IceCubeOpenSource/GolemFit) |