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# HighPT
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`HighPT` (pronounced /haɪpt/) is a `Mathematica` package for the analysis of data from high-energy semileptonic transitions at hadron colliders. It allows to compute high-$p_T$ tail observables for semileptonic processes, i.e. Drell-Yan cross sections, for dilepton and monolepton final states, at the LHC.
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`HighPT` (pronounced /haɪpt/) is a `Mathematica` package for the analysis of high-energy semileptonic transitions at hadron colliders. It allows to compute high-$p_T$ tail observables for semileptonic processes, i.e. Drell-Yan cross sections, for dilepton and monolepton final states at the LHC.
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The `HighPT` code is publicly available in the GitHub repository: [https://github.com/HighPT/HighPT](https://github.com/HighPT/HighPT)
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## Models
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`HighPT` can calculate the high-$p_T$ observables either within the Standard Model Effective Field Theory (SMEFT) or in explicit New Physics (NP) models, which allows for an assesment of a wide range of NP scenarios.
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`HighPT` can calculate the high-$p_T$ observables either within the Standard Model Effective Field Theory(SMEFT) or in explicit New Physics(NP) models, which allows for an assesment of a wide range of NP scenarios.
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*### SMEFT
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In the SMEFT observables can be computed at tree level, including the relevant energy-enhanced operators up to mass-dimension eight. This allows for a consistent description of the cross section including terms of $\mathcal{O}(\Lambda^{−4})$ in the EFT cutoff scale $\Lambda$.
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In the SMEFT observables can be computed at tree level, including the relevant energy-enhanced operators up to mass-dimension eight. This allows for a consistent description of the cross section including terms of $\mathcal{O}(\Lambda^{−4})$ in the EFT cutoff scale$\Lambda$.
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*### NP models
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In explicit BSM theories with new tree-level mediators, that can be resolved at LHC energies, observables can be computed including the full propagation effects of these new particles. The list of all currently impleneted mediators and their available masses can be found [here](./mediators.html).
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## Functionalities
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The `HighPT` code allows to compute observables related to high-$p_T$ Drell-Yan tails at the LHC. The main routines are:
*`EventYield` computes NP event yields for the recasted [experimental searches](./searches.html).
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*`ChiSquareLHC` computes $\chi^2$ likelihoods for NP in the recasted [experimental searches](./searches.html).
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*`ChiSquareLHC` computes $\chi^2$likelihoods for NP in the recasted [experimental searches](./searches.html).
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Further functionalities include the option to redefine the alignment of mass and flavor basis for quarks, i.e. to redefine the CKM matrix, and to possibility to translate the results obtained by `HighPT` in `Mathematica` to a `python` file using the [`WCxf` format](https://wcxf.github.io).
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Further functionalities include the option to redefine the alignment of the mass and flavor basis for quarksand the possibility to translate the results obtained by `HighPT` in `Mathematica` to a `python` file using the [`WCxf` format](https://wcxf.github.io).
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## Open source
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`HighPT` is an open source software. If you find a bug, have a question, or are looking for further features, please have a look at our [issue page](https://github.com/HighPT/HighPT/issues) in the GitHub repositors where you can open a new topic. If you want to contribute to `HighPT` please feels free to open a pull request.
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`HighPT` is an open source software. If you find a bug, have a question, or are looking for further features, please have a look at our [issue page](https://github.com/HighPT/HighPT/issues) in the GitHub repositors where you can open a new topic. If you want to contribute to `HighPT` please feel free to open a pull request.
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