sebastianmacaluso Goto Github PK
Name: Sebastian Macaluso
Type: User
Name: Sebastian Macaluso
Type: User
Themes for your IPython Notebook
Deep learning and computer vision techniques to identify jet substructure from proton-proton collisions at the Large Hadron Collider
Python package for the EnergyFlow suite of tools.
Notes on Ginkgo
Mining gold from various simulators for better likelihood-free inference
Institute for Research and Innovation in Software for High Energy Physics
Implementation of JUNIPR from arXiv:1804.09720
Jekyll port of One Page Wonder
We derive the latest constraints on various simplified models of natural SUSY with light higgsinos, stops and gluinos, using a detailed and comprehensive reinterpretation of the most recent 13 TeV ATLAS and CMS searches with ∼ 15 fb−1 of data. We discuss the implications of these constraints for fine-tuning of the electroweak scale. While the most “vanilla” version of SUSY (the MSSM with Rparity and flavor-degenerate sfermions) with 10% fine-tuning is ruled out by the current constraints, models with decoupled valence squarks or reduced missing energy can still be fully natural. However, in all of these models, the mediation scale must be extremely low (< 100 TeV). We conclude by considering the prospects for the high-luminosity LHC era, where we expect the current limits on particle masses to improve by up to ∼ 1 TeV, and discuss further model-building directions for natural SUSY that are motivated by this work.
Recursive Neural Network implementation for jet physics in TensorFlow
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Semantic Scholar's Author Disambiguation Algorithm & Evaluation Suite
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Design and optimization of a set of cuts on variables that lead to discovery sensitivities on supersymmetric top quark production events in the compressed limit at Run II of the Large Hadron Collider. This involved simulation and analysis of signal and background events. This analysis was implemented on experimental data by members of the ATLAS collaboration at Harvard University producing results exactly as expected.
Collection of slides from selected recent talks
Recursive Neural Network implementation for jet physics for GPU batch training with PyTorch.
Variational Inference with the Trellis
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.