Publications (25)
Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming
Adam Paszke, Daniel Johnson, David Duvenaud +5
We present a novel programming language design that attempts to combine the clarity and safety of high-level functional languages with the efficiency and parallelism of low-level n…
Software-based Automatic Differentiation is Flawed
Daniel Johnson, Trevor Maxfield, Yongxu Jin +1
Various software efforts embrace the idea that object oriented programming enables a convenient implementation of the chain rule, facilitating so-called automatic differentiation v…
Report of the Topical Group on Physics Beyond the Standard Model at Energy Frontier for Snowmass 2021
Tulika Bose, Antonio Boveia, Caterina Doglioni +318
This is the Snowmass2021 Energy Frontier (EF) Beyond the Standard Model (BSM) report. It combines the EF topical group reports of EF08 (Model-specific explorations), EF09 (More gen…
Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers
Adam Rebei, E. A. Huerta, Sibo Wang +4
We determine the mass-ratio, eccentricity and binary inclination angles that maximize the contribution of the higher-order waveform multipoles $(\ell, \, |m|)= \{(2,\,2),\, (2,\,1)…
LHCb future dark-sector sensitivity projections for Snowmass 2021
Daniel Craik, Phil Ilten, Daniel Johnson +1
We provide future LHCb dark-sector sensitivity projections for use in the Snowmass reports. These include updated projections for dark photons and the Higgs portal, along with new…
CODEX-b: Opening New Windows to the Long-Lived Particle Frontier at the LHC
Giulio Aielli, Juliette Alimena, Saul Balcarcel-Salazar +50
This document is written as a contribution to the European Strategy of Particle Physics (ESPP) update. We offer a detailed overview of current developments and future directions fo…
Exotic Hadrons at LHCb
Daniel Johnson, Ivan Polyakov, Tomasz Skwarnicki +1
It has been five years since the data sample from the LHCb detector, the first experiment optimized for heavy-flavor physics studies at a hadronic collider, was completed. These da…
An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated Driving
Michael A. Gerber, Ronald Schroeter, Daniel Johnson +4
This paper reports results from a high-fidelity driving simulator study (N=215) about a head-up display (HUD) that conveys a conditional automated vehicle's dynamic "uncertainty" a…
Addressing Discontinuous Root-Finding for Subsequent Differentiability in Machine Learning, Inverse Problems, and Control
Daniel Johnson, Ronald Fedkiw
There are many physical processes that have inherent discontinuities in their mathematical formulations. This paper is motivated by the specific case of collisions between two rigi…
Foreground biases in strong gravitational lensing
Daniel Johnson, Pierre Fleury, Julien Larena +1
Strong gravitational lensing is a competitive tool to probe the dark matter and energy content of the Universe. However, significant uncertainties can arise from the choice of lens…
Degeneracies and modelling choices in double-plane time-delay cosmography
Daniel Johnson, Pierre Fleury, Martin Millon
Double-plane gravitational lensing is a rare but increasingly observed phenomenon in which the light from a distant source is lensed by two foreground objects at different redshift…
Review of opportunities for new long-lived particle triggers in Run 3 of the Large Hadron Collider
Juliette Alimena, James Beacham, Freya Blekman +75
Long-lived particles (LLPs) are highly motivated signals of physics Beyond the Standard Model (BSM) with great discovery potential and unique experimental challenges. The LLP searc…
Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and post-process numerical relativity simulations
Daniel Johnson, E. A. Huerta, Roland Haas
Numerical simulations of Einstein's field equations provide unique insights into the physics of compact objects moving at relativistic speeds, and which are driven by strong gravit…
Eccentric, nonspinning, inspiral, Gaussian-process merger approximant for the detection and characterization of eccentric binary black hole mergers
E. A. Huerta, C. J. Moore, Prayush Kumar +10
We present , a time domain, inspiral-merger-ringdown waveform model that describes non-spinning binary black holes systems that evolve on moderately eccentric orbi…
Towards a Unified Naming Scheme for Thermo-Active Soft Actuators: A Review of Materials, Working Principles, and Applications
Trevor Exley, Emilly Hays, Daniel Johnson +3
Soft robotics is a rapidly growing field that spans the fields of chemistry, materials science, and engineering. Due to the diverse background of the field, there have been contras…
Electroweak physics and QCD at LHCb
Daniel Johnson
Data collected by the LHCb experiment allow proton structure functions to be probed in a kinematic region beyond the reach of other experiments, both at the LHC and further afield.…
Cosmology with the line-of-sight shear of strong gravitational lenses
Pierre Fleury, Daniel Johnson, Théo Duboscq +2
Stage-IV photometric galaxy surveys are designed to measure the position and shapes of billions of galaxies. Their aim is to characterise the large-scale distribution of matter in…
Technical design report for the CODEX- demonstrator
b collaboration, Giulio Aielli, Juliette Alimena +56
The CODEX- apparatus is a demonstrator for the proposed future CODEX-b experiment, a long-lived-particle detector foreseen for operation at IP8 during HL-LHC data-taking. The d…
snompy: a package for modelling scattering-type scanning near-field optical microscopy
Tom Vincent, Xinyun Liu, Daniel Johnson +5
Scattering-type scanning near-field optical microscopy (s-SNOM) is a powerful technique for extreme subwavelength imaging and spectroscopy, with around 20 nm spatial resolution. Bu…
The Road Ahead for CODEX-b
Giulio Aielli, Juliette Alimena, James Beacham +36
In this Snowmass contribution we present a comprehensive status update on the progress and plans for the proposed CODEX-b detector, intended to search for long-lived particles beyo…
Improved Self-cleaning Properties of an Efficient and Easy to Scale up TiO2 Thin Films Prepared by Adsorptive Self-Assembly
Rima J. Isaifan, Ayman Samara, Wafa Suwaileh +4
Transparent titania coatings have self-cleaning and anti-reflection properties (AR) that are of great importance to minimize soiling effect on photovoltaic modules. In this work, T…
A Library for Representing Python Programs as Graphs for Machine Learning
David Bieber, Kensen Shi, Petros Maniatis +4
Graph representations of programs are commonly a central element of machine learning for code research. We introduce an open source Python library python_graphs that applies static…
Physics of eccentric binary black hole mergers: A numerical relativity perspective
E. A. Huerta, Roland Haas, Sarah Habib +9
Gravitational wave observations of eccentric binary black hole mergers will provide unequivocal evidence for the formation of these systems through dynamical assembly in dense stel…
FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost
Chenhao Feng, Haoli Zhang, Shakhzod Ali-Zade +17
Modern industrial Deep Learning Recommendation Models typically extract user preferences through the analysis of sequential interaction histories, subsequently generating predictio…
Line-of-sight effects on double source plane lenses
Daniel Johnson, Thomas Collett, Tian Li +1
Weak gravitational lensing perturbations have a non-negligible impact on strong lensing observables, and several degeneracies exist between the properties of the main lens, line of…