activity
20182026
most citedCYGNUS: Feasibility of a nuclear recoil observatory with directional sensitivity to dark matter and neutrinos

53 citations · 72 across the 10 of their papers we have counts for

collaborators

11 papers

hep-ex2026

Expected Sensitivity of the Light Dark Matter eXperiment to Long-Lived Dark Photons and Axion-Like Particles

Torsten Akesson, Clay Barton, Charles Bell +53

The Light Dark Matter eXperiment (LDMX) is an electron-beam fixed-target experiment primarily designed to achieve world-leading, model-independent sensitivity to sub-GeV dark matte…

hep-ex2025

LDMX -- The Light Dark Matter eXperiment

Torsten Akesson, Layan Alsaraya, Stephen Appert +116

The Light Dark Matter eXperiment (LDMX) is an electron fixed-target experiment optimized to search for sub-GeV dark matter production through the missing momentum signature. LDMX i…

physics.ins-det2025

Angular Resolution of Electrons in Gaseous Targets

Majd Ghrear, Sven E. Vahsen

Low-energy electron recoils are of interest in several planned and proposed future nuclear and particle physics experiments. The topology and directions of such recoils provide imp…

physics.ins-det2024

A Comparison of Micromegas with x/y Strip Charge Readouts for Directional Recoil Detection

Majd Ghrear, Alasdair G. McLean, Hima B. Korandla +3

Detecting the topology and direction of low-energy nuclear and electronic recoils is broadly desirable in nuclear and particle physics, with applications in coherent elastic neutri…

hep-ph2024★ 4 cited

CYGS: Detecting solar neutrinos with directional gas time projection chambers

Chiara Lisotti, Ciaran A. J. O'Hare, Elisabetta Baracchini +8

CYGNUS is a proposed global network of large-scale gas time projection chambers (TPCs) with the capability of directionally detecting nuclear and electron recoils at keV e…

physics.data-an2024

Deep Probabilistic Direction Prediction in 3D with Applications to Directional Dark Matter Detectors

Majd Ghrear, Peter Sadowski, Sven Einar Vahsen

We present the first method to probabilistically predict 3D direction in a deep neural network model. The probabilistic predictions are modeled as a heteroscedastic von Mises-Fishe…

physics.ins-det2022★ 2 cited

Deep learning for improved keV-scale recoil identification in high resolution gas time projection chambers

J. Schueler, M. Ghrear, S. E. Vahsen +2

Recoil-imaging gaseous time projection chambers (TPCs) with directional sensitivity are attractive for dark matter (DM) searches. Detectors capable of reconstructing 3D nuclear rec…

physics.ins-det2022★ 7 cited

Recoil imaging for directional detection of dark matter, neutrinos, and physics beyond the Standard Model

C. A. J. O'Hare, D. Loomba, K. Altenmüller +164

Recoil imaging entails the detection of spatially resolved ionization tracks generated by particle interactions. This is a highly sought-after capability in many classes of detecto…

physics.ins-det2020★ 5 cited

Observables for Recoil Identification in High-Definition Gas Time Projection Chambers

Majd Ghrear, Sven E. Vahsen, Cosmin Deaconu

Directional detection of nuclear recoils is broadly desirable in nuclear and particle physics. At low recoil energies, this capability may be used to confirm the cosmological origi…

physics.ins-det2020★ 53 cited

CYGNUS: Feasibility of a nuclear recoil observatory with directional sensitivity to dark matter and neutrinos

S. E. Vahsen, C. A. J. O'Hare, W. A. Lynch +16

Now that conventional weakly interacting massive particle (WIMP) dark matter searches are approaching the neutrino floor, there has been a resurgence of interest in detectors with…

quant-ph2018★ 1 cited

Edge Modes and Teleportation in a Topologically Insulating Quantum Wire

Majd Ghrear, Brie Mackovic, Gordon W. Semenoff

We find a simple model of an insulating state of a quantum wire which has a single isolated edge mode. We argue that, when brought to proximity, the edge modes on independent wires…