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The CYGNO collaboration is developing a novel strategy for directional Dark Matter searches based on a gaseous Time Projection Chamber (TPC). The detector is optimized for the exploration of light (0.5-50 GeV) WIMPs-like particles and…

The CYGNO project aims at the development of a high precision optical readout gaseous Tima Projection Chamber (TPC) for directional dark matter (DM) searches, to be hosted at Laboratori Nazionali del Gran Sasso (LNGS). CYGNO employs a…

The CYGNO project has the goal to use a gaseous TPC with optical readout to detect dark matter and solar neutrinos with low energy threshold and directionality. The CYGNO demonstrator will consist of 1 m 3 volume filled with He:CF 4 gas…

Optical-readout Time Projection Chambers (TPCs) produce megapixel-scale images whose fine-grained topological information is essential for rare-event searches, but whose size challenges real-time data selection. We present an unsupervised,…

The CYGNO experiment is developing a high-resolution gaseous Time Projection Chamber with optical readout for directional dark matter searches. The detector uses a helium-tetrafluoromethane (He:CF$_4$ 60:40) gas mixture at atmospheric…

The XENON1T experiment uses a time projection chamber (TPC) with liquid Xenon to search for Weakly Interacting Massive Particles (WIMPs), a proposed Dark Matter particle, via direct detection. As this experiment relies on capturing rare…

High Energy Physics - Phenomenology · Physics 2020-08-03 Charanjit K. Khosa , Lucy Mars , Joel Richards , Veronica Sanz

The aim of the CYGNO project is the construction and operation of a 1~m$^3$ gas TPC for directional dark matter searches and coherent neutrino scattering measurements, as a prototype toward the 100-1000~m$^3$ (0.15-1.5 tons) CYGNUS network…

CYGNO is a project realising a cubic meter demonstrator to study the scalability of the performance of the optical approach for the readout of large-volume, GEM-equipped TPC. This is part of the CYGNUS proto-collaboration which aims at…

The design of the project named CYGNO is presented. CYGNO is a new proposal supported by INFN, the Italian National Institute for Nuclear Physics, within CYGNUs proto-collaboration (CYGNUS-TPC) that aims to realize a distributed observatory…

Astrophysical and cosmological observations suggest the existence of beyond standard model ingredient known as dark matter (DM). One of the most supported class of theories suggests that DM is composed of weakly interactive massive…

Instrumentation and Detectors · Physics 2025-07-04 Giorgio Dho

The dark matter sector remains completely unknown. It is therefore crucial to keep an open mind regarding its nature and possible interactions. Focusing on the case of Weakly Interacting Massive Particles, in this work we make this general…

High Energy Physics - Phenomenology · Physics 2022-03-01 Juan Herrero-Garcia , Riley Patrick , Andre Scaffidi

Astrophysical and cosmological evidence strongly supports the existence of Dark Matter (DM), yet no candidate particle is predicted by the Standard Model (SM) of particle physics. Among the most studied and hypotheses are Weakly Interacting…

Instrumentation and Detectors · Physics 2025-10-03 Rita Antonietti

Gaseous Time Projection Chambers with Optical Readout are sensitive detectors suitable for 3D measurement of low-energy O(1 keV) particles and are proposed for detecting rare events such as Dark Matter particle interactions. The CYGNO…

The CYGNO experiment employs an optical readout to image particle interactions in a gaseous Time Projection Chamber (TPC), combining cameras and photomultiplier tubes (PMTs) to achieve high spatial resolution and timing information. This…

The nature of dark matter (DM) remains one of the most fundamental open questions in physics. Among the main DM candidates are Weakly Interacting Massive Particles (WIMPs), expected to interact with matter through scattering. Directional…

High Energy Physics - Experiment · Physics 2025-09-16 David José Gaspar Marques

Active target time projection chambers are important tools in low energy radioactive ion beams or gamma rays related researches. In this work, we present the application of machine learning methods to the analysis of data obtained from an…

Instrumentation and Detectors · Physics 2023-07-11 Huangkai Wu , Youjing Wang , Yumiao Wang , Xiangai Deng , Xiguang Cao , Deqing Fang , Weihu Ma , Hongwei Wang , Wanbing He , Changbo Fu , Yugang Ma

We study the prospects of characterising Dark Matter at colliders using Machine Learning (ML) techniques. We focus on the monojet and missing transverse energy (MET) channel and propose a set of benchmark models for the study: a typical…

High Energy Physics - Phenomenology · Physics 2021-06-23 C. K. Khosa , V. Sanz , M. Soughton
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