# GADGET: A Gas Amplifier Detector with Germanium Tagging

**Authors:** Moshe Friedman, David P\'erez-Loureiro, Tamas Budner, Emanuel, Pollacco, Chris Wrede, Marco Cortesi, Cathleen Fry, Brent, Glassman, Madison Harris, Joe Heideman, Molly Janasik, Brian T, Roeder, Michael Roosa, Antti Saastamoinen, Jordan Stomps, Jason, Surbrook, Pranjal Tiwari, John Yurkon

arXiv: 1903.07457 · 2019-06-26

## TL;DR

GADGET is a novel detection system combining a gaseous proton detector with germanium tagging, enabling high-efficiency measurement of weak, low-energy beta-delayed proton decays crucial for nuclear astrophysics.

## Contribution

The paper introduces the design, construction, and operation of GADGET, a new system integrating a Micromegas-based proton detector with germanium detectors for the first time.

## Key findings

- Achieved over 95% detection efficiency for low-energy beta-delayed protons.
- Demonstrated effective proton-gamma coincidence detection at 2.7%.
- Validated system performance with 	extsuperscript{25}Si beam at NSCL.

## Abstract

The Gas Amplifier Detector with Germanium Tagging (GADGET) is a new detection system devoted to the measurement of weak, low-energy $\beta$-delayed proton decays relevant for nuclear astrophysics studies. It is comprised of a new gaseous Proton Detector equipped with a Micromegas readout for charged particle detection, surrounded by the existing Segmented Germanium Array (SeGA) for the high-resolution detection of the prompt $\gamma$-rays. In this work we describe in detail for the first time the design, construction, and operation of the GADGET system, including performance of the Proton Detector. We present the results of a recent commissioning experiment performed with \textsuperscript{25}Si beam at the National Superconducting Cyclotron Laboratory (NSCL). GADGET provided low-background, low-energy $\beta$-delayed proton detection with efficiency above 95\%, and relatively good efficiency for proton-gamma coincidences (2.7\% at 1.37 MeV).

## Full text

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## Figures

25 figures with captions in the complete paper: https://tomesphere.com/paper/1903.07457/full.md

## References

20 references — full list in the complete paper: https://tomesphere.com/paper/1903.07457/full.md

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Source: https://tomesphere.com/paper/1903.07457