InGrid-based X-ray detector for low background searches

Krieger, C.; Kamiński, J.; Desch, K.

doi:10.1016/j.nima.2013.08.075

Cited by 21 publications

(18 citation statements)

References 12 publications

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“…The experiment described here took place in a short running period before the installation of a powerful combination of the existing X-ray telescope (MPE-Abrixas flight spare) and a newly developed InGrid detector [19], capable of simultaneous sub-keV and multi-keV operation. A sub-keV detector system was assembled using mostly commercially available equipment to exploit this first period of vacuum running.…”

Section: The Experimentsmentioning

confidence: 99%

Search for chameleons with CAST

et al. 2015

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In this work we present a search for (solar) chameleons with the CERN Axion Solar Telescope (CAST). This novel experimental technique, in the field of dark energy research, exploits both the chameleon coupling to matter (βmβm) and to photons (βγβγ) via the Primakoff effect. By reducing the X-ray detection energy threshold used for axions from 1 keV to 400 eV CAST became sensitive to the converted solar chameleon spectrum which peaks around 600 eV. Even though we have not observed any excess above background, we can provide a 95% C.L. limit for the coupling strength of chameleons to photons of βγ≲1011βγ≲1011 for 1<βm<1061<βm<106

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Section: The Experimentsmentioning

confidence: 99%

Search for chameleons with CAST

et al. 2015

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“…Christoph Krieger By applying a background suppression method based on a likelihood ratio scheme using reference data sets, a first prototype was able to achieve background rates in the order of a few times 10 −5 cm −2 s −1 keV −1 [16]. Additionally energy resolutions σ E /E of down to 3.85 % at 5.9 keV could be achieved at optimized settings in a gas mixture of Argon and isobutane with 10 % quencher fraction and energy determination by simple pixel (or electron) counting.…”

Section: An Ingrid Based Low Energy X-ray Detector For the Cast Expermentioning

confidence: 99%

An InGrid based Low Energy X-ray Detector for the CAST Experiment

Krieger¹,

Desch²,

Kamiński³

et al. 2015

Proceedings of Technology and Instrumentation in Particle Physics 2014 — PoS(TIPP2014)

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The CERN Axion Solar Telescope (CAST) is searching for axions and other new particles like chameleons coupling to photons and emerging from the Sun. Those particles are converted into soft X-ray photons in a high magnetic field. To enhance sensitivity for physics beyond the Standard Model it is necessary to cope with weak couplings and low energies, thus requiring an efficient background discrimination as well as a detection threshold below 1 keV. A promising candidate for a future CAST detector is an InGrid based X-ray detector. This detector combines the high spatial resolution of a pixelized readout with a highly granular Micromegas gas amplification stage. Fabrication by photolithographic postprocessing techniques allows to match the amplification grid to the pixels. The high granularity facilitates the detection of single electrons which allows to determine the X-ray energy by electron counting. Additionally, rejection of background events mostly originating from cosmic rays is provided by an event shape analysis exploiting the high spatial resolution. In order to demonstrate its low detection threshold, an InGrid based detector was tested in the CAST Detector Lab where an X-ray generator for energies down to a few hundred eV is available.Results of these tests demonstrate the detector's ability to detect the carbon K-alpha line at 277 eV. The detector was mounted afterwards at the CAST experiment behind an X-ray telescope in order to take data during the 2014 run of CAST.

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“…To increase the stability of the grid, new geometries for the support structure underneath are studied [104]. At the University of Bonn, an InGrid-based detector for the detection of low energy X-rays has been developed [105]. The project was supported by studies of the field distortion and energy resolution in different Argon/Isobutane gas mixtures [106] and a background reduction by analysing the signal from the grid [107].…”

Section: Applicationsmentioning

confidence: 99%