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Your search keyword '"Kuckuk, S."' showing total 13 results
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13 results on '"Kuckuk, S."'

1. First observation of single photons in a CRESST detector and new dark matter exclusion limits

Author

CRESST Collaboration, Angloher, G., Banik, S., Benato, G., Bento, A., Bertolini, A., Breier, R., Bucci, C., Burkhart, J., Canonica, L., D'Addabbo, A., Di Lorenzo, S., Einfalt, L., Erb, A., Feilitzsch, F. v., Fichtinger, S., Fuchs, D., Garai, A., Ghete, V. M., Gorla, P., Guillaumon, P. V., Gupta, S., Hauff, D., Ješkovský, M., Jochum, J., Kaznacheeva, M., Kinast, A., Kluck, H., Kraus, H., Kuckuk, S., Langenkämper, A., Mancuso, M., Marini, L., Mauri, B., Meyer, L., Mokina, V., Olmi, M., Ortmann, T., Pagliarone, C., Pattavina, L., Petricca, F., Potzel, W., Povinec, P., Pröbst, F., Pucci, F., Reindl, F., Rothe, J., Schäffner, K., Schieck, J., Schönert, S., Schwertner, C., Stahlberg, M., Stodolsky, L., Strandhagen, C., Strauss, R., Usherov, I., Wagner, F., Wagner, V., and Zema, V.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The main goal of the CRESST-III experiment is the direct detection of dark matter particles via their scattering off target nuclei in cryogenic detectors. In this work we present the results of a Silicon-On-Sapphire (SOS) detector with a mass of 0.6$\,$g and an energy threshold of (6.7$\, \pm \,$0.2)$\,$eV with a baseline energy resolution of (1.0$\, \pm \,$0.2)$\,$eV. This allowed for a calibration via the detection of single luminescence photons in the eV-range, which could be observed in CRESST for the first time. We present new exclusion limits on the spin-independent and spin-dependent dark matter-nucleon cross section that extend to dark matter particle masses of less than 100$\,$MeV/c$^{2}$., Comment: 10 pages, 8 figures

Published
2024

2. DoubleTES detectors to investigate the CRESST low energy background: results from above-ground prototypes

Author

Angloher, G., Banik, S., Benato, G., Bento, A., Bertolini, A., Breier, R., Bucci, C., Burkhart, J., Canonica, L., D'Addabbo, A., Di Lorenzo, S., Einfalt, L., Erb, A., Feilitzsch, F. v., Fichtinger, S., Fuchs, D., Garai, A., Ghete, V. M., Gorla, P., Guillaumon, P. V., Gupta, S., Hauff, D., Ješkovský, M., Jochum, J., Kaznacheeva, M., Kinast, A., Kluck, H., Kraus, H., Kuckuk, S., Langenkämper, A., Mancuso, M., Marini, L., Mauri, B., Meyer, L., Mokina, V., Olmi, M., Ortmann, T., Pagliarone, C., Pattavina, L., Petricca, F., Potzel, W., Povinec, P., Pröbst, F., Pucci, F., Reindl, F., Rothe, J., Schäffner, K., Schieck, J., Schönert, S., Schwertner, C., Stahlberg, M., Stodolsky, L., Strandhagen, C., Strauss, R., Usherov, I., Wagner, F., Wagner, V., and Zema, V.

Subjects
Physics - Instrumentation and Detectors
Abstract

In recent times, the sensitivity of low-mass direct dark matter searches has been limited by unknown low energy backgrounds close to the energy threshold of the experiments known as the low energy excess (LEE). The CRESST experiment utilises advanced cryogenic detectors constructed with different types of crystals equipped with Transition Edge Sensors (TESs) to measure signals of nuclear recoils induced by the scattering of dark matter particles in the detector. In CRESST, this low energy background manifests itself as a steeply rising population of events below 200 eV. A novel detector design named doubleTES using two identical TESs on the target crystal was studied to investigate the hypothesis that the events are sensor-related. We present the first results from two such modules, demonstrating their ability to differentiate between events originating from the crystal's bulk and those occurring in the sensor or in its close proximity., Comment: 10 pages, 13 figures

Published
2024

3. A likelihood framework for cryogenic scintillating calorimeters used in the CRESST dark matter search

Author

CRESST Collaboration, Angloher, G., Banik, S., Benato, G., Bento, A., Bertolini, A., Breier, R., Bucci, C., Burkhart, J., Canonica, L., D'Addabbo, A., Di Lorenzo, S., Einfalt, L., Erb, A., Feilitzsch, F. v., Fichtinger, S., Fuchs, D., Garai, A., Ghete, V. M., Gorla, P., Guillaumon, P. V., Gupta, S., Hauff, D., Ješkovský, M., Jochum, J., Kaznacheeva, M., Kinast, A., Kluck, H., Kraus, H., Kuckuk, S., Langenkämper, A., Mancuso, M., Marini, L., Mauri, B., Meyer, L., Mokina, V., Olmi, M., Ortmann, T., Pagliarone, C., Pattavina, L., Petricca, F., Potzel, W., Povinec, P., Pröbst, F., Pucci, F., Reindl, F., Rothe, J., Schäffner, K., Schieck, J., Schmiedmayer, D., Schönert, S., Schwertner, C., Stahlberg, M., Stodolsky, L., Strandhagen, C., Strauss, R., Usherov, I., Wagner, F., Wagner, V., and Zema, V.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Cryogenic scintillating calorimeters are ultrasensitive particle detectors for rare event searches, particularly for the search for dark matter and the measurement of neutrino properties. These detectors are made from scintillating target crystals generating two signals for each particle interaction. The phonon (heat) signal precisely measures the deposited energy independent of the type of interacting particle. The scintillation light signal yields particle discrimination on an event-by-event basis. This paper presents a likelihood framework modeling backgrounds and a potential dark matter signal in the two-dimensional plane spanned by phonon and scintillation light energies. We apply the framework to data from CaWO$_4$-based detectors operated in the CRESST dark matter search. For the first time, a single likelihood framework is used in CRESST to model the data and extract results on dark matter in one step by using a profile likelihood ratio test. Our framework simultaneously fits (neutron) calibration data and physics (background) data and allows combining data from multiple detectors. Although tailored to CaWO$_4$-targets and the CRESST experiment, the framework can easily be expanded to other materials and experiments using scintillating cryogenic calorimeters for dark matter search and neutrino physics., Comment: 18 pages, 11 figures, additional figures and data in ancillary files (on arXiv or at journal reference)

Published
2024
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4. Detector Development for the CRESST Experiment

Author

Angloher, G., Banik, S., Benato, G., Bento, A., Bertolini, A., Breier, R., Bucci, C., Burkhart, J., Canonica, L., D’Addabbo, A., Di Lorenzo, S., Einfalt, L., Erb, A., Feilitzsch, F. V., Fichtinger, S., Fuchs, D., Garai, A., Ghete, V. M., Gorla, P., Guillaumon, P. V., Gupta, S., Hauff, D., Ješkovský, M., Jochum, J., Kaznacheeva, M., Kinast, A., Kluck, H., Kraus, H., Kuckuk, S., Langenkämper, A., Mancuso, M., Marini, L., Mauri, B., Meyer, L., Mokina, V., Olmi, M., Ortmann, T., Pagliarone, C., Pattavina, L., Petricca, F., Potzel, W., Povinec, P., Pröbst, F., Pucci, F., Reindl, F., Rothe, J., Schäffner, K., Schieck, J., Schönert, S., Schwertner, C., Stahlberg, M., Stodolsky, L., Strandhagen, C., Strauss, R., Usherov, I., Wagner, F., Willers, M., and Zema, V.

Published
2024
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5. Detector development for the CRESST experiment

Author

Angloher, G., Banik, S., Benato, G., Bento, A., Bertolini, A., Breier, R., Bucci, C., Burkhart, J., Canonica, L., D'Addabbo, A., Di Lorenzo, S., Einfalt, L., Erb, A., Feilitzsch, F. v., Fichtinger, S., Fuchs, D., Garai, A., Ghete, V. M., Gorla, P., Guillaumon, P. V., Gupta, S., Hauff, D., Ješkovský, M., Jochum, J., Kaznacheeva, M., Kinast, A., Kluck, H., Kraus, H., Kuckuk, S., Langenkaemper, A., Mancuso, M., Marini, L., Mauri, B., Meyer, L., Mokina, V., Olmi, M., Ortmann, T., Pagliarone, C., Pattavina, L., Petricca, F., Potzel, W., Povinec, P., Proebst, F., Pucci, F., Reindl, F., Rothe, J., Schaeffner, K., Schieck, J., Schoenert, S., Schwertner, C., Stahlberg, M., Stodolsky, L., Strandhagen, C., Strauss, R., Usherov, I., Wagner, F., Willers, M., and Zema, V.

Subjects
Physics - Instrumentation and Detectors, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Recently low-mass dark matter direct searches have been hindered by a low energy background, drastically reducing the physics reach of the experiments. In the CRESST-III experiment, this signal is characterised by a significant increase of events below 200 eV. As the origin of this background is still unknown, it became necessary to develop new detector designs to reach a better understanding of the observations. Within the CRESST collaboration, three new different detector layouts have been developed and they are presented in this contribution., Comment: 8 pages, 4 figures

Published
2023

6. Light Dark Matter Search Using a Diamond Cryogenic Detector

Author

CRESST Collaboration, Angloher, G., Banik, S., Benato, G., Bento, A., Bertolini, A., Breier, R., Bucci, C., Burkhart, J., Canonica, L., D'Addabbo, A., Di Lorenzo, S., Einfalt, L., Erb, A., Feilitzsch, F. v., Fichtinger, S., Fuchs, D., Garai, A., Ghete, V. M., Gorla, P., Guillaumon, P. V., Gupta, S., Hauff, D., Ješkovský, M., Jochum, J., Kaznacheeva, M., Kinast, A., Kluck, H., Kraus, H., Kuckuk, S., Langenkämper, A., Mancuso, M., Marini, L., Mauri, B., Meyer, L., Mokina, V., Olmi, M., Ortmann, T., Pagliarone, C., Pattavina, L., Petricca, F., Potzel, W., Povinec, P., Pröbst, F., Pucci, F., Reindl, F., Rothe, J., Schäffner, K., Schieck, J., Schönert, S., Schwertner, C., Stahlberg, M., Stodolsky, L., Strandhagen, C., Strauss, R., Usherov, I., Wagner, F., Willers, M., and Zema, V.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Instrumentation and Detectors
Abstract

Diamond operated as a cryogenic calorimeter is an excellent target for direct detection of low-mass dark matter candidates. Following the realization of the first low-threshold cryogenic detector that uses diamond as absorber for astroparticle physics applications, we now present the resulting exclusion limits on the elastic spin-independent interaction cross-section of dark matter with diamond. We measured two 0.175 g CVD (Chemical Vapor Deposition) diamond samples, each instrumented with a W-TES. Thanks to the energy threshold of just 16.8 eV of one of the two detectors, we set exclusion limits on the elastic spin-independent interaction of dark matter particles with carbon nuclei down to dark matter masses as low as 0.122 GeV/c2. This work shows the scientific potential of cryogenic detectors made from diamond and lays the foundation for the use of this material as target for direct detection dark matter experiments., Comment: 6 pages, 6 figures

Published
2023

7. A likelihood framework for cryogenic scintillating calorimeters used in the CRESST dark matter search

Author

Angloher, G., Banik, S., Benato, G., Bento, A., Bertolini, A., Breier, R., Bucci, C., Burkhart, J., Canonica, L., D’Addabbo, A., Lorenzo, S. Di, Einfalt, L., Erb, A., Feilitzsch, F. v., Fichtinger, S., Fuchs, D., Garai, A., Ghete, V. M., Gorla, P., Guillaumon, P. V., Gupta, S., Hauff, D., Ješkovský, M., Jochum, J., Kaznacheeva, M., Kinast, A., Kluck, H., Kraus, H., Kuckuk, S., Langenkämper, A., Mancuso, M., Marini, L., Mauri, B., Meyer, L., Mokina, V., Olmi, M., Ortmann, T., Pagliarone, C., Pattavina, L., Petricca, F., Potzel, W., Povinec, P., Pröbst, F., Pucci, F., Reindl, F., Rothe, J., Schäffner, K., Schieck, J., Schmiedmayer, D., Schönert, S., Schwertner, C., Stahlberg, M., Stodolsky, L., Strandhagen, C., Strauss, R., Usherov, I., Wagner, F., Wagner, V., and Zema, V.

Published
2024
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8. High-Dimensional Bayesian Likelihood Normalisation for CRESST's Background Model

Author

Angloher, G., Banik, S., Benato, G., Bento, A., Bertolini, A., Breier, R., Bucci, C., Burkhart, J., Canonica, L., D'Addabbo, A., Di Lorenzo, S., Einfalt, L., Erb, A., Feilitzsch, F. v., Fichtinger, S., Fuchs, D., Garai, A., Ghete, V. M., Gorla, P., Guillaumon, P. V., Gupta, S., Hauff, D., Jeskovsky, M., Jochum, J., Kaznacheeva, M., Kinast, A., Kluck, H., Kraus, H., Kuckuk, S., Langenkaemper, A., Mancuso, M., Marini, L., Meyer, L., Mokina, V., Nilima, A., Olmi, M., Ortmann, T., Pagliarone, C., Pattavina, L., Petricca, F., Potzel, W., Povinec, P., Proebst, F., Pucci, F., Reindl, F., Rothe, J., Schaeffner, K., Schieck, J., Schmiedmayer, D., Schoenert, S., Schwertner, C., Stahlberg, M., Stodolsky, L., Strandhagen, C., Strauss, R., Usherov, I., Wagner, F., Willers, M., Zema, V., Ferella, F., Laubenstein, M., and Nisi, S.

Subjects
Physics - Instrumentation and Detectors, Astrophysics - Instrumentation and Methods for Astrophysics, High Energy Physics - Experiment
Abstract

Using CaWO$_4$ crystals as cryogenic calorimeters, the CRESST experiment searches for nuclear recoils caused by the scattering of potential Dark Matter particles. A reliable identification of a potential signal crucially depends on an accurate background model. In this work we introduce an improved normalisation method for CRESST's model of the electromagnetic backgrounds. Spectral templates, based on Geant4 simulations, are normalised via a Bayesian likelihood fit to experimental background data. Contrary to our previous work, no assumption of partial secular equilibrium is required, which results in a more robust and versatile applicability. Furthermore, considering the correlation between all background components allows us to explain 82.7% of the experimental background within [1 keV, 40 keV], an improvement of 18.6% compared to our previous method., Comment: 24 pages, 14 figures, submitted to EPJC

Published
2023

9. Light dark matter search using a diamond cryogenic detector

Author

Angloher, G., Banik, S., Benato, G., Bento, A., Bertolini, A., Breier, R., Bucci, C., Burkhart, J., Canonica, L., D’Addabbo, A., Lorenzo, S. Di, Einfalt, L., Erb, A., Feilitzsch, F. v., Fichtinger, S., Fuchs, D., Garai, A., Ghete, V. M., Gorla, P., Guillaumon, P. V., Gupta, S., Hauff, D., Jes̆kovský, M., Jochum, J., Kaznacheeva, M., Kinast, A., Kluck, H., Kraus, H., Kuckuk, S., Langenkämper, A., Mancuso, M., Marini, L., Mauri, B., Meyer, L., Mokina, V., Olmi, M., Ortmann, T., Pagliarone, C., Pattavina, L., Petricca, F., Potzel, W., Povinec, P., Pröbst, F., Pucci, F., Reindl, F., Rothe, J., Schäffner, K., Schieck, J., Schönert, S., Schwertner, C., Stahlberg, M., Stodolsky, L., Strandhagen, C., Strauss, R., Usherov, I., Wagner, F., Willers, M., and Zema, V.

Published
2024
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10. Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning

Author

Angloher, G, Banik, S, Benato, G, Bento, A, Bertolini, A, Breier, R, Bucci, C, Burkhart, J, Canonica, L, D'Addabbo, A, Di Lorenzo, S, Einfalt, L, Erb, A, v. Feilitzsch, F, Fichtinger, S, Fuchs, D, Garai, A, Ghete, V, Gorla, P, Guillaumon, P, Gupta, S, Hauff, D, Jeskovsky, M, Jochum, J, Kaznacheeva, M, Kinast, A, Kuckuk, S, Kluck, H, Kraus, H, Langenkamper, A, Mancuso, M, Marini, L, Mauri, B, Meyer, L, Mokina, V, Niedermayer, K, Olmi, M, Ortmann, T, Pagliarone, C, Pattavina, L, Petricca, F, Potzel, W, Povinec, P, Probst, F, Pucci, F, Reindl, F, Rothe, J, Schaffner, K, Schieck, J, Schonert, S, Schwertner, C, Stahlberg, M, Stodolsky, L, Strandhagen, C, Strauss, R, Usherov, I, Wagner, F, Wagner, V, Willers, M, Zema, V, Heitzinger, C, Waltenberger, W, Angloher G., Banik S., Benato G., Bento A., Bertolini A., Breier R., Bucci C., Burkhart J., Canonica L., D'Addabbo A., Di Lorenzo S., Einfalt L., Erb A., v. Feilitzsch F., Fichtinger S., Fuchs D., Garai A., Ghete V. M., Gorla P., Guillaumon P. V., Gupta S., Hauff D., Jeskovsky M., Jochum J., Kaznacheeva M., Kinast A., Kuckuk S., Kluck H., Kraus H., Langenkamper A., Mancuso M., Marini L., Mauri B., Meyer L., Mokina V., Niedermayer K., Olmi M., Ortmann T., Pagliarone C., Pattavina L., Petricca F., Potzel W., Povinec P., Probst F., Pucci F., Reindl F., Rothe J., Schaffner K., Schieck J., Schonert S., Schwertner C., Stahlberg M., Stodolsky L., Strandhagen C., Strauss R., Usherov I., Wagner F., Wagner V., Willers M., Zema V., Heitzinger C., Waltenberger W., Angloher, G, Banik, S, Benato, G, Bento, A, Bertolini, A, Breier, R, Bucci, C, Burkhart, J, Canonica, L, D'Addabbo, A, Di Lorenzo, S, Einfalt, L, Erb, A, v. Feilitzsch, F, Fichtinger, S, Fuchs, D, Garai, A, Ghete, V, Gorla, P, Guillaumon, P, Gupta, S, Hauff, D, Jeskovsky, M, Jochum, J, Kaznacheeva, M, Kinast, A, Kuckuk, S, Kluck, H, Kraus, H, Langenkamper, A, Mancuso, M, Marini, L, Mauri, B, Meyer, L, Mokina, V, Niedermayer, K, Olmi, M, Ortmann, T, Pagliarone, C, Pattavina, L, Petricca, F, Potzel, W, Povinec, P, Probst, F, Pucci, F, Reindl, F, Rothe, J, Schaffner, K, Schieck, J, Schonert, S, Schwertner, C, Stahlberg, M, Stodolsky, L, Strandhagen, C, Strauss, R, Usherov, I, Wagner, F, Wagner, V, Willers, M, Zema, V, Heitzinger, C, Waltenberger, W, Angloher G., Banik S., Benato G., Bento A., Bertolini A., Breier R., Bucci C., Burkhart J., Canonica L., D'Addabbo A., Di Lorenzo S., Einfalt L., Erb A., v. Feilitzsch F., Fichtinger S., Fuchs D., Garai A., Ghete V. M., Gorla P., Guillaumon P. V., Gupta S., Hauff D., Jeskovsky M., Jochum J., Kaznacheeva M., Kinast A., Kuckuk S., Kluck H., Kraus H., Langenkamper A., Mancuso M., Marini L., Mauri B., Meyer L., Mokina V., Niedermayer K., Olmi M., Ortmann T., Pagliarone C., Pattavina L., Petricca F., Potzel W., Povinec P., Probst F., Pucci F., Reindl F., Rothe J., Schaffner K., Schieck J., Schonert S., Schwertner C., Stahlberg M., Stodolsky L., Strandhagen C., Strauss R., Usherov I., Wagner F., Wagner V., Willers M., Zema V., Heitzinger C., and Waltenberger W.

Abstract

Cryogenic phonon detectors with transition-edge sensors achieve the best sensitivity to sub-GeV/c2 dark matter interactions with nuclei in current direct detection experiments. In such devices, the temperature of the thermometer and the bias current in its readout circuit need careful optimization to achieve optimal detector performance. This task is not trivial and is typically done manually by an expert. In our work, we automated the procedure with reinforcement learning in two settings. First, we trained on a simulation of the response of three Cryogenic Rare Event Search with Superconducting Thermometers (CRESST) detectors used as a virtual reinforcement learning environment. Second, we trained live on the same detectors operated in the CRESST underground setup. In both cases, we were able to optimize a standard detector as fast and with comparable results as human experts. Our method enables the tuning of large-scale cryogenic detector setups with minimal manual interventions.

Published
2024

11. Light dark matter search using a diamond cryogenic detector

Author

Angloher, G, Banik, S, Benato, G, Bento, A, Bertolini, A, Breier, R, Bucci, C, Burkhart, J, Canonica, L, D'Addabbo, A, Lorenzo, S, Einfalt, L, Erb, A, Feilitzsch, F, Fichtinger, S, Fuchs, D, Garai, A, Ghete, V, Gorla, P, Guillaumon, P, Gupta, S, Hauff, D, Jeskovsky, M, Jochum, J, Kaznacheeva, M, Kinast, A, Kluck, H, Kraus, H, Kuckuk, S, Langenkamper, A, Mancuso, M, Marini, L, Mauri, B, Meyer, L, Mokina, V, Olmi, M, Ortmann, T, Pagliarone, C, Pattavina, L, Petricca, F, Potzel, W, Povinec, P, Probst, F, Pucci, F, Reindl, F, Rothe, J, Schaffner, K, Schieck, J, Schonert, S, Schwertner, C, Stahlberg, M, Stodolsky, L, Strandhagen, C, Strauss, R, Usherov, I, Wagner, F, Willers, M, Zema, V, Angloher G., Banik S., Benato G., Bento A., Bertolini A., Breier R., Bucci C., Burkhart J., Canonica L., D'Addabbo A., Lorenzo S. D., Einfalt L., Erb A., Feilitzsch F. V., Fichtinger S., Fuchs D., Garai A., Ghete V. M., Gorla P., Guillaumon P. V., Gupta S., Hauff D., Jeskovsky M., Jochum J., Kaznacheeva M., Kinast A., Kluck H., Kraus H., Kuckuk S., Langenkamper A., Mancuso M., Marini L., Mauri B., Meyer L., Mokina V., Olmi M., Ortmann T., Pagliarone C., Pattavina L., Petricca F., Potzel W., Povinec P., Probst F., Pucci F., Reindl F., Rothe J., Schaffner K., Schieck J., Schonert S., Schwertner C., Stahlberg M., Stodolsky L., Strandhagen C., Strauss R., Usherov I., Wagner F., Willers M., Zema V., Angloher, G, Banik, S, Benato, G, Bento, A, Bertolini, A, Breier, R, Bucci, C, Burkhart, J, Canonica, L, D'Addabbo, A, Lorenzo, S, Einfalt, L, Erb, A, Feilitzsch, F, Fichtinger, S, Fuchs, D, Garai, A, Ghete, V, Gorla, P, Guillaumon, P, Gupta, S, Hauff, D, Jeskovsky, M, Jochum, J, Kaznacheeva, M, Kinast, A, Kluck, H, Kraus, H, Kuckuk, S, Langenkamper, A, Mancuso, M, Marini, L, Mauri, B, Meyer, L, Mokina, V, Olmi, M, Ortmann, T, Pagliarone, C, Pattavina, L, Petricca, F, Potzel, W, Povinec, P, Probst, F, Pucci, F, Reindl, F, Rothe, J, Schaffner, K, Schieck, J, Schonert, S, Schwertner, C, Stahlberg, M, Stodolsky, L, Strandhagen, C, Strauss, R, Usherov, I, Wagner, F, Willers, M, Zema, V, Angloher G., Banik S., Benato G., Bento A., Bertolini A., Breier R., Bucci C., Burkhart J., Canonica L., D'Addabbo A., Lorenzo S. D., Einfalt L., Erb A., Feilitzsch F. V., Fichtinger S., Fuchs D., Garai A., Ghete V. M., Gorla P., Guillaumon P. V., Gupta S., Hauff D., Jeskovsky M., Jochum J., Kaznacheeva M., Kinast A., Kluck H., Kraus H., Kuckuk S., Langenkamper A., Mancuso M., Marini L., Mauri B., Meyer L., Mokina V., Olmi M., Ortmann T., Pagliarone C., Pattavina L., Petricca F., Potzel W., Povinec P., Probst F., Pucci F., Reindl F., Rothe J., Schaffner K., Schieck J., Schonert S., Schwertner C., Stahlberg M., Stodolsky L., Strandhagen C., Strauss R., Usherov I., Wagner F., Willers M., and Zema V.

Abstract

Diamond operated as a cryogenic calorimeter is an excellent target for direct detection of low-mass dark matter candidates. Following the realization of the first low-threshold cryogenic detector that uses diamond as absorber for astroparticle physics applications, we now present the resulting exclusion limits on the elastic spin-independent interaction cross-section of dark matter with diamond. We measured two 0.175 g CVD (Chemical Vapor Deposition) diamond samples, each instrumented with a Transition Edge Sensor made of Tungsten (W-TES). Thanks to the energy threshold of just 16.8 eV of one of the two detectors, we set exclusion limits on the elastic spin-independent interaction of dark matter particles with carbon nuclei down to dark matter masses as low as 0.122 GeV/c2. This work shows the scientific potential of cryogenic detectors made from diamond and lays the foundation for the use of this material as target for direct detection dark matter experiments.

Published
2024

12. Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning

Author

Angloher, G., primary, Banik, S., additional, Benato, G., additional, Bento, A., additional, Bertolini, A., additional, Breier, R., additional, Bucci, C., additional, Burkhart, J., additional, Canonica, L., additional, D’Addabbo, A., additional, Di Lorenzo, S., additional, Einfalt, L., additional, Erb, A., additional, v. Feilitzsch, F., additional, Fichtinger, S., additional, Fuchs, D., additional, Garai, A., additional, Ghete, V. M., additional, Gorla, P., additional, Guillaumon, P. V., additional, Gupta, S., additional, Hauff, D., additional, Ješkovský, M., additional, Jochum, J., additional, Kaznacheeva, M., additional, Kinast, A., additional, Kuckuk, S., additional, Kluck, H., additional, Kraus, H., additional, Langenkämper, A., additional, Mancuso, M., additional, Marini, L., additional, Mauri, B., additional, Meyer, L., additional, Mokina, V., additional, Niedermayer, K., additional, Olmi, M., additional, Ortmann, T., additional, Pagliarone, C., additional, Pattavina, L., additional, Petricca, F., additional, Potzel, W., additional, Povinec, P., additional, Pröbst, F., additional, Pucci, F., additional, Reindl, F., additional, Rothe, J., additional, Schäffner, K., additional, Schieck, J., additional, Schönert, S., additional, Schwertner, C., additional, Stahlberg, M., additional, Stodolsky, L., additional, Strandhagen, C., additional, Strauss, R., additional, Usherov, I., additional, Wagner, F., additional, Wagner, V., additional, Willers, M., additional, Zema, V., additional, Heitzinger, C., additional, and Waltenberger, W., additional

Published
2024
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13. Geant4 simulations of the influence of contamination and roughness of the detector surface on background spectra in CRESST

Author

Grüner, Christoph, primary, Angloher, G., additional, Banik, S., additional, Benato, G., additional, Bento, A., additional, Bertolini, A., additional, Breier, R., additional, Bucci, C., additional, Burkhart, J., additional, Canonica, L., additional, D'Addabbo, A., additional, Di Lorenzo, S., additional, Einfalt, L., additional, Erb, A., additional, v. Feilitzsch, F., additional, Fichtinger, S., additional, Fuchs, D., additional, Garai, A., additional, Ghete, V.M., additional, Gorla, P., additional, Guillaumon, P.V., additional, Gupta, S. K., additional, Hauff, D., additional, Ješkovský, M., additional, Jochum, J., additional, Kaznacheeva, M., additional, Kinast, A., additional, Kluck, H., additional, Kraus, H., additional, Kuckuk, S., additional, Langenkämper, A., additional, Mancuso, M., additional, Marini, L., additional, Mauri, B., additional, Meyer, L., additional, Mokina, Valentyna, additional, Olmi, M., additional, Ortmann, T., additional, Pagliarone, C. E., additional, Pattavina, L., additional, Petricca, F., additional, Potzel, W., additional, Povinec, P., additional, Pröbst, F., additional, Pucci, F., additional, Reindl, F., additional, Rothe, J., additional, Schäffner, K., additional, Schieck, J., additional, Schönert, S., additional, Schwertner, C., additional, Stahlberg, M., additional, Stodolsky, L., additional, Strandhagen, C., additional, Strauss, R., additional, Usherov, I., additional, Wagner, F., additional, Willers, M., additional, and Zema, V., additional

Published
2024
Full Text
View/download PDF

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