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

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

Publikováno v: European Physical Journal C: Particles and Fields, Vol 84, Iss 10, Pp 1-10 (2024)

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

Externí odkaz: https://doaj.org/article/45b8a1fb2cb9445699e10b35174bcbc9

Dual therapeutic targeting of MYC and JUNB transcriptional programs for enhanced anti-myeloma activity

Autor: Judith Lind, Osman Aksoy, Michaela Prchal-Murphy, Fengjuan Fan, Mariateresa Fulciniti, Dagmar Stoiber, Latifa Bakiri, Erwin F. Wagner, Elisabeth Zwickl-Traxler, Martin Sattler, Karoline Kollmann, Sonia Vallet, Klaus Podar

Publikováno v: Blood Cancer Journal, Vol 14, Iss 1, Pp 1-12 (2024)

Abstract Deregulation of transcription factors (TFs) leading to uncontrolled proliferation of tumor cells within the microenvironment represents a hallmark of cancer. However, the biological and clinical impact of transcriptional interference, partic

Externí odkaz: https://doaj.org/article/6f0fada8d8aa46c2a07a49b9d5a5c9ab

Water Cherenkov muon veto for the COSINUS experiment: design and simulation optimization

Autor: G. Angloher, M. R. Bharadwaj, M. Cababie, I. Dafinei, N. Di Marco, L. Einfalt, F. Ferroni, S. Fichtinger, A. Filipponi, M. Friedl, A. Fuss, Z. Ge, M. Heikinheimo, M. N. Hughes, K. Huitu, M. Kellermann, R. Maji, M. Mancuso, L. Pagnanini, F. Petricca, S. Pirro, F. Pröbst, G. Profeta, A. Puiu, F. Reindl, K. Schäeffner, J. Schieck, D. Schmiedmayer, P. Schreiner, C. Schwertner, K. Shera, M. Stahlberg, A. Stendhal, M. Stukel, C. Tresca, F. Wagner, S. Yue, V. Zema, Y. Zhu

Publikováno v: European Physical Journal C: Particles and Fields, Vol 84, Iss 5, Pp 1-14 (2024)

Abstract COSINUS is a dark matter (DM) direct search experiment that uses sodium iodide (NaI) crystals as cryogenic calorimeters. Thanks to the low nuclear recoil energy threshold and event-by-event discrimination capability, COSINUS will address the

Externí odkaz: https://doaj.org/article/2184c6e3679d47e7920bb13004823c7e

Light dark matter search using a diamond cryogenic detector

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

Publikováno v: European Physical Journal C: Particles and Fields, Vol 84, Iss 3, Pp 1-6 (2024)

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 astropartic

Externí odkaz: https://doaj.org/article/0deb0057a81e49649ba023c6c99d17c5

A COMPARATIVE STUDY OF DEEP ARCHITECTURES FOR VOXEL SEGMENTATION IN VOLUME IMAGES

Autor: F. Wagner, H.-G. Maas

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 1667-1676 (2023)

This study investigates the performance of eight different deep learning architectures for voxel segmentation in volume images. The motivation is to segment carbon in carbon reinforced concrete (CRC) in micro-tomography (μ-CT) data. Although there a

Externí odkaz: https://doaj.org/article/5f8f27a739814f348fe53fcd4692bb46