Relevant bibliographies by topics / CRESST

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'CRESST'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "CRESST"

1

Angloher, G., M. Bauer, I. Bavykina, A. Bento, A. Brown, C. Bucci, C. Ciemniak, et al. "CRESST." EAS Publications Series 36 (2009): 231–36. http://dx.doi.org/10.1051/eas/0936032.

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Kraus, H., G. Angloher, M. Bauer, I. Bavykina, C. Bucci, P. Christ, C. Ciemniak, et al. "CRESST – status and future." Nuclear Physics B - Proceedings Supplements 173 (November 2007): 104–7. http://dx.doi.org/10.1016/j.nuclphysbps.2007.08.156.

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Seidel, W., M. Bravin, M. Bruckmayer, C. Bucci, S. Cooper, P. DiStefano, F. V. Feilitzsch, et al. "The CRESST dark matter search." Physics of Atomic Nuclei 63, no. 7 (July 2000): 1242–48. http://dx.doi.org/10.1134/1.855777.

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Bravin, M., M. Bruckmayer, C. Bucci, S. Cooper, S. Giordano, F. von Feilitzsch, J. Höhne, et al. "The CRESST dark matter search." Astroparticle Physics 12, no. 1-2 (October 1999): 107–14. http://dx.doi.org/10.1016/s0927-6505(99)00073-0.

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Cozzini, C., G. Angloher, C. Bucci, F. von Feilitzsch, T. Frank, D. Hauff, S. Henry, et al. "CRESST cryogenic dark matter search." New Astronomy Reviews 49, no. 2-6 (May 2005): 255–58. http://dx.doi.org/10.1016/j.newar.2005.01.016.

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Zerle, L., C. Bucci, M. Bühler, S. Cooper, F. v. Feilitzsch, J. Höhne, V. Jörgens, et al. "The CRESST dark matter search." Nuclear Physics B - Proceedings Supplements 70, no. 1-3 (January 1999): 85–89. http://dx.doi.org/10.1016/s0920-5632(98)00393-4.

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Jochum, J., G. Angloher, M. Bauer, I. Bavykina, A. Brown, C. Bucci, C. Ciemniak, et al. "The CRESST dark matter search." Progress in Particle and Nuclear Physics 66, no. 2 (April 2011): 202–7. http://dx.doi.org/10.1016/j.ppnp.2011.01.007.

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Jochum, J., M. Bravin, M. Bruckmayer, C. Bucci, S. Cooper, S. Giordano, F. v. Feilitzsch, et al. "The CRESST dark matter search." Nuclear Physics B - Proceedings Supplements 87, no. 1-3 (June 2000): 70–73. http://dx.doi.org/10.1016/s0920-5632(00)00634-4.

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Pröbst, F., G. Angloher, M. Bruckmayer, C. Bucci, S. Cooper, P. Di Stefano, F. von Feilitzsch, et al. "Results of CRESST phase I." Nuclear Physics B - Proceedings Supplements 110 (July 2002): 67–69. http://dx.doi.org/10.1016/s0920-5632(02)01453-6.

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Pröbst, F. "Results of CRESST phase I." Nuclear Physics B - Proceedings Supplements 110, no. 2 (July 2002): 67–69. http://dx.doi.org/10.1016/s0920-5632(02)80096-2.

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Dissertations / Theses on the topic "CRESST"

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Brown, Andrew. "Analysis and modelling for CRESST II." Thesis, University of Oxford, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.568066.

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The dark matter search CRESST-II completed its most recent run, Run 32, in 2011. Compared to previous runs, the quantity of data taken in this run increased , significantly. In this work, Oxrop, analysis software in use within the CRESST collaboration, is upgraded to analyse this new data. At the same time, Oxrop's internal structure is improved so that it can now handle data from detectors across different experiments consistently. This upgrade was performed with a view to developing Oxrop's candidacy for use with EURECA, a future dark matter experiment. Oxrop is then used to model CRESST-II data .. First, light detector response to scintillation light produced in y interactions in CRESST -Il' s target crystals is examined. A factor influencing detector efficiency is the time constant of scintillation light production, and this light detector examination is performed with a view to extracting the scintillation time constants of the target crystals. A simple model of light detector response of one exponential rise and two exponential decay times is initially considered. It is shown that this simple model does not closely match the light detector response to y interactions in the crystal scintillator. Empirical extensions to this expected model are then made, allowing for additional decay times. These extensions allow the light detector response to crystal scintillator interactions to be well modelled, and allow estimates of the millikelvin y scintillation time of Ca W04 and Zn W04. This model is then also applied to X-ray interactions directly in the light detectors. It is seen that, even with these model extensions, interactions directly in the light detector still show significant tension with the applied model. This implies that direct calibration of light detectors with X-rays is not possible without a further understanding of light detector response, or that future direct calibrations should be done with optical photons. Position dependent effects in Run 32 calibration data are then studied. A phenomenon that has previously been considered as unrelated to position dependence, the anti-correlation effect between phonon and light detector signals, is shown to exhibit a position dependent effect in at least one lightjphonon detector pair under study. Additionally, the collection efficiency of the light detector is shown to be related to the mean interaction position. Collection efficiency is found to reduce when mean interaction position is close to the cylindrical surfaces of CRESST's Ca W04 target crystals. The magnitude of the difference in light collection: efficiency between surface and bulk interactions is also seen to be correlated with high energy light detector resolution. The WIMP-nucleon cross section limits resulting from the CRESST-II commissioning run (2007) are also reanalysed in this work. The original analysis of the commissioning run accounted only for tungsten recoils in the Ca W04 crystals used in CRESST - II. Here, interactions from calcium and oxygen nuclei are also accounted for. The resulting WIMP-nucleon cross section limits were improved at light WIMP masses -0(10 GeV j c2). These limits show a mild tension with a recent dark matter analysis of Run 32, particularly for WIMP masses below 10 GeV j c2. Possible causes of this tension are discussed
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Cozzini, Cristina. "CRESST dark matter search with cryogenic calorimeters." Diss., [S.l.] : [s.n.], 2003. http://edoc.ub.uni-muenchen.de/archive/00001299.

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Tolhurst, Adam James Barnaby. "OxRop : data analysis software for CRESST-II." Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491756.

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Dark matter forms the dominant contribution to the matter density of the universe, and a host of experiments aim to detect the favoured dark matter e candidate, the Weakly Interacting Massive Particle (WIMP). Currently operating i experiments, such as CRESST-II (Cryogenic Rare Event Search with Superconducting Thermometers), have not yet detected WIMPs. The drive to increase sensitivity has inspired the design of tonne scale experiments with thousands of detector channels. OxRop is a new software framework built for the analysis of data from one such next generation WIMP search experiment, EURECA, and has been designed to accommodate the vast increase in data volume anticipated. An exposition of OxRop's design and implementation is given, along with the mathematical foundations of key analysis tools. To verify OxRop's capabilities, a re-analysis of CRESST data has been performed, '~. - j confirming the previously published discovery of the alpha decay of tungsten- 180. Measurements of the half life and Qvalue of the decay, 1.5 ±0.4 x 1018. years and 2514 ±1 keY respectively, are consistent with those published. OXRop has also been applied to recent data from the upgraded CRESST-II experiment. A new upper limit on the WIMP-nucleon spin independent cross section with a minimum of 6 x 10-7 pb has been found.
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Marchese, J. T. "Background studies for the CRESST dark matter search." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365695.

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Schnagl, Johann. "Entwicklung von Lichtdetektoren mit Phononenkollektoren für das CRESST-Experiment." [S.l. : s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=962129488.

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Keeling, Robert Owen. "Studies of scintillators for the CRESST dark matter search." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270270.

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DI, LORENZO STEFANO. "Multiple detector analysis in the CRESST Dark Matter experiment." Doctoral thesis, Gran Sasso Science Institute, 2020. http://hdl.handle.net/20.500.12571/15361.

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During the past century, from the first observation of the velocity anomalies in the Coma Cluster made by Zwicki, several observational evidences were collected at both galactic and cosmological scale that the a large amount of matter in our universe is dark. The most recent results of the Planck mission measured the ratio between ordinary matter and dark matter to be around 5. Still the nature of dark matter, despite the significant effort of the scientific community, remains unknown. The CRESST (Cryogenic Rare Event Search with Superconducting Thermo- meters) experiment based at the underground facility of the Laboratori Nazion- ali del Gran Sasso (LNGS) is one of the most sensitive experiments aiming at the direct detection of dark matter particles via elastic scattering off nuclei in CaWO4 scintillating crystals. The CRESST crystals are operated as cryogenic calorimeters, each equipped with a cryogenic light detector for the detection of the scintillation light coming from the crystals. When a particle interacts inside the detector produces a phonon and a light signal; the latter is used to discriminate nuclear recoils, possibly induced by dark matter scattering, from electron recoils induced by the dominant electron/gamma background. Defining the Light Yield as the ratio between the energy measured in the light channel and the one measured in phonon channel, it is possible to establish regions (bands) where the different interactions are expected. The results of CRESST Run 32 showed an excess of events in the acceptance region that could not be explained in therms of known backgrounds. Interpreting these events as a dark matter signal, under the most standard assumptions for the galactic dark matter halo, identifies regions in the cross-section vs mass parameters space compatible with the observation. In the following CRESST physics run, thanks to a substantial global background reduction, it was possible to partially exclude the dark matter interpretation of the excess of events. This work aims to test with a high statistic the CRESST run 32 excess, to prove (and possibly exclude) the dark matter interpretation. The analysis is per- formed on the full dataset collected during Run 33 using a Likelihood approach to combine the data from multiple detectors. For this purpose data collected during CRESST Run 33 were used. These data, acquired between July 2013 and August 2015, provide a very large exposure, of the order of 130 kg·day for each detector, allowing to achieve an improvement of the the CRESST exclusion limit for dark matter masses above 1 GeV/c2. The description of the CRESST experimental framework in which the ana- 4 lysis has been portrayed, together with all the steps of the analysis workflow needed to go from the collected raw data to the fit of the bands in the Light Yield - Energy plane are described. The steps needed for extending the range of the detector, the operations necessary for the energy calibration, alongside the different cuts to remove pile-up and spurious events for the different detectors are thoroughly discussed. The relevant parameters for the electron/gamma and nuclear recoil bands that are used to produce the exclusion limit are computed for each individual detector. The exclusion limit is computed in this work with an Extended Maximum Likelihood approach, which allows to combine the data of multiple detectors and benefit of the cumulative exposure. The final part of the thesis focuses on comparisons with previous results and possible future improvements. The exclusion of the dark matter interpretation of the excess observed in Run 32 is discussed.
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Stark, Michael. "Detektoren mit effizienter und schneller Phononensammlung für das CRESST-Experiment." [S.l. : s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=974914304.

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Henry, S. A. "The 66-channel readout for the CRESST dark matter search." Thesis, University of Oxford, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400137.

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OLMI, MIRIAM. "Exploring the Inelastic Dark Matter frontier with the CRESST experiment." Doctoral thesis, Gran Sasso Science Institute, 2020. http://hdl.handle.net/20.500.12571/9945.

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The quest for the nature of dark matter (DM) is one of the most fundamental in today’s physics research. Until today the existence of DM is inferred by indirect (gravitational) effects. The best interpretation to date of these observations is the existence of new massive particles with an interaction cross section at the (sub)weak scale. This explanation sets some strict requests for the DM candidate (cold, stable and interacting only gravitationally and sub-weak) but leaves a wide range of properties completely unconstrained. The most commonly searched dark matter candidate, the WIMP (Weak Interacting Massive Particle), is only one among all the possible candidates to solve the DM puzzle. One interesting possibility, explored in many theoretical frameworks, is that dark matter predominantly scatters inelastically off nuclei, causing the DM particle to up-scatter into an excited state. In the work of Bramante et al. [1] the inelastic scattering framework is widely investigated with a particular focus on the available kinematic phase space depending on the target nucleus. This article pointed out that, for a fixed dark matter mass, the heavier the target mass the larger mass splitting will be accessible. Among all the direct dark matter searches CRESST [2] (Cryogenic Rare Event Search with Superconducting Thermometer) is the most suitable for probing the inelastic dark matter (iDM) scenario, being tungsten the heaviest target element used in such experiments at present. CRESST is one of the leading experiments for a light direct dark matter search. Located at the Laboratori Nazionali del Gran Sasso (Abruzzo, Italy), CRESST target consists of arrays CaWO4 crystals operated at a temperature of few mK. For each crystal both the phonon and light signal produced by a particle interaction are detected, allowing particle identification as well as a precise energy measurement. In this PhD thesis the analysis of CRESST data in the framework of the inelastic dark matter scenario is presented. This work is focused on the combination of the results from multiple detector modules to exploit the total exposure of the experiment. Due to kinematic reasons, the iDM is characterised by a suppressed effective DM-nuclear scattering rate and a minimum recoil energy in the detector, corresponding to the minimum required energy for inelastic DM-nuclear collisions to happen. In light of these considerations, CRESST-II [3] phase 2 data have been chosen for this analysis instead of more recent data in order to increase the total exposure available. The target mass of a CRESST-II detector is more than 10 times larger than the one of CRESST-III detector leading to a gross exposure of ∼ 160 kg d for each detector module in the data taking campaign considered in this work. In the manuscript the raw data analysis procedures, which require in this case optimizing calibration and linearisation of the individual detector response for a non-standard region of interest, are described in detail. Particular attention is devoted to the explanation of the data quality selections performed on the background data to remove all the signals due to nonphysical processes. This procedure is not trivial because each detector has an individual behaviour and specific populations of events that need to be understood and associated with the physical/non-physical process that caused them. A blind analysis is performed using a small part of the data set (∼ 20%) as training data to define all the selections. These are then applied blindly to the full data set avoiding any unwanted bias. For all detector modules a dedicated simultaneous fit of the energy spectra measured by the phonon and light detector has been performed to optimise particle identification and thus improve background discrimination. The expected iDM spectrum in the CRESST modules has been produced and compared with the measured one for each module and the exclusion limit on the iDM cross section was obtained for each module. The background discrimination performances as well as the exclusion limit of each detector have been evaluated carefully and only the most suitable modules have been selected for the final combined analysis. Finally the results obtained with the chosen detectors have been combined. With the resulting enhanced exposure obtained from CRESST-II phase 2 data the final exclusion limit on the inelastic dark matter cross section is given.
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Books on the topic "CRESST"

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L, Baker Eva, and National Center for Research on Evaluation, Standards, and Student Testing., eds. CRESST performance assessment models: Assessing content area explanations. [Los Angeles?]: UCLA Center for the Study of Evaluation, 1992.

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L, Linn Robert, Herman Joan L, and Educational Resources Information Center (U.S.), eds. CRESST, a continuing mission to improve educational assessment: Evaluation comment. [Los Angeles, CA: UCLA's Center for the Study of Evaluation & the National Center for Research on Evaluation, Standards, and Student Testing, 1996.

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Chambers, Lewis Anne, and Educational Resources Information Center (U.S.), eds. 2000 CRESST Conference proceedings: Educational accountability in the 21st century. Los Angeles, Calif: National Center for Research on Evaluation, Standards, and Student Testing, Center for the Study of Evaluation, Graduate School of Education & Information Studies, University of California, Los Angeles, 2001.

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Chambers, Lewis Anne, and Educational Resources Information Center (U.S.), eds. 1999 CRESST Conference proceedings: Benchmarks for accountability : are we there yet? Los Angeles, Calif: National Center for Research on Evaluation, Standards, and Student Testing, Center for the Study of Evaluation, Graduate School of Education & Information Studies, University of California, Los Angeles, 2001.

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Educational Resources Information Center (U.S.), ed. Moving up to complex assessment systems: Proceedings from the 1996 CRESST conference. [Los Angeles, CA]: UCLA's Center for the Study of Evaluation and Graduate School of Education & Information Studies, National Center for Research on Evaluation, Standards, and Student Testing, 1997.

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Anne, Lewis. Comprehensive systems for educational accounting and improvement: R&D results : 1998 CRESST conference proceedings. Los Angeles, CA: National Center for Research on Evaluation, Standards, and Student Testing, Center for the Study of Evaluation, Graduate School of Education & Information Studies, University of California, Los Angeles, 1999.

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Meyer, Marissa. Cress. New York, NY: Macmillan Young Listeners, 2014.

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Angels crest. Oxford: ISIS, 2005.

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Schwartz, Leslie. Angels Crest. [Waterville, Me.]: Wheeler Pub., 2004.

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Schwartz, Leslie. Angel's crest. London: Vintage, 2005.

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Book chapters on the topic "CRESST"

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Seidel, W., M. Bruckmayer, C. Bucci, S. Cooper, C. Cozzini, P. Di Stefano, F. v. Feilitzsch, et al. "The CRESST Dark Matter Search." In Dark Matter in Astro- and Particle Physics, 581–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56643-1_53.

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Jochum, J., M. Bravin, M. Bruckmayer, C. Bucci, S. Cooper, C. Cozzini, P. DiStefano, et al. "The CRESST Dark Matter Search." In Sources and Detection of Dark Matter and Dark Energy in the Universe, 399–408. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04587-9_40.

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Seidel, Wolfgang, M. Altmann, G. Angloher, C. Bucci, S. Cooper, C. Cozzini, F. von Feilitzsch, et al. "The CRESST Dark Matter Search Status and Future." In Dark Matter in Astro- and Particle Physics, 517–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-55739-2_48.

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Thattaliyath, Bijoy, and Mary Hutson. "Neural Crest." In Congenital Heart Diseases: The Broken Heart, 41–53. Vienna: Springer Vienna, 2016. http://dx.doi.org/10.1007/978-3-7091-1883-2_4.

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Manktelow, Ralph T. "Iliac Crest." In Microvascular Reconstruction, 68–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-70329-4_13.

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Khare, C. P. "Cressa cretica Linn." In Indian Medicinal Plants, 1. New York, NY: Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-70638-2_412.

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Semmler, Willi. "Credit, Credit Derivatives, and Credit Default." In Asset Prices, Booms and Recessions, 255–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20680-1_20.

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Ramos, Hugo, and Lindon Robison. "Credit and Credit Policies." In Agriculture and Economic Survival, 225–45. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429046056-9.

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"Crests." In Radioactive Starlings, 35. Princeton University Press, 2018. http://dx.doi.org/10.1515/9781400888764-022.

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"Cresset." In Encyclopedic Dictionary of Archaeology, 336. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58292-0_31050.

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Conference papers on the topic "CRESST"

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Seidel, Wolfgang. "CRESST-II." In Identification of Dark Matter 2010. Trieste, Italy: Sissa Medialab, 2011. http://dx.doi.org/10.22323/1.110.0028.

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BUCCI, C., G. ANGLOHER, C. COZZINI, J. DONCEV, T. FRANK, D. HAUFF, F. PETRICCA, et al. "CRESST DARK MATTER SEARCH." In Proceedings of the Fourth International Workshop. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812791313_0044.

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BRUCKMAYER, M., C. COZZINI, P. DI STEFANO, T. FRANK, D. HAUFF, F. PRÖBST, W. SEIDEL, et al. "CRESST DARK MATTER SEARCH." In Proceedings of the Third International Workshop. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812811363_0050.

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Petricca, Federica. "The CRESST Dark Matter Search." In Identification of dark matter 2008. Trieste, Italy: Sissa Medialab, 2009. http://dx.doi.org/10.22323/1.064.0014.

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Bühler, M., C. Bucci, S. Cooper, F. v. Feilitzsch, J. Höhne, V. Jörgens, M. Loidl, et al. "The CRESST dark matter search." In Proceedings of the First International Workshop on Particle Physics and the Early Universe. WORLD SCIENTIFIC, 1998. http://dx.doi.org/10.1142/9789814447263_0022.

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BAVYKINA, I., A. BENTO, D. HAUFF, P. HUFF, R. LANG, B. MAJOROVITS, E. PANTIC, et al. "THE CRESST DARK MATTER SEARCH." In Proceedings of the Sixth International Workshop. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812770288_0024.

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Cozzini, C., M. Altmann, G. Angloher, M. Bruckmayer, C. Bucci, S. Cooper, P. Di Stefano, et al. "Results of CRESST phase I." In LOW TEMPERATURE DETECTORS: Ninth International Workshop on Low Temperature Detectors. American Institute of Physics, 2002. http://dx.doi.org/10.1063/1.1457690.

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MAJOROVITS, B., C. COZZINI, S. HENRY, H. KRAUS, V. MIKHAILIK, A. J. B. TOLHURST, D. WAHL, et al. "THE CRESST DARK MATTER SEARCH." In Proceedings of the Fifth International Workshop. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812701848_0031.

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Pattavina, Luca. "Light dark matter investigation with CRESST." In Neutrino Oscillation Workshop. Trieste, Italy: Sissa Medialab, 2019. http://dx.doi.org/10.22323/1.337.0096.

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Schmaler, J., G. Angloher, M. Bauer, I. Bavykina, A. Bento, A. Brown, C. Bucci, et al. "Status of the CRESST Dark Matter Search." In THE THIRTEENTH INTERNATIONAL WORKSHOP ON LOW TEMPERATURE DETECTORS—LTD13. AIP, 2009. http://dx.doi.org/10.1063/1.3292420.

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Reports on the topic "CRESST"

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Chung, Gregory K., Joanne K. Michiuye, David G. Brill, Ravi Sinha, Farzad Saadat, Linda F. de Vries, Girlie C. Delacruz, William L. Bewley, and Eva L. Baker. CRESST Human Performance Knowledge Mapping System. Fort Belvoir, VA: Defense Technical Information Center, December 2002. http://dx.doi.org/10.21236/ada453905.

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Wen, Yi, Pengfei Wang, and Feng Dong. Credit Search and Credit Cycles. Federal Reserve Bank of St. Louis, 2015. http://dx.doi.org/10.20955/wp.2015.023.

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Ogle, James P., Md Touhiduzzaman, Quan H. Nguyen, and Priya Thekkumparambath Mana. CReST-VCT System Integration Framework. Office of Scientific and Technical Information (OSTI), February 2020. http://dx.doi.org/10.2172/1601662.

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Stulz, René. Credit Default Swaps and the Credit Crisis. Cambridge, MA: National Bureau of Economic Research, September 2009. http://dx.doi.org/10.3386/w15384.

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Dobbie, Will, Paul Goldsmith-Pinkham, Neale Mahoney, and Jae Song. Bad Credit, No Problem? Credit and Labor Market Consequences of Bad Credit Reports. Cambridge, MA: National Bureau of Economic Research, October 2016. http://dx.doi.org/10.3386/w22711.

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6

Burke, Jeremy, Julian Jamison, Dean Karlan, Kata Mihaly, and Jonathan Zinman. Credit Building or Credit Crumbling? A Credit Builder Loan’s Effects on Consumer Behavior, Credit Scores and Their Predictive Power. Cambridge, MA: National Bureau of Economic Research, July 2019. http://dx.doi.org/10.3386/w26110.

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7

Kiyotaki, Nobuhiro, and John Moore. Credit Cycles. Cambridge, MA: National Bureau of Economic Research, April 1995. http://dx.doi.org/10.3386/w5083.

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8

Hundtofte, Sean, Arna Olafsson, and Michaela Pagel. Credit Smoothing. Cambridge, MA: National Bureau of Economic Research, October 2019. http://dx.doi.org/10.3386/w26354.

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9

Benmelech, Efraim, and Nittai Bergman. Credit Traps. Cambridge, MA: National Bureau of Economic Research, July 2010. http://dx.doi.org/10.3386/w16200.

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Kiyotaki, Nobuhiro, John Moore, and Shengxing Zhang. Credit Horizons. Cambridge, MA: National Bureau of Economic Research, April 2021. http://dx.doi.org/10.3386/w28742.

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