18 pages, 11 figures, additional figures and data in ancillary files
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.
Accepted for publication in A&A. 9 pages, 3 figures
15 pages, 13 figures, submitted to MNRAS, comments welcome
Accepted for publication in Astronomy & Astrophysics Letters
24 pages, 11 figures
17 pages, 10 figures, submitted to A&A
7 pages, AJ in press
19 pages, 19 figures
5 pages, 5 figures, 1 supplemental material. The movie can be found here: this https URL
Accepted in A&A, 16 pages, 14 figures
submitted to MNRAS - 24 pages, 18 figures, comments welcome
13 pages,10 figures, accepted for publication in ApJL
9 pages, 8 figures, accepted for publication in MNRAS
Accepted to AJ. 24 pages, 13 figures, 3 tables
25 pages, 17 figures, 5 tables. Accepted for publication in AN
14 pages, 14 figures. As submitted to MNRAS. Comments welcome
13 pages, 14 Figures, 2 Tables. Accepted for publication on A&A on February 23, 2024
7 pages, 3 figures, accepted for publication in Astronomy and Astrophysics
3 pages, 2 figures
24 pages, 8 figures
accepted by AAS Journals
25 pages, 12 figures
20 pages, 23 figures, accepted for publication in A&A
manuscript before publication
Submitted to A&A - comments are welcome! - 19 pages, 13 figures
25 pages, 13 figures, 14 equations, 4 tables. Submitted to Astrobiology
23 pages, 23 figures, submitted to AJ
Accepted for publication in ApJ
35 pages, 24 figures. Accepted by ApJ for publication
16 pages, 2 figures. Comments Welcome
Proceedings of HEPRO VIII (Paris 2023)
19 pages, 8 figures. The Astrophysical Journal in press
8 pages, 2 figures, 2 tables
10 pages, 13 figures, 5 tables, accepted for publication in MNRAS
19 pages, 16 figures, Accepted to be published in Astronomy and Astrophysics
Submitted to ApJ. 23 pages, 16 figures, 2 tables
54 pages, 18 figures
Submitted to A&A, comments are welcome
18 pages, 16 Figures and 4 Tables. Submitted to A&A
9 pages, 6 figures, submitted to Astronomy & Astrophysics
14 pages, 11 figures. Movie: this https URL
12 pages, 8 figures. A code that computes the non-linear boost can be found at this https URL
13 pages, 10 figures, submitted to MNRAS
All comments are welcome, 22 pages, 4 figures
15 pages, 4 figures
Accepted by A&A
18 pages, 9 figures, Accepted for publication in ApJS
18 pages, 17 figures, 8 tables. We propose a ensemble neural network which demonstrates the feasibility of detecting black holes in the UV band and provides a new method for the accurate and real-time detection of candidate black holes and further parameter estimation
Accepted for publication in MNRAS, 18 pages, 17 figures
6 pages, 4 figures
15 pages, 4 figures
Submitted / Accepted for Publication in AJ, 27 pages, 18 Figures, 5 tables
37 pages, 19 figures
33 pages, 14 figures
38 pages, 18 figures. Submitted
40 pages, 15 figures. Submitted to ApJ. Data is avaible on Github: this https URL Comments to corresponding author welcome at thomas.harvey-3@manchester.ac.uk
9 pages, 7 figures. Based on the contribution to the XVIII Mexican Workshop on Particles and Fields in Puebla, Mexico, November 2022. M\'exico
To be published in The Astrophysical Journal Letters
11 pages, 5 figures
41 pages, 3 figures
20 pages and appendices. Comments are welcome
11pages, 7 figures
5 pages, 2 figures
13 pages, 5 figures