Three-year ANAIS-112 dataset available at The Dark Matter Data Center

Access to ANAIS-112 data:

Thanks to the suppport of the DMDC, funded by the ORIGINS excellence cluster, ANAIS provides a JuPyter Notebook with examples of how to plot the data and to run the RooFit macro for fitting the data. Downloading the repository content is possible via GitLab.

The available ANAIS-112 dataset corresponds to the results published in Phys. Rev. D 103 (2021) 102005, that can be accessed:

The DMDC aims at increasing accessibility to scientific process and knowledge, open data and open source software by offering a repository for experimental data, models and code. The Dark Matter Data Center supports data comparison, combination and interpretation using clear and reproducible methodologies, easing the usability of this data, enabling one to make the most out of it.

ANAIS plans to strengthen this collaboration with the Dark Matter Data Center, supporting open science.

ANAIS @ the Interdisciplinary Seminars “Parametres for Understanding Uncertainty”

Part 3 of the series of interdisciplinary seminars organized at IFT and designed to put researchers in dialogue is


This seminar will take place at IFT, UAM, Campus Cantoblanco, Madrid, on September 30th, 2022.

Series organised by Rebecca Collins, lecturer of Contemporary Art Theory at the University of Edinburgh and David G Cerdeño, Beatriz Galindo distinguished researcher at the UAM-CSIC Institute of Theoretical Physics. Rebecca Collins is currently an artistic researcher in residence at the Institute of Theoretical Physics of the Autonomous University of Madrid (2022-2023).

More information / Register

The third session in the series focuses on the role of process within artistic research and scientific experimentation. The pursuit of the unknown, both within the context of particle physics and artistic research, requires infrastructure, imagination, and experimentation.

The verification and reproducibility of results is a crucial aspect of scientific experimentation, yet such methodologies often bring slower returns and less reward than other searches dedicated to uncovering the unknown. Equally, artistic residencies and their set up within the context of interdisciplinary institutions can involve risk, determination and uncertainty. Such qualities are often overlooked in favour of outcomes, data, products, or timed goals. Whilst, in time these might be achieved, can we reconsider the value of methodologies dedicated to uncovering the unknown?

Areas under discussion include: To what extent is artistic practice a way of knowing? What kind of intervention do artistic residencies offer when situated within scientific institutions? What is the role of art and culture in relation to science and technology? In the context of scientific experimentation to what extent should results be reproducible? What role might failure play in relation to figuring out the unknown?

Ariane Koek is an independent producer, curator and writer recognised internationally for her transdisciplinary work in arts, science, technology and in the creation of new residency programmes. In 2009 she initiated the Arts at CERN programme and was the director until 2015.

Maria Luisa Sarsa Sarsa is Professor of atomic, molecular and nuclear physics at the Department of Theoretical Physics at the University of Zaragoza. She is the Principal Investigator of the ANAIS experiment at the Canfranc Underground Laboratory.

LSC 12th Anniversary celebration

The scientific celebration of the new LSC facilities’ 12th Anniversary took place in Canfranc on June 30th 2022.

Sweet celebration with an outstanding program to recognize the hard work of those contributing to the setting-up and growing of the new LSC. Congratulations!

ANAIS-112 has completed five-years of data taking in August 2022

ANAIS-112 has completed five years of data taking in August 2022 with an excellent duty cycle. Sensitivity prospects point at more than 4 standard deviation sensitivity to DAMA/LIBRA result on annual modulation. Analysis of data is in progress. Two more years of data taking have been scheduled to reach five sigma sensitivity.

Reanalysis of the first three years showed no modulation in the data, being the result incompatible with DAMA/LIBRA with statistical confidence of 3 standard deviation. See:

Recent news on the status of the testing of DAMA/LIBRA puzzle can be found in Nature News, August 16, 2022 by Davide Castelvecchi:


El Centro de Astropartículas y Física de Altas Energías de la Universidad de Zaragoza (UNIZAR) organiza la próxima semana un maratón de actividades relacionadas con las Astropartículas entre el 1 y el 17 de junio de 2022. En ellas, junto con el CAPA, colaboran la Facultad de Ciencias y el Laboratorio Subterráneo de Canfranc. Esta actividad está financiada por FECYT en el marco del proyecto “III Serie de Maratones de Astropartículas: detectores de rayos cósmicos en colegios de ámbito nacional”, FCT-20-16233, que coordina la Universidad de Alcalá.

Visitaremos centros de educación secundaria del 1 al 3 de junio, realizaremos una yincana-maratón el día 3 de junio en el mercado agroalimentario del campus San Francisco y colaboraremos en los talleres de la Semana de Inmersión en la Investigación del 13 al 17 de junio.

The role of ANAIS in solving puzzling excesses in DM searches

Snowmass2021 Cosmic Frontier White Paper: Puzzling Excesses in Dark Matter Searches and How to Resolve Them

Intriguing signals with excesses over expected backgrounds have been observed in many astrophysical and terrestrial settings, which could potentially have a dark matter origin. Astrophysical excesses include the Galactic Center GeV gamma-ray excess detected by the Fermi Gamma-Ray Space Telescope, the AMS antiproton and positron excesses, and the 511 and 3.5 keV X-ray lines. Direct detection excesses include the DAMA/LIBRA annual modulation signal, the XENON1T excess, and low-threshold excesses in solid state detectors. We discuss avenues to resolve these excesses, with actions the field can take over the next several years.

Solicited white paper submitted to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021)