85 research outputs found
A molecular protocol to distinguish syntopic Galapagos land iguanas (Conolophus marthae and C. subcristatus) from faecal samples
When species are endangered, rare, or hard-to-sample, noninvasive sampling methods may prove useful for the purposes of genetic studies or for collecting evidence of the presence of a species. We developed and applied a molecular protocol to rapidly distinguish two syntopic species of Galápagos land iguana (Conolophus marthae and C. subcristatus) using stool samples. We used PCR for the amplification a short region of the mtDNA control region, followed by a selective restriction reaction. The protocol, relatively inexpensive and easy to use, does not require DNA sequencing. It proved highly efficient when applied on fresh feces, while its efficiency decreased to 17% for those that had been exposed to the environment for several days or weeks. Our protocol will prove useful when feces are used to collect indirect information about the diet and geographic occurrence of C. marthae
Improving calving management to further enhance reproductive performance in dairy cattle
The CYGNO experiment, a directional detector with optical readout for Dark Matter search
The CYGNO experiment employs a gaseous Time Projection Chamber (TPC) in conjunction with Gas Electron Multipliers (GEMs) for amplification and optical readout. This configuration holds the potential to achieve precise 3D tracking down to O(1 keV) energies. The primary objective of this novel technique is to enable direct directional measurements of Dark Matter within our Galaxy. We assess the performance of the largest prototype, LIME, at Laboratori Nazionali del Gran Sasso (LNGS), including stability, energy response and resolution, using radioactive X-ray sources and Monte Carlo simulations. These findings will guide the fine-tuning of the CYGNO 04 demonstrator
Charge Amplification in Low Pressure CF4:SF6:He Mixtures with a Multi-Mesh ThGEM for Directional Dark Matter Searches
The CYGNO collaboration is developing next generation directional Dark Matter
(DM) detection experiments, using gaseous Time Projection Chambers (TPCs), as a
robust method for identifying Weakly Interacting Massive Particles (WIMPs)
below the Neutrino Fog. SF6 is potentially ideal for this since it provides a
high fluorine content, enhancing sensitivity to spin-dependent interactions
and, as a Negative Ion Drift (NID) gas, reduces charge diffusion leading to
improved positional resolution. CF4, although not a NID gas, has also been
identified as a favourable gas target as it provides a scintillation signal
which can be used for a complimentary light/charge readout approach. These
gases can operate at low pressures to elongate Nuclear Recoil (NR) tracks and
facilitate directional measurements. In principle, He could be added to low
pressure SF6/CF4 without significant detriment to the length of 16S, 12C, and
19F recoils. This would improve the target mass, sensitivity to lower WIMP
masses, and offer the possibility of atmospheric operation; potentially
reducing the cost of a containment vessel. In this article, we present gas gain
and energy resolution measurements, taken with a Multi-Mesh Thick Gaseous
Electron Multiplier (MMThGEM), in low pressure SF6 and CF4:SF6 mixtures
following the addition of He. We find that the CF4:SF6:He mixtures tested were
able to produce gas gains on the order of 10^4 up to a total pressure of 100
Torr. These results demonstrate an order of magnitude improvement in charge
amplification in NID gas mixtures with a He component.Comment: Corresponding Author: A.G. McLea
Fourier transform infrared spectroscopy for the distinction of MCF-7 cells treated with different concentrations of 5-fluorouracil
A 50 l CYGNO prototype overground characterization
The nature of dark matter is still unknown and an experimental program to look for dark matter particles in our Galaxy should extend its sensitivity to light particles in the GeV mass range and exploit the directional information of the DM particle motion (Vahsen et al. in CYGNUS: feasibility of a nuclear recoil observatory with directional sensitivity to dark matter and neutrinos, arXiv:2008.12587, 2020). The CYGNO project is studying a gaseous time projection chamber operated at atmospheric pressure with a Gas Electron Multiplier (Sauli in Nucl Instrum Meth A 386:531, https://doi.org/10.1016/S0168-9002(96)01172-2, 1997) amplification and with an optical readout as a promising technology for light dark matter and directional searches. In this paper we describe the operation of a 50 l prototype named LIME (Long Imaging ModulE) in an overground location at Laboratori Nazionali di Frascati (LNF) of INFN. This prototype employs the technology under study for the 1 cubic meter CYGNO demonstrator to be installed at the Laboratori Nazionali del Gran Sasso (LNGS) (Amaro et al. in Instruments 2022, 6(1), https://www.mdpi.com/2410-390X/6/1/6, 2022). We report the characterization of LIME with photon sources in the energy range from few keV to several tens of keV to understand the performance of the energy reconstruction of the emitted electron. We achieved a low energy threshold of few keV and an energy resolution over the whole energy range of 10–20%, while operating the detector for several weeks continuously with very high operational efficiency. The energy spectrum of the reconstructed electrons is then reported and will be the basis to identify radio-contaminants of the LIME materials to be removed for future CYGNO detectors
Charge amplification in low pressure CF4:SF6:He mixtures with a multi-mesh ThGEM for directional dark matter searches
The CYGNO collaboration is developing next generation directional Dark Matter (DM) detection experiments, using gaseous Time Projection Chambers (TPCs), as a robust method for identifying Weakly Interacting Massive Particles (WIMPs) below the Neutrino Fog. SF6 is potentially ideal for this since it provides a high fluorine content, enhancing sensitivity to spin-dependent interactions and, as a Negative Ion Drift (NID) gas, reduces charge diffusion leading to improved positional resolution. CF4, although not a NID gas, has also been identified as a favourable gas target as it provides a scintillation signal which can be used for a complimentary light/charge readout approach. These gases can operate at low pressures to elongate Nuclear Recoil (NR) tracks and facilitate directional measurements. In principle, He could be added to low pressure SF6/CF4 without significant detriment to the length of 16S, 12C, and 19F recoils. This would improve the target mass, sensitivity to lower WIMP masses, and offer the possibility of atmospheric operation; potentially reducing the cost of a containment vessel. In this article, we present gas gain and energy resolution measurements, taken with a Multi-Mesh Thick Gaseous Electron Multiplier (MMThGEM), in low pressure SF6 and CF4:SF6 mixtures following the addition of He. We find that the CF4:SF6:He mixtures tested were able to produce gas gains on the order of 104 up to a total pressure of 100 Torr. These results demonstrate an order of magnitude improvement [1] in charge amplification in NID gas mixtures with a He component
Bayesian network 3D event reconstruction in the Cygno optical TPC for dark matter direct detection
The CYGNO experiment is developing a high-resolution gaseous Time Projection Chamber with optical readout for directional dark matter searches. The detector uses a helium-tetrafluoromethane (He:CF4 60:40) gas mixture at atmospheric pressure and a triple Gas Electron Multiplier amplification stage, coupled with a scientific camera for high-resolution 2D imaging and fast photomultipliers for time-resolved scintillation light detection. This setup enables 3D event reconstruction: photomultiplier signals provide depth information, while the camera delivers high-precision transverse resolution. In this work, we present a Bayesian Network-based algorithm designed to reconstruct the events using only the photomultiplier signals, inferring a 3D description of the particle trajectories. The algorithm models the light collection process probabilistically and estimates spatial and intensity parameters on the Gas Electron Multiplier plane, where light emission occurs. It is implemented within the Bayesian Analysis Toolkit and uses Markov Chain Monte Carlo sampling for posterior inference. Validation using data from the CYGNO LIME prototype shows accurate reconstruction of localized and extended straight tracks. Results demonstrate that the Bayesian approach enables robust 3D description and, when combined with camera data, opens the way to future improvements in spatial and energy resolution. This methodology represents a significant step forward in directional dark matter detection, enhancing the identification of nuclear recoil tracks with high spatial resolution
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