Cloud Chamber Research Articles

The Mini Induced Magnetospheres at Mars

AbstractWe report on observations made by the Mars Atmosphere and Volatile EvolutioN spacecraft at Mars, in the region of the ion plume. We observe that in some cases, when the number density of oxygen ions is comparable to the density of the solar wind protons interaction between both plasmas leads to formation in the magnetosheath of mini induced magnetospheres possessing all typical features of induced magnetospheres typically observed at Mars or Venus: a pileup of the magnetic field at the head of the ion cloud, magnetospheric cavity, partially void of solar wind protons, draping of the interplanetary magnetic field around the mini obstacle, formation of a magnetic tail with a current sheet, in which protons are accelerated by the magnetic field tensions. These new observations may shed a light on the mechanism of formation of induced magnetospheres.

IRRADIATION OF CARBON DIOXIDE WITH A VACUUM UV SOURCE AND OBTAINING OF STRATOSPHERIC OZONE

It has been known for more than 100 years that carbon dioxide absorbs photons in the ultraviolet and infrared ranges of radiation, creating a greenhouse effect. However, so far no one has answered the question: what is a photon? It is known that a photon has corpuscular and wave properties, has a certain pressure. An interesting experiment was carried out when a photon was dissected using Wilson chamber and it left traces of the opposite sign. The correct conclusion was made that one trace in the Wilson chamber was left by an electron, and the other - by a positron. There were other experiments, for example: birefringence of light in quartz crystals, Icelandic spar, etc., but there were no correct conclusions made about what a photon is. A photon is an electric dipole, consisting of an electron and a positron charges, without a spin charge-conjugate formation, which has a dipole magnetic field. Carbon dioxide, absorbing photons with a mass of 18.210-31 kg, being structured in the core, turns into triatomic oxygen, that is, into stratospheric ozone. A photon absorbs only a carbon atom that has an excess of spins. Photons absorbed by carbon dioxide (electric dipoles) having a magnetic field interact with the magnetic force lines of the dipole magnetic field of the Earth, and as a result of such interaction, triatomic oxygen-ozone moves into the stratosphere. Stratospheric ozone is not explosive in all aggregate states and at high pressures. In the atmosphere, it enters into a nuclear interaction with neutrons emanating from the sources of future earthquakes, forming water. So, naturally, the ozone layer of the Earth is depleted, replenishing the hydrosphere. Irradiation of CO2 and production of stratospheric ozone is a solution to the problem of climate warming. Stratospheric ozone can be widely used in the defense industry. An airship filled with stratospheric ozone will be much more efficient than airships filled with hydrogen or helium. The production of stratospheric ozone from carbon dioxide is a fundamental discovery in the field of photonuclear physics. Key words: electric dipole, photon, carbon dioxide, stratospheric ozone, photonuclear reaction.

Scaling of Turbulence and Microphysics in a Convection–Cloud Chamber of Varying Height

AbstractThe convection–cloud chamber enables measurement of aerosol and cloud microphysics, as well as their interactions, within a turbulent environment under steady‐state conditions. Increasing the size of a convection–cloud chamber, while holding the imposed temperature difference constant, leads to increased Rayleigh, Reynolds and Nusselt numbers. Large–eddy simulation coupled with a bin microphysics model allows the influence of increased velocity, time, and spatial scales on cloud microphysical properties to be explored. Simulations of a convection–cloud chamber, with fixed aspect ratio and increasing heights of H = 1, 2, 4, and (for dry conditions only) 8 m are performed. The key findings are: Velocity fluctuations scale as H1/3, consistent with the Deardorff expression for convective velocity, and implying that the turbulence correlation time scales as H2/3. Temperature and other scalar fluctuations scale as H−3/7. Droplet size distributions from chambers of different sizes can be matched by adjusting the total aerosol injection rate as the horizontal cross‐sectional area (i.e., as H2 for constant aspect ratio). Injection of aerosols at a point versus distributed throughout the volume makes no difference for polluted conditions, but can lead to cloud droplet size distribution broadening in clean conditions. Cloud droplet growth by collision and coalescence leads to a broader right tail of the distribution compared to condensation growth alone, and this tail increases in magnitude and extent monotonically as the increase of chamber height. These results also have implications for scaling within turbulent, cloudy mixed‐layers in the atmosphere, such as fog layers.

Effective Density Derived from Laboratory Measurements of the Vapor Growth Rates of Small Ice Crystals at −65° to −40°C

Abstract An electrodynamic levitation thermal-gradient diffusion chamber was used to grow 268 individual, small ice particles (initial radii of 8–26 μm) from the vapor, at temperatures ranging from −65° to −40°C, and supersaturations up to liquid saturation. Growth limited by attachment kinetics was frequently measured at low supersaturation, as shown in prior work. At high supersaturation, enhanced growth was measured, likely due to the development of branches and hollowed facets. The effects of branching and hollowing on particle growth are often treated with an effective density ρeff. We fit the measured time series with two different models to estimate size-dependent ρeff values: the first model decreases ρeff to an asymptotic deposition density ρdep, and the second models ρeff by a power law with exponent P. Both methods produce similar results, though the fits with ρdep typically have lower relative errors. The fit results do not correspond well with models of isometric or planar single-crystalline growth. While single-crystalline columnar crystals correspond to some of the highest growth rates, a newly constructed geometric model of budding rosette crystals produces the best match with the growth data. The relative frequency of occurrence of ρdep and P values show a clear dependence on ice supersaturation normalized to liquid saturation. We use these relative frequencies of ρdep and P to derive two supersaturation-dependent mass–size relationships suitable for cloud modeling applications.

In vitro and ex vivo experimental models for evaluation ofintranasal systemic drug delivery as well as direct nose-to-brain drug delivery.

The intranasal route of administration provides a noninvasive method to deliver drugs into the systemic circulation and/or directly into the brain. Direct nose-to-brain drug delivery offers the possibility to treat central nervous system diseases more effectively, as it can evade the blood-brain barrier. In vitro and ex vivo intranasal models provide a means to investigate physiological and pharmaceutical factors that could play a role in drug delivery across the nasal epithelium as well as to determine the mechanisms involved in drug absorption from the nose. The development and implementation of cost-effective pharmacokinetic models for intranasal drug delivery with good in vitro-in vivo correlation can accelerate pharmaceutical drug product development and improve economic and ecological aspects by reducing the time and costs spent on animal studies. Special considerations should be made with regard to the purpose of the in vitro/ex vivo study, namely, whether it is intended to predict systemic or brain delivery, source and site of tissue or cell sampling, viability window of selected model, and the experimental setup of diffusion chambers. The type of model implemented should suit the relevant needs and requirements of the project, researcher, and interlaboratory. This review aims to provide an overview of in vitro and ex vivo models that have been developed to study intranasal and direct nose-to-brain drug delivery.

Molecular Understanding of the Enhancement in Organic Aerosol Mass at High Relative Humidity.

The mechanistic pathway by which high relative humidity (RH) affects gas-particle partitioning remains poorly understood, although many studies report increased secondary organic aerosol (SOA) yields at high RH. Here, we use real-time, molecular measurements of both the gas and particle phase to provide a mechanistic understanding of the effect of RH on the partitioning of biogenic oxidized organic molecules (from α-pinene and isoprene) at low temperatures (243 and 263 K) at the CLOUD chamber at CERN. We observe increases in SOA mass of 45 and 85% with increasing RH from 10-20 to 60-80% at 243 and 263 K, respectively, and attribute it to the increased partitioning of semi-volatile compounds. At 263 K, we measure an increase of a factor 2-4 in the concentration of C10H16O2-3, while the particle-phase concentrations of low-volatility species, such as C10H16O6-8, remain almost constant. This results in a substantial shift in the chemical composition and volatility distribution toward less oxygenated and more volatile species at higher RH (e.g., at 263 K, O/C ratio = 0.55 and 0.40, at RH = 10 and 80%, respectively). By modeling particle growth using an aerosol growth model, which accounts for kinetic limitations, we can explain the enhancement in the semi-volatile fraction through the complementary effect of decreased compound activity and increased bulk-phase diffusivity. Our results highlight the importance of particle water content as a diluting agent and a plasticizer for organic aerosol growth.

Generation of multiple obstruction-free channels for free space optical communication.

Multi-filament structures produced by vortical high-power femtosecond pulses propagating through clouds and fog can simultaneously clear two channels with cylindrical and annular profile. We present a method to achieve Free Space Optical (FSO) communications through such highly scattering media by propagating appropriately shaped laser modes through these channels. As a proof of concept, we implemented a Laguerre-Gaussian beam as information signal carrier to demonstrate transmission of 543-nm CW laser beam through a 1-m long cloud chamber using both channels. The low power of the information signal in this experiment allows considering applications in Earth-satellite FSO communication.

Исследования льдообразующих свойств кластеров из нанотрубок оксида цинка

Introduction. In recent years, the volume of funds used in the practice of weather modification has been growing in the world. Silver, the main component of weather modification funds, is a rather expensive metal. Therefore, the issue of reducing the silver content in the formulations of pyrotechnic compositions or the use of other effective ice-forming agents is relevant. Zinc oxide, like silver iodide, has ice-forming properties. When zinc is sublimated in water vapor, clusters of nanotubes of various sizes are formed. In this regard, experimental studies of the mechanism of ice formation on clusters of zinc oxide nanotubes seem to be an urgent task. The results of these studies are presented in this article. Materials and research methods. During thermal sublimation of reagents nanoscale particles are formed. These particles combine into clusters. The shape and size of these clusters, as well as their ice-forming properties, depend on the thermodynamic state of the medium in which they are formed. Tests of the ice-forming efficiency of such reagents should be carried out in conditions in clouds. This article presents the results of laboratory modeling of the formation of ice crystals during the interaction of zinc oxide clusters consisting of nanotubes, and the results of their comparison with the pyrotechnic composition AD–1 used in practice of weather modification, which is used in anti-hail products of the type «Alazan–6» and «Alazan–9» [1]. Research results and their discussion. The article presents the equipment and methods of performing experiments to study the ice-forming properties of clusters of zinc oxide nanotubes obtained in a cloud chamber during zinc sublimation in the presence of water vapor. The experiments were carried out on laboratory installations in the temperature range from –3 to –14 °C. The effectiveness of a reagent based on clusters of zinc oxide nanotubes has been investigated and compared with the effectiveness of the pyrotechnic composition of AD–1. The research results are presented in Tables 1–6 and Figures 2–7. Conclusions. In the course of laboratory experiments, a method for studying the ice-forming properties of clusters of zinc oxide nanotubes has been developed. When the pyrotechnic composition of AD–1 is sublimated, particles with a diameter from 20 nm to 400 nm with a modal value of 70 nm are formed. Zinc oxide clusters have a porous, loose structure, low density and larger sizes, almost two orders of magnitude larger than the sizes of silver iodide particles. Large ice crystals are formed on them. The total area of crystals formed on clusters of zinc oxide nanotubes is an order of magnitude larger than the total area of crystals formed on particles of the pyrotechnic composition AD–1. The reagent consisting of zinc oxide clusters is comparable in ice-forming characteristics to the pyrotechnic composition of AD–1 and can be recommended for practical use.

放射線の可視化とその効果について

There are some ways to visualize radiations. In this paper, we use a neon hodoscope, a cloud chamber and a web camera. We take a questionnaire from students and analyze it to make vectors. To improve this method, we take an almost same but slightly different questionnaire from the other students. We evaluate the effect of the visualization of radiation on students.

HEMATOPOIETIC PROGENITORS CELLS IN PERIPHERAL BLOOD OF BALB/C MICE UNDER IONIZING RADIATION ACTION IN SUBLETHAL DOSE.

determination of the content of hematopoietic progenitor cells circulating in peripheral blood of Balb/Cmice, under ionizing radiation action in sublethal dose, at different periods after the irradiation, using cell culturein diffusion chambers in vivo. Peripheral blood smears of Balb/C mice were prepared and studied, its cellular composition was determined, as well as by cultivation of peripheral blood cells in diffusion chambers in vivo their colony-forming efficien-cy was determined on the 0th, 5th, and 30th day after external irradiation in sublethal dose 5.85 Gy. The content of myelocytes and metamyelocytes among blood nucleated cells of the irradiated animals wasincreased, compared to control, during the whole investigated period. In particular, on the 30th day after irradiationthe content of myelocytes in peripheral blood was 3.3 ± 0.7 % compared to (0.8 ± 0.4) % in control, and the content of metamyelocytes - (3.4 ± 0.7) % compared to (0.9 ± 0.3) % in control. A significant increase in the amountof circulating progenitor cells in the peripheral blood was observed in the early stages after irradiation (12.5 ± 1.6colony-forming units per 100,000 explanted cells, compared to 5.1 ± 0.8 in control). However, on the 5th day theircontent was slightly reduced compared to control (1.3 ± 0.9), and only to the 30th day a normalization of the amountof progenitor cells occurred in the peripheral blood (6.8 ± 0.7 colony-forming units per 100,000 explanted cells). The analysis of the obtained results revealed an increased level of immature forms of cells in theperipheral blood of irradiated animals, compared to control, in the early stages after irradiation, includinghematopoietic progenitor cells, which are able to colony forming in cell culture. Therefore, the action of ionizingradiation in sublethal dose had a critical effect on the proliferation of hematopoietic cells in bone marrow and provoked their increased migration into the bloodstream. Determination of the content of hematopoietic cells' immature forms in peripheral blood allowed assessing the degree of hematopoietic damage due to the action of ionizing radiation.

Trade Ease With Machine Learning and AWS

Global trading is undergoing significant changes, necessitating modifications to the trading strategies. This study presents a newly developed cloud-based trading strategy that uses Amazon Web Services (AWS), machine learning (ML), and data science to automate trading tasks. The study begins by creating a machine learning trading strategy using a customized deep neural network (DNN). The strategy was then tested using a trading station before deployment on a cloud machine. The execution of the strategy resulted in a total profit of 42.74526 USD, with a test accuracy score of 87.45% and a training accuracy score of 89.15% over 6047 epochs. The roadmap provides a step-by-step overview of the entire process from strategy development to execution. In addition, this study offers insights into related issues and solutions that can enhance the effectiveness of trading strategies. Overall, this study contributes significantly to the field of cloud-based trading strategies and opens avenues for future research.

ID-Care: A Model for Sharing Wide Healthcare Data

All over the world, there is a lot of patient health data in different locations such as hospitals, clinics, insurance companies, and other organizations. In this sense, global identification of the patient has emerged as an everyday healthcare challenge. Governments and institutions have to prioritize satisfactory, quick, and integrated decision-making in a wide, dispersed, and global environment because of unexpected challenges like pandemics or threats. In the current scientific literature, some of the existing challenges include support for a standard global unique identification that considers privacy issues, the combination of multiple technological biometry implementations, and personal documents. Thus, we propose a decentralized software model based on blockchain and smart contracts that includes privacy, global unique person identification supporting multiple combinations of documents, and biometric data using the Global Standards 1 - GS1 healthcare industry standard. Furthermore, we defined a methodology to evaluate a hypothetical use case of this model where an integrated and standard global health data sharing personal identification is crucial. For this, we implemented the proposed model in a global-wide continent location through cloud machines, fog computing, and blockchain considering the unique patient data identification and evaluate a use case scenario based on the top 5 most globally visited tourist destinations (France, Spain, the United States of America, China, and Italy), with an approach based on this model. The results show that using a model for a global id for healthcare can help reduce costs, time, and efforts, especially in the context of health threats, where agility and financial support must be prioritized.

Role of surface chemistry in conditioning of materials in particle accelerators

For the vacuum scientists and the accelerator community, finding solutions to mitigate pressure rises induced by electron, photon and ion desorption, and also beam instabilities induced by ion and electron clouds is a major issue. Along the time, changes in the surface chemistry of vacuum chambers are observed during beam operations, leading to modifications of: outgassing rates, stimulated desorption processes and secondary emission yields (SEY). To understand the role of the surface chemistry of air exposed materials in the electron conditioning process, typical air exposed materials used in particle accelerators : thin film coatings (NEG, i.e a Ti-Zr-V alloy, and carbon), copper (and its oxides Cu2O and CuO) and niobium were conditioned by low energy electron irradiation for a better understanding of electron-cloud effect. First, SEY was measured to understand the changes of surface conditioning upon particle irradiation; then, surface chemistry evolution after electron irradiation was investigated by both XPS and TOF-SIMS analyses using the ANDROMEDE facility at IJCLab. Finally, the relationship between the surface chemistry and the conditioning phenomenon will be discussed.

Measurement method for laser-accelerated multi-hundred-MeV protons utilizing multiple Coulomb scattering in an emulsion cloud chamber

We have developed a measurement method for laser-accelerated multi-hundred-MeV-class protons using an emulsion cloud chamber (ECC), which consists of a stack of nuclear emulsion films and scatterer plates. Based on multiple Coulomb scattering (MCS) theory depending on the incident energy of protons, we have constructed a regression model to inversely estimate the incident energy by means of support vector regression (SVR) with a radial basis function. The prediction accuracy was approximately 10% (standard deviation) for protons with energies up to 0.3 GeV in a 25 layer ECC with 0.5 mm thick tungsten plates, corresponding to a 2 cm thick compact detector.

Ion-induced changes in DNA gels.

Small angle neutron scattering (SANS) measurements are reported for DNA gels under near physiological conditions in which the concentration of monovalent and divalent counter-ions and the pH are varied. The scattering intensity I(q) is described by a two-term equation, one due to osmotic concentration fluctuations and the other coming from static inhomogeneities frozen in by the cross-links. SANS in the low q range indicates the presence of large clusters and the size of which exceeds the resolution of the experiment. In the intermediate q-range, the intensity increases with the CaCl2 concentration and the slope approaches -1, corresponding to linear (rod-like) scatterers. In the highest q region, the scattering response is governed by the local chain geometry. Screening of electrostatic interactions by sodium chloride causes a moderate increase in the SANS intensity that is accompanied by an increase in the mesh size L of the network. Addition of calcium chloride, or a decrease in pH, produces similar trends, and ultimately leads to phase separation. The scattering intensity at q = 0, estimated from independent measurements of the osmotic pressure Π, is in excellent agreement with I(0) from the SANS measurements. Anomalous small angle X-ray scattering (ASAXS) measurements on the uncross-linked DNA show that the monovalent ion cloud is only weakly influenced by the addition of divalent ions. Conversely, the divalent counter-ion cloud tightly follows the contour of polymer chains.

Energy saving slot allocation-based multicast routing in cloud wireless mesh network

Many techniques of cloud computing are affected by surge load and time issues. This proposed method for virtual cloud planning utilise simple protocols in a single or multiple data centres. A new load balanced amortised multi-scheduling algorithm (LBAM) is proposed for assigning the task to cloud based on active load in the cloud environment. The proposed system calculates the multiple attribute weight for each workplace and introduces an application source that changes in application virtualisation environment. The system calculates the cloud data weight based upon the allocation of data and its consequence based on the processing efficiency of the cloud machine. This approach works effectively in most configurations, also virtual machines hold the ability to process load with high pace and efficient memory management. A detailed comparative analysis is made with the existing methods namely SLA, FPGGA and DJS algorithms. The obtained results indicated that the LBAM model is superior to compared methods under several aspects.

Equally Spread Current Execution Load Modelling with Optimize Response Time Brokerage Policy for Cloud Computing

Cloud computing is one of the significant technologies that is used to provide seamless internet surfing for large-scale applications and data storing purposes. The cloud is described as a large platform that enables users to access data from the internet without needing to buy storing space in their equipment such as a computer. Many studies have analysed the load-balancing technique on the cloud to distribute tasks equally between servers using the Equally Spread Current Execution (ESCE) algorithm. ESCE, which is a dynamic load balancer, has quite a few problems such as average level performance and too long of response time which affected the Quality of Services. This research has simulated a cloud computing concept using the ESCE Load Modelling technique with the CloudAnalyst simulator for three servers of Data Center (DC) locations. The ESCE was simulated to enhance its algorithm’s performance as a load balancer and higher throughput in the cloud environment. The result shows that ESCE average overall response time is shortest when the DC is located at R0 with response times of 15.05s, 13.05s with 10 VMs, and 8.631s with the Optimize Response Time brokerage policy. This research is significant to promote notable load-balancing technique testing for virtualized cloud machines data centers on Quality of Services (QoS) aware tasks for Internet of Things (IoT) services.

Study of factors affecting the in vitro release of ketoprofen from carbomers-based gels

The aim. To identify some factors affecting the in vitro release of ketoprofen from carbomer-based gels.
 Materials and methods. Carbomer-based gels containing ketoprofen as well as a Newtonian liquid without carbomer, which was the dispersion medium of the gel, were studied by rotational viscometry and spin probe method. The flow behaviour and rheological parameters were determined using the rheograms, and the rotational correlation times of the two dissolved spin probes, the molecules of which contain a carboxyl group or an amino group, were determined by EPR spectra. In vitro release tests were performed using vertical diffusion chambers using a validated method. The quantitative determination of ketoprofen in gels, liquid and receptor medium was performed by liquid chromatography, and ethanol was quantified by gas chromatography according to validated procedures. Gels with different brands of carbomers, neutralised with trolamine or trometamol, with different contents of ketoprofen and ethanol, and with pH from 6.0 to 7.0 were studied.
 Results. The sol → gel transition due to the neutralisation of the carbomer did not affect the shape and parameters of the EPR spectrum of the spin probe containing a carboxyl group in the molecule (like a carbomer and ketoprofen) in contrast to the probe with an amino group. If the substance dissolved in the gels does not interact with the carbomer, then its molecules/ions rotate rapidly in the liquid medium. This facilitates the release of a such substance from carbomer-based gels. The medicinal product Nobi Gel® gel 2.5 % and Newtonian liquid were equivalent in relation to the in vitro release parameters of ketoprofen from these objects. Сarbomer-based gels, which differed significantly in terms of rheological parameters, were also found to be equivalent in terms of ketoprofen release parameters. The in vitro release of ketoprofen was affected by its concentration and ethanol content in the gel. A change in pH from 6.0 to 7.0 practically did not affect the parameters of in vitro release of ketoprofen from gels.
 Conclusions. The formation of a carbomer-based gel did not affect the rotational correlation time of the probe, which did not interact with the carbomer. Parameters of in vitro release of ketoprofen from the gel and Newtonian liquid differed little; these parameters were also little affected by the difference in apparent viscosity of the gels. The in vitro release of ketoprofen depended on its concentration and ethanol content

Collection efficiencies of ionization chambers in pulsed radiation beams: an exact solution of an ion recombination model including free electron effects

Objective. Boag et al (1996) formulated a key model of collection efficiency for ionization chambers in pulsed radiation beams, in which some free electrons form negatively charged ions with a density that initially varies exponentially across the chamber. This non-uniform density complicates ion recombination calculations, in comparison with Boag’s 1950 work in which a collection efficiency formula, f, was straightforwardly obtained assuming a uniform negative ion cloud. Boag et al (1996) therefore derived collection efficiency formulae f′, f″ and f′″ based on three approximate descriptions of the exponentially-varying negative ion cloud, each uniform within a region. Collection efficiencies calculated by Boag et al (1996) using these formulae differed by a maximum of 5.1% relative (at 144 mGy dose-per-pulse with 212 V applied over a 1 mm electrode separation) and all three formulae are often used together. Here an exact solution of the exponentially-varying model is obtained. Approach. The exact solution was derived from a differential equation relating the number of negative ions collected from within some distance of the anode to numbers of ions initially located within that region. Using the resulting formula, f exp, collection efficiencies were calculated for a range of ionization chamber properties and doses-per-pulse, and compared with f, f′, f″ and f″′ values and results from an ion transport code. Main results. f exp values agreed to 5 decimal places with ion transport code results. The maximum relative difference between f exp and f″′, which was often closest to f exp, was 0.78% for the chamber properties and doses-per-pulse studied by Boag et al (1996), rising to 6.1% at 1 Gy dose-per-pulse and 2 mm electrode separation. Significance. Use of f exp should reduce ambiguities in collection efficiencies calculated using the approximate formulae, although like them f exp does not account for electric field distortion, which becomes substantial at doses-per-pulse ≥100 mGy.

Synchro-PASEF Allows Precursor-Specific Fragment Ion Extraction and Interference Removal in Data-Independent Acquisition

Data-independent acquisition (DIA) methods have become increasingly popular in mass spectrometry–based proteomics because they enable continuous acquisition of fragment spectra for all precursors simultaneously. However, these advantages come with the challenge of correctly reconstructing the precursor–fragment relationships in these highly convoluted spectra for reliable identification and quantification. Here, we introduce a scan mode for the combination of trapped ion mobility spectrometry with parallel accumulation—serial fragmentation (PASEF) that seamlessly and continuously follows the natural shape of the ion cloud in ion mobility and peptide precursor mass dimensions. Termed synchro-PASEF, it increases the detected fragment ion current several-fold at sub-second cycle times. Consecutive quadrupole selection windows move synchronously through the mass and ion mobility range. In this process, the quadrupole slices through the peptide precursors, which separates fragment ion signals of each precursor into adjacent synchro-PASEF scans. This precisely defines precursor–fragment relationships in ion mobility and mass dimensions and effectively deconvolutes the DIA fragment space. Importantly, the partitioned parts of the fragment ion transitions provide a further dimension of specificity via a lock-and-key mechanism. This is also advantageous for quantification, where signals from interfering precursors in the DIA selection window do not affect all partitions of the fragment ion, allowing to retain only the specific parts for quantification. Overall, we establish the defining features of synchro-PASEF and explore its potential for proteomic analyses.