Scientific Instruments Research Articles

Trombone as a solo instrument in the light of organology and historiography

Problem statement. In contemporary instrumentology, the primary task is to identify not only technical but also semantic (artistic) qualities of instruments that belong to the general concept of “instrument style”. This regards trombone artistry, the study of which extends beyond instrumentation and intersects with issues in philosophy, aesthetics, and culture studies. Such contextual understanding of trombone style is presented in this article, which is dedicated to studying the least researched aspects of trombone creativity and performance — solo trombone. The purpose of this paper is to identify the organology characteristics of the instrument within the context of researching the solo trombone. The relevance of the article lies in the demand for comprehensive developments of instrumental styles, including trombone, in contemporary theoretical musicology, as well as the absence of works dedicated to incorporating the corresponding musical material required for developing a similar theme. The results. From the perspective of organology as a comprehensive science of instruments as “organs”, “tools” of musical thinking, trombone is a melodic instrument of the brass aerophones group, which, thanks to its slide, can reproduce segments of the chromatic scale within three octaves with the possibility of natural glissando. The trombone’s acoustic and semantic resources are combined in its stylistic image, allowing for multifunctional use of this instrument in various music genres. The article outlines the path of forming the solo qualities of the trombone, presents classification of the types of trombone soloing, among which solo unaccompanied works for the trombone are highlighted. These mostly include miniatures of both programmatic and non-programmatic content, as well as sonatas for the trombone presented in the works by both foreign and Ukrainian authors. The specificity of such works is concluded in the combination of concert characteristics (the principle of soloing) and chamber characteristics (reproduction in a single voice of ensemble functions with equally potent voices-registers). This layer of trombone creativity is the least researched and therefore requires separate study, the beginning of which is laid out in this article. The scientific novelty of the research. Solo trombone music becomes an autonomous center containing everything characteristic of the trombone image and, within its competence, demonstrates all genres that exist or have existed in it. The proper qualities of the solo trombone are revealed in unaccompanied miniatures, the characteristics of which are illuminated for the first time in this article. Therefore, the issue of involving self-sufficient solo trombone works into musicological discourse pertains not only to the technical aspect but also contributes to a new perspective on the aesthetics and poetics of this instrument, its new philosophy, as demonstrated by the music of the Modern era.

Getting started with spacecraft instrument data: A walkthrough with Voyager 2 magnetometry

Abstract With hundreds of data sets available for public consumption, and with missions ranging from the USSR’s Sputnik satellite in 1957 [1] to NASA’s James Webb Space Telescope (JWST) launched in 2022 [2], it can be difficult and bewildering to know where to start when there is a need to analyze spacecraft instrument data. Many types and generations of technology have been employed in the scientific instruments carried into space since the world’s space agencies were established, and data produced by older instruments are generally less user-friendly in structure and format than data generated by more modern instruments. In this article, we present a general approach to acquiring, understanding, documenting and analyzing instrument data and apply it to a specific example. We chose to explore Voyager 2 data, and the Neptune fly-by in particular, since there is some interest of late in re-examining old data and questioning our assumptions about the ice giants [3,4]. This walkthrough is intended to assist students and researchers in understanding issues unique to spacecraft data and to help facilitate student projects.

Monitoring JUICE deployment operations with high-accuracy accelerometer data

The Jupiter Icy Moons Explorer (JUICE) mission is a cornerstone of ESA's Cosmic Vision 2015–2025 program devoted to the scientific exploration of Jupiter and its icy moons. Launched on April 14, 2023, from French Guiana, JUICE will perform multiple gravity assists, including an unprecedented lunar-Earth double gravity assist, in order to shape its trajectory to Jupiter, where it will arrive in July 2031. Thanks to a suite of 10 scientific instruments, JUICE will carry out a comprehensive investigation of the jovian system, with special focus on Ganymede. Among these experiments is the Gravity and Geophysics of Jupiter and the Galilean Moons (3GM) radio science and planetary geodesy experiment, supported by the onboard High Accuracy Accelerometer (HAA). The HAA, a three-axis spring mass accelerometer, measures the non-gravitational perturbations acting on the spacecraft, that need to be measured in order to fully exploit the highly accurate range and range rate measurements of 3GM. This paper analyzes the HAA data collected in the very early phase of the mission, to monitor the initial deployment of the spacecraft's moving appendages. The vibration modes of the magnetometer boom and solar arrays were clearly detected during the appendages' deployment, as well as the latching of the Langmuir probe hinges. The detected resonance frequencies of the first and second magnetometer boom bending modes are equal to 0.44 and 0.46 Hz, respectively. The HAA data contributed to identifying the root-cause of the anomalous Radar for Icy Moon Exploration (RIME) antenna deployment. The strong external perturbations due to the actuators' activation have been used to characterize the spacecraft tranquillization time. Despite the significant increase in the spacecraft noise floor during deployment events, the full sensitivity of the instrument was regained within 10 min. This information can be used to plan the spacecraft operations during the scientific phase of the mission.

TWINKLE: An open-source two-photon microscope for teaching and research.

Many laboratories use two-photon microscopy through commercial suppliers, or homemade designs of considerable complexity. The integrated nature of these systems complicates customization, troubleshooting as well as grasping the principles of two-photon microscopy. Here, we present "Twinkle": a microscope for Two-photon Imaging in Neuroscience, and Kit for Learning and Education. It is a fully open, high-performance and cost-effective research and teaching microscope without any custom parts beyond what can be fabricated in a university machine shop. The instrument features a large field of view, using a modern objective with a long working distance and large back aperture to maximize the fluorescence signal. We document our experiences using this system as a teaching tool in several two week long workshops, exemplify scientific use cases, and conclude with a broader note on the place of our work in the growing space of open-source scientific instrumentation.

The social agency of instruments of surveying and exploration c.1830–1930

ABSTRACT This paper utilizes the concept of the agency of material objects, proposed as a tenet by several historians of science in the late twentieth century. It argues that scientific instruments have agency in the field due to their value and fragility, both of which attributes served to dictate a social hierarchy of activity. Furthermore, the resulting numerical outputs served to discriminate between various groups. The principal focus is the role of instruments used by travellers sponsored by the Royal Geographical Society, London, but it also looks at the role of instruments on a larger triangulation; the project to survey the African part of the arc of the 30th meridian east of Greenwich. Seeing the instruments as material objects allows insights into the social arrangements and interactions taking place. It is argued that instruments, and the results of instrument use, entrenched existing power hierarchies, imparting greater prestige to those who were previously endowed with privilege. It is argued the instruments contributed to ‘othering’ both in the field and in the publications resulting from the expeditions.

Buscando Luciérnagas: findings on Mexican fireflies from an 8-year virtual citizen science project.

Fireflies are charismatic and conspicuous animals that often evoke childhood memories, which make firefly watching an emotional and even transformative experience. Citizen science projects have the potential to enhance transformative interactions with nature. Like many insects, firefly populations are declining due to land-use change, urbanization and watershed pollution, but ecological data for this group is scarce, particularly in Mexico. Virtual Citizen Science (VCS) initiatives can serve as a scientific instrument, yield reliable and relevant scientific data, and may also offer a platform to promote broader educational outcomes. We established a VCS project to document fireflies through a Facebook page named Buscando Luciernagas with the following hashtag in every post #veobrillar in 2015. After seven years we complied the gathered data and analyzed the results. We had 647 reports in total, with strong fluctuations from year to year that were correlated with the number of posts and publicity we made each year. The largest number of sightings (319) occurred in 2021, coinciding with a change in our reporting format. Most of the reports came from central Mexico (91.5%), but we had reports from eight states and also received some international reports from nine different countries. Fireflies were most frequently seen in habitats characterized as grasslands (35%) or forests (27%), followed by gardens (17%), vacant lots (9%) and parks (5%) but also paved areas and agricultural lands were reported (3% each). Most citizen scientists reported few fireflies, 1-5 individuals (31%) while only 11% reported more than 50 fireflies per sighting. Our study can serve as a preliminary approach to explore more focused research areas in the future. For example, in areas with no sightings, we could reach out to specific local people to corroborate that there are no fireflies in the region, or in areas with high sightings we could promote conservation measures. Notably, we found it intriguing to discover numerous sightings of fireflies in urban areas, which could offer a potential avenue for further research in urban ecology.

Mathematical Modeling of Electrical Power Systems for Fault Detection

Control networks are critical offices that have to be exceptionally solid and productive. Finding issues in these frameworks is exceptionally imperative for keeping them steady, keeping gear from breaking, and maintaining a strategic distance from long power blackouts. It has gotten to be clear that scientific modeling may be a awesome way to think about and discover issues in control frameworks. Taking after this strategy requires making a scientific show of the control framework, which incorporates motors, transformers, transmission lines, and loads. A few physical laws, like Ohm's Law and Kirchhoff's laws, are frequently utilized within the models to accurately show how electrical circuits work when they are working legitimately and when they aren't. On the off chance that you need to discover issues, you'll utilize numerical models to form flaws like brief circuits, open circuits, and ground deficiencies appear genuine. Through examining how the framework responds to these fake issues, engineers can make programs that can discover genuine flaws and tell where they are when they happen. These calculations frequently utilize strategies like evaluating the state, evaluating the parameters, and recognizing designs. Utilizing real-time information to figure the current state of the framework is what state estimation is all approximately. On the other hand, parameter estimation is all almost finding changes in framework parameters that might cruel there is a problem. Design acknowledgment employments past information and machine learning to discover peculiarities and sort diverse sorts of flaws. Differential conditions, framework polynomial math, and numerical strategies are fair some of the progressed science instruments that are frequently utilized to unravel the complicated conditions that depict how the power framework works. Putting these models beside unused computer innovations like high-performance computing and real-time simulations makes issue location strategies more exact and quicker. As green vitality sources and shrewd network advances are included to control frameworks, they will continue to alter. Mathematical modeling will become more and more important to make sure they work safely and efficiently. It talks about how to mathematically model electrical power systems to find faults, what they can be used for, and what the future holds for this field.

High-precision temperature control of helium Joule–Thomson cryocooler: Long-term temperature stability

To meet the refrigeration requirements of scientific instruments for mK-level temperature stability over a long-time range in the liquid helium temperature, the temperature characteristics and high-precision control strategies of the helium Joule-Thomson cryocooler (JTC) have been experimentally investigated for the first time. Based on the Ideal Gas Law, the influencing mechanism of pre-cooling temperature, gas reservoir volume, and liquid phase volume fraction on refrigeration temperature were qualitatively analyzed and experimentally verified. An active control studies of pre-cooling temperature, low-pressure and heat load were carried out to verify the feasibility of active temperature control of helium JTC. Finally, a long-term temperature stability of ±1 mK/h was successfully achieved when a multi-stage active control strategy was adopted, which is the optimal long-term temperature stability of helium JTC that have been reported to date.

Domesticating Human Capital

This article investigates the consumption of knowledge in early modern Amsterdam. A dataset of seventeenth- and eighteenth-century probate inventories is employed to examine the synergies and inequalities between the skilled and educated middle classes and the intellectual elites. A series of democratisation waves in the ownership of books, writing equipment, and measuring tools confirms the unprecedented levels of basic literacy and numeracy skills in the urban centres of the early modern Low Countries revealed by research on signature proficiency and age heaping. The concentration of secular books and advanced knowledge objects in the hands of a small but growing group of affluent households, on the other hand, corresponds to other research that has fixated instead on the role of upper-tail human capital in scientific, technological, and economic progress. Yet, the relatively low value estimates of libraries and scientific instruments, together with a more qualitative examination of two amateur scientists of middling background, dovetails with the hypothesis that the Dutch Scientific Revolution and Enlightenment were marked by a close interaction and mobility between craftsmen and scientists. An above-average income and enough leisure time to develop intellectual interests could be sufficient for inhabitants of Amsterdam to cross the Rubicon from consuming to (re)producing knowledge.

The Visual Monitoring Camera (VMC) on Mars Express: A new science instrument made from an old webcam orbiting Mars

The Visual Monitoring Camera (VMC) is a small imaging instrument onboard Mars Express with a field of view of ∼40°x30°. The camera was initially intended to provide visual confirmation of the separation of the Beagle 2 lander and has similar technical specifications to a typical webcam of the 2000s. In 2007, a few years after the end of its original mission, VMC was turned on again to obtain full-disk images of Mars to be used for outreach purposes. As VMC obtained more images, the scientific potential of the camera became evident, and in 2018 the camera was given an upgraded status of a new scientific instrument, with science goals in the field of Martian atmosphere meteorology. The wide Field of View of the camera combined with the orbit of Mars Express enable the acquisition of full-disk images of the planet showing different local times, which for a long time has been rare among orbital missions around Mars. The small data volume of images also allows videos that show the atmospheric dynamics of dust and cloud systems to be obtained. This paper is intended to be the new reference paper for VMC as a scientific instrument, and thus provides an overview of the updated procedures to plan, command and execute science observations of the Martian atmosphere. These observations produce valuable science data that is calibrated and distributed to the community for scientific use.

What does a scientist look like? Children's perceptions of scientist gender and skin tone

AbstractWhen asked to draw a scientist, children typically draw a gender stereotypical male representation; however, research has not yet assessed these representations in terms of scientist stereotypical skin tone. The current study examined children's (N = 69, 66.7% female, Mage = 7.60, SD = 2.13) scientist perceptions by analyzing both the gender and skin tone of their scientist drawings as well as stereotypical features represented (lab coats, scientific instruments, etc.). This study also examined how these perceptions as reflected in the drawings were related to children's explicit gender stereotypes and their science growth mindset. Boys were less likely to draw a female scientist than were girls. Additionally, children with higher growth mindset were more likely to draw a female scientist. Lastly, with age, children were less likely to draw a female scientist, or a darker skin‐toned scientist as compared with a male or lighter skin‐toned scientist and were more likely to draw a scientist with stereotypical features. This study furthers our knowledge of children's perceptions about scientists.

Health Infrastructures in India with Special Reference to MSME Sector - An Assessment

The healthcare enterprise consists of each the general public and business sectors and consists of scientific tourism, hospitals, fitness insurance, scientific equipment, and outsourcing. The creation of healthcare products, inclusive of scientific equipment, instruments, and services, in addition to for biotechnology and diagnostic laboratories via way of means of Indian Startups affords an answer within side the shape of healthcare services and products and quickens technological innovation to face up to international competition. The National Health Policy, which changed into posted in 2017 to construct the fitness care infrastructure, and the Pradhan Mantra Ayushman Bharat understand the significance of pharmaceutical agencies for enhancing healthcare. The pinnacle 20 markets for scientific gadgets are closely encouraged with the aid of using the scientific tool sector. MSME makes up 6.11% of the GDP from manufacturing, 24.63% of the GDP from services, and 45% of the whole exports. According to the Medical Tourism Index (MIT) for 2020–21, scientific era in India is predicted to attain US $50 billion with the aid of using 2025 and is now positioned 10th. Out of forty six international locations, India`s healthcare marketplace is predicted to attain US$372 billion with the aid of using 2022.usedsecondary data in this paper for discussed Health infrastructures and evaluate role of Health facilities and problems in Health sector in India by secondary source.

The NIRSpec Wide GTO Survey

The Near-infrared Spectrograph (NIRSpec) on the James Webb Space Telescope is uniquely suited to studying galaxies in the distant Universe with its combination of multi-object capabilities and sensitivity over a large range in wavelength (0.6 − 5.3 μm). Here we present the NIRSpec Wide survey, part of the NIRSpec Instrument Science Team’s Guaranteed Time Observations, using NIRSpec’s microshutter array to obtain spectra of more than 3200 galaxies at z > 1 at both low and high resolution (R ≈ 100 and 2700) for a total of 105 hours. With 31 pointings covering ≈320 arcmin2 across the five CANDELS fields with exquisite ancillary photometry from the Hubble Space Telescope, the NIRSpec Wide survey represents a fast and efficient way of probing galaxies in the early Universe. Pointing centers are determined to maximize the observability of the rarest, high-value sources. Subsequently, the microshutter configurations are optimized to observe the maximum number of “census” galaxies with a selection function based primarily on HST/F160W magnitude, photometric or slitless grism redshift, and predicted Hα flux tracing the bulk of the galaxy population at cosmic noon (zmed = 2.0). We present details on the survey strategy, the target selection, an outline of the motivating science cases, and discuss upcoming public data releases to the community.

Validity of Project Model Science Learning Tools Assisted by Augmented Reality to Improve Students' Literacy and Creative Thinking Abilities

The development of project model science learning tools assisted by augmented reality has been carried out to improve students' literacy and creative thinking abilities. This development research aims to produce a valid product and describe the results of the validation of the learning device so that it is suitable for use in the learning process. This type of research is research and development with 4D model design which consists of the definition, design, development and dissemination stages. Validation of learning tools was carried out by three competent expert validators at Mataram University. The development of augmented reality-assisted project model science learning tools developed consists of a syllabus, lesson plans, teaching materials, LKPD, augmented reality media as well as scientific literacy test instruments and creative thinking ability test instruments. The results of the research show that the project model science learning tools assisted by augmented reality have very valid and reliable criteria so that they are suitable for use in the science learning process in schools to improve students' scientific literacy and creative thinking abilities.

Identification and preliminary characterisation of signals recorded by instrument for lunar seismic activity at the Chandrayaan 3 landing site

The science objective of the Instrument for Lunar Seismic Activity (ILSA) is to study the seismicity at the landing site of the Indian lunar mission, the Chandrayaan 3. It also aimed at demonstrating the capability of devices based on silicon micromachining technology to survive and operate in planetary missions and environments. The Chandrayaan 3 mission had a lander and a rover together carrying five different scientific instruments. ILSA was placed on the lunar surface and had six accelerometers in it. It was operated during the lunar day from 24 August 2023 to 4 September 2023. This paper presents the summary of observations made on 190 h of data recorded by ILSA. We have identified more than 250 distinct signals of which about 200 signals are correlated to known activities involving the physical movements of the rover or the operation of science instruments. This paper presents our approach in the preliminary characterisation and cataloguing of the events based on their temporal properties and spectral contents. It will also act a guide for the future researchers to search, identify and analyse the records made by ILSA.

MAP-IO: an atmospheric and marine observatory program on board Marion Dufresne over the Southern Ocean

Abstract. This article is devoted to the presentation of the MAP-IO observation program. This program, launched in early 2021, has enabled the observation of nearly 700 d of measurements over the Indian and Southern Ocean with the equipment of 17 meteorological and oceanographic scientific instruments on board the ship Marion Dufresne. Several observational techniques have been developed to respond to the difficulties of observations on board the ship, in particular for passive remote sensing data, as well as for quasi-autonomous data acquisition and transfer. The first measurements made it possible to draw up unprecedented climatological data of the Southern Ocean regarding the size distribution and optical thickness of aerosols, the concentration of trace gases and greenhouse gases, UV, and integrated water vapor. High-resolution observations of phytoplankton in surface waters have also shown a great variability in latitude in terms of abundance and community structure (diversity). The operational success of this program and these unique scientific results together establish a proof of concept and underline the need to transform this program into a permanent observatory. The multi-year rotations over the Indian Ocean will enable us to assess the trends and seasonal variability of phytoplankton, greenhouse gases, ozone, and marine aerosols in a sensitive and poorly documented climatic region. Without being exhaustive, MAP-IO should make it possible to better understand and assess the biological carbon pump, to study the variability of gases and aerosols in a region that is remote in relation to the main anthropogenic sources, and to monitor the transport of stratospheric ozone by the Brewer–Dobson circulation. The meteorological MAP-IO data set is publicly available at https://www.aeris-data.fr/catalogue-map-io/ (last access: 26 August 2024) (atmospheric data) and at https://doi.org/10.17882/89505 (Thyssen et al., 2022a) (phytoplankton data).

Science of science: A multidisciplinary field studying science

Science and knowledge are studied by researchers across many disciplines, examining how they are developed, what their current boundaries are and how we can advance them. By integrating evidence across disparate disciplines, the holistic field of science of science can address these foundational questions. This field illustrates how science is shaped by many interconnected factors: the cognitive processes of scientists, the historical evolution of science, economic incentives, institutional influences, computational approaches, statistical, mathematical and instrumental foundations of scientific inference, scientometric measures, philosophical and ethical dimensions of scientific concepts, among other influences. Achieving a comprehensive overview of a multifaceted field like the science of science requires pulling together evidence from the many sub-fields studying science across the natural and social sciences and humanities. This enables developing an interdisciplinary perspective of scientific practice, a more holistic understanding of scientific processes and outcomes, and more nuanced perspectives to how scientific research is conducted, influenced and evolves. It enables leveraging the strengths of various disciplines to create a holistic view of the foundations of science. Different researchers study science from their own disciplinary perspective and use their own methods, and there is a large divide between quantitative and qualitative researchers as they commonly do not read or cite research using other methodological approaches. A broader, synthesizing paper employing a qualitative approach can however help provide a bridge between disciplines by pulling together aspects of science (economic, scientometric, psychological, philosophical etc.). Such an approach enables identifying, across the range of fields, the powerful role of our scientific methods and instruments in shaping most aspects of our knowledge and science, whereas economic, social and historical influences help shape what knowledge we pursue. A unifying theory is then outlined for science of science – the new-methods-drive-science theory.

Novel Fast-X-Ray Reflectivity Setup for Studying Electrochemical Interfaces

A fundamental understanding of atomic scale processes occurring at electrochemical interfaces is crucial for advancing the development of energy-related electrochemical systems such as ion batteries or fuel cells. For this purpose, operando experiments are imperative. X-ray reflectivity (XRR) is a non-destructive technique that enables operando analysis of buried structures with atomic resolution [1,2]. However, the time-resolution of typical XRR setups of minutes per XRR scan is limited by diffractometer motor motion and detector read-out times; this resolution is in many cases too slow to observe interfacial electrochemical phenomena [1,2].To overcome these limitations, we developed a novel fast-XRR setup, which employs a fast quasi-continuous rotation stage in combination with a stationary, high frame rate area detector. With this setup, the sample can be rotated with a frequency of up to 10 Hz, yielding sub-second time resolution for an individual XRR scan. In contrast to complementary fast-XRR setups [3,4], the presented setup can easily be combined with complex sample environments, as typically required for the investigation of electrochemical interfaces.We present first fast-XRR results obtained at PETRA III beamline P08 at DESY using 18 keV and a Dectris Eiger1M detector. We reached a time resolution below one second for an incident angular range between 0° – 6° (≙ 0 – 2 Å-1, i.e., covering the Fresnel XRR range). We measured several multilayer samples (e.g., 2 nm Ti / 20 nm Au coating on a Si substrate) and benchmarked the results to “standard” XRR measurements, where the measurements took several minutes. We find good agreement and conclude, that our novel setup provides significant XRR data within less than one second, demonstrating its usability for operando XRR measurements.Literature:[1] C. Cao, H.-G. Steinrück, Encyclopedia of Solid-Liquid Interfaces, 391–416, Elsevier, 2024.[2] C. Cao, H.-G. Steinrück et al., Nano Letters, 16, 12, 7394–7401, 2016.[3] M. Lippmann et al. Review of Scientific Instruments, 87, 113904, 2016.[4] H. Jorres et al., Applied Physics Letters, 114, 081904, 2019.

A galactic approach to neutron scattering science

Neutron scattering science is leading to significant advances in our understanding of materials and will be key to solving many of the challenges that society is facing today. Improvements in scientific instruments are actually making it more difficult to analyze and interpret the results of experiments due to the vast increases in the volume and complexity of data being produced and the associated computational requirements for processing that data. New approaches to enable scientists to leverage computational resources are required, and Oak Ridge National Laboratory (ORNL) has been at the forefront of developing these technologies. We recently completed the design and initial implementation of a neutrons data interpretation platform that allows seamless access to the computational resources provided by ORNL. For the first time, we have demonstrated that this platform can be used for advanced data analysis of correlated quantum materials by utilizing the world's most powerful computer system, Frontier. In particular, we have shown the end-to-end execution of the DCA++ code to determine the dynamic magnetic spin susceptibility χ(q, ω) for a single-band Hubbard model with Coulomb repulsion U/t = 8 in units of the nearest-neighbor hopping amplitude t and an electron density of n = 0.65. The following work describes the architecture, design, and implementation of the platform and how we constructed a correlated quantum materials analysis workflow to demonstrate the viability of this system to produce scientific results.

Coincident learning for unsupervised anomaly detection of scientific instruments

Abstract Anomaly detection is an important task for complex scientific experiments and other complex systems (e.g. industrial facilities, manufacturing), where failures in a sub-system can lead to lost data, poor performance, or even damage to components. While scientific facilities generate a wealth of data, labeled anomalies may be rare (or even nonexistent), and expensive to acquire. Unsupervised approaches are therefore common and typically search for anomalies either by distance or density of examples in the input feature space (or some associated low-dimensional representation). This paper presents a novel approach called coincident learning for anomaly detection (CoAD), which is specifically designed for multi-modal tasks and identifies anomalies based on coincident behavior across two different slices of the feature space. We define an unsupervised metric, F ^ β , out of analogy to the supervised classification F β statistic. CoAD uses F ^ β to train an anomaly detection algorithm on unlabeled data, based on the expectation that anomalous behavior in one feature slice is coincident with anomalous behavior in the other. The method is illustrated using a synthetic outlier data set and a MNIST-based image data set, and is compared to prior state-of-the-art on two real-world tasks: a metal milling data set and our motivating task of identifying RF station anomalies in a particle accelerator.