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Gy

The gray (symbol: Gy) is the International System of Units (SI) derived unit of , measuring the amount of energy absorbed per unit mass of a specified material, defined as one joule per kilogram. It quantifies the energy deposited by in matter, applicable to any type of such including alpha, beta, gamma, or neutrons, and is essential for in fields like , nuclear safety, and radiological protection. Adopted in 1975 as part of the SI system, the gray replaced the older cgs unit , with one gray equivalent to 100 rads, providing a standardized for assessing biological risks from exposure levels that can range from diagnostic doses under 0.01 Gy to lethal whole-body exposures above 4–5 Gy. Named after British physicist Louis Harold Gray, who pioneered contributions to in the mid-20th century, the unit facilitates precise calculations of absorbed energy independent of type or biological effects, though effective dose equivalents like the account for varying tissue sensitivities.

Units of measurement

Gray

The gray (symbol: Gy) is the (SI) derived unit of , measuring the energy deposited by per unit mass of irradiated material. It is defined as the absorption of 1 joule of energy per of matter, expressed as 1 Gy = 1 J/. This unit quantifies the physical energy transfer from (such as alpha particles, beta particles, gamma rays, or neutrons) to any absorbing medium, including human tissue, without regard to biological effects. The gray replaced the older unit, where 1 Gy equals 100 rad, with the rad defined as 100 ergs per gram (or 0.01 J/kg). The International Commission on Radiation Units and Measurements (ICRU) recommended adopting the gray as the unit in July 1974, following the broader shift to SI metrics in ; it officially supplanted the rad in 1975. The unit is named after Louis Harold Gray, a who contributed to early research in the mid-20th century. In and , the gray is applied to calculate doses from sources like diagnostic s, radiotherapy, or occupational exposures, often in subunits such as milligray (mGy = 10⁻³ Gy) or microgray (μGy = 10⁻⁶ Gy) for low-level exposures. For instance, a typical chest delivers about 0.02–0.1 mGy to the chest , while thresholds begin around 1–2 Gy whole-body exposure. However, the gray measures only physical absorption and does not incorporate -type-specific biological damage; for that, the in sieverts (Sv) is used, where 1 Sv = 1 Gy multiplied by a weighting factor (e.g., 1 for gamma rays, 20 for alpha particles). This distinction ensures that while the gray provides a fundamental metric for deposition, risk assessments in protection standards rely on weighted equivalents to reflect varying harm potentials.

Giga-year

The giga-year, abbreviated as Gy or Gyr, denotes a period of one billion years, equivalent to $10^9 years. This derives from the SI prefix "giga-" signifying $10^9, applied to the year as a base time interval of approximately 365.25 days or 31,557,600 seconds in astronomical contexts. An alternative abbreviation, Ga, reflects "giga-annum" (Latin for year), particularly in geological . Introduced in the mid-20th century to quantify pre-Quaternary geological epochs and mineral ages, the giga-year addresses the limitations of smaller units like the megayear ($10^6 years) for vast timescales. In astronomy, it measures cosmic , such as stellar lifetimes exceeding solar scales or dynamical processes over billions of years, including orbital perturbations around planets like Mars under solar radiation pressure. Geologists employ it for dating rock formations and planetary history, where events like Earth's formation align with intervals on this order. The unit facilitates precise expression of empirical data from and astrophysical models, avoiding cumbersome numerical strings; for instance, the Hubble time approximates 13.8 Gyr, reflecting the universe's expansion age derived from observations. In stellar , it quantifies age-activity relations for cool beyond one Gyr, linking rotation rates to emissions via asteroseismology. Such applications underscore its role in causal analyses of long-term phenomena, from evolution in systems like HD 202628 to paleo-detector imprints of rates over gigayear spans.

Galactic year

The galactic year, also known as the cosmic year, is the required for the Solar System to complete one revolution around the of the galaxy. This duration is approximately 230 million years, based on the Sun's orbital radius of about 26,000 light-years from the and its orbital velocity of roughly 220 kilometers per second. Alternative estimates range from 220 to 250 million years, reflecting uncertainties in the precise orbital path, which is not perfectly circular but follows a slightly elliptical influenced by the galaxy's barred spiral and distribution. The value is derived from measurements of the Milky Way's rotation curve, combining , radio observations of neutral hydrogen, and dynamical modeling. For instance, the can be approximated using Keplerian principles adjusted for the flat rotation curve typical of spiral galaxies, where T = \frac{2\pi r}{v}, with r \approx 8 kiloparsecs and v \approx 220 km/s yielding around 225–230 million years. NASA's analyses, drawing from data like that from the satellite and mission, consistently place the figure near 230 million years, emphasizing the Solar System's position in the galactic disk. In geological and astronomical contexts, the provides a timescale for long-term galactic evolution; for example, , aged about 4.6 billion years, has completed roughly 20 such orbits. This motion contributes to the Solar System's total velocity relative to the , at approximately 370 km/s toward the constellation . Variations in estimates arise from refinements in galactic mass models, but empirical data from stellar proper motions prioritize values in the 225–240 million year range over earlier approximations like 200 million years.

Places

Gy, France

Gy is a commune in the Haute-Saône department of the Bourgogne-Franche-Comté region in eastern , situated approximately 35 kilometers northeast of , the departmental prefecture, and 303 kilometers from . The commune covers an area of 24.60 square kilometers, with altitudes ranging from 198 meters to 380 meters, characteristic of the gently rolling terrain in the Vallée de l'Ognon. It belongs to the Communauté de communes des Monts de Gy and is classified as a Petite Cité Comtoise de Caractère, highlighting its preserved historical architecture and rural charm. As of the census, had a of 1,001 residents, reflecting a decline from 1,089 in 2015 and 1,048 in 2010, with an average annual decrease of 1.4% over the 2015–2021 period. The stands at 40.7 inhabitants per square kilometer. Demographically, the commune exhibits an aging profile: 16.8% of residents are under 15 years old, 14.5% are aged 15–29, 14.8% are 30–44, 21.0% are 45–59, 20.4% are 60–74, and 12.5% are 75 or older, indicating a higher proportion of older adults compared to younger cohorts. Females comprise 53.1% of the population (532 individuals), slightly outnumbering males (469). Archaeological evidence points to human occupation in Gy dating back to the final and early , around 700 BCE, with ancient tombs discovered in the area. The settlement is first documented in official records in 1049, though lands in the region belonged to the Counts of by the . Until 1091, the village remained under comital control, after which it passed to ecclesiastical oversight, particularly the Archbishops of , who resided in the local for nearly seven centuries, shaping much of its medieval development. Gy also gained prominence in the for its , with surrounding vineyards producing renowned grands crus that contributed to regional wine trade before a later decline. The Château de Gy, a key historical landmark, served as the primary residence for the Archbishops of , offering seclusion from urban and featuring an octagonal tower and preserved wooden interiors; its multi-century history underscores the commune's feudal and ecclesiastical ties. Other notable sites include the Église Saint-Symphorien, a 19th-century structure with Gothic elements, and the Grande Fontaine de Gy, a public fountain emblematic of local hydraulic heritage. The old town's narrow streets and half-timbered houses reflect Comtois architectural styles, preserved through classification efforts. Economically, Gy remains predominantly rural, with activities centered on , , and small-scale local services, as evidenced by communal wood allocation (affouage) practices for heating and construction in 2025–2026. Historical has waned, but the broader context emphasizes farming, including dairy and cattle, alongside limited industry, aligning with regional trends in bio-based production. The commune's administration, led by its mayor and , focuses on sustainable practices, such as year-round bans on burning to prevent fires.

Gy, Switzerland

Gy is a municipality in the canton of Geneva, , located approximately 11 kilometers northeast of city center and directly adjacent to the French border. The commune spans a rural characterized by preserved countryside, woodlands, and agricultural fields, with sub-localities including the central village of Gy, Beaupré, Les Longeraies, and Les Étoiles. Its proximity to urban facilitates commuter patterns while maintaining a tranquil, low-density setting. Historical records first reference the area in 1227 as Gyez, evolving to Giez by 1289, reflecting its medieval origins within the broader Genevan region. The municipality's —a sheaf of corn on a blue field—derives from the of d'Airebaudouze, a associated with local estate development, including a structure. operates through a municipal and , with administrative services centered at the Mairie de Gy, handling local events such as waste management and community gatherings. A prominent landmark is the Temple de Gy, the first Protestant temple erected on Genevan soil following the , inaugurated in 1611 on a hill overlooking the village. Its architecture has remained largely unaltered over four centuries, serving as a key site for the Paroisse de Jussy within the Église Protestante de Genève. The temple underscores the region's post-Reformation religious consolidation under Genevan Protestant authority. Demographically, maintains a small of approximately 497 residents as of recent mappings, with a mix of nationals and non- inhabitants engaged primarily in local agriculture, services, and cross-border employment in . Contact for municipal affairs is available via the official channels, including phone (090 112 60 16) and email ([email protected]). The commune emphasizes sustainable rural preservation amid regional pressures.

People

Pierre Gy

Pierre Maurice Gy (July 25, 1924 – November 5, 2015) was a chemist and who pioneered the Theory of Sampling (TOS), a framework for obtaining representative samples from heterogeneous particulate materials. Born in to parents Felix and Clemence (née Gourdain) Gy, he earned a degree in from the École Supérieure de Physique et de Chimie Industrielles de la Ville de (ESPCI ParisTech). His early career focused on industrial applications in , , and materials processing, where imprecise sampling led to significant analytical errors; this prompted his systematic study of sampling variability starting in the 1950s. Gy's TOS, developed primarily between 1950 and 1975 with refinements into the early 2000s, quantifies s through the fundamental sampling error (FSE) formula, which relates sample mass, , and material heterogeneity to required sample representativeness. He distinguished two heterogeneities—constitutional (variations in at the particle level) and distributional (spatial unevenness)—and identified eight stages of sampling where errors arise, advocating corrective actions like proper and increment selection to minimize total below analytical limits. His approach shifted sampling from empirical guesswork to a probabilistic, error-minimizing , influencing standards in , , and . Throughout his career, Gy authored key texts like Sampling of Particulate Materials: Theory and Practice (1979, revised 1992), consulted for global firms and agencies, and lectured extensively on TOS applications. He emphasized that representative sampling requires samples representing the lot's mean grade and variance, not just average composition, countering common fallacies in traditional methods. Gy's work underpins ISO 12743 for sampling and remains foundational in fields handling particulates, such as production and safeguards. The International Pierre Gy Sampling Association, established post-retirement, perpetuates his methodologies through and . He died in 2015 at age 91, leaving an enduring impact on of heterogeneous systems.

Science and technology

Gy's sampling theory

Gy's sampling theory, formally known as the Theory of Sampling (TOS), constitutes a comprehensive framework for extracting representative samples from heterogeneous particulate materials, such as ores, soils, and industrial powders, by quantifying and minimizing sampling errors. Developed primarily by French engineer Pierre Gy from the 1950s through the 1970s, with refinements extending into the early 2000s, TOS shifts sampling from empirical guesswork to a scientifically grounded process emphasizing material heterogeneity as the root cause of variability. The theory posits that all particulate lots exhibit inherent heterogeneity—variations in , , , and —which inevitably generates errors unless systematically addressed through increased sample mass, finer particle , or multi-stage increment collection. Central to TOS is the identification of eight distinct sampling errors, categorized into fundamental (inherent to the material) and operational (arising from procedures). The fundamental sampling error (FSE), the irreducible minimum variance due to constitutional heterogeneity, is calculated via Gy's formula, which expresses the relative variance as g = \frac{c \lambda^3 f g_s d^2}{M}, where c is the mineralogical factor, \lambda^3 the granulometric factor, f the shape factor, g_s the size distribution factor, d the maximum particle size, and M the sample mass; this predicts error reduction by factors like larger M or smaller d. Other errors include grouping and segregation (from non-random particle clustering), long-range and periodic heterogeneity (spatial or temporal fluctuations), increment delimitation (poor boundary definition), extraction (incomplete removal), and preparation (post-extraction alteration). Gy's approach decomposes total sampling variance into these components, enabling targeted minimization—for instance, via variographic analysis to quantify or riffle splitting for unbiased subsampling. Correct sampling, a cornerstone criterion, requires that every particle in the lot has an equal probability of selection, ensuring unbiased representativeness across stages from lot to . TOS outlines six governing principles to achieve this, including the final residue sampling (ensuring exhaustive particle ) and error management rules that prioritize precision over mere randomness. Practical implementation involves multi-stage processes: collecting numerous increments (e.g., 30–100 for soils) to average out short-range variability, followed by homogenization and size reduction while monitoring error contributions. Extensions to Gy's original binary-mixture accommodate multi-component materials, validating predictions against experimental riffle-splitter where observed FSE often aligns closely, though sometimes lower due to the "sampling " of correlated heterogeneities. Applications span mining (ore grade estimation), environmental monitoring (soil contaminant analysis), and process control (powder metallurgy), where TOS has demonstrated error reductions of orders of magnitude; for example, in hazardous waste site sampling, it guides protocols to achieve sub-percent relative errors for trace analytes. Gy formalized these in works like Sampling of Particulate Materials: Theory and Practice (1979), influencing standards via bodies like the International Pierre Gy Sampling Association, established post-2015 to promote TOS. The theory's rigor lies in its a priori error prediction, bypassing post-hoc validation and enabling cost-optimized designs, though it assumes quantifiable heterogeneity parameters derivable from variograms or duplicate assays.

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