"An astronomical survey is a general map or image of a region of the sky (or of the whole sky) that lacks a specific observational target."
Techniques for collecting, analyzing and interpreting data in Astronomy.
Statistics: The science of collecting, analyzing, and interpreting data. It involves methods and techniques for summarizing and describing datasets, making inferences about populations based on samples, and testing hypotheses.
Probability: The branch of mathematics concerned with calculating the likelihood of events occurring. It provides a foundation for statistical inference, decision-making, and risk assessment.
Data Visualization: The process of presenting data in a graphical or pictorial form to help users better understand and interpret information. It includes techniques for creating charts, graphs, tables, and maps.
Time Series Analysis: The study of data collected over time to identify patterns, trends, and relationships. It involves methods for modeling and forecasting data, accounting for seasonality and trends, and detecting outliers.
Cluster Analysis: The process of grouping similar entities based on their characteristics or behaviors. It includes techniques for partitioning data into clusters, measuring similarity or distance between observations, and visualizing clustering results.
Machine Learning: A type of artificial intelligence that involves training algorithms to make predictions or decisions based on patterns in the data. It includes methods for supervised and unsupervised learning, classification, regression, and clustering.
Database Management: The process of organizing, storing, and retrieving data using database systems. It includes techniques for data modeling, query optimization, indexing, and security.
Data Mining: The process of extracting knowledge or insights from large datasets. It includes techniques for identifying patterns, trends, and hidden relationships, and for predicting future outcomes.
Monte Carlo Simulation: A computational method for generating random variables based on a given probability distribution. It is used to model complex systems or processes and to estimate probabilities or outcomes.
Signal Processing: The analysis of signals or time-varying data to extract useful information or remove noise. It includes techniques for filtering, transforming, and analyzing signals in both time and frequency domains.
Descriptive analysis: This involves summarizing and describing the main features of the data, such as the mean, median, standard deviation, and range.
Exploratory analysis: This involves exploring the data to identify patterns or relationships that may not be immediately visible.
Inferential analysis: This involves using statistical methods to draw conclusions about the population based on a sample of data.
Hypothesis testing: This involves testing a specific hypothesis using statistical methods to determine if the data supports or rejects the hypothesis.
Regression analysis: This involves identifying and analyzing the relationship between two or more variables.
Correlation analysis: This involves analyzing the degree of association between two or more variables.
Time series analysis: This involves analyzing data that is collected over a period of time, such as seasonal trends or long-term trends.
Spatial analysis: This involves analyzing data that is geographically referenced, such as maps or satellite imagery.
Cluster analysis: This involves identifying groups or clusters of data that have similar characteristics or behavior.
Network analysis: This involves analyzing data that is structured in a network or graph format to identify patterns or relationships between nodes or edges.
"Alternatively, an astronomical survey may comprise a set of images, spectra, or other observations of objects that share a common type or feature."
"Surveys are often restricted to one band of the electromagnetic spectrum due to instrumental limitations."
"Multiwavelength surveys can be made by using multiple detectors, each sensitive to a different bandwidth."
"Surveys have generally been performed as part of the production of an astronomical catalog."
"Surveys may also search for transient astronomical events."
"They often use wide-field astrographs."
"An astronomical survey is a general map or image of a region of the sky (or of the whole sky)."
"Surveys lack a specific observational target."
"An astronomical survey may comprise a set of images, spectra, or other observations of objects that share a common type or feature."
"Surveys are often restricted to one band of the electromagnetic spectrum due to instrumental limitations."
"Multiwavelength surveys can be made by using multiple detectors, each sensitive to a different bandwidth."
"Surveys have generally been performed as part of the production of an astronomical catalog."
"Surveys may also search for transient astronomical events."
"They often use wide-field astrographs."
"An astronomical survey is a general map or image of a region of the sky (or of the whole sky) that lacks a specific observational target."
"An astronomical survey may comprise a set of images, spectra, or other observations of objects that share a common type or feature."
"Surveys are often restricted to one band of the electromagnetic spectrum due to instrumental limitations."
"Multiwavelength surveys can be made by using multiple detectors, each sensitive to a different bandwidth."
"They often use wide-field astrographs."