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TwitterThe Chandra archival data are a valuable resource for various studies on different X-ray astronomy topics. In this paper, the authors utilize this wealth of information and present a uniformly processed data set, which can be used to address a wide range of scientific questions. The data analysis procedures are applied to 10,029 Advanced CCD Imaging Spectrometer observations, which produces 363,530 source detections belonging to 217,828 distinct X-ray sources. This number is twice the size of the Chandra Source Catalog (Version 1.1). The catalogs in this paper provide abundant estimates of the detected X-ray source properties, including source positions, counts, colors, fluxes, luminosities, variability statistics, etc. Cross-correlation of these objects with galaxies shows that 17,828 sources are located within the D25 isophotes of 1,110 galaxies, and 7,504 sources are located between the D25 and 2D25 isophotes of 910 galaxies. Contamination analysis with the log N-log S relation indicates that 51.3% of objects within 2D25 isophotes are truly relevant to galaxies, and the "net" source fraction increases to 58.9%, 67.3%, and 69.1% for sources with luminosities above 1037, 1038, and 1039 erg/s, respectively. Among the possible scientific uses of this catalog mentioned in this paper, the authors discuss the possibility of studying intra-observation variability, inter-observation variability, and supersoft sources (SSSs). About 17,092 detected sources above 10 counts are classified as variable in individual observation with the Kolmogorov-Smirnov (K-S) criterion (PK-S < 0.01). There are 99,647 sources observed more than once and 11,843 sources observed 10 times or more, offering a wealth of data with which to explore their long-term variability. There are 1,638 individual objects (~2,350 detections) classified as SSSs. As a quite interesting subclass, detailed studies on X-ray spectra and optical spectroscopic follow-up are needed to categorize these SSSs and pinpoint their properties. In addition, this survey can enable a wide range of statistical studies, such as X-ray activity in different types of stars, X-ray luminosity functions in different types of galaxies, and multi-wavelength identification and classification of different X-ray populations. The ACIS observations were downloaded from the Chandra Data Archive on 2014 December 4, yielding 10,047 ACIS observations. Eighteen observations with PI as "Calibration" or Exposure as zero were excluded. Finally, there are 10,029 ACIS observations containing 4,146 ACIS-I observations and 5,883 ACIS-S observations in our sample. The exposure times for the selected observations cover a range from 50 s to 190 ks, with a total of 221,851 ks. This HEASARC table comprises the list of 218,789 X-ray point sources detected in the Chandra ACIS Survey and listed in the machine-readable version of Table 5 from the reference paper. This number is somewhat larger than the number of independent sources (217,828) stated in the abstract and Section 5 of the reference paper because if a source lies within 2*R25 of more than one galaxy it is listed multiple times, once for each galaxy with which it may be associated. All parameters are the same for such duplicate cases except for the entry_number, alt_name, adopted_distance, luminosity, src_nucleus_offset, norm_src_nucleus_offset and (in some cases) source_type. This table was created by the HEASARC in March 2017 primarily based on CDS Catalog J/ApJS/224/40/ file table5.dat, the catalog of X-ray point sources in the Chandra ACIS Survey. The positional information for these sources was taken from CDS Catalog J/ApJS/224/40/ file table3.dat, the list of separation detections for these X-ray sources, using the first listed detection in each case. This is a service provided by NASA HEASARC .
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Tetra Tech, Inc. provides consulting and engineering services worldwide. The company operates through two segments Government Services Group (GSG) and Commercial/International Services Group (CIG). The GSG segment offers early data collection and monitoring, data analysis and information management, science and engineering applied research, engineering design, project management, and operations and maintenance services; and climate change and energy management consulting, as well as greenhouse gas inventory assessment, certification, reduction, and management services. This segment serves federal, state, and local governments, and development agencies in water resources analysis and water management, environmental monitoring, data analytics, government consulting, waste management, and a range of civil infrastructure master planning and engineering design markets. The CIG segment provides early data collection and monitoring, data analysis and information management, feasibility studies and assessments, science and engineering applied research, engineering design, project management, and operations and maintenance services. This segment serves natural resources, energy, and utilities markets, as well as sustainable infrastructure master planning and engineering design markets. Tetra Tech, Inc. was founded in 1966 and is headquartered in Pasadena, California.
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Total-Long-Term-Debt Time Series for Tetra Tech Inc. Tetra Tech, Inc. provides consulting and engineering services that focuses on water, environment, and sustainable infrastructure. in the United States and internationally. The company operates through two segments, Government Services Group (GSG) and Commercial/International Services Group (CIG). The GSG segment offers early data collection and monitoring, data analysis and information management, science and engineering applied research, engineering design, project management, and operations and maintenance services; and climate change and energy management consulting, as well as greenhouse gas inventory assessment, certification, reduction, and management services. This segment serves federal, state, and local governments; and development agencies in water resources analysis and water management, environmental monitoring, data analytics, government consulting, waste management, and a range of civil infrastructure master planning and engineering design markets. The CIG segment provides early data collection and monitoring, data analysis and information management, feasibility studies and assessments, science and engineering applied research, engineering design, project management, and operations and maintenance services; and environmental remediation and reconstruction services, industrial water treatment, and water reuse services; and engineering services for a wide range of clients with specialized needs, such as data centers, advanced manufacturing, security systems, training and audiovisual facilities, clean rooms, laboratories, medical facilities, and disaster preparedness facilities. This segment serves natural resources, energy, and utilities markets, as well as sustainable infrastructure master planning and engineering design for facilities, transportation, and local development projects. Tetra Tech, Inc. was founded in 1966 and is headquartered in Pasadena, California.
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Capital-Expenditures Time Series for Tetra Tech Inc. Tetra Tech, Inc. provides consulting and engineering services that focuses on water, environment, and sustainable infrastructure. in the United States and internationally. The company operates through two segments, Government Services Group (GSG) and Commercial/International Services Group (CIG). The GSG segment offers early data collection and monitoring, data analysis and information management, science and engineering applied research, engineering design, project management, and operations and maintenance services; and climate change and energy management consulting, as well as greenhouse gas inventory assessment, certification, reduction, and management services. This segment serves federal, state, and local governments; and development agencies in water resources analysis and water management, environmental monitoring, data analytics, government consulting, waste management, and a range of civil infrastructure master planning and engineering design markets. The CIG segment provides early data collection and monitoring, data analysis and information management, feasibility studies and assessments, science and engineering applied research, engineering design, project management, and operations and maintenance services; and environmental remediation and reconstruction services, industrial water treatment, and water reuse services; and engineering services for a wide range of clients with specialized needs, such as data centers, advanced manufacturing, security systems, training and audiovisual facilities, clean rooms, laboratories, medical facilities, and disaster preparedness facilities. This segment serves natural resources, energy, and utilities markets, as well as sustainable infrastructure master planning and engineering design for facilities, transportation, and local development projects. Tetra Tech, Inc. was founded in 1966 and is headquartered in Pasadena, California.
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TwitterThe Chandra archival data are a valuable resource for various studies on different X-ray astronomy topics. In this paper, the authors utilize this wealth of information and present a uniformly processed data set, which can be used to address a wide range of scientific questions. The data analysis procedures are applied to 10,029 Advanced CCD Imaging Spectrometer observations, which produces 363,530 source detections belonging to 217,828 distinct X-ray sources. This number is twice the size of the Chandra Source Catalog (Version 1.1). The catalogs in this paper provide abundant estimates of the detected X-ray source properties, including source positions, counts, colors, fluxes, luminosities, variability statistics, etc. Cross-correlation of these objects with galaxies shows that 17,828 sources are located within the D25 isophotes of 1,110 galaxies, and 7,504 sources are located between the D25 and 2D25 isophotes of 910 galaxies. Contamination analysis with the log N-log S relation indicates that 51.3% of objects within 2D25 isophotes are truly relevant to galaxies, and the "net" source fraction increases to 58.9%, 67.3%, and 69.1% for sources with luminosities above 1037, 1038, and 1039 erg/s, respectively. Among the possible scientific uses of this catalog mentioned in this paper, the authors discuss the possibility of studying intra-observation variability, inter-observation variability, and supersoft sources (SSSs). About 17,092 detected sources above 10 counts are classified as variable in individual observation with the Kolmogorov-Smirnov (K-S) criterion (PK-S < 0.01). There are 99,647 sources observed more than once and 11,843 sources observed 10 times or more, offering a wealth of data with which to explore their long-term variability. There are 1,638 individual objects (~2,350 detections) classified as SSSs. As a quite interesting subclass, detailed studies on X-ray spectra and optical spectroscopic follow-up are needed to categorize these SSSs and pinpoint their properties. In addition, this survey can enable a wide range of statistical studies, such as X-ray activity in different types of stars, X-ray luminosity functions in different types of galaxies, and multi-wavelength identification and classification of different X-ray populations. The ACIS observations were downloaded from the Chandra Data Archive on 2014 December 4, yielding 10,047 ACIS observations. Eighteen observations with PI as "Calibration" or Exposure as zero were excluded. Finally, there are 10,029 ACIS observations containing 4,146 ACIS-I observations and 5,883 ACIS-S observations in our sample. The exposure times for the selected observations cover a range from 50 s to 190 ks, with a total of 221,851 ks. This HEASARC table comprises the list of 218,789 X-ray point sources detected in the Chandra ACIS Survey and listed in the machine-readable version of Table 5 from the reference paper. This number is somewhat larger than the number of independent sources (217,828) stated in the abstract and Section 5 of the reference paper because if a source lies within 2*R25 of more than one galaxy it is listed multiple times, once for each galaxy with which it may be associated. All parameters are the same for such duplicate cases except for the entry_number, alt_name, adopted_distance, luminosity, src_nucleus_offset, norm_src_nucleus_offset and (in some cases) source_type. This table was created by the HEASARC in March 2017 primarily based on CDS Catalog J/ApJS/224/40/ file table5.dat, the catalog of X-ray point sources in the Chandra ACIS Survey. The positional information for these sources was taken from CDS Catalog J/ApJS/224/40/ file table3.dat, the list of separation detections for these X-ray sources, using the first listed detection in each case. This is a service provided by NASA HEASARC .