Johnson et al., 2017 - Google Patents
2dFLenS and KiDS: determining source redshift distributions with cross-correlationsJohnson et al., 2017
View HTML- Document ID
- 3372174056633336564
- Author
- Johnson A
- Blake C
- Amon A
- Erben T
- Glazebrook K
- Harnois-Deraps J
- Heymans C
- Hildebrandt H
- Joudaki S
- Klaes D
- Kuijken K
- Lidman C
- Marin F
- McFarland J
- Morrison C
- Parkinson D
- Poole G
- Radovich M
- Wolf C
- Publication year
- Publication venue
- Monthly Notices of the Royal Astronomical Society
External Links
Snippet
We develop a statistical estimator to infer the redshift probability distribution of a photometric sample of galaxies from its angular cross-correlation in redshift bins with an overlapping spectroscopic sample. This estimator is a minimum-variance weighted quadratic function of …
- 238000009826 distribution 0 abstract description 80
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/70—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
- G06F19/708—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for data visualisation, e.g. molecular structure representations, graphics generation, display of maps or networks or other visual representations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterized by the transducing means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Johnson et al. | 2dFLenS and KiDS: determining source redshift distributions with cross-correlations | |
| Van Den Busch et al. | Testing KiDS cross-correlation redshifts with simulations | |
| Millon et al. | TDCOSMO-I. An exploration of systematic uncertainties in the inference of H0 from time-delay cosmography | |
| Aricò et al. | Modelling the large-scale mass density field of the universe as a function of cosmology and baryonic physics | |
| Sonnenfeld et al. | Survey of gravitationally-lensed objects in HSC imaging (SuGOHI)-III. Statistical strong lensing constraints on the stellar IMF of CMASS galaxies | |
| Leistedt et al. | Exploiting the full potential of photometric quasar surveys: optimal power spectra through blind mitigation of systematics | |
| Blake et al. | The WiggleZ Dark Energy Survey: the growth rate of cosmic structure since redshift z= 0.9 | |
| McGee et al. | The Dawn of the Red: star formation histories of group galaxies over the past 5 billion years | |
| Sifon et al. | The Atacama Cosmology Telescope: dynamical masses for 44 SZ-selected galaxy clusters over 755 square degrees | |
| Kumar et al. | COSMOGRAIL: the COSmological MOnitoring of GRAvItational Lenses-XIV. Time delay of the doubly lensed quasar SDSS J1001+ 5027 | |
| Budzynski et al. | The similarity of the stellar mass fractions of galaxy groups and clusters | |
| Köhlinger et al. | A direct measurement of tomographic lensing power spectra from CFHTLenS | |
| Kitanidis et al. | Cross-correlation of Planck CMB lensing with DESI-like LRGs | |
| Chatterjee et al. | The inner mass power spectrum of galaxies using strong gravitational lensing: beyond linear approximation | |
| Bartalucci et al. | Resolving galaxy cluster gas properties at z~ 1 with XMM-Newton and Chandra | |
| Johnston et al. | Organised randoms: Learning and correcting for systematic galaxy clustering patterns in KiDS using self-organising maps | |
| Hernández-Monteagudo et al. | The SDSS-III Baryonic Oscillation Spectroscopic Survey: constraints on the integrated Sachs–Wolfe effect | |
| Tessore et al. | LENSED: a code for the forward reconstruction of lenses and sources from strong lensing observations | |
| Brewer et al. | Trans-dimensional Bayesian inference for gravitational lens substructures | |
| Stone et al. | astrophot: fitting everything everywhere all at once in astronomical images | |
| Clerc et al. | The SRG/eROSITA All-Sky Survey-X-ray selection function models for the eRASS1 galaxy cluster cosmology | |
| Lackeos et al. | The LISA Data Challenge Radler analysis and time-dependent ultra-compact binary catalogues | |
| Rau et al. | A composite likelihood approach for inference under photometric redshift uncertainty | |
| Samuroff et al. | Simultaneous constraints on cosmology and photometric redshift bias from weak lensing and galaxy clustering | |
| Douglas et al. | WFIRST coronagraph technology requirements: status update and systems engineering approach |