Welcome to the Cosmoteka, the largest repository of consistently combined angular power spectra!

Mappers

Mapper	Description	Science	Cataloge	Contributor
2MPZ	Galaxy clustering	Bilicki et al, 2013	catalogue	D. Alonso
ACTtSZ	CMB anisotropies	Madhavacheril et al, 2019	catalogue	J. Ruiz-Zapatero
ACTCMB	CMB anisotropies	Madhavacheril et al, 2019	catalogue	J. Ruiz-Zapatero
ACTk	CMB convergence	Darwish et al, 2020	catalogue	J. Ruiz-Zapatero
BOSS	Galaxy clustering	Alam et al, 2016	catalogue	J. Ruiz-Zapatero
CIBLenz	CIB ansitropies	Lenz et al, 2019	catalogue	J. Ruiz-Zapatero
CatWISE	Galaxy clustering	Marocco et al, 2020	catalogue	F. Oliveira-Franco
DELS	Galaxy clustering	Dey et al, 2019	catalogue	D. Alonso
DESY1gc	Galaxy clustering	Abbot et al, 2017	catalogue	C. Garcia-Garcia
DESY1wl	Weak lensing	Abbot et al, 2017	catalogue	C. Garcia-Garcia
DESY3wl	Weak lensing	Abbot et al, 2021	catalogue	C. Garcia-Garcia
eBOSS	Quasar clustering	Gil-Marin et al, 2018	cataloge	J. Ruiz-Zapatero
HSC_DR1wl	Weak lensing	Aihara et al, 2017	catalogue	D. Alonso
KV450	Weak lensing	Hildebrandt, et al, 2018	catalogue	J. Ruiz-Zapatero
KiDS1000	Weak lensing	Heymans et al, 2020	catalogue	D. Alonso
NVSS	Galaxy clustering	Condon et al, 1998	catalogue	F. Oliveira-Franco
P15tSZ	Compton-y map	Planck Collaboration, 2015	catalogue	J. Ruiz-Zapatero
P18CMBk	CMB convergence	Planck collaboration, 2018	catalogue	J. Ruiz-Zapatero
P18CMB	CMB anisotropies	Planck Collaboration, 2018	catalogue	J. Ruiz-Zapatero
P18SMICA	CMB component separated	Planck collaboration, 2018	catalogue	J. Ruiz-Zapatero
ROSAT	X-ray count rate	Vogue et al, 1999	catalogue	D. Alonso
SPT	Compton-y map	Bleem et al, 2021	catalogue	J. Ruiz-Zapatero
WIxSC	Galaxy clustering	Bilicki et al, 2016	catalogue	D. Alonso

Design Philosophy

Cosmoteka is a single pipeline that processes catalogue level data from a wide variety of surveys and measures their angular power spectra and covariances in a consistent manner. Cosmoteka heavily relies on NaMaster.

Cosmoteka is designed to allow for the largest amount of modularity possible to encourage open-source community development. Inside of each module, Cosmoteka follows an object-oriented approach. Thus, given a configuration file or dictionary, the user can instantiate a class that constains all the methods needed to create a sky map (mappers), to estimate the angular power spectrum of two fields (cl) or their covariance (cov).

Cosmoteka is fundamentally divided in two modules, cls and mappers, which can be thought as the brain and muscles of the same organism respecively. cls processes the demands in the configuration file and instantiates the relevant mappers. Each mapper then projects their corresponding catalogue into a NaMaster field taking into account the beams, contaminants and masks. Once the NaMaster fields are computed, cls orchestrates the computation of the angular power spectra and their covariance. A brief description of the role of each module inside cls can be found in the table below. For a more detailed description of the role of the cls modules as well as the individual mappers please visit the documentation of Cosmoteka.

Module	function
cls/cl.py	Computes the Cl's requested by the user in the configuration file from the NaMaster fields provided by the mappers.
cls/cov.py	Computes the covariance matrix of the Cl's either from the maps themselves or using the theoretical predictions of theory.py.
cls/data.py	Reads the user configuration file and returns an instance of the relevant mappers.
cls/theory.py	Computes the a theory prediction for the Cl's computed in cl.py using pyccl (only available for certain observables).
cls/to_sacc.py	Saves all the angular power spectra as well as their covariance matrix to a SACC file.
mappers	Project the catalogs into NaMaster fields.

Usage

In order to run the code use python3 run_cls.py input/kv450_1024.yml cls. You can see the different options with python3 run_cls.py -h.

You can run directly xcell/cls/cl.py, cov.py, to_sacc.py with python3 -m as python3 -m xcell.cls.cl input/kv450_1024.yml KV450__0 KV450__0.

More info about the sacc files in https://github.com/LSSTDESC/sacc

Tutorials

Tutorials on how to configure and use all the different mappers to compute angular power spectra and their covariance matrix can be found here.

Publications

• J. Ruiz-Zapatero et al, "LimberJack.jl: auto-differentiable methods for angular power spectra analyses", arXiv:2310.08306, 2023.
• David Alonso et al, "Constraining cosmology with the Gaia-unWISE Quasar catalogue and CMB lensing: structure growth", arXiv:2306.17748, 2023.
• T. Ferreira et al, "X-ray - cosmic shear cross-correlations: first detection and constraints on baryonic effects", arXiv:2309.11129, 2023.
• B. Hadzhiyska et al, "Cosmology with 6 parameters in the Stage-IV era: efficient marginalisation over nuisance parameters", arXiv:2301.11895, 2023.
• J. Ruiz-Zapatero et al, "Analytical marginalisation over photometric redshift uncertainties in cosmic shear analyses", arXiv:2301.11978, 2023.
• B. Jego et al, "Constraining the physics of star formation from CIB-cosmic shear cross-correlations", arXiv:2209.05472, 2022.
• B. Jego et al, "The star formation history in the last 10 billion years from CIB cross-correlations", arXiv:2206.15394, 2022.
• C. Garcia-Garcia et al, "Combining cosmic shear data with correlated photo-z uncertainties: constraints from DESY1 and HSC-DR1", arXiv:2210.13434, 2022.
• B. Hadzhiyska et al, "Hefty enhancement of cosmological constraints from the DES Y1 data using a Hybrid Effective Field Theory approach to galaxy bias", arXiv:2103.09820, 2021.
• C. Garcia-Garcia et al, "The growth of density perturbations in the last ∼10 billion years from tomographic large-scale structure data", arXiv:2105.12108, 2021.
• A. Nicola et al, "Cosmic shear power spectra in practice", arXiv:2010.09717, 2020.

Contributors

Looking forward to seeing your name below!

Carlos Garcia-Garcia	Jaime Ruiz-Zapatero	David Alonso	Felipe Oliveira-Franco
Lead angular power spectra and covariance code designer. Mappers	Mapper Design & Mappers	Mapper Design & Mappers	Mappers

Citing Cosmoteka

We are currently working on a Cosmoteka paper presenting the library in detail to the astronomy comunity. In the mean time please cite:

@ARTICLE{2021JCAP...10..030G,
       author = {{Garc{\'\i}a-Garc{\'\i}a}, Carlos and {Ruiz-Zapatero}, Jaime and {Alonso}, David and {Bellini}, Emilio and {Ferreira}, Pedro G. and {Mueller}, Eva-Maria and {Nicola}, Andrina and {Ruiz-Lapuente}, Pilar},
        title = "{The growth of density perturbations in the last  10 billion years from tomographic large-scale structure data}",
      journal = {\jcap},
     keywords = {cosmological parameters from LSS, galaxy clustering, redshift surveys, weak gravitational lensing, Astrophysics - Cosmology and Nongalactic Astrophysics},
         year = 2021,
        month = oct,
       volume = {2021},
       number = {10},
          eid = {030},
        pages = {030},
          doi = {10.1088/1475-7516/2021/10/030},
archivePrefix = {arXiv},
       eprint = {2105.12108},
 primaryClass = {astro-ph.CO},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2021JCAP...10..030G},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}}

and as many papers as feel relevant from the publication list above.