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Codes

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Scripts

The RENOIR project
Reionization in multi-colour

The RENOIR-code models hydrogen 21cm, Lyman-alpha and H-alpha emission and surface brightness during the epoch of reionization (redshift z>6) for intensity mapping studies. It is calibrated with obervations of high-redshift galaxies, and is based on the semi-numerical 21cmFAST code (Mesinger et al. '10). Updated calibration and additional emission lines (z.B. CO, CII, OIII) are in progress.
[language: mostly C, python]

Intensity mapping in generalized gravity

This code simulates both the global signal and intensity maps of 21cm hydrogen emission during reionization and cosmic dawn in generalized gravity scenarios (for an effective gravitational constant, general initial conditions, and/or interacting quintessence).
[language: C, python]

Lyman-alpha emitter (LAE) calibration

Add-on modules that calculate galaxy LAE maps, with their angular correlation and luminosity function calibrated against observations, and derive cross-statistics with 21cm intensity maps like the real-space and fourier-space cross-correlation coefficients.
[language: mostly C, python]

Mission sensitivity predictions

A fast code in C that enables the prediction of the sensitivity on intensity mapping power spectra, depending on mission design (e.g. mirror size, instrument temperature) and planning (e.g. integration time).
[language: C]

MapMock

Takes simulated surface brightness fields and together with instrument sensitivity predictions creates realistic mock observational maps.
[language: C]

Blend2Flux CNN

Convolutional neural network designed to deblend large samples of galaxy-pairs in photometric images, outputting the flux of the individual galaxies. To be made public within the COIN Cosmostatistics network.
[language: python with Keras library]

Bayesian Robustness for bias detection

Code that calculates the Bayesian robustness (ratio of evidences) of data sub-samples and compares these to unbiased mock data, to detect possibly biased sub-samples.
[language: Mathematica]

Generalized spherical collapse

Code that follows the spherical collapse of overdensities while including dark energy perturbations, to calculate characteristic quantities like the density threshold of collapse.
[available in: Mathematica, Fortran95]

Contact

Caroline Heneka

Mail: heneka[at] thphys.uni-heidelberg.de
Phone: +49 6221-54-5059

Heidelberg University
Institute for Theoretical Physics
Philosophenweg 16
69120 Heidelberg
Germany