This package contains the full data products of the Lyman-alpha Tomography IMACS Survey (LATIS) as presented by Newman et al (2025), "LATIS Data Release: ∼ 4200 Spectra of z ∼ 2−3 Galaxies, Redshifts, and IGM Tomography Maps." These include spectroscopic redshifts, 1D spectra, maps of the targeting and spectroscopic sucess rates, IGM tomography maps, and mock surveys. All products are documented in the README file.

This package contains the full data products of the Lyman-alpha Tomography IMACS Survey (LATIS) as presented by Newman et al (2025), "LATIS Data Release: ∼ 4200 Spectra of z ∼ 2−3 Galaxies, Redshifts, and IGM Tomography Maps." These include spectroscopic redshifts, 1D spectra, maps of the targeting and spectroscopic sucess rates, IGM tomography maps, and mock surveys. All products are documented in the README file.

"Probing the Infrared/Radio correlation of the full IRAS Revised Bright Galaxy Sample with MeerKAT and the VLA: Supporting Data"We present the data supporting the manuscript entitled "Probing the Infrared/Radio correlation of the full IRAS Revised Bright Galaxy Sample with MeerKAT and the VLA", ref. MN-24-1207-MJ.R3, accepted for publication in Monthly Notices of the Royal Astronomical Society Main Journal on 27 August 2025.IRAS_RBGS_Radio_Table1.vot - The IRAC RBGS Sample Properties with MeerKAT and the VLA (VOT Format)IRAS_RBGS_Radio_Table3.vot - Properties of the IRAS RBGS Southern Interacting/Merging Sample (VOT Format)See Table Comments/Header Info and IRAS_RBGS_Radio_Table1.readme and IRAS_RBGS_Radio_Table3.readme files for details about the Table Contents

"Probing the Infrared/Radio correlation of the full IRAS Revised Bright Galaxy Sample with MeerKAT and the VLA: Supporting Data"We present the data supporting the manuscript entitled "Probing the Infrared/Radio correlation of the full IRAS Revised Bright Galaxy Sample with MeerKAT and the VLA", ref. MN-24-1207-MJ.R3, accepted for publication in Monthly Notices of the Royal Astronomical Society Main Journal on 27 August 2025.IRAS_RBGS_Radio_Table1.vot - The IRAC RBGS Sample Properties with MeerKAT and the VLA (VOT Format)IRAS_RBGS_Radio_Table3.vot - Properties of the IRAS RBGS Southern Interacting/Merging Sample (VOT Format)See Table Comments/Header Info and IRAS_RBGS_Radio_Table1.readme and IRAS_RBGS_Radio_Table3.readme files for details about the Table Contents

OverviewGalacticus catalogues that were generated for the paper "Accelerated calibration of semi-analytic galaxy formation models". The associated GitHub repository contains scripts that generate the figures in the paper, some of which require this data. Note that files associated with running the MCMCs (configuration files, the resulting MCMC chains, etc.) are not included here, but are instead in the GitHub repository.If interested in rerunning similar or related models with Galacticus, you can find both the explicit version of Galactcicus (with a git hash) and the Galacticus parameters used in the catalogue hdf5 files. The information about the Galacticus version is stored in the Version group, with attributes such as gitHash.The parameters group contains the Galacticus model choices and parameter values used. Note that the Galacticus code has a script that can be used to extract these parameter values into a parameter file that can be read by Galacticus. So to re-run the Galacticus run that produced galacticusCatalog.hdf5 one could do:$GALACTICUS_EXEC_PATH/scripts/parameters/parametersExtract.py galacticusCatalog.hdf5 galacticusParameterFile.xml$GALACTICUS_EXEC_PATH/galacticus.exe galacticusParameterFile.xmlwhich would first create the parameter file galacticusParameterFile.xml, and then use this parameter file to run Galacticus.Data DescriptionWhat each catalogue corresponds to is probably most easily understood by inspecting the associated GitHub repository, which shows which files are used by which plotting scripts. In brief, there are two directories Low-z and Low-z_High-z_Sizes. The first of these used Galacticus parameters that were calibrated only to the low-z stellar-to-halo-mass relation (SHMR), while the latter used Galacticus parameters calibrated to both low and high redshift SHMRs, as well as low-redshift galaxy sizes. Within each of these directories there are then maximumPosterior runs (that use the MAP parameters from the associated MCMC chains) and posteriorDraws runs, that use random draws from the MCMC chains. There are additional runs that are slight variations on these: Low-z_High-z_Sizes/maximumPosterior/sobralComparison: a re-run of Low-z_High-z_Sizes/maximumPosterior with the calculation of emission lines for comparison with the observed luminosity functionsLow-z_High-z_Sizes/maximumPosterior/vanDerWelComparison: a re-run of Low-z_High-z_Sizes/maximumPosterior with the additional information on star formation rate stored to allow galaxies to be classified as active or quiescent Low-z/maximumPosterior_matchSingleLikelihood: similar to Low-z/maximumPosterior, but using a single output time at z=0.29 to match what is done for the likelihood evaluations used in the MCMC

OverviewGalacticus catalogues that were generated for the paper "Accelerated calibration of semi-analytic galaxy formation models". The associated GitHub repository contains scripts that generate the figures in the paper, some of which require this data. Note that files associated with running the MCMCs (configuration files, the resulting MCMC chains, etc.) are not included here, but are instead in the GitHub repository.If interested in rerunning similar or related models with Galacticus, you can find both the explicit version of Galactcicus (with a git hash) and the Galacticus parameters used in the catalogue hdf5 files. The information about the Galacticus version is stored in the Version group, with attributes such as gitHash.The parameters group contains the Galacticus model choices and parameter values used. Note that the Galacticus code has a script that can be used to extract these parameter values into a parameter file that can be read by Galacticus. So to re-run the Galacticus run that produced galacticusCatalog.hdf5 one could do:$GALACTICUS_EXEC_PATH/scripts/parameters/parametersExtract.py galacticusCatalog.hdf5 galacticusParameterFile.xml$GALACTICUS_EXEC_PATH/galacticus.exe galacticusParameterFile.xmlwhich would first create the parameter file galacticusParameterFile.xml, and then use this parameter file to run Galacticus.Data DescriptionWhat each catalogue corresponds to is probably most easily understood by inspecting the associated GitHub repository, which shows which files are used by which plotting scripts. In brief, there are two directories Low-z and Low-z_High-z_Sizes. The first of these used Galacticus parameters that were calibrated only to the low-z stellar-to-halo-mass relation (SHMR), while the latter used Galacticus parameters calibrated to both low and high redshift SHMRs, as well as low-redshift galaxy sizes. Within each of these directories there are then maximumPosterior runs (that use the MAP parameters from the associated MCMC chains) and posteriorDraws runs, that use random draws from the MCMC chains. There are additional runs that are slight variations on these: Low-z_High-z_Sizes/maximumPosterior/sobralComparison: a re-run of Low-z_High-z_Sizes/maximumPosterior with the calculation of emission lines for comparison with the observed luminosity functionsLow-z_High-z_Sizes/maximumPosterior/vanDerWelComparison: a re-run of Low-z_High-z_Sizes/maximumPosterior with the additional information on star formation rate stored to allow galaxies to be classified as active or quiescent Low-z/maximumPosterior_matchSingleLikelihood: similar to Low-z/maximumPosterior, but using a single output time at z=0.29 to match what is done for the likelihood evaluations used in the MCMC

We present FEROS and APF spectra of low-metallicity sources with elevated RUWE values or acceleration solutions in Gaia DR3. We also provide a follow-up MIKE spectrum of a promising dormant black hole candidate.

We present FEROS and APF spectra of low-metallicity sources with elevated RUWE values or acceleration solutions in Gaia DR3. We also provide a follow-up MIKE spectrum of a promising dormant black hole candidate.

Initial condition files to be used with the GenetIC code to regenerate the full initial condition files used within the EDGE simulation suite.

Initial condition files to be used with the GenetIC code to regenerate the full initial condition files used within the EDGE simulation suite.