This folder contains all the data points to make the plots associated with this paper.

Fig1: In healpy scheme.

Fig2: In healpy scheme.

Fig3: The dictionary contains the histrograms grouped by galaxy morphologies. The first object in each key represents the histogram values (density normalized) and the second object represents the edge values. The length of the bin edges is nbins + 1 (nbins left edges and right edge of last bin).

Fig4: The dictionary contains the histograms grouped by spectral type determined by the DESI RedRock algorithm. The first object in each key represents the histogram values (density normalized) and the second object represents the edge values. The length of the bin edges is nbins + 1 (nbins left edges and right edge of last bin).

Fig5: The dictionary contains 2D histograms group by quality of redshifts. The first object in each key represents the histogram values (density normalized). The second and the third objects represent bin edges along x and y axes. The length of the bin edges is nbins + 1 (nbins left edges and right edge of last bin).

Fig6: The values are shown explicitly in the paper. 

Fig7: The dictionaries are named after the colors in the plot. Each dictionary contains a key with the redshifts and another key with the density normalized redshift distributions. 

Fig8: In healpy scheme.

Fig9: The dictionary contains the histrograms grouped by ELG number count inside versus outside the Sagittarius Stream. The first object in each key represents the histogram values (density normalized) and the second object represents the edge values. The length of the bin edges is nbins + 1 (nbins left edges and right edge of last bin).

Fig10: Correlation matrix with the top-left representing C_gg - C_gg and bottom-right representing C_kg - C_kg.

Fig11: The file contains MCMC chains in shape of (Number of steps, Number of walkers, number of parameters). The parameters are in the following order: [galaxy bias, A_s, O_CDM, sigma8]. The truth values are given in truth.txt. 

Fig12: The dictionary contain all the relevant information to plot the observer power spectra and the best fit model. The bin centers are given under the key 'bin_centers' and has 9 elements. The key 'data' contains 5 keys, each representing the corrected power spectra for a different Galactic Extinction map. The first 9 elements represent C_gg and the latter 9 represent C_kg. 'variances' has the same structure as 'data'; it contains the variance of each corresponding bin. 'best_fit_c_ells' has the same structure as 'data'; it contains the best fit models. 

Fig13: The dictionary contain all the relevant information to plot the cumulative signal-to-noise. The bin centers are given under the key 'bin_centers' and has 9 elements. The key 'cumulative_SNR' contains 5 keys, each representing the corrected power spectra for a different Galactic Extinction map. This key further contains two keys, 'gg' and 'kg', each 9 elements long, representing the cumulative signal-to-noise. 

Fig14: The dictionary contain all the relevant information to plot the ratio of the data to the best-fit models. The bin centers are given under the key 'bin_centers' and has 9 elements. The key 'data_to_model_ratio' contains 5 keys, each representing the corrected power spectra for a different Galactic Extinction map; within these keys are two further keys 'gg' and 'kg', representing the ratio of the data to the best fit model for the auto and cross power spectra. The key 'errorbars' has the same structure as 'data_to_model_ratio' and contains the errorbars. The key 'uncorrected_c_ells' contain the data-to-model ratio with respect to the best fit model when using the Zhou Galactic Extinction map; it also contains two sub-keys 'gg' and 'kg' that contain the ratio values. 

Fig15: The dictionary contain all the MCMC chains. Each key represent the corrected power spectra for a different Galactic extinction map. The chains are in the form (Number of steps, Number of Walkers, Number of parameters). The parameters are (galaxy bias, A_s, Omega_CDM, sigma8). To obtain the Omega_M as the paper, add Omega_b = 0.04845 (from 2401.15054) to all the Omega_CDM values. 

Fig16: Using the same chains as Fig15. The DES chain is obtained from https://desdr-server.ncsa.illinois.edu/despublic/y3a2_files/chains/chain_des_all_lcdm.txt and the Planck chain is obtained from https://irsa.ipac.caltech.edu/data/Planck/release_3/ancillary-data/cosmoparams/COM_CosmoParams_base-plikHM-TTTEEE-lowl-lowE_R3.00.zip. 

Fig17: Go to https://www.legacysurvey.org/viewer#*alf%20Leo and https://www.legacysurvey.org/viewer#NGC%202403 and turn on "DESI Dark-time Targets (DR9/Main)" under the tab "DESI Targets".

Fig18: There are two dictionaries in this folder, referring to before and after the mask cuts. The first dictionary key "density_ratio_left" refers to the left-hand circular plot showing the relative overdensity of ELG targets. The axes can be obtained by setting the argument 'extent' to [-3600.,  3600., -3600.,  3600.] in the matplotlib function `imshow`. The key 'frac_overdensity' is the flattened version of the `density_ratio_left` used to plot the right-hand figure. The key 'distance' refers to the x-axis values of the right-hand plot. The keys 'distance_mean_orange' and 'frac_overdensity_mean_orange' refer to the orange curve which is the mean of the scatter plots on the right-hand plot. 

Fig19: The dictionary "Fig19_galaxy_mask.pickle" contains the key "mag" referring to the stellar magnitude and three additional keys referring to the three curves shown on the right plot. The dictionary "Fig19_stellar_mask.pickle" contains the key "g_band_mag" referring to the galaxy magnitude and the five additional keys refer to the four curves shown on the left plot. 

Fig20: The matrix contains all the indices of the Planck simulations and the ELG window function realizations used to estimate the norm correction of C_kg. The matrix is of the shape (Number of realizations, Number of bootstraps per realization, Number of simulations). For each realizations, the mean of the boostraps are taken into account. [:,:0] refer to the Planck simulation index and [:,;,1] refer to the ELG window function realization index. 

Fig21: The dictionary contains all the realizations of the norm corrected C_kg from Planck simulations. The bin centers are given under the key 'bin_centers'. The realizations are given under the key 'bootstrap_realizations' and the corresponding errorbars are under the key 'errorbars'.

Fig22: This is the correlation matrix showing binned correlation of C_kg at different ell when ELG window function and the Planck simulation realizations are taken into account. 

Fig23: This dictionary contains ratio of uncertainties coming only from the MC norm correction and the entire error budget. The bin centers are given under the key 'bin_centers'. The ratios are given under 'ratio_of_standard_deviations'. 

Fig24: This dictionary contains the norm correction factor A_ell as a function of different Galactic Extinction corrections. The bin centers are given under the key 'bin_centers'. The key 'Multiplicative_bias_A_ell' contains five keys, each representing a different Galactic extinction correction, showing the multiplicative bias correction A_ell.

