Tutorial

Use idPIE X-ray profiles.

To use idPIE profiles, one must choose which dPIE profiles are considered to trace the X-ray signal. The idPIE profiles use the same parameters as the dPIE profiles, but convert them into their corresponding hydrostatic ICM density, and computes the expected X-ray signal. The joint optimisation of selected profiles yields additional constraints. In practice, dPIE profiles (id:81) are co-optimised with X-ray using idPIE profiles if keyword X-ray   2 is added to the profile script.

For instance:

potential O1
        profile          81
        X-ray            2
        x_centre         0.
        y_centre         0.
        ellipticity      0.5
        angle_pos        0.
        core_radius_kpc  100
        cut_radius_kpc   2500.
        v_disp           1000.
        z_lens           0.3
        end
limit O1
        x_centre         1 -10. 5. 0.01
        cut_radius_kpc   1 500. 10000. 100.
        end

This requires to format include the X-ray section:

X-ray
        pixel_area      0.00107584
        Chandra         1
        Optimization    1
        Optimization_z  0.4
        Temp0           13.4        # in keV
        Jz_array        1 polyE Jz_polyE_z0.4000.csv
        Type_factor_likelihood   1
        factor_cash     252.2
        constant_cash   0.
        bkg_map         3 bkg_map.fits
        count_map       3 count_map.fits
        exposure_map    3 exposure_map.fits
        end

where keywords Temp0 and Jz_array are proper to these hydrostatic X-ray profiles.

Temp0 is the pivot temperature model, eq. (17) in Allingham+23b: T_0(z) = T_{500,c} (z) T_{\rm ref}. It may be computed using routine predT:

predT0 <redshift> <model_type> <M_500,c>

where the mass M_{500,c} is in M_{\odot}, and the <model_type> corresponds to the regression used for P_e (n_e). By defult, use polyEv1 for the latter.

Jz_array indicates how to compute the Jz function, relating the potential to the ICM density n_e. It takes three arguments:

  • An integer. 0: do not perform the computation. 1: perform it.

  • A string for the model type. By default, use polyE. Other option is polyA, which should be more up-to-date.

  • A second string for the name of the output array. If the array is not computed (0), this array must already exist.