The basic use of the code involves running the following programs in this order.
Creates a single-star isochrone which you can overlay on your data. You should use this before you do any fitting to get a feel for where the correct parameters lie, and if there are any obvious outliers.
This creates the 2D isochrone models required by grid using a Monte-Carlo technique. You will be asked for a model number and the colour combination you want. The output files consist of the 2D isochrones (e.g. geneva_V_B-V_07.000.00.fit, where the number is the base ten logarithm of the age in years) and a list of the first 10,000 simulated stars (e.g. geneva_V_B-V_07.000.00.iso). The latter is useful if the isochrone does not stretch as far in the 2D CMD as you think it should. If you sort the file on the third column (mass), and then examine the last column (flag) you can get an idea of if it is (say) the model isochrone which does not stretch to the mass you want, or the conversions from luminosity and temperature to magnitude and colour.
Takes an ASCII file of one row for each star, with many columns of colours, uncertainties and ID number and converts it to a cluster format file, which is appropriate for the remaining programs. You are prompted for which colours you have, and which columns are which.
This takes a catalogue of observations in cluster format and fits them to a model. It does this by a grid search in the parameter space. It assumes that the uncertainties you give for say V and B-V are correlated, unless the uncertainties in colour are smaller than those in magnitude. It then creates uncertainties in each magnitude, e.g. V and B. The final tau-squared it gives you is after removing data points whose tau-squared lies above the clipping threshold.
After running the code you should first look at grid_npts.fit, which shows the number of data points which were within the model image for each set of parameters. For grid to work properly you need to have all the data on all the models. If grid_npts shows this is not happening (i.e. the number of points is different for some models) you either need to trim your dataset, or expand the mass range in your models.
Next look at grid.fit. Does the minimum lie in the range of parameters you have searched?
A catalogue of observations in cluster format. If you wish to use individual membership priors for each star, they should be in a colour labelled "Prior". The file name is prompted for.
You are prompted for the magnitudes and colours to use for fitting, if there are more than two of them.
You are prompted for the extra uncertainty to be added in quadrature to those given in the file for the colour and magnitude.
Next you are asked for the range of ages (of course these have to match files which you created using monte), and the range in distance modulus to be searched.
If the models are reddened using an extinction vector you will be prompted for the reddening to be applied. If the models use extinction tables, then you will be told the extinction which was applied by monte.
Finally, if you have not provided membership probabilities in the input file you will be prompted for the fraction of stars which are likely to be members. If you did provide membership probabilities, you will be prompted for the maximum probability to be used, and all your individual probabilities will be multiplied by this. For further details of how to use membership probabilities see Section 4.1 and Appendix C of Bell, Mamajek & Naylor.
fitted.cat - All the data points that were actually used, with the systematic uncertainty added. Columns are added for the prior membership probability used and the posterior membership probability calculated.
grid.fit - The grid of tau-squared as a function of the parameters searched (in FITS format). You should check this to ensure that your best-fitting parameter values are not near the edge of the parameter space you have searched. The values of tau-squared in this file include the contributions from all data points, though those with high tau-squared will have had their values set to the maximum allowed. Where the probability of any single datapoint becomes so small that it would cause a numerical underflow (and hence taking the log of it would be problematical) the tau-squared for the entire fit is set to a high number. Hence the grid will have a sudden jump in tau-squared where the underflow happens.
fitted_abs.cat - As above but in absolute magnitude.
best_model.fit - The best fitting model corrected to the appropriate reddening and distance modulus.
distrib.tau - The histogram of the tau-squared from each data point.
grid_npts.fit - An image representing the number of data points within the magnitude range of the model images as a function of the parameters searched. You should use this to check that none of your data points have "slipped off" the edge of your model images in the parts of the parameter space you care about.
Calculates the expected value of tau^2 for you.
The best fitting model (e.g. best_model.fit)
integ.tau - The cumulative distribution of tau-squared. Search through
this file to find the nearest value of tau-squared to the
one you have, and the number next to it is the
corresponding value of Pr(tau-squared).
This is also given in the output from the program.
Derives uncertainty contours in tau-squared space. The 68 percent confidence limit is printed to the screen, as are some one-dimensional parameter limits. Use the latter with the same caution you would in the chi-squared case, i.e. if you have one free parameter they are right, more than that and they do not allow for any correlation in the parameters.
You should plot the 68 percent confidence limit over grid.fit, and check the parameter space is more than big enough to enclose it. If not, go back to running grid. A good test to see if the parameter space you have searched is large enough is to double the range of each parameter and see if the 68 percent confidence contour changes position. If it does, it implies the fist run did not include the bulk of the probability.
grid.fit - From grid. The tau-squared grid from the fitting process.
You are not prompted for this, it is read automatically.
uncer.out - The values of tau^2 appropriate for each confidence
limit. Read down the confidence limits to find the appropriate value
for a tau-squared contour.
Model IsochronesThe isochrones consist of two distinct parts. The first part is the model interiors which give effective temperature and luminosity. The second is the bolometric corrections which convert these into colour and magnitude, that are calculated by folding model atmospheres through the photometric system responses. Any set of bolometric corrections can be used with any of the model atmospheres but you may want to be careful about combining one metallicity of interior with a different metallicity atmosphere.
Models supplied with the codeThe easiest thing to start with is to use the models supplied. There is a table of model interiors and a page describing the bolometric corrections which are supplied with the code.
User supplied models with fixed ages
You can also supply your own isochrones. The simplest way to do this is to supply an isochrone at the age and extinction you require, with all the magnitudes supplied. The format of the file is as follows.
The code uses the last header line to pick out the columns it wants, and is quite intelligent at doing so. so not all the columns are needed. The mass used is M_ini. You then use user option for the interior models, and you will be prompted for a file name. When prompted for the atmospheric models to use, you can either give the answer 0, in which case the ones from the file will be used, or you can choose from the list.
You may have spotted that the code asks you for the age. This is because you can have many isochrones in the file, as provided one of them is a precise match to the age you want, the code will select it. The obvious next stage, therefore, is to supply a set of isochrones, and get the code to interpolate. A word of warning first. Interpolating in age for post-main-sequence isochrones is a subtle art best left to those who create the iscohrones, since they can track the structural changes which lead to sharp changes in the rate at which the observable parameters vary. Thus supplying an isochrone at the correct age is probably best. This contrasts with the situation for pre-main-sequence models where the variations are smooth and CMDfit's linear interpolation can cope. In that case you should follow the instructions below for adding new isochrones or tracks.
Adding New Isochrones and tracks for interpolationThe code to read in the interior models distinguishes between models which are presented with many records with identical ages, but different masses (isochrones) and those with many records of identical masses, but different ages (tracks). These use different read routines, and you distinguish between then by the suffixes. For isochrones the suffix is .iso and the routine to read them is sophisticated, and will cope with the data within a record in any order you like provided you use the correct headers (see below). Conversely the track reader is primitive, and demands three lines of header, followed by records which are mass (in solar masses), age (in Gyr), effective temperature (in Kelvin), log gravity and log luminosity. Any suffix will work for these files provided it is not .iso, and it also should not be .trk, as I am reserving this for a proper track reader. The file itself should be put in $CMDDATA. You should then edit the file in that directory called setup.int, and add a line which first has a label for the isochrones (in quotes) and then the name of the file (again in quotes). I strongly advise putting it at the end of the file, otherwise the code will renumber all the other interior models, and any scripts you have written will now use different isochrones.
Adding new model atmospheresThe first few lines of a bolometric correction file may look like this.
# File written at 2010/06/01 10:38:21.647
# Kurucz model atmospheres odfnew; photon integration, Bessell filters including atmosphere.
# Teff LogG BC_B-U BC_B BC_V BC_R BC_I
3.50000e+03 0.00000e+00 2.34228e+00 -3.81739e+00 -2.06277e+00 -9.65708e-01 2.81608e-01
3.50000e+03 5.00000e-01 2.06988e+00 -3.74216e+00 -2.11063e+00 -1.01700e+00 2.78680e-01
You should place such a file in $CMDDATA, and then add a new line to setup.bc. This file has four entries per line, each enclosed in quotes. The first is a general name for the atmospheres, the second is the data file in which they can be found, the third is the name of the extinction file to be used with them (can be left blank) and the last is the name of the isochrones the bolometric corrections should be used with. This is normally blank, but if the bolometric corrections are, say, Pleiades tuned, it should state which models they were tuned against.
Adding new reddening vectors
Most of the reddening is now done through the .ext files prepared by reddening the spectra before folding them through band passes. However, there are a few reddening vectors which are stored in the .rv files. They are paired with model atmospheres in the file setup.bc. The format is as many lines of comments prefaced by a # as you want, followed by a line like
# V B-V const, red1, red2, col1, col2
where for a simple BV reddening law const is, say, Av/E(B-V), i.e. about 3.1. The other terms are first and second order terms in reddening and colour, such that for a given reddening E(B-V)=e the magnitude is increased by
(const + red1*e + red2*e^2 + col1*(B-V) + col2*(B-V)^2 )*e.
The File Format
The programs use a unified file format for isochrones, tracks and bolometric corrections.
This is close to the format in which some of the theory groups provide the data, so simple
changes in the headers will make them compatible, but also allows them to be read by
There are as many lines of header comments as you like, introduced with hash (#), but
the final line must be a # followed by a list of the names of the columns.
There are various standard names which allow you to label columns in a way the software
will understand. These are as follows.
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