Hi Dave, I tried to do the fit. I fixed the densities, and constrain the other parameters as follows (data_vec2 corresponds to MEG +- 1 data): fit_fun( "xaped(1) * phabs(1)" ); list_par; set_par("xaped(1).norm",0.0005,0); set_par("xaped(1).temperature",1e+7,0, 1.e6, 1.e8); set_par("xaped(1).density",1,1); use_thermal_profile; set_par( "xaped(1).vturb", 300, 0, 0.0, 1000); set_par( "phabs(1).nH", 0.1, 0, 0, 0.5); list_par; renorm_counts; list_par; exclude( all_data ); list_data; include(data_vec2); list_data; group_data( data_vec2, 4 ); xnotice( data_vec2, lo, lf ); fit_counts; popt.res=4; plot_counts( -data_vec2,popt ); list_par; But it get the following output for model parameters: Parameters[Variable] = 7[4] Data bins = 1052 Chi-square = 2.04803e+13 Reduced chi-square = 1.954227e+10 Graphics device/type (? to see list, default /xwin): Invalid: plot limits plot failed xaped(1) * phabs(1) idx param tie-to freeze value min max 1 xaped(1).norm 0 0 -5.087167e-28 0 0 2 xaped(1).temperature 0 0 1e+07 1000000 1e+08 3 xaped(1).density 0 1 1 0 0 4 xaped(1).vturb 0 0 300 0 1000 5 xaped(1).redshift 0 1 0 0 0 6 xaped(1).metal_abund 0 1 1 0 0 7 phabs(1).nH 0 0 0.1 0 0.5 When I fix the xaped(1).norm to 0.0005, I get: Parameters[Variable] = 7[3] Data bins = 1052 Chi-square = 2.86434e+54 Reduced chi-square = 2.730544e+51 Graphics device/type (? to see list, default /xwin): xaped(1) * phabs(1) idx param tie-to freeze value min max 1 xaped(1).norm 0 1 0.0005 0 0 2 xaped(1).temperature 0 0 1000000 1000000 1e+08 3 xaped(1).density 0 1 1 0 0 4 xaped(1).vturb 0 0 0 0 1000 5 xaped(1).redshift 0 1 0 0 0 6 xaped(1).metal_abund 0 1 1 0 0 7 phabs(1).nH 0 0 0.5 0 0.5 10^22 I the both cases, I get a model with counts=0, for all channels. I think I am still missing something. Thanks Raul On Wed, May 22, 2013 4:50 pm, David P. Huenemoerder wrote: > > Raul> I have combined the data from HEG +/- 1 and MEG +-1. Is it > Raul> possible to fit the combined spectrum with some xpec model (or > Raul> what else), using > > Raul> fit_fun("apec"); > Raul> fit_counts; > > Hi Raul, > > Short answer is "yes". But there is a lot implied in your email. > Here's what I typically do (or the equivalent of, and there are, of > course, variations on the theme): > > Load your data, arfs, and rmfs: > > h = load_data( "pha2", [3,4,9,10] ); % load HEG and MEG rows > > amm = load_arf( "meg_-1.arf" ); > amp = load_arf( "meg_1.arf" ); > ahm = load_arf( "heg_-1.arf" ); > ahp = load_arf( "heg_1.arf" ); > > rmm = load_arf( "meg_-1.rmf" ); > rmp = load_arf( "meg_1.rmf" ); > rhm = load_arf( "heg_-1.rmf" ); > rhp = load_arf( "heg_1.rmf" ); > > If you use the tgcat.sl suite and files donwloaded from tgcat.mit.edu, > all that can be done via: > > d = load_set_acis( "your_data_directory", [3,4,9,10] ); > > (it assumes the tgcat generic file naming scheme) > > (I like to keep the returned values, especially for use in scripts. For > interactive use, you don't necessarily need to use "x = ...".) > > Set flags for combining the data: > > gh = combine_datasets( h[[0,1]] ); > gm = combine_datasets( h[[2,3]] ); > > (without the variable h, you could do: gh = combine_datasets( [1,2] ); > etc) > > Note that this does not add any spectra, arfs or rmfs, but solely sets > flags identifying which are to be combined. > > You can use the xspec apec model if you want. If you have AtomDB > installed, then there are advantages to using a native ISIS plasma > model, since then you can query the database after model evaluation for > the explicit line contributions (e.g., line ids, fluxes, etc, per > wavelength range, by element, ion; that's another topic; see > create_aped_fun, plot_group, for examples). > > For the question at hand, we'll use the xspec model: > > fit_fun( "apec(1) * phabs(1)" ); > > list_par; > > set_par( ...); > > exclude( all_data ); % in case I have multiple datasets loaded > > include( h ); % include the spectra of interest > > group_data( h, 2 ); % bin up a bit, uniformly (more or less if needed) > > xnotice( h, 1.7, 25 ); % notice the data and region of interest > > fit_counts; > > Fitting is the same whether you have done combine_datasets, or not. In > this case, you have specified that MEG +-1 be combined, and that HEG +-1 > be combined. When fit, the model is folded through the response for > each grating and order, then before computing the statistic, the MEG > data are added, the MEG model counts are added, and ditto for HEG, then > the statistic computed (see the help for combine_datasets). So MEG and > HEG are fit jointly, while each one is combined. If you are photon > starved and want to combine them all, you first need to > match_dataset_grids: > > match_dataset_grids( h[[2,0,1]] ); % put HEG on MEG grid > > g = combine_datasets( h ); > > > Now, visualizing is another issue. If you use the tgcat.sl suite, it > will load fancy_plots.sl, which has functions for plotting combined > data: > > popt.res = 4; % combined residuals > plot_counts( -[2,3], popt ); % negative sign means combine before > plotting > > or equivalently: > > plot_counts( -gm, popt ); % using group id. > > > There are also plot_data() (count rate) and plot_unfold() (fluxed > units). > > > > > -- Dave > > David Huenemoerder 617-253-4283 (o); -253-8084 (f); > http://space.mit.edu/home/dph > MIT Kavli Institute for Astrophysics and Space Research > One Hampshire Street, Room NE80-6065 > Cambridge, MA 02139 > [Admin. Asst.: Elaine Tirrell, 617-253-7480, egt_at_email.domain.hidden> > ---- You received this message because you are subscribed to the isis-users list. To unsubscribe, send a message to isis-users-request_at_email.domain.hiddenwith the first line of the message as: unsubscribeReceived on Fri May 24 2013 - 15:41:10 EDT
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