Syntax: RESTORE\HBOOK\LIST filename RESTORE\HBOOK\LIST\DIR filename directory Examples: RESTORE\HBOOK\LIST FILE.DAT RESTORE\HBOOK\LIST\DIR FILE.DAT `/SUB1/SUB2' If you use the \LIST qualifer, a listing of the contents of the data file will be displayed on your monitor screen. If the \DIR qualifier is used, the ZEBRA RZ directory within the file can be entered, using the absolute pathname in the ZEBRA syntax. The listing is produced by the HLDIR routine from the CERN library.
Syntax: RESTORE\HBOOK\RWN filename id RESTORE\HBOOK\RWN\DIR filename directory id This command will restore the Row Wise Ntuple with identification number id from an HBOOK data file. If the \DIR qualifier is used, the ZEBRA RZ directory within the file can be entered, using the absolute pathname in the ZEBRA syntax. By default, a vector will be created for each variable in the Ntuple, where the names of these vectors will be the tag names of the variables in the Ntuple. For now, Column Wise Ntuples cannot be restored in physica.
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For histogram number j, you get the following PHYSICA variables: variable name type description ------------------------------------------------------------------------ ID1[j] vector histogram identifier NBINS[j] vector number of bins NOENT[j] vector number of entries in histogram HMEAN[j] vector mean value HSTD[j] vector standard deviation HEQUIV[j] vector number of equivalent events ??? HSTART[j] vector starting index HXLO[j] vector xmin HXINC[j] vector bin size HLO[j] vector underflow HHI[j] vector overflow STRTHT[j] vector starting index for title LENHT[j] vector length of title
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For scatterplot number j, you get the following PHYSICA variables: variable name type description ------------------------------------------------------------------------ ID2[j] vector scatterplot identifier SNOENT[j] vector number of entries in scatterplot (including under/overflows) NSBINX[j] vector number of bins in x NSBINY[j] vector number of bins in y ISCAT[j] vector index of first bin SXLO[j] vector x minimum SXINC[j] vector x increment SYLO[j] vector y minimum SYINC[j] vector y increment OUTSID[1:8,j] matrix underflows and overflows STRTST[j] vector starting index for title LENST[j] vector length of title
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To plot histogram n: label\xaxis htitle[strtht[n]:strtht[n]+lenht[n]-1] scalar\dummy j graph\hist loop(hxlo[n]+(j-0.5)*hxinc[n],j,1:nbins[n]) - data[hstart[n]:hstart[n]+nbins[n]-1] or label\xaxis htitle[strtht[n]:strtht[n]+lenht[n]-1] generate x hxlo[n] hxinc[n],,nbins[n] y = data[hstart[n]:hstart[n]+nbins[n]-1] error = herror[hstart[n]:hstart[n]+nbins[n]-1] graph x y
To plot scatterplot n, using the diffusion type of density plot: label\xaxis stitle[strtst[n]:strtst[n]+lenst[n]-1] scalar\dummy j x = loop(sxlo[n]+(j-0.5)*sxinc[n],j,1:nsbinx[n]) y = loop(sylo[n]+(j-0.5)*syinc[n],j,1:nsbiny[n]) m = fold(data[iscat[n]:iscat[n]+nsbinx[n]*nsbiny[n]-1],nsbinx[n]) density\profiles\diffusion x y <-m ! <- is the transpose operator