;+ ;PROCEDURE: mvn_lpw_prd_lp_n_t_la ; ; Routine takes IV-cureves from both booms and combines them into one tplot variable for L2-production. ; The default swp1 and swp2 are from different subcycles. ; The sweep length can vary but the number of points in the sweep is fixed ; There will be error both in the current and the sweep potential ; The error information and flag information is taking also into consideration information from other sources such as spacecraft atitude. ; ;INPUTS: ; ext ;'l1a' 'l1b' or 'l2' what level of quality to produce ('l2' is full information to be archived) ; ;KEYWORDS: ; ;EXAMPLE: ; mvn_lpw_prd_lp_IV,'l1a' ; ; ;CREATED BY: Laila Andersson 11-04-13 ;FILE: mvn_lpw_prd_lp_IV.pro ;VERSION: 1.0 ;LAST MODIFICATION: ; 2014-05-22 L. Andersson sigificant update and working ; ;- pro mvn_lpw_prd_lp_n_t_la,ext print,'Running: mvn_lpw_prd_lp_n_t_la',' ',ext t_routine = SYSTIME(0) vers_prd = 'version prd_lp_n_t 1.0' ; the version number of this routine ;--------------------------------------------------------------------------------------------------- ;Check Inputs: ;--------------------------------------------------------------------------------------------------- IF size(ext, /type) NE 7 THEN BEGIN print, "### WARNING ###: Input 'ext' must be a string: l1a, l1b or l2. Returning." retall ENDIF ;--------------------------------------------------------------------------------------------------- ; Check tplot variables exist before using them: ;--------------------------------------------------------------------------------------------------- names = tnames(s) ;names is an array containing all tplot variable names currently in IDL memory. variables=['mvn_lpw_swp1_IV','mvn_lpw_swp2_IV'] missing_variable =' The following variables are missing: ' ; keep track if the data existed or not IF total(strmatch(names, variables[0])) EQ 1 THEN get_data,variables[0],data=data0,limit=limit0,dlimit=dlimit0 ELSE missing_variable=[missing_variable,variables[0]+' was not found'] IF total(strmatch(names, variables[1])) EQ 1 THEN get_data,variables[1],data=data1,limit=limit1,dlimit=dlimit1 ELSE missing_variable=[missing_variable,variables[1]+' was not found'] found_variables='found :' If size(data0, /type) EQ 8 then found_variables=[found_variables,variables(0)] If size(data1, /type) EQ 8 then found_variables=[found_variables,variables(1)] IF n_elements(found_variables) GT 1 THEN BEGIN ;big loop ;--------------------------------------------------------------------------------------------------- ; Merge the dlimit and limit information for tplot production in a routine called mvn_lpw_prd_limit_dlimt ;--------------------------------------------------------------------------------------------------- dlimit_merge = mvn_lpw_prd_merge_dlimit(found_variables) get_data,found_variables(1),data=data,limit=limit ; use data for default time array and limit for limit_l2 ;--------------------------------------------------------------------------------------------------- ; dlimit and limit created ;--------------------------------------------------------------------------------------------------- ;--------------------------------------------------------------------------------------------------- ; Creating the data_l2 product: ; Merge the data ; Modify the error information with respect of atitude and other things, for L1b, L2 ; Create a quality flag, for L1b, L2 ;--------------------------------------------------------------------------------------------------- mvn_lpw_prd_lp_n_t,'NeTeUsc' get_data,'mvn_lpw_prd_IV',data=data_01 get_data,'mvn_lpw_prd_Ne',data=data_02 get_data,'mvn_lpw_prd_Te',data=data_03 get_data,'mvn_lpw_prd_Usc',data=data_04 data_l2_x = data_01.x data_l2_y = fltarr(n_elements(data_l2_x),10) data_l2_dy = fltarr(n_elements(data_l2_x),10) data_l2_flag = fltarr(n_elements(data_l2_x)) data_l2_y(*,0) = data_04.y(*,0) data_l2_dy(*,0) = SQRT(abs(data_04.y(*,0))) data_l2_y(*,1) = data_04.y(*,1) data_l2_dy(*,1) = SQRT(abs(data_04.y(*,1))) data_l2_y(*,2) = data_04.y(*,2) data_l2_dy(*,2) = SQRT(abs(data_04.y(*,2))) data_l2_y(*,3) = data_02.y(*,0) data_l2_dy(*,3) = SQRT(abs(data_02.y(*,0))) data_l2_y(*,4) = data_02.y(*,1) data_l2_dy(*,4) = SQRT(abs(data_02.y(*,1))) data_l2_y(*,5) = data_02.y(*,2) data_l2_dy(*,5) = SQRT(abs(data_02.y(*,2))) data_l2_y(*,6) = data_03.y(*,0) data_l2_dy(*,6) = SQRT(abs(data_03.y(*,0))) data_l2_y(*,7) = data_03.y(*,1) data_l2_dy(*,7) = SQRT(abs(data_03.y(*,1))) data_l2_y(*,8) = data_03.y(*,2) data_l2_dy(*,8) = SQRT(abs(data_03.y(*,2))) data_l2_y(*,9) = data_03.y(*,2) *0.0 ; proxy data_l2_dy(*,9) = data_03.y(*,2) *0.0 ; proxy str_arr=['u0','u1','usc','ne','ne1','ne2','Te','Te1','Te2','nsc'] str_col=[ 4, 4, 0, 0, 2, 2, 0, 3, 3, 6] ; -------------- I here use the 'w' flag routine, the 'lp' routine might be the same or different IF strpos(dlimit_merge.spice_kernel_flag, 'not') eq -1 THEN $ ; what aspects should be evaluates check_varariables=['wake','sc_shadow','planet_shadow','sc_att','sc_pos','thrusters','gyros'] ELSE $ check_varariables=['fake_flag'] ; for now mvn_lpw_prd_w_flag, data_l2_x,check_varariables,data_l2_flag, flag_info, flag_source, vers_prd ; this is based on mag resolution ; -------------- merge the data ;--------------------------------------------------------------------------------------------------- ; end of creating the data_l2 product ;--------------------------------------------------------------------------------------------------- ;--------------------------------------------------------------------------------------------------- ; Create the L2 tplot variables ;--------------------------------------------------------------------------------------------------- ;------------------ Variables created not stored in CDF files ------------------- ; ; None ; ;------------------ Variables created not stored in CDF files ------------------- ;------------------All information based on the SIS document------------------- ;-------------------- tplot variable 'mvn_lpw_w_spec_L2' ------------------- ;--------------------- SIS name: LPW.calibrated.w_spec (act/pas) ------------------- ;------------------- There will be 1 CDF file per day -------------------- data_l2 = create_struct( $ ; Which are used should follow the SIS document for this variable !! Look at: Table 14: Contents for LPW.calibrated.w_spec_act and LPW.calibrated.w_spec_pas calibrated data filed. 'x', data_l2_x, $ ; double 1-D arr 'y', data_l2_y, $ ; most of the time float and 1-D or 2-D 'dy', data_l2_dy, $ ; same size as y 'flag', data_l2_flag) ;1-D ;------------------------------------------- dlimit_l2=create_struct( $ 'Product_name', 'MAVEN LPW density and temperature Calibrated level '+ext, $ 'Project', dlimit_merge.Project, $ 'Source_name', dlimit_merge.Source_name, $ ;Required for cdf production... 'Discipline', dlimit_merge.Discipline, $ 'Instrument_type', dlimit_merge.Instrument_type, $ 'Data_type', 'CAL>calibrated', $ 'Data_version', dlimit_merge.Data_version, $ ;Keep this text string, need to add v## when we make the CDF file (done later) 'Descriptor', dlimit_merge.Descriptor, $ 'PI_name', dlimit_merge.PI_name, $ 'PI_affiliation', dlimit_merge.PI_affiliation, $ 'TEXT', dlimit_merge.TEXT, $ 'Mission_group', dlimit_merge.Mission_group, $ 'Generated_by', dlimit_merge.Generated_by, $ 'Generation_date', dlimit_merge.Generation_date+' # '+t_routine, $ ;Gives the date and time the data is derived and the CDF file was created - can be multiple times ponts 'Rules_of_use', dlimit_merge.Rules_of_use, $ 'Acknowledgement', dlimit_merge.Acknowledgement, $ 'Title', 'MAVEN LPW n, T: L2', $ ;#### ;As this is L0b, we need all info here, as there's no prd file for this 'x_catdesc', 'Timestamps for each data point, in UNIX time.', $ 'y_catdesc', 'n, T', $ ;### ARE UNITS CORRECT? v/m? ;'v_catdesc', 'test dlimit file, v', $ ;### 'dy_catdesc', 'Error on the data.', $ ;### ;'dv_catdesc', 'test dlimit file, dv', $ ;### 'flag_catdesc', 'test dlimit file, flag.', $ ; ### 'x_Var_notes', 'UNIX time: Number of seconds elapsed since 1970-01-01/00:00:00.', $ 'y_Var_notes', 'ExB notes', $ ;'v_Var_notes', 'Frequency bins', $ 'dy_Var_notes', 'The value of dy is the +/- error value on the data.', $ ;'dv_Var_notes', 'Error on frequency', $ 'flag_Var_notes', 'Flag variable', $ 'xFieldnam', 'x: More information', $ ;### 'yFieldnam', 'y: More information', $ 'vFieldnam', 'v: More information', $ 'dyFieldnam', 'dy: More information', $ 'dvFieldnam', 'dv: More information', $ 'flagFieldnam', 'flag: More information', $ 'derivn', 'Equation of derivation', $ ;#### 'sig_digits', '# sig digits', $ ;##### 'SI_conversion', 'Convert to SI units', $ ;#### 'MONOTON', dlimit_merge.MONOTON, $ 'SCALEMIN', min(data_l2_y), $ 'SCALEMAX', max(data_l2_y), $ ;..end of required for cdf production. 'generated_date' , dlimit_merge.generated_date + ' # ' + t_routine ,$ 't_epoch' , dlimit_merge.t_epoch, $ 'Time_start' , dlimit_merge.Time_start, $ 'Time_end' , dlimit_merge.Time_end, $ 'Time_field' , dlimit_merge.Time_field, $ 'SPICE_kernel_version', dlimit_merge.SPICE_kernel_version, $ 'SPICE_kernel_flag', dlimit_merge.SPICE_kernel_flag, $ 'Flag_info' , flag_info, $ 'Flag_source' , flag_source, $ 'L0_datafile' , dlimit_merge.L0_datafile, $ 'cal_vers' , dlimit_merge.cal_vers+ ' # ' + vers_prd,$ 'cal_y_const1' , dlimit_merge.cal_y_const1, $ 'cal_y_const2' , 'Merge level:' +strcompress(1,/remove_all) ,$ 'cal_datafile' , ' TBD ', $ 'cal_source' , dlimit_merge.cal_source, $ 'xsubtitle' , '[sec]', $ 'ysubtitle' , '[misc]', $ 'cal_v_const1' , 'NA', $ 'cal_v_const2' , 'NA', $ 'zsubtitle' , 'NA') ;------------------------------------------- limit_l2=create_struct( $ ; Which are used should follow the SIS document for this variable !! Look at: Table 14: Contents for LPW.calibrated.w_spec_act and LPW.calibrated.w_spec_pas calibrated data file. 'char_size' , limit.char_size ,$ 'xtitle' , limit.xtitle ,$ 'ytitle' , 'Misc' ,$ 'yrange' , [min(data_l2_y,/na),max(data_l2_y,/na)] ,$ 'noerrorbars', 1, $ 'labels' , str_arr,$ 'colors' , str_col,$ 'labflag' , 1) ;--------------------------------------------- store_data,'mvn_lpw_lp_n_t_'+ext,data=data_l2,limit=limit_l2,dlimit=dlimit_l2 ;--------------------------------------------- ;--------------------------------------------------------------------------------------------------- ; end tplot production ;--------------------------------------------------------------------------------------------------- ENDIF ELSE print, "#### WARNING #### No data present; mvn_lpw_prd_lp_IV.pro skipped..." end ;*******************************************************************