bnmr/bnqr泥浆文件读取器及非对称计算器
bdata的Python项目详细描述
b数据
测试数据包。bdata对象很大程度上是一个数据容器，用于读取MUD数据文件并提供用户友好的访问BNMR/BNQR data。
设置
- 使用pip安装：
pip install bdata - 导出用于查找数据文件的环境变量（添加到
.bashrc或类似文件） 设置环境变量bnmr_u archive和bnqr_u archive，以便 可以按照以下方案访问MSR文件：${BNMR_ARCHIVE}/year/filename ${BNQR_ARCHIVE}/year/filename
对象映射
签名：
bdata(run_number,year=None,filename='')
示例：
bd=bdata(40001)# read run 40001 from the current year. bd=bdata(40001,year=2017)# read run 40001 from year 2017.bd=bdata(0,filename='filename.msr')# read file from local memory, run number unused
函数：
| Signature | Description |
|---|---|
| ^{ | Calculate asymmetry. See below for docstring. |
| ^{ | Get beam implantation energy in keV |
| ^{ | Get beam pulse duration in s |
其他功能
表示
表示已被很好地格式化，以便键入对象 name进入解释器会产生很好的输出。
操作员
bvar、bscaler和bhist对象允许算术或逻辑 要使用的运算符，其中操作中使用的值是 平均数、计数或数据数组。
示例：bd.ppg.bias15 + 1
相当于
bd.ppg.bias15.mean + 1
属性的特殊规则
如果在bdata中找不到属性，它将查找 bdict对象中的属性按顺序：camp、epics、ppg、hist。 这个二级属性搜索比常规的要慢得多 进入。
bdict对象都允许分配和获取字典键
好像它们是属性。注意，可以用p替换+，
以及-和m以允许获取直方图。
示例：bd.ppg.beam_on，bd.ppg['beam_on']，bd.beam_on都有
完全相同的输出，最后一个比
其他人。
bdata.asym（）文档字符串
usage: asym(option="",omit="",rebin=1,hist_select='')
Inputs:
options: see below for details
omit: 1f bins to omit if space seperated string in options
is not feasible. See options description below.
rebin: SLR only. Weighted average over 'rebin' bins to
reduce array length by a factor of rebin.
hist_select: string to specify which histograms get combined into
making the asymmetry calculation. Deliminate
with [,] or [;]. Histogram names cannot
therefore contain either of these characters.
Asymmetry calculation outline (with default detectors) ---------------
Split helicity (NMR): (F-B)/(F+B) for each
Combined helicity (NMR): (r-1)/(r+1)
where r = sqrt([(B+)(F-)]/[(F+)(B-)])
Split helicity (NQR): (R-L)/(R+L) for each
Combined helicity (NQR): (r-1)/(r+1)
where r = sqrt([(L+)(R-)]/[(R+)(L-)])
Alpha diffusion (NQR) sum(AL0)/sum(L+R)
Alpha tagged (NQR) same as NQR, but using the tagged counters
Histogram Selection ---------------------------------------------------
If we wished to do a simple asymmetry calculation in the form of
(F-B)/(F+B)
for each helicity, then
|--| |--| paired counter location
hist_select = 'F+,F-,B+,B-'
|-----| paired helicities
|-----|
for alpha diffusion calculations append the two alpha counters
hist_select = 'R+,R-,L+,L-,A+,A-
for alpha tagged calculations do the following
hist_select = 'R+,R-,L+,L-,TR+,TR-,TL+,TL-,nTR+,nTR-,nTL+,nTL-'
where TR is the right counter tagged (coincident) with alphas,
TL is the left counter tagged with alphas,
nTR is the right counter tagged with !alphas (absence of),
nLR is the right counter tagged with !alphas,
Status of Data Corrections --------------------------------------------
SLR/2H:
Removes prebeam bins.
Rebinning:
returned time is average time over rebin range
returned asym is weighted mean
1F:
Allows manual removal of unwanted bins.
Scan Combination:
Multiscans are considered as a single scan with long
integration time. Histogram bins are summed according to
their frequency bin, errors are Poisson.
1N:
Same as 1F. Uses the neutral beam monitor values to calculate
asymetries in the same manner as the NMR calculation.
2E:
Prebeam bin removal.
Postbeam bin removal. Assumes beamoff time is 0.
Splits saved 1D histograms into 2D.
Asymmetry calculations:
raw: calculated through differences method (as described in
the asymmetry calculation outline)
dif: let 0 be the index of the centermost scan in time. dif
asymmetries are then calculated via raw[i+1]-raw[i-1],
where "raw" is as calculated in the above line, for each
of the three types: +,-,combined
sl: take a weighted least squares fit to the two bins prior
and the two bins after the center bin (in time). For
each find the value of the asymmetry at the center time
position. Take the difference: post-prior
Return value depends on option provided:
SLR DESCRIPTIONS --------------------------------------------------
"": dictionary of 2D numpy arrays keyed by
{"p","n","c","time_s"} for each helicity and combination
(val,err). Default return state for unrecognized options
"h": dictionary 2D numpy arrays keyed by {"p","n","time_s"} for
each helicity (val,err).
"p": 2D np array of up helicity state [time_s,val,err].
"n": 2D np array of down helicity state [time_s,val,err].
"c": 2D np array of combined asymmetry [time_s,val,err].
"ad": 2D np array of alpha diffusion ratio [time_s,val,err].
"at": dictionary of alpha tagged asymmetries key:[val,err].
Keys:
'time_s' : 1D array of times in seconds
'p_wiA','n_wiA','c_wiA': coincident with alpha
'p_noA','n_noA','c_noA': coincident with no alpha
'p_noT','n_noT','c_noT': untagged
where p,n,c refer to pos helicity, neg helicity, combined
helicity respectively. Only in 2h mode.
1F DESCRIPTIONS ---------------------------------------------------
all options can include a space deliminated list of bins or
ranges of bins which will be omitted. ex: "raw 1 2 5-20 3"
"": dictionary of 2D numpy arrays keyed by {p,n,c,freq} for each
helicity and combination [val,err]. Default return state
for unrecognized options.
"r": Dictionary of 2D numpy arrays keyed by {p,n} for each
helicity (val,err), but listed by bin, not combined by
frequency.
"h": get unshifted +/- helicity scan-combined asymmetries as a
dictionary {'p':(val,err),'n':(val,err),'freq'}
"p": get pos helicity states as tuple, combined by frequency
(freq,val,err)
"n": similar to p but for negative helicity states
"c": get combined helicity states as tuple (freq,val,err)
2E DESCRIPTIONS ---------------------------------------------------
Takes no options. Returns a dictionary with the keys:
'dif_p': [val,err][frequency] of pos. helicity asymmetry
'dif_n': [ve][f] of negative helicity asymmetry
'dif_c': [ve][f] of combined helicity asymmetry
'raw_p': [ve][f][time] raw asymmetries of each time bin. Pos hel.
'raw_n': [ve][f][t] negative helicity.
'raw_c': [ve][f][t] combined helicity
'freq': [f] frequency values
'time': [t] time bin values
'sl_p': [ve][f] pos. hel. of asymmetry calcuated through slopes
of pre and post middle time bin. Slope method only
for >= 5 time bins, corresponds to >= 3 RF on delays
'sl_n': [ve][f] negative helicity.
'sl_c': [ve][f] combined helicity.
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