suter_aandClaude Opus 4.7
a575d7398e
Use the new coll[]/collErr[] interface so sigmaSC-vs-temp-py.txt computes both SigmaSC_10 and SigmaSC_150 in one block instead of one block per collection. Collection 0 is addressed by index (coll[0]) and collection 1 by name (coll['...Tscan.db']) to show both addressing modes. Output is unchanged. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
52 lines
1.4 KiB
Plaintext
52 lines
1.4 KiB
Plaintext
# This is a comment
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# Script: sigmaSC-vs-temp.txt
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loadPath ./
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load YBCO-40nm-FC-E3p8keV-B10mT-Tscan.db # collection 0
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load YBCO-40nm-FC-E3p8keV-B150mT-Tscan.db # collection 1
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# declare the python variables (one block for all of them, see below)
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var SigmaSC_10 = python
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var SigmaSC_10Err = python
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var SigmaSC_150 = python
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var SigmaSC_150Err = python
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# a single python block can serve several collections: address each one
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# explicitly via coll[]/collErr[], either by index (coll[0], B=10mT) or by name
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# (coll['...Tscan.db'], B=150mT). Both addressing modes are shown here.
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<python>
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import numpy as np
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# B=10mT -> collection 0, addressed by index
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s10 = np.array(coll[0]['Sigma'])
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se10 = np.array(collErr[0]['Sigma'])
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SigmaSC_10 = np.sqrt(abs(s10**2-0.11**2))
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SigmaSC_10Err = np.sqrt((s10*se10)**2+(0.11*0.0025)**2)/SigmaSC_10
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# B=150mT -> collection 1, addressed by name
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s150 = np.array(coll['YBCO-40nm-FC-E3p8keV-B150mT-Tscan.db']['Sigma'])
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se150 = np.array(collErr['YBCO-40nm-FC-E3p8keV-B150mT-Tscan.db']['Sigma'])
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SigmaSC_150 = np.sqrt(abs(s150**2-0.075**2))
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SigmaSC_150Err = np.sqrt((s150*se150)**2+(0.075*0.0025)**2)/SigmaSC_150
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</python>
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# link variables to collections
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col 0 : SigmaSC_10 # error variable SigmaSC_10Err doesn't need to be given, it is automatically linked to SigmaSC_10
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col 1 : SigmaSC_150
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norm
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select 0
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x dataT
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y SigmaSC_10
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select 1
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x dataT
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y SigmaSC_150
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savePath ./
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plot SigmaSCVsTemp_py.pdf
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macro SigmaSCVsTemp_py.C
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# end
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