[dsg-hdice] hdice and hall a meetings

Amrit Yegneswaran yeg at jlab.org
Thu May 28 12:10:06 EDT 2020


but why would one need credit, unless of course one does, in which case one would attend all three.
if you cant attend all three just do it for the fun of it!

________________________________
From: Brian Eng <beng at jlab.org>
Sent: Thursday, May 28, 2020 11:59 AM
To: Amrit Yegneswaran <yeg at jlab.org>; dsg-hdice at jlab.org <dsg-hdice at jlab.org>
Subject: Re: hdice and hall a meetings

For those engineering courses, you have to attend all 3 to get credit though.

________________________________
From: dsg-hdice <dsg-hdice-bounces at jlab.org> on behalf of Amrit Yegneswaran <yeg at jlab.org>
Sent: Thursday, May 28, 2020 11:36 AM
To: dsg-hdice at jlab.org <dsg-hdice at jlab.org>
Subject: [dsg-hdice] hdice and hall a meetings

peter  pablo aaron
i suggest you guys set up regular blue jeans meetings to discuss these issues in addition to these e-mail questions
hdice meetings once every two weeks
solid meetings once every two weeks
caen meetings once a month starting in june

there is some engineering course (like the previous one) posted for this afternoon which i hope if you find interesting if you can you guys attend
tyler don't worry about today's course

________________________________
From: dsg-hdice <dsg-hdice-bounces at jlab.org> on behalf of Tyler Lemon <tlemon at jlab.org>
Sent: Thursday, May 28, 2020 10:57 AM
To: dsg-hdice at jlab.org <dsg-hdice at jlab.org>
Subject: [dsg-hdice] Purpose of fsNMR normalization?

Hi Xiangdong,

We've been reviewing the fsNMR program and have a few questions on the normalization, mainly its purpose and what is gained by performing that calculation.

Currently, the program gives the option to subtract the background and perform the "normalization" calculation separately. The background subtraction is understandable since it is removing the background noise from the fsNMR data. The normalization part makes less sense since it is not really normalizing, it's more of putting new data on the same scale as the background using the formula:

new_data_at_freq_F*(max_of_background/background_data_at_freq_F).

What does the final result of the normalization show? Wouldn't it be more helpful to actually normalize the data so it is all on the scale of 0 - 1?

I look forward to your response.

Tyler
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