GeoSci.xyz SimPEG, 3 Jul 2018

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From YouTube: SimPEG Meeting July 3th 2018

Description

Seogi Kang presents on using sparse norms in EM inversions

A

So I think soggies gonna take the lead today and tell us what about compact norms and such so soggy? Are you you're here and you're, able to see and hear us yeah.

B

I think so why my camera doesn't work, but anyway, that's fine. Okay,.

A

Cool well I'll hand it over to you.

A

Whatever's on your screen, oh.

A

Just make sure everybody's all clicked on to sunny screen and that'll, make sure that you stay with me in him.

A

Keep flashing in and out like we're, okay, you need to click on his click on him and that locks you on to whatever he's showing that makes sense. Oh okay,.

C

A

C

B

Yeah not sure this, and it may not be a right person to talk about this, but I've been using like a dumbs, sparse regularization or I RLS iterative remaking.

B

This so Dom develop most Explorer a potential field, problem, Bradley and manic and I thought like it'll, be useful before conversions as well. So me, yeah, I kind of played with it for a while and okay I'm, using daily basis, yeah kind of to share how I'm, using it.

D

If you lose your life, it's my mouth.

D

Okay, yeah hold on you're.

A

B

So yeah I just need to stir from sort of inverse problem.

B

You got a feed a Miskin term regularization and why we're using those two terms you can set up an inverse problem and the main focus is actually this Phi n, which is a regularization function here and that's where all the gums work and if that stays, and it kind of to comment about the linear and nonlinear inversion here so for like a mag and gravity like problem, which is a linear, inverse problem, YZ equal to GM, Jesus, sensitivity and M is your models for dents it like for gravity into density and maggots, a magnetic susceptibility and in the inversion this sensitivity.

B

Ge doesn't change. So it's fixed, that's kind of simple, but for like a nominative inverse problem like a am problem. First, ec inversion or yen inversion. So now, you're for function is little, not it's nonlinear. So your sensitivity function now it's not fixed, but it's updating in the inversion so like. If you got 10 iteration, each iteration have different sensitivity function, that's a main difference.

B

I'm, just starting with the difference and what like what we need to set up right to actually run this partial inversion effectively for an inversion or dis, inversion and well. This is the main term, or this is kind of simple about simplified version.

B

We usually have a smooth linear sense for smallness and smoothness, but here it's kind of like a lump sum of both of them and what's really important for en problem, is actually setting a right and rest because if you think about what we're seeing okay, we want to have most of most barometer zero. That's what we're asking when we're using sports inversion so for magnetic inversion, it's kind of makes sense! You don't really hear em. Ref is usually zero or four gravity, I. Think as well.

B

I guess, your M ref is usually zero, but for conductivity inversion like this conversion, your M ref is not usually zero. So you have some background conductivity model, so you need to set that MRAP really right to kind of like make really sparse. I. Think that's that that's a very important point. So your initial and Rath is very important.

B

Well, I got if you guys have any question just let me know like it, not very: it's not very prepared talking casual, so here's an example, but this is an example that I used for a ground water problem in California. So our background is about our background is not kind of constant. That first layer is kind of it could be an aquifer about the kill meter. This is the resistivity. We got a clay layer here, but in clay layer having I, don't 500 meter and then we've got another aquifer.

B

It's a little bit more conductive I. Think the distinction here is water level. I! Think if you have a water level somewhere here, then you're gonna get more conductive aquifer compared to other parts, and then you can have a very conductive batteries, for instance, and this is a Skycam data like I'm, not sure anyone knows despite em yeah, but it's a dual moment. So you got a two waveform and so you're gonna get to decay curves as a data. So if I have one sounding at this one be later I'm gonna get.

B

That is two sounding, but the orange one is low moment and blue one is high moment. They're usually like this is normalized data, but if you actually plot the real amplitude high moment will be much larger compared to, and the idea here is high moment seemed very much later time. Channel little moment can much color.

B

The Caillou 1b inversion with that this is what you get for: L you're, seeing the clay layer, okay and both aquifer. You may see something reasonable, but the bottom part kind of see something. But it's hard to say whether you see or not. Okay, then, if you do a sports inversion, that's what you get you're, actually cleaning up all these structures and then you're gonna get very sparse here.

B

I set the kind of reference model as a 5000 meter, but if I said that a hundred ohm meter or like different values, my sparse inversion will not be successful. That's sad! That's an important.

C

Things soggy one: it is the only norm that you're using just that small small. Nor do you have any smoothness in there at all. I do have I do have so, but.

B

What I did this is the code and the 40 is the piece LPL cue number at the piece for smallness and curious for smoothness I. Think I used the cue for one and then Q as each direction. Qx + Q said, but here I think that's that doesn't mean anything well. X doesn't and.

C

When you said it doesn't work because you put in incorrect reference model, what happened the day Durga, so you just couldn't fit the data or that the model came out really crazy. Oh wow, like I, just.

B

I think the mall who came out as like aspirational, distmoved model, because how tom is like an instructor distortion version. You first start with the l2 inversion and when you hit misfit, that's the point where you're searching for Smurfs as farce models.

B

If you use like a wrong reference model or like not sure where it works wrong, but like not proper reference model, you're gonna stay in your smooth model.

C

Okay: um okay: go ahead! Well, any comment done.

E

On your right now, no, and if you start the start of the wrong model, you'll you'll stay there I'll be curious. If you.

A

E

B

Okay, so let's set hundred.

B

Right what I did I just said like what I used was big and I just set the hundred I'm running.

B

This is kind of slow because of the Hangout yeah hang out actually.

B

Yeah, so what's that bad duck? Oh, this is what I've got so you're.

E

C

No, she looks pretty good what's well. What.

B

Is like no I'm, not saying it's bad I think it's not sports, so to make your buy. My point was to make a really sports. If that's what you're looking for I think you're setting an MRAP is very important. So when your M ref is little wrong, you could do an okay job, but I mean like yeah. That's what I'm saying it's like an executive like a proper and rapid. You got a really small.

B

E

And all your gun shy knows are all City will be ready. Yes,.

B

I think well, like my target, like is I'm using the target missed again, so that's kind of that row. One I think I used a ten percent.

B

Yes, you're starting is actually a bit higher than before. Now that's in thousand-and-one.

E

Synergy now so you are you fixing this, as do these once your once your best yeah the sparsity, exactly.

B

I'll explain that later yeah so I think this one and it's like lionsearch yeah yeah.

E

B

C

Alright, what's that this.

B

Is, oh sorry, this is l2 yeah.

C

B

Is l-like? This is this horse. Well,.

C

Trying to do something.

B

But I think I could I need to rerun.

B

Yes, I'm not right, okay, so there's a safe function and with this one you can actually plot.

B

When it's running I just got a quick comment about what them asked his number here that nonlinear version, your sensitivity is changing. It updates every iteration, but what I was thinking? It's just a little bit of cheat because let's say you were when you reach to L to solution now, you're got a model that fits the well so you're, pretty close to solution so and then I think that there I'm fixing like for this, like for the person version, that's a starting point, your L to a smooth model, and then that's your starting point.

B

Point force portion version, they're, pretty close to the solution. Well, I was assuming. Oh, my I. Don't really need to update the sensitivity, so I'm gonna fix the sensitivity matrix whoa when I'm or mulling and I'm using the real model. That's what the masks I'm I mean that way. You could be a little bit more efficient and I found like that's actually fine or your inversion. Rdc.

C

Yeah but perhaps only for a couple of iterations.

B

Yeah but I, it's very hard to measure that, but I am just like good. Like I'm, it's fun that, like converges that I've ran, it seems like.

B

Well, like it yeah I, think that's a tight to kind of trade off by well like I like it depends, but sometimes it gets a lot of iteration and if you want to do it for either DC or yam, that's accept it of time.

E

A

Mean the implementation you the option to do either right now or is it always fixed, based on an option.

B

So you could do if you want. You can update this. That's a mystic curve.

B

That's an option.

C

But when you chose that option, do you keep it throughout the whole inversion or do you do it a few and then change back though I think I'm, just fixing.

B

Or like a first question like a sparse of people, the after l2 inversion, I'm, not updating this if I use the exchange so here this- and this is an option. So if X 3 matrix that's true and I'm, not updating so well, we could be a little bit smarter, like at the end. We could kind of do a one more step. We've been using up like updating.

E

No wait until the updated J, you can always revert yeah.

E

You know do like two or three gospel iteration.

A

Spacing and you are.

E

They and so you'll save yourself a few QJ.

B

Right so that's a possibility, but that's just an option like that. If you want to update you could basically just say hey, this is false and it'll update every.

B

Y and then well, if you actually get real behind x, go.

B

C

Mean another another trajectory through here: gum I'm, not sure whether you ever tried this, but if you're going from the L to then to it to a different normal assay, l0 I mean you could actually step in successive iterations go to like L to you know: 1.5 1.2. You know, and you know, sort of decrease the L as you're converging to whatever final value of P.

C

You want I'm, not suggesting that's a great way to go, but it might be interesting just to see how the program behaves and how you know what large changes you have in the sensitivity that are sort of preventing convergence.

E

So just thing to just march down the the p-value slowly to where we want to go and when I was saying. Is that because we're cooling epsilon it's it's a little bit similar to to Doug's idea where we're going from we're trying to transition something that looks like an altitude, something that looks like an LP. That's all.

B

Right yeah, so those sort of my experience and one thing kind of cool like this image is so the question like. If somebody would question okay, can we see really big conductor here? I think, like this two images saying it's kind of hard to see, I guess we probably need more I got other information to actually kind of resolve. This conductor, I'm.

E

Curious I guess sorry, man interrupting again can I steer you. Can you show you that effort on us.

B

My data feels pretty good.

E

The dots being the X being the real and I predicted well yeah. That's really good, though.

B

I mean like that yeah, it's very, very subtle change, so.

C

Here's a perfect case for actually implementing various do eyes. Yeah this and showing like sorry, you can't see anything. You know trustworthy below 200 or 250 meters, yeah.

B

I think I hear if I start from panel meter it's kind of trying to go there, but I mean like it's. It's very subtle, I guess. So. If somebody used the panel meter like any show, oh they may see. Oh I can see that but I think if you actually started that as 5000 meter. That's what you were see. Yeah.

E

So, like 250 meters, it's kind of your it's gonna be a match. Resolution right, yeah.

B

Yeah so I think good. There's a value here like that kind of what dummy you suggested in an excess or Jie move like you're, using different alarms and kind of like having some sort of statistics or or or model credibility where I wouldn't go to a modal uncertainty. I think there's a probably some value.

B

This is kind of simple example, but we could actually like.

B

Yeah, that's that's one! That's an example, and this is the other, so this is EC one. We got a two conductor here this one and that one I think the idea was the brine, brine aquifer and fresh water. This is smooth, and this is first so it kind of works for DC as well.

B

And I hear I think also setting a reference was actually pretty important. Yet a sports model when I was flying now, I also fixed a day, so I thought, like yeah I'm, not sure like what's the best way, but I think for me kind of having an okay day that okay inversion reserved, quick fixing J seems like an okay good option.

E

B

I think this is kind of bit more. They like. Can you get you? Can you can if they're pushed hard I can go up to like this? No God, like doctors and I, think this is chargeability by edit the IP inversion as well. I think this was truly I, think it's more sparse than the true model, I guess and.

E

As you try now to another, do sparse is just like in Oscars, then there are model, isn't busy all right. That's true! I haven't.

B

Tried- and we could try here so basically putting two right yeah.

B

And I think there's a lot of that. What I'm excited about this so like it using actually in 3d inversion for like, for instance, DC and also everyone I am and the types of like like 2d and 3d inversion, I think it has a lot of value and then it seems, like other people are just doing on the smoothness term. That's my.

B

There was my feeling when I was informed, the artists groups, reserves and stuff, so people are just putting on the smoothness they're, basically doing a block in virgin I guess they're, not putting in the sparseness in the smallness turn that correct most.

E

B

That's a latke okay,.

E

Sorry Simon, can you show your your love, walk, yeah, this yep yeah? You need to let it drift a little bit more than down it's okay. We can talk about it later. Yeah.

B

So yes, I, think, there's two two things going on right, this so smallness a smoothness, so you can kind of like play with that here: yeah, it's actually really nice! Yes, I really want to kind of use it which I haven't really tried. I'm, really like these see any MP in inversion. So that's from my next step.

C

If you go back to the airport case, if you just let the sensitivities change as they would with each iteration and change in him, did it just take a long time to go, or were things unstable? What was the thumb used.

B

During the beta search, um okay, good, as far as I know, what he's doing is like he's, comparing the and then.

B

I'm not exactly sure but I think he's kind of like changing the beta value rather than like keep cooling it, and there are certain conditions like that kind of flame, that that didn't really work for me. So I think I had to always in a fix debate and not dumb. Can you help me I, think I'm not sure where I'm going so what I used? What I had to do was.

B

That in a search false using the beta search, false I think that was important for me to make that make it work for virgin. What.

A

Is the baby search? Do yes,.

E

Obey the search is just an intermediate step. If you're, if you're too far out the target you will, you will just look for people, just look for the right beta and keep the model the same. That way, that was the idea, but might be more destined. Yeah.

B

So that one actually, it makes it quite.

E

Normal no oh yeah, it will be slower because you're doing it you're doing multiple in ourselves right without doing any work. You're just looking for a right, basically yeah.

B

So sometimes I get just great there. So I think that, like here, what I had to do I have to decide making fault. Is that then I'm keep cooling? The beta is that right, yeah.

E

Well, can you look at the log again, I just want to know I just want to see if it goes up or down, or it.

B

Goes up or down, okay,.

E

That's good, at least it tries to shoot yeah.

B

So I think it it's not like it's not meaning I'm, always like a decreasing beta. It does still that's a scaling. I think this beta search step. It's the more like a kind of wine search like kind of sped up yeah just for.

E

Until it finds it, instead of marching on right.

B

F

B

So duck my answer: I think that the reason why I fixed that J I think that was mostly similar. What I as a the resort that I've got, was pretty similar but I like the example that I have tried is kind of limited, so I'm not sure. That's really kinda, okay,.

A

B

But yeah I think I, don't think the sense. The TV changed that much I guess once you're close to y'all. That was my feeling well.

C

I think if you, if you looked at the very end with what you've got and then looked at those sensitivities, compared those with what you had from the O I mean that wouldn't be interesting to see how much change there was right.

B

Though yeah I think that's, that's it for my end and oh right, I just wanted to show you guys. One more didn't have a time to prepare. So this is set an example that I've used for ducks keynote in Denmark.

B

Here what we did, what I did was actually using kind of three different data set. One is frequency domain result and the other Tam I'm Jimmy p.m. and the final one is groan. Brown TM data called nano chem, and so this is a model. So what I'm trying to do here? Okay, I got three different data set I want to invert jointly. That was what yeah.

B

This is the structure conductivity we got a new surface, resistor up top and then big conductor, so I can get all of these codes actually running each inversion, separate inversion and comparing a glass I think this is the movie inversion result. So, with all this frequency domain system, it's very sensitive to the new surface compared to kinda me you're, seeing at the surface resistor well!

B

Well, not you know, you can see the existence and then Uttam under a system is a deeper, but the near surface resolution is and of course, compared to results so they're, seeing the deeper part well, but not that out part and then a note. M is the ground system. Sorry, it has the strongest sensitivity feel in the surface part. So you can see that inertia. Please resist it pretty! Well,.

A

B

You're putting some artifacts at that now you invert them jointly there. You can see all of all of three jointly so but.

B

Yeah I think this is actually important. No I see that the name because domain and ground this is basically what you need to do or joint conversion. So you just need to generate three different problem, generate three different misfit and then sum them over. So here we're using Lyndsey's combo trick to function which is actually pretty cool, and then you can do the same thing for regularization.

B

Right so here we don't need to do anything for regularization right, so we got just one conductivity, so we don't need to you. Don't need to use the combo. Take your function. Yep three inversion was inverting for a single conductivity, now I'm going back to joint. That was actually a joint inversion, which is pretty cool, so you're kind of like getting all the good things into if you're using joint- and this is actually a l0 research, so you're getting sparse model for resolve and time and mountain, and this is the drinking dirty little spots.

B

That's actually I.

B

Think it's all the functionality we're getting so again. We can actually doing conversion or converting for a single conductivity, which is pretty exciting, and this is a simple example for 1d, but at least we got the structure, so we could actually run through Peter yeah. We haven't got the actual capability to do it. I.

E

Look super good Mel. Did you have to do any fudge factor between your surveys or? Oh, no,.

B

I think I, like I, just like yeah I, didn't use any I think it's basically just no fudge factor.

E

B

Yeah so I kind of carefully designed the survey so I think I chose I chose a system that they can help. That's the only thing that I did thanks in each survey, have some pros and cons and then by summing all three they kind of like a compensate each other. That was actually what I did, but actually I got cool wow. It's a fairly well fast.

B

Yes, I think that's. There was about it from my end. Well, my experience about using abortion version yeah, so that's actually really well and then actually pretty excited to use more and more next up. Well,.

E

Let me say that what are you doing? That's awesome.

A

B

Yeah, so so Tom one thing so so I got I made a pool request, so I had to change a couple of things in your code. Okay, you can take a look basically like at this part. This I think I made a comment here in the directive: stuff hi, yeah.

D

B

To kind of remove some some, if, if statement but yeah, you can take a look and make some comment, the test is failing some of your test. That is failing so I, wasn't sure why? So, if you can take a look, okay.

E

B

Yeah I kind of want to learn this as soon as possible because you want to make all the notebooks that we use for our one um course available. So I think this is one of the poster that I can use for that. Yes, yes, so filling your son, yeah, so I think in some gravity and maggin version I think it since, like you're testing the sparseness, so I think that's where the fit like tests are failing. Yeah.

D

B

Well so I think of probably what I've changed it probably screwed things up a bit. I guess: look! No problem! You're, a couple testing not to me oh yeah,.

E

And you saw that one: have you changed it back about the authority for this farce as far as missing the.

B

Only thing that changes- it was part two but I, just change it to a star start to.

E

Know that's the thing. Is it's new to Syfy if you want to do like you're like elementwise operation, with sparse matrices you to use power, otherwise, say your memories gonna blow up? Oh really,.

B

Yeah I looked it up and oh okay, yeah I, didn't know that and that's what I was having errors. Somehow bad wine reason I change it, but yeah I probably got did my scifi, then is it that, like a latest Syfy yeah.

E

That's the search that, what's what I that's what I found on the search who's I was getting memory issues on my side, then that's the answer that I got from the great internet. You need to use power to. If you want to add you elementwise. Oh.

B

But I thought they few, but I need tricks. If you not the story, I thought that are doing element-wise operation they're wrong I can.

E

Look again but I think to what I found and, and they work for me, my memory state stable. If I was using power to in select star star okay, you did. We can double check.

B

Only the only reason I changes, because I was getting errors on my machine, so there was only like reason: I changed, but yeah I could update my side, fun.

B

E

Good we'll merge it down soon.

B

C

Looks great soggy.

A

Alright, there's a couple of things to share. I'll share my screen here in just a second there's, a couple updates to simply just with the most recent releases that I'll share with you, and then there was a call one of Rosemary's students means Meredith. She is interested in doing do is for airborne iam, and we just don't have any examples right now and so I was wondering if somebody would be game to create one.

A

If there's something that's relevant to what you're doing it doesn't necessarily have to be Ian, but if it would be helpful for us to have in the docs anyways it thing so if you're interested in doing eeehm, that would be great. But it's not something else relevant to what you're doing, and you want to take that on that'd be awesome, so she was gonna write up an issue. I haven't seen it yet so I'll ping her today and we'll see.

A

If we can get that written up and then somebody can take it online I'm very interested yeah.

A

It'll be awesome, sorry I think.

B

I got some stuff I need to get anyway, so.

C

The example that you just did is a perfect format for just trying this yeah.

B

Yeah so like a I, just wonder how far we want to go. I think that's of Investigation is kind of like a very limited like a kind of aspect, it's more like a and a hussar can you are on there, but.

C

I think that just providing a something that can produce a result- that is you know, just somehow quantifies.

C

You know how much currents are going down or how much change you're getting when you just change the the background, conductivity or or or any of these these things and then not put it forward like okay. This is how you calculate the DOI, but these are things that you know. If you're going to calculate a DUI, then these things might might be useful and you know if you want to set up, you know on threshold parameter and what you can see or not, then that's fine.

C

We don't care about that, but just just to take and kind of try to codify a little bit that non uniqueness, and you know where you can change the model at large values at a particular depth. I just think, just something along that line would be would be useful right.

C

A

Yeah and I think that that's all she was asking me is just like. If we have you know an example of one way to do it, there's certainly plenty of ways to go about calculating a DUI, but you know if we've got one we can put forth, then that's helpful for people.

A

Okay, the other update I want to share, is contribution from dinner, so this he originally implemented in camp I'm on and has adapted to be suitable for a simpie, and so what it is, is you now run synthetic versions.

A

This is a really good thing to do at the end of any of your notebooks that you're distributing so what it does is it actually shares what your environment is, and so, if you want to actually have somebody reproduce your results, and you can see that you want to pick a point, eight point: three, you can see disparate eyes and then all of the dependencies as well, so something like what Tony and Dawn are talking about with psych I'm.

A

So if you actually want to see if there is a chain here, if you guys are running on different versions and that's what's causing the problem, this is like a very transparent, quick summary of what your environment is. That depends on for that simp independent, so they Keys got a nice version that prints nicely in HTML in the notebook, but it also runs and will print in a Python script. In plain text or I think ipython kernel, so I can do without the HTML tag.

A

It just prints in plain text and then, if there's other stuff, that you've imported that's important for your analysis, like maybe you're using psych Hitler, or something like that, and that's really important for what you're doing there are there's Doc's on how to actually look at I'm not to the listing. So all it does is imports it in checks. The version in principle how.

E

Would you protect this, you let's say I? Could you know put that I've run my computer yeah? If you rewrite.

A

E

You it's gonna, it's gonna over yeah yeah I mean.

A

It's the same thing is like: if you're sharing your books be a version, control stuffs can change, but at least like there's, a wiki there's.

G

A

There's a way to do it and you know first thing: I can just glance it. What you did and I can always hopefully go back to the email or it's like your shirt, yeah yeah, but I recommend for anything that you're sending out for publication or stuff that you're pointing people to in repositories. Just add this spending your notebooks yeah.

D

That's right, yeah.

A

Send it out to dinner with us. That's.

B

A

What since a big, 8 or 0.8 or, and then there are some small updates to just the way, we're storing inner product matrices for the e/m code so trying to hit on that, and if you see anything funky going on, let saw here I know and we'll dig into it, but it was a pretty minor change.

A

Then there's a few other pull requests we'll try and get in. So you can take a look at once. Don's gone through this just maybe ping me dumb and I can try and do a pass to, and we can get a new pretty quickly because it doesn't look like the big loss that you there.

A

The 3d SIL stuff I'm working on trying to get in I ran into some issues, just with versions of properties. Franklin's gone in and looked at that and I just need to figure out what he figured out and that's what we should be on that on the same page, and so once once this. These two floor of us are ready to go.

A

Then we're actually in a place to merge in the 3d SIL code in disparate eyes and so there's some changes I made in discretize that require that we make updates to pay the the biggest thing just being that the cell grout stencils our properties rather than methods. mhm They should have been properties in the first place, but we missed that and so everywhere in sin think there's brackets right now and with that floater question I just put in that fix to shoot it on the step release button.

A

Oh well, so once all of this stuff isn't shape, then we can get both of those.

A

So are there any other pull requests? People want to go here right now, so much.

G

Really then get a changes I'd make to my stuff. I was gonna, wait until the simulation was brought in simulation class. Let's.

A

Take a look, do the simulation class is gonna, be a while.

G

Yeah, why don't we visit who's looking at so we can kind of sit there. Okay,.

G

F

Should revive it with a big one, just go back, I mean it was.

F

F

Initial initial design and some naming convention.

F

E

You do with you guys New York. If we start using and the parallel part I.

A

Think so are you looking at multi, processing or yeah yeah I mean I? Think that's that's worth starting to bring in as long as it's like clear Oh, especially Windows users, can use so I mean multi. Processing is core Python, so I, don't think, there's a problem starting, oh yeah, so, let's just maybe before it goes like too deep.

A

If you have an example good it's running on, if we can do a quick PR you even if it's not ready to bring in just like, we can look through the implementation and give it some thought yeah by yeah.

E

You don't have further yeah. Thank you.

A

Then the only other thing we're gonna create some issues on the apps side of things. So the Houston, of course, that's coming up in a couple weeks, we're hoping to make heavy use of the apps so way more so than the disk like the disk, was sort of showed people and download a couple. This we actually want to have people using it like using them everyday and hopefully will sort of get almost all of them used.

A

So there's a couple of small adaptations that we'll be looking for and potentially the addition of some apps, but the biggest thing that I think will ask for help on is just extending the current ones, so we'll get some B's written up and then, if people are willing to jump in and help, hopefully none of them are too big, so it completion it. Just like you know an easy thing to knock off in an hour or two.

A

So if somebody's willing to take those or take a chunk on that would be very helpful, distribute the workload. It's not good. Yeah, don't you're! So you to Germany comments on that.

A

C

Not particularly.

C

The course it's gonna be awkward in Houston really does take everything to a new level compared to the disk, because we really get to work in depth with the apps. But the other thing is also really trying to see how we truly integrate.

C

You know the apps and EMGs I and all of the GSI elements and of in one kind of seamless holistic model and as we're kind of developing that at this point- and it's probably going to require some kind of you know refactor ization of it, you know of EMGs I, but in the in the interim.

C

Just being able to you know, have the apps use them, connect up with material in EMG aasaiya at different levels and all of the case, history and physical surveys just to be able to kind of somehow to walk through that seamlessly and have the you to become familiar with all parts of that. If we could accomplish even a good step towards that final goal, I think we'll really have something that's going to be useful.

A

All right, any other comments, questions things for today, if not thanks Auggie, that is very exciting, to see and only fun, to get that clear question and start playing on with different arms and am code.

C

Thanks guys and Dom I'm gonna be a lady this afternoon and you around oh yeah,.

B

Wait and done: okay.

C

Yeah thanks guys bye.