compton
/
sources


			
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							<!-- https://www.createwithdata.com/chartjs-and-csv/ -->
<!-- https://towardsdatascience.com/4-ways-to-improve-your-plotly-graphs-517c75947f7e -->

<?php
$selected_csv = 

$branch = 'dev';
$season = 'NNBAR2021';
$url = "https://cmd.inp.nsk.su/~compton/gitlist/compton_tables/raw/".$branch."/tables/".$season."/";
$url_total_info = "https://cmd.inp.nsk.su/~compton/gitlist/compton_tables/raw/".$branch."/tables/".$season.".csv";
$text = file_get_contents($url);
$arrays = explode("\n", $text);

$cleanArrs = array_filter($arrays, function($value) {
   return end(explode('.', $value)) == "csv";
});

function isSelected($a, $b){
    if ($a==$b){
        return "selected";
    }
    return "";
}

$selected_csv = isset($_GET["csv_file"]) ? $_GET["csv_file"] : reset($cleanArrs);

?>

<html>
<head>
    <!--<script src="plotly-2.11.1.min.js"></script> -->
    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <link rel="stylesheet" href="main.css">
    <title>Compton interactive plots</title>
    <!-- <script src="chart.js"></script> -->
</head>
<body>
    <div id="gd" style="height: max(70vh, 400px); padding-bottom: 20px;"></div>
            
    <form name="form" action="" method="get">
        <p style="text-align: center;">Select energy point:</p>
        <select name="csv_file" class="select-css" onchange="this.form.submit()">
            <?
            foreach($cleanArrs as $file){
                ?><option value="<?echo $file?>" <?echo isSelected($file, $selected_csv)?>><?echo $file?></option>
                <?
            }
            ?>
        </select>
    </form>


    <script>
        function makeplot(){
            Plotly.d3.csv('<?echo $url_total_info;?>', (allRows)=>{
                const getEnergy = () => {
                    for (var i=0; i<allRows.length; i++){
                        if (allRows[i].energy_point == <?echo reset(explode('_', $selected_csv));?> ){
                            return allRows[i].mean_energy;
                        }
                    }
                    return null;
                };                    
                Plotly.d3.csv('<?echo $url.$selected_csv;?>', function(data){processData(data, getEnergy())});
            }
            );
        }
        function kde(x, y, w) {
            const ts = (t) => t.getTime()/1000;
            const toDateTime = (secs) => {
                let t = new Date(0);
                t.setSeconds(secs);
                return t;
            };
            const steps = 1000;
            const dt =  (ts(x[x.length - 1]) - ts(x[0]))/steps;
            const kernel = (x, x0, w0, y0) => {
                if (Math.abs(x-x0)>w0){
                    return 0;
                }
                return y0/w0;
                //return y0*3*(1-((x-x0)/w0/2)**2)/4;
            }; 
            const get_est = (timestamp) => {
                let val = 0
                for (var i=0; i<x.length; i++){
                    val += kernel(timestamp, ts(x[i]), w[i], y[i]);
                }
                return val;
            };
            //console.log(x, y);
            const timestamp_arr = Plotly.d3.range(steps).map(function(i){return ts(x[0])+i*dt;});
            
            let kdex = [];
            let kdey = [];
            for (var j=0; j<timestamp_arr.length; j++){
                kdex.push(toDateTime(timestamp_arr[j]));
                kdey.push(get_est(timestamp_arr[j]));
            }
            //console.log(kdex, kdey);
            return [kdex, kdey]
        }
        
        function oldAverage(E, L){
            //console.log(E, L);
            if (E.length !== L.length){
                return null;
            }
            let EL = 0;
            let sL = 0;
            for (let i = 0; i<E.length; i++){
                EL += parseFloat(E[i])*parseFloat(L[i]);
                sL += parseFloat(L[i]);
            }
            //console.log(EL, sL, EL/sL);
            return EL/sL;
        }
        
        function processData(allRows, mean_energy) {
            // console.log(allRows);
            var x = [], y = [], std_y = [];
            var dict = {};
            dict['compton'] = [];
            dict['lum'] = [];
            dict['twidth'] = [];
            
            for (var i=0; i<allRows.length; i++){
                row = allRows[i];
                start_time = Date.parse(row['compton_start']);
                stop_time = Date.parse(row['compton_stop']);
                center_time = new Date((start_time + stop_time)/2);
                let timedelta = (stop_time - start_time)/2/1000; // in seconds
                
                x.push( center_time );
                y.push( row['e_mean'] );
                std_y.push( row['e_std'] );
                
                text_str = "<b>Compton</b><br>" + "<i>Start: </i>" + 
                    row['compton_start'] + "<br><i>Stop: </i>" + row['compton_stop'] + "<br><br>";
                text_str = text_str + "<b>Runs: </b>" + row['run_first'] + " - " + row['run_last'] + "<br><br>";
                dict['compton'].push(text_str);
                dict['lum'].push(row['luminosity']);
                dict['twidth'].push(timedelta);
            }
            //console.log( 'X',x, 'Y',y, 'SD', dict );  
            const [a, b] = kde(x, dict['lum'], dict['twidth']);
            dict['kdex'] = a;
            dict['kdey'] = b;
            //console.log(dict['kdex'], dict['kdey']);
            //oldAverage(y, dict['lum']);
            makePlotly( x, y, std_y, dict, mean_energy, oldAverage(y, dict['lum']));
        }
        
        function makePlotly( x, y, std_y, dict, mean_energy, old_mean){
            var plotDiv = document.getElementById("gd");
            var trace1 = {
                x: x,
                y: y,
                yaxis: 'y2',
                mode: 'markers',
                text: dict['compton'],
                hovertemplate: "%{text}<br><br>" + "<extra></extra>",
                hovermode: "x",
                error_y: {
                    type: 'data',
                    array: std_y,
                    color: '#260101',
                },
                showlegend: false,
                marker: {
                    color: '#260101',
                },
                type: "scatter",
            };
            var trace2 = {
                x: dict['kdex'],
                y: dict['kdey'],
                hovertemplate: "%{y}<br><br>" + "<extra></extra>",
                hovermode: "x",
                showlegend: false,
                marker: {
                    color: '#F23030',
                },
                line: {
                    shape: 'hvh',
                },
                type: "scatter",
            };
            var traces = [trace1, trace2];
            
            var updatemenus = [];
            if (mean_energy){
                updatemenus = [{
                buttons: [
                    {
                        args:[{'shapes[0].visible': true, 'shapes[1].visible': false, 'title': 'Mean energy: ' + parseFloat(mean_energy).toFixed(3) + ' MeV',}],
                        label: 'Current average method',
                        method: 'relayout'
                    }, {
                        args:[{'shapes[0].visible': false, 'shapes[1].visible': true, 'title': 'Mean energy: ' + old_mean.toFixed(3)  + ' MeV',}],
                        label: 'Former average method',
                        method: 'relayout'
                    },
                ],
                direction: 'center',
                showactive: 'true',
                type: 'dropdown',
                y: 1.1,
                xanchor: 'left',
                yanchor: 'top',
                active: 0,
            }];
            }
            
            
            var layout = {
                title: 'Mean energy: ' + mean_energy + ' MeV',
                updatemenus: updatemenus,
                font: {
                    size: 18,
                },
                xaxis: {
                    title: "Time, NSK",
                    automargin: true,
                },
                yaxis2: {
                    domain: [0.3, 1],
                    title: "Measured energy, MeV",
                    automargin: true,
                    //showspikes: true,
                    //spikemode: "across",
                    //spikesnap: "data",
                },
                yaxis: {
                    domain: [0, 0.2],
                    automargin: true,
                    zeroline: true,
                    rangemode: 'positive',
                    title: "L, nb<sup>-1</sup>/s",
                    hoverformat: '.2f',
                },
                paper_bgcolor: 'rgba(0,0,0,0)',
                plot_bgcolor: 'rgba(0,0,0,0)',
                autosize: true,
            };
            
            if (mean_energy){
                layout['shapes'] = [{
                    type: 'line',
                    yref: 'y2',
                    xref: 'paper',
                    x0: 0,
                    x1: 1,
                    y0: mean_energy,
                    y1: mean_energy,
                    line: {
                        color: '#590A0A',
                    },
                },
                {
                    type: 'line',
                    yref: 'y2',
                    xref: 'paper',
                    x0: 0,
                    x1: 1,
                    y0: old_mean,
                    y1: old_mean,
                    line: {
                        color: '#590A0A',
                    },
                    visible: false,
                }];
            }
            
            Plotly.newPlot('gd', traces, layout, {modeBarButtonsToRemove: ['toImage'], responsive: true,});
            
        }
        
        makeplot();
        
    </script>

</body>
</html>