Package cc.redberry.core.tensor

Examples of cc.redberry.core.tensor.Expression.transform()

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        Expression F = Tensors.parseExpression("F_lmab=R_lmab");


        Expression lambda = Tensors.parseExpression("k=gamma/(1+gamma)");
        Expression gamma = Tensors.parseExpression("c=gamma");
        iK = (Expression) gamma.transform(lambda.transform(iK));
        K = (Expression) gamma.transform(lambda.transform(K));
        S = (Expression) gamma.transform(lambda.transform(S));
        W = (Expression) gamma.transform(lambda.transform(W));

        OneLoopInput input = new OneLoopInput(2, iK, K, S, W, null, null, F);
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        Expression lambda = Tensors.parseExpression("k=gamma/(1+gamma)");
        Expression gamma = Tensors.parseExpression("c=gamma");
        iK = (Expression) gamma.transform(lambda.transform(iK));
        K = (Expression) gamma.transform(lambda.transform(K));
        S = (Expression) gamma.transform(lambda.transform(S));
        W = (Expression) gamma.transform(lambda.transform(W));

        OneLoopInput input = new OneLoopInput(2, iK, K, S, W, null, null, F);
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        Expression lambda = Tensors.parseExpression("k=gamma/(1+gamma)");
        Expression gamma = Tensors.parseExpression("c=gamma");
        iK = (Expression) gamma.transform(lambda.transform(iK));
        K = (Expression) gamma.transform(lambda.transform(K));
        S = (Expression) gamma.transform(lambda.transform(S));
        W = (Expression) gamma.transform(lambda.transform(W));

        OneLoopInput input = new OneLoopInput(2, iK, K, S, W, null, null, F);

        OneLoopCounterterms action = OneLoopCounterterms.calculateOneLoopCounterterms(input);
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        Expression lambda = Tensors.parseExpression("k=gamma/(1+gamma)");
        Expression gamma = Tensors.parseExpression("c=gamma");
        iK = (Expression) gamma.transform(lambda.transform(iK));
        K = (Expression) gamma.transform(lambda.transform(K));
        S = (Expression) gamma.transform(lambda.transform(S));
        W = (Expression) gamma.transform(lambda.transform(W));

        OneLoopInput input = new OneLoopInput(2, iK, K, S, W, null, null, F);

        OneLoopCounterterms action = OneLoopCounterterms.calculateOneLoopCounterterms(input);
    }
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        Expression F = Tensors.parseExpression("F_lmab=R_lmab");


        Expression lambda = Tensors.parseExpression("k=gamma/(1+gamma)");
        Expression gamma = Tensors.parseExpression("c=gamma");
        iK = (Expression) gamma.transform(lambda.transform(iK));
        K = (Expression) gamma.transform(lambda.transform(K));
        S = (Expression) gamma.transform(lambda.transform(S));
        W = (Expression) gamma.transform(lambda.transform(W));
        M = (Expression) gamma.transform(lambda.transform(M));
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        Expression lambda = Tensors.parseExpression("k=gamma/(1+gamma)");
        Expression gamma = Tensors.parseExpression("c=gamma");
        iK = (Expression) gamma.transform(lambda.transform(iK));
        K = (Expression) gamma.transform(lambda.transform(K));
        S = (Expression) gamma.transform(lambda.transform(S));
        W = (Expression) gamma.transform(lambda.transform(W));
        M = (Expression) gamma.transform(lambda.transform(M));

        OneLoopInput input = new OneLoopInput(4, iK, K, S, W, N, M, F);
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        Expression lambda = Tensors.parseExpression("k=gamma/(1+gamma)");
        Expression gamma = Tensors.parseExpression("c=gamma");
        iK = (Expression) gamma.transform(lambda.transform(iK));
        K = (Expression) gamma.transform(lambda.transform(K));
        S = (Expression) gamma.transform(lambda.transform(S));
        W = (Expression) gamma.transform(lambda.transform(W));
        M = (Expression) gamma.transform(lambda.transform(M));

        OneLoopInput input = new OneLoopInput(4, iK, K, S, W, N, M, F);
        OneLoopCounterterms action = OneLoopCounterterms.calculateOneLoopCounterterms(input);
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        Expression lambda = Tensors.parseExpression("k=gamma/(1+gamma)");
        Expression gamma = Tensors.parseExpression("c=gamma");
        iK = (Expression) gamma.transform(lambda.transform(iK));
        K = (Expression) gamma.transform(lambda.transform(K));
        S = (Expression) gamma.transform(lambda.transform(S));
        W = (Expression) gamma.transform(lambda.transform(W));
        M = (Expression) gamma.transform(lambda.transform(M));

        OneLoopInput input = new OneLoopInput(4, iK, K, S, W, N, M, F);
        OneLoopCounterterms action = OneLoopCounterterms.calculateOneLoopCounterterms(input);
    }
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        Expression gamma = Tensors.parseExpression("c=gamma");
        iK = (Expression) gamma.transform(lambda.transform(iK));
        K = (Expression) gamma.transform(lambda.transform(K));
        S = (Expression) gamma.transform(lambda.transform(S));
        W = (Expression) gamma.transform(lambda.transform(W));
        M = (Expression) gamma.transform(lambda.transform(M));

        OneLoopInput input = new OneLoopInput(4, iK, K, S, W, N, M, F);
        OneLoopCounterterms action = OneLoopCounterterms.calculateOneLoopCounterterms(input);
    }
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        Expression W = Tensors.parseExpression("W^{a}_{b}=(1+beta/2)*R^a_b");
        Expression F = Tensors.parseExpression("F_lmab=R_lmab");


        Expression beta = Tensors.parseExpression("beta=gamma/(1+gamma)");
        iK = (Expression) beta.transform(iK);
        K = (Expression) beta.transform(K);
        S = (Expression) beta.transform(S);
        W = (Expression) beta.transform(W);

        OneLoopInput input = new OneLoopInput(2, iK, K, S, W, null, null, F);
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